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The package is a thin adapter: you supply resolvers (model, tool, workflow, memory) and it composes the manifest's identity, persona, body, boundaries, and tool refs into a ","maintainers":[{"name":"agentiknet","email":"jeremy@agentik.net"}],"readme":"# @agentproto/mastra\n\nAIP-42 `AGENT.md` → Mastra runtime adapter. Reference implementation\nfor the **agent/v1 → live agent** path against the Mastra framework.\n\n```bash\npnpm add @agentproto/mastra @agentproto/agent @mastra/core\n```\n\n## Why\n\n`@agentproto/agent` parses an `AGENT.md` and gives you a typed\n`AgentHandle`. That's the spec layer. To actually *run* the agent,\nsomething has to translate ref strings (`anthropic/claude-opus-4-7`,\n`@agentik/tools-standard/web-fetch`, `per-conversation` memory scope)\ninto runtime objects.\n\nThis package is that something for Mastra.\n\n## Usage\n\n```ts\nimport { readFile } from \"node:fs/promises\"\nimport { parseAgentManifest, agentFromManifest } from \"@agentproto/agent\"\nimport { buildMastraAgent } from \"@agentproto/mastra\"\nimport { openai } from \"@ai-sdk/openai\"\nimport { anthropic } from \"@ai-sdk/anthropic\"\nimport { Memory } from \"@mastra/memory\"\nimport { weatherTool } from \"./tools/weather\"\n\nconst source = await readFile(\"./.agents/writer/AGENT.md\", \"utf8\")\nconst parsed = parseAgentManifest(source)\nconst handle = agentFromManifest(parsed)\n\nconst { agent, resolvedTools, droppedTools, instructions } =\n  await buildMastraAgent(handle, {\n    body: parsed.body,\n    resolveModel: (ref) => {\n      const id = typeof ref === \"string\" ? ref : (ref.ref ?? \"\")\n      const [provider, model] = id.split(\"/\", 2)\n      if (provider === \"anthropic\") return anthropic(model!)\n      if (provider === \"openai\") return openai(model!)\n      throw new Error(`unknown model provider: ${provider}`)\n    },\n    resolveTool: (ref) => {\n      const id = typeof ref === \"string\" ? ref : (ref.ref ?? \"\")\n      if (id === \"weather\") return { name: \"weather\", tool: weatherTool }\n      return undefined // dropped with a warning\n    },\n    buildMemory: (cfg) => new Memory({ /* translate cfg fields */ }),\n  })\n\nconsole.log(`built agent '${agent.name}' with ${resolvedTools.length} tools`)\nconst reply = await agent.generate(\"draft a 200-word brief on…\")\n```\n\n## Resolvers\n\nThe package never bundles a model provider, tool catalog, or memory\nbackend. You provide:\n\n| Option | Required | Purpose |\n|---|---|---|\n| `resolveModel(ref)` | yes | Translate `model:` → AI-SDK `LanguageModel` |\n| `resolveTool(ref)` | no | Translate `tools[]` → Mastra tools |\n| `resolveWorkflow(ref)` | no | Validate `workflows[]` exist (not attached to agent) |\n| `buildMemory(cfg)` | no | Build a Mastra `Memory` from `memory:` |\n| `buildVoice(handle)` | no | Build a voice provider (ElevenLabs, etc.) |\n| `formatInstructions` | no | Override how body + boundaries become a system prompt |\n| `body` | no | The markdown body (everything after frontmatter) |\n| `strict` | no | Throw on unresolved tools instead of warn-and-drop |\n\n## Default instructions composer\n\n`composeInstructions(handle, body)` produces:\n\n```\n{body or description}\n\n{persona inline block if present}\n\nHard rules — these MUST be followed:\n- {boundary 1}\n- {boundary 2}\n\nTrait scores (0-10): rigor=9, warmth=4.\n```\n\nOverride with `formatInstructions: (handle, body) => string` if your\nhost has its own prompt assembly (e.g. multi-agent council headers,\nper-tenant pre-amble, i18n).\n\n## Diagnostics\n\n`buildMastraAgent` returns the live `Agent` plus:\n\n- `resolvedTools: string[]` — names that wired in\n- `droppedTools: string[]` — refs the resolver returned `undefined` for\n- `resolvedWorkflows: string[]` / `droppedWorkflows: string[]`\n- `instructions: string` — the final composed prompt\n\nUseful for diagnostics UIs (which tools were declared on the manifest\nbut missing from the host's catalog?) and tests.\n\n## License\n\nMIT.\n","readmeFilename":"README.md"}