image input pipeline: content-hash cache, data-url vision, picture_edit real

DECISIONS.md

@@ -35,7 +35,9 @@ Decisions inside the set architecture. D-NNN, never renumbered.
 - **D-009** — `translate()` still keys off `fix-model` although the
   repair path is gone; the whole translate-before-draw step dies in
   FDB-009 (gpt-image-2 is multilingual). Not worth a config rename
-  for one phase.
+  for one phase. *(Closed 2026-07-13: FDB-009 deleted translate();
+  the fix-model config key is now fully dead and can be dropped from
+  live configs.)*
 - **D-010** — Persistence uses stdlib `sqlite3` via
   `asyncio.to_thread`, not aiosqlite: no new dependency, and a
   connection-per-operation with WAL is plenty at this message volume.

config.toml

@@ -50,3 +50,12 @@ enable-game-info = true
 # split-threshold = 1200              # long answers split at paragraphs
 # split-max-parts = 3
 # quiet-hours = "21:00-09:00"         # no bot-initiated posts in this window
+
+# Image generation (SPEC-004)
+# image-model = "gpt-image-2"    # default; dall-e-3 gets clamped to n=1
+# image-size = "1024x1024"
+# image-quality = "medium"        # passed through only when set
+# Image input pipeline (SPEC-004, FDB-010) — active with history-directory:
+# image-cache-mb = 500          # LRU cap (ggg: consider 2000 — screenshots)
+# image-cache-ttl-days = 90
+# image-max-bytes = 8388608     # 8 MB upload cap

fjerkroa_bot/ai_responder.py

@@ -12,6 +12,7 @@ from pathlib import Path
 from pprint import pformat
 from typing import Any, Dict, List, Optional, Tuple, Union
 
+from .images import ImageCache
 from .memory import MemoryManager
 from .persistence import PersistentStore
 
@@ -123,6 +124,7 @@ class AIResponse(AIMessageBase):
         self.channel = channel
         self.staff = staff
         self.picture = picture
+        self.picture_count = 1
         self.picture_edit = picture_edit
         self.hack = hack
         self.vars = ["answer", "answer_needed", "channel", "staff", "picture", "hack"]
@@ -152,17 +154,16 @@ class AIResponder(AIResponderBase):
             if stored_memory is not None:
                 self.memory = stored_memory
         self.memory_manager = MemoryManager(self.store, lambda: self.config, self.consolidate, self.channel)
+        self.image_cache: Optional[ImageCache] = None
+        if self.store is not None:
+            self.image_cache = ImageCache(self.store, Path(self.config["history-directory"]).expanduser() / "images", lambda: self.config)
         logging.info(f"memmory:\n{self.memory}")
 
     # Dynamic values move to a context suffix so the persona prefix
     # stays byte-stable for the prompt cache (ENV-20)
     DYNAMIC_PLACEHOLDERS = ("{date}", "{time}", "{news}", "{memory}")
 
-    def message(self, message: AIMessage, limit: Optional[int] = None) -> List[Dict[str, Any]]:
+    def _context_lines(self, message: AIMessage) -> List[str]:
-        messages = []
-        persona = self.config.get(self.channel, self.config["system"])
-        for placeholder in self.DYNAMIC_PLACEHOLDERS:
-            persona = persona.replace(placeholder, "")
         context = [f"date: {time.strftime('%Y-%m-%d')} ({time.strftime('%A')})", f"time: {time.strftime('%H:%M:%S')}"]
         news_feed = self.config.get("news")
         if news_feed and os.path.exists(news_feed):
@@ -172,7 +173,19 @@ class AIResponder(AIResponderBase):
         memory_block = self.memory_manager.memory_block(participants, self.memory)
         if memory_block:
             context.append("memory:\n" + memory_block)
-        system = persona.rstrip() + "\n\n## Context\n" + "\n".join(context)
+        if self.image_cache is not None:
+            recent_images = self.image_cache.recent(message.channel, 4)
+            if recent_images:
+                # the model cannot use picture_edit unless told images exist (IMG-16)
+                context.append(f"recent images in this channel: {len(recent_images)} (set picture_edit=true to edit/remix the newest)")
+        return context
+
+    def message(self, message: AIMessage, limit: Optional[int] = None) -> List[Dict[str, Any]]:
+        messages = []
+        persona = self.config.get(self.channel, self.config["system"])
+        for placeholder in self.DYNAMIC_PLACEHOLDERS:
+            persona = persona.replace(placeholder, "")
+        system = persona.rstrip() + "\n\n## Context\n" + "\n".join(self._context_lines(message))
         messages.append({"role": "system", "content": system})
         if limit is not None:
             while len(self.history) > limit:
@@ -188,15 +201,15 @@ class AIResponder(AIResponderBase):
             messages.append({"role": "user", "content": content})
         return messages
 
-    async def draw(self, description: str) -> BytesIO:
+    async def draw(self, description: str, count: int = 1) -> List[BytesIO]:
         if self.config.get("leonardo-token") is not None:
-            return await self.draw_leonardo(description)
+            return [await self.draw_leonardo(description)]  # single image only, behind config
-        return await self.draw_openai(description)
+        return await self.draw_openai(description, count)
 
     async def draw_leonardo(self, description: str) -> BytesIO:
         raise NotImplementedError()
 
-    async def draw_openai(self, description: str) -> BytesIO:
+    async def draw_openai(self, description: str, count: int = 1) -> List[BytesIO]:
         raise NotImplementedError()
 
     async def post_process(self, message: AIMessage, response: Dict[str, Any]) -> AIResponse:
@@ -221,6 +234,10 @@ class AIResponder(AIResponderBase):
             bool(response.get("picture_edit", False)),
             bool(response.get("hack", False)),
         )
+        try:
+            response_message.picture_count = max(1, min(int(response.get("picture_count") or 1), 4))  # IMG-02
+        except (TypeError, ValueError):
+            response_message.picture_count = 1
         if response_message.staff is not None and response_message.answer is not None:
             response_message.answer_needed = True
         if response_message.channel is None:
@@ -250,9 +267,6 @@ class AIResponder(AIResponderBase):
         """Cheap reply/factual/emoji pre-pass (BEH-01); None = fail open."""
         raise NotImplementedError()
 
-    async def translate(self, text: str, language: str = "english") -> str:
-        raise NotImplementedError()
-
     @staticmethod
     def _entry_channel(item: Dict[str, Any]) -> Optional[str]:
         try:
@@ -299,11 +313,10 @@ class AIResponder(AIResponderBase):
             await asyncio.to_thread(self.store.save_history, self.channel, list(self.history))
 
     async def handle_picture(self, response: Dict) -> bool:
+        # Prompt goes to the image API verbatim — no translate step (IMG-05)
         if not isinstance(response.get("picture"), (type(None), str)):
             logging.warning(f"picture key is wrong in response: {pp(response)}")
             return False
-        if response.get("picture") is not None:
-            response["picture"] = await self.translate(response["picture"])
         return True
 
     def _parse_answer(self, answer: Dict[str, Any]) -> Optional[Dict[str, Any]]:

fjerkroa_bot/discord_bot.py

@@ -197,6 +197,8 @@ class FjerkroaBot(commands.Bot):
             removed += self.airesponder.store.delete_history_of_user(user)
             # facts + observations + episode traces (MEM-09)
             removed += self.airesponder.store.purge_user_memory(user)
+        if self.airesponder.image_cache is not None:
+            removed += self.airesponder.image_cache.purge_user(user)  # IMG-14
         logging.info(f"forgetme: removed {removed} entries for {user}")
         await message.channel.send(
             f"Removed your messages, facts and memory traces ({removed} entries).",
@@ -337,6 +339,8 @@ class FjerkroaBot(commands.Bot):
 
     async def on_message_delete(self, message):
         airesponder = self.get_ai_responder(self.get_channel_name(message.channel))
+        if airesponder.image_cache is not None:
+            airesponder.image_cache.purge_message(str(message.id))  # IMG-14
         await airesponder.observe_event(message.author.name, "delete", f"deleted: {message.content}")
 
     def on_config_file_modified(self, event):
@@ -410,14 +414,24 @@ class FjerkroaBot(commands.Bot):
         msg = AIMessage(
             message.author.name, message_content, channel_name, self.user in message.mentions or isinstance(message.channel, DMChannel)
         )
+        airesponder = self.get_ai_responder(channel_name)
         if message.attachments:
             for attachment in message.attachments:
                 if not msg.urls:
                     msg.urls = []
-                msg.urls.append(attachment.url)
+                if airesponder.image_cache is not None:
+                    # cache-first: CDN URLs never travel further (IMG-10/11)
+                    sha = await airesponder.image_cache.ingest_url(attachment.url, channel_name, message.author.name, str(message.id))
+                    if sha is not None:
+                        recent = airesponder.image_cache.recent(channel_name, 8)
+                        ext = next((row["ext"] for row in recent if row["sha256"] == sha), "png")
+                        data_url = airesponder.image_cache.data_url(sha, ext)
+                        if data_url:
+                            msg.urls.append(data_url)
+                else:
+                    msg.urls.append(attachment.url)
 
         # Reply/ignore classifier gate — direct messages bypass (BEH-01/02/03/07)
-        airesponder = self.get_ai_responder(channel_name)
         handled, factual = await self._classifier_gate(message, msg, airesponder, channel_name)
         if handled:
             return
@@ -462,7 +476,20 @@ class FjerkroaBot(commands.Bot):
         """Send the answer paced, split and with images on the last part (BEH-04/05/06)"""
         files = None
         if response.picture is not None:
-            files = [discord.File(fp=await airesponder.draw(response.picture), filename="image.png")]
+            count = getattr(response, "picture_count", 1)
+            channel_name = self.get_channel_name(answer_channel)
+            buffers = None
+            if getattr(response, "picture_edit", False) and airesponder.image_cache is not None:
+                sources = airesponder.image_cache.recent_paths(channel_name, 4)
+                if sources:
+                    buffers = await airesponder.edit_openai(response.picture, sources, count)
+            if buffers is None:
+                # empty cache or no edit request: plain generation (IMG-13 fallback)
+                buffers = await airesponder.draw(response.picture, count)
+            if airesponder.image_cache is not None:
+                for buffer in buffers:
+                    airesponder.image_cache.ingest_bytes(buffer.getvalue(), channel_name, "assistant", None)  # IMG-15
+            files = [discord.File(fp=buffer, filename=f"image-{index}.png") for index, buffer in enumerate(buffers)]
         parts = split_answer(response.answer, int(self.config.get("split-threshold", 1200)), int(self.config.get("split-max-parts", 3)))
         pace = float(self.config.get("typing-chars-per-second", 0) or 0)
         max_delay = float(self.config.get("typing-max-seconds", 8))

fjerkroa_bot/images.py

@@ -0,0 +1,124 @@
+"""Content-hash image cache (SPEC-004, FDB-010).
+
+Attachments are downloaded once, sniffed, stored under their sha256
+and served to vision as data: URLs — Discord's expiring CDN links
+never travel further (IMG-10/11). LRU + TTL keep the cache bounded
+(IMG-12); deletions and !forgetme propagate here (IMG-14).
+"""
+
+import base64
+import hashlib
+import logging
+from pathlib import Path
+from typing import Any, Callable, Dict, List, Optional
+
+import aiohttp
+
+from .persistence import PersistentStore
+
+DEFAULT_CACHE_MB = 500
+DEFAULT_TTL_DAYS = 90
+DEFAULT_MAX_BYTES = 8 * 1024 * 1024
+DOWNLOAD_TIMEOUT_S = 20
+
+MAGIC = [
+    (b"\x89PNG", "png"),
+    (b"\xff\xd8\xff", "jpg"),
+    (b"GIF87a", "gif"),
+    (b"GIF89a", "gif"),
+]
+
+
+def sniff_ext(data: bytes) -> Optional[str]:
+    """Extension from magic bytes only — names and headers lie (IMG-10)."""
+    for magic, ext in MAGIC:
+        if data.startswith(magic):
+            return ext
+    if data[:4] == b"RIFF" and data[8:12] == b"WEBP":
+        return "webp"
+    return None
+
+
+class ImageCache:
+    def __init__(self, store: PersistentStore, root: Path, config_getter: Callable[[], Dict[str, Any]]) -> None:
+        self.store = store
+        self.root = Path(root)
+        self._config = config_getter
+        self.root.mkdir(parents=True, exist_ok=True)
+
+    def _path(self, sha256: str, ext: str) -> Path:
+        return self.root / f"{sha256}.{ext}"
+
+    def ingest_bytes(self, data: bytes, channel: str, user: str, message_id: Optional[str]) -> Optional[str]:
+        ext = sniff_ext(data)
+        if ext is None:
+            logging.warning(f"image cache: rejected non-image bytes from {user} (IMG-10)")
+            return None
+        if len(data) > int(self._config().get("image-max-bytes", DEFAULT_MAX_BYTES)):
+            logging.warning(f"image cache: rejected oversized upload from {user} ({len(data)} bytes)")
+            return None
+        sha256 = hashlib.sha256(data).hexdigest()
+        path = self._path(sha256, ext)
+        if not path.exists():
+            path.write_bytes(data)
+        self.store.image_add(sha256, channel, user, message_id, ext, len(data))
+        self.evict()
+        return sha256
+
+    async def ingest_url(self, url: str, channel: str, user: str, message_id: Optional[str]) -> Optional[str]:
+        try:
+            data = await self._download(url)
+        except Exception as err:
+            logging.warning(f"image cache: download failed for {user}: {repr(err)}")
+            return None
+        return self.ingest_bytes(data, channel, user, message_id)
+
+    async def _download(self, url: str) -> bytes:
+        limit = int(self._config().get("image-max-bytes", DEFAULT_MAX_BYTES))
+        timeout = aiohttp.ClientTimeout(total=DOWNLOAD_TIMEOUT_S)
+        async with aiohttp.ClientSession(timeout=timeout) as session:
+            async with session.get(url) as response:
+                response.raise_for_status()
+                return await response.content.read(limit + 1)
+
+    def data_url(self, sha256: str, ext: str) -> Optional[str]:
+        path = self._path(sha256, ext)
+        if not path.exists():
+            return None
+        mime = "jpeg" if ext == "jpg" else ext
+        return f"data:image/{mime};base64," + base64.b64encode(path.read_bytes()).decode()
+
+    def recent(self, channel: str, count: int) -> List[Dict[str, Any]]:
+        return self.store.images_recent(channel, count)
+
+    def recent_paths(self, channel: str, count: int) -> List[Path]:
+        paths = [self._path(row["sha256"], row["ext"]) for row in self.recent(channel, count)]
+        return [path for path in paths if path.exists()]
+
+    def _remove(self, sha256: str, ext: str) -> None:
+        self._path(sha256, ext).unlink(missing_ok=True)
+        self.store.images_delete(sha256)
+
+    def evict(self) -> None:
+        """TTL first, then LRU down to the byte cap (IMG-12)."""
+        config = self._config()
+        for row in self.store.images_expired(int(config.get("image-cache-ttl-days", DEFAULT_TTL_DAYS))):
+            self._remove(row["sha256"], row["ext"])
+        cap = int(config.get("image-cache-mb", DEFAULT_CACHE_MB)) * 1024 * 1024
+        while self.store.images_total_bytes() > cap:
+            victims = self.store.images_oldest(1)
+            if not victims:
+                break
+            self._remove(victims[0]["sha256"], victims[0]["ext"])
+
+    def purge_user(self, user: str) -> int:
+        rows = self.store.images_for_user(user)
+        for row in rows:
+            self._remove(row["sha256"], row["ext"])
+        return len(rows)
+
+    def purge_message(self, message_id: str) -> int:
+        rows = self.store.images_for_message(message_id)
+        for row in rows:
+            self._remove(row["sha256"], row["ext"])
+        return len(rows)

fjerkroa_bot/openai_responder.py

@@ -1,14 +1,14 @@
 import asyncio
+import base64
 import hashlib
 import json
 import logging
 from io import BytesIO
 from typing import Any, Dict, List, Optional, Tuple
 
-import aiohttp
 import openai
 
-from .ai_responder import AIResponder, exponential_backoff, pp, sanitize_external_text
+from .ai_responder import AIResponder, exponential_backoff, sanitize_external_text
 from .igdblib import IGDBQuery
 from .leonardo_draw import LeonardoAIDrawMixIn
 from .quota import QuotaLedger
@@ -24,10 +24,11 @@ ENVELOPE_SCHEMA = {
         "channel": {"type": ["string", "null"], "description": "Target channel name, or null for the origin channel."},
         "staff": {"type": ["string", "null"], "description": "Alert text for the staff channel, or null."},
         "picture": {"type": ["string", "null"], "description": "Image generation prompt, or null."},
+        "picture_count": {"type": "integer", "description": "How many images to generate (1-4), 1 unless more were asked for."},
         "picture_edit": {"type": "boolean", "description": "Whether the picture refers to an earlier image."},
         "hack": {"type": "boolean", "description": "Whether the user tried to manipulate the assistant."},
     },
-    "required": ["answer", "answer_needed", "channel", "staff", "picture", "picture_edit", "hack"],
+    "required": ["answer", "answer_needed", "channel", "staff", "picture", "picture_count", "picture_edit", "hack"],
     "additionalProperties": False,
 }
 ENVELOPE_RESPONSE_FORMAT = {"type": "json_schema", "json_schema": {"name": "envelope", "strict": True, "schema": ENVELOPE_SCHEMA}}
@@ -92,10 +93,11 @@ async def openai_chat(client, *args, **kwargs):
 
 
 async def openai_image(client, *args, **kwargs):
-    response = await client.images.generate(*args, **kwargs)
+    return await client.images.generate(*args, **kwargs)
-    async with aiohttp.ClientSession() as session:
+
-        async with session.get(response.data[0].url) as image:
+
-            return BytesIO(await image.read())
+async def openai_image_edit(client, *args, **kwargs):
+    return await client.images.edit(*args, **kwargs)
 
 
 class OpenAIResponder(AIResponder, LeonardoAIDrawMixIn):
@@ -126,15 +128,26 @@ class OpenAIResponder(AIResponder, LeonardoAIDrawMixIn):
         else:
             logging.warning("❌ IGDB integration DISABLED - missing configuration or disabled in config")
 
-    async def draw_openai(self, description: str) -> BytesIO:
+    async def draw_openai(self, description: str, count: int = 1) -> List[BytesIO]:
         if not self.ledger.budget_ok():
             raise RuntimeError("daily budget exhausted - refusing image call")
+        model = self.config.get("image-model", "gpt-image-2")
+        kwargs: Dict[str, Any] = {"model": model, "prompt": description, "size": self.config.get("image-size", "1024x1024")}
+        if "image-quality" in self.config:
+            kwargs["quality"] = self.config["image-quality"]
+        if model.startswith("gpt-image"):
+            kwargs["n"] = max(1, min(int(count), 4))
+        else:
+            # legacy models: single image, base64 must be requested (IMG-04)
+            kwargs["n"] = 1
+            kwargs["response_format"] = "b64_json"
         for _ in range(3):
             try:
-                response = await openai_image(self.client, prompt=description, n=1, size="1024x1024", model="dall-e-3")
+                response = await openai_image(self.client, **kwargs)
-                self.ledger.add_images(1)
+                buffers = [BytesIO(base64.b64decode(item.b64_json)) for item in response.data]
-                logging.info(f"Drawed a picture with DALL-E on this description: {repr(description)}")
+                self.ledger.add_images(len(buffers))
-                return response
+                logging.info(f"generated {len(buffers)} image(s) on {model} for: {repr(description)}")
+                return buffers
             except Exception as err:
                 logging.warning(f"Failed to generate image {repr(description)}: {repr(err)}")
         raise RuntimeError(f"Failed to generate image {repr(description)} after multiple retries")
@@ -209,6 +222,8 @@ class OpenAIResponder(AIResponder, LeonardoAIDrawMixIn):
                     if igdb_functions and isinstance(igdb_functions, list):
                         chat_kwargs["tools"] = [{"type": "function", "function": func} for func in igdb_functions]
                         chat_kwargs["tool_choice"] = "auto"
+                        # gpt-5.6 rejects tools + reasoning on chat/completions (ENV-21)
+                        chat_kwargs["reasoning_effort"] = self.config.get("reasoning-effort", "none")
                         logging.info(f"🎮 IGDB functions available to AI: {[f['name'] for f in igdb_functions]}")
                         logging.debug(f"   Full chat_kwargs with tools: {list(chat_kwargs.keys())}")
                 except (TypeError, AttributeError) as e:
@@ -343,26 +358,28 @@ class OpenAIResponder(AIResponder, LeonardoAIDrawMixIn):
             logging.debug(f"Full traceback: {traceback.format_exc()}")
         return None, limit
 
-    async def translate(self, text: str, language: str = "english") -> str:
+    async def edit_openai(self, description: str, paths: List[Any], count: int = 1) -> List[BytesIO]:
-        if "fix-model" not in self.config:
+        """Edit/remix from cached inputs, ≤4 files (IMG-13)."""
-            return text
+        if not self.ledger.budget_ok():
-        message = [
+            raise RuntimeError("daily budget exhausted - refusing image edit")
-            {
+        model = self.config.get("image-model", "gpt-image-2")
-                "role": "system",
+        handles = [open(path, "rb") for path in paths[:4]]
-                "content": f"You are an professional translator to {language} language,"
-                f" you translate everything you get directly to {language}"
-                f" if it is not already in {language}, otherwise you just copy it.",
-            },
-            {"role": "user", "content": text},
-        ]
         try:
-            result = await openai_chat(self.client, model=self.config["fix-model"], messages=message)
+            response = await openai_image_edit(
-            response = result.choices[0].message.content
+                self.client,
-            logging.info(f"got this translated message:\n{pp(response)}")
+                model=model,
-            return response
+                image=handles if len(handles) > 1 else handles[0],
-        except Exception as err:
+                prompt=description,
-            logging.warning(f"failed to translate the text: {repr(err)}")
+                n=max(1, min(int(count), 4)),
-        return text
+                size=self.config.get("image-size", "1024x1024"),
+            )
+        finally:
+            for handle in handles:
+                handle.close()
+        buffers = [BytesIO(base64.b64decode(item.b64_json)) for item in response.data]
+        self.ledger.add_images(len(buffers))
+        logging.info(f"edited {len(buffers)} image(s) on {model} from {len(handles)} input(s)")
+        return buffers
 
     async def classify(self, message: Any, history_tail: List[Dict[str, Any]]) -> Optional[Dict[str, Any]]:
         """~100-token reply/factual/emoji verdict on classifier-model (BEH-01/03)."""

fjerkroa_bot/persistence.py

@@ -13,7 +13,7 @@ from contextlib import closing
 from pathlib import Path
 from typing import Any, Dict, List, Optional
 
-SCHEMA_VERSION = 3
+SCHEMA_VERSION = 4
 
 
 class PersistentStore:
@@ -60,6 +60,12 @@ class PersistentStore:
                 )
                 # Legacy single-string memories carry over as one episode each (MEM-08)
                 conn.execute("INSERT INTO episodes (channel, summary) SELECT channel, content FROM memory")
+            if version < 4:
+                conn.execute(
+                    "CREATE TABLE IF NOT EXISTS images (id INTEGER PRIMARY KEY, sha256 TEXT UNIQUE NOT NULL, channel TEXT NOT NULL,"
+                    " user TEXT NOT NULL, message_id TEXT, ext TEXT NOT NULL, bytes INTEGER NOT NULL,"
+                    " created_at TEXT NOT NULL DEFAULT (datetime('now')))"
+                )
             if version < SCHEMA_VERSION:
                 conn.execute(f"PRAGMA user_version = {SCHEMA_VERSION}")
         os.chmod(self.db_path, 0o600)  # conversation data (PER-04)
@@ -189,6 +195,53 @@ class PersistentStore:
             )
         return cursor.rowcount
 
+    # --- image cache index (SPEC-004, FDB-010) ---
+
+    def image_add(self, sha256: str, channel: str, user: str, message_id: Optional[str], ext: str, nbytes: int) -> None:
+        with closing(self._connect()) as conn, conn:
+            conn.execute(
+                "INSERT OR IGNORE INTO images (sha256, channel, user, message_id, ext, bytes) VALUES (?, ?, ?, ?, ?, ?)",
+                (sha256, channel, user, message_id, ext, nbytes),
+            )
+
+    def images_recent(self, channel: str, count: int) -> List[Dict[str, Any]]:
+        with closing(self._connect()) as conn:
+            rows = conn.execute(
+                "SELECT sha256, user, ext FROM images WHERE channel = ? ORDER BY id DESC LIMIT ?", (channel, count)
+            ).fetchall()
+        return [{"sha256": row[0], "user": row[1], "ext": row[2]} for row in rows]
+
+    def images_total_bytes(self) -> int:
+        with closing(self._connect()) as conn:
+            row = conn.execute("SELECT COALESCE(SUM(bytes), 0) FROM images").fetchone()
+        return int(row[0])
+
+    def images_oldest(self, count: int) -> List[Dict[str, Any]]:
+        with closing(self._connect()) as conn:
+            rows = conn.execute("SELECT sha256, ext, bytes FROM images ORDER BY id LIMIT ?", (count,)).fetchall()
+        return [{"sha256": row[0], "ext": row[1], "bytes": row[2]} for row in rows]
+
+    def images_expired(self, ttl_days: int) -> List[Dict[str, Any]]:
+        with closing(self._connect()) as conn:
+            rows = conn.execute(
+                "SELECT sha256, ext FROM images WHERE created_at < datetime('now', ?)", (f"-{int(ttl_days)} days",)
+            ).fetchall()
+        return [{"sha256": row[0], "ext": row[1]} for row in rows]
+
+    def images_delete(self, sha256: str) -> None:
+        with closing(self._connect()) as conn, conn:
+            conn.execute("DELETE FROM images WHERE sha256 = ?", (sha256,))
+
+    def images_for_user(self, user: str) -> List[Dict[str, Any]]:
+        with closing(self._connect()) as conn:
+            rows = conn.execute("SELECT sha256, ext FROM images WHERE user = ?", (user,)).fetchall()
+        return [{"sha256": row[0], "ext": row[1]} for row in rows]
+
+    def images_for_message(self, message_id: str) -> List[Dict[str, Any]]:
+        with closing(self._connect()) as conn:
+            rows = conn.execute("SELECT sha256, ext FROM images WHERE message_id = ?", (message_id,)).fetchall()
+        return [{"sha256": row[0], "ext": row[1]} for row in rows]
+
     def purge_user_memory(self, user: str) -> int:
         """Facts, observations and episode traces of one user (MEM-09)."""
         removed = 0

manual-verification.md

@@ -8,7 +8,7 @@ with date + result.
 | --- | --- | --- |
 | DEP-01 | 2026-07-13 | Verified with the v3.0.0 ggg deploy: tag-only refusal + untracked config/state survived. fjerkroa redeploy after the service window (tree already identical to 3d22894). |
 | DEP-02 | 2026-07-13 | Service map exercised: luma restart via script (v3.0.0); kroa mapping code-reviewed, exercised on its next deploy. |
-| DEP-03 | 2026-07-13 | ggg had no pre-existing bot.db (pickle era) — nothing to back up; backup branch code-reviewed, exercised on the next deploy of either host. |
+| DEP-03 | 2026-07-13 | Exercised with the v3.1.0 ggg deploy: bot.db.pre-v3.1.0 confirmed on the host. (v3.0.0 note: no pre-existing db in the pickle era.) |
 | DEP-04 | 2026-07-13 | Smoke gate exercised on ggg: RUNNING + fresh login line. |
 | DEP-05 | 2026-07-13 | Live-verified: kroa deploy attempt ~15h Oslo refused without DEPLOY_FORCE=1. |
 | DEP-06 | 2026-07-13 | Rollback documented (older tag + db backup restore); live drill pending — next release. |

specs/SPEC-001-responder-envelope.md

@@ -75,6 +75,14 @@ in a context suffix, not inline — see ENV-20; legacy `{date}`,
 `{time}`, `{news}`, `{memory}` placeholders in operator templates are
 stripped.
 
+### ENV-21 — Tool calls disable reasoning effort (coverage: test)
+
+When function tools are attached to a chat call, the call carries
+`reasoning_effort` (config `reasoning-effort`, default `"none"`) —
+gpt-5.6 models reject tools + reasoning on chat/completions with a
+400 otherwise (found live on ggg 2026-07-13: IGDB tools made Luma
+mute after the Luna cutover). Tool-less calls stay untouched.
+
 ### ENV-20 — Persona prefix is byte-stable (coverage: test)
 
 `message()` renders the system message as: static persona text
@@ -140,6 +148,7 @@ ENV-06.
 
 Every chat call carries `response_format` = strict JSON schema named
 `envelope` with exactly the fields `answer`, `answer_needed`,
-`channel`, `staff`, `picture`, `picture_edit`, `hack` — all required,
+`channel`, `staff`, `picture`, `picture_count` (since FDB-009,
+IMG-02), `picture_edit`, `hack` — all required,
 `additionalProperties: false`, nullable where the protocol allows
 null. Tool-followup calls carry the same format.

specs/SPEC-004-images.md

@@ -0,0 +1,89 @@
+# SPEC-004 — Image generation
+
+Generation on `image-model` (default `gpt-image-2`), base64 end to
+end — no URL downloads, no expiring CDN links in the generation path.
+Optional knobs: `image-size` (default 1024x1024), `image-quality`
+(passed through only when set). The Leonardo path stays behind
+`leonardo-token` until parity is confirmed, then dies. The input
+pipeline (attachment cache, vision, edit/remix) is FDB-010 / IMG-10+.
+
+### IMG-01 — Images arrive as base64 buffers (coverage: test)
+
+`draw_openai(description, count)` requests `count` images and returns
+a list of decoded image buffers straight from the API response; every
+generated image is metered in the ledger (SAF-05).
+
+### IMG-02 — The envelope carries picture_count (coverage: test)
+
+The envelope gains `picture_count` (integer). `post_process` clamps
+it to 1..4 and defaults to 1 when absent (legacy history entries,
+old-model output). ENV-19's field list is revised accordingly.
+
+### IMG-03 — Multiple images, one message (coverage: test)
+
+`picture_count` images are attached as multiple files to a single
+Discord send (the last part when the answer is split, per BEH-06).
+
+### IMG-04 — Legacy image models degrade safely (coverage: test)
+
+When `image-model` is not a `gpt-image-*` model (e.g. `dall-e-3`),
+the count is clamped to 1 and `response_format="b64_json"` is
+requested explicitly (gpt-image models return base64 natively and
+reject the parameter).
+
+### IMG-05 — Picture prompts go to the API untouched (coverage: test)
+
+The translate-before-draw step is deleted: the model's picture prompt
+reaches the image API verbatim (current image models handle
+Norwegian/German natively). The `translate()` method and its
+`fix-model` dependency are gone (closes D-009).
+
+## Input pipeline (FDB-010)
+
+Attachments live in a content-hash cache
+(`<history-directory>/images/<sha256>.<ext>`, index in the store,
+schema v4). Active only with a store; without one the legacy CDN-URL
+path remains.
+
+### IMG-10 — Attachments are ingested at message time (coverage: test)
+
+Every image attachment is downloaded immediately (timeout, size cap
+`image-max-bytes` default 8 MB) and stored under its content hash.
+Only sniffed png/jpeg/gif/webp bytes are accepted — extension and
+declared MIME are ignored (attacker-controlled). Rejected content is
+dropped and logged (D11 root fix + cache-abuse hardening).
+
+### IMG-11 — Vision reads from the cache, never CDN URLs (coverage: test)
+
+Vision parts are `data:` URLs built from cached bytes. Discord's
+signed, expiring CDN URLs never reach the model or the history.
+
+### IMG-12 — The cache is capped and aged (coverage: test)
+
+`image-cache-mb` (default 500) LRU-evicts oldest-first;
+`image-cache-ttl-days` (default 90) ages entries out. Eviction always
+removes file and index row together.
+
+### IMG-13 — picture_edit edits the newest channel images (coverage: test)
+
+`picture_edit=true` calls `images.edit` with up to the 4 newest
+cached images of the answer channel as inputs (API max is 16; 4 keeps
+prompts sane). An empty cache falls back to plain generation — the
+flag alone must never fail a reply.
+
+### IMG-14 — Deletion propagates to the cache (coverage: test)
+
+Deleting a Discord message purges its cached images; `!forgetme`
+purges all of the user's images — files and rows (extends
+SAF-08/MEM-09).
+
+### IMG-15 — Generated images join the cache (coverage: test)
+
+Bot-generated images are ingested like uploads (user `assistant`), so
+"make a variant of that" remix chains work on the bot's own output.
+
+### IMG-16 — The prompt announces editable images (coverage: test)
+
+When the answer channel has cached images, the context suffix states
+how many and that `picture_edit=true` edits the newest — the model
+cannot use a capability it does not know about.

tests/test_ai.py

@@ -102,33 +102,6 @@ You always try to say something positive about the current day and the Fjærkroa
         # Skip this test due to Mock iteration issues - functionality works in practice
         self.skipTest("Mock iteration issue - test works in real usage")
 
-    async def test_translate1(self) -> None:
-        self.bot.airesponder.config["fix-model"] = "gpt-4o-mini"
-
-        # Mock translation responses
-        def translation_side_effect(*args, **kwargs):
-            mock_resp = Mock()
-            mock_resp.choices = [Mock()]
-            mock_resp.choices[0].message = Mock()
-
-            # Check the input text to return appropriate translation
-            user_content = kwargs["messages"][1]["content"]
-            if user_content == "Das ist ein komischer Text.":
-                mock_resp.choices[0].message.content = "This is a strange text."
-            elif user_content == "This is a strange text.":
-                mock_resp.choices[0].message.content = "Dies ist ein seltsamer Text."
-            else:
-                mock_resp.choices[0].message.content = user_content
-
-            return mock_resp
-
-        self.mock_openai_chat.side_effect = translation_side_effect
-
-        response = await self.bot.airesponder.translate("Das ist ein komischer Text.")
-        self.assertEqual(response, "This is a strange text.")
-        response = await self.bot.airesponder.translate("This is a strange text.", language="german")
-        self.assertEqual(response, "Dies ist ein seltsamer Text.")
-
     async def test_fix1(self) -> None:
         # Skip this test due to Mock iteration issues - functionality works in practice
         self.skipTest("Mock iteration issue - test works in real usage")

tests/test_bdd_envelope.py

@@ -49,9 +49,6 @@ class FakeModelResponder(AIResponder):
     async def classify(self, message, history_tail):
         return getattr(self, "scripted_classification", None)
 
-    async def translate(self, text: str, language: str = "english") -> str:
-        return text
-
 
 @given(parsers.parse("a responder with history limit {limit:d}"), target_fixture="responder")
 def responder(limit):

tests/test_openai_responder_simple.py

@@ -30,16 +30,6 @@ class TestOpenAIResponderSimple(unittest.IsolatedAsyncioTestCase):
         """ENV-18: the repair path is gone — no fix() on the responder."""
         self.assertFalse(hasattr(self.responder, "fix"))
 
-    async def test_translate_no_fix_model(self):
-        """Test translate when no fix-model is configured."""
-        config_no_fix = {"openai-key": "test", "model": "gpt-4"}
-        responder = OpenAIResponder(config_no_fix)
-
-        original_text = "Hello world"
-        result = await responder.translate(original_text)
-
-        self.assertEqual(result, original_text)
-
     async def test_consolidate_no_memory_model(self):
         """MEM-10: without memory-model, consolidation is a no-op returning None."""
         config_no_memory = {"openai-key": "test", "model": "gpt-4"}

tests/test_spec_beh.py

@@ -121,7 +121,7 @@ class TestSplitSends(OpsBase):
         self.bot.config["split-threshold"] = 50
         answer = "Første del.\n\nAndre del som også er ganske lang her."
         response = AIResponse(answer, True, "chat", None, "a cat", False, False)
-        self.bot.airesponder.draw = AsyncMock(return_value=__import__("io").BytesIO(b"png"))
+        self.bot.airesponder.draw = AsyncMock(return_value=[__import__("io").BytesIO(b"png")])
         channel = MagicMock(spec=TextChannel)
         channel.send = AsyncMock()
         await self.bot.send_answer_with_typing(response, channel, self.bot.airesponder, factual=True)

tests/test_spec_img.py

@@ -0,0 +1,87 @@
+"""Unit coverage for SPEC-004 image generation (IMG-01..05)."""
+
+import base64
+import unittest
+from unittest.mock import AsyncMock, MagicMock, Mock, patch
+
+from discord import TextChannel
+
+from fjerkroa_bot.ai_responder import AIMessage, AIResponder, AIResponse
+from fjerkroa_bot.openai_responder import OpenAIResponder
+
+from .test_bdd_envelope import FakeModelResponder, envelope
+from .test_spec_ops import OpsBase
+
+RESPONDER_CONFIG = {"openai-token": "t", "model": "m", "system": "s", "history-limit": 5}
+
+
+def image_api_result(count):
+    return Mock(data=[Mock(b64_json=base64.b64encode(f"png{i}".encode()).decode()) for i in range(count)])
+
+
+class TestBase64Generation(unittest.IsolatedAsyncioTestCase):
+    async def test_draw_returns_decoded_buffers_and_meters(self):
+        """IMG-01: count images decoded from b64_json, each metered in the ledger."""
+        responder = OpenAIResponder(RESPONDER_CONFIG, "chat")
+        with patch("fjerkroa_bot.openai_responder.openai_image", new_callable=AsyncMock) as image_mock:
+            image_mock.return_value = image_api_result(2)
+            buffers = await responder.draw_openai("en katt på brygga", 2)
+        self.assertEqual([buf.read() for buf in buffers], [b"png0", b"png1"])
+        self.assertEqual(responder.ledger.images_today(), 2)
+        self.assertEqual(image_mock.await_args.kwargs["n"], 2)
+        self.assertEqual(image_mock.await_args.kwargs["model"], "gpt-image-2")
+        self.assertNotIn("response_format", image_mock.await_args.kwargs)
+
+    async def test_legacy_model_clamped_single_b64(self):
+        """IMG-04: dall-e-3 -> n=1 and explicit response_format=b64_json."""
+        config = dict(RESPONDER_CONFIG, **{"image-model": "dall-e-3"})
+        responder = OpenAIResponder(config, "chat")
+        with patch("fjerkroa_bot.openai_responder.openai_image", new_callable=AsyncMock) as image_mock:
+            image_mock.return_value = image_api_result(1)
+            buffers = await responder.draw_openai("a cat", 3)
+        self.assertEqual(len(buffers), 1)
+        self.assertEqual(image_mock.await_args.kwargs["n"], 1)
+        self.assertEqual(image_mock.await_args.kwargs["response_format"], "b64_json")
+
+
+class TestPictureCountEnvelope(unittest.IsolatedAsyncioTestCase):
+    async def clamp(self, raw):
+        responder = FakeModelResponder({"system": "s", "history-limit": 5}, "chat")
+        payload = {"answer": "ok", "answer_needed": True, "channel": "chat", "picture": "katt"}
+        if raw is not None:
+            payload["picture_count"] = raw
+        return await responder.post_process(AIMessage("alice", "tegn", "chat"), payload)
+
+    async def test_clamped_and_defaulted(self):
+        """IMG-02: picture_count clamps to 1..4, defaults to 1 when absent."""
+        self.assertEqual((await self.clamp(3)).picture_count, 3)
+        self.assertEqual((await self.clamp(9)).picture_count, 4)
+        self.assertEqual((await self.clamp(0)).picture_count, 1)
+        self.assertEqual((await self.clamp(None)).picture_count, 1)
+
+
+class TestMultiImageSend(OpsBase):
+    async def test_files_attached_to_single_send(self):
+        """IMG-03: picture_count images ride as multiple files on one send."""
+        response = AIResponse("her er kattene", True, "chat", None, "to katter", False, False)
+        response.picture_count = 2
+        import io
+
+        self.bot.airesponder.draw = AsyncMock(return_value=[io.BytesIO(b"a"), io.BytesIO(b"b")])
+        channel = MagicMock(spec=TextChannel)
+        channel.send = AsyncMock()
+        await self.bot.send_answer_with_typing(response, channel, self.bot.airesponder, factual=True)
+        self.bot.airesponder.draw.assert_awaited_once_with("to katter", 2)
+        files = channel.send.await_args.kwargs["files"]
+        self.assertEqual(len(files), 2)
+
+
+class TestNoTranslateStep(unittest.IsolatedAsyncioTestCase):
+    async def test_translate_is_gone_prompt_untouched(self):
+        """IMG-05: no translate() anywhere; the picture prompt survives verbatim."""
+        responder = FakeModelResponder({"system": "s", "history-limit": 5}, "chat")
+        self.assertFalse(hasattr(responder, "translate"))
+        self.assertFalse(hasattr(AIResponder, "translate"))
+        responder.scripted.append(envelope(answer="ok", answer_needed=True, picture="en rød katt på brygga"))
+        result = await responder.send(AIMessage("alice", "tegn en katt", "chat"))
+        self.assertEqual(result.picture, "en rød katt på brygga")

tests/test_spec_imgcache.py

@@ -0,0 +1,190 @@
+"""Unit coverage for SPEC-004 input pipeline (IMG-10..16)."""
+
+import base64
+import sqlite3
+import tempfile
+import unittest
+from pathlib import Path
+from unittest.mock import AsyncMock, MagicMock, Mock, patch
+
+from fjerkroa_bot.ai_responder import AIMessage, AIResponse
+from fjerkroa_bot.images import ImageCache, sniff_ext
+from fjerkroa_bot.openai_responder import OpenAIResponder
+from fjerkroa_bot.persistence import PersistentStore
+
+from .test_bdd_envelope import FakeModelResponder
+from .test_spec_ops import OpsBase
+
+PNG = b"\x89PNG\r\n\x1a\n" + b"x" * 64
+
+
+def make_cache(tmp, config=None):
+    store = PersistentStore(Path(tmp) / "bot.db")
+    cache = ImageCache(store, Path(tmp) / "images", lambda: config or {})
+    return store, cache
+
+
+class TestIngest(unittest.TestCase):
+    def test_sniffed_types_only(self):
+        """IMG-10: magic bytes decide; garbage and foreign types are rejected."""
+        self.assertEqual(sniff_ext(PNG), "png")
+        self.assertEqual(sniff_ext(b"\xff\xd8\xff\xe0rest"), "jpg")
+        self.assertIsNone(sniff_ext(b"MZ\x90\x00 definitely-an-exe"))
+        with tempfile.TemporaryDirectory() as tmp:
+            store, cache = make_cache(tmp)
+            self.assertIsNone(cache.ingest_bytes(b"not an image", "chat", "alice", "1"))
+            sha = cache.ingest_bytes(PNG, "chat", "alice", "1")
+            self.assertIsNotNone(sha)
+            self.assertTrue((Path(tmp) / "images" / f"{sha}.png").exists())
+            self.assertEqual(store.images_recent("chat", 5)[0]["sha256"], sha)
+
+    def test_size_cap(self):
+        """IMG-10: oversized uploads are dropped."""
+        with tempfile.TemporaryDirectory() as tmp:
+            _, cache = make_cache(tmp, {"image-max-bytes": 32})
+            self.assertIsNone(cache.ingest_bytes(PNG, "chat", "alice", "1"))
+
+
+class TestVisionDataUrls(OpsBase):
+    async def test_attachment_becomes_data_url(self):
+        """IMG-11: the model sees a data: URL, never the CDN link."""
+        with tempfile.TemporaryDirectory() as tmp:
+            _, cache = make_cache(tmp)
+            self.bot.airesponder.image_cache = cache
+            self.bot.respond = AsyncMock()
+            message = self.public_msg("look at this")
+            attachment = Mock()
+            attachment.url = "https://cdn.discordapp.com/attachments/1/2/cat.png?ex=deadbeef"
+            message.attachments = [attachment]
+            message.id = 42
+            with patch.object(ImageCache, "_download", new_callable=AsyncMock, return_value=PNG):
+                await self.bot.on_message(message)
+            sent_msg = self.bot.respond.await_args.args[0]
+            self.assertTrue(sent_msg.urls[0].startswith("data:image/png;base64,"))
+            self.assertNotIn("cdn.discordapp.com", sent_msg.urls[0])
+
+
+class TestEviction(unittest.TestCase):
+    def test_lru_cap(self):
+        """IMG-12: byte cap evicts oldest first, file + row together."""
+        big = b"\x89PNG\r\n\x1a\n" + b"a" * (700 * 1024)
+        big2 = b"\x89PNG\r\n\x1a\n" + b"b" * (700 * 1024)
+        with tempfile.TemporaryDirectory() as tmp:
+            store, cache = make_cache(tmp, {"image-cache-mb": 1})
+            first = cache.ingest_bytes(big, "chat", "alice", "1")
+            second = cache.ingest_bytes(big2, "chat", "alice", "2")
+            shas = [row["sha256"] for row in store.images_recent("chat", 5)]
+            self.assertNotIn(first, shas)
+            self.assertIn(second, shas)
+            self.assertFalse((Path(tmp) / "images" / f"{first}.png").exists())
+
+    def test_ttl(self):
+        """IMG-12: entries past image-cache-ttl-days age out."""
+        with tempfile.TemporaryDirectory() as tmp:
+            store, cache = make_cache(tmp, {"image-cache-ttl-days": 30})
+            sha = cache.ingest_bytes(PNG, "chat", "alice", "1")
+            with sqlite3.connect(store.db_path) as conn:
+                conn.execute("UPDATE images SET created_at = datetime('now', '-60 days') WHERE sha256 = ?", (sha,))
+            cache.evict()
+            self.assertEqual(store.images_recent("chat", 5), [])
+            self.assertFalse((Path(tmp) / "images" / f"{sha}.png").exists())
+
+
+class TestEditPath(OpsBase):
+    async def prepare(self, with_images):
+        self.tmp = tempfile.TemporaryDirectory()
+        self.addCleanup(self.tmp.cleanup)
+        _, cache = make_cache(self.tmp.name)
+        self.bot.airesponder.image_cache = cache
+        if with_images:
+            cache.ingest_bytes(PNG, "chat", "alice", "1")
+        self.bot.airesponder.edit_openai = AsyncMock(return_value=[__import__("io").BytesIO(PNG)])
+        self.bot.airesponder.draw = AsyncMock(return_value=[__import__("io").BytesIO(PNG)])
+        response = AIResponse("her", True, "chat", None, "als wikinger", True, False)
+        channel = MagicMock()
+        channel.name = "chat"
+        channel.send = AsyncMock()
+        channel.typing = MagicMock(return_value=AsyncMock(__aenter__=AsyncMock(), __aexit__=AsyncMock()))
+        await self.bot.send_answer_with_typing(response, channel, self.bot.airesponder, factual=True)
+
+    async def test_edit_uses_cached_sources(self):
+        """IMG-13: picture_edit + cached images -> images.edit path."""
+        await self.prepare(with_images=True)
+        self.bot.airesponder.edit_openai.assert_awaited_once()
+        self.bot.airesponder.draw.assert_not_awaited()
+
+    async def test_empty_cache_falls_back_to_generate(self):
+        """IMG-13: empty cache -> plain generation, the flag never fails a reply."""
+        await self.prepare(with_images=False)
+        self.bot.airesponder.edit_openai.assert_not_awaited()
+        self.bot.airesponder.draw.assert_awaited_once()
+
+
+class TestPurges(OpsBase):
+    async def test_message_delete_and_forgetme_purge_images(self):
+        """IMG-14: message deletion and !forgetme remove files + rows."""
+        with tempfile.TemporaryDirectory() as tmp:
+            store, cache = make_cache(tmp)
+            self.bot.airesponder.image_cache = cache
+            cache.ingest_bytes(PNG, "chat", "alice", "99")
+            deleted = MagicMock()
+            deleted.id = 99
+            deleted.content = "pic"
+            deleted.author.name = "alice"
+            deleted.channel = MagicMock()
+            await self.bot.on_message_delete(deleted)
+            self.assertEqual(store.images_recent("chat", 5), [])
+            cache.ingest_bytes(b"\x89PNG\r\n\x1a\n" + b"z" * 32, "chat", "alice", "100")
+            message = self.public_msg("!forgetme")
+            message.author.name = "alice"
+            await self.bot.on_message(message)
+            self.assertEqual(store.images_recent("chat", 5), [])
+
+
+class TestGeneratedImagesCached(OpsBase):
+    async def test_bot_output_joins_cache(self):
+        """IMG-15: generated images are ingested as user 'assistant'."""
+        with tempfile.TemporaryDirectory() as tmp:
+            store, cache = make_cache(tmp)
+            self.bot.airesponder.image_cache = cache
+            self.bot.airesponder.draw = AsyncMock(return_value=[__import__("io").BytesIO(PNG)])
+            response = AIResponse("her", True, "chat", None, "en katt", False, False)
+            channel = MagicMock()
+            channel.name = "chat"
+            channel.send = AsyncMock()
+            await self.bot.send_answer_with_typing(response, channel, self.bot.airesponder, factual=True)
+            rows = store.images_recent("chat", 5)
+            self.assertEqual(len(rows), 1)
+            self.assertEqual(rows[0]["user"], "assistant")
+
+
+class TestContextAnnouncesImages(unittest.IsolatedAsyncioTestCase):
+    def test_suffix_mentions_picture_edit(self):
+        """IMG-16: cached channel images are announced in the context suffix."""
+        with tempfile.TemporaryDirectory() as tmp:
+            config = {"system": "s", "history-limit": 5, "history-directory": tmp}
+            responder = FakeModelResponder(config, "chat")
+            responder.image_cache.ingest_bytes(PNG, "chat", "alice", "1")
+            system = responder.message(AIMessage("alice", "hei", "chat"))[0]["content"]
+            self.assertIn("picture_edit", system)
+            self.assertIn("recent images in this channel: 1", system)
+
+
+class TestEditOpenai(unittest.IsolatedAsyncioTestCase):
+    async def test_edit_call_shape_and_metering(self):
+        """IMG-13: images.edit gets the file handles, n clamped, ledger counts."""
+        responder = OpenAIResponder({"openai-token": "t", "model": "m", "system": "s", "history-limit": 5}, "chat")
+        with tempfile.TemporaryDirectory() as tmp:
+            paths = []
+            for index in range(2):
+                path = Path(tmp) / f"in{index}.png"
+                path.write_bytes(PNG)
+                paths.append(path)
+            api_result = Mock(data=[Mock(b64_json=base64.b64encode(b"out").decode())])
+            with patch("fjerkroa_bot.openai_responder.openai_image_edit", new_callable=AsyncMock) as edit_mock:
+                edit_mock.return_value = api_result
+                buffers = await responder.edit_openai("wikinger", paths, 9)
+        self.assertEqual(buffers[0].read(), b"out")
+        self.assertEqual(edit_mock.await_args.kwargs["n"], 4)
+        self.assertEqual(len(edit_mock.await_args.kwargs["image"]), 2)
+        self.assertEqual(responder.ledger.images_today(), 1)

tests/test_spec_structured.py

@@ -43,7 +43,7 @@ class TestEnvelopeSchema(unittest.IsolatedAsyncioTestCase):
         """ENV-19: strict envelope schema — exact fields, all required, closed object."""
         json_schema = ENVELOPE_RESPONSE_FORMAT["json_schema"]
         schema = json_schema["schema"]
-        expected = {"answer", "answer_needed", "channel", "staff", "picture", "picture_edit", "hack"}
+        expected = {"answer", "answer_needed", "channel", "staff", "picture", "picture_count", "picture_edit", "hack"}
         self.assertEqual(set(schema["properties"]), expected)
         self.assertEqual(set(schema["required"]), expected)
         self.assertFalse(schema["additionalProperties"])

tests/test_spec_tools.py

@@ -0,0 +1,38 @@
+"""Unit coverage for ENV-21 (tools + reasoning_effort, found live on ggg)."""
+
+import unittest
+from unittest.mock import AsyncMock, Mock, patch
+
+from fjerkroa_bot.openai_responder import OpenAIResponder
+
+from .test_bdd_envelope import envelope
+
+
+def ok_result():
+    message = Mock(content=envelope(answer="x", answer_needed=True), role="assistant", tool_calls=None, refusal=None)
+    return Mock(choices=[Mock(message=message)], usage="usage")
+
+
+class TestToolsReasoningEffort(unittest.IsolatedAsyncioTestCase):
+    async def chat_kwargs(self, with_tools):
+        config = {"openai-token": "t", "model": "gpt-5.6-luna", "system": "s", "history-limit": 5, "enable-game-info": with_tools}
+        responder = OpenAIResponder(config, "chat")
+        if with_tools:
+            responder.igdb = Mock()
+            responder.igdb.get_openai_functions = Mock(return_value=[{"name": "search_games", "parameters": {}}])
+        with patch("fjerkroa_bot.openai_responder.openai_chat", new_callable=AsyncMock) as chat_mock:
+            chat_mock.return_value = ok_result()
+            await responder.chat([{"role": "user", "content": "hi"}], 10)
+        return chat_mock.await_args.kwargs
+
+    async def test_tools_carry_reasoning_effort_none(self):
+        """ENV-21: tools attached -> reasoning_effort 'none' rides along."""
+        kwargs = await self.chat_kwargs(with_tools=True)
+        self.assertIn("tools", kwargs)
+        self.assertEqual(kwargs["reasoning_effort"], "none")
+
+    async def test_toolless_calls_untouched(self):
+        """ENV-21: without tools no reasoning_effort is sent."""
+        kwargs = await self.chat_kwargs(with_tools=False)
+        self.assertNotIn("tools", kwargs)
+        self.assertNotIn("reasoning_effort", kwargs)