telemetry.dev

LLM observability and telemetry platform for AI agents

Coding & Development Coding AssistantsFreemium

Visit website ↗

$25/moStarting price

1.3KMonthly visits

2Popularity

About telemetry.dev

telemetry provides observability and telemetry for AI agents by tracing model calls, tool steps, and retrievals in a single view. It captures latency, token usage, and cost metrics while supporting integration with OpenTelemetry exporters or SDKs. The platform includes alerting for cost spikes, errors, or agent loops, prompt management with versioning and rollouts, and evaluation tracking for test runs. Users can search traces by name or filter by status, environment, framework, or session. MCP analytics show spans, failures, and p95 duration by method and tool, while settings allow control over prompt capture and data retention. The service connects via TypeScript, Python, or OTLP/HTTP exporters and supports multiple model providers and frameworks.

Key features

Model call tracing
Tool step and retrieval tracking
Alerting for cost and errors
Prompt management with versions
MCP analytics for tool performance
OpenTelemetry integration
Multi-provider and framework support
Trace filtering and search

Use cases

Debugging AI agent failures and latency issues
Monitoring LLM costs and token usage across providers
Tracking tool performance and failures in MCP traffic

Pros

Traces model calls, tool steps, and retrievals in a single view
Supports OpenTelemetry integration and multiple SDKs
Includes alerting for cost, errors, and agent loops
Offers prompt management with versioning and rollouts
Provides MCP analytics for tool performance and failures

Cons

Free plan limited to 30,000 ingestion units per month
No automatic overage handling for paid plans beyond limits
14-day retention on Free plan, shorter than Pro and Team tiers

Frequently asked questions about telemetry.dev

What is telemetry.dev and what does it do?

telemetry.dev provides LLM observability and telemetry for AI agents by tracing model calls, tool steps, and retrievals in a single view. It captures latency, token usage, and cost metrics while supporting integration with OpenTelemetry exporters or SDKs.

Who should use telemetry.dev?

telemetry.dev is designed for developers and teams building AI agents who need to monitor performance, track costs, debug failures, and manage prompts across different environments and frameworks.

How does telemetry.dev help with prompt management?

telemetry.dev offers prompt management with versioning, labels, and rollouts without requiring a deployment, allowing teams to iterate on prompts safely and track changes over time.

Can telemetry.dev integrate with existing tools or platforms?

Yes, telemetry.dev supports integration via TypeScript or Python SDKs, or through existing OpenTelemetry exporters, including OTLP/HTTP. It also works with popular model providers and frameworks like OpenAI, Anthropic, Vercel AI SDK, and LangChain.

Does telemetry.dev offer alerting for AI agent issues?

Yes, telemetry.dev provides alerting for cost spikes, errors, agent loops, and missing prices, helping teams address issues before they impact users.

How do I get started with telemetry.dev?

To get started, connect your AI agent using the TypeScript or Python SDK, or an existing OpenTelemetry exporter. telemetry.dev offers a quickstart guide and setup instructions tailored to your stack.