Every signal your AI stack produces, in one platform

Every signal your AI stack produces, in one platform

Trace LangChain Agents & Tools in Production

Visualize multi-step reasoning, debug infinite tool-calling loops, and track token usage across complex LangChain workflows.

Captured Signals

Agent execution steps & reasoning (Chain-of-Thought)
Tool invocation inputs and outputs
Retriever latency and document context
Aggregate token usage across entire chain

Integration Example

import { ChatOpenAI } from "@langchain/openai";
import { TrasysCallbackHandler } from "@trasys/langchain";

const model = new ChatOpenAI({
  callbacks: [new TrasysCallbackHandler({ project: "customer-support-bot" })]
});

// Full traces including tool calls and retrieval are now logged!

Infinite Loop Detection

LangChain agents can easily get stuck in ReAct loops. Trasys detects repetitive tool failures and can auto-break the chain to save you money.

Hierarchical Trace Waterfalls

Understand exactly where time is spent. See the exact breakdown between the planner LLM, the vector DB retrieval, and the final synthesis.

Frequently Asked Questions

Can I see the exact documents retrieved by LangChain?

Yes. Trasys captures the raw inputs and outputs of every chain step, including the exact context retrieved from your Vector DB.