forked from phoenix/litellm-mirror
301 lines
22 KiB
Markdown
301 lines
22 KiB
Markdown
<h1 align="center">
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🚅 LiteLLM
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</h1>
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<p align="center">
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<p align="center">Call all LLM APIs using the OpenAI format [Bedrock, Huggingface, VertexAI, TogetherAI, Azure, OpenAI, etc.]
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<br>
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</p>
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<h4 align="center"><a href="https://docs.litellm.ai/docs/simple_proxy" target="_blank">OpenAI Proxy Server</a> | <a href="https://docs.litellm.ai/docs/enterprise"target="_blank">Enterprise Tier</a></h4>
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<h4 align="center">
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<a href="https://pypi.org/project/litellm/" target="_blank">
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<img src="https://img.shields.io/pypi/v/litellm.svg" alt="PyPI Version">
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</a>
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<a href="https://dl.circleci.com/status-badge/redirect/gh/BerriAI/litellm/tree/main" target="_blank">
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<img src="https://dl.circleci.com/status-badge/img/gh/BerriAI/litellm/tree/main.svg?style=svg" alt="CircleCI">
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</a>
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<a href="https://www.ycombinator.com/companies/berriai">
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<img src="https://img.shields.io/badge/Y%20Combinator-W23-orange?style=flat-square" alt="Y Combinator W23">
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</a>
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<a href="https://wa.link/huol9n">
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<img src="https://img.shields.io/static/v1?label=Chat%20on&message=WhatsApp&color=success&logo=WhatsApp&style=flat-square" alt="Whatsapp">
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</a>
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<a href="https://discord.gg/wuPM9dRgDw">
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<img src="https://img.shields.io/static/v1?label=Chat%20on&message=Discord&color=blue&logo=Discord&style=flat-square" alt="Discord">
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</a>
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</h4>
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LiteLLM manages:
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- Translate inputs to provider's `completion`, `embedding`, and `image_generation` endpoints
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- [Consistent output](https://docs.litellm.ai/docs/completion/output), text responses will always be available at `['choices'][0]['message']['content']`
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- Retry/fallback logic across multiple deployments (e.g. Azure/OpenAI) - [Router](https://docs.litellm.ai/docs/routing)
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- Set Budgets & Rate limits per project, api key, model [OpenAI Proxy Server](https://docs.litellm.ai/docs/simple_proxy)
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[**Jump to OpenAI Proxy Docs**](https://github.com/BerriAI/litellm?tab=readme-ov-file#openai-proxy---docs) <br>
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[**Jump to Supported LLM Providers**](https://github.com/BerriAI/litellm?tab=readme-ov-file#supported-providers-docs)
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🚨 **Stable Release:** v1.34.1
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Support 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+).
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# Usage ([**Docs**](https://docs.litellm.ai/docs/))
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> [!IMPORTANT]
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> LiteLLM v1.0.0 now requires `openai>=1.0.0`. Migration guide [here](https://docs.litellm.ai/docs/migration)
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<a target="_blank" href="https://colab.research.google.com/github/BerriAI/litellm/blob/main/cookbook/liteLLM_Getting_Started.ipynb">
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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</a>
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```shell
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pip install litellm
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```
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```python
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from litellm import completion
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import os
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## set ENV variables
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os.environ["OPENAI_API_KEY"] = "your-openai-key"
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os.environ["COHERE_API_KEY"] = "your-cohere-key"
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messages = [{ "content": "Hello, how are you?","role": "user"}]
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# openai call
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response = completion(model="gpt-3.5-turbo", messages=messages)
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# cohere call
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response = completion(model="command-nightly", messages=messages)
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print(response)
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```
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Call any model supported by a provider, with `model=<provider_name>/<model_name>`. There might be provider-specific details here, so refer to [provider docs for more information](https://docs.litellm.ai/docs/providers)
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## Async ([Docs](https://docs.litellm.ai/docs/completion/stream#async-completion))
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```python
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from litellm import acompletion
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import asyncio
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async def test_get_response():
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user_message = "Hello, how are you?"
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messages = [{"content": user_message, "role": "user"}]
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response = await acompletion(model="gpt-3.5-turbo", messages=messages)
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return response
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response = asyncio.run(test_get_response())
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print(response)
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```
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## Streaming ([Docs](https://docs.litellm.ai/docs/completion/stream))
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liteLLM supports streaming the model response back, pass `stream=True` to get a streaming iterator in response.
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Streaming is supported for all models (Bedrock, Huggingface, TogetherAI, Azure, OpenAI, etc.)
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```python
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from litellm import completion
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response = completion(model="gpt-3.5-turbo", messages=messages, stream=True)
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for part in response:
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print(part.choices[0].delta.content or "")
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# claude 2
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response = completion('claude-2', messages, stream=True)
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for part in response:
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print(part.choices[0].delta.content or "")
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```
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## Logging Observability ([Docs](https://docs.litellm.ai/docs/observability/callbacks))
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LiteLLM exposes pre defined callbacks to send data to Lunary, Langfuse, DynamoDB, s3 Buckets, Helicone, Promptlayer, Traceloop, Athina, Slack
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```python
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from litellm import completion
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## set env variables for logging tools
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os.environ["LUNARY_PUBLIC_KEY"] = "your-lunary-public-key"
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os.environ["LANGFUSE_PUBLIC_KEY"] = ""
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os.environ["LANGFUSE_SECRET_KEY"] = ""
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os.environ["ATHINA_API_KEY"] = "your-athina-api-key"
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os.environ["OPENAI_API_KEY"]
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# set callbacks
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litellm.success_callback = ["lunary", "langfuse", "athina"] # log input/output to lunary, langfuse, supabase, athina etc
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#openai call
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response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
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```
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# OpenAI Proxy - ([Docs](https://docs.litellm.ai/docs/simple_proxy))
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Set Budgets & Rate limits across multiple projects
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The proxy provides:
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1. [Hooks for auth](https://docs.litellm.ai/docs/proxy/virtual_keys#custom-auth)
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2. [Hooks for logging](https://docs.litellm.ai/docs/proxy/logging#step-1---create-your-custom-litellm-callback-class)
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3. [Cost tracking](https://docs.litellm.ai/docs/proxy/virtual_keys#tracking-spend)
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4. [Rate Limiting](https://docs.litellm.ai/docs/proxy/users#set-rate-limits)
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## 📖 Proxy Endpoints - [Swagger Docs](https://litellm-api.up.railway.app/)
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## Quick Start Proxy - CLI
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```shell
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pip install 'litellm[proxy]'
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```
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### Step 1: Start litellm proxy
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```shell
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$ litellm --model huggingface/bigcode/starcoder
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#INFO: Proxy running on http://0.0.0.0:4000
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```
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### Step 2: Make ChatCompletions Request to Proxy
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```python
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import openai # openai v1.0.0+
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client = openai.OpenAI(api_key="anything",base_url="http://0.0.0.0:4000") # set proxy to base_url
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# request sent to model set on litellm proxy, `litellm --model`
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response = client.chat.completions.create(model="gpt-3.5-turbo", messages = [
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{
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"role": "user",
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"content": "this is a test request, write a short poem"
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}
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])
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print(response)
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```
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## Proxy Key Management ([Docs](https://docs.litellm.ai/docs/proxy/virtual_keys))
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UI on `/ui` on your proxy server
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Set budgets and rate limits across multiple projects
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`POST /key/generate`
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### Request
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```shell
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curl 'http://0.0.0.0:4000/key/generate' \
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--header 'Authorization: Bearer sk-1234' \
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--header 'Content-Type: application/json' \
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--data-raw '{"models": ["gpt-3.5-turbo", "gpt-4", "claude-2"], "duration": "20m","metadata": {"user": "ishaan@berri.ai", "team": "core-infra"}}'
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```
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### Expected Response
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```shell
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{
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"key": "sk-kdEXbIqZRwEeEiHwdg7sFA", # Bearer token
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"expires": "2023-11-19T01:38:25.838000+00:00" # datetime object
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}
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```
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## Supported Providers ([Docs](https://docs.litellm.ai/docs/providers))
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| Provider | [Completion](https://docs.litellm.ai/docs/#basic-usage) | [Streaming](https://docs.litellm.ai/docs/completion/stream#streaming-responses) | [Async Completion](https://docs.litellm.ai/docs/completion/stream#async-completion) | [Async Streaming](https://docs.litellm.ai/docs/completion/stream#async-streaming) | [Async Embedding](https://docs.litellm.ai/docs/embedding/supported_embedding) | [Async Image Generation](https://docs.litellm.ai/docs/image_generation) |
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| ----------------------------------------------------------------------------------- | ------------------------------------------------------- | ------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------- | --------------------------------------------------------------------------------- | ----------------------------------------------------------------------------- | ----------------------------------------------------------------------- |
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| [openai](https://docs.litellm.ai/docs/providers/openai) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| [azure](https://docs.litellm.ai/docs/providers/azure) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| [aws - sagemaker](https://docs.litellm.ai/docs/providers/aws_sagemaker) | ✅ | ✅ | ✅ | ✅ | ✅ |
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| [aws - bedrock](https://docs.litellm.ai/docs/providers/bedrock) | ✅ | ✅ | ✅ | ✅ | ✅ |
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| [google - vertex_ai [Gemini]](https://docs.litellm.ai/docs/providers/vertex) | ✅ | ✅ | ✅ | ✅ |
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| [google - palm](https://docs.litellm.ai/docs/providers/palm) | ✅ | ✅ | ✅ | ✅ |
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| [google AI Studio - gemini](https://docs.litellm.ai/docs/providers/gemini) | ✅ | | ✅ | | |
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| [mistral ai api](https://docs.litellm.ai/docs/providers/mistral) | ✅ | ✅ | ✅ | ✅ | ✅ |
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| [cloudflare AI Workers](https://docs.litellm.ai/docs/providers/cloudflare_workers) | ✅ | ✅ | ✅ | ✅ |
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| [cohere](https://docs.litellm.ai/docs/providers/cohere) | ✅ | ✅ | ✅ | ✅ | ✅ |
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| [anthropic](https://docs.litellm.ai/docs/providers/anthropic) | ✅ | ✅ | ✅ | ✅ |
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| [huggingface](https://docs.litellm.ai/docs/providers/huggingface) | ✅ | ✅ | ✅ | ✅ | ✅ |
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| [replicate](https://docs.litellm.ai/docs/providers/replicate) | ✅ | ✅ | ✅ | ✅ |
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| [together_ai](https://docs.litellm.ai/docs/providers/togetherai) | ✅ | ✅ | ✅ | ✅ |
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| [openrouter](https://docs.litellm.ai/docs/providers/openrouter) | ✅ | ✅ | ✅ | ✅ |
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| [ai21](https://docs.litellm.ai/docs/providers/ai21) | ✅ | ✅ | ✅ | ✅ |
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| [baseten](https://docs.litellm.ai/docs/providers/baseten) | ✅ | ✅ | ✅ | ✅ |
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| [vllm](https://docs.litellm.ai/docs/providers/vllm) | ✅ | ✅ | ✅ | ✅ |
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| [nlp_cloud](https://docs.litellm.ai/docs/providers/nlp_cloud) | ✅ | ✅ | ✅ | ✅ |
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| [aleph alpha](https://docs.litellm.ai/docs/providers/aleph_alpha) | ✅ | ✅ | ✅ | ✅ |
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| [petals](https://docs.litellm.ai/docs/providers/petals) | ✅ | ✅ | ✅ | ✅ |
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| [ollama](https://docs.litellm.ai/docs/providers/ollama) | ✅ | ✅ | ✅ | ✅ |
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| [deepinfra](https://docs.litellm.ai/docs/providers/deepinfra) | ✅ | ✅ | ✅ | ✅ |
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| [perplexity-ai](https://docs.litellm.ai/docs/providers/perplexity) | ✅ | ✅ | ✅ | ✅ |
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| [Groq AI](https://docs.litellm.ai/docs/providers/groq) | ✅ | ✅ | ✅ | ✅ |
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| [anyscale](https://docs.litellm.ai/docs/providers/anyscale) | ✅ | ✅ | ✅ | ✅ |
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| [voyage ai](https://docs.litellm.ai/docs/providers/voyage) | | | | | ✅ |
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| [xinference [Xorbits Inference]](https://docs.litellm.ai/docs/providers/xinference) | | | | | ✅ |
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[**Read the Docs**](https://docs.litellm.ai/docs/)
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## Contributing
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To contribute: Clone the repo locally -> Make a change -> Submit a PR with the change.
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Here's how to modify the repo locally:
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Step 1: Clone the repo
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```
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git clone https://github.com/BerriAI/litellm.git
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```
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Step 2: Navigate into the project, and install dependencies:
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```
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cd litellm
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poetry install
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```
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Step 3: Test your change:
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```
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cd litellm/tests # pwd: Documents/litellm/litellm/tests
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poetry run flake8
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poetry run pytest .
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```
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Step 4: Submit a PR with your changes! 🚀
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- push your fork to your GitHub repo
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- submit a PR from there
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# Enterprise
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For companies that need better security, user management and professional support
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[Talk to founders](https://calendly.com/d/4mp-gd3-k5k/litellm-1-1-onboarding-chat)
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This covers:
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- ✅ **Features under the [LiteLLM Commercial License](https://docs.litellm.ai/docs/proxy/enterprise):**
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- ✅ **Feature Prioritization**
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- ✅ **Custom Integrations**
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- ✅ **Professional Support - Dedicated discord + slack**
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- ✅ **Custom SLAs**
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- ✅ **Secure access with Single Sign-On**
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# Support / talk with founders
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- [Schedule Demo 👋](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version)
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- [Community Discord 💭](https://discord.gg/wuPM9dRgDw)
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- Our numbers 📞 +1 (770) 8783-106 / +1 (412) 618-6238
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- Our emails ✉️ ishaan@berri.ai / krrish@berri.ai
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# Why did we build this
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- **Need for simplicity**: Our code started to get extremely complicated managing & translating calls between Azure, OpenAI and Cohere.
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# Contributors
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<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
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<!-- prettier-ignore-start -->
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<!-- markdownlint-disable -->
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<!-- markdownlint-restore -->
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<!-- prettier-ignore-end -->
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<!-- ALL-CONTRIBUTORS-LIST:END -->
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<a href="https://github.com/BerriAI/litellm/graphs/contributors">
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<img src="https://contrib.rocks/image?repo=BerriAI/litellm" />
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</a>
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