This directory contains projects that demonstrate how to integrate reasoning capabilities of large language models (LLMs) with Stream's Chat and Video SDKs. These examples showcase advanced AI techniques for enhancing real-time communication.
These projects explore the integration of reasoning-focused LLMs to create more intelligent and context-aware communication applications. The implementations demonstrate:
- Complex reasoning in conversational contexts
- Decision-making capabilities in chat applications
- Question answering with contextual awareness
- Multi-step reasoning for complex user queries
- Integration of LLMs with Stream's real-time communication platforms
- AI Chat Documentation
- Building Intelligent Assistants with Stream and LLMs
- AI Moderation with Stream
These projects typically require:
- A Stream account with API credentials
- Access to LLM providers (OpenAI, Anthropic, etc.)
- Programming language-specific dependencies
- Configuration of environment variables for API keys
To run a specific project:
- Navigate to the project directory
- Install the required dependencies
- Set up your API credentials
- Follow the project-specific instructions
Ready to add advanced AI reasoning capabilities to your applications?
- Sign up for a free Stream account - No credit card required
- Check out our AI documentation - Comprehensive guides
- Join our Discord community - Connect with other developers and the Stream team