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OpenAI-Compatible RESTful APIs & SDK

FastChat provides OpenAI-Compatible APIs for its supported models, so you can use FastChat as a local drop-in replacement for OpenAI APIs. The FastChat server is compatible with both openai-python library and cURL commands.

The following OpenAI APIs are supported:

RESTful API Server

First, launch the controller

python3 -m fastchat.serve.controller

Then, launch the model worker(s)

python3 -m fastchat.serve.model_worker --model-name 'vicuna-7b-v1.1' --model-path /path/to/vicuna/weights

Finally, launch the RESTful API server

python3 -m fastchat.serve.openai_api_server --host localhost --port 8000

Now, let us test the API server.

OpenAI Official SDK

The goal of openai_api_server.py is to implement a fully OpenAI-compatible API server, so the models can be used directly with openai-python library.

First, install openai-python:

pip install --upgrade openai

Then, interact with model vicuna:

import openai
openai.api_key = "EMPTY" # Not support yet
openai.api_base = "http://localhost:8000/v1"

model = "vicuna-7b-v1.1"
prompt = "Once upon a time"

# create a completion
completion = openai.Completion.create(model=model, prompt=prompt, max_tokens=64)
# print the completion
print(prompt + completion.choices[0].text)

# create a chat completion
completion = openai.ChatCompletion.create(
  model=model,
  messages=[{"role": "user", "content": "Hello! What is your name?"}]
)
# print the completion
print(completion.choices[0].message.content)

Streaming is also supported. See test_openai_sdk.py.

cURL

cURL is another good tool for observing the output of the api.

List Models:

curl http://localhost:8000/v1/models

Chat Completions:

curl http://localhost:8000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "vicuna-7b-v1.1",
    "messages": [{"role": "user", "content": "Hello! What is your name?"}]
  }'

Text Completions:

curl http://localhost:8000/v1/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "vicuna-7b-v1.1",
    "prompt": "Once upon a time",
    "max_tokens": 41,
    "temperature": 0.5
  }'

Embeddings:

curl http://localhost:8000/v1/embeddings \
  -H "Content-Type: application/json" \
  -d '{
    "model": "vicuna-7b-v1.1",
    "input": "Hello world!"
  }'

Todos

Some features to be implemented:

  • Support more parameters like logprobs, logit_bias, user, presence_penalty and frequency_penalty
  • Model details (permissions, owner and create time)
  • Edits API
  • Authentication and API key
  • Rate Limitation Settings