工具说明为英文。

LLM 可观测性

LLM 应用的监控、追踪、评估和质量管理。

用途

活跃度

排序方式

117

工具排名

Ranked by creation date, newest first; undated entries come last. 原始值保留各自的数据窗口;计算变化需要 7 天内至少两次测量。

  1. 1
    活跃

    🟪 Open-source runtime that ships any LangGraph or Google ADK agent as a production-ready FastAPI service. Bundled , AG-UI copilotkit API, chat UI, 15+ guardrails, MCP, OpenTelemetry, OIDC. One pip install. Self-hosted, no vendor lock-in.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/Idun-Group/idun-agent-platform ~/.claude/skills/idun-agent-platform

    199GitHub 星标+1 (+0.51 %)
  2. 2
    活跃

    A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.

    github实测增长打开来源 ↗

    1 766GitHub 星标+7 (+0.40 %)
  3. 3
    活跃

    MCP server for Langfuse LLM observability — trace and observation analysis.

    mcp实测增长打开来源 ↗

    安装 claude mcp add langfuse -- npx langfuse-observability-mcp-server

    80GitHub 星标+2 (+2.6 %)
  4. 4
    活跃

    A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability

    github实测增长打开来源 ↗

    105GitHub 星标稳定
  5. 5

    智能体
    休眠

    A Multi-Agent System (MAS) evaluation framework using PydanticAI that generates and evaluates scientific paper reviews through a three-tiered assessment approach: traditional metrics, LLM-as-a-Judge, and graph-based complexity analysis.

    github实测增长打开来源 ↗

    2GitHub 星标稳定
  6. 6

    其他
    活跃

    Mastra is the modern TypeScript framework for AI-powered applications and agents.

    github实测增长打开来源 ↗

    27 745GitHub 星标+144 (+0.52 %)
  7. 7
    活跃

    🫖 Status page with uptime monitoring & API monitoring as code 🫖

    github实测增长打开来源 ↗

    9 072GitHub 星标+27 (+0.30 %)
  8. 8

    其他
    活跃

    the LLM vulnerability scanner

    github实测增长打开来源 ↗

    9 128GitHub 星标+22 (+0.24 %)
  9. 9

    其他
    活跃

    Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI…

    github实测增长打开来源 ↗

    24 872GitHub 星标+162 (+0.66 %)
  10. 10

    其他
    活跃

    Open source observability platform for logs, metrics, traces, RUM, Session replay, pipelines, SLO and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage…

    github实测增长打开来源 ↗

    21 666GitHub 星标+72 (+0.33 %)
  11. 11

    智能体
    活跃

    eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.

    github实测增长打开来源 ↗

    12 069GitHub 星标+4 (+0.03 %)
  12. 12

    其他
    活跃

    SigNoz is an open-source, OpenTelemetry-native observability platform for your team and their AI agents. Get logs, metrics, and traces in one tool with features like APM, distributed tracing, log management, infra monitoring, etc. Combined…

    github实测增长打开来源 ↗

    32 030GitHub 星标+47 (+0.15 %)
  13. 13

    其他
    活跃

    A high-performance observability data pipeline.

    github实测增长打开来源 ↗

    22 516GitHub 星标+19 (+0.08 %)
  14. 14

    活跃

    Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

    github实测增长打开来源 ↗

    23 791GitHub 星标+50 (+0.21 %)
  15. 15

    智能体
    活跃

    The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models…

    github实测增长打开来源 ↗

    27 837GitHub 星标+78 (+0.28 %)
  16. 16

    其他
    活跃

    eBPF-based Networking, Security, and Observability

    github实测增长打开来源 ↗

    25 088GitHub 星标+53 (+0.21 %)
  17. 17

    其他
    活跃

    The fastest path to AI-powered full stack observability, even for lean teams.

    github实测增长打开来源 ↗

    80 446GitHub 星标+64 (+0.08 %)