Add verified Ollama DeepSeek review emitter

5-Applications/tools-scripts/llm/ollama_deepseek_review_emitter.py

@@ -0,0 +1,363 @@
+#!/usr/bin/env python3
+"""
+Emit Ollama-compatible DeepSeek review answers and receipts.
+
+This is the canonical emitter for receipts with schema
+`ollama_deepseek_review_receipt_v1` and
+`ollama_deepseek_review_continuation_receipt_v1`.
+
+The integrity rule is deliberately strict: write the answer first, compute
+`answer_sha256` from the bytes read back from disk, write the receipt, then
+verify the receipt against the answer path before returning success.
+"""
+
+from __future__ import annotations
+
+import argparse
+import datetime as dt
+import hashlib
+import json
+import os
+import re
+import sys
+import urllib.error
+import urllib.request
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Any
+
+
+REPO = Path(__file__).resolve().parents[3]
+DEFAULT_OUTPUT_DIR = REPO / "shared-data" / "artifacts" / "deepseek_review"
+DEFAULT_ENDPOINT = "https://ollama.com/v1/chat/completions"
+PROVIDER_TAG = "deepseek"
+PRIMARY_SCHEMA = "ollama_deepseek_review_receipt_v1"
+CONTINUATION_SCHEMA = "ollama_deepseek_review_continuation_receipt_v1"
+
+
+@dataclass(frozen=True)
+class EmittedReview:
+    answer_path: Path
+    receipt_path: Path
+    answer_sha256: str
+    prompt_sha256: str
+
+
+def sha256_bytes(data: bytes) -> str:
+    return "sha256:" + hashlib.sha256(data).hexdigest()
+
+
+def canonical_json_bytes(value: Any) -> bytes:
+    return json.dumps(
+        value,
+        ensure_ascii=False,
+        sort_keys=True,
+        separators=(",", ":"),
+    ).encode("utf-8")
+
+
+def repo_relative(path: Path, repo_root: Path = REPO) -> str:
+    path = path.resolve()
+    repo_root = repo_root.resolve()
+    try:
+        return str(path.relative_to(repo_root))
+    except ValueError:
+        return str(path)
+
+
+def safe_slug(value: str) -> str:
+    slug = re.sub(r"[^A-Za-z0-9._-]+", "_", value).strip("_")
+    return slug or "review"
+
+
+def utc_timestamp() -> str:
+    return dt.datetime.now(dt.timezone.utc).strftime("%Y%m%dT%H%M%SZ")
+
+
+def iso_from_stamp(stamp: str) -> str:
+    parsed = dt.datetime.strptime(stamp, "%Y%m%dT%H%M%SZ").replace(tzinfo=dt.timezone.utc)
+    return parsed.isoformat()
+
+
+def read_text(path: Path) -> str:
+    return path.read_text(encoding="utf-8")
+
+
+def read_context_bundle(paths: list[Path], repo_root: Path = REPO) -> tuple[str, list[str]]:
+    chunks: list[str] = []
+    context_files: list[str] = []
+    for path in paths:
+        body = read_text(path)
+        rel = repo_relative(path, repo_root)
+        chunks.append(f"\n\n===== FILE: {rel} =====\n{body}")
+        context_files.append(rel)
+    return "".join(chunks), context_files
+
+
+def build_messages(
+    prompt: str,
+    context_text: str,
+    previous_answer_path: Path | None,
+) -> list[dict[str, str]]:
+    if previous_answer_path is not None:
+        previous_answer = read_text(previous_answer_path)
+        user_content = (
+            f"{previous_answer}\n\n"
+            "===== CONTINUATION REQUEST =====\n"
+            f"{prompt}"
+        )
+    else:
+        user_content = (
+            f"{context_text}\n\n"
+            "===== REVIEW REQUEST =====\n"
+            f"{prompt}"
+        )
+
+    return [
+        {
+            "role": "system",
+            "content": (
+                "You are an external mathematical reviewer. Answer only from "
+                "the provided context and make arithmetic checks explicit."
+            ),
+        },
+        {"role": "user", "content": user_content},
+    ]
+
+
+def build_request_body(
+    model: str,
+    messages: list[dict[str, str]],
+    max_tokens: int,
+    temperature: float,
+) -> dict[str, Any]:
+    return {
+        "model": model,
+        "messages": messages,
+        "temperature": temperature,
+        "max_tokens": max_tokens,
+        "stream": False,
+    }
+
+
+def call_ollama_chat(endpoint: str, api_key: str | None, request_bytes: bytes) -> dict[str, Any]:
+    headers = {"Content-Type": "application/json"}
+    if api_key:
+        headers["Authorization"] = f"Bearer {api_key}"
+    elif not endpoint.startswith(("http://127.0.0.1", "http://localhost")):
+        raise RuntimeError("OLLAMA_API_KEY is required for non-local Ollama endpoints")
+
+    request = urllib.request.Request(
+        endpoint,
+        data=request_bytes,
+        headers=headers,
+        method="POST",
+    )
+    try:
+        with urllib.request.urlopen(request, timeout=600) as response:
+            return json.loads(response.read().decode("utf-8"))
+    except urllib.error.HTTPError as exc:
+        detail = exc.read().decode("utf-8", errors="replace")
+        raise RuntimeError(f"Ollama endpoint returned HTTP {exc.code}: {detail}") from exc
+
+
+def extract_answer(response: dict[str, Any]) -> tuple[str, dict[str, int], list[str]]:
+    choices = response.get("choices")
+    if not isinstance(choices, list) or not choices:
+        raise ValueError("response has no choices")
+
+    message = choices[0].get("message", {})
+    if not isinstance(message, dict):
+        raise ValueError("response choice has no message object")
+
+    content = message.get("content", "")
+    if isinstance(content, str):
+        answer_text = content
+    else:
+        answer_text = json.dumps(content, ensure_ascii=False)
+
+    usage_obj = response.get("usage", {})
+    usage = {
+        "prompt_tokens": int(usage_obj.get("prompt_tokens", 0) or 0),
+        "completion_tokens": int(usage_obj.get("completion_tokens", 0) or 0),
+        "total_tokens": int(usage_obj.get("total_tokens", 0) or 0),
+    }
+    if usage["total_tokens"] == 0:
+        usage["total_tokens"] = usage["prompt_tokens"] + usage["completion_tokens"]
+
+    return answer_text, usage, list(message.keys())
+
+
+def write_text_and_hash(path: Path, text: str) -> str:
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_text(text, encoding="utf-8")
+    return sha256_bytes(path.read_bytes())
+
+
+def write_receipt(path: Path, receipt: dict[str, Any]) -> None:
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_text(json.dumps(receipt, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
+
+
+def verify_receipt(receipt_path: Path, repo_root: Path = REPO) -> bool:
+    receipt = json.loads(receipt_path.read_text(encoding="utf-8"))
+    schema = receipt.get("schema")
+    if schema not in {PRIMARY_SCHEMA, CONTINUATION_SCHEMA}:
+        raise ValueError(f"{receipt_path}: unknown schema {schema!r}")
+
+    answer_path = repo_root / receipt["answer_path"]
+    actual = sha256_bytes(answer_path.read_bytes())
+    expected = receipt.get("answer_sha256")
+    if actual != expected:
+        raise ValueError(f"{receipt_path}: answer_sha256 mismatch: {actual} != {expected}")
+
+    if schema == PRIMARY_SCHEMA:
+        if not isinstance(receipt.get("context_files"), list):
+            raise ValueError(f"{receipt_path}: primary receipt missing context_files")
+        if "previous_answer_path" in receipt:
+            raise ValueError(f"{receipt_path}: primary receipt must not carry previous_answer_path")
+    else:
+        if not receipt.get("previous_answer_path"):
+            raise ValueError(f"{receipt_path}: continuation receipt missing previous_answer_path")
+        if "context_files" in receipt:
+            raise ValueError(f"{receipt_path}: continuation receipt must omit context_files")
+
+    return True
+
+
+def emit_review(
+    *,
+    topic: str,
+    model: str,
+    prompt: str,
+    context_paths: list[Path],
+    previous_answer_path: Path | None,
+    output_dir: Path = DEFAULT_OUTPUT_DIR,
+    endpoint: str = DEFAULT_ENDPOINT,
+    max_tokens: int = 5000,
+    temperature: float = 0.0,
+    timestamp: str | None = None,
+    api_key: str | None = None,
+    response: dict[str, Any] | None = None,
+    repo_root: Path = REPO,
+) -> EmittedReview:
+    stamp = timestamp or utc_timestamp()
+    created_at = iso_from_stamp(stamp)
+    context_text, context_files = read_context_bundle(context_paths, repo_root)
+    messages = build_messages(prompt, context_text, previous_answer_path)
+    request_body = build_request_body(model, messages, max_tokens, temperature)
+    request_bytes = canonical_json_bytes(request_body)
+    prompt_sha256 = sha256_bytes(request_bytes)
+
+    if response is None:
+        response = call_ollama_chat(endpoint, api_key or os.getenv("OLLAMA_API_KEY"), request_bytes)
+
+    answer_text, usage, message_keys = extract_answer(response)
+    stem = f"{safe_slug(topic)}_{PROVIDER_TAG}_{safe_slug(model)}"
+    if previous_answer_path is not None:
+        stem += "_continuation"
+    stem += f"_{stamp}"
+
+    answer_path = output_dir / f"{stem}.md"
+    receipt_path = output_dir / f"{stem}.receipt.json"
+    answer_sha256 = write_text_and_hash(answer_path, answer_text)
+
+    receipt: dict[str, Any] = {
+        "schema": CONTINUATION_SCHEMA if previous_answer_path else PRIMARY_SCHEMA,
+        "created_at": created_at,
+        "model": model,
+        "endpoint": endpoint,
+        "prompt_sha256": prompt_sha256,
+        "answer_sha256": answer_sha256,
+        "usage": usage,
+        "answer_path": repo_relative(answer_path, repo_root),
+    }
+
+    if previous_answer_path is None:
+        receipt["context_files"] = context_files
+    else:
+        receipt["previous_answer_path"] = repo_relative(previous_answer_path, repo_root)
+        if message_keys:
+            receipt["message_keys"] = message_keys
+
+    write_receipt(receipt_path, receipt)
+    verify_receipt(receipt_path, repo_root)
+    return EmittedReview(answer_path, receipt_path, answer_sha256, prompt_sha256)
+
+
+def verify_receipt_dir(path: Path, repo_root: Path = REPO) -> int:
+    count = 0
+    for receipt_path in sorted(path.glob("*.receipt.json")):
+        verify_receipt(receipt_path, repo_root)
+        count += 1
+    return count
+
+
+def read_prompt(args: argparse.Namespace) -> str:
+    if args.prompt_file:
+        return read_text(Path(args.prompt_file))
+    if args.prompt:
+        return args.prompt
+    return sys.stdin.read()
+
+
+def _cli() -> None:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("prompt", nargs="?", help="review prompt; stdin is used if omitted")
+    parser.add_argument("--prompt-file", help="read review prompt from a file")
+    parser.add_argument("--topic", default="review", help="artifact topic slug")
+    parser.add_argument("--model", default="deepseek-v3.2")
+    parser.add_argument("--endpoint", default=os.getenv("OLLAMA_ENDPOINT", DEFAULT_ENDPOINT))
+    parser.add_argument("--context-file", action="append", default=[], help="primary review context file")
+    parser.add_argument("--continue-from", help="previous answer markdown for continuation receipts")
+    parser.add_argument("--output-dir", default=str(DEFAULT_OUTPUT_DIR))
+    parser.add_argument("--max-tokens", type=int, default=5000)
+    parser.add_argument("--temperature", type=float, default=0.0)
+    parser.add_argument("--timestamp", help="UTC stamp YYYYMMDDTHHMMSSZ; mainly for tests/replay")
+    parser.add_argument("--answer-text-file", help="offline mode: write this answer text instead of calling Ollama")
+    parser.add_argument("--verify-only", nargs="*", help="verify receipt paths; with no paths, verify --output-dir")
+    args = parser.parse_args()
+
+    output_dir = Path(args.output_dir)
+    if args.verify_only is not None:
+        if args.verify_only:
+            for receipt in args.verify_only:
+                verify_receipt(Path(receipt))
+                print(f"verified {receipt}")
+        else:
+            count = verify_receipt_dir(output_dir)
+            print(f"verified {count} receipts in {output_dir}")
+        return
+
+    prompt = read_prompt(args)
+    response = None
+    if args.answer_text_file:
+        answer_text = read_text(Path(args.answer_text_file))
+        response = {
+            "choices": [{"message": {"role": "assistant", "content": answer_text}}],
+            "usage": {"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0},
+        }
+
+    emitted = emit_review(
+        topic=args.topic,
+        model=args.model,
+        prompt=prompt,
+        context_paths=[Path(p) for p in args.context_file],
+        previous_answer_path=Path(args.continue_from) if args.continue_from else None,
+        output_dir=output_dir,
+        endpoint=args.endpoint,
+        max_tokens=args.max_tokens,
+        temperature=args.temperature,
+        timestamp=args.timestamp,
+        response=response,
+    )
+    print(json.dumps({
+        "answer_path": repo_relative(emitted.answer_path),
+        "receipt_path": repo_relative(emitted.receipt_path),
+        "answer_sha256": emitted.answer_sha256,
+        "prompt_sha256": emitted.prompt_sha256,
+    }, indent=2))
+
+
+if __name__ == "__main__":
+    _cli()

5-Applications/tools-scripts/llm/test_ollama_deepseek_review_emitter.py

@@ -0,0 +1,106 @@
+#!/usr/bin/env python3
+
+from __future__ import annotations
+
+import importlib.util
+import json
+import sys
+import tempfile
+import unittest
+from pathlib import Path
+
+
+MODULE_PATH = Path(__file__).with_name("ollama_deepseek_review_emitter.py")
+SPEC = importlib.util.spec_from_file_location("ollama_deepseek_review_emitter", MODULE_PATH)
+assert SPEC is not None and SPEC.loader is not None
+emitter = importlib.util.module_from_spec(SPEC)
+sys.modules[SPEC.name] = emitter
+SPEC.loader.exec_module(emitter)
+
+
+class OllamaDeepSeekReviewEmitterTest(unittest.TestCase):
+    def test_primary_receipt_hashes_answer_after_write(self) -> None:
+        with tempfile.TemporaryDirectory() as tmp:
+            root = Path(tmp)
+            context = root / "context.md"
+            context.write_text("canonical arithmetic context", encoding="utf-8")
+            output = root / "deepseek_review"
+
+            emitted = emitter.emit_review(
+                topic="prime_gap_entropy_collapse",
+                model="deepseek-v3.2",
+                prompt="Review this.",
+                context_paths=[context],
+                previous_answer_path=None,
+                output_dir=output,
+                endpoint="http://localhost:11434/v1/chat/completions",
+                timestamp="20260512T000000Z",
+                response={
+                    "choices": [{"message": {"role": "assistant", "content": "answer body"}}],
+                    "usage": {"prompt_tokens": 2, "completion_tokens": 3, "total_tokens": 5},
+                },
+                repo_root=root,
+            )
+
+            receipt = json.loads(emitted.receipt_path.read_text(encoding="utf-8"))
+            self.assertEqual(receipt["schema"], emitter.PRIMARY_SCHEMA)
+            self.assertEqual(receipt["context_files"], ["context.md"])
+            self.assertEqual(receipt["answer_sha256"], emitter.sha256_bytes(emitted.answer_path.read_bytes()))
+            self.assertTrue(emitter.verify_receipt(emitted.receipt_path, root))
+
+    def test_continuation_omits_context_and_points_to_previous_answer(self) -> None:
+        with tempfile.TemporaryDirectory() as tmp:
+            root = Path(tmp)
+            previous = root / "previous.md"
+            previous.write_text("first answer", encoding="utf-8")
+            output = root / "deepseek_review"
+
+            emitted = emitter.emit_review(
+                topic="prime_gap_entropy_collapse",
+                model="deepseek-v4-flash",
+                prompt="Continue.",
+                context_paths=[],
+                previous_answer_path=previous,
+                output_dir=output,
+                endpoint="http://localhost:11434/v1/chat/completions",
+                timestamp="20260512T000100Z",
+                response={
+                    "choices": [{"message": {"role": "assistant", "content": "continued", "reasoning": "brief"}}],
+                    "usage": {"prompt_tokens": 1, "completion_tokens": 1, "total_tokens": 2},
+                },
+                repo_root=root,
+            )
+
+            receipt = json.loads(emitted.receipt_path.read_text(encoding="utf-8"))
+            self.assertEqual(receipt["schema"], emitter.CONTINUATION_SCHEMA)
+            self.assertNotIn("context_files", receipt)
+            self.assertEqual(receipt["previous_answer_path"], "previous.md")
+            self.assertEqual(receipt["message_keys"], ["role", "content", "reasoning"])
+            self.assertTrue(emitter.verify_receipt(emitted.receipt_path, root))
+
+    def test_verify_receipt_rejects_stale_answer_hash(self) -> None:
+        with tempfile.TemporaryDirectory() as tmp:
+            root = Path(tmp)
+            context = root / "context.md"
+            context.write_text("context", encoding="utf-8")
+            output = root / "deepseek_review"
+            emitted = emitter.emit_review(
+                topic="review",
+                model="deepseek-v3.2",
+                prompt="Review.",
+                context_paths=[context],
+                previous_answer_path=None,
+                output_dir=output,
+                endpoint="http://localhost:11434/v1/chat/completions",
+                timestamp="20260512T000200Z",
+                response={"choices": [{"message": {"role": "assistant", "content": "stable"}}]},
+                repo_root=root,
+            )
+
+            emitted.answer_path.write_text("mutated", encoding="utf-8")
+            with self.assertRaises(ValueError):
+                emitter.verify_receipt(emitted.receipt_path, root)
+
+
+if __name__ == "__main__":
+    unittest.main()

6-Documentation/wiki/DeepSeek-Review-Process.md

@@ -10,12 +10,11 @@ of the review pipeline, the receipt schema, and the canonical example
 `shared-data/artifacts/deepseek_review/`.
 
 Important boundary: the canonical artifacts documented on this page are
-Ollama-compatible review receipts. The tracked
-`5-Applications/tools-scripts/llm/deepseek_review_adapter.py` is a separate
-Anthropic-compatible DeepSeek adapter with its own `schema_version: "1.0"`
-receipt format. Do not use that adapter as the emitter for the
-`ollama_deepseek_review_receipt_v1` schema unless it has first been reconciled
-to this schema.
+Ollama-compatible review receipts. Use
+`5-Applications/tools-scripts/llm/ollama_deepseek_review_emitter.py` for this
+schema. The tracked `5-Applications/tools-scripts/llm/deepseek_review_adapter.py`
+is a separate Anthropic-compatible DeepSeek adapter with its own
+`schema_version: "1.0"` receipt format.
 
 ---
 
@@ -52,10 +51,12 @@ Anthropic-compatible DeepSeek reviews.
 The artifacts in `shared-data/artifacts/deepseek_review/` instead record the
 Ollama-compatible schema documented below: `schema`, `created_at`, `endpoint`,
 `usage.{prompt_tokens,completion_tokens,total_tokens}`, plain string
-`context_files`, and `answer_sha256`. As of this page, no tracked canonical
-Ollama emitter script has been identified in the repository. Treat the checked
-receipts themselves as the schema authority until such an emitter is added or
-the adapter is reconciled.
+`context_files`, and `answer_sha256`. The canonical emitter is
+`5-Applications/tools-scripts/llm/ollama_deepseek_review_emitter.py`; it writes
+the answer file first, computes `answer_sha256` from bytes read back from disk,
+writes the receipt, and immediately verifies the receipt against the answer
+path before returning success. This write-time verification gate exists because
+the first manually landed Ollama receipts had stale `answer_sha256` values.
 
 ### Receipt Schema
 
@@ -188,9 +189,11 @@ When emitting new review artifacts:
 2. Write the matching receipt alongside it with the same stem and
    `.receipt.json` suffix, using `ollama_deepseek_review_receipt_v1` for the
    primary review and `ollama_deepseek_review_continuation_receipt_v1` for any
-   continuation. Do not generate these receipts with
-   `5-Applications/tools-scripts/llm/deepseek_review_adapter.py`; it emits a
-   different Anthropic-compatible schema unless explicitly updated.
+   continuation. Use
+   `5-Applications/tools-scripts/llm/ollama_deepseek_review_emitter.py`; do not
+   generate these receipts with
+   `5-Applications/tools-scripts/llm/deepseek_review_adapter.py`, which emits a
+   different Anthropic-compatible schema.
 3. Populate `context_files` with repo-relative paths to every file consumed
    by the prompt so future agents can reproduce the prompt body. Continuation
    receipts omit `context_files` and `message_keys` records the alternate
@@ -208,6 +211,9 @@ When emitting new review artifacts:
 
 - [[Build-System]] — pinned Python interpreter for review tooling and
   prompt-hash reproducibility across runs.
+- `5-Applications/tools-scripts/llm/ollama_deepseek_review_emitter.py` —
+  canonical Ollama-compatible emitter for this schema; verifies
+  `answer_sha256` after writing.
 - `5-Applications/tools-scripts/llm/deepseek_review_adapter.py` —
   Anthropic-compatible DeepSeek adapter with a different receipt schema; useful
   as related infrastructure, but not the emitter for the current Ollama-style

6-Documentation/wiki/Home.md

@@ -81,4 +81,5 @@
 |---|---|
 | `wiki/DeepSeek-Review-Process.md` | Receipt schema (`ollama_deepseek_review_receipt_v1`), two-stage pipeline (`deepseek-v3.2` + `deepseek-v4-flash` continuation), prime-gap entropy-collapse example |
 | `shared-data/artifacts/deepseek_review/` | Paired answer + receipt artifacts for each review run |
+| `5-Applications/tools-scripts/llm/ollama_deepseek_review_emitter.py` | Canonical Ollama-compatible DeepSeek review emitter with write-time answer-hash verification |
 | `5-Applications/tools-scripts/llm/deepseek_review_adapter.py` | Related Anthropic-compatible DeepSeek adapter; it does not emit the current Ollama-style receipt schema |

AGENTS.md

@@ -24,6 +24,8 @@ This file is the first stop for coding agents working in this repository.
 - Documentation and wiki surfaces: `6-Documentation/`
 - Stack receipts: `shared-data/data/stack_solidification/`
 - Promoted review receipts: `shared-data/artifacts/deepseek_review/`
+- Canonical Ollama/DeepSeek review emitter:
+  `5-Applications/tools-scripts/llm/ollama_deepseek_review_emitter.py`
 - CAD harness: `5-Applications/text-to-cad/`
 - Historical scoped staging maps:
   `6-Documentation/docs/stack_solidification_staging_manifest_2026-05-09.md`
@@ -34,6 +36,9 @@ This file is the first stop for coding agents working in this repository.
 - For Lean changes, run the narrow target first, then the broader `lake build` when feasible.
 - For Python shims, run `python3 -m py_compile` on touched files.
 - For JSON receipts, run `python3 -m json.tool` or a repo-native receipt parser.
+- For promoted Ollama/DeepSeek review receipts, run
+  `python3 5-Applications/tools-scripts/llm/ollama_deepseek_review_emitter.py --verify-only`
+  so `answer_sha256` is checked against the answer file after write.
 - For hardware claims, distinguish software witness, bitstream presence, SRAM load, flash persistence, UART beacon, and live hardware receipt.
 - Before committing, run `git diff --cached --check` and a staged secret scan
   for touched source/receipt files. The repository credential hook is a final