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AI Matrx agent stream protocol, event projection, and safe result-presentation primitives.","maintainers":[{"name":"armanisadeghi","email":"arman@armansadeghi.com"}],"readme":"# @ai-matrx/agents\n\nPortable client-side primitives for AI Matrx agent applications. The package\nstandardizes the stream wire, pure request/workflow projection, safe\nCreator-facing result boundaries, and THE agent picker — without importing\nRedux, Next.js, or application code.\n\n**This package talks to the fully assembled AI Dream brain. It does not run the\nprovider/tool loop locally; use `@ai-matrx/agent-engine` when you need to run a\nbrain you assemble with your own providers, tools, persistence, and memory.**\n\n## Install\n\n```bash\npnpm add @ai-matrx/agents\n```\n\n## Read an agent stream\n\n```ts\nimport { readMatrxNdjsonStream } from \"@ai-matrx/agents/stream/ndjson\";\n\nfor await (const envelope of readMatrxNdjsonStream(response.body!, {\n  onMalformedLine: reportProtocolDamage,\n  onUnknownEnvelope: reportUnknownEnvelope,\n})) {\n  handleEvent(envelope);\n}\n```\n\nThe reader preserves split UTF-8, drains the network independently of consumer\nwork up to the configurable `maxReadAhead` bound, supports cancellation,\nnormalizes full and compact Matrx envelopes, and reports malformed or unknown\ninput through explicit callbacks. `onValidEnvelope` observes the exact parsed\nwire value before normalization without consuming it. Full-envelope\n`stream_seq` is preserved for projector replay suppression.\n\n## Frame non-ReadableStream transports\n\n```ts\nimport { createMatrxNdjsonFramer } from \"@ai-matrx/agents/stream/ndjson\";\n\nconst framer = createMatrxNdjsonFramer({\n  onMalformedLine: reportProtocolDamage,\n  onValidEnvelope: persistRawEnvelope,\n});\n\nhandleEvents(framer.pushBytes(extensionMessageBytes));\nhandleEvents(framer.pushText(desktopBridgeFragment));\nhandleEvents(framer.finish());\n```\n\nThe same incremental framer works with browser-extension messages, desktop\nbridges, WebSockets, and tests. `finish()` flushes split UTF-8 and diagnoses an\ninvalid unterminated final line with `atCompletion: true`.\n\n## Present a settled result safely\n\n```ts\nimport { projectAgentResultForDisplay } from \"@ai-matrx/agents/presentation/result\";\n\nconst displayValue = projectAgentResultForDisplay(persistedExecutionValue);\n```\n\nThe projection removes provider-private reasoning blocks and signature material\nwithout mutating the execution value. It is only for display, JSON views, and\nexports. Never persist the projected result or use it to continue an agent run.\n\n## Project workflow live output\n\n```ts\nimport {\n  createWorkflowNodeProjection,\n  projectWorkflowNodeEvent,\n} from \"@ai-matrx/agents/projection/workflow\";\n\nlet node = createWorkflowNodeProjection({ runId, nodeId });\nnode = projectWorkflowNodeEvent(node, nodeStreamFrame);\n```\n\nThis is the single workflow presentation inlet. It keeps answer and private\nreasoning separate, rejects replayed frames, assembles bounded server\n`render_block` snapshots, and prevents shadowed text from being interpreted as\na second copy of the same content. Configure `maxOpenFrameSets`,\n`maxFramesPerBlock`, and `maxBytesPerBlock` when creating the projection;\nrejected or malformed blocks are observable through `lastRenderBlockIssue`.\n\n## Run an agent end-to-end (`./matrx`)\n\nThe `@ai-matrx/agents/matrx` subpath is the Matrx API client. Build the\nPRODUCTION transport from identity alone — everything else (connect/total\ntimeout policy, the v2 → v1 protocol fallback, fresh-per-call credential\nheaders, the fail-closed org header, error classification, diagnostics\nhooks) ships in the package with the proven production defaults:\n\n```ts\nimport {\n  createMatrxTransport,\n  newEphemeralConversationStart,\n  runAgentToCompletion,\n} from \"@ai-matrx/agents/matrx\";\n\nconst transport = createMatrxTransport({\n  baseUrl: \"https://server.app.matrxserver.com\",\n  credentials: { get: async () => ({ kind: \"api_key\", apiKey }) }, // CredentialsPort (@ai-matrx/data)\n  organizationId: orgId, // omit for conversation-lane calls (org rides the body)\n});\n\nconst run = await runAgentToCompletion(transport, agentId, {\n  ...newEphemeralConversationStart(),\n  organization_id: orgId,\n  user_input: \"Summarize this quarter's numbers.\",\n}, { onChunk: (text) => render(text) });\n```\n\nHosts with dynamic routing pass `resolveTarget` (fresh per call: base URL,\nextra policy headers, channel label) instead of `baseUrl`, and can wire the\ntyped `diagnostics` seam (`onRequest` / `onError` / `onProtocolDowngrade`)\ninto their telemetry. `MatrxTransport` remains a plain fetch-shaped port, so\na fully custom transport still plugs in.\n\nLower-level pieces: `startAgentRun` / `continueAgentConversation` /\n`resumeAgentConversation` return a `MatrxRunHandle` (`X-Request-ID` and\n`X-Conversation-ID` before any event, plus the normalized envelope stream);\n`cancelAgentRun` stops a run by its server request id;\n`getRuntimeOperationStatus` / `listRuntimeOperationEvents` /\n`followRuntimeOperationEvents` / `rejoinRuntimeOperation` are the reconnect\nladder — and `followRuntimeOperationToEnd` is the full production reconnect\npolicy over them (stall watchdog, bounded retry budget, durable\n`Last-Event-ID` cursor, all knobs typed and defaulted);\n`submitAgentToolResults` + pending-call discovery drive delegated\nclient tools (watch `continuation_needed` → `resumeAgentConversation`).\n\n## React hooks (`./react`)\n\nClient-only bindings over the same transport:\n\n```tsx\nimport { useAgentRun } from \"@ai-matrx/agents/react\";\n\nconst { phase, projection, start, cancel } = useAgentRun({ transport });\n// projection is the parity-proven AgentRequestProjection: answer, reasoning,\n// phases, operations, tools, render blocks, completion, error.\n```\n\n`useFollowRuntimeOperation({ transport, executionId, onEvent })` is the\nreconnect follower as a hook — production stall/retry/cursor policy built in.\n\n## THE agent picker (`./catalog` + `./catalog/react`)\n\nThere is ONE agent picker on this platform and it ships here. An app provides a\nSupabase client and who the user is; the picker's contract back is\n`onSelect(agentId)`.\n\n```ts\n// once, anywhere\nimport { createAgentCatalog } from \"@ai-matrx/agents/catalog\";\n\nexport const agentCatalog = createAgentCatalog({\n  client: supabase,                                   // REQUIRED\n  identity: { requireUserId: () => requireUserId() }, // REQUIRED\n  transport,   // only when a picker passes `defaultMandateKey`\n});\n```\n\n```tsx\n// once, at the top of your tree\nimport \"@ai-matrx/agents/catalog/styles.css\";\nimport { AgentCatalogProvider, AgentListDropdown } from \"@ai-matrx/agents/catalog/react\";\n\n<AgentCatalogProvider catalog={agentCatalog} LinkComponent={Link}>\n  <AgentListDropdown activeAgentId={agentId} onSelect={setAgentId} />\n</AgentCatalogProvider>\n```\n\nYou get, on every surface and in every app: the complete catalogue read (owned\n+ shared + org-shared + platform agents), Mine / Shared / All / Public tabs\nwith live counts, sort, favourites (with the write), category and tag filters,\nlocal relevance scoring plus server-side search, the current agent pinned on\ntop, per-row origin badges, a hover detail panel, a mobile drawer, and a footer\ncount. `AgentListInlinePicker` is the same core without the popover shell.\n\nRegister this package's build with your Tailwind source scan so the picker's\nutilities are generated:\n\n```css\n@import \"tailwindcss\";\n@source \"../node_modules/@ai-matrx/agents/dist\";\n```\n\n**The default row.** Pass `defaultMandateKey` and the picker offers the\nplatform default for that Mandate, resolved LIVE through the server and\nlabelled with the Holder's real name — no client ever hardcodes an agent name\nagain. Its id is `mandate:<key>`. If the cached name and the live one disagree,\nthe picker shows a persistent banner and calls your `notifier`.\n\n**Ports.** `client` and `identity` are required and throw when absent. Every\nother port ships a working default: `errorSink` (tagged console), `notifier`\n(the banner is the primary channel), `storage` (localStorage, else memory),\n`labels`, `navigate` (`window.location.assign`), `LinkComponent` (a plain\n`<a>`), `renderModelRef` (plain text) and `openPeek` (absent → the affordance\nis hidden, never dead).\n\n`assertAgentCatalogSchema(client)` proves at boot that the database can answer\n`agx_get_list_full`, `agx_search`, `agx_resolve_agent_address` and the\nfavourite write.\n\n## Runtime support\n\nThe package targets modern browsers, browser-based desktop shells,\nextensions, Next.js client or server modules, and Node 20+. Its one runtime\ndependencies are `@ai-matrx/data` (the shared net-resilience + credentials\nlayer) and `@ai-matrx/design-system` (the picker's primitives); `react >= 18`\nis an optional peer needed only by `./react` and `./catalog/react`. No entry\npoint performs work at import time.\n\n## Development\n\n```bash\npnpm typecheck\npnpm test\npnpm check:package\n```\n\n`check:package` builds JavaScript and declarations, validates the manifest,\npacks the release artifact, checks its public types, installs it into an empty\nproject, and imports every entry point.\n\nNever publish directly from this working directory. Release the verified\ntarball produced by `pnpm pack`; `prepublishOnly` blocks the unsafe path.\n","readmeFilename":"README.md"}