See what needs to be fixed in your AI agent

Latitude traces every step your agent takes — every tool call, every reasoning turn — so when something breaks, you know exactly where in the chain it went wrong.

See what needs to be fixed in your AI agent

Latitude traces every step your agent takes — every tool call, every reasoning turn — so when something breaks, you know exactly where in the chain it went wrong.

See what needs to be fixed in your AI agent

Latitude traces every step your agent takes — every tool call, every reasoning turn — so when something breaks, you know exactly where in the chain it went wrong.

Go to app

Book demo

Under

10 minutes

to full agent trace visibility

Save up to

80% of time

going through logs manually

Most observability tools are built for APIs, not agents. Latitude is different.

Other observability tools tell you something failed. Latitude tells you where in the chain, and why.

Multi-step traces

See where in the chain your agent went wrong, not just what it returned

Tool call visibility

Know exactly which tool was called, with what input, and what it returned

Reasoning observability

Follow your agent's decision path turn by turn

Acquire full observability in minutes

You can set up Latitude and start monitoring your LLMs in less than 10 minutes

Go to app

Observability

Human feedback

Failure discovery

Evals

Observability

Capture real inputs, outputs, and context from live traffic. Understand what your system is actually doing, not what you expect it to do.

View docs

Full traces

Observe your AI’s behaviour in the most comprehensive way

Usage statistics

Keep track of the token usage and regulate expenses

Observability

Human feedback

Failure discovery

Playground

Evals

Observability

Capture real inputs, outputs, and context from live traffic. Understand what your system is actually doing, not what you expect it to do.

Full traces

Observe your AI’s behaviour in the most comprehensive way

Usage statistics

Keep track of the token usage and regulate expenses

Observe

Monitor agent behaviour

Capture real inputs, outputs, and context from live traffic to understand what your agent is actually doing

Monitor agent behaviour

Capture real inputs, outputs, and context from live traffic to understand what your agent is actually doing

Annotate

Flag what went wrong

Review real agent responses and annotate where things went off. That signal is what drives everything next.. Turn intent into a signal the system can learn from.

Flag what went wrong

Review real agent responses and annotate where things went off. That signal is what drives everything next.. Turn intent into a signal the system can learn from.

Reflect

See what keeps going wrong

Automatically group failures into recurring issues, detect common failure modes and keep an eye on escalating issues.

See what keeps going wrong

Automatically group failures into recurring issues, detect common failure modes and keep an eye on escalating issues.

Start with visibility

Start with visibility. Grow into reliability.

Start the reliability loop with lightweight instrumentation. Go deeper when you’re ready.

View docs

Providers

OpenAI

Anthropic

Azure

Google AI Platform

Amazon Bedrock

Cohere

Together AI

Vertex AI

Gemini

Groq

Mistral AI

Ollama

LiteLLM

Replicate

AWS SageMaker

Hugging Face Transformers

Aleph Aplha

IBM watsonx.ai

import { LatitudeTelemetry } from '@latitude-data/telemetry'
import OpenAI from 'openai'

const telemetry = new LatitudeTelemetry(
  process.env.LATITUDE_API_KEY,
  { instrumentations: { openai: OpenAI } }
)

async function generateSupportReply(input: string) {
  return telemetry.capture(
    {
      projectId: 123, // The ID of your project in Latitude
      path: 'generate-support-reply', // Add a path to identify this prompt in Latitude
    },
    async () => {
      const client = new OpenAI()
      const completion = await client.chat.completions.create({
        model: 'gpt-4o',
        messages: [{ role: 'user', content: input }],
      })
      return completion.choices[0].message.content
    }
  )
}

TypeScript

Python

Providers

OpenAI

Anthropic

Azure

Google AI Platform

Amazon Bedrock

Cohere

Together AI

Vertex AI

Gemini

Groq

Mistral AI

Ollama

LiteLLM

Replicate

AWS SageMaker

Hugging Face Transformers

Aleph Aplha

IBM watsonx.ai

import { LatitudeTelemetry } from '@latitude-data/telemetry'
import OpenAI from 'openai'

const telemetry = new LatitudeTelemetry(
  process.env.LATITUDE_API_KEY,
  { instrumentations: { openai: OpenAI } }
)

async function generateSupportReply(input: string) {
  return telemetry.capture(
    {
      projectId: 123, // The ID of your project in Latitude
      path: 'generate-support-reply', // Add a path to identify this prompt in Latitude
    },
    async () => {
      const client = new OpenAI()
      const completion = await client.chat.completions.create({
        model: 'gpt-4o',
        messages: [{ role: 'user', content: input }],
      })
      return completion.choices[0].message.content
    }
  )
}

TypeScript

Python

Instrument once

Add OTEL-compatible telemetry to your existing LLM calls to capture prompts, inputs, outputs, and context.

This gets the loop running and gives you visibility from day one

Learn from production

Review traces, add feedback, and uncover failure patterns as your system runs.

Steps 1–4 of the loop work out of the box

Go further when it matters

Use Latitude as the source of truth for your prompts to enable automatic optimization and close the loop.

The full reliability loop, when you’re ready

OpenAI

Anthropic

Azure

Google AI Platform

Amazon Bedrock

Cohere

Together AI

Vertex AI

Gemini

Groq

Mistral AI

Ollama

LiteLLM

Replicate

AWS SageMaker

Hugging Face Transformers

Aleph Aplha

IBM watsonx.ai

import { LatitudeTelemetry } from '@latitude-data/telemetry'
import OpenAI from 'openai'

const telemetry = new LatitudeTelemetry(
  process.env.LATITUDE_API_KEY,
  { instrumentations: { openai: OpenAI } }
)

async function generateSupportReply(input: string) {
  return telemetry.capture(
    {
      projectId: 123, // The ID of your project in Latitude
      path: 'generate-support-reply', // Add a path to identify this prompt in Latitude
    },
    async () => {
      const client = new OpenAI()
      const completion = await client.chat.completions.create({
        model: 'gpt-4o',
        messages: [{ role: 'user', content: input }],
      })
      return completion.choices[0].message.content
    }
  )
}

TypeScript

Python

OpenAI

Anthropic

Azure

Google AI Platform

Amazon Bedrock

Cohere

Together AI

Vertex AI

Gemini

Groq

Mistral AI

Ollama

LiteLLM

Replicate

AWS SageMaker

Hugging Face Transformers

Aleph Aplha

IBM watsonx.ai

import { LatitudeTelemetry } from '@latitude-data/telemetry'
import OpenAI from 'openai'

const telemetry = new LatitudeTelemetry(
  process.env.LATITUDE_API_KEY,
  { instrumentations: { openai: OpenAI } }
)

async function generateSupportReply(input: string) {
  return telemetry.capture(
    {
      projectId: 123, // The ID of your project in Latitude
      path: 'generate-support-reply', // Add a path to identify this prompt in Latitude
    },
    async () => {
      const client = new OpenAI()
      const completion = await client.chat.completions.create({
        model: 'gpt-4o',
        messages: [{ role: 'user', content: input }],
      })
      return completion.choices[0].message.content
    }
  )
}