Getting Started
Workflows
Features
Models
Monitoring
Developers
Getting Started (No Code)
Models
Ollama
Instructions for integrating Ollama’s open-source language models with PraisonAI, including configuration and usage examples
Add Ollama to Praison AI
Code
Standard OpenAI SDK Environment Variables (Recommended):
export OPENAI_BASE_URL=http://localhost:11434/v1
export MODEL_NAME=deepseek-r1:14b
export OPENAI_API_KEY=NAAlternative Environment Variable Patterns:
# Community recommended pattern
export OLLAMA_API_BASE=http://localhost:11434
export MODEL_NAME=gemma3:4b
export OPENAI_API_KEY=fake-key
# Legacy pattern (still supported)
export OPENAI_API_BASE=http://localhost:11434/v1
export OPENAI_MODEL_NAME=llama2
export OPENAI_API_KEY=not-neededUsage with praisonai —init:
# Make sure Ollama is running
ollama serve
# Pull your desired model
ollama pull deepseek-r1:14b
# Set environment variables
export OPENAI_BASE_URL=http://localhost:11434/v1
export MODEL_NAME=deepseek-r1:14b
export OPENAI_API_KEY=NA
# Initialize agents
praisonai --init "Create a story about AI"No Code
agents.yaml file
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
llm:
model: "ollama/llama3"
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.