Ultra-fast headless browser written in Zig specifically for AI and automation workloads. It runs JavaScript natively, uses 9x less memory than Chrome headless, and targets sub-100ms page execution.
Literal AI is an observability and evaluation platform for conversational AI. It captures multi-step threads, scores responses, and integrates with Chainlit.
References specific files for sparse matrix operations, explains transform usage, compares with previous approaches, and sets data formatting context for development.
Sets context for model training by referencing pipeline files, establishing working context, and preparing for pipeline work with relevant documentation.
Loads LLM configuration files to context, importing specific terminology, model configurations, and establishing baseline terminology for AI discussions.
Open-source LLM observability and prompt management platform. It tracks conversations, errors, costs, and user feedback for production AI applications.
Heterogeneous team via the multiagent coordinator config — a coordinator runs three specialists (web-search researcher, file-reading librarian, rules-based pricer) with scoped toolsets to assemble a sales proposal. Covers the multiagent field, the thread_created / thread_message_received event types, and per-role to…
Entry-point tutorial for the Claude Managed Agents API. Walks through agent / environment / session creation, file mounts, and the streaming event loop by getting an agent to fix three planted bugs in a calc.py package.
End-to-end production story for Managed Agents — vault-backed MCP credentials, the session.status_idled webhook pattern for human-in-the-loop without long-lived connections, and the resource lifecycle CRUD verbs.
Server-side prompt versioning — create v1, evaluate against a labelled test set, ship v2, detect a regression, roll back by pinning sessions to version 1. Covers agents.update, version pinning on sessions.create, and where the review gate moves when prompts are not code.
Build a grade-and-revise loop with Outcomes: a writer drafts a cited research brief, a stateless grader fetches every URL and checks every quote against a rubric, and feedback drives revisions until the brief passes. Covers user.define_outcome, the span.outcome_evaluation_* events, and how to write a rubric the grad…