PandaProbe Cloud

PandaProbe: The Ultimate Fully Managed Agent Engineering Platform

In the rapidly evolving landscape of artificial intelligence, shipping reliable agents requires more than just code; it requires a robust infrastructure for tracing, evaluation, and monitoring. PandaProbe Cloud provides an industry-leading solution for Agent Engineering, offered as a fully managed service by Chirpz AI. By utilizing PandaProbe, development teams can focus on building high-quality agents without the operational overhead of managing complex tooling and infrastructure.

What is PandaProbe Cloud?

PandaProbe Cloud is a full-stack tracing, evaluation, and monitoring platform designed specifically for modern AI agent development. It is the hosted version of the PandaProbe open-source project, optimized for teams that want to ship better agents faster. PandaProbe Cloud handles all the heavy lifting—from trace ingestion to storage and dashboards—allowing engineers to concentrate on agent logic and performance improvements.

With PandaProbe, your team gets a "zero infrastructure" experience. There are no servers to provision, no capacity planning to worry about, and no external API keys required for evaluations. It is a comprehensive ecosystem that bridges the gap between raw agent development and production-ready reliability.

Key Features of PandaProbe Cloud

PandaProbe Cloud is packed with features that simplify the Agent Engineering lifecycle. Below are the core capabilities that make PandaProbe the preferred choice for scaling AI projects:

No Infrastructure to Manage

One of the primary benefits of PandaProbe Cloud is the elimination of server management. The platform provides managed trace ingestion, storage, and intuitive dashboards. You can say goodbye to the days of provisioning and scaling servers, as PandaProbe handles everything in a hosted environment.

Managed Evaluation LLM and Embeddings

Unlike other tools that require you to bring your own API keys for evaluation, PandaProbe Cloud runs the evaluation LLM-as-judge and embedding models for you. This built-in functionality ensures that your Agent Engineering workflow is seamless and cost-effective, with no external dependencies to configure.

Seamless Auto-Scaling

As your project grows, PandaProbe Cloud grows with you. It is built to handle traffic spikes, expanding engineering teams, and enterprise-level volumes without requiring manual capacity planning. Whether you are a solo developer or an enterprise organization, PandaProbe ensures consistent performance.

SSO & Permissions

For growing teams, security is paramount. PandaProbe Cloud includes Role-Based Access Control (RBAC) and Single Sign-On (SSO) capabilities. These features are designed to meet enterprise security requirements, ensuring that only authorized personnel can access sensitive trace data and configurations.

Continuous Monitoring and Scheduling

PandaProbe features a built-in evaluation scheduler. This allows your team to run evaluations against production traffic on a daily, hourly, or custom cron-based schedule. Continuous monitoring ensures that any regressions in agent performance are caught and addressed immediately.

Enterprise-Grade SLA and Support

Shipping with confidence requires reliable support. PandaProbe Cloud offers dedicated support channels and Service Level Agreement (SLA) guarantees, providing the peace of mind needed to deploy AI agents in mission-critical environments.

How to Use PandaProbe

Getting started with PandaProbe is designed to be a quick and painless process. Developers can integrate PandaProbe into their existing workflow using the following steps:

1. Install the PandaProbe Skills: Open your terminal and use the following command to add the necessary skills to your environment:

   npx skills add chirpz-ai/pandaprobe-skills

2. Sign In: Access the PandaProbe Cloud dashboard by signing in through the official platform.
3. Integrate Tracing: Utilize the docs to begin full-stack tracing of your agent's activities.
4. Run Evaluations: Start using the managed LLM-as-judge to evaluate your agent's performance immediately.

Use Case: Why Choose PandaProbe Cloud?

PandaProbe Cloud is ideal for teams that want to transition from "running tooling" to "shipping agents." While the open-source version of PandaProbe is available for those who prefer self-hosting, the Cloud version offers significant advantages:

• Efficiency: Setup time is reduced from days or weeks to mere minutes.
• Focus: Your engineering team saves time that would otherwise be spent on infrastructure maintenance, redirecting that energy into improving agent behavior.
• Reliability: With managed storage, retention, and dedicated support, the risks associated with self-managed tooling are eliminated.

PandaProbe Pricing Plans

PandaProbe offers a variety of plans to suit every stage of development, from hobbyists to large-scale enterprises.

Hobby Plan

• Cost: $0 /forever
• Includes: 100 base trace ingestions/mo, 100 trace eval runs/mo, 10 session eval runs/mo, human annotation, and 1 seat.

Pro Plan

• Cost: $29 /month
• Includes: Everything in Hobby, plus 5k base traces/mo, 5k trace eval runs/mo, 100 session eval runs/mo, 2 seats, and email support.

Startup Plan

• Cost: $299 /month
• Includes: Everything in Pro, plus 50k base traces/mo, 50k trace eval runs/mo, 1k session eval runs/mo, 10 seats, high rate limits, and a private Slack channel.

Enterprise Plan

• Cost: Custom
• Includes: Everything in Startup, plus hybrid/self-hosted options, custom SSO, unlimited seats, team trainings, and a dedicated engineering support team.

FAQ

What is PandaProbe Cloud?

PandaProbe Cloud is a fully managed platform for Agent Engineering, providing tracing, evaluation, and monitoring services without the need for infrastructure management.

How is Cloud different from self-hosting?

While the open-source (OSS) version requires you to self-host trace ingestion, storage, and evaluation models, PandaProbe Cloud provides a hosted environment where everything is managed for you, including the evaluation LLMs and embeddings.

Do I need my own API keys to run evaluations?

No. When using PandaProbe Cloud, the evaluation LLMs and embedding models are managed by the platform, so no external API keys are required.

Is there a free plan available?

Yes, PandaProbe offers a Hobby plan that is $0 forever, allowing you to get started with 100 trace ingestions per month without a credit card.

Can I migrate from self-hosted to Cloud?

Yes, PandaProbe supports migration between self-hosted and Cloud environments to ensure your team has the flexibility it needs as it scales.

How quickly can I get started?

Setup for PandaProbe Cloud takes only a few minutes, compared to the days or weeks often required for self-hosting infrastructure.