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https://github.com/Memo-2023/mana-monorepo.git
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fad7f4bea3
Add a guardrail system that runs alongside the Mission Runner pipeline to catch obvious issues before they waste tokens or corrupt data. Architecture (packages/shared-ai/src/guardrails/): - types.ts: Guardrail, GuardrailResult, 4 phase interfaces - builtin.ts: 4 built-in guardrails (always active): - input-size-limit: blocks >100K chars of resolved input - plan-step-limit: blocks plans with >25 steps (runaway planner) - duplicate-destructive-tool: warns if undo_drink called 2x - empty-required-params: blocks create_task without title - runner.ts: runPrePlanGuardrails/runPostPlanGuardrails/runPreExecuteGuardrails Wired into runner.ts at 3 checkpoints: - Before deps.plan() — pre-plan check - After plan received — post-plan check - Before each stage() call — pre-execute check Guardrails are synchronous, never hit the network, and produce clear error messages when they block. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
110 lines
2.2 KiB
TypeScript
110 lines
2.2 KiB
TypeScript
/**
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* @mana/shared-ai
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*
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* AI Workbench code that both the webapp (SvelteKit/Vite) and the
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* server-side mana-ai service (Bun) import. Keep this package free of
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* runtime imports from storage layers (Dexie, Postgres) — the types +
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* pure functions here must work in both environments.
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*/
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export type {
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Actor,
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ActorKind,
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BaseActor,
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UserActor,
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AiActor,
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SystemActor,
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SystemSource,
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} from './actor';
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export {
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SYSTEM_PROJECTION,
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SYSTEM_RULE,
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SYSTEM_MIGRATION,
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SYSTEM_STREAM,
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SYSTEM_MISSION_RUNNER,
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LEGACY_USER_PRINCIPAL,
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LEGACY_AI_PRINCIPAL,
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LEGACY_SYSTEM_PRINCIPAL,
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LEGACY_DISPLAY_NAME,
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USER_ACTOR,
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makeUserActor,
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makeAgentActor,
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makeSystemActor,
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normalizeActor,
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isUserActor,
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isAiActor,
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isSystemActor,
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isFromMissionRunner,
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} from './actor';
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export type {
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IterationPhase,
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Mission,
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MissionCadence,
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MissionInputRef,
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MissionIteration,
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MissionState,
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PlanStep,
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GrantDerivation,
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GrantDerivationVersion,
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MissionGrant,
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} from './missions';
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export {
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GRANT_DERIVATION_VERSION,
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canonicalInfoString,
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deriveMissionDataKey,
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deriveMissionDataKeyRaw,
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} from './missions';
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export type {
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AiPlanInput,
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AiPlanOutput,
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AvailableTool,
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ParseResult,
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PlannedStep,
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PlannerMessages,
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ResolvedInput,
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} from './planner';
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export { buildPlannerPrompt, parsePlannerResponse } from './planner';
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export {
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AI_PROPOSABLE_TOOL_NAMES,
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AI_PROPOSABLE_TOOL_SET,
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type AiProposableToolName,
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type AiPolicy,
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type PolicyDecision,
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} from './policy';
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export type { ToolSchema } from './tools';
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export { AI_TOOL_CATALOG, AI_TOOL_CATALOG_BY_NAME } from './tools';
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export type {
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Guardrail,
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GuardrailPhase,
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GuardrailResult,
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GuardrailCheckResult,
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} from './guardrails';
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export {
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BUILTIN_GUARDRAILS,
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runPrePlanGuardrails,
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runPostPlanGuardrails,
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runPreExecuteGuardrails,
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} from './guardrails';
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export type {
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Agent,
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AgentState,
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AgentTemplate,
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AgentTemplateAgentPart,
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AgentTemplateScenePart,
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AgentTemplateSceneApp,
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AgentTemplateMissionPart,
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WorkbenchTemplate,
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WorkbenchTemplateAgentPart,
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WorkbenchTemplateScenePart,
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WorkbenchTemplateSceneApp,
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WorkbenchTemplateMissionPart,
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WorkbenchTemplateSeedItem,
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WorkbenchTemplateCategory,
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} from './agents';
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export { DEFAULT_AGENT_ID, DEFAULT_AGENT_NAME, ALL_TEMPLATES, getTemplateById } from './agents';
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