Is pandaprobe free to use?

pandaprobe is open source under the Apache-2.0 licence. There is no licence fee and no seat count — you can self-host it or, where the project offers one, pay a vendor for a managed version instead.

What does pandaprobe do?

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

What is pandaprobe written in?

pandaprobe is primarily written in Python. Its source is publicly available at https://github.com/chirpz-ai/pandaprobe, and it has 787 GitHub stars.

pandaprobe: Open Source Monitoring & Observability

pandaprobe is a free, open source monitoring & observability project written in Python and released under Apache-2.0. It has 787 GitHub stars, 119 forks and 19 open issues, and was last pushed 23 days ago. On this registry it ranks #173 of 191 tracked projects in Monitoring & Observability, with 5 head-to-head comparisons available.

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:

Dashboard — http://localhost:3000
API reference — http://localhost:8000/scalar

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 <idp_token>
    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 [email protected] for enquiries.

License

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