Tool overview
Mohi is listed under AI Governance Safety & Evaluation AI tools.
What is Mohi?
Mohi gives teams visibility into how AI agents execute. Its framework-agnostic SDK captures nested calls and traces, visualizes behavior, monitors performance, analyzes quality, detects regressions, and supports automated prompt tuning for production agent systems.
Best for
AI engineering teams debugging and optimizing production agents
Who is it for?
Decision note
Suitable for evaluation after confirming final commercial terms, permissions, data handling, and edit-screen aliases. Keep Needs Review enabled until a human verifies the published profile.
Key features
Framework-agnostic SDK for agent instrumentation
Hierarchical traces for nested calls and execution flow
Live sessions and real-time performance metrics
Quality analysis and regression detection
Automated prompt-tuning workflows
Reruns selected steps for debugging
Use cases
Debugging multi-step AI agents
Monitoring production agent reliability
Finding regressions after changes
Optimizing prompts from execution data
Investigating failed agent steps
Pros
- Works across agent frameworks
- Captures detailed execution relationships
- Combines monitoring with optimization
- Designed for production agent networks
Cons
- Public pricing is not listed
- SDK access requires integration work
- Automated tuning still needs evaluation
Limitations
Mohi can reveal and optimize agent behavior, but it cannot guarantee correctness or safety. Teams should protect trace data, validate prompt changes, define evaluation suites, review rerun side effects, and maintain human approval for consequential actions.
Pricing details
Billing options
Custom commercial terms
Pricing note
Mohi does not publish standard plan prices. Commercial access, SDK onboarding, and support terms require direct contact. No ongoing free plan or active public trial was confirmed.
Supported languages
- English
Integrations
Framework-agnostic agent SDK




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