JOURNAL.md — Entwickler Evolution History
JOURNAL.md — Entwickler Evolution History
Evolution Attempt [FAILURE] — 20260329-083453
Timestamp: 2026-03-29 08:35:04 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Token-to-Word Ratio Calculation
Rationale
The TOKEN_TO_WORD_RATIO constant is used in multiple places and its calculation could be more accurate and efficient. Refactoring this will improve performance and readability.
Approach
Create a function to calculate the token-to-word ratio based on the actual codebase statistics, and replace the constant with a call to this function.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2170, Requested 11154. Please try again in 6.62s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9846, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 55.970701173s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "55s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260329-054129
Timestamp: 2026-03-29 05:41:37 UTC
Status: FAILURE
Priority: HIGH
Category: bug
Title: Fix journal_entry() to handle keyword arguments
Rationale
The current implementation of journal_entry() is causing a TypeError when called with the ‘journal_file’ keyword argument. This needs to be fixed to prevent test failures and ensure proper journaling functionality.
Approach
Modify the journal_entry() function to accept and handle keyword arguments, specifically ‘journal_file’, by using the **kwargs syntax and checking for the presence of the ‘journal_file’ key.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2102, Requested 11038. Please try again in 5.7s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9794, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 22.77525632s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "22s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260329-015831
Timestamp: 2026-03-29 01:58:39 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Improve Code Readability Through Type Hints and Docstrings
Rationale
The current codebase lacks comprehensive type hints and docstrings, which can hinder readability and maintainability. Refactoring to include these will significantly improve the code’s overall quality and facilitate future improvements.
Approach
Add type hints for function parameters and return types where missing. Include docstrings to describe the purpose and behavior of each function, especially in critical sections of the code.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 18402, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9776, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 20.964827767s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "20s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260328-202423
Timestamp: 2026-03-28 20:24:32 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Improve Code Readability in entwickler.py
Rationale
The entwickler.py file contains long functions and complex conditionals, making it difficult to understand and maintain. Refactoring this code will improve readability and reduce the likelihood of bugs.
Approach
Split long functions into smaller, more focused functions. Simplify complex conditionals by extracting them into separate functions or using more straightforward logic.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2211, Requested 11019. Please try again in 6.149999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9816, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 28.224047779s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "28s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260328-162801
Timestamp: 2026-03-28 16:28:09 UTC
Status: FAILURE
Priority: HIGH
Category: bug
Title: Fix journal_entry() function to handle keyword arguments
Rationale
The recent journal entry indicates a failure due to a TypeError in the journal_entry() function. This is a critical bug that needs to be fixed to ensure the journaling system works correctly. Fixing this bug will prevent future evolution attempts from failing due to this issue.
Approach
Update the journal_entry() function to accept and handle keyword arguments, specifically the ‘journal_file’ argument. This may involve modifying the function signature and adding logic to handle the new argument.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2214, Requested 11077. Please try again in 6.455s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9728, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 51.08121962s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "51s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260328-124252
Timestamp: 2026-03-28 12:43:01 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Logging Setup for Readability and Flexibility
Rationale
The current logging setup is dense and hard to understand. Simplifying and modularizing it will improve readability and maintainability, making future evolution cycles more efficient.
Approach
Extract logging configuration into a separate function or module, and use more descriptive variable names to enhance clarity. Ensure all logging paths are correctly propagated to the RichHandler for consistent output formatting.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2186, Requested 11036. Please try again in 6.109999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9769, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 59.581911309s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "59s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260328-083401
Timestamp: 2026-03-28 08:34:09 UTC
Status: FAILURE
Priority: HIGH
Category: performance
Title: Reduce Unnecessary File I/O in Journal Compaction
Rationale
The recent journal entries indicate failures due to inefficient handling of journal files, which suggests a performance bottleneck. Optimizing this process can significantly improve the agent’s self-evolution efficiency.
Approach
Implement a caching mechanism for journal entries to reduce the number of times the journal file is read and written. This can be achieved by loading the journal entries into memory when the agent starts and flushing the cache to disk periodically or when the agent shuts down.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2232, Requested 11059. Please try again in 6.455s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9739, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 51.226872194s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "51s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260328-051927
Timestamp: 2026-03-28 05:19:34 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Document Tuning Constants
Rationale
The constants like TOKEN_TO_WORD_RATIO, JOURNAL_MAX_LENGTH, and JOURNAL_KEEP_LENGTH are crucial for the functionality but lack clear documentation and might be hard to understand or modify for future developers. Simplifying and documenting these constants will improve code readability and maintainability.
Approach
Extract constants into a separate section or module with clear documentation for each, including the reasoning behind their values and how they are used in the code.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2166, Requested 11044. Please try again in 6.05s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9772, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 25.448588194s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "25s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260328-014725
Timestamp: 2026-03-28 01:47:34 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Large Functions in entwickler.py
Rationale
Several functions in entwickler.py are overly long and complex, making them difficult to maintain and understand. Refactoring these functions will improve code readability and reduce the likelihood of bugs.
Approach
Break down large functions into smaller, more focused functions with clear and descriptive names. Use type hints and docstrings to improve code clarity.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2229, Requested 11027. Please try again in 6.28s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9783, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 26.300829868s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "26s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260327-203325
Timestamp: 2026-03-27 20:33:46 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify test_entwickler.py by Reducing Duplicate Test Code
Rationale
The test suite has duplicate code paths that can be refactored to improve maintainability and reduce the chance of introducing bugs. This change will make the test suite more efficient and easier to understand.
Approach
Extract common test setup and teardown logic into separate functions or classes, and utilize pytest fixtures to minimize code duplication.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1042, in evolution_cycle
backups = apply_patches(patches)
^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 727, in apply_patches
raise ValueError(f"Generated code has syntax errors: {fpath}")
ValueError: Generated code has syntax errors: test_entwickler.py
Evolution Attempt [FAILURE] — 20260327-164842
Timestamp: 2026-03-27 16:48:50 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Simplify and Improve Logging Configuration
Rationale
The current logging configuration is using a verbose setup with several lines of code, which can be simplified to improve readability and maintainability. This refactoring will make it easier to manage logging settings in the future.
Approach
Replace the existing logging configuration with a simpler setup using the logging.config module, reducing the number of lines of code and improving readability.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2180, Requested 11029. Please try again in 6.045s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9765, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 9.849337096s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "9s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260327-125515
Timestamp: 2026-03-27 12:55:22 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Improve Readability of Logging Configuration
Rationale
The current logging configuration is scattered and hard to understand. Simplifying and refactoring it will improve maintainability and reduce the chance of configuration errors.
Approach
Extract the logging configuration into a separate function or module, and apply consistent naming conventions and type hints. Use existing logging libraries to simplify the configuration.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2227, Requested 11164. Please try again in 6.955s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9796, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 37.573758521s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "37s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260327-084427
Timestamp: 2026-03-27 08:44:36 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Improve Code Organization and Readability
Rationale
The current codebase has a large number of magic numbers and strings, which can make it harder to understand and maintain. Refactoring these into named constants can improve readability and make the code easier to modify in the future.
Approach
Extract magic numbers and strings into named constants at the top of the entwickler.py file, replacing their occurrences throughout the code
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2220, Requested 11177. Please try again in 6.985s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9768, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 24.018470347s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "24s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260327-054040
Timestamp: 2026-03-27 05:40:48 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Refactor entwickler.py for Readability and Maintainability
Rationale
The current entwickler.py file is dense and lacks clear separation of concerns, making it difficult to navigate and modify. Refactoring it will improve maintainability and reduce the likelihood of introducing bugs.
Approach
Split the file into logical sections or modules, extract functions for distinct tasks, and apply PEP 8 guidelines for naming conventions, spacing, and docstrings.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2234, Requested 11047. Please try again in 6.405s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9784, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 11.823382217s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "11s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260327-015519
Timestamp: 2026-03-27 01:55:28 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Improve Logging Configuration
Rationale
The logging configuration is scattered throughout the codebase and can be improved for better readability and maintainability. This refactor can make it easier to manage logging levels and handlers.
Approach
Extract the logging configuration into a separate function or module, and use a more standardized approach to logging, such as using a logging dictionary or a configuration file.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2134, Requested 11017. Please try again in 5.755s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9770, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 32.347793634s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "32s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260326-203136
Timestamp: 2026-03-26 20:31:44 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor entwickler.py for Readability and Maintainability
Rationale
The entwickler.py file has a high number of lines and complexity, making it hard to maintain and extend. Refactoring it will improve readability, reduce errors, and make it easier to evolve the agent further.
Approach
Extract magic numbers and tuning constants into a separate configuration module, simplify the logging setup, and break down long functions into smaller, more manageable pieces.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2173, Requested 11033. Please try again in 6.03s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9781, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 16.072401139s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "16s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260326-165629
Timestamp: 2026-03-26 16:56:37 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Type-Hint Code in entwickler.py
Rationale
The current codebase has areas with complex logic and missing type hints, making it hard to maintain and understand. Refactoring these sections will improve code readability and robustness.
Approach
Identify functions in entwickler.py with complex conditionals or missing type hints, simplify their logic, and add appropriate type hints for function parameters and return types.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2194, Requested 11030. Please try again in 6.119999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9786, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 22.829999076s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "22s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260326-130316
Timestamp: 2026-03-26 13:03:25 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Improve Code Readability and Structure in entwickler.py
Rationale
The current codebase has areas with duplicated logic, missing type hints, and overly complex conditionals. Refactoring these areas will improve code maintainability, readability, and overall quality.
Approach
Apply refactoring techniques to simplify conditional statements, eliminate duplicated code, and add type hints for function parameters and return types. Focus on functions related to journal processing and evolution cycle logic.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2173, Requested 11048. Please try again in 6.105s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9776, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 35.323198341s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "35s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260326-084806
Timestamp: 2026-03-26 08:48:15 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Code for Better Readability and Maintainability
Rationale
The current codebase has a lot of duplicated logic and poor naming conventions, making it difficult to understand and maintain. Refactoring the code will improve its readability and maintainability, making it easier to identify and fix bugs.
Approach
Apply the refactor skill to identify and refactor code smells such as duplicated logic, poor naming conventions, and overly complex conditionals. Use tools like pylint and autopep8 to automate the refactoring process.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 18418, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9763, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 45.500811055s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "45s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260326-052937
Timestamp: 2026-03-26 05:29:45 UTC
Status: FAILURE
Priority: HIGH
Category: architecture
Title: Improve Code Organization and Structure
Rationale
The codebase is growing in complexity, and a clear structure is essential for maintainability and further improvements. This change will simplify the codebase, reduce duplication, and make it easier to add new features.
Approach
Refactor the code into clear modules, each with a specific responsibility. Move related functions and variables into their respective modules, reducing global scope and improving encapsulation.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 18391, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9775, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 15.031603877s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "15s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260326-015528
Timestamp: 2026-03-26 01:55:36 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Import Handling
Rationale
The current import system can be improved by reducing duplicated code and enhancing readability, which would make maintenance easier and reduce the chance of errors. Recent tests and security improvements suggest that focusing on code quality is the next logical step.
Approach
Extract duplicated import logic into a separate function or module to handle imports more efficiently and make the codebase more modular.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 18380, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9768, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 23.556513768s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "23s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260325-203347
Timestamp: 2026-03-25 20:33:56 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Refactor entwickler.py for Improved Readability
Rationale
The current entwickler.py file is long and complex, making it difficult to understand and maintain. Refactoring it will improve its readability and make it easier to add new features.
Approach
Split the entwickler.py file into smaller modules, each responsible for a specific functionality. Use clear and descriptive variable names and add type hints for function parameters and return types.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2236, Requested 11038. Please try again in 6.37s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9771, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 4.413710672s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "4s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260325-165802
Timestamp: 2026-03-25 16:58:11 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor logging configuration for better readability and maintainability
Rationale
The current logging configuration is mixed with other setup code, making it hard to understand and modify. Refactoring it into a separate function or section will improve readability and maintainability.
Approach
Extract the logging configuration into a separate function, configure_logging, which initializes the logging system with the desired settings. Use type hints and a clear docstring to explain the purpose of the function.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2216, Requested 11048. Please try again in 6.32s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9761, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 49.107778509s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "49s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260325-125814
Timestamp: 2026-03-25 12:58:23 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Code Organization
Rationale
The current codebase is growing and needs better organization to improve maintainability and readability. Refactoring will help reduce technical debt and make it easier to add new features.
Approach
Extract functions from the main script into separate modules, reduce duplicated code, and improve naming conventions for better clarity.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 18370, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9829, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 37.402861116s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "37s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260325-084314
Timestamp: 2026-03-25 08:43:22 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Duplicate Logic in Test Suite
Rationale
The test suite contains duplicate logic that can be extracted into a separate function to improve readability and maintainability. This change aligns with the suggested focus on refactoring code smells.
Approach
Identify duplicate test logic and extract it into a reusable function. Update test functions to call the new function instead of duplicating the code.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1042, in evolution_cycle
backups = apply_patches(patches)
^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 727, in apply_patches
raise ValueError(f"Generated code has syntax errors: {fpath}")
ValueError: Generated code has syntax errors: test_entwickler.py
Evolution Attempt [FAILURE] — 20260325-052116
Timestamp: 2026-03-25 05:21:24 UTC
Status: FAILURE
Priority: HIGH
Category: architecture
Title: Decouple Core Logic from Journaling and Testing
Rationale
The current architecture intertwines core logic with journaling and testing, making the codebase rigid and harder to maintain. Decoupling these components will improve modularity, reusability, and scalability.
Approach
Extract journaling and testing logic into separate modules, using dependency injection to provide these services to the core logic. Implement interfaces for journaling and testing to facilitate swapping out different implementations.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 18397, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9781, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 35.777410685s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "35s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260325-014917
Timestamp: 2026-03-25 01:49:24 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Extract Functionality to Reduce entwickler.py Complexity
Rationale
The entwickler.py file is large and complex, making it difficult to maintain and evolve. Refactoring it will improve readability, maintainability, and scalability.
Approach
Extract the journal compaction logic into a separate function, allowing for easier testing and improvement. Simplify the main script by removing duplicated code and improving variable naming.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2208, Requested 11031. Please try again in 6.194999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9798, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 35.847256238s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "35s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260324-203634
Timestamp: 2026-03-24 20:36:42 UTC
Status: FAILURE
Priority: HIGH
Category: architecture
Title: Separate Concerns in entwickler.py
Rationale
The current entwickler.py file is doing too much and has many unrelated functions, making it hard to maintain and extend. Separating concerns into different modules will improve code readability, maintainability, and scalability.
Approach
Move functions related to logging, configuration, and GitHub API interactions into separate modules, and use imports to access these functions in entwickler.py
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2205, Requested 11065. Please try again in 6.35s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9796, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 17.491969853s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "17s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260324-165545
Timestamp: 2026-03-24 16:55:53 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify Logging Configuration
Rationale
The current logging setup is complex and could be simplified for better readability and maintainability. Streamlining this code will make future improvements easier and reduce the chance of introducing bugs.
Approach
Refactor the logging configuration to use a more straightforward approach, potentially by creating a separate function or class for handling logging setup, and simplify the logging format string.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2129, Requested 11023. Please try again in 5.76s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9770, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 6.907567397s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "6s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260324-084459
Timestamp: 2026-03-24 08:45:07 UTC
Status: FAILURE
Priority: MEDIUM
Category: architecture
Title: Extract Magic Numbers into Configuration Constants
Rationale
The codebase contains several magic numbers (e.g., TOKEN_TO_WORD_RATIO, JOURNAL_MAX_LENGTH, JOURNAL_KEEP_LENGTH) that are used directly in the code. Extracting these into configuration constants will improve code readability and maintainability.
Approach
Create a new configuration file (e.g., config.py) and define the magic numbers as constants. Replace the magic numbers in the code with references to these constants.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2219, Requested 11051. Please try again in 6.35s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9785, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 52.853994219s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "52s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260324-052139
Timestamp: 2026-03-24 05:21:49 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Duplicate Logic in Setup and Initialization
Rationale
The code has several areas with duplicated logic, particularly in setup and initialization. This duplication not only increases the maintenance burden but also makes the code harder to understand and modify. Refactoring these areas will improve code readability, reduce bugs, and enhance overall maintainability.
Approach
Identify and extract duplicated logic into reusable functions or classes. Focus on setup and initialization code paths, ensuring that each piece of logic has a single, clear responsibility. Utilize type hints and docstrings to improve code clarity and facilitate future maintenance.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2203, Requested 11085. Please try again in 6.44s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9687, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 11.406158373s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "11s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260324-014335
Timestamp: 2026-03-24 01:43:43 UTC
Status: FAILURE
Priority: HIGH
Category: architecture
Title: Improve Modularization and Organization of Source Code
Rationale
The current source code is quite dense and complex, making it difficult to maintain and extend. By modularizing and reorganizing the code, we can improve its readability, scalability, and maintainability.
Approach
Extract smaller, independent functions and modules to reduce complexity, improve naming conventions, and group related functionality together. Create separate modules for specific tasks such as logging, configuration, and LLM interactions.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 18411, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9770, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 16.879884374s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "16s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260323-203358
Timestamp: 2026-03-23 20:34:06 UTC
Status: FAILURE
Priority: HIGH
Category: architecture
Title: Refactor Code Organization
Rationale
The current codebase has a lot of duplicated logic and could benefit from a more modular design. By refactoring the code organization, we can make the code more maintainable, efficient, and easier to understand.
Approach
Extract functions and classes into separate modules, and introduce an object-oriented design to manage the complexity of the codebase. Use type hints and docstrings to improve code readability and maintainability.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 18402, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9776, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 54.277675762s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "54s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260323-165351
Timestamp: 2026-03-23 16:53:59 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Simplify Logging Configuration
Rationale
The current logging configuration is verbose and contains repetitive code. Simplifying it will improve code readability and maintainability.
Approach
Extract the logging configuration into a separate function and use the logging.config module to simplify the configuration process.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1023, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 612, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 266, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2184, Requested 10995. Please try again in 5.895s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 9840, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 953.20343ms.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "0s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260323-125613
Timestamp: 2026-03-23 12:56:37 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor duplicated logic in test_entwickler.py
Rationale
The test suite contains duplicated logic which can be refactored to make the code more maintainable and easier to understand. This improvement aligns with the suggested focus of ‘refactor’ and does not overlap with recently attempted categories.
Approach
Identify and extract duplicated logic in test_entwickler.py into separate functions or classes, and then replace the duplicated code with calls to these new functions or classes.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1008, in evolution_cycle
backups = apply_patches(patches)
^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 693, in apply_patches
raise ValueError(f"Generated code has syntax errors: {fpath}")
ValueError: Generated code has syntax errors: test_entwickler.py
Evolution Attempt [FAILURE] — 20260323-084957
Timestamp: 2026-03-23 08:50:06 UTC
Status: FAILURE
Priority: HIGH
Category: bug
Title: Fix Journal Entry Keyword Argument Error
Rationale
The current journal entry function is failing due to an unexpected keyword argument ‘journal_file’. This bug needs to be addressed to ensure the journaling system works correctly.
Approach
Update the journal_entry function to accept the ‘journal_file’ keyword argument or modify the function call to not pass this argument if it’s not required.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 17587, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 17587, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 53.780265901s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "53s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260323-052754
Timestamp: 2026-03-23 05:28:05 UTC
Status: FAILURE
Priority: HIGH
Category: architecture
Title: Refactor Journal Handling
Rationale
The recent journal entries and test failures indicate issues with journal handling. Improving this area will enhance the agent’s ability to track its evolution and learn from its mistakes, aligning with the agent’s core mission of self-improvement.
Approach
Introduce a dedicated Journal class to encapsulate journal-related logic, including parsing, writing, and compaction. This will simplify the code, reduce the likelihood of errors, and make it easier to extend journaling capabilities in the future.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 17629, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 17629, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 54.886787004s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "54s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260323-015126
Timestamp: 2026-03-23 01:51:49 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Duplicate Logic in Test Suite
Rationale
Test suite has duplicate logic in multiple test functions, making maintenance harder and increasing the chance of bugs. Refactoring will simplify tests and ensure they remain functional as the agent evolves.
Approach
Extract duplicate logic into a separate utility function that can be reused across multiple tests. This will involve identifying the common logic, creating a new function with appropriate parameters, and modifying existing tests to call the new function.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1008, in evolution_cycle
backups = apply_patches(patches)
^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 693, in apply_patches
raise ValueError(f"Generated code has syntax errors: {fpath}")
ValueError: Generated code has syntax errors: test_entwickler.py
Evolution Attempt [FAILURE] — 20260322-202115
Timestamp: 2026-03-22 20:21:24 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Large Functions in entwickler.py
Rationale
Several functions in entwickler.py are overly complex and long, making them hard to understand and maintain. Refactoring these functions will improve code readability and reduce the likelihood of bugs.
Approach
Identify the longest functions in entwickler.py and break them down into smaller, more focused functions with clear and descriptive names. Use type hints and docstrings to improve function documentation.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2217, Requested 10666. Please try again in 4.415s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10666, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 36.392454983s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "36s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260322-162435
Timestamp: 2026-03-22 16:24:42 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor logging setup for better readability
Rationale
The current logging setup is densely packed and hard to understand, making it difficult to modify or extend. Refactoring it will improve maintainability and readability.
Approach
Extract logging configuration into a separate function, and use type hints for clarity. Simplify the logging format string and reduce duplication.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2212, Requested 10648. Please try again in 4.3s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10648, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 17.418344709s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "17s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260322-123958
Timestamp: 2026-03-22 12:40:06 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify Token To Word Ratio Calculation
Rationale
The current implementation of TOKEN_TO_WORD_RATIO is a magic number. Refactoring it to be more flexible and explainable will make the code easier to understand and maintain.
Approach
Introduce a function to calculate the token to word ratio based on a sample of text, allowing for more dynamic and data-driven calculation.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2234, Requested 10652. Please try again in 4.43s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10652, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 54.354215604s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "54s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260322-082913
Timestamp: 2026-03-22 08:29:22 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Simplify Tuning Constants Extraction
Rationale
The current extraction of tuning constants, such as TOKEN_TO_WORD_RATIO, JOURNAL_MAX_LENGTH, and JOURNAL_KEEP_LENGTH, is done in a way that makes the code slightly more complex than necessary. Simplifying this extraction will improve the readability and maintainability of the codebase.
Approach
Extract the tuning constants into a separate configuration file or a dictionary within the entwickler.py file, allowing for easier modification and management of these constants.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2213, Requested 10686. Please try again in 4.495s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10686, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 38.334342569s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "38s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260322-051714
Timestamp: 2026-03-22 05:17:22 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor entwickler.py for Improved Readability
Rationale
The current implementation of entwickler.py is dense and hard to navigate, making it challenging for future improvements. Refactoring will improve maintainability and readability.
Approach
Extract functions for setting up logging, loading environment variables, and initializing the skills directory. Reduce repetition and simplify conditional statements.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2231, Requested 10655. Please try again in 4.43s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10655, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 38.244578636s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "38s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260322-015016
Timestamp: 2026-03-22 01:50:24 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Improve Readability of Code in entwickler.py
Rationale
The codebase has grown and some parts are becoming complex and hard to understand. Simplifying and improving the readability of the code will make it easier to maintain and understand, reducing the likelihood of introducing bugs and improving overall performance.
Approach
Extract magic numbers into named constants, reduce duplicated logic, and apply consistent naming conventions throughout the entwickler.py file.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2202, Requested 10674. Please try again in 4.38s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10674, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 36.096018854s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "36s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260321-202051
Timestamp: 2026-03-21 20:21:00 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Refactor journal compaction logic
Rationale
The recent test failures indicate that the journal compaction logic is flawed. Refactoring this logic will improve the overall stability and reliability of the agent.
Approach
Modify the journal compaction function to remove the ‘journal_file’ keyword argument and instead use the ‘JOURNAL_FILE’ constant defined in entwickler.py. Additionally, simplify the journal compaction logic to only keep the most recent ‘JOURNAL_KEEP_LENGTH’ lines.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 17625, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 17625, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 204.031924ms.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "0s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260321-162335
Timestamp: 2026-03-21 16:23:42 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Refactor logging setup in entwickler.py
Rationale
Current logging setup is verbose and can be simplified. Refactoring will improve readability and maintainability of the codebase.
Approach
Extract logging configuration into a separate function, reduce duplicated code, and apply consistent naming conventions.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2215, Requested 10636. Please try again in 4.255s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10636, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.BadRequestError: GeminiException BadRequestError - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 18.096640376s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "18s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260321-123747
Timestamp: 2026-03-21 12:37:55 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Simplify the logging setup for better readability and maintainability
Rationale
The current logging setup, while functional, could be simplified for easier understanding and modification. This improves the overall code quality and maintainability.
Approach
Extract the logging configuration into a separate function to simplify the setup process and make it more modular.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2210, Requested 10639. Please try again in 4.244999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10639, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 5.110673501s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "5s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260321-082657
Timestamp: 2026-03-21 08:27:04 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor duplicated code in test_entwickler.py
Rationale
The duplicated code in test_entwickler.py introduces unnecessary complexity and potential maintenance issues, and refactoring it will improve code readability and maintainability
Approach
Extract a separate function for the duplicated code, and call it from the relevant test functions
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 1008, in evolution_cycle
backups = apply_patches(patches)
^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 693, in apply_patches
raise ValueError(f"Generated code has syntax errors: {fpath}")
ValueError: Generated code has syntax errors: test_entwickler.py
Evolution Attempt [FAILURE] — 20260321-050435
Timestamp: 2026-03-21 05:04:44 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Refactor entwickler.py to Extract Constants into Separate Module
Rationale
The entwickler.py file contains several tuning constants that can be extracted into a separate module for better organization and maintainability. This change will improve code readability and make it easier to adjust these constants in the future.
Approach
Create a new module named ‘config.py’ and move constants such as TOKEN_TO_WORD_RATIO, JOURNAL_MAX_LENGTH, and JOURNAL_KEEP_LENGTH into this module. Then, import these constants in entwickler.py as needed.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2220, Requested 10701. Please try again in 4.605s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10701, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 15.831748401s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "15s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260321-012819
Timestamp: 2026-03-21 01:28:27 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor logging setup for better modularity
Rationale
The current logging setup is not modular and could be improved for easier maintenance and extension. Given that ‘test’ and ‘security’ were recently attempted, and ‘optimize’ is suggested but ‘refactor’ hasn’t been tried recently, this improvement aligns with the need for focused, incremental changes that enhance code quality without repeating recent efforts.
Approach
Extract logging configuration into a separate function or module to make it more modular and reusable. This could involve creating a logging_config.py file that defines the logging setup, including handlers and formatters, and then importing this setup in the main entwickler.py file.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2218, Requested 10744. Please try again in 4.81s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10744, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 32.636150981s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "32s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260320-202650
Timestamp: 2026-03-20 20:26:59 UTC
Status: FAILURE
Priority: HIGH
Category: bug
Title: Fix Journal Compaction
Rationale
The recent journal entries indicate a failure in the test_journal_compaction test, which suggests a bug in the journal compaction logic. Fixing this bug is crucial to ensure the journal remains manageable and the agent can effectively learn from its evolution attempts.
Approach
Modify the journal compaction function to correctly handle the journal_entry function and its keyword arguments. Review the error message and the test_journal_compaction test to identify the root cause of the issue.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 17607, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 17607, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 1.068727797s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "1s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260320-163731
Timestamp: 2026-03-20 16:37:40 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Logging Configuration
Rationale
The current logging configuration is not following best practices and is using a complex setup. Simplifying and standardizing the logging will improve code readability and maintainability.
Approach
Replace the custom logging configuration with a standardized Python logging setup using a dictionary configuration. Remove redundant and unnecessary logging code.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2177, Requested 10644. Please try again in 4.105s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10644, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 20.008199774s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "20s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260320-124922
Timestamp: 2026-03-20 12:49:30 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Simplify and standardize logging configuration
Rationale
The logging configuration is currently spread across multiple lines and files, making it difficult to manage and extend. Refactoring it will improve code readability and maintainability.
Approach
Extract the logging configuration into a separate function or module, and use a consistent naming convention for logging variables and functions.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2144, Requested 10655. Please try again in 3.994999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10655, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 29.815282151s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "29s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260320-083510
Timestamp: 2026-03-20 08:35:19 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor entwickler.py to reduce duplicated logic and improve readability
Rationale
The entwickler.py file contains duplicated logic and complex conditionals that make it harder to maintain and understand. Refactoring this code will improve readability, reduce the chance of bugs, and make it easier to add new features.
Approach
Extract duplicated logic into separate functions, simplify conditionals, and use type hints to improve code clarity. Specifically, focus on the TOKEN_TO_WORD_RATIO and JOURNAL_MAX_LENGTH sections, which can be refactored into separate functions or constants.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2179, Requested 10723. Please try again in 4.51s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10723, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 41.225667375s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "41s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260320-051402
Timestamp: 2026-03-20 05:14:11 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor entwickler.py for Readability and Maintainability
Rationale
The entwickler.py file has grown complex and needs refactoring for better readability and maintainability. This improvement will make it easier for future evolution cycles to understand and modify the codebase.
Approach
Extract magic numbers into named constants, simplify complex conditionals, and break down long functions into smaller, more focused ones.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2230, Requested 10661. Please try again in 4.455s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10661, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 49.257122303s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "49s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260320-014520
Timestamp: 2026-03-20 01:45:29 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Code Organization for Improved Maintainability
Rationale
The current codebase has a large amount of duplicated logic and poorly named functions. Refactoring the code organization will improve maintainability, readability, and scalability.
Approach
Extract duplicated logic into separate functions, rename functions and variables for clarity, and reorganize code into logical modules
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 17572, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 17572, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 31.421242099s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
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}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "31s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260319-203152
Timestamp: 2026-03-19 20:31:59 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor entwickler.py for improved readability and maintainability
Rationale
The entwickler.py file is the core of the Entwickler agent and is becoming increasingly complex. Refactoring it will make it easier to understand, modify, and extend, ultimately improving the overall quality and reliability of the agent.
Approach
Extract magic numbers into named constants, group related functions together, and simplify conditional statements. Specifically, the TOKEN_TO_WORD_RATIO, JOURNAL_MAX_LENGTH, and JOURNAL_KEEP_LENGTH constants can be extracted into a separate section or file for better organization.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2230, Requested 10709. Please try again in 4.695s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10709, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 425.484746ms.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "0s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260319-165328
Timestamp: 2026-03-19 16:53:37 UTC
Status: FAILURE
Priority: MEDIUM
Category: architecture
Title: Improve Code Organization
Rationale
The current codebase has several functions and variables defined at the top level. Refactoring the code to use a more modular approach will improve maintainability and make it easier to extend.
Approach
Create separate modules for utility functions, constants, and classes. Use import statements to make these modules available where needed.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 17576, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 17576, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 22.749433222s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "22s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260319-125359
Timestamp: 2026-03-19 12:54:09 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Token Ratio Calculation
Rationale
The token to word ratio calculation is a crucial component in the agent’s source code analysis. Refactoring it will improve the agent’s overall performance and accuracy. This change is necessary to ensure the agent can effectively process and understand the source code it is analyzing.
Approach
Extract the token to word ratio calculation into a separate function with a clear and descriptive name. Use type hints to specify the input and output types of the function. Consider using a more efficient algorithm for calculating the ratio if possible.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2111, Requested 10696. Please try again in 4.035s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10696, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 51.068348551s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "51s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260319-083641
Timestamp: 2026-03-19 08:36:49 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Improve Code Readability and Maintainability
Rationale
The current codebase has several long functions and complex conditionals, making it hard to understand and maintain. Refactoring these areas will improve code readability and reduce the likelihood of bugs.
Approach
Extract smaller functions from long functions, simplify conditionals, and add type hints and docstrings where necessary
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 17574, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 17574, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 11.035981499s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "11s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260319-052054
Timestamp: 2026-03-19 05:21:03 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify Journal Compaction Logic
Rationale
The journal compaction logic has been a recent point of failure, and simplifying it would make the code more robust and easier to test
Approach
Remove the ‘journal_file’ keyword argument from the journal_entry function and modify the function to directly write to the JOURNAL_FILE
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2189, Requested 10650. Please try again in 4.195s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10650, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 57.084984218s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "57s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260319-015049
Timestamp: 2026-03-19 01:50:57 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Standardize Logging Handling
Rationale
The current logging setup is complex and might lead to inconsistencies. Simplifying and standardizing it will improve maintainability and ensure that logs are handled uniformly across the application.
Approach
Extract a separate logging configuration module to centralize log formatting, level, and handlers. Use a consistent logging pattern throughout the codebase, ensuring all critical events are logged with necessary details.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 17597, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 17597, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 2.821415352s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "2s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260318-203100
Timestamp: 2026-03-18 20:31:09 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor entwickler.py to Improve Code Organization
Rationale
The codebase is growing, and some parts of entwickler.py are becoming too long and complex. Refactoring will improve maintainability and readability.
Approach
Extract functions and classes related to journaling, testing, and LLM API interactions into separate modules to reduce the size of entwickler.py and improve organization.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2111, Requested 10657. Please try again in 3.84s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10657, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 51.004881331s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "51s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260318-165453
Timestamp: 2026-03-18 16:55:03 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify Token Ratio Calculation
Rationale
The TOKEN_TO_WORD_RATIO is currently a magic number and can be refactored to be more dynamic and understandable. Refactoring this can improve code readability and maintainability.
Approach
Replace the hardcoded TOKEN_TO_WORD_RATIO with a calculated value based on the actual token and word counts from the source code. This can be achieved by parsing the source code, counting the tokens and words, and then calculating the ratio.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2211, Requested 10689. Please try again in 4.5s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10689, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 57.384655364s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "57s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260318-125948
Timestamp: 2026-03-18 12:59:57 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Improve the journal compaction logic
Rationale
The recent journal entry indicates a test failure due to an unexpected keyword argument in the journal_entry function, which suggests that the journal compaction logic is in need of improvement. Refactoring this logic will prevent similar test failures in the future and improve the overall quality of the codebase.
Approach
Modify the journal_entry function to accommodate the ‘journal_file’ keyword argument and update the compaction logic to correctly handle the journal file.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2134, Requested 10680. Please try again in 4.069999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10680, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 3.314143962s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "3s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260318-084149
Timestamp: 2026-03-18 08:41:57 UTC
Status: FAILURE
Priority: HIGH
Category: architecture
Title: Simplify Logging Configuration
Rationale
The current logging configuration is scattered across multiple lines and can be simplified for better readability and maintainability. This will also make it easier to adjust logging settings in the future.
Approach
Combine the logging configuration into a single, coherent block, utilizing the logging.config module for a more structured approach.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2231, Requested 10650. Please try again in 4.405s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10650, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 3.242087152s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "3s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260318-052354
Timestamp: 2026-03-18 05:24:02 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Improve Error Handling in entwickler.py
Rationale
The current error handling in entwickler.py is not comprehensive, and improvements are needed to ensure that the agent can recover from unexpected errors and provide informative error messages.
Approach
Refactor the error handling in entwickler.py by adding try/except blocks to catch specific exceptions, logging error messages, and providing informative error messages to the user.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2253, Requested 10673. Please try again in 4.63s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10673, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 58.690261882s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "58s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260318-015021
Timestamp: 2026-03-18 01:50:29 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Code Smells in entwickler.py
Rationale
As the agent continues to evolve, the codebase needs to remain maintainable and easy to understand. Refactoring code smells will improve readability and reduce the likelihood of introducing bugs.
Approach
Identify functions in entwickler.py that are too long, contain duplicated logic, or have poor naming. Apply standard refactoring techniques such as extracting methods, renaming variables, and simplifying conditionals.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2253, Requested 10690. Please try again in 4.715s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10690, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 31.024928601s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "31s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260317-203420
Timestamp: 2026-03-17 20:34:29 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Improve entwickler.py Code Readability
Rationale
The current codebase, specifically entwickler.py, contains long functions and complex conditionals, which makes it hard to maintain and understand. Refactoring will improve code readability and reduce the likelihood of errors.
Approach
Break down long functions into smaller ones, improve variable naming, and reduce duplicated logic. Focus on the ‘load_dotenv’ and ‘logging.basicConfig’ sections.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2196, Requested 10668. Please try again in 4.319999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10668, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 31.410930363s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "31s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260317-170013
Timestamp: 2026-03-17 17:00:22 UTC
Status: FAILURE
Priority: HIGH
Category: bug
Title: Fix TypeError in test_journal_compaction
Rationale
The current test_journal_compaction test is failing due to a TypeError, indicating an issue with the journal_entry function. Resolving this bug is essential to ensure that the test suite is reliable and effective.
Approach
Update the journal_entry function to remove the unnecessary ‘journal_file’ keyword argument, as it is not being used in the function.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2199, Requested 10657. Please try again in 4.28s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10657, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 38.498903622s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "38s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260317-130052
Timestamp: 2026-03-17 13:01:05 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Improve Journal Compaction Logic
Rationale
The recent journal entry failure due to a TypeError in test_journal_compaction indicates that the current journal compaction logic is flawed and in need of simplification and improvement. This is crucial for maintaining a clean and efficient journal history, which is essential for the agent’s self-assessment and improvement cycles.
Approach
Refactor the journal compaction function to remove unnecessary keyword arguments and improve its handling of journal entries. This will involve reviewing the existing code, identifying the root cause of the TypeError, and implementing a more robust and efficient compaction logic.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2151, Requested 10722. Please try again in 4.364999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10722, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 57.320186348s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "57s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260317-084547
Timestamp: 2026-03-17 08:45:55 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Optimize Token Counting Logic
Rationale
The current implementation of token counting logic is inefficient and complex, which can lead to performance bottlenecks and make the code harder to understand and maintain. Refactoring this logic can significantly improve the code’s readability, maintainability, and performance.
Approach
Extract the token counting logic into a separate function, and use a more efficient algorithm to count tokens. Consider using a dictionary to store the token counts instead of recalculating them every time.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2236, Requested 10692. Please try again in 4.64s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10692, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 5.175877254s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "5s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260317-051949
Timestamp: 2026-03-17 05:19:58 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Simplify Token to Word Ratio Calculation
Rationale
The TOKEN_TO_WORD_RATIO constant is used in various calculations, but its value is currently hardcoded. Refactoring this to make it more flexible and calculable based on actual data will improve the code’s maintainability and precision.
Approach
Extract the calculation of TOKEN_TO_WORD_RATIO into a separate function that can be easily tested and updated. Consider using existing English text and code samples to derive a more accurate ratio.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2212, Requested 10681. Please try again in 4.465s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10681, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 1.751284649s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "1s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260317-014536
Timestamp: 2026-03-17 01:45:45 UTC
Status: FAILURE
Priority: HIGH
Category: architecture
Title: Extract Configuration into Separate Module
Rationale
The current implementation has configuration constants and setup code intertwined with the rest of the logic, making it harder to understand and modify. Extracting configuration into its own module will improve maintainability and readability.
Approach
Create a new module named config.py and move configuration constants and setup code from entwickler.py into it. Update imports and references in entwickler.py to use the new module.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2203, Requested 10687. Please try again in 4.45s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10687, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 15.308643715s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "15s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260316-203335
Timestamp: 2026-03-16 20:33:45 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Improve Code Readability in entwickler.py
Rationale
The codebase is growing, and improving readability will make it easier to maintain and extend. The current code has some long functions and complex conditionals that can be simplified.
Approach
Refactor the load_dotenv and logging.basicConfig sections to reduce duplication and improve naming. Extract magic numbers into named constants. Consider using a separate function for setting up the logger.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2028, Requested 10668. Please try again in 3.48s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10668, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 14.751570951s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "14s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260316-165737
Timestamp: 2026-03-16 16:57:47 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Improve Code Readability by Refactoring Long Functions
Rationale
Several functions in entwickler.py are lengthy and complex, making them difficult to understand and maintain. Refactoring these functions will improve code readability and reduce the likelihood of bugs.
Approach
Break down long functions into smaller, more manageable pieces, and extract duplicated logic into separate functions. Improve function and variable naming for better clarity.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2251, Requested 10659. Please try again in 4.55s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10659, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 13.276977628s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "13s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260316-125950
Timestamp: 2026-03-16 12:59:58 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Improve Type Hints in entwickler.py
Rationale
The current codebase lacks consistent type hints, which hinders code readability and maintainability. Improving type hints will make the code easier to understand and reduce potential bugs.
Approach
Add type hints for function parameters and return types, and simplify complex type annotations where possible.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2147, Requested 10657. Please try again in 4.02s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10657, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 2.248009974s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "2s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260316-085131
Timestamp: 2026-03-16 08:51:43 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor logging configuration for better readability
Rationale
The current logging configuration is embedded within the script and could be improved for better readability and maintainability. Refactoring this section will make the codebase more organized and easier to understand.
Approach
Extract the logging configuration into a separate function or module to improve code organization and readability. Utilize type hints for function parameters and consider adding a docstring to describe the purpose of the logging configuration.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2225, Requested 10672. Please try again in 4.484999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10672, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 17.087562981s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "17s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260316-054711
Timestamp: 2026-03-16 05:47:19 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Improve Code Readability and Maintainability
Rationale
The current codebase has complex functions and duplicated logic, making it hard to understand and maintain. Refactoring the code will improve its readability, reduce bugs, and make it easier to add new features.
Approach
Break down long functions into smaller, more focused ones, and remove duplicated logic by extracting it into separate functions. Improve naming and add type hints to make the code more self-explanatory.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 17601, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 17601, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 41.156318771s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
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"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "41s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260316-015758
Timestamp: 2026-03-16 01:58:07 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Refactor entwickler.py to Improve Readability
Rationale
The entwickler.py file has a large number of imports and setup sections that can be refactored for better readability and maintainability. This improvement will make it easier for the agent to understand and modify its own codebase.
Approach
Extract the setup and tuning constants into separate functions or classes to reduce clutter in the main file. Use type hints and docstrings to improve code documentation.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2203, Requested 10683. Please try again in 4.43s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10683, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 53.412936509s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "53s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260315-202322
Timestamp: 2026-03-15 20:23:30 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Improve Code Readability in entwickler.py
Rationale
The entwickler.py file is complex and hard to understand, with many magic numbers and duplicated logic. Simplifying and improving its readability will make it easier to maintain and extend in the future.
Approach
Refactor the entwickler.py file to separate concerns, remove duplicated logic, and use more descriptive variable names. Specifically, extract functions for setup, logging, and journaling, and use type hints and docstrings to improve code clarity.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2211, Requested 10697. Please try again in 4.539999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10697, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 29.916483938s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "29s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260315-162635
Timestamp: 2026-03-15 16:26:42 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Refactor apply_unified_diff Function
Rationale
The apply_unified_diff function is complex and has multiple responsibilities. Simplifying and refactoring it will make the code more maintainable and easier to understand. This is the most important thing to fix right now because it affects the overall performance and reliability of the agent.
Approach
Break down the apply_unified_diff function into smaller, more focused functions. Each function should have a single responsibility, such as parsing the diff, applying the changes, and handling errors. Use descriptive variable names and add type hints to improve readability.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2279, Requested 10715. Please try again in 4.97s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10715, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 17.790721231s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "17s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260315-124036
Timestamp: 2026-03-15 12:40:43 UTC
Status: FAILURE
Priority: MEDIUM
Category: bug
Title: Fix TypeError in journal_entry function
Rationale
The recent journal entry shows a failed test due to a TypeError in the journal_entry function. This indicates a bug that needs to be fixed to ensure the journaling mechanism works correctly.
Approach
Update the journal_entry function to accept the ‘journal_file’ keyword argument. This can be achieved by adding the ‘journal_file’ parameter to the function definition.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2252, Requested 10664. Please try again in 4.58s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10664, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 16.595475011s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "16s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260315-052629
Timestamp: 2026-03-15 05:26:37 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify Token-To-Word Ratio Calculation
Rationale
The current TOKEN_TO_WORD_RATIO constant is used throughout the codebase but its calculation logic is embedded in a complex comment. Simplifying this constant and potentially turning it into a configurable variable will improve code readability and maintainability.
Approach
Extract the comment explaining the token-to-word ratio into a separate function that calculates this ratio. Consider making this function configurable or turning the ratio into a variable that can be adjusted based on the specific use case.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2207, Requested 10688. Please try again in 4.475s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10688, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 22.68274327s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "22s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260315-015618
Timestamp: 2026-03-15 01:56:27 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Improve Code Readability and Maintainability
Rationale
The codebase is growing, and to ensure continued self-improvement, it’s crucial to refactor it for better readability and maintainability. This will make it easier to identify areas for improvement and reduce the likelihood of introducing bugs.
Approach
Refactor the entwickler.py file to improve function naming, reduce duplicated logic, and enhance code organization. Specifically, focus on the Tuning constants section and consider creating a separate constants file for better modularity.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2197, Requested 10684. Please try again in 4.405s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10684, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 33.314369316s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "33s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260314-202220
Timestamp: 2026-03-14 20:22:27 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor entwickler.py for clarity and maintainability
Rationale
The current entwickler.py file is dense and hard to read. Refactoring it will make it easier to understand and modify in the future, reducing the risk of introducing bugs and improving the overall quality of the codebase.
Approach
Extract functions, simplify complex conditionals, and add type hints where necessary. Focus on the ‘Tuning constants’ and ‘Setup’ sections first, as they are the most critical and frequently modified parts of the code.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2209, Requested 10694. Please try again in 4.515s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10694, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 32.662846817s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "32s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260314-162528
Timestamp: 2026-03-14 16:25:36 UTC
Status: FAILURE
Priority: HIGH
Category: bug
Title: Fix journal_entry function to handle keyword arguments correctly
Rationale
The recent test failure indicates a bug in the journal_entry function that needs to be fixed to ensure correct journaling of evolution attempts
Approach
Update the journal_entry function to correctly handle keyword arguments, specifically the ‘journal_file’ argument
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2222, Requested 10646. Please try again in 4.34s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10646, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 23.552325929s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "23s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260314-123951
Timestamp: 2026-03-14 12:39:58 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor entwickler.py for improved readability and maintainability
Rationale
The entwickler.py file has grown complex and is in need of refactoring to improve readability and maintainability. This will make it easier to understand and modify the code in future evolution cycles.
Approach
Apply the single responsibility principle and separate concerns into distinct functions or modules. Improve naming conventions and add type hints where necessary.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2224, Requested 10669. Please try again in 4.465s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10669, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 1.734979824s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "1s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260314-082947
Timestamp: 2026-03-14 08:29:55 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Simplify Journal Compaction Logic
Rationale
The existing journal compaction logic is complex and caused a test failure in the past. Simplifying it will make the code more maintainable and reduce the risk of similar failures.
Approach
Refactor the journal compaction function to use a more straightforward approach, such as using a queue or a list to keep track of journal entries and removing the oldest entries when the journal reaches its maximum length.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2233, Requested 10668. Please try again in 4.505s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10668, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 5.263500072s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "5s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260314-050815
Timestamp: 2026-03-14 05:08:23 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Refactor Logging Setup
Rationale
The logging setup in entwickler.py is somewhat complex and repetitive. Refactoring it to be more modular and easier to maintain will improve the overall code quality and make it easier to add new logging features in the future.
Approach
Extract the logging setup into a separate function, reducing repetition and improving readability. Additionally, consider using a logging configuration file to make it easier to change logging settings without modifying the code.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2228, Requested 10693. Please try again in 4.605s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10693, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 36.939796556s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "36s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260314-012953
Timestamp: 2026-03-14 01:30:01 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify setup and initialization code
Rationale
The current setup and initialization code in entwickler.py is complex and dense, making it difficult to understand and maintain. Refactoring this code will improve readability and reduce the likelihood of bugs.
Approach
Extract setup and initialization into separate functions, each with a clear and focused responsibility. Use type hints and docstrings to improve code clarity.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2185, Requested 10670. Please try again in 4.274999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10670, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 58.83836584s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "58s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260313-202918
Timestamp: 2026-03-13 20:29:26 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify Token-to-Word Ratio Calculation
Rationale
The current implementation of the token-to-word ratio is a simple constant. However, this value can be refined for better accuracy, and the calculation can be made more dynamic and transparent. Refactoring this part of the code can enhance readability and maintainability.
Approach
Replace the constant TOKEN_TO_WORD_RATIO with a calculated value based on actual data from the source code. This involves analyzing the source code to determine the average number of tokens per word and using this average as the new ratio. Additionally, refactor the surrounding code to improve readability and make it easier to understand the purpose of the token-to-word ratio.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2225, Requested 10735. Please try again in 4.8s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10735, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 33.976929627s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "33s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260313-163451
Timestamp: 2026-03-13 16:35:00 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Refactor logging setup for improved readability and maintainability
Rationale
The current logging setup is dense and hard to read, making it difficult to understand and maintain. Refactoring this will improve code quality and make future changes easier.
Approach
Extract logging setup into a separate function, using type hints and clear variable names. Consider using a logging configuration file for better customizability.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 1934, Requested 10668. Please try again in 3.01s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10668, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 337.094639ms.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "0s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260313-124552
Timestamp: 2026-03-13 12:46:00 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Optimize Journal Compaction Logic
Rationale
The current journal compaction logic is causing test failures due to unexpected keyword arguments, indicating a need for refactoring to improve code clarity and robustness
Approach
Refactor the journal compaction function to remove unnecessary keyword arguments and simplify the logic for handling journal entries, ensuring that it aligns with the existing test suite and does not introduce new regressions
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 17598, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 17598, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 256.373609ms.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "0s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260313-083447
Timestamp: 2026-03-13 08:34:55 UTC
Status: FAILURE
Priority: HIGH
Category: bug
Title: Fix TypeError in journal_entry() function
Rationale
The current implementation of journal_entry() is causing a TypeError due to an unexpected keyword argument ‘journal_file’. This is a high-priority issue as it is causing test failures and preventing the agent from evolving correctly.
Approach
Update the journal_entry() function to remove or handle the ‘journal_file’ keyword argument correctly.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 17577, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 17577, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 4.95990051s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "4s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260313-051119
Timestamp: 2026-03-13 05:11:27 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor desenvkler.py for better readability and maintainability
Rationale
The desenvkler.py script is the core of the self-evolving agent and requires a high level of readability and maintainability to ensure future improvements can be made efficiently. Current code has many magic numbers and could benefit from function extraction and variable renaming for clarity.
Approach
Extract magic numbers into named constants, identify and extract functions for repeated logic, and rename ambiguous variable names to improve readability.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2211, Requested 10677. Please try again in 4.439999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10677, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 32.811488594s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "32s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260313-014333
Timestamp: 2026-03-13 01:43:41 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor entwickler.py for Improved Readability and Maintainability
Rationale
The current source code of entwickler.py is lengthy and complex, making it difficult to read and maintain. Refactoring it will improve its structure, reduce complexity, and make it easier for future evolution cycles to target specific areas for improvement.
Approach
Break down the développler.py file into smaller, more manageable sections or modules. Identify and extract functions that can be separated into their own files, such as utility functions or classes that can be reused across the project.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2206, Requested 10705. Please try again in 4.555s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10705, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 18.639005427s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "18s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260312-202916
Timestamp: 2026-03-12 20:29:25 UTC
Status: FAILURE
Priority: HIGH
Category: bug
Title: Fix journal_entry Keyword Argument Error
Rationale
The recent journal entry shows a failed test due to a keyword argument error in the journal_entry function. This bug needs to be fixed to ensure the journaling system works correctly.
Approach
Remove or modify the ‘journal_file’ keyword argument in the journal_entry function to match the expected function signature.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 17577, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 17577, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 35.449399805s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "35s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260312-165526
Timestamp: 2026-03-12 16:55:34 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Logging Setup for Better Readability
Rationale
The logging setup in entwickler.py is complex and hard to read. Simplifying this will improve maintainability and make it easier to add new logging features in the future.
Approach
Extract the logging configuration into a separate function or module, and simplify the logging setup in entwickler.py. Consider using a logging configuration file or a dictionary to configure logging.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2195, Requested 10661. Please try again in 4.28s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10661, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 25.849730133s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "25s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260312-124758
Timestamp: 2026-03-12 12:48:05 UTC
Status: FAILURE
Priority: HIGH
Category: bug
Title: Fix test_journal_compaction Test Failure
Rationale
The test_journal_compaction test is currently failing with a TypeError, and fixing this bug will ensure that journal compaction works correctly and improve the overall reliability of the Entwickler agent.
Approach
Modify the journal_entry function to remove the ‘journal_file’ keyword argument, which is not expected by the function, and update the test_journal_compaction test to pass the required arguments correctly.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 17599, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 17599, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 54.412481824s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "54s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260312-083711
Timestamp: 2026-03-12 08:37:19 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Improve Error Handling in entwickler.py
Rationale
Current error handling in entwickler.py is minimal and does not provide detailed information about errors. Improving error handling will make it easier to diagnose and fix issues.
Approach
Add try-except blocks to critical sections of the code and log error messages with relevant details. Utilize the logging module to provide a standardized format for error messages.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2213, Requested 10655. Please try again in 4.34s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10655, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 40.789699123s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "40s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260312-051412
Timestamp: 2026-03-12 05:14:20 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Standardize Logging Configuration
Rationale
The current logging configuration is scattered and could be improved for better readability and maintainability. Simplifying it will make future changes easier and reduce the chance of logging-related issues.
Approach
Extract logging configuration into a separate function or class, ensuring all logs are formatted consistently and that the logging level is configurable. Utilize Python’s built-in logging module features to handle different log levels and output targets.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2216, Requested 10689. Please try again in 4.525s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10689, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 40.262631871s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "40s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260312-012808
Timestamp: 2026-03-12 01:28:16 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Clarify the Journal Compaction Logic
Rationale
The current journal compaction logic is complex and has led to test failures due to unexpected keyword arguments. Simplifying this logic will improve code readability and reduce the likelihood of similar failures in the future.
Approach
Refactor the journal compaction function to use clear and concise variable names, and remove unnecessary complexity. Specifically, focus on the journal_entry function call that is currently failing due to an unexpected keyword argument.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 17613, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 17613, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 44.459703275s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "44s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260311-202923
Timestamp: 2026-03-11 20:29:31 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor Logging Configuration
Rationale
The logging configuration is complex and hard to understand. Refactoring it will improve code readability and maintainability.
Approach
Extract the logging configuration into a separate function or class to make it more modular and reusable.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2201, Requested 10629. Please try again in 4.15s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10629, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 29.339196039s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "29s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260311-164515
Timestamp: 2026-03-11 16:45:23 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Simplify Logging Configuration
Rationale
The current logging configuration is somewhat complex and could be simplified for better readability and maintainability. This change aligns with the ‘refactor’ skill suggested by the system and avoids recently attempted categories.
Approach
Refactor the logging configuration to reduce redundancy and improve readability. Specifically, consider extracting logging format and level configuration into separate constants for easier modification and reuse.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2168, Requested 10685. Please try again in 4.264999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10685, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 36.805835111s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "36s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260311-124854
Timestamp: 2026-03-11 12:49:02 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Refactor Logging Configuration
Rationale
The current logging configuration is not properly separated from the rest of the code and uses a mix of logging and print statements. Refactoring this will improve code readability and maintainability.
Approach
Extract the logging configuration into a separate function or class and use a consistent logging approach throughout the codebase.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2218, Requested 10647. Please try again in 4.325s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10647, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 58.082636391s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "58s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260311-083505
Timestamp: 2026-03-11 08:35:13 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Improve Code Readability in entwickler.py
Rationale
The current implementation of entwickler.py is dense and complex, making it difficult to understand and maintain. Refactoring the code to improve readability and simplify its structure will make it easier to evolve and maintain in the future.
Approach
Extract functions to reduce complexity, improve variable naming, and add type hints where necessary. Focus on the ‘Tuning constants’ section and the ‘Setup’ section to simplify and clarify the code.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2230, Requested 10699. Please try again in 4.645s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10699, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 47.099549135s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "47s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260311-050900
Timestamp: 2026-03-11 05:09:08 UTC
Status: FAILURE
Priority: MEDIUM
Category: refactor
Title: Simplify and type-hint the logging configuration
Rationale
The current logging setup is complex and lacks type hints, making it hard to understand and maintain. Refactoring it will improve code readability and prevent potential type-related issues.
Approach
Extract the logging configuration into a separate function with clear type hints for its parameters and return types. Use a consistent naming convention and consider using a logging configuration library if necessary.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2191, Requested 10662. Please try again in 4.264999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10662, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.BadRequestError: GeminiException BadRequestError - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 51.909053403s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "51s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260311-012822
Timestamp: 2026-03-11 01:28:30 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor the entwickler.py File to Improve Readability
Rationale
The entwickler.py file has grown and needs refactoring to improve readability and maintainability. This will make it easier to understand and extend the codebase.
Approach
Extract separate functions for setup, constants, and GitHub API interactions. Use clear and descriptive variable names and add type hints where necessary.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2199, Requested 10657. Please try again in 4.28s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10657, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 30.285231295s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "30s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260310-202830
Timestamp: 2026-03-10 20:28:38 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Standardize Logging Configuration
Rationale
The current logging setup is repetitive and could be more efficient. Standardizing the logging configuration across the codebase will improve readability and maintainability.
Approach
Extract logging configuration into a separate module or function, and use it consistently throughout the codebase. Remove redundant logging setup code and ensure all log messages are properly formatted.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Requested 17595, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 17595, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 21.67874972s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "21s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260310-165312
Timestamp: 2026-03-10 16:53:20 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor entwickler.py for improved readability and maintainability
Rationale
The entwickler.py file is the core of the project and has become complex and difficult to read. Refactoring it will improve its structure, make it easier to understand, and reduce the likelihood of bugs.
Approach
Extract functions with single responsibilities, simplify conditional statements, and improve variable naming
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2176, Requested 10653. Please try again in 4.144999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10653, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 39.733833448s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "39s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260310-125049
Timestamp: 2026-03-10 12:50:57 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify Logging Configuration
Rationale
The logging configuration is complex and can be simplified to improve readability and maintainability. This refactor will make the codebase more understandable and easier to work with.
Approach
Extract logging configuration into a separate function or module to reduce duplication and improve organization. Use type hints and docstrings to improve code clarity.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2206, Requested 10650. Please try again in 4.28s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10650, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 3.299601282s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "3s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260310-083524
Timestamp: 2026-03-10 08:35:32 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor entwickler.py to Reduce Duplicate Code
Rationale
The entwickler.py file has duplicated logic in several places, which can be simplified and made more maintainable. By refactoring, we can improve code readability and reduce the risk of bugs.
Approach
Extract duplicated code into separate functions with clear names and type hints. Apply consistent naming conventions and formatting throughout the file.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2241, Requested 10665. Please try again in 4.53s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10665, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 27.979592548s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "27s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260310-050731
Timestamp: 2026-03-10 05:07:38 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor entwickler.py for Improved Readability
Rationale
The entwickler.py file has a large number of imported libraries and constants, which can make it difficult to understand and maintain. Refactoring this code will improve readability and reduce the likelihood of errors.
Approach
Extract the tuning constants into a separate constants.py file and refactor the imports to use a more consistent and organized structure
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2221, Requested 10664. Please try again in 4.425s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10664, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 21.506089722s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "21s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260309-202841
Timestamp: 2026-03-09 20:28:49 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify logging configuration
Rationale
The current logging configuration is verbose and scattered throughout the codebase. Refactoring it will improve readability and maintainability.
Approach
Extract logging configuration into a separate function or module, and use a consistent naming convention for logging variables.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2212, Requested 10624. Please try again in 4.179999999s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10624, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 11.468659813s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "11s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260309-165337
Timestamp: 2026-03-09 16:53:46 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify and Standardize Logging Configuration
Rationale
The current logging setup is somewhat complex and not fully standardized. Simplifying it will improve readability and maintainability of the codebase.
Approach
Extract logging configuration into a separate function or module to make it more modular and easier to manage. Ensure all logging calls use a consistent format and level.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2211, Requested 10650. Please try again in 4.305s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10650, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 14.511198993s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "14s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260309-125236
Timestamp: 2026-03-09 12:52:44 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Refactor logging setup for clarity and flexibility
Rationale
The current logging setup is basic but can be improved for better readability and flexibility. Refactoring this will make the codebase more maintainable and easier to understand.
Approach
Extract the logging configuration into a separate function or module, allowing for easier modification and extension of logging behavior without cluttering the main codebase.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2174, Requested 10659. Please try again in 4.165s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10659, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 15.532637639s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"model": "gemini-2.0-flash",
"location": "global"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "15s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260309-083840
Timestamp: 2026-03-09 08:38:47 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify Logging Configuration
Rationale
The current logging setup is verbose and duplicated in several places. Simplifying it will improve code readability and maintainability.
Approach
Extract logging configuration into a separate function or class, reducing code duplication and improving flexibility for future changes.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2210, Requested 10629. Please try again in 4.195s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10629, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\nPlease retry in 12.597816486s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "12s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260309-051750
Timestamp: 2026-03-09 05:17:57 UTC
Status: FAILURE
Priority: HIGH
Category: refactor
Title: Simplify Token-to-Word Ratio Calculation
Rationale
The current implementation of TOKEN_TO_WORD_RATIO is a magic number and could be refactored for better readability and maintainability. This improvement aligns with the governing principle of ‘Precision Over Speed’ and does not fall into the recently attempted categories.
Approach
Replace the hardcoded TOKEN_TO_WORD_RATIO with a calculated or configurable value, considering the average word length in typical English text and code. Introduce a comment explaining the rationale behind the chosen value.
Error
Traceback (most recent call last):
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 989, in evolution_cycle
patches = generate_patch(assessment, context["sources"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 578, in generate_patch
response = call_llm(prompt, system=PATCH_SYSTEM, max_tokens=6144)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/work/Entwickler/Entwickler/entwickler.py", line 232, in call_llm
raise RuntimeError("All LLM providers failed:\n" + "\n".join(last_errors))
RuntimeError: All LLM providers failed:
groq-llama3: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Rate limit reached for model `llama-3.3-70b-versatile` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 12000, Used 2256, Requested 10679. Please try again in 4.675s. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
groq-llama3-fast: litellm.RateLimitError: RateLimitError: GroqException - {"error":{"message":"Request too large for model `llama-3.1-8b-instant` in organization `org_01kk5qhrp0etgt9syan2cg63zd` service tier `on_demand` on tokens per minute (TPM): Limit 6000, Requested 10679, please reduce your message size and try again. Need more tokens? Upgrade to Dev Tier today at https://console.groq.com/settings/billing","type":"tokens","code":"rate_limit_exceeded"}}
gemini-flash: litellm.RateLimitError: litellm.RateLimitError: geminiException - {
"error": {
"code": 429,
"message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. \n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_input_token_count, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\n* Quota exceeded for metric: generativelanguage.googleapis.com/generate_content_free_tier_requests, limit: 0, model: gemini-2.0-flash\nPlease retry in 2.631173543s.",
"status": "RESOURCE_EXHAUSTED",
"details": [
{
"@type": "type.googleapis.com/google.rpc.Help",
"links": [
{
"description": "Learn more about Gemini API quotas",
"url": "https://ai.google.dev/gemini-api/docs/rate-limits"
}
]
},
{
"@type": "type.googleapis.com/google.rpc.QuotaFailure",
"violations": [
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_input_token_count",
"quotaId": "GenerateContentInputTokensPerModelPerMinute-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerMinutePerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
},
{
"quotaMetric": "generativelanguage.googleapis.com/generate_content_free_tier_requests",
"quotaId": "GenerateRequestsPerDayPerProjectPerModel-FreeTier",
"quotaDimensions": {
"location": "global",
"model": "gemini-2.0-flash"
}
}
]
},
{
"@type": "type.googleapis.com/google.rpc.RetryInfo",
"retryDelay": "2s"
}
]
}
}
github-models: litellm.APIError: APIError: GithubException - Request body too large for gpt-4o-mini model. Max size: 8000 tokens.
Evolution Attempt [FAILURE] — 20260309-032151
Timestamp: 2026-03-09 03:21:58 UTC
Status: FAILURE
Priority: HIGH
Category: test
Title: Add Test for Journal Compaction Logic
Rationale
The journal compaction logic is critical for maintaining a readable and manageable journal file, but there is currently no test in place to ensure it is working correctly. Adding a test for this logic will help prevent regressions and ensure the journal remains compact and useful.
Approach
Add a new test function to test_entwickler.py that checks the journal compaction logic. The test should create a journal file with entries exceeding the JOURNAL_MAX_LENGTH, then verify that the compaction logic correctly truncates the journal to JOURNAL_KEEP_LENGTH entries.
Patch Summary
test_entwickler.py: 1511 chars
Tests [FAIL]
============================= test session starts ==============================
collecting ... collected 1 item
test_entwickler.py::test_journal_compaction FAILED [100%]
=================================== FAILURES ===================================
___________________________ test_journal_compaction ____________________________
test_entwickler.py:32: in test_journal_compaction
journal_entry(
E TypeError: journal_entry() got an unexpected keyword argument 'journal_file'
=========================== short test summary info ============================
FAILED test_entwickler.py::test_journal_compaction - TypeError: journal_entry() got an unexpected keyword argument 'journal_file'
============================== 1 failed in 0.11s ===============================
Lint [PASS]
All checks passed!
Secrets [PASS]
No hardcoded secrets detected
Error
tests: FAIL
============================= test session starts ==============================
collecting ... collected 1 item
test_entwickler.py::test_journal_compaction FAILED [100%]
=================================== FAILURES ===================================
___________________________ test_journal_compaction ____________________________
test_entwickler.py:32: in test_journal_compaction
journal_entry(
E TypeError: journal_entry() got an unexpected keyword argument 'journal
lint: PASS
All checks passed!
secrets: PASS
No hardcoded secrets detected
Note: Previous journal entries were cleaned up. Past evolution cycles mostly failed because the LLM kept trying to modify API key / environment variable handling instead of improving actual code. The prompts have been updated with stronger guardrails. API key configuration is RESOLVED and must NOT be modified by evolution cycles.
Evolution Attempt [SUCCESS] — 20260308-083256
Timestamp: 2026-03-08 08:33:32 UTC
Status: SUCCESS
Priority: CRITICAL
Category: security
Title: Provide Missing LLM API Key Environment Variable
Summary
Successfully configured LLM API key handling. This topic is now RESOLVED.
Evolution Attempt [SUCCESS] — 20260308-040117
Timestamp: 2026-03-08 04:01:21 UTC
Status: SUCCESS
Priority: CRITICAL
Category: security
Title: Add LLM API Key Environment Variable
Summary
Successfully added LLM API key environment variable support. This topic is now RESOLVED.