Build observable AI agents with Temporal’s new Braintrust integration — combine durable workflow execution with LLM tracing, prompt versioning, evals, and cost/latency metrics so you can ship reliable, debuggable agents in production.

Temporal's platform is a central hub for developers interested in distributed systems, workflow orchestration, and fault-tolerant computing. Through articles, tutorials, and documentation, Temporal offers insights into building resilient and scalable distributed applications. Developers can learn about workflow automation, state management, and handling failure scenarios using Temporal's workflow engine and coordination APIs.

Temporal

Temporal and Braintrust have integrated to solve durability and observability challenges in AI agent development. The integration combines Temporal's durable workflow execution (automatic retries, state persistence) with Braintrust's LLM observability (tracing, prompt versioning, evals, cost metrics). A practical deep research agent example demonstrates how to set up the integration with just a few lines of code: wrapping the OpenAI client, adding the Braintrust plugin to Temporal workers, and managing prompts through Braintrust's UI. This enables developers to build production-ready AI agents that survive failures, provide full visibility into LLM calls, and allow prompt iteration without code deployments.

Building observable AI agents: Temporal now integrates with Braintrust

The problem: AI agents in the real world #