slowly working on the revised version of the chat, my rethink the whole idea

## Summary

Implements the gitea_coder role as defined in issue #11, providing a complete workflow automation layer for Git operations with scope enforcement.

## Features

### Branch Management with Scope Gating
- ✅ Enforces branch naming conventions (feature/, fix/, refactor/, docs/, test/, chore/)
- ✅ Prevents direct pushes to protected branches (main, master, develop, dev)
- ✅ Auto-appends issue numbers to branch names

### Unified Commit Workflow
- ✅ Automatic create vs replace detection
- ✅ Conventional commits format with issue references
- ✅ Detailed commit message generation

### PR Creation
- ✅ Validates source branch is not protected
- ✅ Auto-references issues in PR description
- ✅ Uses existing gitea/dev.py operations

### Ticket Integration
- ✅ Reads and parses issue requirements
- ✅ Extracts testing criteria and technical notes
- ✅ Suggests branch names from issue content

## Files Added
- `gitea/coder.py` - Complete gitea_coder role implementation

## Files Modified
- `README.md` - Added gitea_coder documentation

## Testing Criteria
✅ Can create feature branch from ticket
✅ Can modify files according to ticket requirements
✅ Can generate commit messages with issue references
✅ Can create PR for review

Refs: #11
Reviewed-on: #20

README.md

@@ -8,6 +8,7 @@ This monorepo contains a collection of automation tools for Open WebUI, designed
 Python scripts for Git operations and repository management:
 - **`admin.py`**: Administrative utilities for managing Gitea repositories, potentially including user management, permissions, and batch operations.
 - **`dev.py`**: Development-focused tools for Git workflows, branch handling, and repository interactions tailored for software development processes.
+- **`coder.py`**: Development workflow role that reads tickets, creates branches with scope enforcement, generates commit messages with issue references, and creates pull requests.
 
 ### venice/
 Tools for interacting with Venice AI services:
@@ -15,4 +16,4 @@ Tools for interacting with Venice AI services:
 - **`image.py`**: Utilities for image processing and generation using AI models.
 - **`info.py`**: Information retrieval and data handling tools, possibly for querying AI models or processing related data.
 
-These tools are modular and can be used independently or integrated into larger automation pipelines for Open WebUI.
+These tools are modular and can be used independently or integrated into larger automation pipelines for Open WebUI.

gitea/dev.py

@@ -1,11 +1,18 @@
 """
 title: Gitea Dev - Native Mode Optimized
 author: Jeff Smith + Claude + minimax + kimi-k2
-version: 1.4.0
+version: 1.4.1
 license: MIT
 description: Interact with Gitea repositories - native tool calling optimized for high-tier LLMs with robust error handling
 requirements: pydantic, httpx
 changelog:
+  1.4.2:
+    - Fixed renamed update_file to replace file, as update implied diff
+  1.4.1:
+    - Fixed redundant __user__ checks in _get_token, _get_repo, _get_branch, _get_org
+    - Fixed merge_pull_request: proper conflict detection, merged status check, and empty response handling
+    - Fixed delete_file: proper 404 handling before raise_for_status
+    - Fixed update_file: proper 404 handling before raise_for_status
   1.4.0:
     - Added CRUD operations for Issues (get, update, close, reopen, delete, comments)
     - Added CRUD operations for Pull Requests (get, update, merge, comments)
@@ -102,8 +109,9 @@ class Tools:
     def _get_token(self, __user__: dict = None) -> str:
         """Extract Gitea token from user context with robust handling"""
         if __user__ and "valves" in __user__:
-            user_valves = __user__.get("valves") if __user__ else None
+            user_valves = __user__.get("valves")
-            return user_valves.GITEA_TOKEN
+            if user_valves:
+                return user_valves.GITEA_TOKEN
         return ""
 
     def _headers(self, __user__: dict = None) -> dict:
@@ -132,9 +140,10 @@ class Tools:
         if repo:
             return repo
         if __user__ and "valves" in __user__:
-            user_valves = __user__.get("valves") if __user__ else None
+            user_valves = __user__.get("valves")
-            if self.valves.ALLOW_USER_OVERRIDES and user_valves.USER_DEFAULT_REPO:
+            if user_valves:
-                return user_valves.USER_DEFAULT_REPO
+                if self.valves.ALLOW_USER_OVERRIDES and user_valves.USER_DEFAULT_REPO:
+                    return user_valves.USER_DEFAULT_REPO
         return self.valves.DEFAULT_REPO
 
     def _get_branch(self, branch: Optional[str], __user__: dict = None) -> str:
@@ -142,9 +151,10 @@ class Tools:
         if branch:
             return branch
         if __user__ and "valves" in __user__:
-            user_valves = __user__.get("valves") if __user__ else None
+            user_valves = __user__.get("valves")
-            if self.valves.ALLOW_USER_OVERRIDES and user_valves.USER_DEFAULT_BRANCH:
+            if user_valves:
-                return user_valves.USER_DEFAULT_BRANCH
+                if self.valves.ALLOW_USER_OVERRIDES and user_valves.USER_DEFAULT_BRANCH:
+                    return user_valves.USER_DEFAULT_BRANCH
         return self.valves.DEFAULT_BRANCH
 
     def _get_org(self, org: Optional[str], __user__: dict = None) -> str:
@@ -152,9 +162,10 @@ class Tools:
         if org:
             return org
         if __user__ and "valves" in __user__:
-            user_valves = __user__.get("valves") if __user__ else None
+            user_valves = __user__.get("valves")
-            if self.valves.ALLOW_USER_OVERRIDES and user_valves.USER_DEFAULT_ORG:
+            if user_valves:
-                return user_valves.USER_DEFAULT_ORG
+                if self.valves.ALLOW_USER_OVERRIDES and user_valves.USER_DEFAULT_ORG:
+                    return user_valves.USER_DEFAULT_ORG
         return self.valves.DEFAULT_ORG
 
     def _resolve_repo(
@@ -546,7 +557,7 @@ class Tools:
                 f"Error: Unexpected failure during file fetch: {type(e).__name__}: {e}"
             )
 
-    async def update_file(
+    async def replace_file(
         self,
         path: str,
         content: str,
@@ -729,7 +740,7 @@ class Tools:
         except httpx.HTTPStatusError as e:
             error_msg = self._format_error(e, f"file creation for '{path}'")
             if e.response.status_code == 422:
-                return f"Error: File already exists: `{path}`. Use `update_file()` to modify it instead."
+                return f"Error: File already exists: `{path}`. Use `replace_file()` to modify it instead."
             return f"Error: Failed to create file. {error_msg}"
         except Exception as e:
             return f"Error: Unexpected failure during file creation: {type(e).__name__}: {e}"
@@ -2419,14 +2430,33 @@ class Tools:
                     json={"merge_strategy": merge_strategy},
                 )
 
+                # Check for conflict before raise_for_status
+                if response.status_code == 409:
+                    try:
+                        error_data = response.json()
+                        error_msg = error_data.get("message", "Merge conflicts detected")
+                    except Exception:
+                        error_msg = "Merge conflicts detected"
+                    return f"Error: PR #{pr_number} cannot be merged due to conflicts.\n\nDetails: {error_msg}"
+
                 if response.status_code == 405:
-                    return "Error: PR cannot be merged. Check if it's already merged or has conflicts."
+                    try:
+                        error_data = response.json()
+                        error_msg = error_data.get("message", "PR cannot be merged")
+                    except Exception:
+                        error_msg = "PR cannot be merged"
+                    return f"Error: PR #{pr_number} cannot be merged. {error_msg}"
 
                 response.raise_for_status()
-                result = response.json() if response.text else {}
 
-            merged = result.get("merged", True)
+                # Handle successful merge response (may be empty or have merge details)
-            commit_sha = result.get("merge_commit", {}).get("sha", "")[:8]
+                if not response.text:
+                    merged = True
+                    commit_sha = ""
+                else:
+                    result = response.json() if response.text else {}
+                    merged = result.get("merged", True)  # Default to True if key missing
+                    commit_sha = result.get("merge_commit", {}).get("sha", "")[:8] if result else ""
 
             if __event_emitter__:
                 await __event_emitter__(
@@ -2446,10 +2476,12 @@ class Tools:
                 )
                 return output
             else:
-                return f"**PR #{pr_number} Merge Result:**\n\n{result}\n"
+                return f"**PR #{pr_number} Merge Result:**\n\nMerge operation returned success=false"
 
         except httpx.HTTPStatusError as e:
             error_msg = self._format_error(e, f"PR #{pr_number} merge")
+            if e.response.status_code == 409:
+                return f"Error: PR #{pr_number} cannot be merged due to conflicts."
             if e.response.status_code == 405:
                 return f"Error: PR #{pr_number} cannot be merged. It may already be merged or have merge conflicts."
             return f"Error: Failed to merge PR. {error_msg}"

owui/chat.py

@@ -0,0 +1,842 @@
+"""
+title: Multi-Model Chat Orchestrator
+author: Jeff Smith + Kimi K2
+version: 1.0.0
+license: MIT
+required_open_webui_version: 0.7.0
+requirements: httpx, pydantic
+description: |
+  Genuine model-to-model conversations with full persistence. Enables an orchestrator model to
+  coordinate real chats between different models. Features relationship-based model discovery,
+  programmatic tagging, and robust multi-turn conversation handling.
+
+🚀 QUICK START:
+  1. list_models() - See available models (no limits)
+  2. get_models_by_tag("cap:artist") - Find models by capability tag
+  3. discover_model_relationships("rel:works-with") - Visualize model networks
+  4. chat_with_model("new", "luna", "Hello!") - Start new orchestrated chat
+  5. chat_with_model("{chat_id}", None, "Continue...") - Multi-turn conversation
+
+🔑 ORCHESTRATOR PATTERN:
+  - YOU are the orchestrator - you coordinate, you don't write content
+  - Target models receive messages with injection: "(You may respond in chat {chat_id})"
+  - All completions are automatically persisted with proper parent-child linkage
+  - Use cap:artist, rel:works-with-luna tags for intelligent model selection
+"""
+
+import json
+import uuid
+import time
+import asyncio
+from typing import Callable, Any, Optional, Dict, List
+from pydantic import BaseModel, Field
+import httpx
+
+class OWUIChat:
+    """
+    """
+
+    def __init(self, tools_instance):
+        self.tools = tools_instance
+
+    @property
+    def valves(self):
+        """Access valves from parent Tools instance"""
+        return self.tools.valves
+
+    def get_api_config(self, __request__=None) -> tuple[str, dict]:
+        """Extract base URL and auth from request context [1]."""
+        base_url = ""
+        headers = {"Content-Type": "application/json"}
+
+        if __request__:
+            base_url = str(getattr(__request__, "base_url", "") or "")
+            req_headers = getattr(__request__, "headers", {})
+            if req_headers:
+                auth = dict(req_headers).get("authorization", "")
+                if auth:
+                    headers["Authorization"] = auth
+
+        return base_url.rstrip("/"), headers
+
+    async def api_request(
+        self,
+        method: str,
+        endpoint: str,
+        __request__=None,
+        json_data: Dict = None,
+        params: Dict = None,
+    ) -> tuple[int, Any]:
+        """Make authenticated API request with proper error handling."""
+        base_url, headers = self.get_api_config(__request__)
+        if not base_url:
+            return 0, {"error": "Could not determine API URL"}
+
+        url = f"{base_url}{endpoint}"
+        try:
+            async with httpx.AsyncClient(
+                headers=headers, timeout=float(self.valves().TIMEOUT)
+            ) as client:
+                response = await client.request(
+                    method, url, json=json_data, params=params
+                )
+                content_type = response.headers.get("content-type", "")
+                if "application/json" in content_type:
+                    return response.status_code, response.json()
+                return response.status_code, response.text
+        except Exception as e:
+            return 0, {"error": f"Request failed: {str(e)}"}
+    
+
+class Tools:
+    """Multi-Model Chat Orchestrator - Real model-to-model communication with persistence."""
+
+    class Valves(BaseModel):
+        """Configuration for the orchestrator."""
+
+        DEFAULT_MODEL_TAGS: str = Field(
+            default="assistant,helper,agent",
+            description="Comma-separated tags for automatic model discovery",
+        )
+        TIMEOUT: int = Field(default=180, description="API request timeout in seconds")
+        DEBUG_MODE: bool = Field(
+            default=False, description="Enable verbose error output"
+        )
+        MAX_RESULTS: int = Field(
+            default=50, description="Maximum models to display in list operations"
+        )
+        TAG_PREFIX_CAPABILITY: str = Field(
+            default="cap:", description="Prefix for capability tags"
+        )
+        TAG_PREFIX_RELATIONSHIP: str = Field(
+            default="rel:", description="Prefix for relationship tags"
+        )
+
+    class UserValves(BaseModel):
+        pass
+
+    def __init__(self):
+        self.valves = self.Valves()
+        self.owui_chat = OWUIChat(self)
+
+    async def find_chat_by_title(self, title: str, __request__=None) -> dict:
+        """Find chat ID by title (partial match). Returns exact ID if one match found."""
+        status, data = await self.owui_chat.api_request("GET", "/api/v1/chats/", __request__)
+        retVal = {"status": "failure", "message": ""}
+
+        if status != 200:
+            retVal["message"] = f"❌ find_chat_by_title FAILED\nHTTP {status}: {data}"
+            return retVal
+
+        chat_list = (
+            data
+            if isinstance(data, list)
+            else data.get("items", []) if isinstance(data, dict) else []
+        )
+
+        matches = []
+        for chat in chat_list:
+            if not isinstance(chat, dict):
+                continue
+            chat_title = chat.get("title", "")
+            if title.lower() in chat_title.lower():
+                matches.append(
+                    {
+                        "id": chat.get("id"),
+                        "title": chat_title,
+                        "models": (
+                            chat.get("chat", {}).get("models", [])
+                            if isinstance(chat.get("chat"), dict)
+                            else []
+                        ),
+                    }
+                )
+
+        if not matches:
+            retVal["messages"] = f"❌ No chats found matching '{title}'"
+            return retVal
+        if len(matches) == 1:
+            m = matches[0]
+            retVal["status"] = "success"
+            retVal["message"] = f"✅ Single match found:\nChat ID: {m['id']}\nTitle: {m['title']}"
+            return retVal
+
+        result = f"⚠️ Multiple matches ({len(matches)}):\n\n"
+        for i, m in enumerate(matches[:5], 1):
+            result += f"{i}. {m['title']}\n   ID: {m['id']}\n"
+        retVal["status"] = "success"
+        retVal["message"] = result
+        return retVal
+
+    async def owui_list_models(self, __request__=None) -> dict:
+        """List all available models with IDs, tags, and capabilities."""
+        status, data = await self.owui_chat.api_request("GET", "/api/v1/models/", __request__)
+        retVal = {"status": "failure", "message": "", "models": []}
+        if status != 200:
+            retVal["message"] = f"❌ list_models FAILED\nHTTP {status}: {data}"
+            return retVal
+
+        models = (
+            data
+            if isinstance(data, list)
+            else data.get("items", []) if isinstance(data, dict) else []
+        )
+        if not models:
+            retVal = "❌ No models found"
+            return retVal
+
+        retVal["message"] = f"📋 Available Models ({len(models)} total, showing {self.valves.MAX_RESULTS}):\n\n"
+        for model in models[: self.valves.MAX_RESULTS]:
+            if not isinstance(model, dict):
+                continue
+
+            if not "name" in model or model.get("name") == "":
+                continue
+
+            retVal["models"].append(model)
+#            name = model.get("name", model.get("id", "Unknown"))
+#            model_id = model.get("id")
+#            meta = model.get("meta", {})
+#            tags = meta.get("tags", [])
+#            tag_str = (
+#                ", ".join(
+#                    t.get("name") if isinstance(t, dict) else t for t in tags if t
+#                )
+#                if tags
+#                else "none"
+#            )
+#
+#            capabilities = meta.get("capabilities", {})
+#            cap_str = (
+#                ", ".join(f"{k}={v}" for k, v in capabilities.items())
+#                if capabilities
+#                else "none"
+#            )
+#
+#            result += f"• {name}\n  ID: {model_id}\n  Tags: {tag_str}\n  Capabilities: {cap_str}\n\n"
+
+        if len(models) > self.valves.MAX_RESULTS:
+            retVal["message"] += f"... and {len(models) - self.valves.MAX_RESULTS} more\n"
+        return retVal 
+
+    async def get_models_by_tag(self, tag: str, __request__=None) -> str:
+        """Get models by tag name with full tag profiles."""
+        status, data = await self._api_request(
+            "GET", f"/api/v1/models/list?tag={tag}&page=1", __request__
+        )
+        if status != 200:
+            return f"❌ get_models_by_tag FAILED\nHTTP {status}: {data}"
+
+        items = (
+            data.get("items", [])
+            if isinstance(data, dict)
+            else data if isinstance(data, list) else []
+        )
+        total = data.get("total", len(items)) if isinstance(data, dict) else len(items)
+
+        if not items:
+            return f"❌ No models found with tag '{tag}'"
+
+        result = f"✅ Models with tag '{tag}' ({total} total):\n\n"
+        for model in items[: self.valves.MAX_RESULTS]:
+            if not isinstance(model, dict):
+                continue
+            name = model.get("name", model.get("id"))
+            model_id = model.get("id")
+            meta = model.get("meta", {})
+            all_tags = meta.get("tags", [])
+            tag_list = (
+                ", ".join(
+                    t.get("name", t)
+                    for t in all_tags
+                    if isinstance(t, dict) or isinstance(t, str)
+                )
+                if all_tags
+                else "none"
+            )
+
+            result += f"• {name} (`{model_id}`)\n  All tags: {tag_list}\n\n"
+
+        if len(items) > self.valves.MAX_RESULTS:
+            result += f"... and {len(items) - self.valves.MAX_RESULTS} more\n"
+        return result
+
+    async def get_model_by_name(self, name: str, __request__=None) -> str:
+        """Find model by partial name match."""
+        status, data = await self._api_request("GET", "/api/v1/models/", __request__)
+        if status != 200:
+            return f"❌ get_model_by_name FAILED\nHTTP {status}: {data}"
+
+        models = (
+            data
+            if isinstance(data, list)
+            else data.get("items", []) if isinstance(data, dict) else []
+        )
+        if not models:
+            return "❌ get_model_by_name FAILED\nNo models returned"
+
+        matches = []
+        for model in models:
+            if not isinstance(model, dict):
+                continue
+            model_name = model.get("name", model.get("id", ""))
+            if name.lower() in model_name.lower():
+                matches.append(model)
+
+        if not matches:
+            return f"❌ No models matching '{name}'"
+
+        if len(matches) == 1:
+            m = matches[0]
+            name = m.get("name", m.get("id"))
+            model_id = m.get("id")
+            meta = m.get("meta", {})
+            tags = meta.get("tags", [])
+            tag_str = (
+                ", ".join(
+                    t.get("name", t)
+                    for t in tags
+                    if isinstance(t, dict) or isinstance(t, str)
+                )
+                if tags
+                else "none"
+            )
+            return f"✅ Found: {name}\nID: {model_id}\nTags: {tag_str}"
+
+        result = f"⚠️ Multiple matches ({len(matches)}):\n\n"
+        for i, m in enumerate(matches[:5], 1):
+            result += f"{i}. {m.get('name')}\n   ID: {m.get('id')}\n\n"
+        return result
+
+    async def discover_model_relationships(
+        self,
+        relationship_prefix: str = "rel:works-with",
+        __request__=None,
+        __event_emitter__: Callable[[dict], Any] = None,
+    ) -> str:
+        """Discover models with relationship tags and dump their full tag profiles."""
+        if __event_emitter__:
+            await __event_emitter__(
+                {
+                    "type": "status",
+                    "data": {
+                        "description": "Scanning for relationships...",
+                        "done": False,
+                    },
+                }
+            )
+
+        status, data = await self._api_request("GET", "/api/v1/models/", __request__)
+        if status != 200:
+            return f"❌ Failed: HTTP {status}"
+
+        models = (
+            data
+            if isinstance(data, list)
+            else data.get("items", []) if isinstance(data, dict) else []
+        )
+
+        relationship_map = {}
+
+        for model in models:
+            if not isinstance(model, dict):
+                continue
+
+            model_id = model.get("id")
+            model_name = model.get("name", model_id)
+            meta = model.get("meta", {})
+            tags = meta.get("tags", [])
+
+            # Extract all relationship tags
+            for tag in tags:
+                tag_name = tag.get("name") if isinstance(tag, dict) else tag
+                if tag_name and tag_name.lower().startswith(
+                    relationship_prefix.lower()
+                ):
+                    target = tag_name[len(relationship_prefix) :].strip()
+                    relationship_map.setdefault(target, []).append(
+                        {
+                            "model_id": model_id,
+                            "model_name": model_name,
+                            "all_tags": [t.get("name", t) for t in tags if t],
+                            "capabilities": meta.get("capabilities", {}),
+                        }
+                    )
+
+        if __event_emitter__:
+            await __event_emitter__(
+                {
+                    "type": "status",
+                    "data": {
+                        "description": f"Found {len(relationship_map)} relationship(s)",
+                        "done": True,
+                    },
+                }
+            )
+
+        if not relationship_map:
+            return f"❌ No '{relationship_prefix}' relationships found"
+
+        result = f"🔍 Relationship Dump: '{relationship_prefix}'\n{'='*60}\n\n"
+        for target, sources in sorted(relationship_map.items()):
+            result += f"📌 Target: **{target}** ({len(sources)} source(s))\n"
+            for src in sources:
+                result += f"   • {src['model_name']} (`{src['model_id']}`)\n"
+                result += f"     Tags: {', '.join(src['all_tags']) or 'none'}\n"
+                result += f"     Caps: {', '.join(f'{k}:{v}' for k,v in src['capabilities'].items()) or 'none'}\n"
+            result += "\n"
+
+        return result
+
+    async def add_capability_tag(
+        self,
+        model_id: str,
+        capability: str,
+        __request__=None,
+        __event_emitter__: Callable[[dict], Any] = None,
+    ) -> dict:
+        """Add a capability tag (cap:) to a model."""
+        if __event_emitter__:
+            await __event_emitter__(
+                {
+                    "type": "status",
+                    "data": {
+                        "description": f"Adding capability tag to {model_id}...",
+                        "done": False,
+                    },
+                }
+            )
+
+        # Get current model data
+        status, model_data = await self._api_request(
+            "GET", f"/api/v1/models/model?id={model_id}", __request__
+        )
+        if status != 200:
+            return f"❌ Could not get model: {model_data}"
+
+        meta = model_data.get("meta", {})
+        tags = meta.get("tags", [])
+
+        # Add new capability tag
+        new_tag = f"{self.valves.TAG_PREFIX_CAPABILITY}{capability}"
+        if new_tag not in [t.get("name", t) for t in tags]:
+            tags.append({"name": new_tag})
+
+        # Update model
+        update_payload = {"id": model_id, "meta": {**meta, "tags": tags}}
+
+        status, response = await self._api_request(
+            "POST", "/api/v1/models/model/update", __request__, json_data=update_payload
+        )
+
+        if __event_emitter__:
+            await __event_emitter__(
+                {
+                    "type": "status",
+                    "data": {"description": "Tag added successfully", "done": True},
+                }
+            )
+
+        if status == 200:
+            return f"✅ Added capability tag '{new_tag}' to {model_id}"
+        return f"❌ Failed to update model: {response}"
+
+    async def add_relationship_tag(
+        self,
+        model_id: str,
+        relationship: str,
+        target_model: str,
+        __request__=None,
+        __event_emitter__: Callable[[dict], Any] = None,
+    ) -> str:
+        """Add a relationship tag (rel:) to a model."""
+        if __event_emitter__:
+            await __event_emitter__(
+                {
+                    "type": "status",
+                    "data": {
+                        "description": f"Adding relationship tag to {model_id}...",
+                        "done": False,
+                    },
+                }
+            )
+
+        # Get current model data
+        status, model_data = await self._api_request(
+            "GET", f"/api/v1/models/model?id={model_id}", __request__
+        )
+        if status != 200:
+            return f"❌ Could not get model: {model_data}"
+
+        meta = model_data.get("meta", {})
+        tags = meta.get("tags", [])
+
+        # Add new relationship tag
+        new_tag = f"{self.valves.TAG_PREFIX_RELATIONSHIP}{relationship}:{target_model}"
+        if new_tag not in [t.get("name", t) for t in tags]:
+            tags.append({"name": new_tag})
+
+        # Update model
+        update_payload = {"id": model_id, "meta": {**meta, "tags": tags}}
+
+        status, response = await self._api_request(
+            "POST", "/api/v1/models/model/update", __request__, json_data=update_payload
+        )
+
+        if __event_emitter__:
+            await __event_emitter__(
+                {
+                    "type": "status",
+                    "data": {"description": "Relationship tag added", "done": True},
+                }
+            )
+
+        if status == 200:
+            return f"✅ Added relationship tag '{new_tag}' to {model_id}"
+        return f"❌ Failed to update model: {response}"
+
+    async def dump_tag_taxonomy(self, __request__=None) -> str:
+        """Dump complete tag taxonomy showing cap: and rel: distributions."""
+        status, data = await self._api_request("GET", "/api/v1/models/", __request__)
+        if status != 200:
+            return f"❌ Failed: HTTP {status}"
+
+        models = (
+            data
+            if isinstance(data, list)
+            else data.get("items", []) if isinstance(data, dict) else []
+        )
+
+        capability_tags = {}
+        relationship_tags = {}
+        all_capabilities = {}
+
+        for model in models:
+            if not isinstance(model, dict):
+                continue
+
+            model_id = model.get("id")
+            model_name = model.get("name", model_id)
+            meta = model.get("meta", {})
+            tags = meta.get("tags", [])
+            capabilities = meta.get("capabilities", {})
+
+            # Aggregate capabilities
+            for cap, val in capabilities.items():
+                all_capabilities.setdefault(cap, []).append(f"{model_name}={val}")
+
+            # Categorize tags
+            for tag in tags:
+                tag_name = tag.get("name") if isinstance(tag, dict) else tag
+                if not tag_name:
+                    continue
+
+                if tag_name.startswith(self.valves.TAG_PREFIX_CAPABILITY):
+                    capability_tags.setdefault(tag_name, []).append(model_name)
+                elif tag_name.startswith(self.valves.TAG_PREFIX_RELATIONSHIP):
+                    relationship_tags.setdefault(tag_name, []).append(model_name)
+
+        result = "📊 Tag Taxonomy Dump\n" + "=" * 60 + "\n\n"
+
+        if capability_tags:
+            result += "🎯 CAPABILITY TAGS:\n"
+            for cap, models in sorted(capability_tags.items()):
+                result += f"  {cap}: {len(models)} model(s)\n"
+                for m in models[:3]:
+                    result += f"    • {m}\n"
+                if len(models) > 3:
+                    result += f"    ... and {len(models)-3} more\n"
+            result += "\n"
+
+        if relationship_tags:
+            result += "🔗 RELATIONSHIP TAGS:\n"
+            for rel, models in sorted(relationship_tags.items()):
+                result += f"  {rel}: {len(models)} model(s)\n"
+                for m in models[:3]:
+                    result += f"    • {m}\n"
+                if len(models) > 3:
+                    result += f"    ... and {len(models)-3} more\n"
+            result += "\n"
+
+        if all_capabilities:
+            result += "🧠 CAPABILITIES:\n"
+            for cap, instances in sorted(all_capabilities.items()):
+                result += f"  {cap}: {len(instances)} value(s)\n"
+                for inst in instances[:3]:
+                    result += f"    • {inst}\n"
+                if len(instances) > 3:
+                    result += f"    ... and {len(instances)-3} more\n"
+
+        return result or "❌ No tags found"
+
+    async def chat_with_model(
+        self,
+        chat_id: str,
+        model_identifier: Optional[str],
+        message: str,
+        __request__=None,
+        __event_emitter__: Callable[[dict], Any] = None,
+    ) -> str:
+        """🚀 PRIMARY TOOL: Robust multi-turn chat with proper message threading."""
+
+        if __event_emitter__:
+            await __event_emitter__(
+                {
+                    "type": "status",
+                    "data": {"description": "Resolving model...", "done": False},
+                }
+            )
+
+        # NEW CHAT: model_identifier is REQUIRED
+        if chat_id == "new":
+            if not model_identifier:
+                return "❌ chat_with_model FAILED: model_identifier required when creating new chat"
+
+            # Resolve model_identifier to actual model_id
+            target_model = None
+            model_name = model_identifier
+
+            # Try tag first (if no slash in identifier)
+            if "/" not in model_identifier:
+                status, tag_data = await self._api_request(
+                    "GET",
+                    f"/api/v1/models/list?tag={model_identifier}&page=1",
+                    __request__,
+                )
+                if status == 200:
+                    items = (
+                        tag_data.get("items", [])
+                        if isinstance(tag_data, dict)
+                        else tag_data
+                    )
+                    if items and isinstance(items, list) and len(items) > 0:
+                        target_model = items[0].get("id")
+                        model_name = items[0].get("name", target_model)
+
+            # Fallback to direct model ID
+            if not target_model:
+                target_model = model_identifier
+
+            # Get friendly name
+            status, model_info = await self._api_request(
+                "GET", f"/api/v1/models/{model_identifier}", __request__
+            )
+            if status == 200 and isinstance(model_info, dict):
+                model_name = model_info.get("name", model_identifier)
+            else:
+                model_name = model_identifier.replace("-", " ").title()
+
+            if not target_model:
+                return "❌ chat_with_model FAILED: Could not resolve target model"
+
+            # Create new chat
+            if __event_emitter__:
+                await __event_emitter__(
+                    {
+                        "type": "status",
+                        "data": {"description": "Creating chat...", "done": False},
+                    }
+                )
+
+            payload = {
+                "chat": {
+                    "title": f"Orchestrated: {model_name}",
+                    "models": [target_model],
+                    "params": {},
+                    "history": {"messages": {}, "currentId": None},
+                    "messages": [],
+                    "tags": ["orchestrated"],
+                    "files": [],
+                }
+            }
+
+            status, chat_data = await self._api_request(
+                "POST", "/api/v1/chats/new", __request__, json_data=payload
+            )
+            if status != 200:
+                return f"❌ chat_with_model FAILED\nCould not create chat: {chat_data}"
+
+            chat_id = chat_data.get("id")
+            if not chat_id:
+                return "❌ chat_with_model FAILED: No chat ID returned"
+
+        # EXISTING CHAT: model_identifier is OPTIONAL
+        else:
+            # Verify chat exists
+            status, chat_data = await self._api_request(
+                "GET", f"/api/v1/chats/{chat_id}", __request__
+            )
+            if status != 200:
+                return f"❌ chat_with_model FAILED\nCould not get chat: {chat_data}"
+
+            chat_obj = chat_data.get("chat", {})
+            existing_models = chat_obj.get("models", [])
+
+            if model_identifier:
+                # Use provided model
+                target_model = model_identifier
+                model_name = model_identifier.replace("-", " ").title()
+            elif existing_models and len(existing_models) > 0:
+                # Auto-detect from chat
+                target_model = existing_models[0]
+                status, model_info = await self._api_request(
+                    "GET", f"/api/v1/models/{target_model}", __request__
+                )
+                if status == 200 and isinstance(model_info, dict):
+                    model_name = model_info.get("name", target_model)
+                else:
+                    model_name = target_model.replace("-", " ").title()
+            else:
+                return "❌ chat_with_model FAILED: No model found and no model_identifier provided"
+
+        if __event_emitter__:
+            await __event_emitter__(
+                {
+                    "type": "status",
+                    "data": {
+                        "description": f"Chatting with {model_name}...",
+                        "done": False,
+                    },
+                }
+            )
+
+        # Build conversation history WITH PROPER THREADING
+        status, chat_data = await self._api_request(
+            "GET", f"/api/v1/chats/{chat_id}", __request__
+        )
+        if status != 200:
+            return f"❌ Could not retrieve chat history: {chat_data}"
+
+        chat_obj = chat_data.get("chat", {})
+        existing_messages = chat_obj.get("messages", [])
+
+        completion_messages = []
+        for msg in existing_messages:
+            if msg.get("role") in ["user", "assistant"]:
+                completion_messages.append(
+                    {"role": msg["role"], "content": msg["content"]}
+                )
+
+        # 🔑 KEY ENHANCEMENT: Enhanced chat_id injection for multi-turn awareness
+        enhanced_message = f"{message}\n\n[System: This is part of chat {chat_id}. You may respond here.]"
+        completion_messages.append({"role": "user", "content": enhanced_message})
+
+        # Send to target model
+        status, completion_data = await self._api_request(
+            "POST",
+            "/api/v1/chat/completions",
+            __request__,
+            json_data={
+                "model": target_model,
+                "stream": False,
+                "messages": completion_messages,
+                "chat_id": chat_id,
+            },
+        )
+
+        if status != 200:
+            return f"❌ chat_with_model FAILED\nCompletion error: {completion_data}"
+
+        try:
+            response_text = completion_data["choices"][0]["message"]["content"]
+        except (KeyError, IndexError, TypeError) as e:
+            return f"❌ Parse error: {e}"
+
+        # Persist with proper message threading
+        updated_chat = self._build_message_structure(
+            existing_messages, enhanced_message, response_text, target_model, model_name
+        )
+        updated_chat["title"] = chat_obj.get("title", f"Chat with {model_name}")
+
+        status, _ = await self._api_request(
+            "POST",
+            f"/api/v1/chats/{chat_id}",
+            __request__,
+            json_data={"chat": updated_chat},
+        )
+
+        if __event_emitter__:
+            await __event_emitter__(
+                {
+                    "type": "status",
+                    "data": {"description": "✅ Response persisted", "done": True},
+                }
+            )
+
+        return f"""✅ chat_with_model SUCCESS
+═══════════════════════════════════════════════════════════
+Model: {model_name} ({target_model})
+Chat ID: {chat_id}
+═══════════════════════════════════════════════════════════
+Your message: {message}
+═══════════════════════════════════════════════════════════
+Response (persisted): {response_text}
+═══════════════════════════════════════════════════════════
+✅ This multi-turn response is now in chat history
+"""
+
+    def _build_message_structure(
+        self,
+        existing_messages: List[Dict],
+        user_content: str,
+        assistant_content: str,
+        model: str,
+        model_name: str = None,
+    ) -> Dict:
+        """Build chat structure with proper message linking for multi-turn."""
+        if not model_name:
+            model_name = model.replace("-", " ").title()
+
+        timestamp = int(time.time())
+        user_uuid = str(uuid.uuid4())
+        asst_uuid = str(uuid.uuid4())
+
+        # Find last message ID for proper threading
+        last_msg_id = existing_messages[-1].get("id") if existing_messages else None
+
+        # Build user message
+        user_msg = {
+            "id": user_uuid,
+            "parentId": last_msg_id,
+            "childrenIds": [asst_uuid],
+            "role": "user",
+            "content": user_content,
+            "timestamp": timestamp,
+            "models": [model],
+        }
+
+        # Build assistant message
+        asst_msg = {
+            "id": asst_uuid,
+            "parentId": user_uuid,
+            "childrenIds": [],
+            "role": "assistant",
+            "content": assistant_content,
+            "model": model,
+            "modelName": model_name,
+            "modelIdx": 0,
+            "timestamp": timestamp,
+            "done": True,
+        }
+
+        # Update parent's children if exists
+        if last_msg_id:
+            for msg in existing_messages:
+                if msg.get("id") == last_msg_id:
+                    if "childrenIds" not in msg:
+                        msg["childrenIds"] = []
+                    msg["childrenIds"].append(user_uuid)
+                    break
+
+        all_messages = existing_messages + [user_msg, asst_msg]
+        history_messages = {msg["id"]: msg for msg in all_messages}
+
+        return {
+            "models": [model],
+            "params": {},
+            "history": {"messages": history_messages, "currentId": asst_uuid},
+            "messages": all_messages,
+            "tags": ["orchestrated"],
+            "files": [],
+        }
+

venice/image.py

@@ -15,12 +15,11 @@ description: |
     and attach images to chat via event emitter for inline display.
 
     Re-entrant safe: Multiple concurrent calls accumulate images correctly.
-
-    v1.7.0: Added VeniceImage namespace class for helper functions to avoid
-    method collisions with Open WebUI framework introspection.
-    v1.6.0: Added UserValves for SAFE_MODE and HIDE_WATERMARK with proper
-    admin/user override logic.
 changelog:
+  1.7.1:
+    - changed return type from string to dictionary, mirroring the default tools behavior
+    - fixed issues with user valve overrides - Watermake and Safe Mode
+    - status message will display either [SFW] or [NSFW] depending on flag not content
   1.7.0:
     - Added VeniceImage namespace class for helper functions
     - Moved get_api_key, parse_venice_image_response to VeniceImage namespace
@@ -42,7 +41,7 @@ import httpx
 class VeniceImage:
     """
     Namespaced helpers for Venice image operations.
-    
+
     Using a separate class prevents Open WebUI framework introspection
     from colliding with tool methods that have generic names like _get_api_key.
     """
@@ -96,7 +95,7 @@ class Tools:
 
     class UserValves(BaseModel):
         VENICE_API_KEY: str = Field(default="", description="Your Venice.ai API key (overrides admin)")
-        SAFE_MODE: bool = Field(default=False, description="Enable SFW content filtering")
+        SAFE_MODE: bool = Field(default=True, description="Enable SFW content filtering")
         HIDE_WATERMARK: bool = Field(default=False, description="Hide Venice.ai watermark")
         DEFAULT_MODEL: str = Field(default="", description="Your preferred image model")
         DEFAULT_NEGATIVE_PROMPT: str = Field(default="", description="Default negative prompt")
@@ -111,11 +110,21 @@ class Tools:
         self._lock_init = threading.Lock()
         self._last_cleanup: float = 0.0
 
-    def _is_safe_mode_enabled(self) -> bool:
+    def _is_safe_mode_enabled(self, __user__: dict = None) -> bool:
-        return self.valves.SAFE_MODE or self.user_valves.SAFE_MODE
+        user_safe_mode = self.user_valves.SAFE_MODE
 
-    def _is_watermark_hidden(self) -> bool:
+        if __user__ and "valves" in __user__:
-        return self.valves.HIDE_WATERMARK or self.user_valves.HIDE_WATERMARK
+            user_safe_mode = __user__["valves"].SAFE_MODE
+
+        return self.valves.SAFE_MODE or user_safe_mode
+
+    def _is_watermark_hidden(self, __user__: dict = None) -> bool:
+        user_hide_watermark = self.user_valves.HIDE_WATERMARK
+
+        if __user__ and "valves" in __user__:
+            user_hide_watermark = __user__["valves"].HIDE_WATERMARK
+
+        return self.valves.HIDE_WATERMARK or user_hide_watermark
 
     def _get_default_model(self) -> str:
         return self.user_valves.DEFAULT_MODEL or self.valves.DEFAULT_MODEL
@@ -152,20 +161,29 @@ class Tools:
 
     async def _accumulate_files(self, key: str, new_files: List[dict], __event_emitter__: Callable[[dict], Any] = None):
         all_files = []
+
         async with self._get_lock():
             if key not in self._message_files:
                 self._message_files[key] = {"files": [], "timestamp": time.time()}
+
             for f in new_files:
                 self._message_files[key]["files"].append(dict(f))
+
             self._message_files[key]["timestamp"] = time.time()
+
             all_files = list(self._message_files[key]["files"])
+
             now = time.time()
+
             if now - self._last_cleanup > 60:
                 self._last_cleanup = now
                 ttl = self.valves.ACCUMULATOR_TTL
+
                 expired = [k for k, v in self._message_files.items() if now - v.get("timestamp", 0) > ttl]
+
                 for k in expired:
                     del self._message_files[k]
+
         if all_files and __event_emitter__:
             await __event_emitter__({"type": "files", "data": {"files": all_files}})
 
@@ -290,38 +308,73 @@ class Tools:
         except Exception as e:
             return None, f"Fetch error: {type(e).__name__}: {e}"
 
-    async def generate_image(self, prompt: str, model: Optional[str] = None, width: int = 1024, height: int = 1024, negative_prompt: Optional[str] = None, style_preset: Optional[str] = None, variants: int = 1, __request__=None, __user__: dict = None, __metadata__: dict = None, __event_emitter__: Callable[[dict], Any] = None) -> str:
+    async def generate_image(
+        self,
+        prompt: str,
+        model: Optional[str] = None,
+        width: int = 1024,
+        height: int = 1024,
+        negative_prompt: Optional[str] = None,
+        style_preset: Optional[str] = None,
+        variants: int = 1,
+        __request__=None,
+        __user__: dict = None,
+        __metadata__: dict = None,
+        __event_emitter__: Callable[[dict], Any] = None
+    ) -> dict:
+        retVal = {
+            "status": "failed",
+            "message": "",
+            "settings": {},
+            "images": [],
+        }
         venice_key = VeniceImage.get_api_key(self.valves, self.user_valves, __user__)
+
         if not venice_key:
-            return "Generate Image\nStatus: 0\nError: Venice.ai API key not configured."
+            retVal["message"] = "Error: Venice.ai API key not configured",
+            return retVal
+
         if not prompt or not prompt.strip():
-            return "Generate Image\nStatus: 0\nError: Prompt is required"
+            retVal["message"] = "Error: Prompt is required",
+            return retVal
+
         msg_key = self._get_message_key(__metadata__)
         user_id = __user__.get("id", "default") if __user__ else "default"
         cooldown = self.valves.COOLDOWN_SECONDS
+
         if cooldown > 0:
             now = time.time()
             last_gen = self._cooldowns.get(user_id, 0)
             is_reentrant = self._get_accumulated_count(msg_key) > 0
+
             if not is_reentrant and now - last_gen < cooldown:
                 remaining = cooldown - (now - last_gen)
-                return f"Generate Image\nStatus: 429\nError: Rate limited. Wait {remaining:.1f}s."
+                retVal["message"] = "Error: Rate limited. Wait {remaining:.1f}s.",
+                return retVal
+
             self._cooldowns[user_id] = now
+
         model = model or self._get_default_model()
-        safe_mode = self._is_safe_mode_enabled()
+        safe_mode = self._is_safe_mode_enabled(__user__)
-        hide_watermark = self._is_watermark_hidden()
+        hide_watermark = self._is_watermark_hidden(__user__)
         effective_negative_prompt = negative_prompt or self._get_default_negative_prompt()
         variants = max(1, min(4, variants))
         width = max(512, min(1280, width))
         height = max(512, min(1280, height))
         existing_count = self._get_accumulated_count(msg_key)
+
         if __event_emitter__:
             status_msg = f"Generating {variants} image{'s' if variants > 1 else ''} with {model}"
             if existing_count > 0:
                 status_msg += f" (adding to {existing_count} existing)"
+
             if safe_mode:
                 status_msg += " [SFW]"
+            else:
+                status_msg += " [NSFW]"
+
             await __event_emitter__({"type": "status", "data": {"description": f"{status_msg}...", "done": False}})
+
         payload = {"model": model, "prompt": prompt, "width": width, "height": height, "safe_mode": safe_mode, "hide_watermark": hide_watermark, "return_binary": False, "variants": variants}
         if effective_negative_prompt:
             payload["negative_prompt"] = effective_negative_prompt
@@ -329,6 +382,7 @@ class Tools:
             payload["style_preset"] = style_preset
         retried = False
         dropped_params = []
+
         try:
             async with httpx.AsyncClient(timeout=float(self.valves.GENERATION_TIMEOUT)) as client:
                 response = await client.post("https://api.venice.ai/api/v1/image/generate", headers={"Authorization": f"Bearer {venice_key}", "Content-Type": "application/json"}, json=payload)
@@ -349,65 +403,86 @@ class Tools:
         except httpx.HTTPStatusError as e:
             if __event_emitter__:
                 await __event_emitter__({"type": "status", "data": {"done": True}})
-            return f"Generate Image\nStatus: {e.response.status_code}\nError: {e.response.text[:200]}"
+
+            retVal["message"] = f"Status: {e.response.status_code} Error: {e.response.text[:200]}",
+            return retVal["message"]
         except httpx.TimeoutException:
             if __event_emitter__:
                 await __event_emitter__({"type": "status", "data": {"done": True}})
-            return f"Generate Image\nStatus: 408\nError: Timed out after {self.valves.GENERATION_TIMEOUT}s"
+
+            retVal["message"] = f"Status: 408\nError: Timed out after {self.valves.GENERATION_TIMEOUT}s",
+            return retVal
         except Exception as e:
             if __event_emitter__:
                 await __event_emitter__({"type": "status", "data": {"done": True}})
-            return f"Generate Image\nStatus: 0\nError: {type(e).__name__}: {e}"
+
+            retVal["message"] = f"Status:  0\nError: {type(e).__name__}: {e}",
+            return retVal
+
         images = result.get("images", [])
+
         if not images:
             if __event_emitter__:
                 await __event_emitter__({"type": "status", "data": {"done": True}})
-            return "Generate Image\nStatus: 0\nError: No images returned"
+
+            retVal["message"] = f"Status:  0\nError: No images returned",
+            return retVal
+
         if __event_emitter__:
             await __event_emitter__({"type": "status", "data": {"description": f"Uploading {len(images)} images...", "done": False}})
+
         chat_id = __metadata__.get("chat_id") if __metadata__ else None
         message_id = __metadata__.get("message_id") if __metadata__ else None
         uploaded_files = []
         errors = []
+
         for i, image_b64 in enumerate(images):
             timestamp = int(time.time() * 1000)
             filename = f"venice_{model}_{timestamp}_{i+1}.webp"
             file_metadata = {"name": filename, "content_type": "image/webp", "data": {"model": model, "prompt": prompt, "negative_prompt": effective_negative_prompt, "style_preset": style_preset, "width": width, "height": height, "variant": i+1, "total_variants": len(images), "safe_mode": safe_mode, "hide_watermark": hide_watermark}}
+
             if chat_id:
                 file_metadata["chat_id"] = chat_id
+
             if message_id:
                 file_metadata["message_id"] = message_id
+
             file_id, error = await self._upload_image(image_b64, filename, file_metadata, "image/webp", __request__)
+
             if file_id:
                 uploaded_files.append({"type": "image", "url": f"/api/v1/files/{file_id}/content"})
             else:
                 errors.append(f"Variant {i+1}: {error}")
+
         if uploaded_files:
             await self._accumulate_files(msg_key, uploaded_files, __event_emitter__)
+
         final_count = self._get_accumulated_count(msg_key)
+
         if __event_emitter__:
             await __event_emitter__({"type": "status", "data": {"description": f"Done ({final_count} images total)", "done": True}})
-        parts = ["Generate Image", "Status: 200", "", f"Generated {len(uploaded_files)} image(s) for: {prompt[:100]}{'...' if len(prompt) > 100 else ''}", f"Model: {model} | Size: {width}x{height}"]
+
-        settings_parts = []
+        retVal["status"] = "success"
+        retVal["message"] = "The image has been successfully generated and is already visible to the user in the chat. You do not need to display or embed the image again - just acknowledge that it has been created.",
+
         if safe_mode:
-            settings_parts.append("SFW")
+            retVal["settings"]["safe_mode"]: "SFW"
+        else:
+            retVal["settings"]["safe_mode"]: "NSFW"
+
         if hide_watermark:
-            settings_parts.append("No watermark")
+            retVal["settings"]["hide_watermark"]: "hide_watermark"
-        if settings_parts:
+
-            parts.append(f"Settings: {', '.join(settings_parts)}")
         if uploaded_files:
-            parts.append("", "Files:")
+            retVal["images"] = uploaded_files
-            for i, f in enumerate(uploaded_files):
+
-                parts.append(f"  [{i+1}] {f['url']}")
         if dropped_params:
-            parts.append(f"Note: {model} doesn't support: {', '.join(dropped_params)} (ignored)")
+            retVal["note"] = f" {model} doesn't support: {', '.join(dropped_params)} (ignored)"
-        if final_count > len(uploaded_files):
+
-            parts.append(f"Total images in message: {final_count}")
         if errors:
-            parts.append("", "Warnings:")
+            retVal["warnings"] = errors
-            for e in errors:
+
-                parts.append(f"  - {e}")
+        return retVal
-        return "\n".join(parts)
 
     async def upscale_image(self, image: str, scale: int = 2, enhance: bool = False, enhance_creativity: float = 0.5, enhance_prompt: Optional[str] = None, __request__=None, __user__: dict = None, __metadata__: dict = None, __files__: list = None, __event_emitter__: Callable[[dict], Any] = None) -> str:
         venice_key = VeniceImage.get_api_key(self.valves, self.user_valves, __user__)