Getting Started
Workflows
Features
-
CLI
-
AutoAgents
-
Image Generation
-
Self Reflection Agents
-
RAG Agents
-
Reasoning Extract Agents
-
Reasoning Agents
-
Multimodal Agents
-
LangChain Agents
-
Async Agents
-
Mini AI Agents
-
Generate Reasoning Data
-
Code Agent
-
Math Agent
-
Structured AI Agents
-
Stateful Agents
-
Callbacks Agent
-
Chat with PDF
-
Camera Integration
Models
Monitoring
Developers
Getting Started (No Code)
Models
Mistral
Guide for integrating Mistral AI’s language models with PraisonAI, including API configuration and usage instructions
Add Mistral to Praison AI
No Code
Note: If you want to use Mistral via Ollama, please refer to Ollama document. This is for using Mistral from https://mistral.ai
Using Single Agent
Copy
export OPENAI_API_KEY=xxxxxxxxxx
export OPENAI_MODEL_NAME=mistral-large
export OPENAI_API_BASE="https://api.mistral.ai/v1"
agents.yaml file
Copy
framework: crewai
topic: create movie script about cat in mars
roles:
researcher:
backstory: Skilled in finding and organizing information, with a focus on research
efficiency.
goal: Gather information about Mars and cats
role: Researcher
tasks:
gather_research:
description: Research and gather information about Mars, its environment,
and cats, including their behavior and characteristics.
expected_output: Document with research findings, including interesting facts
and information.
tools:
- ''
PraisonAI Chat | PraisonAI Code | PraisonAI (Multi-Agents) |
---|---|---|
Litellm | Litellm | Models |
Assistant
Responses are generated using AI and may contain mistakes.