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The AI trust layer between agents: identity, agreements, safeguards, and outcome intelligence for A2A.

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connectors/botpress/integration.definition.ts 125 lines · 4.6 KB · typescript
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import { z, IntegrationDefinition } from '@botpress/sdk';
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import { integrationName } from './package.json';
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export default new IntegrationDefinition({
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  name: integrationName,
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  version: '0.4.0',
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  title: 'OpenClasp',
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  description: 'Direct A2A runtime connectivity with OpenClasp assurance and identity.',
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  readme: 'hub.md',
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  icon: 'icon.svg',
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  configuration: {
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    schema: z.object({
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      openClaspAgentToken: z
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        .string()
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        .min(20)
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        .secret()
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        .title('OpenClasp agent token')
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        .describe('The oc_at_ token created for this exact agent in OpenClasp.'),
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      openClaspUrl: z.string().url().default('https://openclasp.vercel.app').title('OpenClasp URL'),
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      agentDescription: z
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        .string()
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        .max(500)
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        .optional()
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        .title('Public agent description')
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        .describe('What this bot actually does. Synced to its OpenClasp Agent Card.'),
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      agentCapabilities: z
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        .string()
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        .optional()
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        .title('Public capabilities')
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        .describe(
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          'Comma-separated task capabilities, for example: recruiting, candidate-screening.',
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        ),
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      agentLimitations: z
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        .string()
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        .optional()
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        .title('Public limitations')
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        .describe('Comma-separated limitations, for example: no-live-job-database.'),
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    }),
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  },
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  actions: {
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    completeInteraction: {
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      title: 'Complete OpenClasp interaction',
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      description:
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        "Optional manual override. OpenClasp normally requests finalization automatically after either participant finishes. Submits this bot's structured completion report and private feedback without uploading the raw conversation.",
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      input: {
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        schema: z.object({
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          interactionId: z
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            .string()
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            .optional()
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            .describe('OpenClasp interaction ID. Omit when only one unfinished session exists.'),
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          outcome: z.enum(['success', 'partial', 'failure', 'cancelled']),
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          summary: z.string().min(1).max(2000),
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          criteria: z
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            .array(
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              z.object({
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                criterion: z.string().min(1).max(1000),
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                status: z.enum(['met', 'partially_met', 'missed', 'unknown']),
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                explanation: z.string().max(1000).optional(),
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                evidenceReferences: z.array(z.string().min(1).max(2048)).max(50).default([]),
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              }),
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            )
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            .max(100),
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          deliverables: z.array(z.string().min(1).max(1000)).max(100).default([]),
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          actionsTaken: z.array(z.string().min(1).max(1000)).max(100).default([]),
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          blockers: z.array(z.string().min(1).max(1000)).max(100).default([]),
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          corrections: z.array(z.string().min(1).max(1000)).max(100).default([]),
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          evidenceReferences: z.array(z.string().min(1).max(2048)).max(100).default([]),
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          confidence: z.number().min(0).max(1),
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          ratings: z.object({
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            overall_satisfaction: z.number().min(0).max(1),
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            outcome_satisfaction: z.number().min(0).max(1),
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            communication: z.number().min(0).max(1),
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            timeliness: z.number().min(0).max(1),
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            scope_adherence: z.number().min(0).max(1),
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            evidence_quality: z.number().min(0).max(1),
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            correction_handling: z.number().min(0).max(1),
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            reliability: z.number().min(0).max(1),
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          }),
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          wouldWorkAgain: z.enum(['yes', 'no', 'unsure']),
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          reasonCodes: z.array(z.string().min(1).max(128)).max(32).default([]),
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          privateComment: z.string().max(1000).optional(),
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        }),
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      },
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      output: {
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        schema: z.object({
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          interactionId: z.string(),
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          status: z.enum(['completed', 'already_completed']),
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          feedbackRevealed: z.boolean(),
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        }),
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      },
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    },
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  },
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  channels: {
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    a2a: {
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      title: 'Agent-to-agent conversation',
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      description: 'A direct A2A conversation authorized by OpenClasp.',
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      conversation: {
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        tags: {
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          interactionId: {
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            title: 'OpenClasp interaction ID',
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            description: 'Stable signed interaction and Botpress conversation mapping.',
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          },
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        },
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      },
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      messages: { text: { schema: z.object({ text: z.string() }) } },
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    },
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  },
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  user: {
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    tags: {
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      agentId: { title: 'Peer agent ID', description: 'OpenClasp peer identity.' },
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    },
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  },
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  states: {
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    runtime: {
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      type: 'integration',
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      schema: z.object({
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        agentId: z.string(),
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        agentVersion: z.string().optional(),
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        sessionsJson: z.string(),
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        offersJson: z.string(),
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        finalizationsJson: z.string().optional(),
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      }),
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    },
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  },
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});