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Pre-declared vs synthesized constraints — design question

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
ai

Research direction

Start by reviewing AgentRx's existing constraint-synthesis approach and the linked K9Audit context. The issue does not identify files, tests, or an implementation entry point; first clarify whether pre-declared intent contracts are wanted and define the design scope and acceptance criteria.

Written by the indexing model from the issue text.

Description

AgentRx synthesizes constraints from tool schemas after the fact. We've been working from the opposite direction — requiring intent contracts to be declared before execution fires (what we call Y*_t).

The tradeoff as we see it:

  • Synthesized constraints: better coverage, no human effort required
  • Pre-declared contracts: deterministic deviation scores, cryptographically verifiable, no LLM judge needed for assessment

Did you consider pre-declared baselines, or did you explicitly choose synthesis for the coverage reason? Curious about the design decision — especially for the case where the operator already knows what the agent should do before it acts.

For context: github.com/liuhaotian2024-prog/K9Audit

Dominant language
Python
Stars
149
Forks
24
PR merge metrics
No merged PRs in 30d

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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