> ## Documentation Index
> Fetch the complete documentation index at: https://docs.latitude.so/llms.txt
> Use this file to discover all available pages before exploring further.

# Haystack

> Connect your Haystack application to Latitude for observability.

## Overview

This guide shows you how to integrate **Latitude Telemetry** into an application built with **Haystack** (`haystack-ai`).

Latitude includes dedicated instrumentation for Haystack, so pipeline runs, generator calls, and tool invocations appear as traces.

<Check>
  You'll keep building pipelines exactly as you do today. Telemetry observes
  components, model calls, and tool calls as they happen.
</Check>

<Note>
  Haystack instrumentation is available in the **Python** SDK only.
</Note>

***

## Requirements

* A **Latitude account** and **API key**
* A **Latitude project slug**
* A project that uses **Haystack** (`haystack-ai`)
* A model provider key — the example below uses **OpenAI** (`OPENAI_API_KEY`)

***

## Steps

<Steps>
  <Step title="Install">
    <CodeGroup>
      ```bash pip theme={"theme":{"light":"github-light","dark":"github-dark"}}
      pip install latitude-telemetry haystack-ai
      ```

      ```bash uv theme={"theme":{"light":"github-light","dark":"github-dark"}}
      uv add latitude-telemetry haystack-ai
      ```

      ```bash poetry theme={"theme":{"light":"github-light","dark":"github-dark"}}
      poetry add latitude-telemetry haystack-ai
      ```
    </CodeGroup>
  </Step>

  <Step title="Initialize and use">
    ```python theme={"theme":{"light":"github-light","dark":"github-dark"}}
    import haystack
    from haystack.components.generators.chat import OpenAIChatGenerator
    from haystack.dataclasses import ChatMessage

    from latitude_telemetry import Latitude, capture

    latitude = Latitude(
        api_key="your-api-key",
        project="your-project-slug",
        instrumentations={"haystack": haystack},
    )

    def chat():
        generator = OpenAIChatGenerator(model="gpt-4o-mini")
        result = generator.run(messages=[ChatMessage.from_user("Hello")])
        return result["replies"][0].text

    capture("haystack-chat", chat)

    latitude.shutdown()
    ```
  </Step>
</Steps>

***

## What you get

Each pipeline run shows up as a trace with nested spans:

* **Pipeline / component spans** — the components that ran and their configuration
* **Generation spans** — model, input/output messages, and token usage
* **Tool spans** — tool calls with input arguments and output

Wrap a request or job with `capture()` to attach a `user_id`, `session_id`, `tags`, or `metadata` to every span produced inside.

***

## Seeing Your Traces

Once connected, traces appear automatically in Latitude:

1. Open your **project** in the Latitude dashboard
2. Each run shows the full hierarchy of component → generation → tool calls
3. Token usage and latency are aggregated at every level