forked from phoenix/litellm-mirror
fix(proxy_server.py): restrict proxy to just listed models
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5d59fa166c
commit
8f989235ea
1 changed files with 18 additions and 3 deletions
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@ -2372,8 +2372,13 @@ async def chat_completion(
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llm_router is not None and data["model"] in llm_router.deployment_names
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): # model in router deployments, calling a specific deployment on the router
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response = await llm_router.acompletion(**data, specific_deployment=True)
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else: # router is not set
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elif user_model is not None: # `litellm --model <your-model-name>`
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response = await litellm.acompletion(**data)
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else:
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raise HTTPException(
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status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
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detail={"message": "Invalid model name passed in"},
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)
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# Post Call Processing
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data["litellm_status"] = "success" # used for alerting
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@ -2584,8 +2589,13 @@ async def embeddings(
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llm_router is not None and data["model"] in llm_router.deployment_names
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): # model in router deployments, calling a specific deployment on the router
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response = await llm_router.aembedding(**data, specific_deployment=True)
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else:
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elif user_model is not None: # `litellm --model <your-model-name>`
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response = await litellm.aembedding(**data)
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else:
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raise HTTPException(
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status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
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detail={"message": "Invalid model name passed in"},
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)
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### ALERTING ###
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data["litellm_status"] = "success" # used for alerting
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@ -2719,8 +2729,13 @@ async def image_generation(
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response = await llm_router.aimage_generation(
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**data
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) # ensure this goes the llm_router, router will do the correct alias mapping
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else:
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elif user_model is not None: # `litellm --model <your-model-name>`
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response = await litellm.aimage_generation(**data)
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else:
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raise HTTPException(
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status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
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detail={"message": "Invalid model name passed in"},
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)
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### ALERTING ###
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data["litellm_status"] = "success" # used for alerting
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