LangChain / LangGraph
The reference library for building agent applications.
Python and JavaScript libraries for composing LLM-powered applications. LangGraph extends LangChain with explicit state-machine semantics for long-running agentic workflows. Trustvice Receipts attaches at the LangGraph runtime to capture every node transition, tool call, and message produced by the graph.
Beta
Status
SDK / Library
Pattern
Python
Runtime
Not yet published
SDK version
Readiness
What “Beta” means for LangChain / LangGraph
The integration path is built and tested. Real customers can attach now, but expect minor breaking changes until the 1.0 contract freeze.
How it attaches
SDK / Library.
Install the trustvice-actor-langchain package and call witness.attach() once during agent initialisation.
Install the Trustvice adapter package from npm, PyPI, or cargo and call witness.attach(agent) in your application.
pip install trustvice-actor-langchain
- 1
Install the adapter
Add trustvice-actor-langchain to your project from PyPI.
- 2
Issue a workspace API key
Generate a twk_-prefixed key in the dashboard under Settings → API Keys, scoped to the workspace and environment this agent's data should land in.
- 3
Attach the witness
Call witness.attach(agent) once when you initialise your LangChain / LangGraph agent. The adapter registers the framework callbacks, handles retries, and performs the workspace handshake.
- 4
Verify
Trigger one agent run. The dashboard's Witness page shows the canonical record within ~1 second of the agent emitting it.
pip install trustvice-actor-langchain
Coverage
4 event types captured.
agent.invocationEvery top-level agent run — the input, the resolved output, timing, and token usage.
tool.callEach tool / function the agent invokes, with arguments and the returned result.
memory.writeWrites to the agent's persistent memory store, so state changes are auditable.
sub_agent.spawnSub-agents the orchestrator spawns, captured with their parent lineage.
The full pattern guide
SDK / Library — end to end.
Every framework on this pattern shares the same platform-side spine, endpoints, and gotchas. The pattern guide covers them in full.
Read the SDK / Library guideNeed help landing LangChain / LangGraph?
Talk to the integration team.
We help you land the integration end to end — including the parts that live in your environment.
Request integration help
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