@dawn-ai/langchain

LangChain adapters for materializing Dawn agents and chains, converting tools, streaming, embeddings, and retry.

Use this when: You are materializing or extending Dawn's LangChain agent and chain bridge. Application routes normally declare agents through @dawn-ai/sdk and let the runtime use this layer.

Install

pnpm add @dawn-ai/langchain @langchain/core @langchain/langgraph-checkpoint

Install the optional LangChain provider package selected by your agents. @langchain/openai is included; Anthropic, Google, Mistral, Groq, Ollama, xAI, and OpenRouter integrations are optional peers.

Example

import { chainAdapter, openaiEmbedder } from "@dawn-ai/langchain"

export const adapter = chainAdapter
export const embedder = openaiEmbedder({ model: "text-embedding-3-small" })

chainAdapter adapts a LangChain runnable to Dawn's chain backend contract. openaiEmbedder supplies the memory embedding seam and reads provider configuration when first used.

Runtime and stability

• @dawn-ai/langchain is an edge-safe, supported integration surface.
• Edge-safe describes Dawn's emitted edge target; it is not a promise that every provider integration, application tool, or dynamically loaded package is browser-portable.
• @dawn-ai/langchain/package.json exposes package metadata for tooling, not runtime code.

Related

• @dawn-ai/sdk — author-facing agent and chain declarations.
• @dawn-ai/langgraph — raw graph and workflow route adapters.
• LangChain API reference — full exports, peers, and runtime contracts.
• Agents guide — define application agents through the author-facing API.

Maturity and support

This package is pre-1.0 and releases in Dawn's fixed package group. Review the changelog before upgrading. For support, open an issue.

License

MIT. See the repository license.