full-project
Instrument the core product
Use when you want an agent to find the important product workflows, add structured events, and create a first dashboard.
Instrument the core product
Instrument this project with structured logs using /skill.md.
Use this Telemetry API key: YOUR_API_KEY
Please:
1. Find the most important user-facing flows, background jobs, and AI/tooling workflows.
2. Add structured logging with pragmatic snake_case tables and fields.
3. Capture the key signals for each workflow, including status, latency, identifiers, and error context when relevant.
4. Send test events to Telemetry and verify that ingestion works.
5. Create a high-level dashboard with charts and tables that summarize the most important signals in this project.
6. Tell me what you instrumented, which tables you created, and which dashboard views I should review first.
Prefer small, composable events over giant payloads, and optimize for dashboards that humans can scan quickly.ai-costs
Track OpenAI and LLM costs
Use when the most important unknown is model usage, token spend, latency, tool calls, and failed AI requests.
Track OpenAI and LLM costs
Instrument this project with Telemetry so we can understand OpenAI and LLM usage.
Use /skill.md and this Telemetry API key: YOUR_API_KEY
Please log:
1. Every model request with model, provider, route, feature, input_tokens, output_tokens, total_tokens, estimated_cost_usd, latency_ms, status, and error_type when relevant.
2. Tool calls made by the agent or assistant, including tool_name, status, latency_ms, and result_category.
3. User-facing AI workflow outcomes, including feature, status, retry_count, and whether the user accepted, copied, saved, or discarded the result.
4. A dashboard with daily cost, cost by feature, failures by model, p95 latency, and accepted output rate.
Keep prompts and raw completions out of telemetry unless I explicitly approve storing them.checkout
Track signup to paid conversion
Use when you need a clean funnel from landing-page visitor to registration, onboarding, checkout, and paid team activity.
Track signup to paid conversion
Instrument the acquisition and revenue funnel with Telemetry.
Use /skill.md and this Telemetry API key: YOUR_API_KEY
Please add structured events for:
1. Marketing page views, CTA clicks, pricing plan selection, docs CTA clicks, and prompt copies.
2. Registration attempts, successful registrations, onboarding steps, team creation, first API key creation, and first telemetry event received.
3. Checkout start, checkout success, plan changes, billing portal opens, and payment failures.
4. Activation milestones: first table created, first query run, first dashboard created, first alert created, and second active day.
Create a dashboard for visitor to signup, signup to activated team, activated team to paid, and weekly retention by activation milestone.api-reliability
Track API reliability
Use when product quality depends on understanding request volume, latency, errors, and customer-impacting incidents.
Track API reliability
Add Telemetry instrumentation for API reliability.
Use /skill.md and this Telemetry API key: YOUR_API_KEY
Please log each important API endpoint with route_template, method, status_code, status, latency_ms, user_id or team_id when available, request_size_bytes, response_size_bytes, and error_type.
Create:
1. A table for API request events.
2. Charts for request volume, error rate, p50 and p95 latency, and top failing endpoints.
3. Alerts for elevated 5xx rate, slow p95 latency, and sudden traffic drops.
Do not log request bodies, auth headers, cookies, secrets, or raw user content.background-jobs
Track background jobs
Use when queues, cron tasks, imports, billing syncs, or webhooks need operational visibility.
Track background jobs
Instrument background jobs and async workers with Telemetry.
Use /skill.md and this Telemetry API key: YOUR_API_KEY
Please log job_started, job_completed, and job_failed events with job_name, queue_name, attempt, status, duration_ms, scheduled_at, started_at, completed_at, item_count, retry_count, and error_type.
Create a dashboard showing throughput by job, failures by job, p95 duration, retry volume, oldest pending job, and dead-letter events. Add alerts for stalled jobs and repeated failures.retention
Track product usage and retention
Use when you need to understand activation, repeated usage, feature adoption, and which actions correlate with retained accounts.
Track product usage and retention
Instrument product usage and retention with Telemetry.
Use /skill.md and this Telemetry API key: YOUR_API_KEY
Please add structured events for:
1. Signup, onboarding step completion, team creation, first successful integration, and first meaningful product action.
2. Core feature usage with feature_name, action, surface, team_id, user_id, status, latency_ms, and error_type when relevant.
3. Retention milestones: second active day, first saved dashboard, first shared artifact, first alert created, and first return after seven days.
4. Expansion signals: invited teammate, upgraded plan intent, billing page viewed, usage limit reached, and support requested.
Create a dashboard for activation rate, weekly active teams, feature adoption, retained teams by first action, and upgrade-intent events.Templates
Copy a workflow-specific brief
AI Agent Observability Template
Track agent runs, tool calls, retries, model latency, errors, and accepted outcomes with structured SQL-ready events.
Open templateBackground Job Failure Monitor
Capture queue, cron, import, billing sync, and webhook job health from the first run through retries and failures.
Open templateAPI Error And Latency Monitor
Watch request volume, status codes, route latency, failed endpoints, and customer-impacting API incidents.
Open templateLLM Cost Tracker
Measure model spend, token usage, latency, failure rate, and value signals by feature, user, and account.
Open templateWebhook Debugging Template
Track delivery, processing, retries, provider status, idempotency, and downstream effects for critical webhooks.
Open templateActivation And Retention Template
Track the path from signup to first meaningful action, retained usage, upgrade intent, and expansion signals.
Open templateEvent Tracking Plan Template
Create a reviewable event catalog covering grain, ownership, fields, privacy, retention, validation, and downstream SQL dependencies.
Open templateAI Agent Security Audit Template
Instrument tool authorization decisions, policy versions, human approvals, and terminal outcomes with privacy-safe structured events.
Open templateDatabase Reliability Monitoring Template
Instrument slow operation fingerprints, pool contention, transaction rollbacks, locks, replication lag, and migration outcomes with safe structured events.
Open templateIntegrations
Attach Telemetry to the stack users already have
OpenAI Agent Telemetry
Log OpenAI agent runs, tool calls, model usage, latency, cost, and final outcomes with structured events.
Open guideBrowser JavaScript and Web Vitals Telemetry
Collect Core Web Vitals and bounded frontend outcomes through a rate-limited server proxy without exposing a Telemetry API key.
Open guideVercel AI SDK Telemetry
Track streaming completions, token usage, retries, latency, and accepted results from AI SDK workflows.
Open guideInngest And Trigger.dev Job Telemetry
Instrument async workers, scheduled jobs, retries, failures, and dead-letter events with SQL-ready logs.
Open guideStripe Webhook Telemetry
Debug payment, subscription, invoice, retry, and downstream billing sync behavior without storing webhook bodies.
Open guideSupabase And Postgres App Telemetry
Track product workflows, database-adjacent jobs, API routes, and customer-facing failures from server code.
Open guideCloudflare Worker Telemetry
Log edge request status, latency, provider failures, cron runs, and queue workers from Cloudflare Workers.
Open guideNode.js and Express Structured Logging
Instrument Express route outcomes with stable route templates, status codes, request latency, and safe correlation fields.
Open guideNext.js Server Event Analytics
Send SQL-ready events from Next.js route handlers and server actions without exposing an ingestion key to the browser.
Open guidePython and FastAPI Structured Logging
Capture FastAPI request outcomes and latency with the asynchronous Telemetry client and normalized route names.
Open guideOpenTelemetry Context in Structured Events
Connect Telemetry business events to existing OpenTelemetry traces by recording safe trace and span identifiers at workflow boundaries.
Open guideAWS Lambda Structured Event Monitoring
Track Lambda invocations, cold starts, duration, retries, and business outcomes with compact structured events.
Open guideGo HTTP Server Structured Logging
Add typed request-outcome events to Go HTTP services for route error rates, latency percentiles, and release comparisons.
Open guideRuby on Rails Structured Event Analytics
Record Rails controller and background-workflow outcomes through Telemetry's HTTP API with safe, queryable fields.
Open guideDjango and Celery Structured Event Monitoring
Connect Django request outcomes and Celery task lifecycles with safe identifiers, latency, retries, and terminal status.
Open guideLaravel Structured Logging and Queue Analytics
Send Laravel request, command, queue, and billing outcomes as typed events without exposing application secrets or payloads.
Open guide.NET and Serilog Structured Event Analytics
Add a focused Telemetry outcome event beside Serilog diagnostics for ASP.NET request latency, failures, releases, and customer impact.
Open guideSpring Boot Structured Event Monitoring
Record Spring MVC and scheduled-workflow outcomes through Telemetry's HTTP API with stable routes, latency, status, and trace context.
Open guideTemporal Workflow Observability
Track Temporal workflow outcomes, activity retries, schedule-to-start latency, and business milestones without recording workflow payloads.
Open guideBullMQ Queue Monitoring
Measure BullMQ queue wait, execution duration, retries, failures, and dead-letter growth with SQL-ready lifecycle events.
Open guideAWS SQS Queue Observability
Track SQS message age, receive attempts, processing outcomes, batch behavior, and dead-letter routing without storing message bodies.
Open guideKafka Consumer Lag and Processing Analytics
Monitor Kafka consumer outcomes, partition lag, processing latency, retries, and poison-message handling with structured events.
Open guideAnthropic Claude API Telemetry
Track Claude API token usage, model, latency, stop reason, errors, cost context, and reviewed product outcomes without storing prompts.
Open guideLangGraph Agent Observability
Measure LangGraph run outcomes, node and tool failures, retries, checkpoints, human handoffs, latency, and reviewed task quality.
Open guidenode-postgres Pool and Query Telemetry
Instrument node-postgres query fingerprints, connection acquisition, pool pressure, timeouts, transaction outcomes, and database errors without logging SQL parameters.
Open guidePrisma ORM Database Telemetry
Measure Prisma operation fingerprints, model and method latency, failures, result counts, releases, and database-dependent workflows without collecting raw query parameters.
Open guideKubernetes Workload Telemetry
Send bounded Kubernetes restart, readiness, and rollout observations to Telemetry for workload-level SQL analysis.
Open guideGoogle Gemini API Telemetry
Track Gemini request latency, model usage, tokens, finish reason, errors, and reviewed product outcomes without storing prompts or generated content.
Open guideAmazon Bedrock Model Telemetry
Measure Bedrock Converse requests by model or inference profile, token usage, latency, stop reason, retries, and business outcome.
Open guideAzure OpenAI Responses Telemetry
Track Azure OpenAI deployment usage, token cost, latency, failures, and product outcomes with editable SQL-ready events.
Open guideLangChain Agent Outcome Telemetry
Connect LangChain agent runs and tool outcomes to product-facing cost, reliability, handoff, and acceptance metrics without duplicating raw traces.
Open guidePino Structured Event Analytics
Pair Pino diagnostic logs with bounded Telemetry outcome events for Node.js request, job, and product reliability analysis.
Open guideWinston Structured Event Analytics
Connect Winston application diagnostics to small SQL-ready request, workflow, and job outcomes without duplicating the entire log stream.
Open guideNestJS Request and Workflow Telemetry
Instrument NestJS controllers and providers with normalized route outcomes, latency, errors, releases, and approved account context.
Open guideFlask and SQLAlchemy Telemetry
Measure Flask request outcomes and SQLAlchemy transaction behavior with bounded Python events, stable route templates, and safe error categories.
Open guideSidekiq Job Telemetry
Track Sidekiq execution outcomes, attempts, queue wait, errors, and releases from server middleware without copying job arguments.
Open guideRedis and node-redis Telemetry
Measure Redis command outcomes, latency, cache behavior, reconnects, and bounded error categories alongside node-redis.
Open guideClaude Agent SDK Telemetry
Track Claude Agent SDK run outcomes, duration, tool activity, turns, cost, and approved product signals without storing prompts or tool payloads.
Open guidePydantic AI Agent Telemetry
Measure Pydantic AI run outcomes, validated outputs, retries, tool activity, latency, usage, and product acceptance with safe structured events.
Open guideCrewAI Workflow Telemetry
Track CrewAI crew and flow outcomes, task counts, handoffs, retries, latency, cost, and accepted results without retaining agent conversations.
Open guideGoogle ADK Agent Telemetry
Measure Google Agent Development Kit sessions, run outcomes, tool activity, handoffs, latency, and approved product signals with SQL-ready events.
Open guideMastra Agent Telemetry
Track Mastra agent and workflow outcomes, tool activity, latency, retries, cost, and product acceptance alongside built-in traces and evals.
Open guideLlamaIndex Agent Telemetry
Track LlamaIndex agent and workflow outcomes, tool activity, latency, retrieval versions, cost, and reviewed quality with structured events.
Open guideDSPy Program Evaluation Telemetry
Measure DSPy program latency, failures, metric scores, optimizer versions, model cost, and accepted outcomes across releases with SQL-ready events.
Open guideAutoGen Timeout and Multi-Agent Telemetry
Track AutoGen task-flow state, timeouts, team and agent outcomes, tool activity, handoffs, latency, failures, cost, and releases with compact structured events.
Open guideSemantic Kernel Agent Telemetry
Measure Semantic Kernel function and agent outcomes, tool activity, model usage, latency, cost, and releases alongside OpenTelemetry traces.
Open guideMCP Server and Tool Telemetry
Track Model Context Protocol tool outcomes, latency, errors, approvals, retries, clients, and releases without storing arguments or returned content.
Open guideRabbitMQ Queue Telemetry
Track RabbitMQ publish confirmation, delivery, acknowledgement, redelivery, queue wait, retries, and dead-letter outcomes with structured events.
Open guideMySQL Query and Pool Telemetry
Track normalized MySQL operations, pool wait, transaction outcomes, controlled error categories, and release regressions without storing raw SQL or parameters.
Open guideMongoDB Operation Telemetry
Track named MongoDB operations, latency, result counts, retries, transaction outcomes, and release regressions without collecting documents or query values.
Open guideGoogle Cloud Run Telemetry
Track Cloud Run request and job outcomes, cold-start context, instance concurrency, retries, latency, and releases with application-owned structured events.
Open guideGoogle Cloud Pub/Sub Telemetry
Track Pub/Sub publish, delivery, acknowledgement, redelivery, ordering, queue age, and dead-letter outcomes with stable message identifiers.
Open guideAzure Functions Telemetry
Track Azure Functions HTTP, timer, queue, and event-trigger outcomes with invocation, retry, latency, release, and customer-impact context.
Open guideAzure Service Bus Telemetry
Track Azure Service Bus sends, receives, lock renewal, settlement, redelivery, deferral, and dead-letter outcomes without collecting message bodies.
Open guideOpenAI Responses API Telemetry
Measure OpenAI Responses API latency, token usage, tool activity, failures, and downstream outcomes without collecting prompts or generated content.
Open guideLiteLLM Gateway and SDK Telemetry
Track LiteLLM provider routing, retries, fallbacks, token usage, latency, cost estimates, and accepted outcomes across a controlled model gateway.
Open guideElixir Phoenix Telemetry Integration
Attach to Phoenix request lifecycle events and forward a bounded terminal request outcome without copying connection data, parameters, or exception text.
Open guideAWS ECS and Fargate Telemetry Integration
Add ECS task family, revision, availability zone, and release context to application outcomes using the local task metadata endpoint.
Open guideGitHub Actions Workflow Telemetry Integration
Send a bounded terminal workflow outcome from GitHub Actions with run, attempt, job, conclusion, duration, and release context.
Open guiden8n Workflow Telemetry
Send n8n workflow completion, failure, retry, item-count, and downstream delivery outcomes to a bounded Telemetry event through the HTTP Request node.
Open guideUse cases
Send high-intent visitors to a focused setup page
Claude Code Observability
Give Claude Code a prompt that makes telemetry part of the implementation pass instead of a separate cleanup project.
Open setup pageCursor Telemetry Setup
A copyable setup prompt for adding event tables, funnel tracking, and dashboards from inside Cursor.
Open setup pageCodex Instrumentation Prompt
A focused prompt that asks Codex to instrument the rest of the product, verify events, and summarize coverage gaps.
Open setup pageOpenAI Cost Monitoring
Monitor OpenAI and LLM spend by model, feature, customer, latency, error rate, and outcome with SQL dashboards and budget alerts.
Open setup pageProduct Analytics for Retention
Use agent-installed structured events to learn which early actions create returning users and revenue-ready teams.
Open setup pageAI Agent Telemetry and Observability
Instrument AI agent telemetry for runs, tool calls, retries, latency, model cost, failures, and accepted outcomes in SQL-ready event tables.
Open setup pageBackground Job Monitoring
Use structured events to see job throughput, retries, failures, dead letters, queue health, and p95 duration.
Open setup pageWebhook Debugging
Track webhook delivery, processing, retries, deduplication, downstream jobs, and failures without storing raw payloads.
Open setup pageAPI Reliability Monitoring
Track API request volume, status codes, latency, timeouts, customer impact, and failed endpoints with SQL.
Open setup pageCrypto And Onchain Automation Monitoring
Track indexed events, agent actions, transaction costs, wallet workflows, tool calls, and failed automation jobs.
Open setup pageInfrastructure Metrics With SQL
Send structured infrastructure events when you need queryable host and container history without a large monitoring rollout.
Open setup pageUsage-Based Billing Analytics
Build a defensible usage ledger, quota dashboard, overage workflow, and billing reconciliation from idempotent structured events.
Open setup pageSecurity and Audit-Log Analytics
Design privacy-aware security events for authentication failures, access changes, privileged actions, and incident timelines.
Open setup pageAI Agent Security Monitoring
Monitor tool authorization, policy denials, approval queues, risky action classes, and release changes without storing prompts, credentials, or tool payloads.
Open setup pageAI Agent Quality and Evaluation
Connect agent runs, reviewer outcomes, human handoffs, cost, and release changes to a repeatable quality-evaluation workflow.
Open setup pageDatabase Reliability Monitoring with SQL
Track safe query fingerprints, pool pressure, transaction rollbacks, lock contention, replication lag, and migration outcomes without collecting raw SQL parameters.
Open setup pageFrontend Performance Monitoring with SQL
Track typed LCP, INP, and CLS samples by stable route and release, then use SQL to find frontend regressions without collecting raw URLs or page content.
Open setup pageKubernetes Reliability Monitoring with SQL
Track Kubernetes workload transitions and application outcomes together so SQL can separate planned rollout activity from repeated restarts and serving impact.
Open setup pageSaaS Revenue Analytics with SQL
Build an auditable SaaS revenue model from subscription movements, invoices, entitlements, and product outcomes instead of relying on disconnected billing snapshots.
Open setup pageTelemetry Data Quality Monitoring with SQL
Monitor event freshness, required fields, types, duplicates, schema versions, and volume so broken instrumentation is found before it becomes a misleading business or reliability metric.
Open setup pageComparisons
PostHog For Backend Events
PostHog is a broad product stack with product analytics, funnels, retention, SQL, and a data warehouse. Telemetry is the narrower choice when the main job is structured backend event capture, inspectable SQL, and agent-installed operational dashboards.
Read comparisonDatadog Alternative For Startups
Datadog is a broad observability and security platform. Telemetry is a focused alternative when a small team wants structured application events, SQL dashboards, and threshold alerts without first adopting a full infrastructure and APM suite.
Read comparisonClickHouse Logging API Without Running ClickHouse
ClickHouse and ClickStack provide a powerful, scalable analytics and observability foundation. Telemetry is the smaller managed workflow when you want structured event querying without designing or operating the surrounding database and observability stack.
Read comparisonAxiom Alternative For Structured Event Analytics
Axiom is a mature cloud-native telemetry platform with ingestion, search, APL queries, dashboards, monitors, and broad observability workflows. Telemetry is the narrower option when a small team specifically wants typed application events, familiar SQL, and coding-agent-installed operational analysis.
Read comparisonBetter Stack Logs Alternative For SQL Event Analytics
Better Stack combines logs, dashboards, alerting, incident management, and uptime workflows. Telemetry is the more focused choice when the core requirement is structured application outcomes queried with SQL and installed from codebase-aware prompts.
Read comparisonHoneycomb Alternative For Lightweight Wide Events
Honeycomb is built for high-cardinality observability and debugging distributed systems with wide events and traces. Telemetry is a lighter alternative when the first need is custom application and business events, SQL analysis, and simple dashboards or alerts.
Read comparisonGrafana Loki Alternative For Structured Log SQL
Grafana Cloud and Loki provide a broad logs, metrics, traces, dashboards, and alerting ecosystem. Telemetry is the focused alternative when a team wants managed JSON event tables and SQL without assembling or operating the surrounding observability stack.
Read comparisonSentry Alternative For Structured Events and SQL
Sentry combines error monitoring, tracing, profiling, session replay, and logs around application health. Telemetry is the narrower alternative when a team's first requirement is custom structured workflow events and SQL analysis rather than exception-centric debugging.
Read comparisonSplunk Alternative for Structured Events
Splunk provides broad search, security, log analytics, infrastructure monitoring, APM, real-user monitoring, and OpenTelemetry-based collection. Telemetry is the narrower option when a team wants purpose-built application events, SQL, and a smaller operating surface.
Read comparisonElastic Alternative for Structured Event SQL
Elastic Observability combines Elasticsearch, Kibana, logs, metrics, APM, profiling, and OpenTelemetry collection. Telemetry is the focused alternative when the main job is managed application-event ingestion and SQL analysis without operating or modeling a broader Elastic deployment.
Read comparisonNew Relic Alternative for Structured Events
New Relic is a broad observability platform spanning APM, infrastructure, logs, browser, mobile, synthetics, errors, and NRQL. Telemetry is the narrower choice when a team wants custom structured outcomes, SQL, and a lightweight event-analysis workflow.
Read comparisonTelemetry vs Langfuse for AI Observability
Langfuse is an LLM engineering platform for traces, prompt management, evaluation, datasets, and experiments. Telemetry is the narrower SQL-first option for compact agent, cost, reliability, and product-outcome events.
Read comparisonTelemetry vs LangSmith for AI Observability
LangSmith provides tracing, evaluation, datasets, experiments, and deployment options for LLM applications. Telemetry focuses on compact outcome events and SQL across AI and application workflows.
Read comparisonTelemetry vs Arize Phoenix
Arize Phoenix is an open-source AI observability and evaluation platform built around traces, prompts, datasets, and experiments. Telemetry focuses on compact structured outcomes and SQL.
Read comparisonTelemetry vs Pydantic Logfire
Pydantic Logfire combines OpenTelemetry-based application observability with AI tracing and conversation views. Telemetry is a narrower structured-event and SQL outcome layer.
Read comparisonTelemetry vs Mixpanel
Mixpanel is a product and digital analytics platform built around behavioral reports such as insights, funnels, flows, retention, and cohorts. Telemetry is the narrower choice for SQL over application-owned product and operational events.
Read comparisonTelemetry vs Amplitude
Amplitude is a digital analytics platform with product-analysis workflows for events, funnels, retention, journeys, cohorts, and experimentation. Telemetry focuses on compact structured events and explicit SQL.
Read comparisonTelemetry vs Braintrust
Braintrust is an AI evaluation and observability platform built around experiments, datasets, scorers, prompts, and production traces. Telemetry focuses on SQL over selected AI and product outcomes.
Read comparisonTelemetry vs Helicone
Helicone combines an AI gateway with LLM request observability, sessions, cost analytics, caching, and alerts. Telemetry is a provider-neutral SQL layer for selected AI and application outcomes.
Read comparisonTelemetry vs Opik
Opik is an open-source LLM evaluation and observability platform with traces, datasets, metrics, experiments, and test suites. Telemetry focuses on SQL over bounded AI and application outcomes.
Read comparisonTelemetry vs W&B Weave
W&B Weave is an AI observability and evaluation platform with traces, datasets, scorers, versioning, feedback, and production monitoring. Telemetry focuses on SQL over selected AI and product outcomes.
Read comparisonTelemetry vs MLflow for GenAI
MLflow provides OpenTelemetry-compatible GenAI tracing, evaluations, prompt versioning, experiments, and production monitoring. Telemetry focuses on bounded outcome events and SQL across the application.
Read comparisonTelemetry vs OpenLIT
OpenLIT is an open-source, OpenTelemetry-native AI engineering platform with auto-instrumentation, traces, evaluations, prompts, experiments, dashboards, and collectors. Telemetry focuses on SQL outcome events.
Read comparison