telemetry.dev shows each run of your AI agent as one trace. Each model call and tool call is a span with its duration, tokens, cost, and error. Prompts and evals use the same traces: change a prompt without a deploy, then run it on a dataset and compare the scores with production. Alerts tell you about errors, cost spikes, and agent loops. Connect with our TypeScript or Python SDK, or with the OpenTelemetry exporter that you already use.
Hi Product Hunt, I'm Ephraim, one of the makers of telemetry.dev.
When an agent breaks in production, you want to know which step did it and what the run cost. telemetry.dev shows each run as one trace, with every model call and tool call as a span with its tokens, cost, and error.
New in this launch:
- Prompt management: change prompts without a deploy
- Evals: test a new prompt version on a dataset before it goes live
- Alerts when errors pile up or a run gets expensive
- A CLI and an MCP server, so your coding agent can read your traces
It's built on OpenTelemetry, with TypeScript and Python SDKs for OpenAI, Anthropic, the Vercel AI SDK, LangChain and more. The free plan needs no card, and the code PHBU7A47FH gets you 1 month of Pro.
What's the hardest part of debugging your agents right now?
About telemetry.dev on Product Hunt
“LLM observability for AI agents”
telemetry.dev launched on Product Hunt on October 31st, 2026 and earned 181 upvotes and 11 comments, earning #3 Product of the Day. telemetry.dev shows each run of your AI agent as one trace. Each model call and tool call is a span with its duration, tokens, cost, and error. Prompts and evals use the same traces: change a prompt without a deploy, then run it on a dataset and compare the scores with production. Alerts tell you about errors, cost spikes, and agent loops. Connect with our TypeScript or Python SDK, or with the OpenTelemetry exporter that you already use.
On the analytics side, telemetry.dev competes within Analytics, Developer Tools and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how telemetry.dev performed against the three products that launched closest to it on the same day.
Who hunted telemetry.dev?
telemetry.dev was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of telemetry.dev including community comment highlights and product details, visit the product overview.
fmerian
Hi Product Hunt, I'm Ephraim, one of the makers of telemetry.dev.
When an agent breaks in production, you want to know which step did it and what the run cost. telemetry.dev shows each run as one trace, with every model call and tool call as a span with its tokens, cost, and error.
New in this launch:
- Prompt management: change prompts without a deploy
- Evals: test a new prompt version on a dataset before it goes live
- Alerts when errors pile up or a run gets expensive
- A CLI and an MCP server, so your coding agent can read your traces
It's built on OpenTelemetry, with TypeScript and Python SDKs for OpenAI, Anthropic, the Vercel AI SDK, LangChain and more. The free plan needs no card, and the code PHBU7A47FH gets you 1 month of Pro.
What's the hardest part of debugging your agents right now?