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[Feat] Semantic Caching - Track Cost of using embedding, Use Langfuse Trace ID #1878

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merged 2 commits into from
Feb 8, 2024
Merged

[Feat] Semantic Caching - Track Cost of using embedding, Use Langfuse Trace ID #1878

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8425a8b
(fix) track cost for semantic_caching, place on langfuse trace
ishaan-jaff Feb 8, 2024
8197b3d
(fix) remove extra statement
ishaan-jaff Feb 8, 2024
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12 changes: 12 additions & 0 deletions litellm/caching.py
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Original file line number Diff line number Diff line change
Expand Up @@ -427,10 +427,16 @@ async def async_set_cache(self, key, value, **kwargs):
else []
)
if llm_router is not None and self.embedding_model in router_model_names:
user_api_key = kwargs.get("metadata", {}).get("user_api_key", "")
embedding_response = await llm_router.aembedding(
model=self.embedding_model,
input=prompt,
cache={"no-store": True, "no-cache": True},
metadata={
"user_api_key": user_api_key,
"semantic-cache-embedding": True,
"trace_id": kwargs.get("metadata", {}).get("trace_id", None),
},
)
else:
# convert to embedding
Expand Down Expand Up @@ -476,10 +482,16 @@ async def async_get_cache(self, key, **kwargs):
else []
)
if llm_router is not None and self.embedding_model in router_model_names:
user_api_key = kwargs.get("metadata", {}).get("user_api_key", "")
embedding_response = await llm_router.aembedding(
model=self.embedding_model,
input=prompt,
cache={"no-store": True, "no-cache": True},
metadata={
"user_api_key": user_api_key,
"semantic-cache-embedding": True,
"trace_id": kwargs.get("metadata", {}).get("trace_id", None),
},
)
else:
# convert to embedding
Expand Down
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