awesome-ChatGPT-repositories
Section: Openai · Uncomplicated Observability for Python and beyond! 🪵🔥
Entry
Appears in 4 awesome lists
AI observability platform from the Pydantic team with a unique angle: all trace data is SQL-queryable (PostgreSQL-compatible), so coding agents can query production observability data directly via the Logfire MCP server. Full-stack OTEL tracing covers both the AI layer and backend — letting you…
Section: Openai · Uncomplicated Observability for Python and beyond! 🪵🔥
Section: Observability & Tracing · AI observability platform from the Pydantic team with a unique angle: all trace data is SQL-queryable (PostgreSQL-compatible), so coding agents can query production observability data directly via the Logfire MCP server. Full-stack OTEL tracing covers both the AI layer and backend — letting you…
Section: Logging · The observability platform for Python, from the makers of Pydantic.
Section: Monitoring and Observability · AI observability platform for production LLM and agent systems.
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
Open-source AI observability & evaluation platform (Arize) — OpenTelemetry-native tracing for agents, LLM-as-judge evals, versioned datasets & experiments for prompt regression testing, prompt management with version control and replay, plus an MCP endpoint so Claude Code/Cursor can query traces…
The most widely adopted self-hostable LLM observability platform: traces every agent step, manages prompt versions, and runs evals in one tool. Preferred over cloud-only alternatives when data residency or cost control is a constraint.
industrial-grade ASR toolkit; 170× realtime on GPU, 50+ languages, built-in VAD, punctuation, speaker diarization, and emotion detection. Includes non-autoregressive SenseVoice and LLM-based Fun-ASR-Nano models.
AutoGPT provides accessible AI tools for building and using AI agents, offering a comprehensive framework including Forge for agent creation, agbenchmark for performance evaluation, a leaderboard for competition, a user-friendly UI, and CLI for seamless integration and management github | github…
OpenAI's cookbook includes examples of prompt engineering.
Open-source LLM observability proxy (YC W23) with the largest open-source pricing database (300+ models). One-line proxy integration provides cost tracking, token monitoring, session tracing, and prompt versioning across providers. The AI Gateway component handles request routing and caching with…
Framework for evaluating LLMs and LLM systems with an open-source registry of 100+ community-contributed benchmarks. MIT licensed.