Results for "observability"

Open-source observability for GenAI/LLM applications based on OpenTelemetry with 25+ integration backends.

A high-performance observability data pipeline for collecting, transforming, and routing logs and metrics. Real-time data processing with 50+ sources and sinks including Kafka, S3, and Elasticsearch. Ideal for AI/ML log processing and data ingestion. MPL 2.0 licensed.

Cloud-native LLMOps platform with prompt management, versioning, and observability. Features collaborative prompt editing, A/B testing, and cost analytics. Apache 2.0 licensed.

OpenTelemetry-native LLM observability platform with GPU monitoring, evaluations, prompt management, and guardrails.

AI-powered multi-cluster Kubernetes dashboard with GPU workload monitoring, AI pipeline observability, and CNCF ecosystem integrations. Apache 2.0 licensed.

Persistent agent-memory system that captures session observations, summarizes them, and retrieves relevant context across coding-agent sessions. Apache-2.0 licensed.

Type-safe AI agent framework from the creators of Pydantic. Model-agnostic with 20+ providers, built-in observability via Logfire, MCP/A2A protocol support, and YAML/JSON agent definitions. MIT licensed.

TypeScript-first agent framework with built-in RAG, workflows, tool integrations, observability and observational memory.

Production-ready LLM evaluation platform.

Zero-dependency AI agent production-readiness toolkit with GitHub Actions score and risk-profile gates, prompt-injection fixtures, machine-readable results, and reproducible LangGraph traces. MIT licensed.

AI observability & evaluation platform.

Cloud-native search engine for observability. Open-source alternative to Datadog, Elasticsearch, Loki, and Tempo with native vector search support.

Workflow orchestration framework for building resilient data and ML pipelines. Python-native with modern observability and 200+ integrations. Apache 2.0 licensed.

Runtime-evidence toolkit for agents that coordinates PyTorch Profiler and Nsight Systems captures, preserves native traces, and compares GPU-kernel and inference runs. MIT licensed.

Open-source scientific and technical publishing system built on Pandoc. Create dynamic content with Python, R, Julia, and Observable. MIT licensed.

Curated list of AI agent frameworks, coding agents, browser agents, tools, platforms and research.

Cloud-native orchestration platform for developing and maintaining data assets including ML models. Declarative programming model with integrated lineage and observability. Apache 2.0 licensed.

#1 open-source LLM observability platform.

Open-source LLM observability platform with request logging, caching, prompt management, rate limiting, and cost analytics. Apache 2.0 licensed.

LLM gateway with a unified OpenAI-compatible API across providers, routing, load balancing, fallbacks, guardrails, and observability. Apache 2.0 licensed.

Unified metadata platform for data discovery, observability, and governance. Column-level lineage, semantic search, and team collaboration with 70+ data service connectors. Apache 2.0 licensed.

Blazing fast AI Gateway to route 200+ LLMs with unified API. Integrated guardrails, load balancing, fallbacks, and cost tracking. MIT licensed.

Open-source evaluation and testing library for LLM agents. Red teaming, vulnerability scanning, RAG evaluation, and safety testing with modular architecture. Apache 2.0 licensed.

Open-source agent engineering platform with prompt management, evaluations, and optimization. Features prompt playground, LLM-as-judge evals, and GEPA prompt optimizer for production LLM features. LGPL-3.0 licensed.