Match the project to your task before installing it.
Agent SDK and Runtime · Public
agentassay
Agent SDK project for checking tool calls, state, handoffs, traces, evaluation, and permission boundaries.
Agent SDKTool callsHandoffsTracingEvaluation boundaries
Best fitDevelopers building observable, testable, multi-tool agent applications.
Check whether this project matches your task before installing it.
What it can doAgent runtime preflights, tool permissions, state/handoff boundaries, trace acceptance, and evaluation checksReview the portable capability path.
Before continuingVerify in a sandboxDo not treat a preview pack as a proven local install.
GitHub snapshot5 stars1 forks · 1 contributors
Doramagic.ai Last verification date: 2026-06-20 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.
Publication status · 2026-06-20
What is agentassay?
- agentassay is an Agent SDK or runtime for tool calls, state, handoffs, tracing, and evaluation boundaries.
- Best fit: Developers building observable, testable, multi-tool agent applications.
- Not for: Not for one prompt, simple API calls, or environments that cannot isolate tool permissions.
- Capability added to an AI workflow: Agent runtime preflights, tool permissions, state/handoff boundaries, trace acceptance, and evaluation checks
- First safe verification step: Verify one minimal agent loop with fake tools and temporary credentials first.
- Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
- Top risk: May increase setup, validation, or first-run risk for the user.
- Evidence base: https://github.com/qualixar/agentassay, https://github.com/qualixar/agentassay#readme, Human Manual, Pitfall Log
01
Quick decision
Use this section to decide whether the project is worth a deeper read.Agent SDK project for checking tool calls, state, handoffs, traces, evaluation, and permission boundaries.
5 stars · 1 forks
02
What it can do
Translate the upstream project into concrete capabilities the user can judge before installing.Introduction and Layered Architecture
Related topics: Token-Efficient Testing Pipeline and Statistical Engine, Framework Adapters, CLI, Dashboard and pytest Integration
Source: https://github.com/qualixar/agentassay / Human Manual
Token-Efficient Testing Pipeline and Statistical Engine
Related topics: Introduction and Layered Architecture, Framework Adapters, CLI, Dashboard and pytest Integration, Analysis Methods, Persistence, Reporting and Deployment Operations
Source: https://github.com/qualixar/agentassay / Human Manual
Framework Adapters, CLI, Dashboard and pytest Integration
Related topics: Token-Efficient Testing Pipeline and Statistical Engine, Analysis Methods, Persistence, Reporting and Deployment Operations
Source: https://github.com/qualixar/agentassay / Human Manual
Analysis Methods, Persistence, Reporting and Deployment Operations
Related topics: Token-Efficient Testing Pipeline and Statistical Engine, Framework Adapters, CLI, Dashboard and pytest Integration
Source: https://github.com/qualixar/agentassay / Human Manual
Doramagic Pitfall Log
Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.
Source: Doramagic discovery, validation, and Project Pack records
Sources: https://github.com/qualixar/agentassay, Human Manual, Project Pack evidence, and downstream validation signals.
03
Community Discussion Evidence
Project-level external discussion stays visible on the detail page, not only inside the manual.Community Discussion Evidence
3 source-linked itemsReview these external discussions before using agentassay with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.
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01
v0.1.2 — Production Release
github / github_release
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02
v0.1.1 — Initial Public Release
github / github_release
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03
Capability evidence risk requires verification
GitHub / issue
04
How to start
Only source-backed commands are shown here. Verify them in an isolated environment first.Try the prompt first
Test the workflow without installing the upstream project.
previewRead the Human Manual
Understand inputs, outputs, limits, and failure modes.
manualTake context to your AI host
Use the compiled assets in your preferred AI environment.
contextRun sandbox verification
Confirm install commands and rollback before using a primary environment.
verifypip install agentassayOfficial start command · https://github.com/qualixar/agentassay#readme · verified: yes
05
Human Manual
The English page must expose the real manual, not a short placeholder.8+ sections · Human Manual
agentassay Manual
AgentAssay is an agent testing framework that delivers statistical guarantees for non-deterministic AI agent workflows without burning token budgets. The project's tagline — "Test More. Sp...
Open the full manual- https://github.com/qualixar/agentassay Project Manual
- Table of Contents
- Introduction and Layered Architecture
- Related Pages
- Overview
- The Six-Layer Stack
- Layer 1 — Core
- Layer 2 — Statistics
Introduction and Layered Architecture
Related topics: Token-Efficient Testing Pipeline and Statistical Engine, Framework Adapters, CLI, Dashboard and pytest Integration
Source: https://github.com/qualixar/agentassay / Human Manual
Token-Efficient Testing Pipeline and Statistical Engine
Related topics: Introduction and Layered Architecture, Framework Adapters, CLI, Dashboard and pytest Integration, Analysis Methods, Persistence, Reporting and Deployment Operations
Source: https://github.com/qualixar/agentassay / Human Manual
Framework Adapters, CLI, Dashboard and pytest Integration
Related topics: Token-Efficient Testing Pipeline and Statistical Engine, Analysis Methods, Persistence, Reporting and Deployment Operations
Source: https://github.com/qualixar/agentassay / Human Manual
Analysis Methods, Persistence, Reporting and Deployment Operations
Related topics: Token-Efficient Testing Pipeline and Statistical Engine, Framework Adapters, CLI, Dashboard and pytest Integration
Source: https://github.com/qualixar/agentassay / Human Manual
Doramagic Pitfall Log
Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.
Source: Doramagic discovery, validation, and Project Pack records
06
AI Context Pack and portable assets
After deciding to continue, take the project context into your own AI host.Complete pack plus user-owned assets
These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.
07
Preflight checks
Treat this page as a planning asset, not proof that your local environment is ready.- The manual is generated from source-linked project files and Doramagic validation signals.
- Community evidence warnings stay visible instead of being converted into marketing claims.
- This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
- Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.
08
Pitfall Log and verification risks
Doramagic surfaces high-risk items before users treat a candidate capability as verified.Capability evidence risk requires verification
May increase setup, validation, or first-run risk for the user.
Maintenance risk requires verification
May increase setup, validation, or first-run risk for the user.
Security or permission risk requires verification
May increase setup, validation, or first-run risk for the user.
Security or permission risk requires verification
May increase setup, validation, or first-run risk for the user.
Maintenance risk requires verification
May increase setup, validation, or first-run risk for the user.
Maintenance risk requires verification
May increase setup, validation, or first-run risk for the user.