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Configuration parameter validation

bytedance/deer-flow
Based on 3 comments
Python

Always validate configuration parameters for type, range, and reasonable values before use. Provide safe defaults for optional settings and prefer explicit parameter passing over runtime environment variable modification.

Configurations Python

Reviewer Prompt

Always validate configuration parameters for type, range, and reasonable values before use. Provide safe defaults for optional settings and prefer explicit parameter passing over runtime environment variable modification.

Key practices:

  • Set conservative defaults for feature flags (disabled by default)
  • Validate numeric configuration values are within acceptable ranges
  • Use proper logging to report configuration values being applied
  • Pass configuration as explicit parameters rather than modifying os.environ at runtime

Example:

# Good: Validate and use safe defaults
recursion_limit = int(os.getenv("AGENT_RECURSION_LIMIT", "25"))
if recursion_limit <= 0:
    raise ValueError("Recursion limit must be greater than zero")
logger.info(f"Recursion limit is set: {recursion_limit}")

# Good: Pass as parameters instead of environment modification
return AzureChatOpenAI(
    api_version=llm_config.get("api_version"),
    api_key=llm_config.get("api_key"),
    azure_endpoint=llm_config.get("base_url")
)

# Avoid: Runtime environment modification
os.environ.update({"AZURE_OPENAI_API_KEY": api_key})  # Not recommended
3
Comments Analyzed
Python
Primary Language
Configurations
Category

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