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updates TG_AI

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ishaan-jaff
2023-08-17 16:06:32 -07:00
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6 changed files with 51 additions and 33 deletions
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docs/my-website/docs/completion/supported.md
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@@ -1,4 +1,10 @@
# Generation/Completion/Chat Completion Models
# Supported Chat, Completion Models
## API Keys
liteLLM reads keys set in the environment variables or your Key Manager
liteLLM standardizes naming keys in the following format
`PROVIDER_API_KEY` for example `OPENAI_API_KEY` or `TOGETHERAI_API_KEY` or `HUGGINGFACE_API_KEY`. In addition to this liteLLM also allows you to use the provider specificed naming conventions for keys
Example Both `HF_TOKEN` and `HUGGINGFACE_API_KEY` will work for Hugging Face models
### OpenAI Chat Completion Models
@@ -49,6 +55,7 @@ VertexAI requires you to set `application_default_credentials.json`, this can be
| 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']` |
### Hugging Face Inference API
@@ -64,10 +71,10 @@ Here are some examples of supported models:
| Model Name | Function Call | Required OS Variables |
|------------------|-------------------------------------------------------------------------------------|--------------------------------------|
| [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['HF_TOKEN']` |
| [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) | `completion(model="bigcode/starcoder", messages=messages, custom_llm_provider="huggingface")` | `os.environ['HF_TOKEN']` |
| [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['HF_TOKEN']` |
| [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['HF_TOKEN']` |
| [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']` |
| [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) | `completion(model="bigcode/starcoder", messages=messages, custom_llm_provider="huggingface")` | `os.environ['HUGGINGFACE_API_KEY']` |
| [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']` |
| [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']` |
### AI21 Models
| Model Name | Function Call | Required OS Variables |
@@ -82,10 +89,23 @@ Here are some examples of supported models:
|------------------|--------------------------------------------|--------------------------------------|
| command-nightly | `completion('command-nightly', messages)` | `os.environ['COHERE_API_KEY']` |
### BaseTen Models
### 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']` |
### 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 Basten
| Model Name | Function Call | Required OS Variables |
|------------------|--------------------------------------------|------------------------------------|
| Falcon 7B | `completion(model='<your model version id>', messages=messages, custom_llm_provider="baseten")` | `os.environ['BASETEN_API_KEY']` |
@@ -99,13 +119,13 @@ All the text models from [OpenRouter](https://openrouter.ai/docs) are supported
| 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['OR_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['OR_API_KEY']` |
| openai/gpt-4 | `completion('openai/gpt-4', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']` |
| openai/gpt-4-32k | `completion('openai/gpt-4-32k', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']` |
| anthropic/claude-2 | `completion('anthropic/claude-2', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_API_KEY']` |
| anthropic/claude-instant-v1 | `completion('anthropic/claude-instant-v1', messages)` | `os.environ['OR_SITE_URL']`,`os.environ['OR_APP_NAME']`,`os.environ['OR_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['OR_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['OR_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['OR_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['OR_API_KEY']` |
| 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']` |
docs/my-website/docusaurus.config.js
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@@ -80,35 +80,27 @@ const config = {
{
title: 'Community',
items: [
{
label: 'Stack Overflow',
href: 'https://stackoverflow.com/questions/tagged/docusaurus',
},
{
label: 'Discord',
href: 'https://discordapp.com/invite/docusaurus',
href: 'https://discord.com/invite/wuPM9dRgDw',
},
{
label: 'Twitter',
href: 'https://twitter.com/docusaurus',
href: 'https://twitter.com/LiteLLM,
},
],
},
{
title: 'More',
items: [
{
label: 'Blog',
to: '/blog',
},
{
label: 'GitHub',
href: 'https://github.com/facebook/docusaurus',
href: 'https://github.com/BerriAI/litellm/',
},
],
},
],
copyright: `Copyright © ${new Date().getFullYear()} My Project, Inc. Built with Docusaurus.`,
copyright: `Copyright © ${new Date().getFullYear()} liteLLM`,
},
prism: {
theme: lightCodeTheme,
docs/my-website/sidebars.js
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@@ -22,13 +22,18 @@ const sidebars = {
{
type: 'category',
label: 'completion_function',
items: ['completion/input', 'completion/supported','completion/output'],
items: ['completion/input','completion/output'],
},
{
type: 'category',
label: 'embedding_function',
items: ['embedding/supported_embedding'],
},
{
type: 'category',
label: 'Supported Chat, Completion Models',
items: ['completion/supported'],
},
{
type: 'category',
label: 'Tutorials',
litellm/__init__.py
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@@ -17,6 +17,7 @@ vertex_project = None
vertex_location = None
caching = False
hugging_api_token = None
togetherai_api_key = None
model_cost = {
"gpt-3.5-turbo": {"max_tokens": 4000, "input_cost_per_token": 0.0000015, "output_cost_per_token": 0.000002},
"gpt-35-turbo": {"max_tokens": 4000, "input_cost_per_token": 0.0000015, "output_cost_per_token": 0.000002}, # azure model name
litellm/main.py
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@@ -282,9 +282,9 @@ def completion(
response = CustomStreamWrapper(model_response, model, custom_llm_provider="huggingface")
return response
response = model_response
elif custom_llm_provider == "together_ai":
elif custom_llm_provider == "together_ai" or ("togethercomputer" in model):
import requests
TOGETHER_AI_TOKEN = get_secret("TOGETHER_AI_TOKEN") or get_secret("TOGETHERAI_API_KEY")
TOGETHER_AI_TOKEN = get_secret("TOGETHER_AI_TOKEN") or get_secret("TOGETHERAI_API_KEY") or api_key or litellm.togetherai_api_key
headers = {"Authorization": f"Bearer {TOGETHER_AI_TOKEN}"}
endpoint = 'https://api.together.xyz/inference'
prompt = " ".join([message["content"] for message in messages]) # TODO: Add chat support for together AI
litellm/tests/test_completion.py
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@@ -232,7 +232,7 @@ def test_completion_replicate_stability():
def test_completion_together_ai():
model_name = "togethercomputer/llama-2-70b-chat"
try:
response = completion(model=model_name, messages=messages, custom_llm_provider="together_ai")
response = completion(model=model_name, messages=messages)
# Add any assertions here to check the response
print(response)
except Exception as e: