langchain-openterms 1.0.0

OpenTerms adapter for LangChain — sign and emit ORS v0.1 receipts for every tool call.

langchain-openterms

LangChain adapter for OpenTerms — emits a signed ORS v0.1 receipt for every tool invocation in a LangChain chain or agent.

Depends on openterms-py>=0.1.0 for canonicalization, signing, and the HTTP client. One signing path is shared with crewai-openterms.

Install

pip install langchain-openterms

This pulls in langchain-core>=0.3,<1.0. The adapter uses only the public BaseCallbackHandler hooks, which have been stable through the 0.3 line. If you need to run against an older LangChain version, pin langchain-core and report compatibility issues on the repo.

Quickstart

from langchain_core.tools import tool
from openterms import IngestClient, generate_keypair
from openterms_langchain import OpenTermsCallbackHandler

sk, _ = generate_keypair()
client = IngestClient(
    base_url="http://localhost:3000",
    workspace_id="00000000-0000-4000-8000-0000000000aa",
    key_id="my-key",
    private_key=sk.private_bytes_raw(),
    agent_id="my-agent",
)
handler = OpenTermsCallbackHandler(
    client=client,
    agent_id="my-agent",
    terms_url="https://example.com/terms",
    terms_hash="a" * 64,
    emit_post_action=True,
)

@tool
def add(a: int, b: int) -> int:
    """Add two integers."""
    return a + b

add.invoke({"a": 2, "b": 3}, config={"callbacks": [handler]})

Two receipts will be emitted per call: one on on_tool_start with the inputs, and one on on_tool_end with action_context.post_state_hash = SHA-256 of the output.

See examples/quickstart.py for a runnable copy.

Configuration

• terms_url / terms_hash: the default terms binding for every receipt. Override per-tool with handler.set_tool_terms(tool_name, terms_url=..., terms_hash=...).
• emit_post_action: when True, emit a second receipt on on_tool_end. Default False.
• strict: when True, re-raise openterms.IngestError from the callback so a failed emission propagates up the chain. Default False — failures are logged and swallowed so a misbehaving ingest cannot break an agent loop.

What this adapter does

• Hooks LangChain's on_tool_start / on_tool_end / on_tool_error lifecycle.
• Builds an ORS receipt with action_type="tool_call" and action_context = {tool_id, args}.
• Signs and POSTs through openterms.IngestClient.
• Optionally emits a second receipt on tool completion containing a post_state_hash (SHA-256 of the stringified output).

What this adapter does NOT do

• It does not run an ingest service. You must point IngestClient at a running OpenTerms API. See apps/api and IMPLEMENTATION_STATUS.md.
• It does not handle auth. The bearer-token placeholder on IngestClient is not yet enforced by the service.
• It does not host a JWKS. Verification requires a JWKS you supply.
• It does not buffer or retry. A failed emission is logged once (or re-raised if strict=True) and the call proceeds.
• It does not patch LangChain. The handler is purely additive — you attach it via the callbacks config argument and remove it the same way.

Repository

Source and issue tracker: jstibal/openterms-trace.

License

Apache-2.0.