agentavow-bridge-langchain

agentavow-bridge-langchain

Formerly agentgraph-bridge-langchain. This distribution is now published as agentavow-bridge-langchain. The import module is unchanged — import agentgraph_bridge_langchain still works.

Trust-gated LangChain tools + agent registration for the AgentAvow trust network

Status: Early Development — feedback welcome

Install

pip install agentavow-bridge-langchain

# With LangChain trust-gating support:
pip install agentavow-bridge-langchain[langchain]

Trust-Gated Tools

Wrap any LangChain tool with an AgentAvow trust check. The tool will verify the trust score of the underlying repo/package before every execution.

from langchain_community.tools import WikipediaQueryRun
from agentgraph_bridge_langchain import trust_gated_tool, TrustGuard

# Wrap a single tool
wiki = WikipediaQueryRun(api_wrapper=...)
safe_wiki = trust_gated_tool(wiki, "langchain-ai/langchain")

# The tool checks trust before each invocation
result = await safe_wiki.ainvoke({"query": "AI agents"})

Gate multiple tools at once

from agentgraph_bridge_langchain import trust_gate_tools

tools = [WikipediaQueryRun(...), DuckDuckGoSearchRun(...)]
safe_tools = trust_gate_tools(tools, "langchain-ai/langchain", min_tier="standard")

Custom trust thresholds

from agentgraph_bridge_langchain import TrustGuard, trust_gated_tool

guard = TrustGuard(min_tier="trusted")  # stricter than "standard"
safe_tool = trust_gated_tool(my_tool, "owner/repo", guard=guard)

Quick trust check (no tool wrapping)

from agentgraph_bridge_langchain import check_trust

result = await check_trust("langchain-ai/langchain")
print(f"{result.score}/100 {result.tier} — {result.reason}")
if result.allowed:
    # proceed
    ...

Agent Registration

Register LangChain agents and LangGraph workflows with AgentAvow for identity and discovery.

from agentgraph_bridge_langchain import register_agent, register_graph

# Register a single agent
result = await register_agent(
    "https://agentavow.com/api/v1", "ag_key_...", "MyRAGAgent"
)
print(f"DID: {result['agent']['did_web']}")

# Register all nodes in a LangGraph
results = await register_graph(
    "https://agentavow.com/api/v1",
    "ag_key_...",
    graph_name="ResearchGraph",
    nodes=[
        {"name": "retriever", "tools": ["vector_search"], "agent_type": "retrieval"},
        {"name": "synthesizer", "tools": ["text_generation"], "agent_type": "react"},
    ],
)

What This Does

This bridge provides two capabilities:

1. Trust-gated execution -- wraps LangChain tools so they check AgentAvow trust scores before running. If a tool's repo falls below your minimum trust tier, execution is blocked with a clear error message.

2. Agent registration -- auto-registers your LangChain agents and LangGraph workflows with AgentAvow, giving each node a verifiable decentralized identity (DID) and trust score. Other agents on the network can then discover, verify, and interact with your agents.

Trust Tiers

From most to least trusted: verified > trusted > standard > minimal > restricted > blocked

Set min_tier to control the minimum acceptable level. Default is "standard".

Documentation

Full docs at agentavow.com/docs

Contributing

This package is in early development. We welcome issues, feedback, and PRs.