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@m4trix/tracing

v0.9.2

Published

Lightweight tracing for LangGraph and LangChain-style applications

Downloads

3,061

Readme

@m4trix/tracing

A lightweight tracing layer for LangGraph and LangChain-style applications. It stores trace structure separately from large payloads so traces can be written locally, viewed from a mounted Docker volume, or backed by custom storage adapters.

Storage Model

LangGraph / LangChain-style run
            |
            v
        Tracer  (callback-shaped handler)
            |
            v
        TraceStore
        /        \
       v          v
StructureStoreAdapter    PayloadStoreAdapter
(small queryable rows)   (large JSON blobs, returns refs)
            ^
            |
        TraceViewerApi  (read + annotation writes)
  • The structure store keeps trace summaries and per-run spans.
  • The payload store keeps inputs, outputs, and event streams, returning opaque refs.
  • The same TraceStore is used by the writer (Tracer) and reader (TraceViewerApi).

Install

pnpm add @m4trix/tracing

Core Types

export type TraceRun = {
  schemaVersion: 1;
  traceId: string;
  runId: string;
  parentRunId?: string;
  type:
    | "agent" | "chain" | "llm" | "chat_model"
    | "tool" | "retriever" | "embedding"
    | "prompt" | "parser"
    | (string & {});
  name: string;
  status: "running" | "success" | "error";
  startTime: string;
  endTime?: string;
  latencyMs?: number;
  tokens?: { input: number; output: number; cached?: number };
  costUsd?: number;
  error?: { message: string; type?: string };
  inputRef?: string;
  outputRef?: string;
  eventsRef?: string;
  metadata?: Record<string, string | number | boolean>;
  annotation?: Record<string, unknown>;
  extra?: Record<string, unknown>;
};

export type Trace = {
  schemaVersion: 1;
  traceId: string;
  rootRunId: string;
  projectId?: string;
  name: string;
  status: "running" | "success" | "error";
  startTime: string;
  endTime?: string;
  latencyMs?: number;
  tokens?: { input: number; output: number };
  costUsd?: number;
  runCount: number;
  metadata?: Record<string, string | number | boolean>;
  annotation?: Record<string, unknown>;
};

Composition

import {
  FsPayloadStoreAdapter,
  FsStructureStoreAdapter,
  TraceStore,
  TraceViewerApi,
  Tracer,
} from "@m4trix/tracing";

const traceStore = TraceStore.of({
  structureStoreAdapter: new FsStructureStoreAdapter({ path: "./.traces" }),
  payloadStoreAdapter: new FsPayloadStoreAdapter({ path: "./.traces" }),
});

const tracer = Tracer.from(traceStore);
const traceViewerApi = TraceViewerApi.from(traceStore);

Writing Traces

Tracer implements the common LangChain callback method names (handleChainStart, handleChainEnd, handleToolStart, handleToolEnd, handleLLMStart, handleLLMEnd, error handlers, and retriever handlers). It does not currently import LangChain at runtime, so it can be used as a compatible callback-shaped object without forcing a LangChain dependency.

LangGraph adapter

For an explicit LangGraph callback type, use tracer.adapt(toLangGraph):

import { Tracer, toLangGraph } from "@m4trix/tracing";
// or: import { toLangGraph } from "@m4trix/tracing/adapters/langgraph";

const tracer = Tracer.from(traceStore);
const lgTracer = tracer.adapt(toLangGraph);

await graph.invoke(input, {
  callbacks: [lgTracer],
  metadata: { projectId: "my-app", env: "dev" },
});

await lgTracer.flush();

You can also pass tracer directly to callbacks; adapt only narrows the type and documents intent.

await graph.invoke(input, {
  callbacks: [tracer],
  metadata: { projectId: "my-app", env: "dev" },
});

await tracer.flush();

Always await tracer.flush() (or await lgTracer.flush() when using adapt(toLangGraph)) on short-lived processes before exit.

Reading Traces

await traceViewerApi.listTraces({ projectId: "my-app", limit: 25 });
await traceViewerApi.getTrace(traceId);      // { trace, runs } | null
await traceViewerApi.getTraceTree(traceId);  // { trace, root: TraceRunNode } | null
await traceViewerApi.getPayload(ref);        // resolves any JSON payload ref

// Post-hoc review annotations (deep-merge by default)
await traceViewerApi.patchTraceAnnotation({
  traceId,
  annotation: { review: { status: "needs-followup", author: "pascal" } },
});
await traceViewerApi.patchRunAnnotation({
  traceId,
  runId,
  annotation: { note: "tool returned empty payload" },
  merge: false, // replace entire run annotation
});

Annotations

annotation is a first-class JSON object on Trace and TraceRun, separate from scalar metadata captured during execution. Use it for human review notes, labels, or workflow state after a trace completes.

  • patchTraceAnnotation({ traceId, annotation, merge? }) — deep-merge by default
  • patchRunAnnotation({ traceId, runId, annotation, merge? }) — deep-merge by default
  • merge: false replaces the whole annotation; {} with merge: false clears it

Filesystem Adapters

The bundled filesystem adapters write under one configurable directory:

.traces/
  traces/
    {traceId}/
      trace.json
      runs.ndjson
      payloads/
        {runId}/
          input.json
          output.json
          events.ndjson

FsStructureStoreAdapter.listTraces scans traces/*/trace.json, applies simple filters, and returns traces newest-first. It is suitable for local development and small datasets.

FsPayloadStoreAdapter returns refs relative to the configured root, for example traces/{traceId}/payloads/{runId}/input.json. JSON refs can be resolved with TraceViewerApi.getPayload(ref). Stream refs can be written and read directly through putStream/getStream.

AWS Adapters

For hosted storage, compose DynamoDB (structure) + S3 (payloads):

import {
  DynamoStructureStoreAdapter,
  S3PayloadStoreAdapter,
  TraceStore,
  resolveDynamoStructureStoreOptionsFromEnv,
  resolveS3PayloadStoreOptionsFromEnv,
} from "@m4trix/tracing";

const traceStore = TraceStore.of({
  structureStoreAdapter: new DynamoStructureStoreAdapter(
    resolveDynamoStructureStoreOptionsFromEnv(),
  ),
  payloadStoreAdapter: new S3PayloadStoreAdapter(
    resolveS3PayloadStoreOptionsFromEnv(),
  ),
});

Environment variables:

| Variable | Purpose | |----------|---------| | TRACE_DYNAMO_TABLE | DynamoDB table name | | TRACE_S3_BUCKET | S3 bucket for payloads | | TRACE_S3_PREFIX | Optional key prefix (default: none) | | AWS_REGION | AWS region | | AWS_ENDPOINT_URL | Optional (LocalStack) |

DynamoDB table schema (single-table):

| Attribute | Key | Notes | |-----------|-----|-------| | pk | partition | traceId | | sk | sort | TRACE or RUN#<runId> | | listPk | GSI byStartTime PK | PROJECT#_all on trace items | | listSk | GSI byStartTime SK | trace startTime (ISO) | | trace / run | — | full documents |

Payload refs remain logical paths like traces/{traceId}/payloads/{runId}/input.json.

Trace Sidecar (filesystem → AWS)

For production deployments, write traces locally with the filesystem adapters and run m4trix-tracing-sidecar in a companion container to replicate payloads to S3 and structure to DynamoDB. The app avoids network latency and AWS credentials; the sidecar handles upload, ordering, and cleanup.

App (FsStructure + FsPayload)  →  shared volume (/traces)
Sidecar (m4trix-tracing-sidecar)  →  S3 + DynamoDB

Replication order: payloads first, then structure (trace.json, runs.ndjson) once all referenced payload refs are uploaded. Local payload files are deleted after a successful S3 put. Progress is tracked in {root}/.shipper/state.json (sidecar-owned).

CLI

After pnpm --filter @m4trix/tracing build:

TRACE_DYNAMO_TABLE=traces \
TRACE_S3_BUCKET=my-payloads \
AWS_REGION=us-east-1 \
  m4trix-tracing-sidecar --root ./.traces --once

Flags:

| Flag | Default | Purpose | |------|---------|---------| | --root <dir> | TRACE_ROOT or /traces | Local trace root | | --interval <dur> | 2s | Poll interval (500ms, 2s, 1m) | | --once | off | Single replication pass, then exit |

Uses the same env vars as the AWS adapters (TRACE_DYNAMO_TABLE, TRACE_S3_BUCKET, etc.).

Docker

Image: ghcr.io/pascal-lohscheidt/m4trix-tracing-sidecar

Build from the repository root:

docker build -f packages/tracing/Dockerfile -t m4trix-tracing-sidecar .

Run with a shared traces volume:

docker run --rm \
  -v /path/to/traces:/traces \
  -e TRACE_DYNAMO_TABLE \
  -e TRACE_S3_BUCKET \
  -e AWS_REGION \
  ghcr.io/pascal-lohscheidt/m4trix-tracing-sidecar:latest

Mount the same volume in your application container at /traces and point both processes at that path (FsStructureStoreAdapter / FsPayloadStoreAdapter with path: "/traces").

Adapter Interfaces

export type StructureStoreAdapter = {
  upsertTrace(trace: Trace): Promise<void>;
  upsertRun(run: TraceRun): Promise<void>;
  upsertRunBatch?(runs: TraceRun[]): Promise<void>;
  getTrace(traceId: string): Promise<{ trace: Trace; runs: TraceRun[] } | null>;
  listTraces(query?: {
    projectId?: string;
    status?: Trace["status"];
    startAfter?: string;
    startBefore?: string;
    limit?: number;
    cursor?: string;
  }): Promise<{ traces: Trace[]; nextCursor?: string }>;
  patchTraceAnnotation(input: {
    traceId: string;
    annotation: Record<string, unknown>;
    merge?: boolean;
  }): Promise<Trace | null>;
  patchRunAnnotation(input: {
    traceId: string;
    runId: string;
    annotation: Record<string, unknown>;
    merge?: boolean;
  }): Promise<TraceRun | null>;
};

export type PayloadStoreAdapter = {
  putJson(path: string, value: unknown): Promise<string>;
  getJson<T = unknown>(ref: string): Promise<T>;
  putStream?(path: string, body: AsyncIterable<Uint8Array> | Iterable<Uint8Array>): Promise<string>;
  getStream?(ref: string): Promise<ReadableStream<Uint8Array>>;
};

Out of Scope

  • Sampling and rate limiting.
  • PII redaction.
  • Multi-tenant auth and authorization in the viewer.
  • Retention / TTL.
  • Production-scale querying in the filesystem structure adapter.