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Built on [OpenTelemetry](https://opentelemetry.io/).\n\n## Installation\n\n```sh\nnpm install @latitude-data/telemetry openai\n```\n\nInstrumentation implementations are included with the package but isolated behind opt-in subpath exports, so application bundles include only the instrumentations they import.\n\n## Quick Start\n\n### Bootstrap (Recommended)\n\nThe fastest way to start tracing your LLM calls. One class sets up everything:\n\n```typescript\nimport OpenAI from \"openai\";\nimport { createOpenAIInstrumentation } from \"@latitude-data/telemetry/instrumentations/openai\";\nimport { Latitude } from \"@latitude-data/telemetry\";\n\nconst latitude = new Latitude({\n  apiKey: process.env.LATITUDE_API_KEY!,\n  project: process.env.LATITUDE_PROJECT_SLUG!,\n  instrumentations: [createOpenAIInstrumentation(OpenAI)],\n});\n\nawait latitude.ready;\nconst client = new OpenAI();\n\n// Your LLM calls will now be traced and sent to Latitude\nconst response = await client.chat.completions.create({\n  model: \"gpt-4\",\n  messages: [{ role: \"user\", content: \"Hello\" }],\n});\n\nawait latitude.shutdown();\n```\n\n**What this does:**\n\n- Detects an existing OpenTelemetry provider (Sentry, Datadog, New Relic, Honeycomb, etc.) and adds Latitude to it when possible\n- Creates a complete OpenTelemetry setup when your app does not already have one\n- Registers the LLM instrumentations explicitly supplied through opt-in subpath factories\n- Configures the Latitude span processor and exporter\n- Sets up async context propagation (for passing context through async operations) when Latitude owns the OTel setup\n\n**Key point about instrumentation readiness:**\n\n`new Latitude()` returns immediately and exposes `latitude.ready`. Await it before creating LLM clients or making calls so the selected instrumentations have their tracer provider.\n\n**When to use this:** Most applications should start here. If you already initialize Sentry or another tracing SDK, initialize it first and construct `new Latitude()` second. Latitude will reuse the existing tracing pipeline when possible, and `latitude.shutdown()` only shuts down Latitude-owned processing.\n\n**When you might need the advanced setup:**\n\n- You need custom span processing, sampling, or filtering\n- You want to wire span processors explicitly instead of letting `new Latitude()` detect your provider\n\n### Existing Sentry or OpenTelemetry Setup\n\nIf your app already uses Sentry or another OpenTelemetry-compatible SDK, initialize that SDK first and then construct `new Latitude()`:\n\n```typescript\nimport OpenAI from \"openai\";\nimport * as Sentry from \"@sentry/node\";\nimport { createOpenAIInstrumentation } from \"@latitude-data/telemetry/instrumentations/openai\";\nimport { Latitude } from \"@latitude-data/telemetry\";\n\nSentry.init({\n  dsn: process.env.SENTRY_DSN!,\n  tracesSampleRate: 1.0,\n});\n\nconst latitude = new Latitude({\n  apiKey: process.env.LATITUDE_API_KEY!,\n  project: process.env.LATITUDE_PROJECT_SLUG!,\n  instrumentations: [createOpenAIInstrumentation(OpenAI)],\n});\n\n// LLM spans are exported to both Sentry (via its provider) and Latitude.\nawait latitude.flush();\nawait latitude.shutdown(); // Does not shut down Sentry.\n```\n\nFor fully custom OTel setups, you can also wire the Latitude processor explicitly:\n\n```typescript\nimport OpenAI from \"openai\";\nimport { NodeSDK } from \"@opentelemetry/sdk-node\";\nimport { createOpenAIInstrumentation } from \"@latitude-data/telemetry/instrumentations/openai\";\nimport {\n  LatitudeSpanProcessor,\n  registerLatitudeInstrumentations,\n} from \"@latitude-data/telemetry\";\n\nconst sdk = new NodeSDK({\n  spanProcessors: [\n    existingProcessor, // Your existing processor\n    new LatitudeSpanProcessor(\n      process.env.LATITUDE_API_KEY!,\n      process.env.LATITUDE_PROJECT_SLUG!,\n    ),\n  ],\n});\n\nsdk.start();\n\n// Enable LLM auto-instrumentation\nawait registerLatitudeInstrumentations({\n  instrumentations: [createOpenAIInstrumentation(OpenAI)],\n  tracerProvider: sdk.getTracerProvider(),\n});\n\n// Your LLM calls will now be traced and sent to Latitude\nconst client = new OpenAI();\nconst response = await client.chat.completions.create({\n  model: \"gpt-4\",\n  messages: [{ role: \"user\", content: \"Hello\" }],\n});\n```\n\n### Why OpenTelemetry?\n\nLatitude Telemetry is built entirely on OpenTelemetry standards. When you're ready to add other observability tools (Datadog, Sentry, Jaeger, etc.), you can use them alongside Latitude without conflicts:\n\n- **Standard span processors** — `LatitudeSpanProcessor` works with any `NodeSDK` or `NodeTracerProvider`\n- **Smart filtering** — Only LLM-relevant spans are exported to Latitude (spans with `gen_ai.*`, `llm.*`, `openinference.*`, `ai.*`, supported framework attributes such as `eve.*` / `flue.*`, plus known LLM instrumentation scopes)\n- **Compatible with existing instrumentations** — Works alongside HTTP, DB, and other OTel instrumentations\n- **No vendor lock-in** — Standard OTLP export, no proprietary wire format\n\n## Using `capture()` for Context and Boundaries\n\nThe SDK automatically traces LLM calls when you use auto-instrumentation. However, you may want to add additional context (user ID, session ID, tags, or metadata) to group related spans together.\n\n### What `capture()` Does\n\n`capture()` wraps your code to attach Latitude context to all LLM spans created inside the callback:\n\n- Adds attributes like `user.id`, `session.id`, `latitude.tags`, and `latitude.metadata` to every span\n- Creates a named boundary for grouping related traces\n- Uses OpenTelemetry's native `context.with()` for reliable async propagation\n\n### When to Use It\n\nYou don't need `capture()` to get started—auto-instrumentation handles LLM calls automatically. Use `capture()` when you want to:\n\n- **Group traces by user or session** — Track all LLM calls from a specific user or session\n- **Add business context** — Tag traces with deployment environment, feature flags, or request IDs\n- **Mark agent boundaries** — Wrap an entire agent run or conversation turn with a name and metadata\n- **Filter and analyze** — Use tags and metadata to filter traces in the Latitude\n\n### Example\n\n```typescript\nimport OpenAI from \"openai\";\nimport { createOpenAIInstrumentation } from \"@latitude-data/telemetry/instrumentations/openai\";\nimport { Latitude, capture } from \"@latitude-data/telemetry\";\n\nconst latitude = new Latitude({\n  apiKey: process.env.LATITUDE_API_KEY!,\n  project: process.env.LATITUDE_PROJECT_SLUG!,\n  instrumentations: [createOpenAIInstrumentation(OpenAI)],\n});\n\nawait latitude.ready;\n\n// Wrap a request or agent run to add context\nawait capture(\n  \"handle-user-request\",\n  async () => {\n    const result = await agent.process(userMessage);\n    return result;\n  },\n  {\n    userId: \"user_123\",\n    sessionId: \"session_abc\",\n    tags: [\"production\", \"v2-agent\"],\n    metadata: { requestId: \"req-xyz\", featureFlag: \"new-prompt\" },\n  },\n);\n\nawait latitude.shutdown();\n```\n\n**Important:** `capture()` does not create spans—it only attaches context to spans created by auto-instrumentation. Use one `capture()` call at the request or agent boundary. You can nest calls for granular context; child spans inherit from parent context with local overrides.\n\n## Key Concepts\n\n- **`new Latitude()`** — The primary way to use Latitude. Bootstraps a complete OpenTelemetry setup with LLM auto-instrumentation and the Latitude exporter. Best for most applications.\n- **`LatitudeSpanProcessor`** — For advanced use cases where you already have an OpenTelemetry setup. Exports spans to Latitude alongside your existing observability stack.\n- **`registerLatitudeInstrumentations()`** — Registers LLM auto-instrumentations (OpenAI, Anthropic, etc.) when using the advanced setup with your own provider.\n- **`capture()`** — Optional. Wraps your code to attach Latitude context (tags, userId, sessionId, metadata) to all spans created inside the callback. Use this when you want to group traces by user, session, or add business context.\n\n**Important:** Auto-instrumentation traces LLM calls without `capture()`. Use `capture()` only when you need to add context or mark boundaries. Wrap the request, job, or agent entrypoint once—you don't need to wrap every internal step.\n\n## Public API\n\n```typescript\nimport {\n  Latitude,\n  LatitudeSpanProcessor,\n  capture,\n  registerLatitudeInstrumentations,\n} from \"@latitude-data/telemetry\";\n```\n\n### `new Latitude(options)`\n\nThe primary entry point. Bootstraps a complete OpenTelemetry setup with LLM instrumentations and Latitude export.\n\n```typescript\ntype LatitudeOptions = {\n  apiKey: string;\n  /**\n   * Default project slug for spans. Optional — every `capture()` can override.\n   * Sent as the `X-Latitude-Project` header on every export.\n   */\n  project?: string;\n  /**\n   * @deprecated Renamed to `project`. Still accepted for backwards compatibility\n   * and will be removed in a future release. When both are set, `project` wins.\n   */\n  projectSlug?: string;\n  // Map of integration name → LLM SDK module the consumer imports.\n  // Anything else (string array, unknown key, non-object) throws at register time.\n  instrumentations?: InstrumentationsInput;\n  serviceName?: string;\n  disableBatch?: boolean;\n  disableSmartFilter?: boolean;\n  shouldExportSpan?: (span: ReadableSpan) => boolean;\n  blockedInstrumentationScopes?: string[];\n  disableRedact?: boolean;\n  redact?: RedactSpanProcessorOptions;\n  exporter?: SpanExporter;\n  tracerProvider?: TracerProvider; // Optional explicit provider for Sentry/Datadog/New Relic/Honeycomb/custom OTel\n};\n\nclass Latitude {\n  constructor(options: LatitudeOptions);\n  provider: TracerProvider; // Existing provider when detected, otherwise Latitude's NodeTracerProvider\n  getTracer(scope: string, context?: ContextOptions): Tracer;\n  flush(): Promise<void>;\n  shutdown(): Promise<void>;\n}\n```\n\nUse `getTracer()` with Vercel AI SDK v6 calls:\n\n```typescript\nawait generateText({\n  model,\n  prompt: \"Hello\",\n  experimental_telemetry: {\n    isEnabled: true,\n    tracer: latitude.getTracer(\"vercelai\"),\n    functionId: \"support-agent-turn\",\n  },\n});\n```\n\nThe helper returns a tracer from the provider Latitude is actually exporting from. That matters when another runtime or observability SDK already registered a global OpenTelemetry provider that Latitude cannot attach to. Pass context as the second argument when you want spans created by that tracer to carry `userId`, `sessionId`, `tags`, `metadata`, or `project`.\n\n### `LatitudeSpanProcessor`\n\nSpan processor for shared-provider setups. Reads Latitude context from OTel context and stamps attributes onto spans.\n\n```typescript\nclass LatitudeSpanProcessor implements SpanProcessor {\n  constructor(\n    apiKey: string,\n    project: string | undefined,\n    options?: LatitudeSpanProcessorOptions,\n  );\n}\n\ntype LatitudeSpanProcessorOptions = {\n  disableBatch?: boolean;\n  disableSmartFilter?: boolean;\n  shouldExportSpan?: (span: ReadableSpan) => boolean;\n  blockedInstrumentationScopes?: string[];\n  disableRedact?: boolean;\n  redact?: RedactSpanProcessorOptions;\n  exporter?: SpanExporter;\n};\n```\n\n### `capture(name, fn, options?)`\n\nWraps a function to attach Latitude context to all spans created inside. Uses OpenTelemetry's native `context.with()` for scoping.\n\n```typescript\ntype ContextOptions = {\n  name?: string;\n  userId?: string;\n  sessionId?: string;\n  tags?: string[];\n  metadata?: Record<string, unknown>;\n  /**\n   * Routes this capture (and its child spans) to a specific Latitude project.\n   * Overrides the constructor's `project` default for the duration of the capture.\n   */\n  project?: string;\n  /**\n   * @deprecated Renamed to `project`. Still accepted for backwards compatibility\n   * and will be removed in a future release.\n   */\n  projectSlug?: string;\n};\n\nfunction capture<T>(\n  name: string,\n  fn: () => T | Promise<T>,\n  options?: ContextOptions,\n): T | Promise<T>;\n\ntype CaptureScope = {\n  end(error?: unknown): void;\n};\n\ncapture.start(name: string, options?: ContextOptions): CaptureScope;\ncapture.end(scope?: CaptureScope, error?: unknown): void;\ncapture.end(error?: unknown): void;\n```\n\nUse lifecycle mode when callback wrapping does not fit the shape of your code:\n\n```typescript\nconst scope = capture.start(\"support-agent-turn\", {\n  userId: user.id,\n  sessionId: session.id,\n  tags: [\"support\"],\n});\n\ntry {\n  await runAgent();\n} catch (error) {\n  capture.end(scope, error);\n  throw error;\n}\n\ncapture.end(scope);\n```\n\nYou can also call `capture.end()` without a scope to end the currently active lifecycle capture.\n\n**Nested `capture()` behavior:**\n\n- `userId`: last-write-wins\n- `sessionId`: last-write-wins\n- `metadata`: shallow merge\n- `tags`: append and dedupe while preserving order\n\n### `registerLatitudeInstrumentations(options)`\n\nRegisters patch-based AI SDK instrumentations against a specific tracer provider.\n\n```typescript\ntype InstrumentationName =\n  | \"openai\"\n  | \"openai-agents\"\n  | \"anthropic\"\n  | \"bedrock\"\n  | \"cohere\"\n  | \"langchain\"\n  | \"llamaindex\"\n  | \"togetherai\"\n  | \"vertexai\"\n  | \"aiplatform\";\n\n// `object | undefined` rejects primitive values (`true`, `42`, `\"openai\"`, …)\n// at compile time while still admitting class constructors (functions),\n// namespace imports, and explicit-undefined-for-conditional-config.\ntype InstrumentationsInput = Partial<Record<InstrumentationName, object | undefined>>;\n\nfunction registerLatitudeInstrumentations(options: {\n  // Map of integration name → LLM SDK module reference (e.g. { openai: OpenAI }).\n  // Anything else throws at register time.\n  instrumentations: InstrumentationsInput;\n  tracerProvider: TracerProvider;\n}): Promise<void>;\n```\n\n## Vendor-Specific Integration Guides\n\nFor users with existing observability infrastructure.\n\n### With Datadog\n\nInitialize Datadog first, then construct `new Latitude()` so Latitude can attach to Datadog's OTel provider when possible:\n\n```typescript\nimport OpenAI from \"openai\";\nimport tracer from \"dd-trace\";\nimport { createOpenAIInstrumentation } from \"@latitude-data/telemetry/instrumentations/openai\";\nimport { Latitude } from \"@latitude-data/telemetry\";\n\ntracer.init({ service: \"my-app\", env: \"production\" });\n\nconst latitude = new Latitude({\n  apiKey: process.env.LATITUDE_API_KEY!,\n  project: process.env.LATITUDE_PROJECT_SLUG!,\n  instrumentations: [createOpenAIInstrumentation(OpenAI)],\n});\n\n// LLM calls are now traced and sent to both Datadog and Latitude.\nawait latitude.flush();\nawait latitude.shutdown(); // Does not shut down Datadog.\n```\n\n**Adding context:** Use `capture()` if you want to add user IDs, session IDs, or tags to your traces (see [Using `capture()` for Context and Boundaries](#using-capture-for-context-and-boundaries)).\n\n### With Sentry\n\nInitialize Sentry first, then Latitude. Sentry installs an OpenTelemetry `BasicTracerProvider`; Latitude detects it and adds its processor without replacing Sentry's context manager, propagator, sampler, or span processor:\n\n```typescript\nimport OpenAI from \"openai\";\nimport * as Sentry from \"@sentry/node\";\nimport { createOpenAIInstrumentation } from \"@latitude-data/telemetry/instrumentations/openai\";\nimport { Latitude } from \"@latitude-data/telemetry\";\n\nSentry.init({\n  dsn: process.env.SENTRY_DSN,\n  tracesSampleRate: 1.0,\n});\n\nconst latitude = new Latitude({\n  apiKey: process.env.LATITUDE_API_KEY!,\n  project: process.env.LATITUDE_PROJECT_SLUG!,\n  instrumentations: [createOpenAIInstrumentation(OpenAI)],\n});\n\n// LLM calls are now traced and sent to both Sentry and Latitude.\nawait latitude.flush();\nawait latitude.shutdown(); // Does not shut down Sentry.\n```\n\n**Adding context:** Use `capture()` if you want to add user IDs, session IDs, or tags to your traces (see [Using `capture()` for Context and Boundaries](#using-capture-for-context-and-boundaries)).\n\n### With New Relic\n\nEnable New Relic's OpenTelemetry bridge first, then construct `new Latitude()`. New Relic registers an OpenTelemetry `BasicTracerProvider`; Latitude attaches to that provider when possible and only shuts down Latitude's own processor.\n\n```typescript\nimport \"newrelic\";\nimport OpenAI from \"openai\";\nimport { createOpenAIInstrumentation } from \"@latitude-data/telemetry/instrumentations/openai\";\nimport { Latitude } from \"@latitude-data/telemetry\";\n\nconst latitude = new Latitude({\n  apiKey: process.env.LATITUDE_API_KEY!,\n  project: process.env.LATITUDE_PROJECT_SLUG!,\n  instrumentations: [createOpenAIInstrumentation(OpenAI)],\n});\n```\n\n### With Honeycomb\n\nStart Honeycomb's `HoneycombSDK` first, then construct `new Latitude()`. Honeycomb extends OpenTelemetry's `NodeSDK`, so Latitude reuses the global provider created by `sdk.start()`.\n\n```typescript\nimport OpenAI from \"openai\";\nimport { HoneycombSDK } from \"@honeycombio/opentelemetry-node\";\nimport { createOpenAIInstrumentation } from \"@latitude-data/telemetry/instrumentations/openai\";\nimport { Latitude } from \"@latitude-data/telemetry\";\n\nconst honeycomb = new HoneycombSDK({ serviceName: \"my-app\" });\nhoneycomb.start();\n\nconst latitude = new Latitude({\n  apiKey: process.env.LATITUDE_API_KEY!,\n  project: process.env.LATITUDE_PROJECT_SLUG!,\n  instrumentations: [createOpenAIInstrumentation(OpenAI)],\n});\n```\n\n## Migrating to instrumentation subpaths\n\nThe object-map API is removed. Import a factory for each selected instrumentation, install its implementation peer, and pass the created instances as an array:\n\n```diff\n  import OpenAI from \"openai\";\n+ import { createOpenAIInstrumentation } from \"@latitude-data/telemetry/instrumentations/openai\";\n  import { Latitude } from \"@latitude-data/telemetry\";\n\n  new Latitude({\n    apiKey: process.env.LATITUDE_API_KEY!,\n    project: process.env.LATITUDE_PROJECT_SLUG!,\n-   instrumentations: { openai: OpenAI },\n+   instrumentations: [createOpenAIInstrumentation(OpenAI)],\n  });\n```\n\nPassing the removed object-map shape rejects `latitude.ready` with migration guidance.\n\n## Supported AI Providers\n\n| Subpath | Factory | LLM SDK |\n| --- | --- | --- |\n| `instrumentations/openai` | `createOpenAIInstrumentation` | `openai` |\n| `instrumentations/openai-agents` | `createOpenAIAgentsInstrumentation` | `@openai/agents` |\n| `instrumentations/anthropic` | `createAnthropicInstrumentation` | `@anthropic-ai/sdk` |\n| `instrumentations/bedrock` | `createBedrockInstrumentation` | `@aws-sdk/client-bedrock-runtime` |\n| `instrumentations/cohere` | `createCohereInstrumentation` | `cohere-ai` |\n| `instrumentations/langchain` | `createLangChainInstrumentation` | `@langchain/core` |\n| `instrumentations/llamaindex` | `createLlamaIndexInstrumentation` | `llamaindex` |\n| `instrumentations/togetherai` | `createTogetherAIInstrumentation` | `together-ai` |\n| `instrumentations/vertexai` | `createVertexAIInstrumentation` | `@google-cloud/vertexai` |\n| `instrumentations/aiplatform` | `createAIPlatformInstrumentation` | `@google-cloud/aiplatform` |\n\n## Context Options\n\n`capture()` accepts these context options:\n\n| Option      | Type                      | OTel Attribute          | Description                  |\n| ----------- | ------------------------- | ----------------------- | ---------------------------- |\n| `name`      | `string`                  | `latitude.capture.name` | Name for the capture context |\n| `tags`      | `string[]`                | `latitude.tags`         | Tags for filtering traces    |\n| `metadata`  | `Record<string, unknown>` | `latitude.metadata`     | Arbitrary key-value metadata |\n| `sessionId` | `string`                  | `session.id`            | Group traces by session      |\n| `userId`    | `string`                  | `user.id`               | Associate traces with a user |\n\n## Configuration Options\n\n### Smart Filtering\n\nBy default, only LLM-relevant spans are exported:\n\n```typescript\nnew LatitudeSpanProcessor(apiKey, project, {\n  disableSmartFilter: true, // Export all spans\n});\n```\n\n### Redaction\n\nPII redaction is enabled by default for security-sensitive attributes only:\n\n**Redacted by default:**\n\n- HTTP authorization headers\n- HTTP cookies\n- HTTP API key headers (`x-api-key`)\n- Database statements\n\n```typescript\nnew LatitudeSpanProcessor(apiKey, project, {\n  disableRedact: true, // Disable all redaction\n  redact: {\n    attributes: [/^password$/i, /secret/i], // Add custom patterns\n    mask: (attr, value) => \"[REDACTED]\",\n  },\n});\n```\n\n### Custom Filtering\n\n```typescript\nnew LatitudeSpanProcessor(apiKey, project, {\n  shouldExportSpan: (span) => span.attributes[\"custom\"] === true,\n  blockedInstrumentationScopes: [\"opentelemetry.instrumentation.fs\"],\n});\n```\n\n## Environment Variables\n\n| Variable                 | Default                                                             | Description            |\n| ------------------------ | ------------------------------------------------------------------- | ---------------------- |\n| `LATITUDE_TELEMETRY_URL` | `http://localhost:3002` (dev) / `https://ingest.latitude.so` (prod) | OTLP exporter endpoint |\n\n## Troubleshooting\n\n### Spans not appearing in Latitude\n\n1. **Check API key and project slug** — Must be non-empty strings\n2. **Verify instrumentations are registered** — Use `await registerLatitudeInstrumentations()`\n3. **Did `latitude.ready` reject with a migration error?** — The object-map form is no longer accepted. Import the selected subpath factories and pass their results as an array. See the migration section above.\n4. **Flush before exit** — Call `await latitude.flush()` or `await provider.forceFlush()`\n5. **Check smart filter** — Only LLM spans are exported by default. Use `disableSmartFilter: true` to export all spans\n6. **Ensure `capture()` wraps the code that creates spans** — `capture()` itself doesn't create spans; it only attaches context to spans created by instrumentations\n\n### No spans created inside `capture()`\n\n`capture()` only attaches context. You need:\n\n1. An active instrumentation (e.g., `@traceloop/instrumentation-openai`)\n2. That instrumentation to create spans for the operations inside your callback\n\n### Context not propagating\n\nEnsure you have a functioning OpenTelemetry context manager registered:\n\n```typescript\nimport { AsyncLocalStorageContextManager } from \"@opentelemetry/context-async-hooks\";\nimport { context } from \"@opentelemetry/api\";\n\ncontext.setGlobalContextManager(new AsyncLocalStorageContextManager());\n```\n\n`new Latitude()` does this automatically. For shared-provider setups, your app's existing OTel setup should already have this.\n\n## License\n\nMIT\n","readmeFilename":"README.md"}