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fix: flatten core model params #168

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Extract core values from model params.

  • temperature
  • stream
  • max_completion_tokens

@k11kirky k11kirky requested a review from skoob13 January 17, 2025 23:31
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This looks good, but we'll have to duplicate the effort in other SDKs (TypeScript), so proposing inlining into the plugin server too!

@@ -29,6 +29,35 @@ def get_model_params(kwargs: Dict[str, Any]) -> Dict[str, Any]:
return model_params


def extract_core_model_params(kwargs: Dict[str, Any], provider: str) -> Dict[str, Any]:
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Let's do this in the plugin server, so that we only have to update one place to cover all SDKs!

Extracts core model parameters from the kwargs dictionary.
"""
output = {}
if provider == "anthropic":
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To track AI cost processing's case-insensitive behavior:

Suggested change
if provider == "anthropic":
if provider:
provider = provider.lower()
if provider == "anthropic":

Comment on lines +47 to +48
if "max_completion_tokens" in kwargs:
output["$ai_max_tokens"] = kwargs.get("max_completion_tokens")
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Might also be clearest to standardize on max_completion_tokens (though hard to say if other providers releasing reasoning models will follow this naming)

@k11kirky k11kirky closed this Jan 20, 2025
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2 participants