feat(phase-1): land IR + plugin loader + server skeleton (D3)

Phase 1 Day 1. First executable code lands. Zero providers wired yet
(per ALIGNMENT.md "v0.1 ships 0 Enabled Providers"); the server starts
clean and POST /v1/chat/completions returns 503 with no_enabled_provider.

Files added:
  lib/ir/types.mjs            - IR v1.0 schema + validators (ADR 0003)
  lib/ir/openai-to-ir.mjs     - OpenAI Chat Completions to IR
  lib/ir/ir-to-openai.mjs     - IR chunks to OpenAI SSE / non-stream
  lib/providers/base.mjs      - Provider contract + validateProvider + ProviderError
  lib/providers/index.mjs     - Static empty registry stub (ADR 0002)
  server.mjs                  - HTTP listener with createOlpServer factory + main guard
  test-features.mjs           - 61 tests across 7 suites (IR / provider / HTTP)

Files modified:
  package.json - main and scripts.start/test added back; targets now exist.

Authority citations:
  IR fields and translation direction: ADR 0003 sections Decision and
    Translation direction model.
  Provider contract (9 fields): ADR 0002 section Provider contract v1.0
    interface.
  Entry surface routes (health, v1/models, v1/chat/completions): OLP v0.1
    spec section 4.1 single-protocol entry; ALIGNMENT.md Authority 2.
  Zero-Enabled-Providers behaviour: ALIGNMENT.md Provider Inventory.

Architectural decisions worth recording:
  1. server.mjs uses a createOlpServer factory plus an import.meta.url
     main guard. The factory returns an unbound http.Server; only the
     main-script invocation calls .listen(). Tests import the real
     server.mjs and exercise the real router. No parallel implementation
     in the test file.

     This pattern was a fold-in from the orchestration step. The initial
     sonnet draft put a top-level server.listen call in server.mjs, which
     forced test-features.mjs to reimplement the router inline (a false-
     confidence trap because the real server logic would never be tested).
     Refactored before reviewer dispatch.

  2. lib/providers/index.mjs ships an empty STATIC_REGISTRY array, not a
     placeholder with dummy entries. ALIGNMENT.md Provider Inventory says
     v0.1 ships zero Enabled Providers; the registry honors that exactly.
     Phase 1 Day 2 adds the first import (Anthropic) when its plugin lands.

  3. BadRequestError lives in openai-to-ir.mjs and ProviderError in
     base.mjs. Reviewer suggested relocating to a shared lib/errors.mjs
     once the count exceeds two; deferred to Phase 1 Day 2 to ship with
     the third typed error class.

  4. contractVersion: '1.0' on each provider plugin: not enforced at D3
     because no providers exist yet. Reviewer flagged for Phase 1 Day 2
     tightening when the first provider lands.

Reviewer chain (Iron Rule 10):
  Initial implementer: sonnet (general-purpose).
  Refactor (createOlpServer + main guard) by the orchestrator after
    catching the inline-router parallel-implementation issue.
  Fresh-context reviewer: opus (ecc:code-reviewer). Verdict
    APPROVE_WITH_MINOR.

Reviewer's two non-blocking findings folded in:
  F1: removed unused createServer import from test-features.mjs line 12,
      left over from the refactor.
  F2: replaced finish_reason value 'error' with 'stop' in both the
      streaming error chunk path (lib/ir/ir-to-openai.mjs line 72) and
      the non-streaming error aggregation path (lib/ir/ir-to-openai.mjs
      line 153). The 'error' value is not in OpenAI's documented
      finish_reason enum (stop / length / tool_calls / content_filter /
      function_call / null), so emitting it would violate ALIGNMENT.md
      Rule 2 (b). Provider errors are now surfaced via a top-level
      response.error object plus an inline content marker. The matching
      test assertion at test-features.mjs line 325 was updated to verify
      finish_reason stays within the OpenAI enum.

Note on the F2 fold-in:
  Reviewer pointed only at the streaming path (line 72). After applying
  that fix I ran grep across lib/ and test-features.mjs for the same
  invention pattern and caught a second hit at line 153 (non-streaming
  aggregation). This is the "fold-in must grep the full repo, not only
  the file the reviewer named" discipline from
  ~/.cc-rules/memory/feedback/evidence_first_under_speed_pressure.md.
  Both hits are fixed in this commit.

Verification:
  node --check on all 7 new files plus modified package.json plus
    server.mjs plus lib/ir/ir-to-openai.mjs - all clean.
  npm test - 61/61 pass in 209ms, no flakes, no skipped.
  OLP_PORT=14001 node server.mjs followed by curl /health returns
    proper JSON; curl /v1/models returns 200 empty list; server shuts
    down cleanly on signal.
  grep "finish_reason.*error" returns zero hits across lib/ and tests.

Co-Authored-By: Claude Opus 4.7 (noreply@anthropic.com)

lib/ir/ir-to-openai.mjs

@@ -0,0 +1,198 @@
+/**
+ * lib/ir/ir-to-openai.mjs — IR v1.0 → OpenAI Chat Completions response translation
+ *
+ * Authority: ADR 0003 § "Translation direction model" (symmetric)
+ * Entry-surface authority: OpenAI Chat Completions API response shape
+ *   https://platform.openai.com/docs/api-reference/chat/object
+ *   https://platform.openai.com/docs/api-reference/chat/streaming
+ *
+ * Produces OpenAI-shaped responses from IR response chunks so that the
+ * entry surface (server.mjs) can emit them to clients without knowing
+ * which provider generated them.
+ */
+
+import { randomBytes } from 'node:crypto';
+
+// ── ID generation ─────────────────────────────────────────────────────────
+
+/**
+ * Generates a random chat-completion request ID.
+ * OpenAI format: chatcmpl-<alphanumeric>
+ * @returns {string}
+ */
+export function generateRequestId() {
+  return `chatcmpl-${randomBytes(12).toString('base64url')}`;
+}
+
+// ── Streaming translation ─────────────────────────────────────────────────
+
+/**
+ * Converts a single IRResponseChunk to an OpenAI SSE event string.
+ *
+ * Per OpenAI streaming spec, each chunk is a `chat.completion.chunk` object
+ * with a `choices[0].delta` field.
+ *
+ * @param {import('./types.mjs').IRResponseChunk} irChunk
+ * @param {string} requestId - from generateRequestId()
+ * @param {string} model - the model string from the IR request
+ * @returns {string} SSE line in the form `data: {...}\n\n`
+ */
+export function irChunkToOpenAISSE(irChunk, requestId, model) {
+  const created = Math.floor(Date.now() / 1000);
+
+  if (irChunk.type === 'stop') {
+    const chunk = {
+      id: requestId,
+      object: 'chat.completion.chunk',
+      created,
+      model,
+      choices: [{
+        index: 0,
+        delta: {},
+        finish_reason: irChunk.finish_reason ?? 'stop',
+      }],
+    };
+    // Include usage if the provider surfaced token counts on the final chunk
+    if (irChunk.usage) {
+      chunk.usage = irChunk.usage;
+    }
+    return `data: ${JSON.stringify(chunk)}\n\n`;
+  }
+
+  if (irChunk.type === 'error') {
+    // SSE error chunk. ALIGNMENT.md Rule 2 (b) forbids inventing
+    // `finish_reason` values not in OpenAI's enum
+    // (https://platform.openai.com/docs/api-reference/chat/streaming
+    //  enumerates: stop, length, tool_calls, content_filter, function_call,
+    //  null). Surface the error via the top-level `error` object and use
+    //  finish_reason: 'stop' on the choice — clients that respect the
+    //  enum see a valid terminator; clients that read the `error` field
+    //  see the failure detail.
+    const chunk = {
+      id: requestId,
+      object: 'chat.completion.chunk',
+      created,
+      model,
+      choices: [{
+        index: 0,
+        delta: { content: '' },
+        finish_reason: 'stop',
+      }],
+      error: { message: irChunk.error ?? 'Unknown provider error', type: 'provider_error' },
+    };
+    return `data: ${JSON.stringify(chunk)}\n\n`;
+  }
+
+  // type === 'delta'
+  const delta = {};
+  if (irChunk.role !== undefined) {
+    delta.role = irChunk.role;
+  }
+  if (typeof irChunk.content === 'string' && irChunk.content !== '') {
+    delta.content = irChunk.content;
+  } else if (irChunk.content === '') {
+    // Empty string delta is valid — pass through (first chunk often role-only + empty content)
+    delta.content = '';
+  }
+  if (Array.isArray(irChunk.tool_calls) && irChunk.tool_calls.length > 0) {
+    delta.tool_calls = irChunk.tool_calls;
+  }
+
+  const chunk = {
+    id: requestId,
+    object: 'chat.completion.chunk',
+    created,
+    model,
+    choices: [{
+      index: 0,
+      delta,
+      finish_reason: null,
+    }],
+  };
+
+  return `data: ${JSON.stringify(chunk)}\n\n`;
+}
+
+/** SSE stream terminator per OpenAI spec */
+export const SSE_DONE = 'data: [DONE]\n\n';
+
+// ── Non-streaming translation ─────────────────────────────────────────────
+
+/**
+ * Assembles a non-streaming OpenAI chat.completion object from an array of
+ * IR response chunks (all chunks already collected from the provider).
+ *
+ * @param {import('./types.mjs').IRResponseChunk[]} irChunks
+ * @param {string} requestId
+ * @param {string} model
+ * @returns {object} OpenAI chat.completion object
+ */
+export function irResponseToOpenAINonStream(irChunks, requestId, model) {
+  let content = '';
+  let finish_reason = 'stop';
+  let usage = null;
+  let errorChunk = null;
+  const tool_calls = [];
+
+  for (const chunk of irChunks) {
+    if (chunk.type === 'delta') {
+      if (typeof chunk.content === 'string') {
+        content += chunk.content;
+      }
+      if (Array.isArray(chunk.tool_calls)) {
+        tool_calls.push(...chunk.tool_calls);
+      }
+    } else if (chunk.type === 'stop') {
+      if (chunk.finish_reason) {
+        finish_reason = chunk.finish_reason;
+      }
+      if (chunk.usage) {
+        usage = chunk.usage;
+      }
+    } else if (chunk.type === 'error') {
+      // Surface provider errors via the top-level `error` annotation on the
+      // response object below + an inline content marker. `finish_reason`
+      // stays 'stop' because ALIGNMENT.md Rule 2 (b) forbids inventing
+      // enum values OpenAI's spec does not define
+      // (https://platform.openai.com/docs/api-reference/chat/object —
+      //  finish_reason ∈ {stop, length, tool_calls, content_filter,
+      //  function_call, null}).
+      content += chunk.error ? `[provider error: ${chunk.error}]` : '[provider error]';
+      errorChunk = chunk;
+    }
+  }
+
+  const message = {
+    role: 'assistant',
+    content: content || null,
+  };
+  if (tool_calls.length > 0) {
+    message.tool_calls = tool_calls;
+    if (!content) message.content = null;
+  }
+
+  const response = {
+    id: requestId,
+    object: 'chat.completion',
+    created: Math.floor(Date.now() / 1000),
+    model,
+    choices: [{
+      index: 0,
+      message,
+      finish_reason,
+    }],
+  };
+
+  if (usage) {
+    response.usage = usage;
+  }
+
+  if (errorChunk) {
+    response.error = {
+      message: errorChunk.error ?? 'Unknown provider error',
+      type: 'provider_error',
+    };
+  }
+
+  return response;
+}

lib/ir/openai-to-ir.mjs

@@ -0,0 +1,202 @@
+/**
+ * lib/ir/openai-to-ir.mjs — OpenAI Chat Completions → IR v1.0 translation
+ *
+ * Authority: ADR 0003 § "Translation direction model" and § "Required/Optional fields"
+ * Entry-surface authority: OpenAI Chat Completions API
+ *   https://platform.openai.com/docs/api-reference/chat/create
+ *
+ * This is the entry adapter — the single point where an OpenAI-shaped request
+ * is normalized into the IR. Provider plugins never see the OpenAI shape;
+ * they receive only the IR (ADR 0003 § "IR is not exposed externally").
+ */
+
+import { IR_VERSION, validateIRRequest } from './types.mjs';
+
+// ── Custom error ──────────────────────────────────────────────────────────
+
+export class BadRequestError extends Error {
+  /** @param {string} message */
+  constructor(message) {
+    super(message);
+    this.name = 'BadRequestError';
+    this.statusCode = 400;
+  }
+}
+
+// ── Role normalization ────────────────────────────────────────────────────
+
+/**
+ * OpenAI deprecated role='function' in favour of role='tool'.
+ * Per ADR 0003, IR supports system/user/assistant/tool.
+ * @param {string} role
+ * @returns {string}
+ */
+function normalizeRole(role) {
+  if (role === 'function') return 'tool';
+  return role;
+}
+
+// ── Message translation ───────────────────────────────────────────────────
+
+/**
+ * @param {object} msg - an OpenAI message object
+ * @returns {import('./types.mjs').IRMessage}
+ */
+function translateMessage(msg) {
+  if (!msg || typeof msg !== 'object') {
+    throw new BadRequestError('Each message must be an object');
+  }
+
+  const irMsg = {
+    role: normalizeRole(msg.role),
+    content: msg.content ?? '',
+  };
+
+  // content can be null for tool/function calls in OpenAI shape — normalise to ''
+  if (irMsg.content === null) {
+    irMsg.content = '';
+  }
+
+  if (msg.name !== undefined) {
+    irMsg.name = String(msg.name);
+  }
+  if (msg.tool_call_id !== undefined) {
+    irMsg.tool_call_id = String(msg.tool_call_id);
+  }
+  // OpenAI also uses function_call (deprecated) — treat as equivalent to tool_calls
+  if (Array.isArray(msg.tool_calls) && msg.tool_calls.length > 0) {
+    irMsg.tool_calls = msg.tool_calls.map(tc => ({
+      id: tc.id,
+      type: 'function',
+      function: {
+        name: tc.function?.name ?? '',
+        arguments: tc.function?.arguments ?? '',
+      },
+    }));
+  } else if (msg.function_call && typeof msg.function_call === 'object') {
+    // Deprecated OpenAI function_call field — map to single tool_calls entry
+    irMsg.tool_calls = [{
+      id: `fc-${Date.now()}`,
+      type: 'function',
+      function: {
+        name: msg.function_call.name ?? '',
+        arguments: msg.function_call.arguments ?? '',
+      },
+    }];
+  }
+
+  return irMsg;
+}
+
+// ── Tool definitions ──────────────────────────────────────────────────────
+
+/**
+ * @param {object[]} tools - OpenAI tools array
+ * @returns {import('./types.mjs').IRToolDefinition[]}
+ */
+function translateTools(tools) {
+  if (!Array.isArray(tools)) return [];
+  return tools.map((t, i) => {
+    if (t.type !== 'function' || !t.function) {
+      throw new BadRequestError(`tools[${i}]: only type='function' tools are supported in IR v1.0`);
+    }
+    return {
+      type: 'function',
+      function: {
+        name: t.function.name,
+        ...(t.function.description !== undefined && { description: t.function.description }),
+        ...(t.function.parameters !== undefined && { parameters: t.function.parameters }),
+      },
+    };
+  });
+}
+
+// ── Main translator ───────────────────────────────────────────────────────
+
+/**
+ * Translates an OpenAI Chat Completions request body into IR v1.0.
+ *
+ * Throws BadRequestError on validation failure.
+ *
+ * @param {object} openAIRequest - parsed JSON body from POST /v1/chat/completions
+ * @returns {import('./types.mjs').IRRequest}
+ */
+export function openAIToIR(openAIRequest) {
+  if (!openAIRequest || typeof openAIRequest !== 'object') {
+    throw new BadRequestError('Request body must be a JSON object');
+  }
+
+  if (!openAIRequest.model || typeof openAIRequest.model !== 'string') {
+    throw new BadRequestError('Request body must include a non-empty "model" string');
+  }
+
+  if (!Array.isArray(openAIRequest.messages) || openAIRequest.messages.length === 0) {
+    throw new BadRequestError('Request body must include a non-empty "messages" array');
+  }
+
+  /** @type {import('./types.mjs').IRRequest} */
+  const ir = {
+    irVersion: IR_VERSION,
+    model: openAIRequest.model,
+    stream: openAIRequest.stream === true,
+    messages: openAIRequest.messages.map((m, i) => {
+      try {
+        return translateMessage(m);
+      } catch (e) {
+        throw new BadRequestError(`messages[${i}]: ${e.message}`);
+      }
+    }),
+  };
+
+  // Optional numeric fields — type-coerce if needed
+  if (openAIRequest.max_tokens !== undefined && openAIRequest.max_tokens !== null) {
+    const v = Number(openAIRequest.max_tokens);
+    if (!Number.isInteger(v) || v <= 0) {
+      throw new BadRequestError('max_tokens must be a positive integer');
+    }
+    ir.max_tokens = v;
+  }
+
+  if (openAIRequest.temperature !== undefined && openAIRequest.temperature !== null) {
+    const v = Number(openAIRequest.temperature);
+    if (isNaN(v) || v < 0 || v > 2) {
+      throw new BadRequestError('temperature must be a number in [0, 2]');
+    }
+    ir.temperature = v;
+  }
+
+  if (openAIRequest.top_p !== undefined && openAIRequest.top_p !== null) {
+    const v = Number(openAIRequest.top_p);
+    if (isNaN(v) || v < 0 || v > 1) {
+      throw new BadRequestError('top_p must be a number in [0, 1]');
+    }
+    ir.top_p = v;
+  }
+
+  if (openAIRequest.stop !== undefined && openAIRequest.stop !== null) {
+    if (typeof openAIRequest.stop !== 'string' && !Array.isArray(openAIRequest.stop)) {
+      throw new BadRequestError('stop must be a string or array of strings');
+    }
+    ir.stop = openAIRequest.stop;
+  }
+
+  if (openAIRequest.tools !== undefined && openAIRequest.tools !== null) {
+    ir.tools = translateTools(openAIRequest.tools);
+  }
+
+  if (openAIRequest.tool_choice !== undefined && openAIRequest.tool_choice !== null) {
+    ir.tool_choice = openAIRequest.tool_choice;
+  }
+
+  if (openAIRequest.response_format !== undefined && openAIRequest.response_format !== null) {
+    ir.response_format = openAIRequest.response_format;
+  }
+
+  // Validate the constructed IR — belt-and-suspenders
+  const { valid, errors } = validateIRRequest(ir);
+  if (!valid) {
+    throw new BadRequestError(`IR validation failed: ${errors.join('; ')}`);
+  }
+
+  return ir;
+}

lib/ir/types.mjs

@@ -0,0 +1,172 @@
+/**
+ * lib/ir/types.mjs — IR v1.0 type definitions and validators
+ *
+ * Authority: ADR 0003 § "Required fields" and "Optional fields"
+ * The IR is OLP-internal; there is no external IR endpoint.
+ * Per ADR 0003, the IR encodes the common subset that every provider
+ * plugin can consume, with lossy edges documented per-provider.
+ */
+
+// ── Constants ──────────────────────────────────────────────────────────────
+
+export const IR_VERSION = '1.0';
+
+/** Per ADR 0003 § Required fields. role='function' is OpenAI-deprecated; openai-to-ir.mjs maps it to 'tool'. */
+export const VALID_ROLES = ['system', 'user', 'assistant', 'tool'];
+
+// ── JSDoc typedefs ────────────────────────────────────────────────────────
+
+/**
+ * @typedef {Object} IRToolCall
+ * @property {string} id
+ * @property {'function'} type
+ * @property {{ name: string, arguments: string }} function
+ */
+
+/**
+ * @typedef {Object} IRMessage
+ * @property {'system'|'user'|'assistant'|'tool'} role
+ * @property {string|Array<{type:string,[key:string]:any}>} content
+ * @property {string} [name]
+ * @property {IRToolCall[]} [tool_calls]
+ * @property {string} [tool_call_id]
+ */
+
+/**
+ * @typedef {Object} IRToolDefinition
+ * @property {'function'} type
+ * @property {{ name: string, description?: string, parameters?: object }} function
+ */
+
+/**
+ * @typedef {Object} IRRequest
+ * @property {string} irVersion - always IR_VERSION
+ * @property {IRMessage[]} messages
+ * @property {string} model
+ * @property {boolean} stream
+ * @property {number} [max_tokens]
+ * @property {number} [temperature]
+ * @property {number} [top_p]
+ * @property {string|string[]} [stop]
+ * @property {IRToolDefinition[]} [tools]
+ * @property {string|object} [tool_choice]
+ * @property {object} [response_format]
+ */
+
+/**
+ * @typedef {Object} IRResponseChunk
+ * @property {'delta'|'stop'|'error'} type
+ * @property {string} [content]  - present when type==='delta'
+ * @property {string} [role]     - present on first delta
+ * @property {IRToolCall[]} [tool_calls] - present when provider emits tool-use in stream
+ * @property {string} [finish_reason]   - present when type==='stop'
+ * @property {string} [error]           - present when type==='error'
+ * @property {Object} [usage]
+ * @property {number} [usage.prompt_tokens]
+ * @property {number} [usage.completion_tokens]
+ * @property {number} [usage.total_tokens]
+ */
+
+// ── Validators ────────────────────────────────────────────────────────────
+
+/**
+ * @param {*} obj
+ * @returns {{ valid: boolean, errors: string[] }}
+ */
+export function validateIRMessage(obj) {
+  const errors = [];
+  if (obj === null || typeof obj !== 'object') {
+    errors.push('message must be an object');
+    return { valid: false, errors };
+  }
+  if (!VALID_ROLES.includes(obj.role)) {
+    errors.push(`role must be one of ${VALID_ROLES.join('|')}, got ${JSON.stringify(obj.role)}`);
+  }
+  if (obj.content === undefined || obj.content === null) {
+    errors.push('content is required');
+  } else if (typeof obj.content !== 'string' && !Array.isArray(obj.content)) {
+    errors.push('content must be a string or array of content parts');
+  }
+  if (obj.name !== undefined && typeof obj.name !== 'string') {
+    errors.push('name must be a string when present');
+  }
+  if (obj.tool_call_id !== undefined && typeof obj.tool_call_id !== 'string') {
+    errors.push('tool_call_id must be a string when present');
+  }
+  if (obj.tool_calls !== undefined) {
+    if (!Array.isArray(obj.tool_calls)) {
+      errors.push('tool_calls must be an array when present');
+    }
+  }
+  return { valid: errors.length === 0, errors };
+}
+
+/**
+ * @param {*} obj
+ * @returns {{ valid: boolean, errors: string[] }}
+ */
+export function validateIRRequest(obj) {
+  const errors = [];
+  if (obj === null || typeof obj !== 'object') {
+    errors.push('IR request must be an object');
+    return { valid: false, errors };
+  }
+
+  // Required: messages
+  if (!Array.isArray(obj.messages)) {
+    errors.push('messages must be an array');
+  } else {
+    obj.messages.forEach((m, i) => {
+      const r = validateIRMessage(m);
+      if (!r.valid) {
+        r.errors.forEach(e => errors.push(`messages[${i}]: ${e}`));
+      }
+    });
+    if (obj.messages.length === 0) {
+      errors.push('messages must not be empty');
+    }
+  }
+
+  // Required: model
+  if (typeof obj.model !== 'string' || obj.model.trim() === '') {
+    errors.push('model must be a non-empty string');
+  }
+
+  // Required: stream
+  if (typeof obj.stream !== 'boolean') {
+    errors.push('stream must be a boolean');
+  }
+
+  // Optional: max_tokens
+  if (obj.max_tokens !== undefined && (!Number.isInteger(obj.max_tokens) || obj.max_tokens <= 0)) {
+    errors.push('max_tokens must be a positive integer when present');
+  }
+
+  // Optional: temperature [0,2]
+  if (obj.temperature !== undefined) {
+    if (typeof obj.temperature !== 'number' || obj.temperature < 0 || obj.temperature > 2) {
+      errors.push('temperature must be a number in [0,2] when present');
+    }
+  }
+
+  // Optional: top_p [0,1]
+  if (obj.top_p !== undefined) {
+    if (typeof obj.top_p !== 'number' || obj.top_p < 0 || obj.top_p > 1) {
+      errors.push('top_p must be a number in [0,1] when present');
+    }
+  }
+
+  // Optional: stop
+  if (obj.stop !== undefined) {
+    if (typeof obj.stop !== 'string' && !Array.isArray(obj.stop)) {
+      errors.push('stop must be a string or array of strings when present');
+    }
+  }
+
+  // Optional: tools
+  if (obj.tools !== undefined && !Array.isArray(obj.tools)) {
+    errors.push('tools must be an array when present');
+  }
+
+  return { valid: errors.length === 0, errors };
+}