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update supported models docs
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Krrish Dholakia
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# Supported Providers + Models
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## API Keys
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liteLLM reads key naming, all keys should be named in the following format:
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`<PROVIDER>_API_KEY` for example
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* `OPENAI_API_KEY` Provider = OpenAI
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* `TOGETHERAI_API_KEY` Provider = TogetherAI
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* `HUGGINGFACE_API_KEY` Provider = HuggingFace
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### OpenAI Chat Completion Models
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| Model Name | Function Call | Required OS Variables |
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|------------------|----------------------------------------|--------------------------------------|
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| gpt-3.5-turbo | `completion('gpt-3.5-turbo', messages)` | `os.environ['OPENAI_API_KEY']` |
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| gpt-3.5-turbo-0301 | `completion('gpt-3.5-turbo-0301', messages)` | `os.environ['OPENAI_API_KEY']` |
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| gpt-3.5-turbo-0613 | `completion('gpt-3.5-turbo-0613', messages)` | `os.environ['OPENAI_API_KEY']` |
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| gpt-3.5-turbo-16k | `completion('gpt-3.5-turbo-16k', messages)` | `os.environ['OPENAI_API_KEY']` |
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| gpt-3.5-turbo-16k-0613 | `completion('gpt-3.5-turbo-16k-0613', messages)` | `os.environ['OPENAI_API_KEY']` |
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| gpt-4 | `completion('gpt-4', messages)` | `os.environ['OPENAI_API_KEY']` |
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| gpt-4-0314 | `completion('gpt-4-0314', messages)` | `os.environ['OPENAI_API_KEY']` |
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| gpt-4-0613 | `completion('gpt-4-0613', messages)` | `os.environ['OPENAI_API_KEY']` |
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| gpt-4-32k | `completion('gpt-4-32k', messages)` | `os.environ['OPENAI_API_KEY']` |
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| gpt-4-32k-0314 | `completion('gpt-4-32k-0314', messages)` | `os.environ['OPENAI_API_KEY']` |
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| gpt-4-32k-0613 | `completion('gpt-4-32k-0613', messages)` | `os.environ['OPENAI_API_KEY']` |
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These also support the `OPENAI_API_BASE` environment variable, which can be used to specify a custom API endpoint.
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### Azure OpenAI Chat Completion Models
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| Model Name | Function Call | Required OS Variables |
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|------------------|-----------------------------------------|-------------------------------------------|
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| gpt-3.5-turbo | `completion('gpt-3.5-turbo', messages, custom_llm_provider="azure")` | `os.environ['AZURE_API_KEY']`,`os.environ['AZURE_API_BASE']`,`os.environ['AZURE_API_VERSION']` |
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| gpt-4 | `completion('gpt-4', messages, custom_llm_provider="azure")` | `os.environ['AZURE_API_KEY']`,`os.environ['AZURE_API_BASE']`,`os.environ['AZURE_API_VERSION']` |
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### OpenAI Text Completion Models
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| Model Name | Function Call | Required OS Variables |
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|------------------|--------------------------------------------|--------------------------------------|
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| text-davinci-003 | `completion('text-davinci-003', messages)` | `os.environ['OPENAI_API_KEY']` |
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| ada-001 | `completion('ada-001', messages)` | `os.environ['OPENAI_API_KEY']` |
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| curie-001 | `completion('curie-001', messages)` | `os.environ['OPENAI_API_KEY']` |
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| babbage-001 | `completion('babbage-001', messages)` | `os.environ['OPENAI_API_KEY']` |
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| babbage-002 | `completion('ada-001', messages)` | `os.environ['OPENAI_API_KEY']` |
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| davinci-002 | `completion('davinci-002', messages)` | `os.environ['OPENAI_API_KEY']` |
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### Google VertexAI Models
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Sample notebook for calling VertexAI models: https://github.com/BerriAI/litellm/blob/main/cookbook/liteLLM_VertextAI_Example.ipynb
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All calls using Vertex AI require the following parameters:
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* Your Project ID
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`litellm.vertex_project` = "hardy-device-38811" Your Project ID
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* Your Project Location
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`litellm.vertex_location` = "us-central1"
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Authentication:
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VertexAI uses Application Default Credentials, see https://cloud.google.com/docs/authentication/external/set-up-adc for more information on setting this up
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VertexAI requires you to set `application_default_credentials.json`, this can be set by running `gcloud auth application-default login` in your terminal
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| Model Name | Function Call |
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|------------------|----------------------------------------------------------|
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| chat-bison | `completion('chat-bison', messages)` |
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| chat-bison@001 | `completion('chat-bison@001', messages)` |
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| text-bison | `completion('text-bison', messages)` |
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| text-bison@001 | `completion('text-bison@001', messages)` |
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### Anthropic Models
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| Model Name | Function Call | Required OS Variables |
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|------------------|--------------------------------------------|--------------------------------------|
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| claude-instant-1 | `completion('claude-instant-1', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
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| claude-instant-1.2 | `completion('claude-instant-1.2', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
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| claude-2 | `completion('claude-2', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
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### Hugging Face Inference API
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All [`text2text-generation`](https://huggingface.co/models?library=transformers&pipeline_tag=text2text-generation&sort=downloads) and [`text-generation`](https://huggingface.co/models?library=transformers&pipeline_tag=text-generation&sort=downloads) models are supported by liteLLM. You can use any text model from Hugging Face with the following steps:
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* Copy the `model repo` URL from Hugging Face and set it as the `model` parameter in the completion call.
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* Set `hugging_face` parameter to `True`.
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* Make sure to set the hugging face API key
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Here are some examples of supported models:
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**Note that the models mentioned in the table are examples, and you can use any text model available on Hugging Face by following the steps above.**
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| Model Name | Function Call | Required OS Variables |
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|------------------|-------------------------------------------------------------------------------------|--------------------------------------|
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| [stabilityai/stablecode-completion-alpha-3b-4k](https://huggingface.co/stabilityai/stablecode-completion-alpha-3b-4k) | `completion(model="stabilityai/stablecode-completion-alpha-3b-4k", messages=messages, custom_llm_provider="huggingface")` | `os.environ['HUGGINGFACE_API_KEY']` |
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| [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) | `completion(model="bigcode/starcoder", messages=messages, custom_llm_provider="huggingface")` | `os.environ['HUGGINGFACE_API_KEY']` |
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| [google/flan-t5-xxl](https://huggingface.co/google/flan-t5-xxl) | `completion(model="google/flan-t5-xxl", messages=messages, custom_llm_provider="huggingface")` | `os.environ['HUGGINGFACE_API_KEY']` |
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| [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) | `completion(model="google/flan-t5-large", messages=messages, custom_llm_provider="huggingface")` | `os.environ['HUGGINGFACE_API_KEY']` |
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### Replicate Models
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liteLLM supports all replicate LLMs. For replicate models ensure to add a `replicate` prefix to the `model` arg. liteLLM detects it using this arg.
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Below are examples on how to call replicate LLMs using liteLLM
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Model Name | Function Call | Required OS Variables |
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-----------------------------|----------------------------------------------------------------|--------------------------------------|
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replicate/llama-2-70b-chat | `completion('replicate/replicate/llama-2-70b-chat', messages)` | `os.environ['REPLICATE_API_KEY']` |
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a16z-infra/llama-2-13b-chat| `completion('replicate/a16z-infra/llama-2-13b-chat', messages)`| `os.environ['REPLICATE_API_KEY']` |
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joehoover/instructblip-vicuna13b | `completion('replicate/joehoover/instructblip-vicuna13b', messages)` | `os.environ['REPLICATE_API_KEY']` |
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replicate/dolly-v2-12b | `completion('replicate/replicate/dolly-v2-12b', messages)` | `os.environ['REPLICATE_API_KEY']` |
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a16z-infra/llama-2-7b-chat | `completion('replicate/a16z-infra/llama-2-7b-chat', messages)` | `os.environ['REPLICATE_API_KEY']` |
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replicate/vicuna-13b | `completion('replicate/replicate/vicuna-13b', messages)` | `os.environ['REPLICATE_API_KEY']` |
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daanelson/flan-t5-large | `completion('replicate/daanelson/flan-t5-large', messages)` | `os.environ['REPLICATE_API_KEY']` |
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replit/replit-code-v1-3b | `completion('replicate/replit/replit-code-v1-3b', messages)` | `os.environ['REPLICATE_API_KEY']` |
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### AI21 Models
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| Model Name | Function Call | Required OS Variables |
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|------------------|--------------------------------------------|--------------------------------------|
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| j2-light | `completion('j2-light', messages)` | `os.environ['AI21_API_KEY']` |
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| j2-mid | `completion('j2-mid', messages)` | `os.environ['AI21_API_KEY']` |
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| j2-ultra | `completion('j2-ultra', messages)` | `os.environ['AI21_API_KEY']` |
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### Cohere Models
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| Model Name | Function Call | Required OS Variables |
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|------------------|--------------------------------------------|--------------------------------------|
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| command-nightly | `completion('command-nightly', messages)` | `os.environ['COHERE_API_KEY']` |
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### Together AI Models
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liteLLM supports `non-streaming` and `streaming` requests to all models on https://api.together.xyz/
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Example TogetherAI Usage - Note: liteLLM supports all models deployed on TogetherAI
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| Model Name | Function Call | Required OS Variables |
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|-----------------------------------|------------------------------------------------------------------------|---------------------------------|
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| togethercomputer/llama-2-70b-chat | `completion('togethercomputer/llama-2-70b-chat', messages)` | `os.environ['TOGETHERAI_API_KEY']` |
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| togethercomputer/LLaMA-2-13b-chat | `completion('togethercomputer/LLaMA-2-13b-chat', messages)` | `os.environ['TOGETHERAI_API_KEY']` |
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| togethercomputer/code-and-talk-v1 | `completion('togethercomputer/code-and-talk-v1', messages)` | `os.environ['TOGETHERAI_API_KEY']` |
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| togethercomputer/creative-v1 | `completion('togethercomputer/creative-v1', messages)` | `os.environ['TOGETHERAI_API_KEY']` |
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| togethercomputer/yourmodel | `completion('togethercomputer/yourmodel', messages)` | `os.environ['TOGETHERAI_API_KEY']` |
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### AWS Sagemaker Models
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https://aws.amazon.com/sagemaker/ Use liteLLM to easily call custom LLMs on Sagemaker
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#### Requirements using Sagemaker with LiteLLM
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* `pip install boto3`
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* Set the following AWS credentials as .env variables (Sagemaker auth: https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html)
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* AWS_ACCESS_KEY_ID
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* AWS_SECRET_ACCESS_KEY
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* AWS_REGION_NAME
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| Model Name | Function Call | Required OS Variables |
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|------------------|--------------------------------------------|------------------------------------|
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| Llama2 7B | `completion(model='sagemaker/jumpstart-dft-meta-textgeneration-llama-2-7b, messages=messages)` | `os.environ['AWS_ACCESS_KEY_ID']`, `os.environ['AWS_SECRET_ACCESS_KEY']`, `os.environ['AWS_REGION_NAME']` |
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| Custom LLM Endpoint | `completion(model='sagemaker/your-endpoint, messages=messages)` | `os.environ['AWS_ACCESS_KEY_ID']`, `os.environ['AWS_SECRET_ACCESS_KEY']`, `os.environ['AWS_REGION_NAME']` |
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### Aleph Alpha Models
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https://www.aleph-alpha.com/
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| Model Name | Function Call | Required OS Variables |
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|------------------|--------------------------------------------|------------------------------------|
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| luminous-base | `completion(model='luminous-base', messages=messages)` | `os.environ['ALEPHALPHA_API_KEY']` |
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| luminous-extended | `completion(model='luminous-extended', messages=messages)` | `os.environ['ALEPHALPHA_API_KEY']` |
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| luminous-supreme | `completion(model='luminous-supreme', messages=messages)` | `os.environ['ALEPHALPHA_API_KEY']` |
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| luminous-base-control | `completion(model='luminous-base-control', messages=messages)` | `os.environ['ALEPHALPHA_API_KEY']` |
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| luminous-extended-control | `completion(model='luminous-extended-control', messages=messages)` | `os.environ['ALEPHALPHA_API_KEY']` |
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| luminous-supreme-control | `completion(model='luminous-supreme-control', messages=messages)` | `os.environ['ALEPHALPHA_API_KEY']` |
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### Baseten Models
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Baseten provides infrastructure to deploy and serve ML models https://www.baseten.co/. Use liteLLM to easily call models deployed on Baseten.
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Example Baseten Usage - Note: liteLLM supports all models deployed on Baseten
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Usage: Pass `model=baseten/<Model ID>`
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| Model Name | Function Call | Required OS Variables |
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|------------------|--------------------------------------------|------------------------------------|
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| Falcon 7B | `completion(model='baseten/qvv0xeq', messages=messages)` | `os.environ['BASETEN_API_KEY']` |
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| Wizard LM | `completion(model='baseten/q841o8w', messages=messages)` | `os.environ['BASETEN_API_KEY']` |
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| MPT 7B Base | `completion(model='baseten/31dxrj3', messages=messages)` | `os.environ['BASETEN_API_KEY']` |
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### OpenRouter Completion Models
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All the text models from [OpenRouter](https://openrouter.ai/docs) are supported by liteLLM.
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| Model Name | Function Call | Required OS Variables |
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|------------------|--------------------------------------------|--------------------------------------|
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| openai/gpt-3.5-turbo | `completion('openai/gpt-3.5-turbo', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
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| openai/gpt-3.5-turbo-16k | `completion('openai/gpt-3.5-turbo-16k', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
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| openai/gpt-4 | `completion('openai/gpt-4', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
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| openai/gpt-4-32k | `completion('openai/gpt-4-32k', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
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| anthropic/claude-2 | `completion('anthropic/claude-2', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
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| anthropic/claude-instant-v1 | `completion('anthropic/claude-instant-v1', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
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| google/palm-2-chat-bison | `completion('google/palm-2-chat-bison', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
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| google/palm-2-codechat-bison | `completion('google/palm-2-codechat-bison', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
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| meta-llama/llama-2-13b-chat | `completion('meta-llama/llama-2-13b-chat', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
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| meta-llama/llama-2-70b-chat | `completion('meta-llama/llama-2-70b-chat', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
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### Petals Models
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Supported models on https://chat.petals.dev/
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| Model Name | Function Call | Required OS Variables |
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|----------------------|------------------------------------------------------------------------|--------------------------------|
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| stabilityai/StableBeluga2 | `completion(model='stabilityai/StableBeluga2', messages, custom_llm_provider="petals")` | No API Key required |
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| enoch/llama-65b-hf | `completion(model='enoch/llama-65b-hf', messages, custom_llm_provider="petals")` | No API Key required |
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| bigscience/bloomz | `completion(model='bigscience/bloomz', messages, custom_llm_provider="petals")` | No API Key required |
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### Ollama Models
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Ollama supported models: https://github.com/jmorganca/ollama
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| Model Name | Function Call | Required OS Variables |
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|----------------------|-----------------------------------------------------------------------------------|--------------------------------|
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| Llama2 7B | `completion(model='llama2', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
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| Llama2 13B | `completion(model='llama2:13b', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
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| Llama2 70B | `completion(model='llama2:70b', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
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| Llama2 Uncensored | `completion(model='llama2-uncensored', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
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| Orca Mini | `completion(model='orca-mini', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
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| Vicuna | `completion(model='vicuna', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
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| Nous-Hermes | `completion(model='nous-hermes', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
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| Nous-Hermes 13B | `completion(model='nous-hermes:13b', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
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| Wizard Vicuna Uncensored | `completion(model='wizard-vicuna', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
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19
docs/my-website/docs/providers/ai21.md
Normal file
19
docs/my-website/docs/providers/ai21.md
Normal file
|
|
@ -0,0 +1,19 @@
|
||||||
|
# AI21
|
||||||
|
|
||||||
|
LiteLLM supports j2-light, j2-mid and j2-ultra from [AI21](https://www.ai21.com/studio/pricing).
|
||||||
|
|
||||||
|
They're available to use without a waitlist.
|
||||||
|
|
||||||
|
### API KEYS
|
||||||
|
```python
|
||||||
|
import os
|
||||||
|
os.environ["AI21_API_KEY"] = ""
|
||||||
|
```
|
||||||
|
|
||||||
|
### AI21 Models
|
||||||
|
|
||||||
|
| Model Name | Function Call | Required OS Variables |
|
||||||
|
|------------------|--------------------------------------------|--------------------------------------|
|
||||||
|
| j2-light | `completion('j2-light', messages)` | `os.environ['AI21_API_KEY']` |
|
||||||
|
| j2-mid | `completion('j2-mid', messages)` | `os.environ['AI21_API_KEY']` |
|
||||||
|
| j2-ultra | `completion('j2-ultra', messages)` | `os.environ['AI21_API_KEY']` |
|
||||||
23
docs/my-website/docs/providers/aleph_alpha.md
Normal file
23
docs/my-website/docs/providers/aleph_alpha.md
Normal file
|
|
@ -0,0 +1,23 @@
|
||||||
|
# Aleph Alpha
|
||||||
|
|
||||||
|
LiteLLM supports the 'luminous' + 'luminous-control' series of models from [Aleph Alpha](https://www.aleph-alpha.com/).
|
||||||
|
|
||||||
|
Like AI21 and Cohere, you can use these models without a waitlist.
|
||||||
|
|
||||||
|
### API KEYS
|
||||||
|
```python
|
||||||
|
import os
|
||||||
|
os.environ["ALEPHALPHA_API_KEY"] = ""
|
||||||
|
```
|
||||||
|
|
||||||
|
### Aleph Alpha Models
|
||||||
|
https://www.aleph-alpha.com/
|
||||||
|
|
||||||
|
| Model Name | Function Call | Required OS Variables |
|
||||||
|
|------------------|--------------------------------------------|------------------------------------|
|
||||||
|
| luminous-base | `completion(model='luminous-base', messages=messages)` | `os.environ['ALEPHALPHA_API_KEY']` |
|
||||||
|
| luminous-base-control | `completion(model='luminous-base-control', messages=messages)` | `os.environ['ALEPHALPHA_API_KEY']` |
|
||||||
|
| luminous-extended | `completion(model='luminous-extended', messages=messages)` | `os.environ['ALEPHALPHA_API_KEY']` |
|
||||||
|
| luminous-extended-control | `completion(model='luminous-extended-control', messages=messages)` | `os.environ['ALEPHALPHA_API_KEY']` |
|
||||||
|
| luminous-supreme | `completion(model='luminous-supreme', messages=messages)` | `os.environ['ALEPHALPHA_API_KEY']` |
|
||||||
|
| luminous-supreme-control | `completion(model='luminous-supreme-control', messages=messages)` | `os.environ['ALEPHALPHA_API_KEY']` |
|
||||||
18
docs/my-website/docs/providers/anthropic.md
Normal file
18
docs/my-website/docs/providers/anthropic.md
Normal file
|
|
@ -0,0 +1,18 @@
|
||||||
|
# Anthropic
|
||||||
|
LiteLLM supports Claude-1, 1.2 and Claude-2.
|
||||||
|
|
||||||
|
### API KEYS
|
||||||
|
```
|
||||||
|
import os
|
||||||
|
|
||||||
|
os.environ["ANTHROPIC_API_KEY"] = ""
|
||||||
|
```
|
||||||
|
|
||||||
|
|
||||||
|
### Model Details
|
||||||
|
|
||||||
|
| Model Name | Function Call | Required OS Variables |
|
||||||
|
|------------------|--------------------------------------------|--------------------------------------|
|
||||||
|
| claude-instant-1 | `completion('claude-instant-1', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
|
||||||
|
| claude-instant-1.2 | `completion('claude-instant-1.2', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
|
||||||
|
| claude-2 | `completion('claude-2', messages)` | `os.environ['ANTHROPIC_API_KEY']` |
|
||||||
19
docs/my-website/docs/providers/aws_sagemaker.md
Normal file
19
docs/my-website/docs/providers/aws_sagemaker.md
Normal file
|
|
@ -0,0 +1,19 @@
|
||||||
|
# AWS Sagemaker
|
||||||
|
LiteLLM supports Llama2 on Sagemaker
|
||||||
|
|
||||||
|
### API KEYS
|
||||||
|
```python
|
||||||
|
!pip install boto3
|
||||||
|
|
||||||
|
os.environ["AWS_ACCESS_KEY_ID"] = ""
|
||||||
|
os.environ["AWS_SECRET_ACCESS_KEY"] = ""
|
||||||
|
os.environ["AWS_REGION_NAME"] = ""
|
||||||
|
```
|
||||||
|
|
||||||
|
### AWS Sagemaker Models
|
||||||
|
Here's an example of using a sagemaker model with LiteLLM
|
||||||
|
|
||||||
|
| Model Name | Function Call | Required OS Variables |
|
||||||
|
|------------------|--------------------------------------------|------------------------------------|
|
||||||
|
| Llama2 7B | `completion(model='sagemaker/jumpstart-dft-meta-textgeneration-llama-2-7b, messages=messages)` | `os.environ['AWS_ACCESS_KEY_ID']`, `os.environ['AWS_SECRET_ACCESS_KEY']`, `os.environ['AWS_REGION_NAME']` |
|
||||||
|
| Custom LLM Endpoint | `completion(model='sagemaker/your-endpoint, messages=messages)` | `os.environ['AWS_ACCESS_KEY_ID']`, `os.environ['AWS_SECRET_ACCESS_KEY']`, `os.environ['AWS_REGION_NAME']` |
|
||||||
32
docs/my-website/docs/providers/azure.md
Normal file
32
docs/my-website/docs/providers/azure.md
Normal file
|
|
@ -0,0 +1,32 @@
|
||||||
|
# Azure
|
||||||
|
LiteLLM supports Azure Chat + Embedding calls.
|
||||||
|
|
||||||
|
### API KEYS
|
||||||
|
```
|
||||||
|
import os
|
||||||
|
|
||||||
|
os.environ["AZURE_API_KEY"] = ""
|
||||||
|
os.environ["AZURE_API_BASE"] = ""
|
||||||
|
os.environ["AZURE_API_VERSION"] = ""
|
||||||
|
```
|
||||||
|
|
||||||
|
|
||||||
|
### Azure OpenAI Chat Completion Models
|
||||||
|
|
||||||
|
```python
|
||||||
|
|
||||||
|
from litellm import completion
|
||||||
|
|
||||||
|
## set ENV variables
|
||||||
|
os.environ["OPENAI_API_KEY"] = "openai key"
|
||||||
|
os.environ["AZURE_API_KEY"] = "azure key"
|
||||||
|
|
||||||
|
|
||||||
|
messages = [{ "content": "Hello, how are you?","role": "user"}]
|
||||||
|
|
||||||
|
# openai call
|
||||||
|
response = completion(model="gpt-3.5-turbo", messages=messages)
|
||||||
|
|
||||||
|
# azure call
|
||||||
|
response = completion("azure/<your_deployment_id>", messages)
|
||||||
|
```
|
||||||
23
docs/my-website/docs/providers/baseten.md
Normal file
23
docs/my-website/docs/providers/baseten.md
Normal file
|
|
@ -0,0 +1,23 @@
|
||||||
|
# Baseten
|
||||||
|
LiteLLM supports any Text-Gen-Interface models on Baseten.
|
||||||
|
|
||||||
|
[Here's a tutorial on deploying a huggingface TGI model (Llama2, CodeLlama, WizardCoder, Falcon, etc.) on Baseten](https://truss.baseten.co/examples/performance/tgi-server)
|
||||||
|
|
||||||
|
### API KEYS
|
||||||
|
```python
|
||||||
|
import os
|
||||||
|
os.environ["BASETEN_API_KEY"] = ""
|
||||||
|
```
|
||||||
|
|
||||||
|
### Baseten Models
|
||||||
|
Baseten provides infrastructure to deploy and serve ML models https://www.baseten.co/. Use liteLLM to easily call models deployed on Baseten.
|
||||||
|
|
||||||
|
Example Baseten Usage - Note: liteLLM supports all models deployed on Baseten
|
||||||
|
|
||||||
|
Usage: Pass `model=baseten/<Model ID>`
|
||||||
|
|
||||||
|
| Model Name | Function Call | Required OS Variables |
|
||||||
|
|------------------|--------------------------------------------|------------------------------------|
|
||||||
|
| Falcon 7B | `completion(model='baseten/qvv0xeq', messages=messages)` | `os.environ['BASETEN_API_KEY']` |
|
||||||
|
| Wizard LM | `completion(model='baseten/q841o8w', messages=messages)` | `os.environ['BASETEN_API_KEY']` |
|
||||||
|
| MPT 7B Base | `completion(model='baseten/31dxrj3', messages=messages)` | `os.environ['BASETEN_API_KEY']` |
|
||||||
32
docs/my-website/docs/providers/cohere.md
Normal file
32
docs/my-website/docs/providers/cohere.md
Normal file
|
|
@ -0,0 +1,32 @@
|
||||||
|
# Cohere
|
||||||
|
|
||||||
|
LiteLLM supports 'command', 'command-light', 'command-medium', 'command-medium-beta', 'command-xlarge-beta', 'command-nightly' models from [Cohere](https://cohere.com/).
|
||||||
|
|
||||||
|
Like AI21, these models are available without a waitlist.
|
||||||
|
|
||||||
|
### API KEYS
|
||||||
|
|
||||||
|
```python
|
||||||
|
import os
|
||||||
|
os.environ["COHERE_API_KEY"] = ""
|
||||||
|
```
|
||||||
|
|
||||||
|
### Example Usage
|
||||||
|
|
||||||
|
```python
|
||||||
|
|
||||||
|
from litellm import completion
|
||||||
|
|
||||||
|
## set ENV variables
|
||||||
|
os.environ["OPENAI_API_KEY"] = "openai key"
|
||||||
|
os.environ["COHERE_API_KEY"] = "cohere key"
|
||||||
|
|
||||||
|
|
||||||
|
messages = [{ "content": "Hello, how are you?","role": "user"}]
|
||||||
|
|
||||||
|
# openai call
|
||||||
|
response = completion(model="gpt-3.5-turbo", messages=messages)
|
||||||
|
|
||||||
|
# cohere call
|
||||||
|
response = completion("command-nightly", messages)
|
||||||
|
```
|
||||||
17
docs/my-website/docs/providers/ollama.md
Normal file
17
docs/my-website/docs/providers/ollama.md
Normal file
|
|
@ -0,0 +1,17 @@
|
||||||
|
# Ollama
|
||||||
|
LiteLLM supports all models from [Ollama](https://github.com/jmorganca/ollama)
|
||||||
|
|
||||||
|
### Ollama Models
|
||||||
|
Ollama supported models: https://github.com/jmorganca/ollama
|
||||||
|
|
||||||
|
| Model Name | Function Call | Required OS Variables |
|
||||||
|
|----------------------|-----------------------------------------------------------------------------------|--------------------------------|
|
||||||
|
| Llama2 7B | `completion(model='llama2', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
|
||||||
|
| Llama2 13B | `completion(model='llama2:13b', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
|
||||||
|
| Llama2 70B | `completion(model='llama2:70b', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
|
||||||
|
| Llama2 Uncensored | `completion(model='llama2-uncensored', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
|
||||||
|
| Orca Mini | `completion(model='orca-mini', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
|
||||||
|
| Vicuna | `completion(model='vicuna', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
|
||||||
|
| Nous-Hermes | `completion(model='nous-hermes', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
|
||||||
|
| Nous-Hermes 13B | `completion(model='nous-hermes:13b', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
|
||||||
|
| Wizard Vicuna Uncensored | `completion(model='wizard-vicuna', messages, api_base="http://localhost:11434", custom_llm_provider="ollama", stream=True)` | No API Key required |
|
||||||
38
docs/my-website/docs/providers/openai.md
Normal file
38
docs/my-website/docs/providers/openai.md
Normal file
|
|
@ -0,0 +1,38 @@
|
||||||
|
# OpenAI
|
||||||
|
LiteLLM supports OpenAI Chat + Text completion and embedding calls.
|
||||||
|
|
||||||
|
### API KEYS
|
||||||
|
```
|
||||||
|
import os
|
||||||
|
|
||||||
|
os.environ["OPENAI_API_KEY"] = ""
|
||||||
|
```
|
||||||
|
|
||||||
|
### OpenAI Chat Completion Models
|
||||||
|
|
||||||
|
| Model Name | Function Call | Required OS Variables |
|
||||||
|
|------------------|----------------------------------------|--------------------------------------|
|
||||||
|
| gpt-3.5-turbo | `completion('gpt-3.5-turbo', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
| gpt-3.5-turbo-0301 | `completion('gpt-3.5-turbo-0301', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
| gpt-3.5-turbo-0613 | `completion('gpt-3.5-turbo-0613', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
| gpt-3.5-turbo-16k | `completion('gpt-3.5-turbo-16k', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
| gpt-3.5-turbo-16k-0613 | `completion('gpt-3.5-turbo-16k-0613', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
| gpt-4 | `completion('gpt-4', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
| gpt-4-0314 | `completion('gpt-4-0314', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
| gpt-4-0613 | `completion('gpt-4-0613', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
| gpt-4-32k | `completion('gpt-4-32k', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
| gpt-4-32k-0314 | `completion('gpt-4-32k-0314', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
| gpt-4-32k-0613 | `completion('gpt-4-32k-0613', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
|
||||||
|
These also support the `OPENAI_API_BASE` environment variable, which can be used to specify a custom API endpoint.
|
||||||
|
|
||||||
|
### OpenAI Text Completion Models
|
||||||
|
|
||||||
|
| Model Name | Function Call | Required OS Variables |
|
||||||
|
|------------------|--------------------------------------------|--------------------------------------|
|
||||||
|
| text-davinci-003 | `completion('text-davinci-003', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
| ada-001 | `completion('ada-001', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
| curie-001 | `completion('curie-001', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
| babbage-001 | `completion('babbage-001', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
| babbage-002 | `completion('ada-001', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
|
| davinci-002 | `completion('davinci-002', messages)` | `os.environ['OPENAI_API_KEY']` |
|
||||||
24
docs/my-website/docs/providers/openrouter.md
Normal file
24
docs/my-website/docs/providers/openrouter.md
Normal file
|
|
@ -0,0 +1,24 @@
|
||||||
|
# OpenRouter
|
||||||
|
LiteLLM supports all the text models from [OpenRouter](https://openrouter.ai/docs)
|
||||||
|
|
||||||
|
### API KEYS
|
||||||
|
|
||||||
|
```python
|
||||||
|
import os
|
||||||
|
os.environ["OPENROUTER_API_KEYS"] = ""
|
||||||
|
```
|
||||||
|
|
||||||
|
### OpenRouter Completion Models
|
||||||
|
|
||||||
|
| Model Name | Function Call | Required OS Variables |
|
||||||
|
|------------------|--------------------------------------------|--------------------------------------|
|
||||||
|
| openai/gpt-3.5-turbo | `completion('openai/gpt-3.5-turbo', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
|
||||||
|
| openai/gpt-3.5-turbo-16k | `completion('openai/gpt-3.5-turbo-16k', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
|
||||||
|
| openai/gpt-4 | `completion('openai/gpt-4', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
|
||||||
|
| openai/gpt-4-32k | `completion('openai/gpt-4-32k', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
|
||||||
|
| anthropic/claude-2 | `completion('anthropic/claude-2', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
|
||||||
|
| anthropic/claude-instant-v1 | `completion('anthropic/claude-instant-v1', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
|
||||||
|
| google/palm-2-chat-bison | `completion('google/palm-2-chat-bison', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
|
||||||
|
| google/palm-2-codechat-bison | `completion('google/palm-2-codechat-bison', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
|
||||||
|
| meta-llama/llama-2-13b-chat | `completion('meta-llama/llama-2-13b-chat', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
|
||||||
|
| meta-llama/llama-2-70b-chat | `completion('meta-llama/llama-2-70b-chat', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OPENROUTER_API_KEY']` |
|
||||||
25
docs/my-website/docs/providers/replicate.md
Normal file
25
docs/my-website/docs/providers/replicate.md
Normal file
|
|
@ -0,0 +1,25 @@
|
||||||
|
# Replicate
|
||||||
|
|
||||||
|
LiteLLM supports all models on Replicate
|
||||||
|
|
||||||
|
### API KEYS
|
||||||
|
```python
|
||||||
|
import os
|
||||||
|
os.environ["REPLICATE_API_KEY"] = ""
|
||||||
|
```
|
||||||
|
|
||||||
|
|
||||||
|
### Replicate Models
|
||||||
|
liteLLM supports all replicate LLMs. For replicate models ensure to add a `replicate` prefix to the `model` arg. liteLLM detects it using this arg.
|
||||||
|
Below are examples on how to call replicate LLMs using liteLLM
|
||||||
|
|
||||||
|
Model Name | Function Call | Required OS Variables |
|
||||||
|
-----------------------------|----------------------------------------------------------------|--------------------------------------|
|
||||||
|
replicate/llama-2-70b-chat | `completion('replicate/replicate/llama-2-70b-chat', messages)` | `os.environ['REPLICATE_API_KEY']` |
|
||||||
|
a16z-infra/llama-2-13b-chat| `completion('replicate/a16z-infra/llama-2-13b-chat', messages)`| `os.environ['REPLICATE_API_KEY']` |
|
||||||
|
joehoover/instructblip-vicuna13b | `completion('replicate/joehoover/instructblip-vicuna13b', messages)` | `os.environ['REPLICATE_API_KEY']` |
|
||||||
|
replicate/dolly-v2-12b | `completion('replicate/replicate/dolly-v2-12b', messages)` | `os.environ['REPLICATE_API_KEY']` |
|
||||||
|
a16z-infra/llama-2-7b-chat | `completion('replicate/a16z-infra/llama-2-7b-chat', messages)` | `os.environ['REPLICATE_API_KEY']` |
|
||||||
|
replicate/vicuna-13b | `completion('replicate/replicate/vicuna-13b', messages)` | `os.environ['REPLICATE_API_KEY']` |
|
||||||
|
daanelson/flan-t5-large | `completion('replicate/daanelson/flan-t5-large', messages)` | `os.environ['REPLICATE_API_KEY']` |
|
||||||
|
replit/replit-code-v1-3b | `completion('replicate/replit/replit-code-v1-3b', messages)` | `os.environ['REPLICATE_API_KEY']` |
|
||||||
22
docs/my-website/docs/providers/togetherai.md
Normal file
22
docs/my-website/docs/providers/togetherai.md
Normal file
|
|
@ -0,0 +1,22 @@
|
||||||
|
# Together AI
|
||||||
|
LiteLLM supports all models on Together AI.
|
||||||
|
|
||||||
|
### API KEYS
|
||||||
|
|
||||||
|
```python
|
||||||
|
import os
|
||||||
|
os.environ["TOGETHERAI_API_KEY"] = ""
|
||||||
|
```
|
||||||
|
|
||||||
|
### Together AI Models
|
||||||
|
liteLLM supports `non-streaming` and `streaming` requests to all models on https://api.together.xyz/
|
||||||
|
|
||||||
|
Example TogetherAI Usage - Note: liteLLM supports all models deployed on TogetherAI
|
||||||
|
|
||||||
|
| Model Name | Function Call | Required OS Variables |
|
||||||
|
|-----------------------------------|------------------------------------------------------------------------|---------------------------------|
|
||||||
|
| togethercomputer/llama-2-70b-chat | `completion('togethercomputer/llama-2-70b-chat', messages)` | `os.environ['TOGETHERAI_API_KEY']` |
|
||||||
|
| togethercomputer/LLaMA-2-13b-chat | `completion('togethercomputer/LLaMA-2-13b-chat', messages)` | `os.environ['TOGETHERAI_API_KEY']` |
|
||||||
|
| togethercomputer/code-and-talk-v1 | `completion('togethercomputer/code-and-talk-v1', messages)` | `os.environ['TOGETHERAI_API_KEY']` |
|
||||||
|
| togethercomputer/creative-v1 | `completion('togethercomputer/creative-v1', messages)` | `os.environ['TOGETHERAI_API_KEY']` |
|
||||||
|
| togethercomputer/yourmodel | `completion('togethercomputer/yourmodel', messages)` | `os.environ['TOGETHERAI_API_KEY']` |
|
||||||
24
docs/my-website/docs/providers/vertex.md
Normal file
24
docs/my-website/docs/providers/vertex.md
Normal file
|
|
@ -0,0 +1,24 @@
|
||||||
|
# Google Palm/VertexAI
|
||||||
|
LiteLLM supports chat-bison, chat-bison@001, text-bison, text-bison@001
|
||||||
|
|
||||||
|
### Google VertexAI Models
|
||||||
|
Sample notebook for calling VertexAI models: https://github.com/BerriAI/litellm/blob/main/cookbook/liteLLM_VertextAI_Example.ipynb
|
||||||
|
|
||||||
|
All calls using Vertex AI require the following parameters:
|
||||||
|
* Your Project ID
|
||||||
|
`litellm.vertex_project` = "hardy-device-38811" Your Project ID
|
||||||
|
* Your Project Location
|
||||||
|
`litellm.vertex_location` = "us-central1"
|
||||||
|
|
||||||
|
Authentication:
|
||||||
|
VertexAI uses Application Default Credentials, see https://cloud.google.com/docs/authentication/external/set-up-adc for more information on setting this up
|
||||||
|
|
||||||
|
VertexAI requires you to set `application_default_credentials.json`, this can be set by running `gcloud auth application-default login` in your terminal
|
||||||
|
|
||||||
|
| Model Name | Function Call |
|
||||||
|
|------------------|----------------------------------------------------------|
|
||||||
|
| chat-bison | `completion('chat-bison', messages)` |
|
||||||
|
| chat-bison@001 | `completion('chat-bison@001', messages)` |
|
||||||
|
| text-bison | `completion('text-bison', messages)` |
|
||||||
|
| text-bison@001 | `completion('text-bison@001', messages)` |
|
||||||
|
|
||||||
|
|
@ -29,18 +29,17 @@ const sidebars = {
|
||||||
label: "Embedding()",
|
label: "Embedding()",
|
||||||
items: ["embedding/supported_embedding"],
|
items: ["embedding/supported_embedding"],
|
||||||
},
|
},
|
||||||
'completion/supported',
|
{
|
||||||
// {
|
type: "category",
|
||||||
// type: "category",
|
label: "Supported Models + Providers",
|
||||||
// label: "Providers",
|
link: {
|
||||||
// link: {
|
type: 'generated-index',
|
||||||
// type: 'generated-index',
|
title: 'Providers',
|
||||||
// title: 'Providers',
|
description: 'Learn how to deploy + call models from different providers on LiteLLM',
|
||||||
// description: 'Learn how to deploy + call models from different providers on LiteLLM',
|
slug: '/providers',
|
||||||
// slug: '/providers',
|
},
|
||||||
// },
|
items: ["providers/huggingface", "providers/openai", "providers/azure", "providers/vertex", "providers/anthropic", "providers/ai21", "providers/replicate", "providers/cohere", "providers/togetherai", "providers/aws_sagemaker", "providers/aleph_alpha", "providers/baseten", "providers/openrouter", "providers/ollama"]
|
||||||
// items: ["providers/huggingface"],
|
},
|
||||||
// },
|
|
||||||
"token_usage",
|
"token_usage",
|
||||||
"exception_mapping",
|
"exception_mapping",
|
||||||
'debugging/local_debugging',
|
'debugging/local_debugging',
|
||||||
|
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue