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Telemetry.dev is an LLM observability platform built on OpenTelemetry for monitoring AI applications and autonomous agents. It groups model calls, tool executions, retrievals, and agent steps into detailed traces so teams can investigate failures, slow operations, token usage, and spending. The platform provides trace inspection, latency analysis, error tracking, token and cost monitoring, MCP analytics, alerts, prompt management, evaluation tracking, searchable traces, and environment based filtering. Users can compare cost, latency, request volume, and failures by model, provider, framework, or deployment environment. Alerts can identify unusual costs, budget issues, agent loops, missing model prices, and tool errors. Telemetry.dev supports TypeScript and Python SDKs, OpenTelemetry OTLP HTTP exporters, OpenAI, Anthropic, Google Gen AI, Amazon Bedrock, OpenRouter, LiteLLM, Vercel AI SDK, LangChain, LangGraph, CrewAI, Pydantic AI, MCP, and multiple coding agents. Its free plan includes 30000 ingestion units per month, 14 day retention, one project, and two seats. Each span, log record, or metric data point consumes one ingestion unit. Prompt capture can be disabled by environment, while redaction controls help limit sensitive data storage.
