chainlit-praisonai
Chainlit integration for PraisonAI multi-agent framework.
Installation
pip install chainlit-praisonai
Quick Start
Create app.py:
import chainlit as cl
from chainlit_praisonai import PraisonAIClient
client = PraisonAIClient()
@cl.on_message
async def main(message: cl.Message):
response = await client.run_workflow(message.content)
await cl.Message(content=response).send()
Run:
chainlit run app.py
Using a Specific Agent
from chainlit_praisonai import PraisonAIClient
client = PraisonAIClient()
# Use a specific agent
response = await client.run_agent("Research quantum computing", "researcher")
Configuration
from chainlit_praisonai import PraisonAIClient
client = PraisonAIClient(
api_url="http://localhost:8080",
timeout=300,
)
Prerequisites
Start PraisonAI server:
pip install praisonai
praisonai serve agents.yaml --port 8080
Links
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for chainlit-praisonai 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| chainlit_praisonai-0.1.0.tar.gz | 4.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| chainlit_praisonai-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.3 kB
Release files / chainlit_praisonai-0.1.0.tar.gz
| Download URL | chainlit_praisonai-0.1.0.tar.gz |
|---|---|
| Size | 4.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.11
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Release files / chainlit_praisonai-0.1.0-py3-none-any.whl
| Download URL | chainlit_praisonai-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.11
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