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Agent API Reference

Under ConstructionThis documentation is currently being developed and will be available soon. This placeholder outlines the planned content.

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Overview

This technical reference provides comprehensive documentation for all API endpoints available in the MOOD MNKY agent system. It includes detailed parameter descriptions, request/response formats, error codes, and examples for each endpoint.

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Planned Content

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Base URL and Versioning

  • Production and development environments
  • API versioning policy
  • Endpoint URL structure
  • Deprecation and migration guidelines

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Authentication

  • Authentication methods
  • Token generation and management
  • Scopes and permissions
  • Security best practices

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Core Endpoints

Agent Messages

Send and receive messages to/from agents
  • POST /api/agents//messages
  • GET /api/agents//messages

Conversations

Manage conversation sessions
  • POST /api/conversations
  • GET /api/conversations/
  • DELETE /api/conversations/

Knowledge

Query agent knowledge base
  • POST /api/knowledge/query
  • GET /api/knowledge/topics

User Profiles

Manage user preferences and history
  • GET /api/users//profile
  • PATCH /api/users//profile

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Request/Response Formats

  • Standard request parameters
  • Response structure
  • Pagination
  • Filtering and sorting
  • Field selection

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Error Handling

  • Error response format
  • Standard error codes
  • Validation errors
  • Rate limiting responses
  • Troubleshooting guidelines

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WebSocket API

  • Connection establishment
  • Authentication
  • Event types
  • Streaming message format
  • Heartbeat and reconnection

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SDKs and Client Libraries

  • JavaScript/TypeScript SDK
  • Python SDK
  • Agent Core package integration
  • Custom client implementation guidelines

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Implementation Timeline

This reference documentation is scheduled for completion in Q3 2023. For immediate API integration needs, please contact the development team for early access information.
The completed API reference will include interactive API explorers, code snippets in multiple languages, and downloadable OpenAPI specification files.