Feat: Add llm observability to python sdk #158
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k11kirky
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Twixes
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Jan 10, 2025
k11kirky
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skoob13
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Jan 10, 2025
| "$ai_model_parameters": get_model_params(kwargs), | ||
| "$ai_input": kwargs.get("messages"), | ||
| "$ai_output": { | ||
| "choices": [ |
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Do we want to send an object here instead of the array with choices directly? We've already flattened the structure with additional fields like input/output tokens, so this might be the output itself.
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Although for most use cases "choices" only has one option, the user can ask the llm for mulitple im which case the choices array represents n options for a response. If we remove the object and just return the array it would look more like the messages array representing a history.
Twixes
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Jan 10, 2025
| posthog_properties: Optional[Dict[str, Any]] = None, | ||
| **kwargs: Any, | ||
| ): | ||
| distinct_id = posthog_distinct_id or uuid.uuid4() |
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we use 4 in the rest of the repo, so trying to keep it consistant
timgl
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Jan 11, 2025
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Initial PR for LLM Observability
example data can be created by exporting the following env vars
python3 llm_observability_examples