Breadcrumb
Breadcrumb is a self-hostable, TypeScript-native LLM tracing tool that allows developers to explore and monitor AI agent interactions through a simple integration process.
https://breadcrumb.sh/?ref=producthunt
Product Information
Updated:Mar 27, 2026
What is Breadcrumb
Breadcrumb is an open-source tool designed for tracing and monitoring Large Language Model (LLM) interactions, similar to Plausible but specifically built for AI agents. It provides developers with a comprehensive way to track, analyze and understand how their AI models are performing in real-time. As a self-hostable solution, it gives users full control over their data while maintaining transparency in AI operations.
Key Features of Breadcrumb
Breadcrumb is a self-hostable, TypeScript-native LLM tracing tool that helps developers monitor and analyze their AI agent interactions. It provides real-time tracking of AI calls, including prompts, responses, token usage, latency, and costs, with simple integration requiring minimal code changes. The tool offers transparent monitoring while keeping data within your own infrastructure.
Simple Integration: Requires only three lines of code to implement, with no complex configuration files or decorators needed for setup
Comprehensive Tracing: Captures detailed information about each AI interaction including prompts, responses, token counts, latency, and associated costs
Cost Monitoring: Provides detailed breakdown of token usage and costs per trace, helping identify expensive operations before they impact the budget
Open Source Architecture: Fully open-source solution that can be deployed on various platforms like Railway, Fly, or custom servers with complete control over the infrastructure
Use Cases of Breadcrumb
AI Development Debugging: Helps developers track and debug AI interactions during development by providing detailed traces of each call
Cost Optimization: Enables teams to monitor and optimize AI-related expenses by tracking token usage and costs in real-time
Performance Monitoring: Allows tracking of AI service performance and latency for maintaining service quality and identifying bottlenecks
Pros
Easy implementation with minimal code changes
Complete control over data with self-hosting options
Transparent cost and performance monitoring
Cons
Requires self-hosting infrastructure setup
Limited to Vercel AI SDK integration out of the box
How to Use Breadcrumb
Install the SDK: Install the Breadcrumb SDK packages (@breadcrumb-sdk/core and @breadcrumb-sdk/ai-sdk) in your project
Initialize Breadcrumb: Import and initialize the core SDK with your API key and base URL: import { init } from '@breadcrumb-sdk/core'; const bc = init({ apiKey, baseUrl });
Initialize AI SDK integration: Import and initialize the AI SDK integration: import { initAiSdk } from '@breadcrumb-sdk/ai-sdk'; const { telemetry } = initAiSdk(bc);
Add telemetry to AI calls: Pass the telemetry helper to your AI function calls using experimental_telemetry parameter: generateText({ experimental_telemetry: telemetry('your-trace-name') })
View traces: Access your traces dashboard at app.breadcrumb.sh to view prompt details, responses, latency, token usage and costs for all AI calls
Optional: Self-host: Deploy Breadcrumb on your own infrastructure using platforms like Railway, Fly.io or your own servers if you want to self-host
Breadcrumb FAQs
Breadcrumbs are navigation links typically located at the top of a webpage that show users their current location within a website's hierarchy. They start with 'Home' and display the path through categories to the current page, helping users understand where they are and navigate back through previous levels.
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