For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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HomeProductDevelopersSelf-HostingChangelog
  • Getting Started
    • Overview
  • Agent Builder
    • Using the Agent Builder
  • Prompts
    • Prompt Engineering
    • Collaboration
    • Custom Models
    • Multimodality
    • Prompt Caching
  • Workflows
    • Introduction
    • Experimenting
    • Integrating
    • Function Calling
      • Overview
      • Prompt Chain
      • RAG Chatbot
      • RAG with Cohere Rerank
      • Customer Support Bot
      • Convert PDF to CSV
      • Summarize Images of Websites
      • Parallelized Function Calls
      • Lookup Conference Attendees
      • Multi-Agent Content Creation
      • LLMs Debating Each Other
      • Zapier Airtable Integration
      • Automating PR Reviews
  • Evaluation & Test Suites
    • Quantitative Evaluation
    • Evaluating RAG Pipelines
    • Online Evaluations
  • Metrics
    • Out of the Box Metrics
    • Custom Metrics
    • Reusing Metrics in Test Suites
  • Deployments
    • Deployment Lifecycle Management
    • Observability in Production
    • Environments
    • Release Tags
    • Release Reviews
  • Monitoring
    • Monitoring Production Trends
    • Track Workflow Execution Costs
    • Datadog Integration
    • Webhook Integration
    • Execution URLs
  • Documents
    • Uploading Documents
    • Integrating w/ Search API
    • Metadata Filtering
  • Security
    • Data Privacy and Storage
    • HMAC Authentication
    • Role-Based Access Control (RBAC)
    • Static IPs
  • Organizations
    • Manage Organization Access
    • Data Retention Policies
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WorkflowsExamples

LLMs Debating Each Other

Concepts: Multi-Agent Interaction, Chat History, Reasoning Chains, Dynamic Responses, Argument Analysis

This example showcases an innovative approach to multi-agent interactions where language models engage in structured debates. Watch as AI agents construct arguments, respond to counterpoints, and demonstrate complex reasoning capabilities while maintaining a coherent discussion flow. This workflow demonstrates advanced techniques in prompt engineering and agent interaction design.

Chatbots Debating Each Other Example Workflow

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