Latitude Telemetry Integration
Prerequisite
A Latitude account and project are required for all telemetry approaches. Confirm the user has both before proceeding (Y/N). Without them, none of the methods work. Sign up at https://app.latitude.so.
Environment Variables
Prompt the user interactively for each value:
LATITUDE_API_KEY-- Ask the user for this (paste API key). It can be found in the Settings tab of their Latitude account.LATITUDE_PROJECT_ID-- Ask the user for this (number from URL). It is the number in the URL when inside a project, e.g. inhttps://app.latitude.so/projects/30403/versions/.../documents/...the project ID is30403.LATITUDE_PROMPT_PATH-- Ask the user: if they have a prompt saved in Latitude, use its path (e.g.wikipedia-article-generator). If not, use any string as a tag to group traces from that part of the code together in the Latitude project (e.g.nps-categorizer).LATITUDE_PROMPT_VERSION_UUID-- Defaults to"live". Only prompt if the user needs a specific version (UUID or "live").
The LLM provider API key (OpenAI, OpenRouter, Anthropic, etc.) depends on the user's project and is not prescribed here.
Choosing an Approach
Ask the user these questions in order:
1. Do you want to use Latitude as the gateway for LLM inference? (Y/N)
If yes, Latitude handles the LLM call -- the app sends the prompt path and parameters to Latitude, which calls the provider and streams back the response. Telemetry is handled automatically. Works in any language: use the SDK's prompts.run() (Python/TypeScript) or the HTTP API "Run a Prompt" endpoint for all other languages. See references/gateway.md. No further telemetry setup is needed.
If no, continue.
2. Are you using Latitude as a prompt manager? (Y/N)
If yes, they need the Latitude SDK (Python/TypeScript only) to fetch and render prompts from Latitude before calling the LLM directly. This applies alongside whichever telemetry approach they pick below. The sdk-telemetry reference includes instructions for this. If no, they construct messages directly in code.
3. How should telemetry be sent to Latitude?
Pick based on the user's language and observability needs:
-
Language has a Latitude SDK? (Y/N) (currently Python and TypeScript)
- Use SDK Telemetry. See references/sdk-telemetry.md.
-
No SDK available -- does the user need token/cost tracking? (Y/N)
- Yes, need token and cost tracking -- Use Raw OpenTelemetry (OTLP). This is significantly more complex: requires OpenTelemetry dependencies, manual two-span hierarchy, and ~20 span attributes. But it gives Latitude full observability including token counts, cost data, and latency breakdown. See references/raw-opentelemetry.md.
- No, want the simplest integration -- Use Create Log API. Just one HTTP POST with the conversation after the LLM call. No OpenTelemetry dependencies, no span management. Trade-off: Latitude only receives the conversation as a log entry -- no token counts, no cost data, no latency breakdown. See references/log-api.md.
Be explicit about this trade-off with the user: the Log API is far simpler to implement (a single HTTP call, no extra dependencies) but sacrifices usage and cost observability. If they care about tracking tokens and costs, they must use Raw OTLP despite the added complexity.
Approach Summaries
Gateway Mode (Any language)
Latitude acts as the LLM gateway -- the app sends the prompt path and parameters, Latitude calls the provider and returns the response. Telemetry is automatic. Use the SDK (prompts.run()) for Python/TypeScript, or the HTTP API "Run a Prompt" endpoint for any other language.
SDK Telemetry (Python, TypeScript)
The official SDK handles instrumentation automatically. Wrap LLM calls with a capture decorator/function and the SDK sends traces with full token/cost data. Minimal code required.
- Python:
latitude-telemetrypackage,@telemetry.capture()decorator - TypeScript:
@latitude-data/telemetrypackage,telemetry.capture()wrapper
Raw OpenTelemetry OTLP (Any language with OTel)
Send spans directly to https://gateway.latitude.so/api/v4/traces using any OpenTelemetry library. Create a parent span for the capture context and a child span for each LLM completion with latitude.* and gen_ai.* attributes. Full attribute reference in references/span-attributes.md.
Create Log API (Any language with HTTP)
POST the full conversation to /api/v3/projects/{id}/versions/{uuid}/documents/logs after the LLM call completes. Messages must be in PromptL format. No extra dependencies needed.
Latitude API Base URL
All API calls use https://gateway.latitude.so.