Always use safe access patterns to prevent runtime errors when dealing with potentially null or undefined values. Instead of direct access that can raise KeyError or IndexError, use defensive programming techniques.

For dictionary access, prefer dict.get(key) or check key in dict before accessing:

# Bad - raises KeyError if key missing
if not os.environ["LITELLM_PROVIDER_MODEL_NAME"]:
    
# Good - safe access patterns  
if "LITELLM_PROVIDER_MODEL_NAME" not in os.environ:
# or
if not os.environ.get("LITELLM_PROVIDER_MODEL_NAME"):

For collections, validate bounds before indexing:

# Bad - IndexError if empty
generation = event_generation_result.generations[0]

# Good - check bounds first
if not event_generation_result.generations:
    raise ValueError("No generations available")
generation = event_generation_result.generations[0]

Use null coalescing for function parameters:

# Ensure non-null defaults
arguments = tc.arguments or {}
hints = hints or {}  # instead of Optional[dict] = None

This prevents common runtime exceptions and makes code more robust when handling optional or potentially missing data.

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