Open-source, OpenTelemetry-compliant LLM observability tool by Scale3Labs. It traces calls to all major LLM providers and frameworks with a self-hostable UI.
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.