26a0c67bef
* feat: stdout tracer * fix: lower temperature * fix: comment-out APPEND tool * feat: add what i should do * fix: add patch prompt example and write tool outputs written code * feat: stdout tracer * feat: test * fix: prompt * feat: rollback * fix: patch tool --------- Co-authored-by: adldotori <adldotori@gmail.com> |
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api | ||
assets | ||
build | ||
core | ||
static | ||
.dockerignore | ||
.env.example | ||
.gitignore | ||
ansi.py | ||
docker-compose.yml | ||
env.py | ||
logger.py | ||
poetry.lock | ||
pyproject.toml | ||
README.md | ||
utils.py |
EVAL
EVAL(Elastic Versatile Agent with Langchain) will execute all your requests. Like the eval method!
You don't have to think about how. If you tell them the results you want, they'll search, code, run, and test the Internet themselves, and they'll return the final results.
EVAL's FEATURE
- Multimodal Conversation
- It understands and generates data formats for text, image, dataframe, audio (TODO), video (TODO).
- Services
- It can serve services (blocking processes) such as web apps.
- Evolving
- It can create it's own tools by writing, modifying, executing and testing code.
BUILT-IN TOOLS
- Terminal
- SyscallTracer
- Code Editor
- READ: Read and understand file.
- WRITE: Write code to create a new tool.
- PATCH: Correct the error throught the code patch if an error occurs.
- DELETE: Delete code in file for a new start.
- Search
- Google, Bing, Wikipedia
- Custom DB Search (Currently using Corca's Wine Data in https://www.workershop.kr/en)
- Use GPT index to quickly find the information you need in a document and use that information to answer
- Requests.get (Get information from anywhere you want)
- Image Understanding, Generation, Editing
- Image Understanding
- Image Understanding: blip-image-captioning
- Visual Question&Answering: blip-vqa
- Image Generation: Stable Diffusion 1.5
- Image Editing
- Replace or remove an object: Stable Diffusion Inpainting
- Change Image's style: InstructPix2Pix
- Image Understanding
Thanks to LangChain, Visual ChatGPT, llama index.
CUSTOM TOOLS
We also don't know what tools EVAL will create. Every day, It will create the right tools to execute your request.
Usage
- environments settings
docker-compose up -d
Environment
You need to write some environment variables in the .env
file. Refer .env.example if you don't know how to format it.
Mandatory
Manatory envs are required in order to serve EVAL.
OPENAI_API_KEY
- OpenAI api key
Optional
Each optional env has default value, so you don't need to set unless you want to change it.
PORT
- port (default: 8000)SERVER
- server address (default: http://localhost:8000)LOG_LEVEL
- INFO | DEBUG (default: INFO)BOT_NAME
- give it a name! (default: Orca)
For More Tools
Some tools requires environment variables. Set envs depend on which tools you want to use.
- Google search tool
SERPAPI_API_KEY
- Bing search tool
BING_SEARCH_URL
BING_SUBSCRIPTION_KEY
TODO
- memory saving
- session manage
- convert to alpaca
- prompt upgrade
- give a tool to create tools
- etc.
Reference
Thanks to the following repositories.