Return usage in the API responses (#166)

swagger v1.6.1
Ettore Di Giacinto 1 year ago committed by GitHub
parent 4eae570ef5
commit c974dad799
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  1. 17
      api/openai.go
  2. 1
      examples/README.md
  3. 33
      examples/langchain-python/README.md
  4. 16
      examples/langchain-python/docker-compose.yaml
  5. 1
      examples/langchain-python/models
  6. 6
      examples/langchain-python/test.py

@ -27,12 +27,19 @@ type ErrorResponse struct {
Error *APIError `json:"error,omitempty"`
}
type OpenAIUsage struct {
PromptTokens int `json:"prompt_tokens"`
CompletionTokens int `json:"completion_tokens"`
TotalTokens int `json:"total_tokens"`
}
type OpenAIResponse struct {
Created int `json:"created,omitempty"`
Object string `json:"object,omitempty"`
ID string `json:"id,omitempty"`
Model string `json:"model,omitempty"`
Choices []Choice `json:"choices,omitempty"`
Created int `json:"created,omitempty"`
Object string `json:"object,omitempty"`
ID string `json:"id,omitempty"`
Model string `json:"model,omitempty"`
Choices []Choice `json:"choices,omitempty"`
Usage OpenAIUsage `json:"usage"`
}
type Choice struct {

@ -7,6 +7,7 @@ Here is a list of projects that can easily be integrated with the LocalAI backen
- [chatbot-ui](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui/) (by [@mkellerman](https://github.com/mkellerman))
- [discord-bot](https://github.com/go-skynet/LocalAI/tree/master/examples/discord-bot/) (by [@mudler](https://github.com/mudler))
- [langchain](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain/) (by [@dave-gray101](https://github.com/dave-gray101))
- [langchain-python](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain-python/) (by [@mudler](https://github.com/mudler))
- [slack-bot](https://github.com/go-skynet/LocalAI/tree/master/examples/slack-bot/) (by [@mudler](https://github.com/mudler))
## Want to contribute?

@ -0,0 +1,33 @@
## Langchain-python
Langchain example from [quickstart](https://python.langchain.com/en/latest/getting_started/getting_started.html).
To interact with langchain, you can just set the `OPENAI_API_BASE` URL and provide a token with a random string.
See the example below:
```
# Clone LocalAI
git clone https://github.com/go-skynet/LocalAI
cd LocalAI/examples/langchain-python
# (optional) Checkout a specific LocalAI tag
# git checkout -b build <TAG>
# Download gpt4all-j to models/
wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
# start with docker-compose
docker-compose up -d --build
pip install langchain
pip install openai
export OPENAI_API_BASE=http://localhost:8080
export OPENAI_API_KEY=sk-
python test.py
# A good company name for a company that makes colorful socks would be "Colorsocks".
```

@ -0,0 +1,16 @@
version: '3.6'
services:
api:
image: quay.io/go-skynet/local-ai:latest
build:
context: ../../
dockerfile: Dockerfile.dev
ports:
- 8080:8080
environment:
- DEBUG=true
- MODELS_PATH=/models
volumes:
- ./models:/models:cached
command: ["/usr/bin/local-ai" ]

@ -0,0 +1 @@
../chatbot-ui/models

@ -0,0 +1,6 @@
from langchain.llms import OpenAI
llm = OpenAI(temperature=0.9,model_name="gpt-3.5-turbo")
text = "What would be a good company name for a company that makes colorful socks?"
print(llm(text))
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