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feat(custom_llm.py): initial working commit for writing your own custom LLM handler

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Fixes https://github.com/BerriAI/litellm/issues/4675

 Also Addresses https://github.com/BerriAI/litellm/discussions/4677
This commit is contained in:
Krrish Dholakia 2024-07-25 15:33:05 -07:00
parent 711496e260
commit 6bf1b9353b
6 changed files with 183 additions and 0 deletions
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15
litellm/main.py
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@ -107,6 +107,7 @@ from .llms.anthropic_text import AnthropicTextCompletion
from .llms.azure import AzureChatCompletion
from .llms.azure_text import AzureTextCompletion
from .llms.bedrock_httpx import BedrockConverseLLM, BedrockLLM
from .llms.custom_llm import CustomLLM, custom_chat_llm_router
from .llms.databricks import DatabricksChatCompletion
from .llms.huggingface_restapi import Huggingface
from .llms.openai import OpenAIChatCompletion, OpenAITextCompletion
@ -2690,6 +2691,20 @@ def completion(
model_response.created = int(time.time())
model_response.model = model
response = model_response
elif (
custom_llm_provider in litellm._custom_providers
): # Assume custom LLM provider
# Get the Custom Handler
custom_handler: Optional[CustomLLM] = None
for item in litellm.custom_provider_map:
if item["provider"] == custom_llm_provider:
custom_handler = item["custom_handler"]
if custom_handler is None:
raise ValueError(
f"Unable to map your input to a model. Check your input - {args}"
)
response = custom_handler.completion()
else:
raise ValueError(
f"Unable to map your input to a model. Check your input - {args}"