Conversation API

Conversation API stores stateful chat and memory so you only keep the conversation_id. Build AI chat without SDKs, databases, or backend setup-enabling faster prompt iteration and easy low-code integration.

Conversation API

About Conversation API

Conversation API is a focused service for building stateful chat features with built-in memory and storage so you don't have to manage databases or infrastructure. It stores conversations automatically and exposes a simple API where you only keep the conversation_id.

Review

The product aims to remove common engineering overhead when adding chat to products by handling conversation state, versioning, and logs on behalf of the user. In testing and based on the product description, it provides sensible defaults for persistent chat, clear commit/version behavior for prompts, and tooling that helps teams iterate on prompts and workflows more quickly.

Key Features

  • Automatic conversation storage and state management - you only retain the conversation_id.
  • Versioned prompts and configuration so live conversations remain stable after updates.
  • Transparent logs and visibility into AI behavior in production.
  • Support for RAG, web search, and custom tools without additional infrastructure setup.
  • Free options plus token-based pricing with monthly token limits for paid plans.

Pricing and Value

Conversation API offers a free tier with paid plans that are primarily token-based and include monthly token limits. The value proposition centers on reducing engineering time and complexity-teams can prototype and ship chat features without setting up storage, SDKs, or additional backend services. That said, cost predictability will depend on conversation length and usage patterns, so teams should model token consumption for their expected workloads. Data export is available on request, while a self-hosted option is not offered at launch.

Pros

  • Saves engineering effort by handling memory, storage, and state out of the box.
  • Versioning keeps ongoing conversations stable when prompts or configs change.
  • Good visibility into production behavior via logs and commit history.
  • Works well for low-code builders and product teams that need fast iteration.
  • Includes a free tier for initial experimentation.

Cons

  • Potential vendor lock-in concerns for teams that require a self-hosted deployment; export is available but self-hosting is not yet supported.
  • Pricing is token-based, which can be harder to predict for long or highly interactive conversations unless usage is modeled carefully.
  • Some advanced conversation-scaling strategies (summarization/pruning) may require clarification depending on large context growth.

Overall, Conversation API is well suited for product managers, founders, and small engineering teams who want to add chat features quickly without building backend systems. It is especially useful for prototyping and early production where prompt iteration and stable conversation behavior are priorities; teams needing full self-hosting or tight cost guarantees should evaluate token usage and export workflows before committing.



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