Surfa

AutoML Platforms

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This system provides a extensive platform for testing, simulating, and analyzing how AI agents interact with multi-component processes (MCPs) and workflows, ensuring reliability and adherence to predetermined contracts. Its main features include scenario generation using manual input or AI-driven automation, multi-client simulation (such as Claude or OpenAI), real-time monitoring of agent behavior, rule-based alerts for deviations, and detailed failure analysis through execution traces and behavioral metrics. Designed for AI developers, system integrators, and chatbot creators, it addresses challenges related to ensuring accurate and consistent AI agent performance, reducing errors and hallucinations, and optimizing conversational workflows by identifying bottlenecks, regressions, and points of failure.

Surfa can be found in AutoML Platforms categories.

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Surfa Main Features

• Run Simulations
  Run tests using different clients like Claude or OpenAI to see how agents perform.
• Generate Scenarios
  Create test scenarios manually or using AI based on your tools and workflows.
• Analyze Performance
  Compare different test runs, find problems, and see where failures happen.
• Monitor Key Metrics
  Track total sessions, average execution time, and task completion rates.
• Track Live Sessions
  Monitor live agent sessions and find issues where your MCP might be breaking.
• Set Rules and Alerts
  Create rules for tool use and get alerts if agents break rules or deviate.
• Check Tool Call Speed
  See how slow tool calls are and how often retries happen during sessions.
• Find Where Agents Fail
  Identify specific points where agents are not performing well or making mistakes.
• Simulate Agent Behavior
  Test how agents behave across different prompts and workflows.
• Understand Agent Actions
  Use natural language to explore how agents call tools, sessions, and behaviors.

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