AssistantBench

AssistantBench: Enterprise Intelligence

AssistantBench is a benchmark designed to evaluate the capability of AI assistants to perform complex, multi-step tasks in an enterprise context. Unlike general-purpose benchmarks, AssistantBench emphasizes real-world tool use, data reconciliation, and industrial reasoning accuracy.

Native Support in AgentV

AgentV provides full support for the AssistantBench ecosystem, focusing on the v1 Open Source Baseline.

Key Evaluation Pillars

• Industrial Reconciliation: The ability of the agent to identify discrepancies between two data sources (e.g., a CRM and an Invoice).
• Tool-Chain Robustness: Evaluating if the agent can correctly chain together a sequence of 3+ distinct tools to achieve a business goal.
• Enterprise Policy Adherence: Testing if the agent follows safety and security protocols (PII masking) during task execution.

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Execution Guide

Using the AssistantBench Loader

Run evaluations using the native AssistantBench URI scheme:

agentv evaluate --path assistantbench://v1 --agent http://localhost:5001/execute_task

Analyzing Results

AssistantBench results in AgentV are enriched with Behavioral DNA telemetry. This allows researchers to distinguish between:

1. Planning Failures: The agent failed to identify the correct tool sequence.
2. Execution Failures: The agent identified the right tools but misused them or failed to parse the output.
3. Reasoning Failures: The tools worked correctly, but the agent’s final synthesis was factually incorrect.

Tip

Use the Visual Debugger: When analyzing AssistantBench failures, use the agentv console to inspect the State Delta at each step. This reveals exactly where the agent’s “understanding” of the industrial environment diverged from the reality.