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Until now AiPolicy lived as a user-global setting consulted for every AI action. With agents as the principal unit of AI behavior, policy belongs on the agent — different agents can be aggressive about tasks but conservative about calendar edits, etc. Webapp (tools/executor.ts): - When an AI actor invokes a tool, the executor looks up the owning agent via getAgent(actor.principalId) and passes agent.policy into resolvePolicy. Falls back to DEFAULT_AI_POLICY when the agent record is missing (legacy write, deleted agent, race) so no tool call can silently bypass the propose/deny path. - resolvePolicy already accepted an optional policy arg, so the call site change is a single line plus the agent load. Server (mana-ai): - ServerAgent gains an optional policy field, projected off the same plaintext JSONB that the webapp writes. - Tick loop filters AI_AVAILABLE_TOOLS through filterToolsByAgentPolicy before passing them to the planner prompt. Resolution order mirrors the webapp: tools[name] → defaultsByModule → defaultForAi; 'deny' drops the tool so the LLM never even sees it. Phase 5 will surface a per-agent policy editor on the agent-detail UI. Until then all agents inherit DEFAULT_AI_POLICY (baked in during createAgent), which means no behavior change for existing users — every tool that was 'propose' before is still 'propose' now, just reached via agent.policy instead of the user-level singleton. Tests: mana-ai 41/41, webapp svelte-check clean. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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