Integrations

Framework guides for the pre-deployment stress test for autonomous agents.

Start from the stack you already use. Each guide shows how to keep your runtime intact while adding Crucible scoring, traces, reports, and hidden-eval style validation.

Framework Guide

LangGraph

Wrap an existing LangGraph app with Crucible, run seeded scenarios, and export trace-backed reports without rewriting your graph logic.

Best for stateful, tool-heavy graphs that need replayable failure analysis.

High signal on D4, D8, and D9 when agents over-spend, guess, or manipulate.

Good fit for teams that already have deterministic graph orchestration.

Framework Guide

OpenAI Responses

Use Crucible as the pre-deployment stress test for autonomous agents built on the Responses API, with report export and scenario-based replay built in.

Ideal for tool-calling assistants that need stronger deployment gating.

Makes hidden-eval style behavior visible before you ship live autonomy.

Lets you compare prompt, model, and tool-chain variants under one scoring system.

Framework Guide

OpenClaw

If your agent already runs in OpenClaw, Crucible gives you the missing proof layer: survival scoring, replayable failures, and deployment-grade reports.

Strong fit for operator-style agents with long context and delegated workers.

Pairs especially well with engineering refusal mode and requirement gates.

Makes failure under pressure legible to non-engineering stakeholders.

Framework Guide

CrewAI

Crucible helps CrewAI teams test delegation, task settlement, and runaway tool costs using a single benchmark language across every worker.

Most useful when crew coordination looks good in demos but brittle under scarcity.

Highlights when delegation adds surface area faster than it adds value.

Lets teams compare solo-agent and crew-based strategies in the same benchmark.