Installation

Usage

Latitude Docs

Latitude

PromptL

Changelog

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How to trace Google AI Platform calls with Latitude

Google AI Platform

Introduction

Get familiar with the terminology used in Latitude

Concepts

Quick start

Learn how to add providers into Latitude to use it in your prompts.

Setup Providers

Common questions about Anthropic provider

Anthropic

Azure

Google

Collaborate effectively by inviting your team members to your Latitude workspace.

Invite your team

Learn about the powerful features of the Latitude prompt editor.

Prompt Editor

Prompt Configuration

Playground

Latitude's version control system allows you to manage and track changes to your prompts over time.

Version control

Learn how to specify and enforce JSON output structure in your prompts.

JSON Output

Learn how to define tools in your prompts.

Tools

Some providers have specific rules that you need to follow when using them in your prompts.

Provider rules

Learn about the rules you need to follow when using the Anthropic provider in Latitude.

Anthropic provider rules

Learn about the rules you need to follow when using the Google provider in Latitude.

Google provider rules

Learn how Latitude uses caching to optimize your prompt executions

Cache

Learn how to migrate your prompts to PromptL

Migrate to Promptl

Learn how to create and connect evaluations to your prompts.

Overview

LLM as judge evaluations

Learn about the different templates of LLM-as-judge evaluations Latitude comes preconfigured with

Evaluation Templates

Evaluate your LLM output with human feedback or code-based evaluations, and push the results to Latitude.

Code / Manual evaluations

Learn how to run evaluations on your prompts.

Running Evaluations

Traces

Learn how to use the logs page to monitor your prompts and evaluate their performance.

Logs

Learn how to upload logs to Latitude and start evaluating your production systems.

Upload logs

Learn how to create and manage your datasets.

Datasets

Learn how to access and use Latitude's API to run your prompts.

API Access

Integrate Latitude's SDK into your Typescript project

Typescript

Integrate Latitude's SDK into your Python project

Python

How to trace Aleph Alpha calls with Latitude

Aleph Alpha

How to trace Anthropic calls with Latitude

How to trace AWS Bedrock calls with Latitude

AWS Bedrock

How to trace AWS Sagemaker calls with Latitude

AWS Sagemaker

How to trace Azure OpenAI calls with Latitude

Azure OpenAI

Cohere

DSPy

Groq

How to trace Haystack calls with Latitude

Haystack

How to trace Langchain calls with Latitude

Langchain

LiteLLM

How to trace LlamaIndex calls with Latitude

LlamaIndex

How to trace MistralAI calls with Latitude

MistralAI

Ollama

OpenAI

How to trace Replicate calls with Latitude

Replicate

How to trace Together calls with Latitude

Together

How to trace Transformers calls with Latitude

Transformers

How to trace Vercel AI SDK calls with Latitude

Vercel AI SDK

How to trace Vertex AI calls with Latitude

Vertex AI

Watsonx

Integrate Latitude's SDK into your Rust project

Rust

Learn how to set up a local Latitude instance for development

Development

Learn about the general structure of a PromptL prompt

Structure

Learn how to configure your PromptL prompts

Configuration

Messages

Learn how to define, interpret, and interpolate variables in PromptL

Variables

Learn how to add content based on conditions in your prompts

Conditional Statements

Learn how to add multiple messages based on loop conditions in your prompts

Loops and Iteration

Learn how to install and use PromptL in your project

Quick Start

Learn how to use PromptL with different LLM providers

Use PromptL with your Provider

Chains and Steps are used to create multi-step prompts that can interact with the AI model in stages.

Chains and Steps

Learn how to reference other prompts in PromptL

Getting started

Prompt Manager

Evaluations

Traces

Logs

Datasets

HTTP API

Integrations

Cookbook

Self-hosting

Google AI Platform

Installation

Usage

Getting started

Prompt Manager

Evaluations

Traces

Logs

Datasets

HTTP API

Integrations

Cookbook

Self-hosting

​Installation

​Usage

Installation

Usage