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* Reorganize repo structure and upgrade to CrewAI 0.152.0 * chore(gitignore): ignore Python bytecode and __pycache__ across templates * chore(gitignore): ignore Python bytecode and __pycache__ across templates; clean tracked artifacts * Update crews/instagram_post/pyproject.toml Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
CrewAI Integrations Examples
This directory contains examples demonstrating how to integrate CrewAI with other frameworks, platforms, and model providers.
Examples in this Directory
1. CrewAI-LangGraph
Integration between CrewAI and LangGraph for advanced workflow orchestration:
- Combines CrewAI's agent capabilities with LangGraph's graph-based execution
- Demonstrates state management across frameworks
- Shows how to leverage both tools' strengths
2. Azure Model
Using CrewAI with Azure OpenAI services:
- Configuration for Azure-hosted models
- Authentication setup
- Enterprise deployment patterns
3. NVIDIA Models
Integration with NVIDIA's AI model ecosystem:
- Using NVIDIA-hosted models
- Performance optimization examples
- Multiple example implementations (intro, marketing strategy)
Integration Patterns
These examples demonstrate:
- Model Provider Flexibility: Using different LLM providers
- Framework Interoperability: Combining CrewAI with other AI frameworks
- Enterprise Deployments: Cloud-specific configurations
- Custom Model Endpoints: Working with specialized model services
Getting Started
Each integration example includes specific setup instructions for:
- API key configuration
- Authentication requirements
- Dependencies and environment setup
- Platform-specific considerations
Choose an integration based on your infrastructure needs and follow the example-specific documentation.