{"info":{"author":"BerriAI","author_email":null,"bugtrack_url":null,"classifiers":[],"description":"<h1 align=\"center\">\n        🚅 LiteLLM\n    </h1>\n    <p align=\"center\">\n        <p align=\"center\">LiteLLM AI Gateway\n        </p>\n        <p align=\"center\">Open Source AI Gateway for 100+ LLMs. Self-hosted. Enterprise-ready. Call any LLM in OpenAI format.</p>\n        <p align=\"center\">\n        <a href=\"https://render.com/deploy?repo=https://github.com/BerriAI/litellm\" target=\"_blank\" rel=\"nofollow\"><img src=\"https://render.com/images/deploy-to-render-button.svg\" alt=\"Deploy to Render\" height=\"40\"></a>\n        <a href=\"https://railway.com/deploy/RhvhdC?referralCode=7mRv9K&utm_medium=integration&utm_source=template&utm_campaign=generic\"><img src=\"https://railway.com/button.svg\" alt=\"Deploy on Railway\" height=\"40\"></a>\n        <a href=\"https://console.aws.amazon.com/cloudshell/home\" target=\"_blank\" rel=\"nofollow\"><img src=\"./.github/deploy-on-aws.png\" alt=\"Deploy on AWS\" height=\"40\"></a>\n        <a href=\"https://ssh.cloud.google.com/cloudshell/editor?cloudshell_git_repo=https%3A%2F%2Fgithub.com%2FBerriAI%2Flitellm&cloudshell_workspace=terraform%2Flitellm%2Fgcp%2Fexamples%2Fdefault&cloudshell_tutorial=TUTORIAL.md&cloudshell_image=gcr.io/ds-artifacts-cloudshell/deploystack_custom_image&shellonly=true\" target=\"_blank\" rel=\"nofollow\"><img src=\"./.github/deploy-on-gcp.png\" alt=\"Deploy on GCP\" height=\"40\"></a>\n        </p>\n    </p>\n<h4 align=\"center\"><a href=\"https://docs.litellm.ai/docs/simple_proxy\" target=\"_blank\">LiteLLM Proxy Server (AI Gateway)</a> | <a href=\"https://docs.litellm.ai/docs/enterprise#hosted-litellm-proxy\" target=\"_blank\"> Hosted Proxy</a> | <a href=\"https://litellm.ai/enterprise\"target=\"_blank\">Enterprise Tier</a> | <a href=\"https://www.litellm.ai/ai-gateway\" target=\"_blank\">Website</a></h4>\n<h4 align=\"center\">\n    <a href=\"https://pypi.org/project/litellm/\" target=\"_blank\">\n        <img src=\"https://img.shields.io/pypi/v/litellm.svg\" alt=\"PyPI Version\">\n    </a>\n    <a href=\"https://github.com/BerriAI/litellm\" target=\"_blank\">\n        <img src=\"https://img.shields.io/github/stars/BerriAI/litellm.svg?style=social\" alt=\"GitHub Stars\">\n    </a>\n    <a href=\"https://www.ycombinator.com/companies/berriai\">\n        <img src=\"https://img.shields.io/badge/Y%20Combinator-W23-orange?style=flat-square\" alt=\"Y Combinator W23\">\n    </a>\n    <a href=\"https://wa.link/huol9n\">\n        <img src=\"https://img.shields.io/static/v1?label=Chat%20on&message=WhatsApp&color=success&logo=WhatsApp&style=flat-square\" alt=\"Whatsapp\">\n    </a>\n    <a href=\"https://discord.gg/wuPM9dRgDw\">\n        <img src=\"https://img.shields.io/static/v1?label=Chat%20on&message=Discord&color=blue&logo=Discord&style=flat-square\" alt=\"Discord\">\n    </a>\n    <a href=\"https://www.litellm.ai/support\">\n        <img src=\"https://img.shields.io/static/v1?label=Chat%20on&message=Slack&color=black&logo=Slack&style=flat-square\" alt=\"Slack\">\n    </a>\n    <a href=\"https://codspeed.io/BerriAI/litellm?utm_source=badge\">\n        <img src=\"https://img.shields.io/endpoint?url=https://codspeed.io/badge.json\" alt=\"CodSpeed\"/>\n    </a>\n</h4>\n\n<img alt=\"LiteLLM AI Gateway\" src=\"https://github.com/user-attachments/assets/c5ee0412-6fb5-4fb6-ab5b-bafae4209ca6\" />\n\n---\n\n## What is LiteLLM\n\nLiteLLM is an open source AI Gateway that gives you a single, unified interface to call 100+ LLM providers — OpenAI, Anthropic, Gemini, Bedrock, Azure, and more — using the OpenAI format.\n\nUse it as a **Python SDK** for direct library integration, or deploy the **AI Gateway (Proxy Server)** as a centralized service for your team or organization.\n\n[**Jump to LiteLLM Proxy (LLM Gateway) Docs**](https://docs.litellm.ai/docs/simple_proxy) <br>\n[**Jump to Supported LLM Providers**](https://docs.litellm.ai/docs/providers)\n\n---\n\n## Why LiteLLM\n\nManaging LLM calls across providers gets complicated fast — different SDKs, auth patterns, request formats, and error types for every model. LiteLLM removes that friction:\n\n- **Unified API** — one interface for 100+ LLMs, no provider-specific SDK juggling\n- **Drop-in OpenAI compatibility** — swap providers without rewriting your code\n- **Production-ready gateway** — virtual keys, spend tracking, guardrails, load balancing, and an admin dashboard out of the box\n- **8ms P95 latency** at 1k RPS ([benchmarks](https://docs.litellm.ai/docs/benchmarks))\n\n### OSS Adopters\n\n<table>\n  <tr>\n    <td><img height=\"60\" alt=\"Stripe\" src=\"https://github.com/user-attachments/assets/f7296d4f-9fbd-460d-9d05-e4df31697c4b\" /></td>\n    <td><img height=\"60\" alt=\"image\" src=\"https://github.com/user-attachments/assets/436fca71-988b-40bb-b5fe-8450c80fdbd0\" /></td>\n    <td><img height=\"60\" alt=\"Google ADK\" src=\"https://github.com/user-attachments/assets/caf270a2-5aee-45c4-8222-41a2070c4f19\" /></td>\n    <td><img height=\"60\" alt=\"Greptile\" src=\"https://github.com/user-attachments/assets/3db0ae72-0843-4005-a56d-bba1dde2193d\" /></td>\n    <td><img height=\"60\" alt=\"OpenHands\" src=\"https://github.com/user-attachments/assets/a6150c4c-149e-4cae-888b-8b92be6e003f\" /></td>\n    <td><h2>Netflix</h2></td>\n    <td><img height=\"60\" alt=\"OpenAI Agents SDK\" src=\"https://github.com/user-attachments/assets/c02f7be0-8c2e-4d27-aea7-7c024bfaebc0\" /></td>\n  </tr>\n</table>\n\n---\n\n## Features\n\n<details open>\n<summary><b>LLMs</b> - Call 100+ LLMs (Python SDK + AI Gateway)</summary>\n\n[**All Supported Endpoints**](https://docs.litellm.ai/docs/supported_endpoints) - `/chat/completions`, `/responses`, `/embeddings`, `/images`, `/audio`, `/batches`, `/rerank`, `/a2a`, `/messages` and more.\n\n### Python SDK\n\n```shell\nuv add litellm\n```\n\n```python\nfrom litellm import completion\nimport os\n\nos.environ[\"OPENAI_API_KEY\"] = \"your-openai-key\"\nos.environ[\"ANTHROPIC_API_KEY\"] = \"your-anthropic-key\"\n\n# OpenAI\nresponse = completion(model=\"openai/gpt-4o\", messages=[{\"role\": \"user\", \"content\": \"Hello!\"}])\n\n# Anthropic  \nresponse = completion(model=\"anthropic/claude-sonnet-4-20250514\", messages=[{\"role\": \"user\", \"content\": \"Hello!\"}])\n```\n\n### AI Gateway (Proxy Server)\n\n[**Getting Started - E2E Tutorial**](https://docs.litellm.ai/docs/proxy/docker_quick_start) - Setup virtual keys, make your first request\n\n```shell\nuv tool install 'litellm[proxy]'\nlitellm --model gpt-4o\n```\n\n```python\nimport openai\n\nclient = openai.OpenAI(api_key=\"anything\", base_url=\"http://0.0.0.0:4000\")\nresponse = client.chat.completions.create(\n    model=\"gpt-4o\",\n    messages=[{\"role\": \"user\", \"content\": \"Hello!\"}]\n)\n```\n\n[**Docs: LLM Providers**](https://docs.litellm.ai/docs/providers)\n\n</details>\n\n<details>\n<summary><b>Agents</b> - Invoke A2A Agents (Python SDK + AI Gateway)</summary>\n\n[**Supported Providers**](https://docs.litellm.ai/docs/a2a#add-a2a-agents) - LangGraph, Vertex AI Agent Engine, Azure AI Foundry, Bedrock AgentCore, Pydantic AI\n\n### Python SDK - A2A Protocol\n\n```python\nfrom litellm.a2a_protocol import A2AClient\nfrom a2a.types import SendMessageRequest, MessageSendParams\nfrom uuid import uuid4\n\nclient = A2AClient(base_url=\"http://localhost:10001\")\n\nrequest = SendMessageRequest(\n    id=str(uuid4()),\n    params=MessageSendParams(\n        message={\n            \"role\": \"user\",\n            \"parts\": [{\"kind\": \"text\", \"text\": \"Hello!\"}],\n            \"messageId\": uuid4().hex,\n        }\n    )\n)\nresponse = await client.send_message(request)\n```\n\n### AI Gateway (Proxy Server)\n\n**Step 1.** [Add your Agent to the AI Gateway](https://docs.litellm.ai/docs/a2a#adding-your-agent) — set `protocolVersion` to `1.0` or `0.3` per agent\n\n**Step 2.** Call Agent via A2A SDK (requires `a2a-sdk>=1.1.0`)\n\n```python\nimport httpx\nfrom a2a.client import A2ACardResolver, ClientConfig, ClientFactory\nfrom a2a.types import Message, Part, Role, SendMessageRequest\nfrom a2a.utils.constants import TransportProtocol\nfrom uuid import uuid4\n\nbase_url = \"http://localhost:4000/a2a/my-agent\"  # LiteLLM proxy + agent name\nheaders = {\"Authorization\": \"Bearer sk-1234\"}    # LiteLLM Virtual Key\n\nasync with httpx.AsyncClient(headers=headers, timeout=60.0) as http_client:\n    resolver = A2ACardResolver(httpx_client=http_client, base_url=base_url)\n    agent_card = await resolver.get_agent_card()\n    config = ClientConfig(\n        httpx_client=http_client,\n        streaming=False,\n        supported_protocol_bindings=[TransportProtocol.JSONRPC, TransportProtocol.HTTP_JSON],\n    )\n    client = ClientFactory(config).create(agent_card)\n\n    request = SendMessageRequest(\n        message=Message(\n            message_id=uuid4().hex,\n            role=Role.ROLE_USER,\n            parts=[Part(text=\"Hello!\")],\n        )\n    )\n    async for event in client.send_message(request):\n        populated = event.ListFields()\n        if populated and populated[0][0].name in (\"message\", \"msg\"):\n            print(\"\".join(getattr(p, \"text\", \"\") or \"\" for p in populated[0][1].parts))\n```\n\n[**Docs: A2A Agent Gateway**](https://docs.litellm.ai/docs/a2a)\n\n</details>\n\n<details>\n<summary><b>MCP Tools</b> - Connect MCP servers to any LLM (Python SDK + AI Gateway)</summary>\n\n### Python SDK - MCP Bridge\n\n```python\nfrom mcp import ClientSession, StdioServerParameters\nfrom mcp.client.stdio import stdio_client\nfrom litellm import experimental_mcp_client\nimport litellm\n\nserver_params = StdioServerParameters(command=\"python\", args=[\"mcp_server.py\"])\n\nasync with stdio_client(server_params) as (read, write):\n    async with ClientSession(read, write) as session:\n        await session.initialize()\n\n        # Load MCP tools in OpenAI format\n        tools = await experimental_mcp_client.load_mcp_tools(session=session, format=\"openai\")\n\n        # Use with any LiteLLM model\n        response = await litellm.acompletion(\n            model=\"gpt-4o\",\n            messages=[{\"role\": \"user\", \"content\": \"What's 3 + 5?\"}],\n            tools=tools\n        )\n```\n\n### AI Gateway - MCP Gateway\n\n**Step 1.** [Add your MCP Server to the AI Gateway](https://docs.litellm.ai/docs/mcp#adding-your-mcp)\n\n**Step 2.** Call MCP tools via `/chat/completions`\n\n```bash\ncurl -X POST 'http://0.0.0.0:4000/v1/chat/completions' \\\n  -H 'Authorization: Bearer sk-1234' \\\n  -H 'Content-Type: application/json' \\\n  -d '{\n    \"model\": \"gpt-4o\",\n    \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the latest open PR\"}],\n    \"tools\": [{\n      \"type\": \"mcp\",\n      \"server_url\": \"litellm_proxy/mcp/github\",\n      \"server_label\": \"github_mcp\",\n      \"require_approval\": \"never\"\n    }]\n  }'\n```\n\n### Use with Cursor IDE\n\n```json\n{\n  \"mcpServers\": {\n    \"LiteLLM\": {\n      \"url\": \"http://localhost:4000/mcp/\",\n      \"headers\": {\n        \"x-litellm-api-key\": \"Bearer sk-1234\"\n      }\n    }\n  }\n}\n```\n\n[**Docs: MCP Gateway**](https://docs.litellm.ai/docs/mcp)\n\n</details>\n\n### Supported Providers ([Website Supported Models](https://models.litellm.ai/) | [Docs](https://docs.litellm.ai/docs/providers))\n\n| Provider                                                                            | `/chat/completions` | `/messages` | `/responses` | `/embeddings` | `/image/generations` | `/audio/transcriptions` | `/audio/speech` | `/moderations` | `/batches` | `/rerank` |\n|-------------------------------------------------------------------------------------|---------------------|-------------|--------------|---------------|----------------------|-------------------------|-----------------|----------------|-----------|-----------|\n| [Abliteration (`abliteration`)](https://docs.litellm.ai/docs/providers/abliteration) | ✅ |  |  |  |  |  |  |  |  |  |\n| [AI/ML API (`aiml`)](https://docs.litellm.ai/docs/providers/aiml) | ✅ | ✅ | ✅ | ✅ | ✅ |  |  |  |  |  |\n| [AI21 (`ai21`)](https://docs.litellm.ai/docs/providers/ai21) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [AI21 Chat (`ai21_chat`)](https://docs.litellm.ai/docs/providers/ai21) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Aleph Alpha](https://docs.litellm.ai/docs/providers/aleph_alpha) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Amazon Nova](https://docs.litellm.ai/docs/providers/amazon_nova) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Anthropic (`anthropic`)](https://docs.litellm.ai/docs/providers/anthropic) | ✅ | ✅ | ✅ |  |  |  |  |  | ✅ |  |\n| [Anthropic Text (`anthropic_text`)](https://docs.litellm.ai/docs/providers/anthropic) | ✅ | ✅ | ✅ |  |  |  |  |  | ✅ |  |\n| [Anyscale](https://docs.litellm.ai/docs/providers/anyscale) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [AssemblyAI (`assemblyai`)](https://docs.litellm.ai/docs/pass_through/assembly_ai) | ✅ | ✅ | ✅ |  |  | ✅ |  |  |  |  |\n| [Auto Router (`auto_router`)](https://docs.litellm.ai/docs/proxy/auto_routing) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [AWS - Bedrock (`bedrock`)](https://docs.litellm.ai/docs/providers/bedrock) | ✅ | ✅ | ✅ | ✅ |  |  |  |  |  | ✅ |\n| [AWS - Sagemaker (`sagemaker`)](https://docs.litellm.ai/docs/providers/aws_sagemaker) | ✅ | ✅ | ✅ | ✅ |  |  |  |  |  |  |\n| [Azure (`azure`)](https://docs.litellm.ai/docs/providers/azure) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |\n| [Azure AI (`azure_ai`)](https://docs.litellm.ai/docs/providers/azure_ai) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |\n| [Azure Text (`azure_text`)](https://docs.litellm.ai/docs/providers/azure) | ✅ | ✅ | ✅ |  |  | ✅ | ✅ | ✅ | ✅ |  |\n| [Baseten (`baseten`)](https://docs.litellm.ai/docs/providers/baseten) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Bytez (`bytez`)](https://docs.litellm.ai/docs/providers/bytez) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Cerebras (`cerebras`)](https://docs.litellm.ai/docs/providers/cerebras) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Clarifai (`clarifai`)](https://docs.litellm.ai/docs/providers/clarifai) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Cloudflare AI Workers (`cloudflare`)](https://docs.litellm.ai/docs/providers/cloudflare_workers) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Codestral (`codestral`)](https://docs.litellm.ai/docs/providers/codestral) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Cohere (`cohere`)](https://docs.litellm.ai/docs/providers/cohere) | ✅ | ✅ | ✅ | ✅ |  |  |  |  |  | ✅ |\n| [Cohere Chat (`cohere_chat`)](https://docs.litellm.ai/docs/providers/cohere) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [CometAPI (`cometapi`)](https://docs.litellm.ai/docs/providers/cometapi) | ✅ | ✅ | ✅ | ✅ |  |  |  |  |  |  |\n| [CompactifAI (`compactifai`)](https://docs.litellm.ai/docs/providers/compactifai) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Custom (`custom`)](https://docs.litellm.ai/docs/providers/custom_llm_server) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Custom OpenAI (`custom_openai`)](https://docs.litellm.ai/docs/providers/openai_compatible) | ✅ | ✅ | ✅ |  |  | ✅ | ✅ | ✅ | ✅ |  |\n| [Dashscope (`dashscope`)](https://docs.litellm.ai/docs/providers/dashscope) | ✅ | ✅ | ✅ | ✅ |  |  |  |  |  | ✅ |\n| [Databricks (`databricks`)](https://docs.litellm.ai/docs/providers/databricks) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [DataRobot (`datarobot`)](https://docs.litellm.ai/docs/providers/datarobot) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Deepgram (`deepgram`)](https://docs.litellm.ai/docs/providers/deepgram) | ✅ | ✅ | ✅ |  |  | ✅ |  |  |  |  |\n| [DeepInfra (`deepinfra`)](https://docs.litellm.ai/docs/providers/deepinfra) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Deepseek (`deepseek`)](https://docs.litellm.ai/docs/providers/deepseek) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [ElevenLabs (`elevenlabs`)](https://docs.litellm.ai/docs/providers/elevenlabs) | ✅ | ✅ | ✅ |  |  | ✅ | ✅ |  |  |  |\n| [Empower (`empower`)](https://docs.litellm.ai/docs/providers/empower) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Fal AI (`fal_ai`)](https://docs.litellm.ai/docs/providers/fal_ai) | ✅ | ✅ | ✅ |  | ✅ |  |  |  |  |  |\n| [Featherless AI (`featherless_ai`)](https://docs.litellm.ai/docs/providers/featherless_ai) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Fireworks AI (`fireworks_ai`)](https://docs.litellm.ai/docs/providers/fireworks_ai) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [FriendliAI (`friendliai`)](https://docs.litellm.ai/docs/providers/friendliai) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Galadriel (`galadriel`)](https://docs.litellm.ai/docs/providers/galadriel) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [GitHub Copilot (`github_copilot`)](https://docs.litellm.ai/docs/providers/github_copilot) | ✅ | ✅ | ✅ | ✅ |  |  |  |  |  |  |\n| [GitHub Models (`github`)](https://docs.litellm.ai/docs/providers/github) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Google - PaLM](https://docs.litellm.ai/docs/providers/palm) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Google - Vertex AI (`vertex_ai`)](https://docs.litellm.ai/docs/providers/vertex) | ✅ | ✅ | ✅ | ✅ | ✅ |  |  |  |  |  |\n| [Google AI Studio - Gemini (`gemini`)](https://docs.litellm.ai/docs/providers/gemini) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [GradientAI (`gradient_ai`)](https://docs.litellm.ai/docs/providers/gradient_ai) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Groq AI (`groq`)](https://docs.litellm.ai/docs/providers/groq) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Heroku (`heroku`)](https://docs.litellm.ai/docs/providers/heroku) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Hosted VLLM (`hosted_vllm`)](https://docs.litellm.ai/docs/providers/vllm) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Huggingface (`huggingface`)](https://docs.litellm.ai/docs/providers/huggingface) | ✅ | ✅ | ✅ | ✅ |  |  |  |  |  | ✅ |\n| [Hyperbolic (`hyperbolic`)](https://docs.litellm.ai/docs/providers/hyperbolic) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [IBM - Watsonx.ai (`watsonx`)](https://docs.litellm.ai/docs/providers/watsonx) | ✅ | ✅ | ✅ | ✅ |  |  |  |  |  |  |\n| [Infinity (`infinity`)](https://docs.litellm.ai/docs/providers/infinity) |  |  |  | ✅ |  |  |  |  |  |  |\n| [Jina AI (`jina_ai`)](https://docs.litellm.ai/docs/providers/jina_ai) |  |  |  | ✅ |  |  |  |  |  |  |\n| [Lambda AI (`lambda_ai`)](https://docs.litellm.ai/docs/providers/lambda_ai) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Lemonade (`lemonade`)](https://docs.litellm.ai/docs/providers/lemonade) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [LiteLLM Proxy (`litellm_proxy`)](https://docs.litellm.ai/docs/providers/litellm_proxy) | ✅ | ✅ | ✅ | ✅ | ✅ |  |  |  |  |  |\n| [Llamafile (`llamafile`)](https://docs.litellm.ai/docs/providers/llamafile) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [LM Studio (`lm_studio`)](https://docs.litellm.ai/docs/providers/lm_studio) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Maritalk (`maritalk`)](https://docs.litellm.ai/docs/providers/maritalk) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Meta - Llama API (`meta_llama`)](https://docs.litellm.ai/docs/providers/meta_llama) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Mistral AI API (`mistral`)](https://docs.litellm.ai/docs/providers/mistral) | ✅ | ✅ | ✅ | ✅ |  |  |  |  |  |  |\n| [ModelScope (`modelscope`)](https://docs.litellm.ai/docs/providers/modelscope) | ✅ | ✅ | ✅ |  | ✅ |  |  |  |  |  |\n| [Moonshot (`moonshot`)](https://docs.litellm.ai/docs/providers/moonshot) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Morph (`morph`)](https://docs.litellm.ai/docs/providers/morph) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Nebius AI Studio (`nebius`)](https://docs.litellm.ai/docs/providers/nebius) | ✅ | ✅ | ✅ | ✅ |  |  |  |  |  |  |\n| [NLP Cloud (`nlp_cloud`)](https://docs.litellm.ai/docs/providers/nlp_cloud) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Novita AI (`novita`)](https://novita.ai/models/llm?utm_source=github_litellm&utm_medium=github_readme&utm_campaign=github_link) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Nscale (`nscale`)](https://docs.litellm.ai/docs/providers/nscale) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Nvidia NIM (`nvidia_nim`)](https://docs.litellm.ai/docs/providers/nvidia_nim) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [OCI (`oci`)](https://docs.litellm.ai/docs/providers/oci) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Ollama (`ollama`)](https://docs.litellm.ai/docs/providers/ollama) | ✅ | ✅ | ✅ | ✅ |  |  |  |  |  |  |\n| [Ollama Chat (`ollama_chat`)](https://docs.litellm.ai/docs/providers/ollama) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Oobabooga (`oobabooga`)](https://docs.litellm.ai/docs/providers/openai_compatible) | ✅ | ✅ | ✅ |  |  | ✅ | ✅ | ✅ | ✅ |  |\n| [OpenAI (`openai`)](https://docs.litellm.ai/docs/providers/openai) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |\n| [OpenAI-like (`openai_like`)](https://docs.litellm.ai/docs/providers/openai_compatible) |  |  |  | ✅ |  |  |  |  |  |  |\n| [OpenRouter (`openrouter`)](https://docs.litellm.ai/docs/providers/openrouter) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [OVHCloud AI Endpoints (`ovhcloud`)](https://docs.litellm.ai/docs/providers/ovhcloud) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Perplexity AI (`perplexity`)](https://docs.litellm.ai/docs/providers/perplexity) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Petals (`petals`)](https://docs.litellm.ai/docs/providers/petals) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Pinstripes (`pinstripes`)](https://docs.litellm.ai/docs/providers/pinstripes) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Predibase (`predibase`)](https://docs.litellm.ai/docs/providers/predibase) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Recraft (`recraft`)](https://docs.litellm.ai/docs/providers/recraft) |  |  |  |  | ✅ |  |  |  |  |  |\n| [Replicate (`replicate`)](https://docs.litellm.ai/docs/providers/replicate) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Sagemaker Chat (`sagemaker_chat`)](https://docs.litellm.ai/docs/providers/aws_sagemaker) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Sambanova (`sambanova`)](https://docs.litellm.ai/docs/providers/sambanova) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Snowflake (`snowflake`)](https://docs.litellm.ai/docs/providers/snowflake) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Text Completion Codestral (`text-completion-codestral`)](https://docs.litellm.ai/docs/providers/codestral) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Text Completion OpenAI (`text-completion-openai`)](https://docs.litellm.ai/docs/providers/text_completion_openai) | ✅ | ✅ | ✅ |  |  | ✅ | ✅ | ✅ | ✅ |  |\n| [Together AI (`together_ai`)](https://docs.litellm.ai/docs/providers/togetherai) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Topaz (`topaz`)](https://docs.litellm.ai/docs/providers/topaz) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Triton (`triton`)](https://docs.litellm.ai/docs/providers/triton-inference-server) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [V0 (`v0`)](https://docs.litellm.ai/docs/providers/v0) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Vercel AI Gateway (`vercel_ai_gateway`)](https://docs.litellm.ai/docs/providers/vercel_ai_gateway) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [VLLM (`vllm`)](https://docs.litellm.ai/docs/providers/vllm) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Volcengine (`volcengine`)](https://docs.litellm.ai/docs/providers/volcano) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Voyage AI (`voyage`)](https://docs.litellm.ai/docs/providers/voyage) |  |  |  | ✅ |  |  |  |  |  |  |\n| [WandB Inference (`wandb`)](https://docs.litellm.ai/docs/providers/wandb_inference) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Watsonx Text (`watsonx_text`)](https://docs.litellm.ai/docs/providers/watsonx) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [xAI (`xai`)](https://docs.litellm.ai/docs/providers/xai) | ✅ | ✅ | ✅ |  |  |  |  |  |  |  |\n| [Xinference (`xinference`)](https://docs.litellm.ai/docs/providers/xinference) |  |  |  | ✅ |  |  |  |  |  |  |\n\n[**Read the Docs**](https://docs.litellm.ai/docs/)\n\n---\n\n## Get Started\n\nYou can use LiteLLM through either the Proxy Server or Python SDK. Both give you a unified interface to access multiple LLMs (100+ LLMs). Choose the option that best fits your needs:\n\n<table style={{width: '100%', tableLayout: 'fixed'}}>\n<thead>\n<tr>\n<th style={{width: '14%'}}></th>\n<th style={{width: '43%'}}><strong><a href=\"https://docs.litellm.ai/docs/simple_proxy\">LiteLLM AI Gateway</a></strong></th>\n<th style={{width: '43%'}}><strong><a href=\"https://docs.litellm.ai/docs/\">LiteLLM Python SDK</a></strong></th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td style={{width: '14%'}}><strong>Use Case</strong></td>\n<td style={{width: '43%'}}>Central service (LLM Gateway) to access multiple LLMs</td>\n<td style={{width: '43%'}}>Use LiteLLM directly in your Python code</td>\n</tr>\n<tr>\n<td style={{width: '14%'}}><strong>Who Uses It?</strong></td>\n<td style={{width: '43%'}}>Gen AI Enablement / ML Platform Teams</td>\n<td style={{width: '43%'}}>Developers building LLM projects</td>\n</tr>\n<tr>\n<td style={{width: '14%'}}><strong>Key Features</strong></td>\n<td style={{width: '43%'}}>Centralized API gateway with authentication and authorization, multi-tenant cost tracking and spend management per project/user, per-project customization (logging, guardrails, caching), virtual keys for secure access control, admin dashboard UI for monitoring and management</td>\n<td style={{width: '43%'}}>Direct Python library integration in your codebase, Router with retry/fallback logic across multiple deployments (e.g. Azure/OpenAI) - <a href=\"https://docs.litellm.ai/docs/routing\">Router</a>, application-level load balancing and cost tracking, exception handling with OpenAI-compatible errors, observability callbacks (Lunary, MLflow, Langfuse, etc.)</td>\n</tr>\n</tbody>\n</table>\n\n**Stable Release:** Use docker images with the `-stable` tag. These have undergone 12 hour load tests, before being published. [More information about the release cycle here](https://docs.litellm.ai/docs/proxy/release_cycle)\n\nSupport for more providers. Missing a provider or LLM Platform, raise a [feature request](https://github.com/BerriAI/litellm/issues/new?assignees=&labels=enhancement&projects=&template=feature_request.yml&title=%5BFeature%5D%3A+).\n\n### Deploy on AWS or GCP with Terraform\n\nRun the LiteLLM proxy as a production-ready componentized stack (gateway, backend, UI on separate services; managed Postgres + Redis + object store) using the published Terraform modules. Both modules are on the [public Terraform Registry](https://registry.terraform.io/namespaces/BerriAI) — no auth needed.\n\n#### AWS — ECS Fargate + Aurora + ElastiCache + ALB\n\n[![Launch in AWS CloudShell](https://img.shields.io/badge/Launch-AWS_CloudShell-FF9900?logo=amazon-aws&logoColor=white)](https://console.aws.amazon.com/cloudshell/home) — opens an in-browser shell, already authenticated to your AWS account. Once inside, run:\n\n```bash\ngit clone https://github.com/BerriAI/litellm.git\ncd litellm/terraform/litellm/aws/examples/default\ncp terraform.tfvars.example terraform.tfvars   # edit region/tenant/env\nterraform init && terraform apply\n```\n\n[Module page →](https://registry.terraform.io/modules/BerriAI/litellm/aws/latest)\n\nOr call the module from your own root config:\n\n```hcl\n# main.tf\nterraform {\n  required_version = \">= 1.6.0\"\n  required_providers {\n    aws = { source = \"hashicorp/aws\", version = \"~> 5.60\" }\n  }\n}\n\nprovider \"aws\" {\n  region = \"us-west-2\"\n}\n\nmodule \"litellm\" {\n  source  = \"BerriAI/litellm/aws\"\n  version = \"~> 1.89\"\n\n  region = \"us-west-2\"\n  azs    = [\"us-west-2a\", \"us-west-2b\"]\n  tenant = \"acme\"\n  env    = \"prod\"\n\n  # Production: provide an ACM cert. Without one, set allow_plaintext_alb = true\n  # (dev/trial only).\n  # acm_certificate_arn = \"arn:aws:acm:us-west-2:111122223333:certificate/...\"\n  allow_plaintext_alb = true\n}\n\noutput \"litellm_url\" {\n  value = module.litellm.alb_dns_name\n}\n```\n\n```bash\nterraform init\nterraform apply\n```\n\nProvider API keys live in AWS Secrets Manager; reference ARNs via `gateway_extra_secrets`. Full input list and architecture diagram on the [registry page](https://registry.terraform.io/modules/BerriAI/litellm/aws/latest?tab=inputs).\n\n#### GCP — Cloud Run + Cloud SQL + Memorystore + HTTPS LB\n\n[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.png)](https://ssh.cloud.google.com/cloudshell/editor?cloudshell_git_repo=https%3A%2F%2Fgithub.com%2FBerriAI%2Flitellm&cloudshell_workspace=terraform%2Flitellm%2Fgcp%2Fexamples%2Fdefault&cloudshell_tutorial=TUTORIAL.md&cloudshell_image=gcr.io/ds-artifacts-cloudshell/deploystack_custom_image&shellonly=true)\n\nReal 1-click. Opens Cloud Shell, clones this repo, and walks you through `terraform apply` via a built-in [DeployStack tutorial](./terraform/litellm/gcp/examples/default/TUTORIAL.md) — pick the project, the tutorial sets up the Artifact Registry remote repo, writes `terraform.tfvars` from your answers, and runs apply.\n\n[Module page →](https://registry.terraform.io/modules/BerriAI/litellm/google/latest)\n\nTo call the module from your own config instead, Cloud Run can't pull from `ghcr.io` directly, so first set up a one-time Artifact Registry remote repo backed by GHCR:\n\n```bash\ngcloud artifacts repositories create litellm \\\n  --location=us-central1 \\\n  --repository-format=docker \\\n  --mode=remote-repository \\\n  --remote-docker-repo=https://ghcr.io \\\n  --project=my-gcp-project\n```\n\nThen:\n\n```hcl\n# main.tf\nterraform {\n  required_version = \">= 1.6.0\"\n  required_providers {\n    google      = { source = \"hashicorp/google\",      version = \"~> 6.10\" }\n    google-beta = { source = \"hashicorp/google-beta\", version = \"~> 6.10\" }\n  }\n}\n\nprovider \"google\"      { project = \"my-gcp-project\"; region = \"us-central1\" }\nprovider \"google-beta\" { project = \"my-gcp-project\"; region = \"us-central1\" }\n\nmodule \"litellm\" {\n  source  = \"BerriAI/litellm/google\"\n  version = \"~> 1.89\"\n\n  project_id = \"my-gcp-project\"\n  region     = \"us-central1\"\n  tenant     = \"acme\"\n  env        = \"prod\"\n\n  # Replace my-gcp-project with your GCP project ID (same value as project_id above).\n  image_registry = \"us-central1-docker.pkg.dev/my-gcp-project/litellm/berriai\"\n\n  # Production: provide DNS already pointing at the LB IP for Google-managed certs.\n  # Without one, set allow_plaintext_lb = true (dev/trial only).\n  # lb_domains         = [\"proxy.example.com\"]\n  allow_plaintext_lb = true\n}\n\noutput \"litellm_url\" {\n  value = module.litellm.load_balancer_url\n}\n```\n\n```bash\nterraform init\nterraform apply\n```\n\nProvider API keys live in Secret Manager; reference resource IDs (e.g. `projects/my-gcp-project/secrets/openai-api-key`) via `gateway_extra_secrets`. Full input list and architecture diagram on the [registry page](https://registry.terraform.io/modules/BerriAI/litellm/google/latest?tab=inputs).\n\n#### Both stacks include\n\n- The full componentized split (gateway / backend / UI as independent services)\n- Managed Postgres (writer + reader) and Redis\n- Versioned object store for proxy state + file uploads\n- An auto-generated `LITELLM_MASTER_KEY` in your cloud's secret manager\n- A one-off migration job that runs `prisma migrate deploy` before the proxy starts\n- The same `proxy_config` surface as the [Helm chart](./helm/litellm/) — pass YAML as a typed map\n\nThe Terraform modules live at [`terraform/litellm/aws/`](./terraform/litellm/aws/) and [`terraform/litellm/gcp/`](./terraform/litellm/gcp/) in this repo; the registry entries are read-only mirrors updated on each release.\n\n### Run in Developer Mode\n#### Services\n1. Setup .env file in root\n2. Run dependent services `docker-compose up db prometheus`\n\n#### Backend\n1. (In root) create virtual environment `python -m venv .venv`\n2. Activate virtual environment `source .venv/bin/activate`\n3. Install dependencies `uv sync --all-extras --group proxy-dev`\n4. `uv run prisma generate`\n5. `prisma generate`\n6. Start proxy backend `python litellm/proxy/proxy_cli.py`\n\n#### Frontend\n1. Navigate to `ui/litellm-dashboard`\n2. Install dependencies `npm install`\n3. Run `npm run dev` to start the dashboard\n\n### Verify Docker Image Signatures\n\nAll LiteLLM Docker images published to GHCR are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). Every release is signed with the same key introduced in [commit `0112e53`](https://github.com/BerriAI/litellm/commit/0112e53046018d726492c814b3644b7d376029d0).\n\n**Verify using the pinned commit hash (recommended):**\n\nA commit hash is cryptographically immutable, so this is the strongest way to ensure you are using the original signing key:\n\n```bash\ncosign verify \\\n  --key https://raw.githubusercontent.com/BerriAI/litellm/0112e53046018d726492c814b3644b7d376029d0/cosign.pub \\\n  ghcr.io/berriai/litellm:<release-tag>\n```\n\n**Verify using a release tag (convenience):**\n\nTags are protected in this repository and resolve to the same key. This option is easier to read but relies on tag protection rules:\n\n```bash\ncosign verify \\\n  --key https://raw.githubusercontent.com/BerriAI/litellm/<release-tag>/cosign.pub \\\n  ghcr.io/berriai/litellm:<release-tag>\n```\n\nReplace `<release-tag>` with the version you are deploying (e.g. `v1.83.0-stable`).\n\n---\n\n# Enterprise\nFor companies that need better security, user management and professional support\n\n[Get an Enterprise License](https://litellm.ai/enterprise)\n[Talk to founders](https://enterprise.litellm.ai/demo)\n\nThis covers:\n- ✅ **Features under the [LiteLLM Commercial License](https://docs.litellm.ai/docs/proxy/enterprise):**\n- ✅ **Feature Prioritization**\n- ✅ **Custom Integrations**\n- ✅ **Professional Support - Dedicated discord + slack**\n- ✅ **Custom SLAs**\n- ✅ **Secure access with Single Sign-On**\n\n# Contributing\n\nWe welcome contributions to LiteLLM! Whether you're fixing bugs, adding features, or improving documentation, we appreciate your help.\n\n## Quick Start for Contributors\n\nThis requires uv to be installed.\n\n```bash\ngit clone https://github.com/BerriAI/litellm.git\ncd litellm\nmake install-dev    # Install development dependencies\nmake format         # Format your code\nmake lint           # Run all linting checks\nmake test-unit      # Run unit tests\nmake format-check   # Check formatting only\n```\n\nFor detailed contributing guidelines, see [CONTRIBUTING.md](CONTRIBUTING.md).\n\n> **📖 Contributing to documentation?** The LiteLLM docs have moved to a separate repository: [BerriAI/litellm-docs](https://github.com/BerriAI/litellm-docs). Please open doc PRs there. Docs are served at [docs.litellm.ai](https://docs.litellm.ai).\n\n## Code Quality / Linting\n\nLiteLLM follows the [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html).\n\nOur automated checks include:\n- **Black** for code formatting\n- **Ruff** for linting and code quality\n- **MyPy** for type checking\n- **Circular import detection**\n- **Import safety checks**\n\n\nAll these checks must pass before your PR can be merged.\n\n\n# Support / talk with founders\n\n- [Schedule Demo 👋](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version)\n- [Community Discord 💭](https://discord.gg/wuPM9dRgDw)\n- [Community Slack 💭](https://www.litellm.ai/support)\n- Our emails ✉️ ishaan@berri.ai / krrish@berri.ai\n\n# Contributors\n\n<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->\n<!-- prettier-ignore-start -->\n<!-- markdownlint-disable -->\n\n<!-- markdownlint-restore -->\n<!-- prettier-ignore-end -->\n\n<!-- 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