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Add LiteLLM - support for Vertex AI, Gemini, Anthropic, Bedrock (100+LLMs) #290

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@ishaan-jaff ishaan-jaff commented Jan 1, 2025

Add LiteLLM - support for Vertex AI, Gemini, Anthropic, Bedrock (100+LLMs)

What's changing

This PR adds support for the above mentioned LLMs using LiteLLM https://github.com/BerriAI/litellm/
LiteLLM is a lightweight package to simplify LLM API calls - use any llm as a drop in replacement for gpt-4o.

Example

from litellm import completion
import os

## set ENV variables
os.environ["OPENAI_API_KEY"] = "your-openai-key"
os.environ["ANTHROPIC_API_KEY"] = "your-cohere-key"

messages = [{ "content": "Hello, how are you?","role": "user"}]

# openai call
response = completion(model="openai/gpt-4o", messages=messages)

# anthropic call
response = completion(model="anthropic/claude-3-sonnet-20240229", messages=messages)
print(response)

Response (OpenAI Format)

{
    "id": "chatcmpl-565d891b-a42e-4c39-8d14-82a1f5208885",
    "created": 1734366691,
    "model": "claude-3-sonnet-20240229",
    "object": "chat.completion",
    "system_fingerprint": null,
    "choices": [
        {
            "finish_reason": "stop",
            "index": 0,
            "message": {
                "content": "Hello! As an AI language model, I don't have feelings, but I'm operating properly and ready to assist you with any questions or tasks you may have. How can I help you today?",
                "role": "assistant",
                "tool_calls": null,
                "function_call": null
            }
        }
    ],
    "usage": {
        "completion_tokens": 43,
        "prompt_tokens": 13,
        "total_tokens": 56,
        "completion_tokens_details": null,
        "prompt_tokens_details": {
            "audio_tokens": null,
            "cached_tokens": 0
        },
        "cache_creation_input_tokens": 0,
        "cache_read_input_tokens": 0
    }
}

@ishaan-jaff ishaan-jaff changed the title add litellm Add LiteLLM - support for Vertex AI, Gemini, Anthropic, Bedrock (100+LLMs) Jan 1, 2025
@kroggen
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kroggen commented Jan 8, 2025

This only adds support for these models on perplexity search!

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2 participants