# Open Response API

## Docs

- [Development](https://masaic-ai.mintlify.app/development.md): Development with OpenResponses API
- [Frequently Asked Questions](https://masaic-ai.mintlify.app/faq.md): Common questions about OpenResponses API
- [Introduction](https://masaic-ai.mintlify.app/introduction.md): <a href="https://masaic.ai" target="_blank" rel="noopener noreferrer">Masaic</a> is the most open AI Developer Platform — enterprise-grade, OpenAI-compatible, and built without vendor lock-in. OpenResponses is our flagship platform component.
- [Model Providers](https://masaic-ai.mintlify.app/model-providers.md): Supported model providers and how to use them with OpenResponses
- [OpenAI Compatibility](https://masaic-ai.mintlify.app/openresponses/compatibility.md): Detailed guide on OpenAI API compatibility with OpenResponses
- [Observability](https://masaic-ai.mintlify.app/openresponses/observability.md): Monitor and track performance of your OpenResponses deployment
- [Setup With Observability](https://masaic-ai.mintlify.app/openresponses/runwithobs.md): Guide to run OpenResponses with observability stack including OpenTelemetry, Jaeger, Prometheus, and Grafana
- [Persistent Storage](https://masaic-ai.mintlify.app/openresponses/storage.md): Configure persistence for AI conversations with OpenResponses
- [Quick Start Guide](https://masaic-ai.mintlify.app/quickstart.md): Get started with OpenResponses API in minutes
- [Embedding Models](https://masaic-ai.mintlify.app/rag/embedding.md): Configure embedding models for semantic search and similarity comparisons
- [Files API](https://masaic-ai.mintlify.app/rag/files-api.md): Upload, manage, and retrieve documents for RAG integration
- [Overview](https://masaic-ai.mintlify.app/rag/overview.md): Enhance AI responses with relevant information from your document collections
- [Search API](https://masaic-ai.mintlify.app/rag/search-api.md): Perform semantic searches across your vector stores to find relevant document content
- [Vector Store API](https://masaic-ai.mintlify.app/rag/vectorstore-api.md): Create and manage collections of document embeddings for semantic search
- [Platform Roadmap](https://masaic-ai.mintlify.app/roadmap.md): Development roadmap for the platform
- [Agentic Search Tool](https://masaic-ai.mintlify.app/tools/agentic-search.md): Tackle complex research questions with AI-guided iterative searching
- [File Search Tool](https://masaic-ai.mintlify.app/tools/file-search.md): Find relevant information with direct vector store searches
- [Built-In Tools Overview](https://masaic-ai.mintlify.app/tools/overview.md): Powerful tools to enhance your AI applications with search and information retrieval capabilities
- [Think Tool](https://masaic-ai.mintlify.app/tools/think.md): Document reasoning steps and decision-making processes without side effects
- [Codex With Your Own Model](https://masaic-ai.mintlify.app/use-cases/codex-demo.md): Run OpenAI Codex with OpenResponses using any model of your choice

## OpenAPI Specs

- [openapi](https://masaic-ai.mintlify.app/api-reference/openapi.json)

## Optional

- [GitHub](https://github.com/masaic-ai-platform/open-responses)
- [Community](https://discord.com/channels/1335132819260702723/1354795442004820068)