This template creates an agent that transforms a single LLM into a cognitive synergist by engaging in multi-turn self-collaboration with multiple personas. A cognitive synergist refers to an intelligent agent that collaborates with multiple minds, combining their individual strengths and knowledge, to enhance problem-solving and overall performance in complex tasks. By dynamically identifying and simulating different personas based on task inputs, SPP unleashes the potential of cognitive synergy in LLMs.
This template will use the
DuckDuckGo search API.
This template will use
OpenAI by default.
Be sure that
OPENAI_API_KEY is set in your environment.
To use this package, you should first have the LangChain CLI installed:
pip install -U langchain-cli
To create a new LangChain project and install this as the only package, you can do:
langchain app new my-app --package solo-performance-prompting-agent
If you want to add this to an existing project, you can just run:
langchain app add solo-performance-prompting-agent
And add the following code to your
from solo_performance_prompting_agent.agent import agent_executor as solo_performance_prompting_agent_chain
add_routes(app, solo_performance_prompting_agent_chain, path="/solo-performance-prompting-agent")
(Optional) Let's now configure LangSmith. LangSmith will help us trace, monitor and debug LangChain applications. LangSmith is currently in private beta, you can sign up here. If you don't have access, you can skip this section
export LANGCHAIN_PROJECT=<your-project> # if not specified, defaults to "default"
If you are inside this directory, then you can spin up a LangServe instance directly by:
This will start the FastAPI app with a server is running locally at http://localhost:8000
We can see all templates at http://127.0.0.1:8000/docs We can access the playground at http://127.0.0.1:8000/solo-performance-prompting-agent/playground
We can access the template from code with:
from langserve.client import RemoteRunnable
runnable = RemoteRunnable("http://localhost:8000/solo-performance-prompting-agent")