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chirpz-ai

pandaprobe

open source agent engineering platform: traces, evals, and metrics to debug and improve your AI agents. Integrates with LangGraph, CrewAI, Claude Agent SDK, and more.

AI EngineeringTest & guardBuild agent workflow (SDK)Python
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创建于 2025-12-16 · 更新于 2026-10-13 · 今日第 13797 名
主要开发者

chirpz-ai/pandaprobe 排名第 13,797,有 790 个星标。

同类别比较

chirpz-ai/pandaprobe 排名第 13,797,此处有 8 个同类条目;RobustBench/robustbench 排名第 13,796。

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关键参数与规格
关键参数与规格
参数值
语言Python
类别AI Engineering
子类别Test & guard,Build agent workflow (SDK)
关键词Agent-ready APIs, Client integration, Evals, Experiment tracking
星标数790
分叉数122
贡献者2
创建日期2025-12-16
更新日期2026-10-13
1 天星标数0
7 天星标数5
排名13,797
上次排名13,691
排名变化-106
7 天星标排名5,703
上次 7 天星标排名5,710
7 天星标排名变化7
总星标排名13,497
上次总星标排名13,475
总星标排名变化-22
README 摘录

PandaProbe is an open source agent engineering platform. It helps teams collaboratively trace, evaluate, monitor, and debug AI agents. You can use PandaProbe cloud or self host the service. Documentation Visit our client library documentation for quickstart and explore advance integrations . PandaProbe Cloud Managed deployment by the PandaProbe team, generous free-tier, no credit card required. Self-host PandaProbe **Prerequisites:** Docker must be installed and running. Please read the Contributing Guide for instructions on setting up your development environment, building

from source, running tests, and submitting pull requests. License PandaProbe is licensed under Apache 2.

常见问题

记录了多少星标和分叉?

chirpz-ai/pandaprobe 有 790 个星标和 122 个分叉。

仓库排名是多少?

chirpz-ai/pandaprobe 排名第 13,797。

记录的语言和类别是什么?

chirpz-ai/pandaprobe 有 790 个星标,语言为 Python,类别为 AI Engineering。

哪个仓库排名最接近?

chirpz-ai/pandaprobe 与 RobustBench/robustbench 比较,后者排名第 13,796,有 790 个星标。

README

![](https://img.shields.io/badge/made by-Chirpz AI-blue)

What is PandaProbe?

PandaProbe is an open source agent engineering platform. It helps teams collaboratively trace, evaluate, monitor, and debug AI agents. You can use PandaProbe cloud or self host the service.

Documentation

Visit our client library documentation for quickstart and explore advance integrations.

PandaProbe Cloud

Managed deployment by the PandaProbe team, generous free-tier, no credit card required.

Self-host PandaProbe

Prerequisites: Docker must be installed and running.

git clone https://github.com/chirpz-ai/pandaprobe.git
cd pandaprobe
./start.sh

Once running, open:

Architecture

sequenceDiagram
    participant Client as 📡 SDK / HTTP Client
    participant API as ⚡ FastAPI
    participant Auth as 🔐 Auth Service
    participant IdP as 🌐 Supabase / Firebase
    participant Identity as 👥 Identity Service
    participant Trace as 🫆 Trace Service
    participant Eval as 🧪 Eval Service
    participant DB as 🗄️ PostgreSQL
    participant Redis as 📮 Redis
    participant Worker as ⚙️ Celery Worker
    participant LLM as 🤖 LLM Engine (LiteLLM)

    Note over Client,API: Management Plane (Bearer token)
    Client->>API: Authorization: Bearer 
    API->>Auth: Verify token
    Auth->>IdP: Validate with provider
    IdP-->>Auth: User identity
    Auth-->>API: Authenticated user
    API->>Identity: /user, /organizations, /projects
    Identity->>DB: Read / write
    DB-->>Identity: Result
    Identity-->>Client: Response

    Note over Client,API: Data Plane (API key)
    Client->>API: X-API-Key + X-Project-Name
    API->>Identity: Resolve org & project
    Identity-->>API: Project context

    API->>Trace: POST /traces
    Trace->>Redis: Enqueue ingestion job
    Redis-->>Client: 202 Accepted
    Redis->>Worker: Pick up job
    Worker->>DB: Persist trace + spans

    API->>Trace: GET /traces, /sessions
    Trace->>DB: Query with filters
    DB-->>Trace: Rows
    Trace-->>Client: Paginated response

    API->>Eval: POST /evaluations
    Eval->>Redis: Enqueue eval job
    Redis-->>Client: 202 Accepted
    Redis->>Worker: Pick up job
    Worker->>LLM: LLM-as-a-judge call
    LLM-->>Worker: Verdict + score
    Worker->>DB: Persist evaluation result

Services

Service Description Port
frontend Next.js dashboard 3000
app FastAPI application server 8000
worker Celery background worker —
beat Celery Beat scheduler —
postgres PostgreSQL 16 5432
redis Redis 7 (broker + cache) 6379

Contributing

We welcome contributions! Please read the Contributing Guide for instructions on setting up your development environment, building from source, running tests, and submitting pull requests.

Authors

Built by the Chirpz AI team. Contact sina@pandaprobe.com for enquiries.

License

PandaProbe is licensed under Apache 2.0 — see LICENSE for details.

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