forked from phoenix/litellm-mirror
3beecfb0d4
* fix(utils.py): add logprobs support for together ai Fixes https://github.com/BerriAI/litellm/issues/6724 * feat(pass_through_endpoints/): add anthropic/ pass-through endpoint adds new `anthropic/` pass-through endpoint + refactors docs * feat(spend_management_endpoints.py): allow /global/spend/report to query team + customer id enables seeing spend for a customer in a team * Add integration with MLflow Tracing (#6147) * Add MLflow logger Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * Streaming handling Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * lint Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * address comments and fix issues Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * address comments and fix issues Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * Move logger construction code Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * Add docs Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * async handlers Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * new picture Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * fix(mlflow.py): fix ruff linting errors * ci(config.yml): add mlflow to ci testing * fix: fix test * test: fix test * Litellm key update fix (#6710) * fix(caching): convert arg to equivalent kwargs in llm caching handler prevent unexpected errors * fix(caching_handler.py): don't pass args to caching * fix(caching): remove all *args from caching.py * fix(caching): consistent function signatures + abc method * test(caching_unit_tests.py): add unit tests for llm caching ensures coverage for common caching scenarios across different implementations * refactor(litellm_logging.py): move to using cache key from hidden params instead of regenerating one * fix(router.py): drop redis password requirement * fix(proxy_server.py): fix faulty slack alerting check * fix(langfuse.py): avoid copying functions/thread lock objects in metadata fixes metadata copy error when parent otel span in metadata * test: update test * fix(key_management_endpoints.py): fix /key/update with metadata update * fix(key_management_endpoints.py): fix key_prepare_update helper * fix(key_management_endpoints.py): reset value to none if set in key update * fix: update test ' * Litellm dev 11 11 2024 (#6693) * fix(__init__.py): add 'watsonx_text' as mapped llm api route Fixes https://github.com/BerriAI/litellm/issues/6663 * fix(opentelemetry.py): fix passing parallel tool calls to otel Fixes https://github.com/BerriAI/litellm/issues/6677 * refactor(test_opentelemetry_unit_tests.py): create a base set of unit tests for all logging integrations - test for parallel tool call handling reduces bugs in repo * fix(__init__.py): update provider-model mapping to include all known provider-model mappings Fixes https://github.com/BerriAI/litellm/issues/6669 * feat(anthropic): support passing document in llm api call * docs(anthropic.md): add pdf anthropic call to docs + expose new 'supports_pdf_input' function * fix(factory.py): fix linting error * add clear doc string for GCS bucket logging * Add docs to export logs to Laminar (#6674) * Add docs to export logs to Laminar * minor fix: newline at end of file * place laminar after http and grpc * (Feat) Add langsmith key based logging (#6682) * add langsmith_api_key to StandardCallbackDynamicParams * create a file for langsmith types * langsmith add key / team based logging * add key based logging for langsmith * fix langsmith key based logging * fix linting langsmith * remove NOQA violation * add unit test coverage for all helpers in test langsmith * test_langsmith_key_based_logging * docs langsmith key based logging * run langsmith tests in logging callback tests * fix logging testing * test_langsmith_key_based_logging * test_add_callback_via_key_litellm_pre_call_utils_langsmith * add debug statement langsmith key based logging * test_langsmith_key_based_logging * (fix) OpenAI's optional messages[].name does not work with Mistral API (#6701) * use helper for _transform_messages mistral * add test_message_with_name to base LLMChat test * fix linting * add xAI on Admin UI (#6680) * (docs) add benchmarks on 1K RPS (#6704) * docs litellm proxy benchmarks * docs GCS bucket * doc fix - reduce clutter on logging doc title * (feat) add cost tracking stable diffusion 3 on Bedrock (#6676) * add cost tracking for sd3 * test_image_generation_bedrock * fix get model info for image cost * add cost_calculator for stability 1 models * add unit testing for bedrock image cost calc * test_cost_calculator_with_no_optional_params * add test_cost_calculator_basic * correctly allow size Optional * fix cost_calculator * sd3 unit tests cost calc * fix raise correct error 404 when /key/info is called on non-existent key (#6653) * fix raise correct error on /key/info * add not_found_error error * fix key not found in DB error * use 1 helper for checking token hash * fix error code on key info * fix test key gen prisma * test_generate_and_call_key_info * test fix test_call_with_valid_model_using_all_models * fix key info tests * bump: version 1.52.4 → 1.52.5 * add defaults used for GCS logging * LiteLLM Minor Fixes & Improvements (11/12/2024) (#6705) * fix(caching): convert arg to equivalent kwargs in llm caching handler prevent unexpected errors * fix(caching_handler.py): don't pass args to caching * fix(caching): remove all *args from caching.py * fix(caching): consistent function signatures + abc method * test(caching_unit_tests.py): add unit tests for llm caching ensures coverage for common caching scenarios across different implementations * refactor(litellm_logging.py): move to using cache key from hidden params instead of regenerating one * fix(router.py): drop redis password requirement * fix(proxy_server.py): fix faulty slack alerting check * fix(langfuse.py): avoid copying functions/thread lock objects in metadata fixes metadata copy error when parent otel span in metadata * test: update test * bump: version 1.52.5 → 1.52.6 * (feat) helm hook to sync db schema (#6715) * v0 migration job * fix job * fix migrations job.yml * handle standalone DB on helm hook * fix argo cd annotations * fix db migration helm hook * fix migration job * doc fix Using Http/2 with Hypercorn * (fix proxy redis) Add redis sentinel support (#6154) * add sentinel_password support * add doc for setting redis sentinel password * fix redis sentinel - use sentinel password * Fix: Update gpt-4o costs to that of gpt-4o-2024-08-06 (#6714) Fixes #6713 * (fix) using Anthropic `response_format={"type": "json_object"}` (#6721) * add support for response_format=json anthropic * add test_json_response_format to baseLLM ChatTest * fix test_litellm_anthropic_prompt_caching_tools * fix test_anthropic_function_call_with_no_schema * test test_create_json_tool_call_for_response_format * (feat) Add cost tracking for Azure Dall-e-3 Image Generation + use base class to ensure basic image generation tests pass (#6716) * add BaseImageGenTest * use 1 class for unit testing * add debugging to BaseImageGenTest * TestAzureOpenAIDalle3 * fix response_cost_calculator * test_basic_image_generation * fix img gen basic test * fix _select_model_name_for_cost_calc * fix test_aimage_generation_bedrock_with_optional_params * fix undo changes cost tracking * fix response_cost_calculator * fix test_cost_azure_gpt_35 * fix remove dup test (#6718) * (build) update db helm hook * (build) helm db pre sync hook * (build) helm db sync hook * test: run test_team_logging firdst --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Dinmukhamed Mailibay <47117969+dinmukhamedm@users.noreply.github.com> Co-authored-by: Kilian Lieret <kilian.lieret@posteo.de> * test: update test * test: skip anthropic overloaded error * test: cleanup test * test: update tests * test: fix test * test: handle gemini overloaded model error * test: handle internal server error * test: handle anthropic overloaded error * test: handle claude instability --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> Co-authored-by: Yuki Watanabe <31463517+B-Step62@users.noreply.github.com> Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Dinmukhamed Mailibay <47117969+dinmukhamedm@users.noreply.github.com> Co-authored-by: Kilian Lieret <kilian.lieret@posteo.de>
375 lines
30 KiB
Markdown
375 lines
30 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">
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<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"></a>
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<a href="https://railway.app/template/HLP0Ub?referralCode=jch2ME">
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<img src="https://railway.app/button.svg" alt="Deploy on Railway">
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</a>
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</p>
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<p align="center">Call all LLM APIs using the OpenAI format [Bedrock, Huggingface, VertexAI, TogetherAI, Azure, OpenAI, Groq 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">LiteLLM Proxy Server (LLM Gateway)</a> | <a href="https://docs.litellm.ai/docs/hosted" target="_blank"> Hosted Proxy (Preview)</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 [LiteLLM Proxy Server (LLM Gateway)](https://docs.litellm.ai/docs/simple_proxy)
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[**Jump to LiteLLM Proxy (LLM Gateway) 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:** Use docker images with the `-stable` tag. These have undergone 12 hour load tests, before being published.
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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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> LiteLLM v1.40.14+ now requires `pydantic>=2.0.0`. No changes required.
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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, MLflow
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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["HELICONE_API_KEY"] = "your-helicone-auth-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", "helicone"] # log input/output to lunary, langfuse, supabase, athina, helicone 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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# LiteLLM Proxy Server (LLM Gateway) - ([Docs](https://docs.litellm.ai/docs/simple_proxy))
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Track spend + Load Balance across multiple projects
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[Hosted Proxy (Preview)](https://docs.litellm.ai/docs/hosted)
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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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> [!IMPORTANT]
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> 💡 [Use LiteLLM Proxy with Langchain (Python, JS), OpenAI SDK (Python, JS) Anthropic SDK, Mistral SDK, LlamaIndex, Instructor, Curl](https://docs.litellm.ai/docs/proxy/user_keys)
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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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Connect the proxy with a Postgres DB to create proxy keys
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```bash
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# Get the code
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git clone https://github.com/BerriAI/litellm
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# Go to folder
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cd litellm
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# Add the master key - you can change this after setup
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echo 'LITELLM_MASTER_KEY="sk-1234"' > .env
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# Add the litellm salt key - you cannot change this after adding a model
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# It is used to encrypt / decrypt your LLM API Key credentials
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# We recommned - https://1password.com/password-generator/
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# password generator to get a random hash for litellm salt key
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echo 'LITELLM_SALT_KEY="sk-1234"' > .env
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source .env
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# Start
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docker-compose up
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```
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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](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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| [empower](https://docs.litellm.ai/docs/providers/empower) | ✅ | ✅ | ✅ | ✅ |
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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) | ✅ | ✅ | ✅ | ✅ | | |
|
||
| [baseten](https://docs.litellm.ai/docs/providers/baseten) | ✅ | ✅ | ✅ | ✅ | | |
|
||
| [vllm](https://docs.litellm.ai/docs/providers/vllm) | ✅ | ✅ | ✅ | ✅ | | |
|
||
| [nlp_cloud](https://docs.litellm.ai/docs/providers/nlp_cloud) | ✅ | ✅ | ✅ | ✅ | | |
|
||
| [aleph alpha](https://docs.litellm.ai/docs/providers/aleph_alpha) | ✅ | ✅ | ✅ | ✅ | | |
|
||
| [petals](https://docs.litellm.ai/docs/providers/petals) | ✅ | ✅ | ✅ | ✅ | | |
|
||
| [ollama](https://docs.litellm.ai/docs/providers/ollama) | ✅ | ✅ | ✅ | ✅ | ✅ | |
|
||
| [deepinfra](https://docs.litellm.ai/docs/providers/deepinfra) | ✅ | ✅ | ✅ | ✅ | | |
|
||
| [perplexity-ai](https://docs.litellm.ai/docs/providers/perplexity) | ✅ | ✅ | ✅ | ✅ | | |
|
||
| [Groq AI](https://docs.litellm.ai/docs/providers/groq) | ✅ | ✅ | ✅ | ✅ | | |
|
||
| [Deepseek](https://docs.litellm.ai/docs/providers/deepseek) | ✅ | ✅ | ✅ | ✅ | | |
|
||
| [anyscale](https://docs.litellm.ai/docs/providers/anyscale) | ✅ | ✅ | ✅ | ✅ | | |
|
||
| [IBM - watsonx.ai](https://docs.litellm.ai/docs/providers/watsonx) | ✅ | ✅ | ✅ | ✅ | ✅ | |
|
||
| [voyage ai](https://docs.litellm.ai/docs/providers/voyage) | | | | | ✅ | |
|
||
| [xinference [Xorbits Inference]](https://docs.litellm.ai/docs/providers/xinference) | | | | | ✅ | |
|
||
| [FriendliAI](https://docs.litellm.ai/docs/providers/friendliai) | ✅ | ✅ | ✅ | ✅ | | |
|
||
|
||
[**Read the Docs**](https://docs.litellm.ai/docs/)
|
||
|
||
## Contributing
|
||
|
||
To contribute: Clone the repo locally -> Make a change -> Submit a PR with the change.
|
||
|
||
Here's how to modify the repo locally:
|
||
Step 1: Clone the repo
|
||
|
||
```
|
||
git clone https://github.com/BerriAI/litellm.git
|
||
```
|
||
|
||
Step 2: Navigate into the project, and install dependencies:
|
||
|
||
```
|
||
cd litellm
|
||
poetry install -E extra_proxy -E proxy
|
||
```
|
||
|
||
Step 3: Test your change:
|
||
|
||
```
|
||
cd litellm/tests # pwd: Documents/litellm/litellm/tests
|
||
poetry run flake8
|
||
poetry run pytest .
|
||
```
|
||
|
||
Step 4: Submit a PR with your changes! 🚀
|
||
|
||
- push your fork to your GitHub repo
|
||
- submit a PR from there
|
||
|
||
### Building LiteLLM Docker Image
|
||
|
||
Follow these instructions if you want to build / run the LiteLLM Docker Image yourself.
|
||
|
||
Step 1: Clone the repo
|
||
|
||
```
|
||
git clone https://github.com/BerriAI/litellm.git
|
||
```
|
||
|
||
Step 2: Build the Docker Image
|
||
|
||
Build using Dockerfile.non_root
|
||
```
|
||
docker build -f docker/Dockerfile.non_root -t litellm_test_image .
|
||
```
|
||
|
||
Step 3: Run the Docker Image
|
||
|
||
Make sure config.yaml is present in the root directory. This is your litellm proxy config file.
|
||
```
|
||
docker run \
|
||
-v $(pwd)/proxy_config.yaml:/app/config.yaml \
|
||
-e DATABASE_URL="postgresql://xxxxxxxx" \
|
||
-e LITELLM_MASTER_KEY="sk-1234" \
|
||
-p 4000:4000 \
|
||
litellm_test_image \
|
||
--config /app/config.yaml --detailed_debug
|
||
```
|
||
|
||
# Enterprise
|
||
For companies that need better security, user management and professional support
|
||
|
||
[Talk to founders](https://calendly.com/d/4mp-gd3-k5k/litellm-1-1-onboarding-chat)
|
||
|
||
This covers:
|
||
- ✅ **Features under the [LiteLLM Commercial License](https://docs.litellm.ai/docs/proxy/enterprise):**
|
||
- ✅ **Feature Prioritization**
|
||
- ✅ **Custom Integrations**
|
||
- ✅ **Professional Support - Dedicated discord + slack**
|
||
- ✅ **Custom SLAs**
|
||
- ✅ **Secure access with Single Sign-On**
|
||
|
||
# Support / talk with founders
|
||
|
||
- [Schedule Demo 👋](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version)
|
||
- [Community Discord 💭](https://discord.gg/wuPM9dRgDw)
|
||
- Our numbers 📞 +1 (770) 8783-106 / +1 (412) 618-6238
|
||
- Our emails ✉️ ishaan@berri.ai / krrish@berri.ai
|
||
|
||
# Why did we build this
|
||
|
||
- **Need for simplicity**: Our code started to get extremely complicated managing & translating calls between Azure, OpenAI and Cohere.
|
||
|
||
# Contributors
|
||
|
||
<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
|
||
<!-- prettier-ignore-start -->
|
||
<!-- markdownlint-disable -->
|
||
|
||
<!-- markdownlint-restore -->
|
||
<!-- prettier-ignore-end -->
|
||
|
||
<!-- ALL-CONTRIBUTORS-LIST:END -->
|
||
|
||
<a href="https://github.com/BerriAI/litellm/graphs/contributors">
|
||
<img src="https://contrib.rocks/image?repo=BerriAI/litellm" />
|
||
</a>
|