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PiMax Agent Diagnosis

PiMax is the first failure diagnosis and optimization engine for AI agents. Built from the ground up to maximize your uptime and optimize your agent’s operations, PiMax represents a breakthrough in agentic AI reliability and performance.

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What Makes PiMax Different

Unlike traditional debugging tools or generic evaluation frameworks, PiMax is trained on failure modes from thousands of real agentic failures. This means PiMax doesn’t just theoretically understand what can go wrong—it has learned from actual production failures, edge cases, and systematic issues that have plagued real-world AI agent deployments. Think of PiMax as your most experienced AI agent diagnostician who has analyzed countless production incidents, understood the root causes of agent failures, and developed an intuitive understanding of how to prevent them before they impact your users.

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Comprehensive Failure Detection

PiMax evaluates and detects over 20 different failure modes that can affect your AI agents:

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Core Agent Failures

  • Hallucinations (Content-based) - Detecting when agents generate factually incorrect information
  • Hallucinations (Tool-based) - Identifying false tool capabilities or non-existent functions
  • Information Retrieval Quality - Assessing the accuracy and relevance of retrieved data
  • Tool Response Misreading - Catching misinterpretation of tool outputs
  • Task Misunderstanding - Detecting when agents miscomprehend their objectives

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Operational Issues

  • Wrong Tool Usage - Identifying inappropriate tool selection for given tasks
  • Output Format Issues - Catching formatting problems and structural inconsistencies
  • Instruction Violations - Detecting when agents ignore or misfollow guidelines
  • Tool Configuration Problems - Identifying setup and parameter issues
  • Environment Issues - Detecting runtime and deployment problems

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System-Level Failures

  • HTTP Errors - Monitoring network and API communication issues
  • Resource Limits/Timeouts - Detecting performance bottlenecks and constraints
  • Context Loss - Identifying when agents lose track of conversation or task context
  • Unnecessary Resource Usage - Spotting inefficient operations and waste
  • Objective Drift - Detecting when agents stray from their intended goals

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Quality and Consistency Issues

  • Agent Assignment Issues - Identifying routing and delegation problems
  • Topic Alignment - Ensuring agents stay on-topic and relevant
  • Data Accuracy - Verifying the correctness of processed information
  • Content Degradation - Detecting quality loss over time or iterations
  • Information Loss - Identifying when critical data gets dropped
  • Output Consistency - Ensuring reliable and predictable responses

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How PiMax Works

PiMax operates by analyzing your agent traces and applying its deep understanding of failure patterns learned from thousands of real-world scenarios. When you submit traces to PiMax, it:
  1. Processes execution flows - Analyzes the complete agent workflow from start to finish
  2. Pattern matches against known failures - Leverages its training on real failure modes to identify issues
  3. Generates diagnostic insights - Provides detailed analysis of detected problems and their severity
  4. Suggests optimizations - Recommends specific fixes and improvements based on proven solutions
  5. Learns from your system - Continuously improves its understanding of your specific agent patterns

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Getting Started with PiMax

Using PiMax is straightforward: simply capture traces from your code and share them with Picept. PiMax supports all major agent development platforms:
  • OpenAI Agent SDK - Full integration with OpenAI’s agent framework
  • Langchain - Complete support for Langchain-based agents
  • Custom OpenAI clients - Works with any OpenAI-compatible implementation
  • Custom Anthropic clients - Supports Claude-based agent implementations
PiMax Diagnostic Output Interface

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Why PiMax Exists

We’ve witnessed engineering teams spend countless hours debugging agent failures, analyzing logs, and trying to understand why their AI agents behave unpredictably in production. Traditional testing approaches often miss the subtle, complex failure modes that emerge in real-world usage. PiMax solves this by bringing the collective wisdom of thousands of production failures directly to your development process. Instead of learning failure modes the hard way through production incidents, you can leverage PiMax’s battle-tested knowledge to catch and prevent issues before they impact your users.

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The PiMax Advantage

  • Real-world trained - Built on actual production failures, not theoretical scenarios
  • Comprehensive coverage - Detects 20+ distinct failure modes across all aspects of agent operation
  • Platform agnostic - Works with any agent development framework
  • Immediate insights - Get diagnostic results without lengthy setup or configuration
  • Continuous learning - Improves its understanding of your specific agent patterns over time
  • Production-ready - Designed for teams building and deploying agents at scale
With PiMax, you’re not just debugging your agents—you’re leveraging the collective experience of the entire agentic AI community to build more reliable, robust, and high-performing AI systems. Ready to maximize your agent’s uptime and performance? Let’s get started with PiMax diagnosis.