Skip to content
SiteList

TraceLLM — OpenTelemetry for production AI applications

tracellm.in

Unclaimed listing

Is this your site?

Claim itGet your badge

What it does

TraceLLM connects prompts, retrieval, tool calls, model spans, token usage, errors, and exports into one inspectable workflow for production AI applications.

Two ratings

SiteList review score

Exceptional edge delivery and Node.js documentation anchor the core. Unfixed soft-404 vulnerabilities and missing measurement infrastructure severely cap visibility.

Reviewed on Aug 6, 2026

Why this score? →

Screenshots

Captured during our latest review on Aug 24, 2026

Home · tracellm.in
Home · docs.tracellm.in
Sdk · docs.tracellm.in

Pricing details

No paid tiers or usage-based pricing are evidenced; the /pricing page returns identical homepage content, indicating missing pricing information. Billed monthly.

View source

Key features

  • SDK drop-in instrumentation

    instrumentation

    Wraps real model, agent, RAG, and tool calls without changing request destinations.

  • Full trace context

    tracing

    Attaches sessions, spans, events, errors, token usage, metadata, and optional content to one turn.

  • Capture control

    configuration

    Configurable storage for content, metadata, errors, usage, redaction, sampling, and span kinds.

  • OTLP export

    export

    Forwards selected traces to external collectors via OpenTelemetry Protocol.

  • Project API keys

    access_control

    Maps requests to projects and carries capture policies into the SDK runtime.

View source

Who it’s for

  • AI application debugging

    Turns model calls, app events, usage, and failures into a single product-level debugging record.

  • Live answer inspection

    Provides an inspectable trace sequence when a user reports a wrong response.

  • Provider testing

    Validates workflows across OpenAI, Claude, Gemini, custom gateways, and MCP-shaped setups.

View source

Integrations

  • SigNoz

    observability

    External OTLP export destination for trace data forwarding to your stack or any OTLP HTTP collector.

  • Honeycomb

    observability

    External OTLP export destination for trace data forwarding to your stack or any OTLP HTTP collector.

  • Tempo

    observability

    External OTLP export destination for trace data forwarding to your stack or any OTLP HTTP collector.

  • Datadog

    observability

    External OTLP export destination for trace data forwarding to your stack or any OTLP HTTP collector.

View source

Buyer questions

Questions buyers actually ask

Is TraceLLM suitable for production AI monitoring?

TraceLLM provides high-quality technical documentation for Node.js developers, but the site currently lacks commercial trust signals and social proof. While the SDK is substantive, the lack of a clear pricing model or company transparency may require additional due diligence for production use.

How fast is the TraceLLM website?

The site is exceptionally fast, scoring 88/100 in performance. It uses a text-centric design and Vercel edge delivery, maintaining a combined CSS and font weight 530KB with zero heavy images.

Does TraceLLM support mobile devices?

While the main site is readable, the API documentation subdomain currently lacks a viewport tag, making it non-responsive on mobile devices. This creates a significant usability gap for developers accessing docs on smaller screens.

What are the main technical issues with the TraceLLM site?

The primary issues are a soft-404 misconfiguration and host duplication (missing WWW-redirection). These flaws cause authority leakage and risk bloating search indexes with low-quality URLs.

Is TraceLLM better than LangSmith or Helicone?

TraceLLM currently functions as a technical utility rather than a commercial competitor. It lacks the 'vs' comparison pages and commercial landing surfaces needed to compete directly with established players for high-intent search queries.

Answers are based on SiteList's latest evidence review. Read the full review.

The expert review

TraceLLM earns a 72/100 for its high-quality Node.js SDK documentation and exceptional edge-delivery performance. However, the site's search visibility is severely capped by critical technical flaws, including a soft-404 vulnerability and a total lack of measurement infrastructure.

72/100: Strong technical core, significant technical configuration flaws.

Read the full review

Verified user reviews

0 verified

No reviews yet. The evidence locker is empty.

Reviews from verified users appear here once approved.

Reviews are from the SiteList community. Some reviewers received incentives — disclosed in the review, always. The verdict is never for sale.

Scores across 13 dimensions

Domain
tracellm.in
Category
Monitoring & observability
Platforms
web, api
Founded
2024
Last checked
Aug 6, 2026
Public dimensions
13

Compared on SiteList

Home

Metrician screenshot 1 of 4: Home

Metrician

Score 88 out of 100 — Strong

metrician.io

Metrician is a Chrome extension that displays AI usage limits, usage pace, and reset times for ChatGPT, Claude, Grok, OpenCode Go, and Ollama inside a customizable floating browser widget.

Home

qsa.sh — External security scan of your own IP, in your terminal screenshot 1 of 4: Home

qsa.sh — External security scan of your own IP, in your terminal

Score 86 out of 100 — Strong

qsa.sh

A terminal-based service that performs an external port and vulnerability scan of the user's own public IP address using open-source tools (naabu, nmap, nuclei), offering a free live-streaming tier and paid async/deep scan tiers.

Home

CodeBurn — See where your AI coding spend actually goes screenshot 1 of 4: Home

CodeBurn — See where your AI coding spend actually goes

Score 84 out of 100 — Strong

codeburn.app

CodeBurn is a free, open-source, local-first tool that tracks AI coding token usage and cost across dozens of developer tools. It breaks down spend by model, project, and task using session files already on the user's disk, with no data uploaded.

Home

Fixvibe screenshot 1 of 4: Home

Fixvibe

Score 83 out of 100 — Strong

fixvibe.app

Security scanner for AI-generated web apps, including DAST, BaaS misconfiguration checks, leaked-secret detection, and AI-ready remediation prompts.