fc9f1ccb43
- Core: Adapt to OpenWebUI native tool call UI and thinking process visualization - Infra: Bundle Copilot CLI via pip package (no more background curl installation) - Fix: Resolve "Error getting file content" on OpenWebUI v0.8.0+ via absolute paths - i18n: Add native localization for status messages in 11 languages - UX: Optimize reasoning status display logic and cleanup legacy code
3927 lines
163 KiB
Python
3927 lines
163 KiB
Python
"""
|
||
title: GitHub Copilot Official SDK Pipe
|
||
author: Fu-Jie
|
||
author_url: https://github.com/Fu-Jie/openwebui-extensions
|
||
funding_url: https://github.com/open-webui
|
||
openwebui_id: ce96f7b4-12fc-4ac3-9a01-875713e69359
|
||
description: Integrate GitHub Copilot SDK. Supports dynamic models, multi-turn conversation, streaming, multimodal input, infinite sessions, and frontend debug logging.
|
||
version: 0.7.0
|
||
requirements: github-copilot-sdk==0.1.25
|
||
"""
|
||
|
||
import os
|
||
import re
|
||
import json
|
||
import base64
|
||
import tempfile
|
||
import asyncio
|
||
import logging
|
||
import shutil
|
||
import subprocess
|
||
import hashlib
|
||
import aiohttp
|
||
import contextlib
|
||
import traceback
|
||
from pathlib import Path
|
||
from typing import Optional, Union, AsyncGenerator, List, Any, Dict, Literal, Tuple
|
||
from types import SimpleNamespace
|
||
from pydantic import BaseModel, Field, create_model
|
||
|
||
# Database imports
|
||
from sqlalchemy import Column, String, Text, DateTime, Integer, JSON, inspect
|
||
from sqlalchemy.orm import declarative_base, sessionmaker
|
||
from sqlalchemy.engine import Engine
|
||
from datetime import datetime, timezone
|
||
|
||
# Import copilot SDK modules
|
||
from copilot import CopilotClient, define_tool
|
||
|
||
# Import Tool Server Connections and Tool System from OpenWebUI Config
|
||
from open_webui.config import (
|
||
PERSISTENT_CONFIG_REGISTRY,
|
||
TOOL_SERVER_CONNECTIONS,
|
||
)
|
||
from open_webui.utils.tools import get_tools as get_openwebui_tools, get_builtin_tools
|
||
from open_webui.models.tools import Tools
|
||
from open_webui.models.users import Users
|
||
from open_webui.models.files import Files, FileForm
|
||
from open_webui.config import UPLOAD_DIR, DATA_DIR
|
||
import mimetypes
|
||
import uuid
|
||
import shutil
|
||
|
||
# Open WebUI internal database (re-use shared connection)
|
||
try:
|
||
from open_webui.internal import db as owui_db
|
||
except ImportError:
|
||
owui_db = None
|
||
|
||
# Setup logger
|
||
logger = logging.getLogger(__name__)
|
||
|
||
|
||
def _discover_owui_engine(db_module: Any) -> Optional[Engine]:
|
||
"""Discover the Open WebUI SQLAlchemy engine via provided db module helpers."""
|
||
if db_module is None:
|
||
return None
|
||
|
||
db_context = getattr(db_module, "get_db_context", None) or getattr(
|
||
db_module, "get_db", None
|
||
)
|
||
if callable(db_context):
|
||
try:
|
||
with db_context() as session:
|
||
try:
|
||
return session.get_bind()
|
||
except AttributeError:
|
||
return getattr(session, "bind", None) or getattr(
|
||
session, "engine", None
|
||
)
|
||
except Exception as exc:
|
||
logger.error(f"[DB Discover] get_db_context failed: {exc}")
|
||
|
||
for attr in ("engine", "ENGINE", "bind", "BIND"):
|
||
candidate = getattr(db_module, attr, None)
|
||
if candidate is not None:
|
||
return candidate
|
||
|
||
return None
|
||
|
||
|
||
owui_engine = _discover_owui_engine(owui_db)
|
||
owui_Base = (
|
||
getattr(owui_db, "Base", None) if owui_db is not None else declarative_base()
|
||
)
|
||
|
||
|
||
class ChatTodo(owui_Base):
|
||
"""Chat Todo Storage Table"""
|
||
|
||
__tablename__ = "chat_todos"
|
||
__table_args__ = {"extend_existing": True}
|
||
|
||
id = Column(Integer, primary_key=True, autoincrement=True)
|
||
chat_id = Column(String(255), unique=True, nullable=False, index=True)
|
||
content = Column(Text, nullable=False)
|
||
metrics = Column(JSON, nullable=True) # {"total": 39, "completed": 0, "percent": 0}
|
||
updated_at = Column(
|
||
DateTime,
|
||
default=lambda: datetime.now(timezone.utc),
|
||
onupdate=lambda: datetime.now(timezone.utc),
|
||
)
|
||
|
||
|
||
# Base guidelines for all users
|
||
BASE_GUIDELINES = (
|
||
"\n\n[Environment & Capabilities Context]\n"
|
||
"You are an AI assistant operating within a high-capability Linux container environment (OpenWebUI).\n"
|
||
"\n"
|
||
"**System Environment & User Privileges:**\n"
|
||
"- **Output Environment**: You are rendering in the **OpenWebUI Chat Page**, a modern, interactive web interface. Optimize your output format to leverage Markdown for the best UI experience.\n"
|
||
"- **Root Access**: You are running as **root**. You have **READ access to the entire container file system** but you **MUST ONLY WRITE** to your designated persistent workspace directory (structured as `.../user_id/chat_id/`). All other system areas are strictly READ-ONLY.\n"
|
||
"- **STRICT FILE CREATION RULE**: You are **PROHIBITED** from creating or editing files outside of your specific workspace path. Never place files in `/root`, `/tmp`, or `/app` (unless specifically instructed for analysis, but writing is banned). Every file operation (`create`, `edit`, `bash`) MUST use the absolute path provided in your `Session Context` below.\n"
|
||
"- **Filesystem Layout (/app)**:\n"
|
||
" - `/app/backend`: Python backend source code. You can analyze core package logic here.\n"
|
||
" - `/app/build`: Compiled frontend assets (assets, static, pyodide, index.html).\n"
|
||
"- **Rich Python Environment**: You can natively import and use any installed OpenWebUI dependencies. You have access to a wealth of libraries (e.g., for data processing, utility functions). However, you **MUST NOT** install new packages in the global environment. If you need additional dependencies, you must create a virtual environment within your designated workspace directory.\n"
|
||
"- **Tool Availability**: You may have access to various tools (OpenWebUI Built-ins, Custom Tools, OpenAPI Servers, or MCP Servers) depending on the user's current configuration. If tools are visible in your session metadata, use them proactively to enhance your task execution.\n"
|
||
"\n"
|
||
"**Formatting & Presentation Directives:**\n"
|
||
"1. **Markdown Excellence**: Leverage full **Markdown** capabilities (headers, bold, italics, tables, lists) to structure your response professionally for the chat interface.\n"
|
||
"2. **Advanced Visualization**: Use **Mermaid** for flowcharts/diagrams and **LaTeX** for math. **IMPORTANT**: Always wrap Mermaid code within a standard ` ```mermaid ` code block to ensure it is rendered correctly by the UI.\n"
|
||
"3. **Interactive Artifacts (HTML)**: Standalone HTML code blocks (HTML+CSS+JS) will be **AUTOMATICALLY RENDERED** as interactive web pages within the chat. **Dual Delivery Protocol**: For web applications, you MUST perform two actions:\n"
|
||
" - 1. **Persist**: Create the file in the workspace (e.g., `index.html`) for project structure.\n"
|
||
" - 2. **Render**: Immediately output the SAME code in a ` ```html ` block so the user can interact with it.\n"
|
||
" - **Result**: The user gets both a saved file AND a live app. Never force the user to choose one over the other.\n"
|
||
"4. **Images & Files**: ALWAYS embed generated images/files directly using ``. Never provide plain text links.\n"
|
||
"5. **File Delivery Protocol (Dual-Channel Delivery)**:\n"
|
||
" - **Philosophy**: Visual Artifacts (HTML/Mermaid) and Downloadable Files are **COMPLEMENTARY**. Always aim to provide BOTH: instant visual insight in the chat AND a persistent file for the user to keep.\n"
|
||
" - **The Rule**: When the user needs to *possess* data (download/export), you MUST publish it. Creating a local file alone is useless because the user cannot access your container.\n"
|
||
" - **Implicit Requests**: If asked to 'export', 'get link', or 'save', automatically trigger this sequence.\n"
|
||
" - **Execution Sequence**: 1. **Write Local**: Create file in `.` (current directory). 2. **Publish**: Call `publish_file_from_workspace(filename='your_file.ext')`. 3. **Link**: Present the `download_url` as a Markdown link.\n"
|
||
" - **Bypass RAG**: This protocol automatically handles S3 storage and bypasses RAG, ensuring 100% accurate data delivery.\n"
|
||
"6. **TODO Visibility**: Every time you call the `update_todo` tool, you **MUST** immediately follow up with a beautifully formatted **Markdown summary** of the current TODO list. Use task checkboxes (`- [ ]`), progress indicators, and clear headings so the user can see the status directly in the chat.\n"
|
||
"7. **Python Execution Standard**: For ANY task requiring Python logic (not just data analysis), you **MUST NOT** embed multi-line code directly in a shell command (e.g., using `python -c` or `<< 'EOF'`).\n"
|
||
' - **Exception**: Trivial one-liners (e.g., `python -c "print(1+1)"`) are permitted.\n'
|
||
" - **Protocol**: For everything else, you MUST:\n"
|
||
" 1. **Create** a `.py` file in the workspace (e.g., `script.py`).\n"
|
||
" 2. **Run** it using `python3 script.py`.\n"
|
||
" - **Reason**: This ensures code is debuggable, readable, and persistent.\n"
|
||
"8. **Active & Autonomous**: You are an expert engineer. **DO NOT** ask for permission to proceed with obvious steps. **DO NOT** stop to ask 'Shall I continue?'.\n"
|
||
" - **Behavior**: Analyze the user's request -> Formulate a plan -> **EXECUTE** the plan immediately.\n"
|
||
" - **Clarification**: Only ask questions if the request is ambiguous or carries high risk (e.g., destructive actions).\n"
|
||
" - **Goal**: Minimize user friction. Deliver results, not questions.\n"
|
||
"9. **Large Output Management**: If a tool execution output is truncated or saved to a temporary file (e.g., `/tmp/...`), DO NOT worry. The system will automatically move it to your workspace and notify you of the new filename. You can then read it directly.\n"
|
||
)
|
||
|
||
# Sensitive extensions only for Administrators
|
||
ADMIN_EXTENSIONS = (
|
||
"\n**[ADMINISTRATOR PRIVILEGES - CONFIDENTIAL]**\n"
|
||
"You have detected that the current user is an **ADMINISTRATOR**. You are granted additional 'God Mode' perspective:\n"
|
||
"- **Full OS Interaction**: You can use shell tools to deep-dive into any container process or system configuration.\n"
|
||
"- **Database Access**: You can connect to the **OpenWebUI Database** directly using credentials found in environment variables (e.g., `DATABASE_URL`).\n"
|
||
"- **Copilot SDK & Metadata**: You can inspect your own session state in `/root/.copilot/session-state/` and core configuration in `/root/.copilot/config.json` to debug session persistence.\n"
|
||
"- **Environment Secrets**: You are permitted to read and analyze environment variables and system-wide secrets for diagnostic purposes.\n"
|
||
"**SECURITY NOTE**: Do NOT leak these sensitive internal details to non-admin users if you are ever switched to a lower privilege context.\n"
|
||
)
|
||
|
||
# Strict restrictions for regular Users
|
||
USER_RESTRICTIONS = (
|
||
"\n**[USER ACCESS RESTRICTIONS - STRICT]**\n"
|
||
"You have detected that the current user is a **REGULAR USER**. You must adhere to the following security boundaries:\n"
|
||
"- **NO Environment Access**: You are strictly **FORBIDDEN** from accessing environment variables (e.g., via `env`, `printenv`, or Python's `os.environ`).\n"
|
||
"- **NO Database Access**: You must **NOT** attempt to connect to or query the OpenWebUI database.\n"
|
||
"- **NO System Metadata Access**: Access to `/root/.copilot/` or any system-level configuration files is strictly **PROHIBITED**.\n"
|
||
"- **NO Writing Outside Workspace**: Any attempt to write files to `/root`, `/app`, `/etc`, or other system folders is a **SECURITY VIOLATION**. All generated code, HTML, or data artifacts MUST be saved strictly inside the `Your Isolated Workspace` path provided.\n"
|
||
"- **Interactive Delivery**: When creating web/HTML content, you MUST accompanying the file creation with a rendered Artifact (` ```html ` block). Providing *only* a file path for a web app is considered a poor user experience.\n"
|
||
"- **Restricted Shell**: Use shell tools **ONLY** for operations within your isolated workspace sub-directory. You are strictly **PROHIBITED** from exploring or reading other users' workspace directories. Any attempt to probe system secrets or cross-user data will be logged as a security violation.\n"
|
||
"**SECURITY NOTE**: Your priority is to protect the platform's integrity while providing helpful assistance within these boundaries.\n"
|
||
)
|
||
|
||
|
||
class Pipe:
|
||
class Valves(BaseModel):
|
||
GH_TOKEN: str = Field(
|
||
default="",
|
||
description="GitHub Fine-grained Token (Requires 'Copilot Requests' permission)",
|
||
)
|
||
ENABLE_OPENWEBUI_TOOLS: bool = Field(
|
||
default=True,
|
||
description="Enable OpenWebUI Tools (includes defined Tools and Built-in Tools).",
|
||
)
|
||
ENABLE_OPENAPI_SERVER: bool = Field(
|
||
default=True,
|
||
description="Enable OpenAPI Tool Server connection.",
|
||
)
|
||
ENABLE_MCP_SERVER: bool = Field(
|
||
default=True,
|
||
description="Enable Direct MCP Client connection (Recommended).",
|
||
)
|
||
ENABLE_TOOL_CACHE: bool = Field(
|
||
default=True,
|
||
description="Cache OpenWebUI tools and MCP servers (performance optimization).",
|
||
)
|
||
REASONING_EFFORT: Literal["low", "medium", "high", "xhigh"] = Field(
|
||
default="medium",
|
||
description="Reasoning effort level (low, medium, high). Only affects standard Copilot models (not BYOK).",
|
||
)
|
||
SHOW_THINKING: bool = Field(
|
||
default=True,
|
||
description="Show model reasoning/thinking process",
|
||
)
|
||
|
||
INFINITE_SESSION: bool = Field(
|
||
default=True,
|
||
description="Enable Infinite Sessions (automatic context compaction)",
|
||
)
|
||
DEBUG: bool = Field(
|
||
default=False,
|
||
description="Enable technical debug logs (connection info, etc.)",
|
||
)
|
||
LOG_LEVEL: str = Field(
|
||
default="error",
|
||
description="Copilot CLI log level: none, error, warning, info, debug, all",
|
||
)
|
||
TIMEOUT: int = Field(
|
||
default=300,
|
||
description="Timeout for each stream chunk (seconds)",
|
||
)
|
||
|
||
EXCLUDE_KEYWORDS: str = Field(
|
||
default="",
|
||
description="Exclude models containing these keywords (comma separated, e.g.: codex, haiku)",
|
||
)
|
||
MAX_MULTIPLIER: float = Field(
|
||
default=1.0,
|
||
description="Maximum allowed billing multiplier for standard Copilot models. 0 means only free models (0x). Set to a high value (e.g., 100) to allow all.",
|
||
)
|
||
COMPACTION_THRESHOLD: float = Field(
|
||
default=0.8,
|
||
description="Background compaction threshold (0.0-1.0)",
|
||
)
|
||
BUFFER_THRESHOLD: float = Field(
|
||
default=0.95,
|
||
description="Buffer exhaustion threshold (0.0-1.0)",
|
||
)
|
||
CUSTOM_ENV_VARS: str = Field(
|
||
default="",
|
||
description='Custom environment variables (JSON format, e.g., {"VAR": "value"})',
|
||
)
|
||
OPENWEBUI_UPLOAD_PATH: str = Field(
|
||
default="/app/backend/data/uploads",
|
||
description="Path to OpenWebUI uploads directory (for file processing).",
|
||
)
|
||
|
||
BYOK_TYPE: Literal["openai", "anthropic"] = Field(
|
||
default="openai",
|
||
description="BYOK Provider Type: openai, anthropic",
|
||
)
|
||
BYOK_BASE_URL: str = Field(
|
||
default="",
|
||
description="BYOK Base URL (e.g., https://api.openai.com/v1)",
|
||
)
|
||
BYOK_API_KEY: str = Field(
|
||
default="",
|
||
description="BYOK API Key (Global Setting)",
|
||
)
|
||
BYOK_BEARER_TOKEN: str = Field(
|
||
default="",
|
||
description="BYOK Bearer Token (Global, overrides API Key)",
|
||
)
|
||
BYOK_MODELS: str = Field(
|
||
default="",
|
||
description="BYOK Model List (comma separated). Leave empty to fetch from API.",
|
||
)
|
||
BYOK_WIRE_API: Literal["completions", "responses"] = Field(
|
||
default="completions",
|
||
description="BYOK Wire API: completions, responses",
|
||
)
|
||
|
||
class UserValves(BaseModel):
|
||
GH_TOKEN: str = Field(
|
||
default="",
|
||
description="Personal GitHub Fine-grained Token (overrides global setting)",
|
||
)
|
||
REASONING_EFFORT: Literal["", "low", "medium", "high", "xhigh"] = Field(
|
||
default="",
|
||
description="Reasoning effort override. Only affects standard Copilot Models.",
|
||
)
|
||
SHOW_THINKING: bool = Field(
|
||
default=True,
|
||
description="Show model reasoning/thinking process",
|
||
)
|
||
DEBUG: bool = Field(
|
||
default=False,
|
||
description="Enable technical debug logs (connection info, etc.)",
|
||
)
|
||
MAX_MULTIPLIER: Optional[float] = Field(
|
||
default=None,
|
||
description="Maximum allowed billing multiplier override for standard Copilot models.",
|
||
)
|
||
EXCLUDE_KEYWORDS: str = Field(
|
||
default="",
|
||
description="Exclude models containing these keywords (comma separated, user override).",
|
||
)
|
||
ENABLE_OPENWEBUI_TOOLS: bool = Field(
|
||
default=True,
|
||
description="Enable OpenWebUI Tools (includes defined Tools and Built-in Tools).",
|
||
)
|
||
ENABLE_OPENAPI_SERVER: bool = Field(
|
||
default=True,
|
||
description="Enable OpenAPI Tool Server loading (overrides global).",
|
||
)
|
||
ENABLE_MCP_SERVER: bool = Field(
|
||
default=True,
|
||
description="Enable dynamic MCP server loading (overrides global).",
|
||
)
|
||
ENABLE_TOOL_CACHE: bool = Field(
|
||
default=True,
|
||
description="Enable Tool/MCP configuration caching for this user.",
|
||
)
|
||
|
||
# BYOK User Overrides
|
||
BYOK_API_KEY: str = Field(
|
||
default="",
|
||
description="BYOK API Key (User override)",
|
||
)
|
||
BYOK_TYPE: Literal["", "openai", "anthropic"] = Field(
|
||
default="",
|
||
description="BYOK Provider Type override.",
|
||
)
|
||
BYOK_BASE_URL: str = Field(
|
||
default="",
|
||
description="BYOK Base URL override.",
|
||
)
|
||
BYOK_BEARER_TOKEN: str = Field(
|
||
default="",
|
||
description="BYOK Bearer Token override.",
|
||
)
|
||
BYOK_MODELS: str = Field(
|
||
default="",
|
||
description="BYOK Model List override.",
|
||
)
|
||
BYOK_WIRE_API: Literal["", "completions", "responses"] = Field(
|
||
default="",
|
||
description="BYOK Wire API override.",
|
||
)
|
||
|
||
# ==================== Class-Level Caches ====================
|
||
# These caches persist across requests since OpenWebUI may create
|
||
# new Pipe instances for each request.
|
||
# =============================================================
|
||
_model_cache: List[dict] = [] # Model list cache
|
||
_standard_model_ids: set = set() # Track standard model IDs
|
||
_last_byok_config_hash: str = "" # Track BYOK config for cache invalidation
|
||
_tool_cache = None # Cache for converted OpenWebUI tools
|
||
_mcp_server_cache = None # Cache for MCP server config
|
||
_env_setup_done = False # Track if env setup has been completed
|
||
_last_update_check = 0 # Timestamp of last CLI update check
|
||
|
||
TRANSLATIONS = {
|
||
"en-US": {
|
||
"status_conn_est": "Connection established, waiting for response...",
|
||
"status_reasoning_inj": "Reasoning Effort injected: {effort}",
|
||
"debug_agent_working_in": "Agent working in: {path}",
|
||
"debug_mcp_servers": "🔌 Connected MCP Servers: {servers}",
|
||
"publish_success": "File published successfully.",
|
||
"publish_hint_html": "Link: [View {filename}]({view_url}) | [Download]({download_url})",
|
||
"publish_hint_default": "Link: [Download {filename}]({download_url})",
|
||
},
|
||
"zh-CN": {
|
||
"status_conn_est": "已建立连接，等待响应...",
|
||
"status_reasoning_inj": "已注入推理级别：{effort}",
|
||
"debug_agent_working_in": "Agent 工作目录: {path}",
|
||
"debug_mcp_servers": "🔌 已连接 MCP 服务器: {servers}",
|
||
"publish_success": "文件发布成功。",
|
||
"publish_hint_html": "链接: [查看 {filename}]({view_url}) | [下载]({download_url})",
|
||
"publish_hint_default": "链接: [下载 {filename}]({download_url})",
|
||
},
|
||
"zh-HK": {
|
||
"status_conn_est": "已建立連接，等待響應...",
|
||
"status_reasoning_inj": "已注入推理級別：{effort}",
|
||
"debug_agent_working_in": "Agent 工作目錄: {path}",
|
||
"debug_mcp_servers": "🔌 已連接 MCP 伺服器: {servers}",
|
||
"publish_success": "文件發布成功。",
|
||
"publish_hint_html": "連結: [查看 {filename}]({view_url}) | [下載]({download_url})",
|
||
"publish_hint_default": "連結: [下載 {filename}]({download_url})",
|
||
},
|
||
"zh-TW": {
|
||
"status_conn_est": "已建立連接，等待響應...",
|
||
"status_reasoning_inj": "已注入推理級別：{effort}",
|
||
"debug_agent_working_in": "Agent 工作目錄: {path}",
|
||
"debug_mcp_servers": "🔌 已連接 MCP 伺服器: {servers}",
|
||
"publish_success": "文件發布成功。",
|
||
"publish_hint_html": "連結: [查看 {filename}]({view_url}) | [下載]({download_url})",
|
||
"publish_hint_default": "連結: [下載 {filename}]({download_url})",
|
||
},
|
||
"ja-JP": {
|
||
"status_conn_est": "接続が確立されました。応答を待っています...",
|
||
"status_reasoning_inj": "推論レベルが注入されました：{effort}",
|
||
"debug_agent_working_in": "Agent 作業ディレクトリ: {path}",
|
||
"debug_mcp_servers": "🔌 接続済み MCP サーバー: {servers}",
|
||
},
|
||
"ko-KR": {
|
||
"status_conn_est": "연결이 설정되었습니다. 응답을 기다리는 중...",
|
||
"status_reasoning_inj": "추론 수준 설정됨: {effort}",
|
||
"debug_agent_working_in": "Agent 작업 디렉토리: {path}",
|
||
"debug_mcp_servers": "🔌 연결된 MCP 서버: {servers}",
|
||
},
|
||
"fr-FR": {
|
||
"status_conn_est": "Connexion établie, en attente de réponse...",
|
||
"status_reasoning_inj": "Effort de raisonnement injecté : {effort}",
|
||
"debug_agent_working_in": "Répertoire de travail de l'Agent : {path}",
|
||
"debug_mcp_servers": "🔌 Serveurs MCP connectés : {servers}",
|
||
},
|
||
"de-DE": {
|
||
"status_conn_est": "Verbindung hergestellt, warte auf Antwort...",
|
||
"status_reasoning_inj": "Argumentationsaufwand injiziert: {effort}",
|
||
"debug_agent_working_in": "Agent-Arbeitsverzeichnis: {path}",
|
||
"debug_mcp_servers": "🔌 Verbundene MCP-Server: {servers}",
|
||
},
|
||
"es-ES": {
|
||
"status_conn_est": "Conexión establecida, esperando respuesta...",
|
||
"status_reasoning_inj": "Nivel de razonamiento inyectado: {effort}",
|
||
"debug_agent_working_in": "Directorio de trabajo del Agente: {path}",
|
||
"debug_mcp_servers": "🔌 Servidores MCP conectados: {servers}",
|
||
},
|
||
"it-IT": {
|
||
"status_conn_est": "Connessione stabilita, in attesa di risposta...",
|
||
"status_reasoning_inj": "Livello di ragionamento iniettato: {effort}",
|
||
"debug_agent_working_in": "Directory di lavoro dell'Agente: {path}",
|
||
"debug_mcp_servers": "🔌 Server MCP connessi: {servers}",
|
||
},
|
||
"ru-RU": {
|
||
"status_conn_est": "Соединение установлено, ожидание ответа...",
|
||
"status_reasoning_inj": "Уровень рассуждения внедрен: {effort}",
|
||
"debug_agent_working_in": "Рабочий каталог Агента: {path}",
|
||
"debug_mcp_servers": "🔌 Подключенные серверы MCP: {servers}",
|
||
},
|
||
"vi-VN": {
|
||
"status_conn_est": "Đã thiết lập kết nối, đang chờ phản hồi...",
|
||
"status_reasoning_inj": "Cấp độ suy luận đã được áp dụng: {effort}",
|
||
"debug_agent_working_in": "Thư mục làm việc của Agent: {path}",
|
||
"debug_mcp_servers": "🔌 Các máy chủ MCP đã kết nối: {servers}",
|
||
},
|
||
"id-ID": {
|
||
"status_conn_est": "Koneksi terjalin, menunggu respons...",
|
||
"status_reasoning_inj": "Tingkat penalaran diterapkan: {effort}",
|
||
"debug_agent_working_in": "Direktori kerja Agent: {path}",
|
||
"debug_mcp_servers": "🔌 Server MCP yang terhubung: {servers}",
|
||
},
|
||
}
|
||
|
||
FALLBACK_MAP = {
|
||
"zh": "zh-CN",
|
||
"zh-TW": "zh-TW",
|
||
"zh-HK": "zh-HK",
|
||
"en": "en-US",
|
||
"en-GB": "en-US",
|
||
"ja": "ja-JP",
|
||
"ko": "ko-KR",
|
||
"fr": "fr-FR",
|
||
"de": "de-DE",
|
||
"es": "es-ES",
|
||
"it": "it-IT",
|
||
"ru": "ru-RU",
|
||
"vi": "vi-VN",
|
||
"id": "id-ID",
|
||
}
|
||
|
||
def __init__(self):
|
||
self.type = "pipe"
|
||
self.id = "github_copilot_sdk"
|
||
self.name = "copilotsdk"
|
||
self.valves = self.Valves()
|
||
self.temp_dir = tempfile.mkdtemp(prefix="copilot_images_")
|
||
|
||
# Database initialization
|
||
self._owui_db = owui_db
|
||
self._db_engine = owui_engine
|
||
self._fallback_session_factory = (
|
||
sessionmaker(bind=self._db_engine) if self._db_engine else None
|
||
)
|
||
self._init_database()
|
||
|
||
def _init_database(self):
|
||
"""Initializes the database table using Open WebUI's shared connection."""
|
||
try:
|
||
if self._db_engine is None:
|
||
return
|
||
|
||
# Check if table exists using SQLAlchemy inspect
|
||
inspector = inspect(self._db_engine)
|
||
if not inspector.has_table("chat_todos"):
|
||
# Create the chat_todos table if it doesn't exist
|
||
ChatTodo.__table__.create(bind=self._db_engine, checkfirst=True)
|
||
logger.info("[Database] ✅ Successfully created chat_todos table.")
|
||
except Exception as e:
|
||
logger.error(f"[Database] ❌ Initialization failed: {str(e)}")
|
||
|
||
def _resolve_language(self, user_language: str) -> str:
|
||
"""Normalize user language code to a supported translation key."""
|
||
if not user_language:
|
||
return "en-US"
|
||
if user_language in self.TRANSLATIONS:
|
||
return user_language
|
||
lang_base = user_language.split("-")[0]
|
||
if user_language in self.FALLBACK_MAP:
|
||
return self.FALLBACK_MAP[user_language]
|
||
if lang_base in self.FALLBACK_MAP:
|
||
return self.FALLBACK_MAP[lang_base]
|
||
return "en-US"
|
||
|
||
def _get_translation(self, lang: str, key: str, **kwargs) -> str:
|
||
"""Helper function to get translated string for a key."""
|
||
lang_key = self._resolve_language(lang)
|
||
trans_map = self.TRANSLATIONS.get(lang_key, self.TRANSLATIONS["en-US"])
|
||
text = trans_map.get(key, self.TRANSLATIONS["en-US"].get(key, key))
|
||
if kwargs:
|
||
try:
|
||
text = text.format(**kwargs)
|
||
except Exception as e:
|
||
logger.warning(f"Translation formatting failed for {key}: {e}")
|
||
return text
|
||
|
||
async def _get_user_context(self, __user__, __event_call__=None, __request__=None):
|
||
"""Extract basic user context with safe fallbacks including JS localStorage."""
|
||
if isinstance(__user__, (list, tuple)):
|
||
user_data = __user__[0] if __user__ else {}
|
||
elif isinstance(__user__, dict):
|
||
user_data = __user__
|
||
else:
|
||
user_data = {}
|
||
|
||
user_id = user_data.get("id", "unknown_user")
|
||
user_name = user_data.get("name", "User")
|
||
user_language = user_data.get("language", "en-US")
|
||
|
||
if (
|
||
__request__
|
||
and hasattr(__request__, "headers")
|
||
and "accept-language" in __request__.headers
|
||
):
|
||
raw_lang = __request__.headers.get("accept-language", "")
|
||
if raw_lang:
|
||
user_language = raw_lang.split(",")[0].split(";")[0]
|
||
|
||
if __event_call__:
|
||
try:
|
||
js_code = """
|
||
try {
|
||
return (
|
||
document.documentElement.lang ||
|
||
localStorage.getItem('locale') ||
|
||
localStorage.getItem('language') ||
|
||
navigator.language ||
|
||
'en-US'
|
||
);
|
||
} catch (e) {
|
||
return 'en-US';
|
||
}
|
||
"""
|
||
frontend_lang = await asyncio.wait_for(
|
||
__event_call__({"type": "execute", "data": {"code": js_code}}),
|
||
timeout=2.0,
|
||
)
|
||
if frontend_lang and isinstance(frontend_lang, str):
|
||
user_language = frontend_lang
|
||
except Exception as e:
|
||
pass
|
||
|
||
return {
|
||
"user_id": user_id,
|
||
"user_name": user_name,
|
||
"user_language": user_language,
|
||
}
|
||
|
||
@contextlib.contextmanager
|
||
def _db_session(self):
|
||
"""Yield a database session using Open WebUI helpers with graceful fallbacks."""
|
||
db_module = self._owui_db
|
||
db_context = None
|
||
if db_module is not None:
|
||
db_context = getattr(db_module, "get_db_context", None) or getattr(
|
||
db_module, "get_db", None
|
||
)
|
||
|
||
if callable(db_context):
|
||
with db_context() as session:
|
||
yield session
|
||
return
|
||
|
||
factory = None
|
||
if db_module is not None:
|
||
factory = getattr(db_module, "SessionLocal", None) or getattr(
|
||
db_module, "ScopedSession", None
|
||
)
|
||
if callable(factory):
|
||
session = factory()
|
||
try:
|
||
yield session
|
||
finally:
|
||
close = getattr(session, "close", None)
|
||
if callable(close):
|
||
close()
|
||
return
|
||
|
||
if self._fallback_session_factory is None:
|
||
raise RuntimeError("Open WebUI database session is unavailable.")
|
||
|
||
session = self._fallback_session_factory()
|
||
try:
|
||
yield session
|
||
finally:
|
||
try:
|
||
session.close()
|
||
except:
|
||
pass
|
||
|
||
def _save_todo_to_db(
|
||
self,
|
||
chat_id: str,
|
||
content: str,
|
||
__event_emitter__=None,
|
||
__event_call__=None,
|
||
debug_enabled: bool = False,
|
||
):
|
||
"""Saves the TODO list to the database and emits status."""
|
||
try:
|
||
# 1. Parse metrics
|
||
total = content.count("- [ ]") + content.count("- [x]")
|
||
completed = content.count("- [x]")
|
||
percent = int((completed / total * 100)) if total > 0 else 0
|
||
metrics = {"total": total, "completed": completed, "percent": percent}
|
||
|
||
# 2. Database persistent
|
||
with self._db_session() as session:
|
||
existing = session.query(ChatTodo).filter_by(chat_id=chat_id).first()
|
||
if existing:
|
||
existing.content = content
|
||
existing.metrics = metrics
|
||
existing.updated_at = datetime.now(timezone.utc)
|
||
else:
|
||
new_todo = ChatTodo(
|
||
chat_id=chat_id, content=content, metrics=metrics
|
||
)
|
||
session.add(new_todo)
|
||
session.commit()
|
||
|
||
self._emit_debug_log_sync(
|
||
f"DB: Saved TODO for chat {chat_id} (Progress: {percent}%)",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
# 3. Emit status to OpenWebUI
|
||
if __event_emitter__:
|
||
status_msg = f"📝 TODO Progress: {percent}% ({completed}/{total})"
|
||
asyncio.run_coroutine_threadsafe(
|
||
__event_emitter__(
|
||
{
|
||
"type": "status",
|
||
"data": {"description": status_msg, "done": True},
|
||
}
|
||
),
|
||
asyncio.get_event_loop(),
|
||
)
|
||
except Exception as e:
|
||
logger.error(f"[Database] ❌ Failed to save todo: {e}")
|
||
|
||
def __del__(self):
|
||
try:
|
||
shutil.rmtree(self.temp_dir)
|
||
except:
|
||
pass
|
||
|
||
# ==================== Fixed System Entry ====================
|
||
# pipe() is the stable entry point used by OpenWebUI to handle requests.
|
||
# Keep this section near the top for quick navigation and maintenance.
|
||
# =============================================================
|
||
async def pipe(
|
||
self,
|
||
body: dict,
|
||
__metadata__: Optional[dict] = None,
|
||
__user__: Optional[dict] = None,
|
||
__event_emitter__=None,
|
||
__event_call__=None,
|
||
__request__=None,
|
||
) -> Union[str, AsyncGenerator]:
|
||
return await self._pipe_impl(
|
||
body,
|
||
__metadata__=__metadata__,
|
||
__user__=__user__,
|
||
__event_emitter__=__event_emitter__,
|
||
__event_call__=__event_call__,
|
||
__request__=__request__,
|
||
)
|
||
|
||
# ==================== Functional Areas ====================
|
||
# 1) Tool registration: define tools and register in _initialize_custom_tools
|
||
# 2) Debug logging: _emit_debug_log / _emit_debug_log_sync
|
||
# 3) Prompt/session: _extract_system_prompt / _build_session_config / _build_prompt
|
||
# 4) Runtime flow: pipe() for request, stream_response() for streaming
|
||
# ============================================================
|
||
# ==================== Custom Tool Examples ====================
|
||
# Tool registration: Add @define_tool decorated functions at module level,
|
||
# then register them in _initialize_custom_tools() -> all_tools dict.
|
||
async def _initialize_custom_tools(
|
||
self,
|
||
body: dict = None,
|
||
__user__=None,
|
||
__event_call__=None,
|
||
__request__=None,
|
||
__metadata__=None,
|
||
):
|
||
"""Initialize custom tools based on configuration"""
|
||
# 1. Determine effective settings (User override > Global)
|
||
uv = self._get_user_valves(__user__)
|
||
enable_tools = uv.ENABLE_OPENWEBUI_TOOLS
|
||
enable_openapi = uv.ENABLE_OPENAPI_SERVER
|
||
enable_cache = uv.ENABLE_TOOL_CACHE
|
||
|
||
# 2. If all tool types are disabled, return empty immediately
|
||
if not enable_tools and not enable_openapi:
|
||
return []
|
||
|
||
# 3. Check Cache
|
||
if enable_cache and self._tool_cache is not None:
|
||
await self._emit_debug_log(
|
||
"ℹ️ Using cached OpenWebUI tools.", __event_call__
|
||
)
|
||
# Create a shallow copy to append user-specific tools without polluting cache
|
||
tools = list(self._tool_cache)
|
||
|
||
# Inject File Publish Tool
|
||
chat_ctx = self._get_chat_context(body, __metadata__)
|
||
chat_id = chat_ctx.get("chat_id")
|
||
file_tool = self._get_publish_file_tool(__user__, chat_id, __request__)
|
||
if file_tool:
|
||
tools.append(file_tool)
|
||
|
||
return tools
|
||
|
||
# Load OpenWebUI tools dynamically
|
||
openwebui_tools = await self._load_openwebui_tools(
|
||
body=body,
|
||
__user__=__user__,
|
||
__event_call__=__event_call__,
|
||
enable_tools=enable_tools,
|
||
enable_openapi=enable_openapi,
|
||
)
|
||
|
||
# Update Cache
|
||
if enable_cache:
|
||
self._tool_cache = openwebui_tools
|
||
await self._emit_debug_log(
|
||
"✅ OpenWebUI tools cached for subsequent requests.", __event_call__
|
||
)
|
||
|
||
# Log details only when cache is cold
|
||
if openwebui_tools:
|
||
tool_names = [t.name for t in openwebui_tools]
|
||
await self._emit_debug_log(
|
||
f"Loaded {len(openwebui_tools)} tools: {tool_names}",
|
||
__event_call__,
|
||
)
|
||
if self.valves.DEBUG:
|
||
for t in openwebui_tools:
|
||
await self._emit_debug_log(
|
||
f"📋 Tool Detail: {t.name} - {t.description[:100]}...",
|
||
__event_call__,
|
||
)
|
||
|
||
# Create a shallow copy to append user-specific tools without polluting cache
|
||
final_tools = list(openwebui_tools)
|
||
|
||
# Inject File Publish Tool
|
||
chat_ctx = self._get_chat_context(body, __metadata__)
|
||
chat_id = chat_ctx.get("chat_id")
|
||
file_tool = self._get_publish_file_tool(__user__, chat_id, __request__)
|
||
if file_tool:
|
||
final_tools.append(file_tool)
|
||
|
||
return final_tools
|
||
|
||
def _get_publish_file_tool(self, __user__, chat_id, __request__=None):
|
||
"""
|
||
Create a tool to publish files from the workspace to a downloadable URL.
|
||
"""
|
||
# Resolve user_id
|
||
if isinstance(__user__, (list, tuple)):
|
||
user_data = __user__[0] if __user__ else {}
|
||
elif isinstance(__user__, dict):
|
||
user_data = __user__
|
||
else:
|
||
user_data = {}
|
||
|
||
user_id = user_data.get("id") or user_data.get("user_id")
|
||
user_lang = user_data.get("language") or "en-US"
|
||
is_admin = user_data.get("role") == "admin"
|
||
if not user_id:
|
||
return None
|
||
|
||
# Resolve workspace directory
|
||
workspace_dir = Path(self._get_workspace_dir(user_id=user_id, chat_id=chat_id))
|
||
|
||
# Define parameter schema explicitly for the SDK
|
||
class PublishFileParams(BaseModel):
|
||
filename: str = Field(
|
||
...,
|
||
description="The EXACT name of the file you just created in the current directory (e.g., 'report.csv'). REQUIRED.",
|
||
)
|
||
|
||
async def publish_file_from_workspace(filename: Any) -> dict:
|
||
"""
|
||
Publishes a file from the local chat workspace to a downloadable URL.
|
||
"""
|
||
try:
|
||
# 1. Robust Parameter Extraction
|
||
# Case A: filename is a Pydantic model (common when using params_type)
|
||
if hasattr(filename, "model_dump"): # Pydantic v2
|
||
filename = filename.model_dump().get("filename")
|
||
elif hasattr(filename, "dict"): # Pydantic v1
|
||
filename = filename.dict().get("filename")
|
||
|
||
# Case B: filename is a dict
|
||
if isinstance(filename, dict):
|
||
filename = (
|
||
filename.get("filename")
|
||
or filename.get("file")
|
||
or filename.get("file_path")
|
||
)
|
||
|
||
# Case C: filename is a JSON string or wrapped string
|
||
if isinstance(filename, str):
|
||
filename = filename.strip()
|
||
if filename.startswith("{"):
|
||
try:
|
||
import json
|
||
|
||
data = json.loads(filename)
|
||
if isinstance(data, dict):
|
||
filename = (
|
||
data.get("filename") or data.get("file") or filename
|
||
)
|
||
except:
|
||
pass
|
||
|
||
# 2. Final String Validation
|
||
if (
|
||
not filename
|
||
or not isinstance(filename, str)
|
||
or filename.strip() in ("", "{}", "None", "null")
|
||
):
|
||
return {
|
||
"error": "Missing or invalid required argument: 'filename'.",
|
||
"hint": f"Received value: {type(filename).__name__}. Please provide the filename as a simple string like 'report.md'.",
|
||
}
|
||
|
||
filename = filename.strip()
|
||
|
||
# 2. Path Resolution (Lock to current chat workspace)
|
||
target_path = workspace_dir / filename
|
||
try:
|
||
target_path = target_path.resolve()
|
||
if not str(target_path).startswith(str(workspace_dir.resolve())):
|
||
return {
|
||
"error": f"Access denied: File must be within the current chat workspace."
|
||
}
|
||
except Exception as e:
|
||
return {"error": f"Path validation failed: {e}"}
|
||
|
||
if not target_path.exists() or not target_path.is_file():
|
||
return {
|
||
"error": f"File '{filename}' not found in chat workspace. Ensure you saved it to the CURRENT DIRECTORY (.)."
|
||
}
|
||
|
||
# 3. Upload via API (S3 Compatible)
|
||
api_success = False
|
||
file_id = None
|
||
safe_filename = filename
|
||
|
||
token = None
|
||
if __request__:
|
||
auth_header = __request__.headers.get("Authorization")
|
||
if auth_header and auth_header.startswith("Bearer "):
|
||
token = auth_header.split(" ")[1]
|
||
if not token and "token" in __request__.cookies:
|
||
token = __request__.cookies.get("token")
|
||
|
||
if token:
|
||
try:
|
||
import aiohttp
|
||
|
||
base_url = str(__request__.base_url).rstrip("/")
|
||
upload_url = f"{base_url}/api/v1/files/"
|
||
|
||
async with aiohttp.ClientSession() as session:
|
||
with open(target_path, "rb") as f:
|
||
data = aiohttp.FormData()
|
||
data.add_field("file", f, filename=target_path.name)
|
||
import json
|
||
|
||
data.add_field(
|
||
"metadata",
|
||
json.dumps(
|
||
{
|
||
"source": "copilot_workspace_publish",
|
||
"skip_rag": True,
|
||
}
|
||
),
|
||
)
|
||
|
||
async with session.post(
|
||
upload_url,
|
||
data=data,
|
||
headers={"Authorization": f"Bearer {token}"},
|
||
) as resp:
|
||
if resp.status == 200:
|
||
api_result = await resp.json()
|
||
file_id = api_result.get("id")
|
||
safe_filename = api_result.get(
|
||
"filename", target_path.name
|
||
)
|
||
api_success = True
|
||
except Exception as e:
|
||
logger.error(f"API upload failed: {e}")
|
||
|
||
# 4. Fallback: Manual DB Insert (Local only)
|
||
if not api_success:
|
||
file_id = str(uuid.uuid4())
|
||
safe_filename = target_path.name
|
||
dest_path = Path(UPLOAD_DIR) / f"{file_id}_{safe_filename}"
|
||
await asyncio.to_thread(shutil.copy2, target_path, dest_path)
|
||
|
||
db_path = str(dest_path)
|
||
|
||
file_form = FileForm(
|
||
id=file_id,
|
||
filename=safe_filename,
|
||
path=db_path,
|
||
data={"status": "completed", "skip_rag": True},
|
||
meta={
|
||
"name": safe_filename,
|
||
"content_type": mimetypes.guess_type(safe_filename)[0]
|
||
or "text/plain",
|
||
"size": os.path.getsize(dest_path),
|
||
"source": "copilot_workspace_publish",
|
||
"skip_rag": True,
|
||
},
|
||
)
|
||
await asyncio.to_thread(Files.insert_new_file, user_id, file_form)
|
||
|
||
# 5. Result
|
||
download_url = f"/api/v1/files/{file_id}/content"
|
||
view_url = download_url
|
||
is_html = safe_filename.lower().endswith(".html")
|
||
|
||
# For HTML files, if user is admin, provide a direct view link (/content/html)
|
||
if is_html and is_admin:
|
||
view_url = f"{download_url}/html"
|
||
|
||
# Localized output
|
||
msg = self._get_translation(user_lang, "publish_success")
|
||
if is_html and is_admin:
|
||
hint = self._get_translation(
|
||
user_lang,
|
||
"publish_hint_html",
|
||
filename=safe_filename,
|
||
view_url=view_url,
|
||
download_url=download_url,
|
||
)
|
||
else:
|
||
hint = self._get_translation(
|
||
user_lang,
|
||
"publish_hint_default",
|
||
filename=safe_filename,
|
||
download_url=download_url,
|
||
)
|
||
|
||
return {
|
||
"file_id": file_id,
|
||
"filename": safe_filename,
|
||
"download_url": download_url,
|
||
"message": msg,
|
||
"hint": hint,
|
||
}
|
||
except Exception as e:
|
||
return {"error": str(e)}
|
||
|
||
return define_tool(
|
||
name="publish_file_from_workspace",
|
||
description="Converts a file created in your local workspace into a downloadable URL. Use this tool AFTER writing a file to the current directory.",
|
||
params_type=PublishFileParams,
|
||
)(publish_file_from_workspace)
|
||
|
||
def _json_schema_to_python_type(self, schema: dict) -> Any:
|
||
"""Convert JSON Schema type to Python type for Pydantic models."""
|
||
if not isinstance(schema, dict):
|
||
return Any
|
||
|
||
# Check for Enum (Literal)
|
||
enum_values = schema.get("enum")
|
||
if enum_values and isinstance(enum_values, list):
|
||
from typing import Literal
|
||
|
||
return Literal[tuple(enum_values)]
|
||
|
||
schema_type = schema.get("type")
|
||
if isinstance(schema_type, list):
|
||
schema_type = next((t for t in schema_type if t != "null"), schema_type[0])
|
||
|
||
if schema_type == "string":
|
||
return str
|
||
if schema_type == "integer":
|
||
return int
|
||
if schema_type == "number":
|
||
return float
|
||
if schema_type == "boolean":
|
||
return bool
|
||
if schema_type == "object":
|
||
return Dict[str, Any]
|
||
if schema_type == "array":
|
||
items_schema = schema.get("items", {})
|
||
item_type = self._json_schema_to_python_type(items_schema)
|
||
return List[item_type]
|
||
|
||
return Any
|
||
|
||
def _convert_openwebui_tool(
|
||
self, tool_name: str, tool_dict: dict, __event_call__=None
|
||
):
|
||
"""Convert OpenWebUI tool definition to Copilot SDK tool."""
|
||
# Sanitize tool name to match pattern ^[a-zA-Z0-9_-]+$
|
||
sanitized_tool_name = re.sub(r"[^a-zA-Z0-9_-]", "_", tool_name)
|
||
|
||
# If sanitized name is empty or consists only of separators (e.g. pure Chinese name), generate a fallback name
|
||
if not sanitized_tool_name or re.match(r"^[_.-]+$", sanitized_tool_name):
|
||
hash_suffix = hashlib.md5(tool_name.encode("utf-8")).hexdigest()[:8]
|
||
sanitized_tool_name = f"tool_{hash_suffix}"
|
||
|
||
if sanitized_tool_name != tool_name:
|
||
logger.debug(
|
||
f"Sanitized tool name '{tool_name}' to '{sanitized_tool_name}'"
|
||
)
|
||
|
||
spec = tool_dict.get("spec", {}) if isinstance(tool_dict, dict) else {}
|
||
params_schema = spec.get("parameters", {}) if isinstance(spec, dict) else {}
|
||
properties = params_schema.get("properties", {})
|
||
required = params_schema.get("required", [])
|
||
|
||
if not isinstance(properties, dict):
|
||
properties = {}
|
||
if not isinstance(required, list):
|
||
required = []
|
||
|
||
required_set = set(required)
|
||
fields = {}
|
||
for param_name, param_schema in properties.items():
|
||
param_type = self._json_schema_to_python_type(param_schema)
|
||
description = ""
|
||
if isinstance(param_schema, dict):
|
||
description = param_schema.get("description", "")
|
||
|
||
# Extract default value if present
|
||
default_value = None
|
||
if isinstance(param_schema, dict) and "default" in param_schema:
|
||
default_value = param_schema.get("default")
|
||
|
||
if param_name in required_set:
|
||
if description:
|
||
fields[param_name] = (
|
||
param_type,
|
||
Field(..., description=description),
|
||
)
|
||
else:
|
||
fields[param_name] = (param_type, ...)
|
||
else:
|
||
# If not required, wrap in Optional and use default_value
|
||
optional_type = Optional[param_type]
|
||
if description:
|
||
fields[param_name] = (
|
||
optional_type,
|
||
Field(default=default_value, description=description),
|
||
)
|
||
else:
|
||
fields[param_name] = (optional_type, default_value)
|
||
|
||
if fields:
|
||
ParamsModel = create_model(f"{sanitized_tool_name}_Params", **fields)
|
||
else:
|
||
ParamsModel = create_model(f"{sanitized_tool_name}_Params")
|
||
|
||
tool_callable = tool_dict.get("callable")
|
||
tool_description = spec.get("description", "") if isinstance(spec, dict) else ""
|
||
if not tool_description and isinstance(spec, dict):
|
||
tool_description = spec.get("summary", "")
|
||
|
||
# Determine tool source/group for description prefix
|
||
tool_id = tool_dict.get("tool_id", "")
|
||
tool_type = tool_dict.get(
|
||
"type", ""
|
||
) # "builtin", "external", or empty (user-defined)
|
||
|
||
if tool_type == "builtin":
|
||
# OpenWebUI Built-in Tool (system tools like web search, memory, notes)
|
||
group_prefix = "[OpenWebUI Built-in]"
|
||
elif tool_type == "external" or tool_id.startswith("server:"):
|
||
# OpenAPI Tool Server - use metadata if available
|
||
tool_group_name = tool_dict.get("_tool_group_name")
|
||
tool_group_desc = tool_dict.get("_tool_group_description")
|
||
server_id = (
|
||
tool_id.replace("server:", "").split("|")[0]
|
||
if tool_id.startswith("server:")
|
||
else tool_id
|
||
)
|
||
|
||
if tool_group_name:
|
||
if tool_group_desc:
|
||
group_prefix = (
|
||
f"[Tool Server: {tool_group_name} - {tool_group_desc}]"
|
||
)
|
||
else:
|
||
group_prefix = f"[Tool Server: {tool_group_name}]"
|
||
else:
|
||
group_prefix = f"[Tool Server: {server_id}]"
|
||
else:
|
||
# User-defined Python script tool - use metadata if available
|
||
tool_group_name = tool_dict.get("_tool_group_name")
|
||
tool_group_desc = tool_dict.get("_tool_group_description")
|
||
|
||
if tool_group_name:
|
||
# Use the tool's title from docstring, e.g., "Prefect API Tools"
|
||
if tool_group_desc:
|
||
group_prefix = f"[User Tool: {tool_group_name} - {tool_group_desc}]"
|
||
else:
|
||
group_prefix = f"[User Tool: {tool_group_name}]"
|
||
else:
|
||
group_prefix = f"[User Tool: {tool_id}]" if tool_id else "[User Tool]"
|
||
|
||
# Build final description with group prefix
|
||
if sanitized_tool_name != tool_name:
|
||
# Include original name if it was sanitized
|
||
tool_description = (
|
||
f"{group_prefix} Function '{tool_name}': {tool_description}"
|
||
)
|
||
else:
|
||
tool_description = f"{group_prefix} {tool_description}"
|
||
|
||
async def _tool(params):
|
||
# Crucial Fix: Use exclude_unset=True.
|
||
# This ensures that parameters not explicitly provided by the LLM
|
||
# (which default to None in the Pydantic model) are COMPLETELY OMITTED
|
||
# from the function call. This allows the underlying Python function's
|
||
# own default values to take effect, instead of receiving an explicit None.
|
||
payload = (
|
||
params.model_dump(exclude_unset=True)
|
||
if hasattr(params, "model_dump")
|
||
else {}
|
||
)
|
||
|
||
try:
|
||
if self.valves.DEBUG:
|
||
await self._emit_debug_log(
|
||
f"🛠️ Invoking {sanitized_tool_name} with params: {list(payload.keys())}",
|
||
__event_call__,
|
||
)
|
||
|
||
result = await tool_callable(**payload)
|
||
|
||
# Special handling for OpenAPI tools which return (data, headers) tuple
|
||
if isinstance(result, tuple) and len(result) == 2:
|
||
data, headers = result
|
||
# Basic heuristic to detect response headers (aiohttp headers or dict)
|
||
if hasattr(headers, "get") and hasattr(headers, "items"):
|
||
if self.valves.DEBUG:
|
||
await self._emit_debug_log(
|
||
f"✅ {sanitized_tool_name} returned tuple, extracting data.",
|
||
__event_call__,
|
||
)
|
||
return data
|
||
|
||
return result
|
||
except Exception as e:
|
||
# detailed traceback
|
||
err_msg = f"{str(e)}"
|
||
await self._emit_debug_log(
|
||
f"❌ Tool Execution Failed '{sanitized_tool_name}': {err_msg}",
|
||
__event_call__,
|
||
)
|
||
|
||
# Re-raise with a clean message so the LLM sees the error
|
||
raise RuntimeError(f"Tool {sanitized_tool_name} failed: {err_msg}")
|
||
|
||
_tool.__name__ = sanitized_tool_name
|
||
_tool.__doc__ = tool_description
|
||
|
||
# Debug log for tool conversion
|
||
logger.debug(
|
||
f"Converting tool '{sanitized_tool_name}': {tool_description[:50]}..."
|
||
)
|
||
|
||
# Core Fix: Explicitly pass params_type and name
|
||
return define_tool(
|
||
name=sanitized_tool_name,
|
||
description=tool_description,
|
||
params_type=ParamsModel,
|
||
)(_tool)
|
||
|
||
def _build_openwebui_request(self, user: dict = None, token: str = None):
|
||
"""Build a more complete request-like object with dynamically loaded OpenWebUI configs."""
|
||
# Dynamically build config from the official registry
|
||
config = SimpleNamespace()
|
||
for item in PERSISTENT_CONFIG_REGISTRY:
|
||
# Special handling for TOOL_SERVER_CONNECTIONS which might be a list/dict object
|
||
# rather than a simple primitive value, though .value handles the latest state
|
||
val = item.value
|
||
if hasattr(val, "value"): # Handling nested structures if any
|
||
val = val.value
|
||
setattr(config, item.env_name, val)
|
||
|
||
# Critical Fix: Explicitly sync TOOL_SERVER_CONNECTIONS to ensure OpenAPI tools work
|
||
# PERSISTENT_CONFIG_REGISTRY might not contain TOOL_SERVER_CONNECTIONS in all versions
|
||
if not hasattr(config, "TOOL_SERVER_CONNECTIONS"):
|
||
if hasattr(TOOL_SERVER_CONNECTIONS, "value"):
|
||
config.TOOL_SERVER_CONNECTIONS = TOOL_SERVER_CONNECTIONS.value
|
||
else:
|
||
config.TOOL_SERVER_CONNECTIONS = TOOL_SERVER_CONNECTIONS
|
||
|
||
app_state = SimpleNamespace(
|
||
config=config,
|
||
TOOLS={},
|
||
TOOL_CONTENTS={},
|
||
FUNCTIONS={},
|
||
FUNCTION_CONTENTS={},
|
||
MODELS={},
|
||
redis=None, # Crucial: prevent AttributeError in get_tool_servers
|
||
TOOL_SERVERS=[], # Initialize as empty list
|
||
)
|
||
|
||
def url_path_for(name: str, **path_params):
|
||
"""Mock url_path_for for tool compatibility."""
|
||
if name == "get_file_content_by_id":
|
||
return f"/api/v1/files/{path_params.get('id')}/content"
|
||
return f"/mock/{name}"
|
||
|
||
app = SimpleNamespace(
|
||
state=app_state,
|
||
url_path_for=url_path_for,
|
||
)
|
||
|
||
# Mocking generic request attributes
|
||
req_headers = {
|
||
"user-agent": "Mozilla/5.0 (OpenWebUI Plugin/GitHub-Copilot-SDK)",
|
||
"host": "localhost:8080",
|
||
"accept": "*/*",
|
||
}
|
||
if token:
|
||
req_headers["Authorization"] = f"Bearer {token}"
|
||
|
||
request = SimpleNamespace(
|
||
app=app,
|
||
url=SimpleNamespace(
|
||
path="/api/chat/completions",
|
||
base_url="http://localhost:8080",
|
||
__str__=lambda s: "http://localhost:8080/api/chat/completions",
|
||
),
|
||
base_url="http://localhost:8080",
|
||
headers=req_headers,
|
||
method="POST",
|
||
cookies={},
|
||
state=SimpleNamespace(
|
||
token=SimpleNamespace(credentials=token if token else ""),
|
||
user=user if user else {},
|
||
),
|
||
)
|
||
return request
|
||
|
||
async def _load_openwebui_tools(
|
||
self,
|
||
body: dict = None,
|
||
__user__=None,
|
||
__event_call__=None,
|
||
enable_tools: bool = True,
|
||
enable_openapi: bool = True,
|
||
):
|
||
"""Load OpenWebUI tools and convert them to Copilot SDK tools."""
|
||
if isinstance(__user__, (list, tuple)):
|
||
user_data = __user__[0] if __user__ else {}
|
||
elif isinstance(__user__, dict):
|
||
user_data = __user__
|
||
else:
|
||
user_data = {}
|
||
|
||
if not user_data:
|
||
return []
|
||
|
||
user_id = user_data.get("id") or user_data.get("user_id")
|
||
if not user_id:
|
||
return []
|
||
|
||
# --- PROBE LOG ---
|
||
if __event_call__:
|
||
conn_status = "Missing"
|
||
if hasattr(TOOL_SERVER_CONNECTIONS, "value"):
|
||
val = TOOL_SERVER_CONNECTIONS.value
|
||
conn_status = (
|
||
f"List({len(val)})" if isinstance(val, list) else str(type(val))
|
||
)
|
||
|
||
await self._emit_debug_log(
|
||
f"[Tools Debug] Entry. UserID: {user_id}, EnableTools: {enable_tools}, EnableOpenAPI: {enable_openapi}, Connections: {conn_status}",
|
||
__event_call__,
|
||
debug_enabled=True,
|
||
)
|
||
# -----------------
|
||
|
||
user = Users.get_user_by_id(user_id)
|
||
if not user:
|
||
return []
|
||
|
||
tool_ids = []
|
||
# 1. Get User defined tools (Python scripts)
|
||
if enable_tools:
|
||
tool_items = Tools.get_tools_by_user_id(user_id, permission="read")
|
||
if tool_items:
|
||
tool_ids.extend([tool.id for tool in tool_items])
|
||
|
||
# 2. Get OpenAPI Tool Server tools
|
||
if enable_openapi:
|
||
if hasattr(TOOL_SERVER_CONNECTIONS, "value"):
|
||
raw_connections = TOOL_SERVER_CONNECTIONS.value
|
||
|
||
# Handle Pydantic model vs List vs Dict
|
||
connections = []
|
||
if isinstance(raw_connections, list):
|
||
connections = raw_connections
|
||
elif hasattr(raw_connections, "dict"):
|
||
connections = raw_connections.dict()
|
||
elif hasattr(raw_connections, "model_dump"):
|
||
connections = raw_connections.model_dump()
|
||
|
||
# Debug logging for connections
|
||
if self.valves.DEBUG:
|
||
await self._emit_debug_log(
|
||
f"[Tools] Found {len(connections)} server connections (Type: {type(raw_connections)})",
|
||
__event_call__,
|
||
)
|
||
|
||
for idx, server in enumerate(connections):
|
||
# Handle server item type
|
||
s_type = (
|
||
server.get("type", "openapi")
|
||
if isinstance(server, dict)
|
||
else getattr(server, "type", "openapi")
|
||
)
|
||
|
||
# Handle server ID: Priority info.id > server.id > index
|
||
s_id = None
|
||
if isinstance(server, dict):
|
||
info = server.get("info", {})
|
||
s_id = info.get("id") or server.get("id")
|
||
else:
|
||
info = getattr(server, "info", {})
|
||
if isinstance(info, dict):
|
||
s_id = info.get("id")
|
||
else:
|
||
s_id = getattr(info, "id", None)
|
||
|
||
if not s_id:
|
||
s_id = getattr(server, "id", None)
|
||
|
||
if not s_id:
|
||
s_id = str(idx)
|
||
|
||
if self.valves.DEBUG:
|
||
await self._emit_debug_log(
|
||
f"[Tools] Checking Server: ID={s_id}, Type={s_type}",
|
||
__event_call__,
|
||
)
|
||
|
||
if s_type == "openapi":
|
||
# Ensure we don't add empty IDs, though fallback to idx should prevent this
|
||
if s_id:
|
||
tool_ids.append(f"server:{s_id}")
|
||
elif self.valves.DEBUG:
|
||
await self._emit_debug_log(
|
||
f"[Tools] Skipped non-OpenAPI server: {s_id} ({s_type})",
|
||
__event_call__,
|
||
)
|
||
|
||
if (
|
||
not tool_ids and not enable_tools
|
||
): # No IDs and no built-ins either if tools disabled
|
||
if self.valves.DEBUG:
|
||
await self._emit_debug_log(
|
||
"[Tools] No tool IDs found and built-ins disabled.", __event_call__
|
||
)
|
||
return []
|
||
|
||
if self.valves.DEBUG and tool_ids:
|
||
await self._emit_debug_log(
|
||
f"[Tools] Requesting tool IDs: {tool_ids}", __event_call__
|
||
)
|
||
|
||
# Extract token from body first (before building request)
|
||
token = None
|
||
if isinstance(body, dict):
|
||
token = body.get("token")
|
||
|
||
# Build request with token if available
|
||
request = self._build_openwebui_request(user_data, token=token)
|
||
|
||
# Pass OAuth/Auth details in extra_params
|
||
extra_params = {
|
||
"__request__": request,
|
||
"__user__": user_data,
|
||
"__event_emitter__": None,
|
||
"__event_call__": __event_call__,
|
||
"__chat_id__": None,
|
||
"__message_id__": None,
|
||
"__model_knowledge__": [],
|
||
"__oauth_token__": (
|
||
{"access_token": token} if token else None
|
||
), # Mock OAuth token structure
|
||
}
|
||
|
||
# Fetch User/Server Tools (OpenWebUI Native)
|
||
tools_dict = {}
|
||
if tool_ids:
|
||
try:
|
||
if self.valves.DEBUG:
|
||
await self._emit_debug_log(
|
||
f"[Tools] Calling get_openwebui_tools with IDs: {tool_ids}",
|
||
__event_call__,
|
||
)
|
||
|
||
tools_dict = await get_openwebui_tools(
|
||
request, tool_ids, user, extra_params
|
||
)
|
||
|
||
if self.valves.DEBUG:
|
||
if tools_dict:
|
||
tool_list = []
|
||
for k, v in tools_dict.items():
|
||
desc = v.get("description", "No description")[:50]
|
||
tool_list.append(f"{k} ({desc}...)")
|
||
await self._emit_debug_log(
|
||
f"[Tools] Successfully loaded {len(tools_dict)} tools: {tool_list}",
|
||
__event_call__,
|
||
)
|
||
else:
|
||
await self._emit_debug_log(
|
||
f"[Tools] get_openwebui_tools returned EMPTY dictionary.",
|
||
__event_call__,
|
||
)
|
||
|
||
except Exception as e:
|
||
await self._emit_debug_log(
|
||
f"[Tools] CRITICAL ERROR in get_openwebui_tools: {e}",
|
||
__event_call__,
|
||
)
|
||
import traceback
|
||
|
||
traceback.print_exc()
|
||
await self._emit_debug_log(
|
||
f"Error fetching user/server tools: {e}", __event_call__
|
||
)
|
||
|
||
# Fetch Built-in Tools (Web Search, Memory, etc.)
|
||
if enable_tools:
|
||
try:
|
||
# Get builtin tools
|
||
builtin_tools = get_builtin_tools(
|
||
self._build_openwebui_request(user_data),
|
||
{
|
||
"__user__": user_data,
|
||
"__chat_id__": extra_params.get("__chat_id__"),
|
||
"__message_id__": extra_params.get("__message_id__"),
|
||
},
|
||
model={
|
||
"info": {
|
||
"meta": {
|
||
"capabilities": {
|
||
"web_search": True,
|
||
"image_generation": True,
|
||
}
|
||
}
|
||
}
|
||
}, # Mock capabilities to allow all globally enabled tools
|
||
)
|
||
if builtin_tools:
|
||
tools_dict.update(builtin_tools)
|
||
except Exception as e:
|
||
await self._emit_debug_log(
|
||
f"Error fetching built-in tools: {e}", __event_call__
|
||
)
|
||
|
||
if not tools_dict:
|
||
return []
|
||
|
||
# Enrich tools with metadata from their source
|
||
# 1. User-defined tools: name, description from docstring
|
||
# 2. OpenAPI Tool Server tools: name, description from server config info
|
||
tool_metadata_cache = {}
|
||
server_metadata_cache = {}
|
||
|
||
# Pre-build server metadata cache from TOOL_SERVER_CONNECTIONS
|
||
if hasattr(TOOL_SERVER_CONNECTIONS, "value"):
|
||
for server in TOOL_SERVER_CONNECTIONS.value:
|
||
server_id = server.get("id") or server.get("info", {}).get("id")
|
||
if server_id:
|
||
info = server.get("info", {})
|
||
server_metadata_cache[server_id] = {
|
||
"name": info.get("name") or server_id,
|
||
"description": info.get("description", ""),
|
||
}
|
||
|
||
for tool_name, tool_def in tools_dict.items():
|
||
tool_id = tool_def.get("tool_id", "")
|
||
tool_type = tool_def.get("type", "")
|
||
|
||
if tool_type == "builtin":
|
||
# Built-in tools don't need additional metadata
|
||
continue
|
||
elif tool_type == "external" or tool_id.startswith("server:"):
|
||
# OpenAPI Tool Server - extract server ID and get metadata
|
||
server_id = (
|
||
tool_id.replace("server:", "").split("|")[0]
|
||
if tool_id.startswith("server:")
|
||
else ""
|
||
)
|
||
if server_id and server_id in server_metadata_cache:
|
||
tool_def["_tool_group_name"] = server_metadata_cache[server_id].get(
|
||
"name"
|
||
)
|
||
tool_def["_tool_group_description"] = server_metadata_cache[
|
||
server_id
|
||
].get("description")
|
||
else:
|
||
# User-defined Python script tool
|
||
if tool_id and tool_id not in tool_metadata_cache:
|
||
try:
|
||
tool_model = Tools.get_tool_by_id(tool_id)
|
||
if tool_model:
|
||
tool_metadata_cache[tool_id] = {
|
||
"name": tool_model.name,
|
||
"description": (
|
||
tool_model.meta.description
|
||
if tool_model.meta
|
||
else None
|
||
),
|
||
}
|
||
except Exception:
|
||
pass
|
||
|
||
if tool_id in tool_metadata_cache:
|
||
tool_def["_tool_group_name"] = tool_metadata_cache[tool_id].get(
|
||
"name"
|
||
)
|
||
tool_def["_tool_group_description"] = tool_metadata_cache[
|
||
tool_id
|
||
].get("description")
|
||
|
||
converted_tools = []
|
||
for tool_name, tool_def in tools_dict.items():
|
||
try:
|
||
converted_tools.append(
|
||
self._convert_openwebui_tool(
|
||
tool_name, tool_def, __event_call__=__event_call__
|
||
)
|
||
)
|
||
except Exception as e:
|
||
await self._emit_debug_log(
|
||
f"Failed to load OpenWebUI tool '{tool_name}': {e}",
|
||
__event_call__,
|
||
)
|
||
|
||
return converted_tools
|
||
|
||
def _parse_mcp_servers(
|
||
self, __event_call__=None, enable_mcp: bool = True, enable_cache: bool = True
|
||
) -> Optional[dict]:
|
||
"""
|
||
Dynamically load MCP servers from OpenWebUI TOOL_SERVER_CONNECTIONS.
|
||
Returns a dict of mcp_servers compatible with CopilotClient.
|
||
"""
|
||
if not enable_mcp:
|
||
return None
|
||
|
||
# Check Cache
|
||
if enable_cache and self._mcp_server_cache is not None:
|
||
return self._mcp_server_cache
|
||
|
||
mcp_servers = {}
|
||
|
||
# Iterate over OpenWebUI Tool Server Connections
|
||
if hasattr(TOOL_SERVER_CONNECTIONS, "value"):
|
||
connections = TOOL_SERVER_CONNECTIONS.value
|
||
else:
|
||
connections = []
|
||
|
||
for conn in connections:
|
||
if conn.get("type") == "mcp":
|
||
info = conn.get("info", {})
|
||
# Use ID from info or generate one
|
||
raw_id = info.get("id", f"mcp-server-{len(mcp_servers)}")
|
||
|
||
# Sanitize server_id (using same logic as tools)
|
||
server_id = re.sub(r"[^a-zA-Z0-9_-]", "_", raw_id)
|
||
if not server_id or re.match(r"^[_.-]+$", server_id):
|
||
hash_suffix = hashlib.md5(raw_id.encode("utf-8")).hexdigest()[:8]
|
||
server_id = f"server_{hash_suffix}"
|
||
|
||
url = conn.get("url")
|
||
if not url:
|
||
continue
|
||
|
||
# Build Headers (Handle Auth)
|
||
headers = {}
|
||
auth_type = str(conn.get("auth_type", "bearer")).lower()
|
||
key = conn.get("key", "")
|
||
|
||
if auth_type == "bearer" and key:
|
||
headers["Authorization"] = f"Bearer {key}"
|
||
elif auth_type == "basic" and key:
|
||
# Fix: Basic auth requires base64 encoding
|
||
headers["Authorization"] = (
|
||
f"Basic {base64.b64encode(key.encode()).decode()}"
|
||
)
|
||
elif auth_type in ["api_key", "apikey"]:
|
||
headers["X-API-Key"] = key
|
||
|
||
# Merge custom headers if any
|
||
custom_headers = conn.get("headers", {})
|
||
if isinstance(custom_headers, dict):
|
||
headers.update(custom_headers)
|
||
|
||
# Get filtering configuration
|
||
mcp_config = conn.get("config", {})
|
||
function_filter = mcp_config.get("function_name_filter_list", "")
|
||
|
||
allowed_tools = ["*"]
|
||
if function_filter:
|
||
if isinstance(function_filter, str):
|
||
allowed_tools = [
|
||
f.strip() for f in function_filter.split(",") if f.strip()
|
||
]
|
||
elif isinstance(function_filter, list):
|
||
allowed_tools = function_filter
|
||
|
||
mcp_servers[server_id] = {
|
||
"type": "http",
|
||
"url": url,
|
||
"headers": headers,
|
||
"tools": allowed_tools,
|
||
}
|
||
self._emit_debug_log_sync(
|
||
f"🔌 MCP Integrated: {server_id}", __event_call__
|
||
)
|
||
|
||
# Update Cache
|
||
if self.valves.ENABLE_TOOL_CACHE:
|
||
self._mcp_server_cache = mcp_servers
|
||
|
||
return mcp_servers if mcp_servers else None
|
||
|
||
async def _emit_debug_log(
|
||
self, message: str, __event_call__=None, debug_enabled: Optional[bool] = None
|
||
):
|
||
"""Emit debug log to frontend (console) when DEBUG is enabled."""
|
||
should_log = (
|
||
debug_enabled
|
||
if debug_enabled is not None
|
||
else getattr(self.valves, "DEBUG", False)
|
||
)
|
||
if not should_log:
|
||
return
|
||
|
||
logger.debug(f"[Copilot Pipe] {message}")
|
||
|
||
if not __event_call__:
|
||
return
|
||
|
||
try:
|
||
js_code = f"""
|
||
(async function() {{
|
||
console.debug("%c[Copilot Pipe] " + {json.dumps(message, ensure_ascii=False)}, "color: #3b82f6;");
|
||
}})();
|
||
"""
|
||
await __event_call__({"type": "execute", "data": {"code": js_code}})
|
||
except Exception as e:
|
||
logger.debug(f"[Copilot Pipe] Frontend debug log failed: {e}")
|
||
|
||
def _emit_debug_log_sync(
|
||
self, message: str, __event_call__=None, debug_enabled: Optional[bool] = None
|
||
):
|
||
"""Sync wrapper for debug logging."""
|
||
should_log = (
|
||
debug_enabled
|
||
if debug_enabled is not None
|
||
else getattr(self.valves, "DEBUG", False)
|
||
)
|
||
if not should_log:
|
||
return
|
||
|
||
try:
|
||
loop = asyncio.get_running_loop()
|
||
loop.create_task(
|
||
self._emit_debug_log(message, __event_call__, debug_enabled=True)
|
||
)
|
||
except RuntimeError:
|
||
logger.debug(f"[Copilot Pipe] {message}")
|
||
|
||
def _extract_text_from_content(self, content) -> str:
|
||
"""Extract text content from various message content formats."""
|
||
if isinstance(content, str):
|
||
return content
|
||
elif isinstance(content, list):
|
||
text_parts = []
|
||
for item in content:
|
||
if isinstance(item, dict) and item.get("type") == "text":
|
||
text_parts.append(item.get("text", ""))
|
||
return " ".join(text_parts)
|
||
return ""
|
||
|
||
def _apply_formatting_hint(self, prompt: str) -> str:
|
||
"""Return the prompt as-is (formatting hints removed)."""
|
||
return prompt
|
||
|
||
def _dedupe_preserve_order(self, items: List[str]) -> List[str]:
|
||
"""Deduplicate while preserving order."""
|
||
seen = set()
|
||
result = []
|
||
for item in items:
|
||
if not item or item in seen:
|
||
continue
|
||
seen.add(item)
|
||
result.append(item)
|
||
return result
|
||
|
||
def _strip_model_prefix(self, model_id: str) -> str:
|
||
"""Sequential prefix stripping: OpenWebUI plugin ID then internal pipe prefix."""
|
||
if not model_id:
|
||
return ""
|
||
|
||
res = model_id
|
||
# 1. Strip OpenWebUI plugin prefix (e.g. 'github_copilot_sdk.copilot-gpt-4o' -> 'copilot-gpt-4o')
|
||
if "." in res:
|
||
res = res.split(".", 1)[-1]
|
||
|
||
# 2. Strip our own internal prefix (e.g. 'copilot-gpt-4o' -> 'gpt-4o')
|
||
internal_prefix = f"{self.id}-"
|
||
if res.startswith(internal_prefix):
|
||
res = res[len(internal_prefix) :]
|
||
|
||
# 3. Handle legacy/variant dash-based prefix
|
||
if res.startswith("copilot - "):
|
||
res = res[10:]
|
||
|
||
return res
|
||
|
||
def _collect_model_ids(
|
||
self, body: dict, request_model: str, real_model_id: str
|
||
) -> List[str]:
|
||
"""Collect possible model IDs from request/metadata/body params."""
|
||
model_ids: List[str] = []
|
||
if request_model:
|
||
model_ids.append(request_model)
|
||
stripped = self._strip_model_prefix(request_model)
|
||
if stripped != request_model:
|
||
model_ids.append(stripped)
|
||
if real_model_id:
|
||
model_ids.append(real_model_id)
|
||
|
||
metadata = body.get("metadata", {})
|
||
if isinstance(metadata, dict):
|
||
meta_model = metadata.get("model")
|
||
meta_model_id = metadata.get("model_id")
|
||
if isinstance(meta_model, str):
|
||
model_ids.append(meta_model)
|
||
if isinstance(meta_model_id, str):
|
||
model_ids.append(meta_model_id)
|
||
|
||
body_params = body.get("params", {})
|
||
if isinstance(body_params, dict):
|
||
for key in ("model", "model_id", "modelId"):
|
||
val = body_params.get(key)
|
||
if isinstance(val, str):
|
||
model_ids.append(val)
|
||
|
||
return self._dedupe_preserve_order(model_ids)
|
||
|
||
async def _extract_system_prompt(
|
||
self,
|
||
body: dict,
|
||
messages: List[dict],
|
||
request_model: str,
|
||
real_model_id: str,
|
||
__event_call__=None,
|
||
debug_enabled: bool = False,
|
||
) -> Tuple[Optional[str], str]:
|
||
"""Extract system prompt from metadata/model DB/body/messages."""
|
||
system_prompt_content: Optional[str] = None
|
||
system_prompt_source = ""
|
||
|
||
# 0) body.get("system_prompt") - Explicit Override (Highest Priority)
|
||
if hasattr(body, "get") and body.get("system_prompt"):
|
||
system_prompt_content = body.get("system_prompt")
|
||
system_prompt_source = "body_explicit_system_prompt"
|
||
await self._emit_debug_log(
|
||
f"Extracted system prompt from explicit body field (length: {len(system_prompt_content)})",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
# 1) metadata.model.params.system
|
||
if not system_prompt_content:
|
||
metadata = body.get("metadata", {})
|
||
if isinstance(metadata, dict):
|
||
meta_model = metadata.get("model")
|
||
if isinstance(meta_model, dict):
|
||
meta_params = meta_model.get("params")
|
||
if isinstance(meta_params, dict) and meta_params.get("system"):
|
||
system_prompt_content = meta_params.get("system")
|
||
system_prompt_source = "metadata.model.params"
|
||
await self._emit_debug_log(
|
||
f"Extracted system prompt from metadata.model.params (length: {len(system_prompt_content)})",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
# 2) model DB lookup
|
||
if not system_prompt_content:
|
||
try:
|
||
from open_webui.models.models import Models
|
||
|
||
model_ids_to_try = self._collect_model_ids(
|
||
body, request_model, real_model_id
|
||
)
|
||
await self._emit_debug_log(
|
||
f"Checking system prompt for models: {model_ids_to_try}",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
for mid in model_ids_to_try:
|
||
model_record = Models.get_model_by_id(mid)
|
||
if model_record:
|
||
await self._emit_debug_log(
|
||
f"Checking Model DB for: {mid} (Record found: {model_record.id if hasattr(model_record, 'id') else 'Yes'})",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
if hasattr(model_record, "params"):
|
||
params = model_record.params
|
||
if isinstance(params, dict):
|
||
system_prompt_content = params.get("system")
|
||
if system_prompt_content:
|
||
system_prompt_source = f"model_db:{mid}"
|
||
await self._emit_debug_log(
|
||
f"Success! Extracted system prompt from model DB using ID: {mid} (length: {len(system_prompt_content)})",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
break
|
||
except Exception as e:
|
||
await self._emit_debug_log(
|
||
f"Failed to extract system prompt from model DB: {e}",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
# 3) body.params.system
|
||
if not system_prompt_content:
|
||
body_params = body.get("params", {})
|
||
if isinstance(body_params, dict):
|
||
system_prompt_content = body_params.get("system")
|
||
if system_prompt_content:
|
||
system_prompt_source = "body_params"
|
||
await self._emit_debug_log(
|
||
f"Extracted system prompt from body.params.system (length: {len(system_prompt_content)})",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
# 4) messages (role=system) - Last found wins or First found wins?
|
||
# Typically OpenWebUI puts the active system prompt as the FIRST message.
|
||
if not system_prompt_content:
|
||
for msg in messages:
|
||
if msg.get("role") == "system":
|
||
system_prompt_content = self._extract_text_from_content(
|
||
msg.get("content", "")
|
||
)
|
||
if system_prompt_content:
|
||
system_prompt_source = "messages_system"
|
||
await self._emit_debug_log(
|
||
f"Extracted system prompt from messages (reverse search) (length: {len(system_prompt_content)})",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
break
|
||
|
||
return system_prompt_content, system_prompt_source
|
||
|
||
def _get_workspace_dir(self, user_id: str = None, chat_id: str = None) -> str:
|
||
"""Get the effective workspace directory with user and chat isolation."""
|
||
# Fixed base directory for OpenWebUI container
|
||
if os.path.exists("/app/backend/data"):
|
||
base_cwd = "/app/backend/data/copilot_workspace"
|
||
else:
|
||
# Local fallback for development environment
|
||
base_cwd = os.path.join(os.getcwd(), "copilot_workspace")
|
||
|
||
cwd = base_cwd
|
||
if user_id:
|
||
# Sanitize user_id to prevent path traversal
|
||
safe_user_id = re.sub(r"[^a-zA-Z0-9_-]", "_", str(user_id))
|
||
cwd = os.path.join(cwd, safe_user_id)
|
||
if chat_id:
|
||
# Sanitize chat_id
|
||
safe_chat_id = re.sub(r"[^a-zA-Z0-9_-]", "_", str(chat_id))
|
||
cwd = os.path.join(cwd, safe_chat_id)
|
||
|
||
# Ensure directory exists
|
||
if not os.path.exists(cwd):
|
||
try:
|
||
os.makedirs(cwd, exist_ok=True)
|
||
except Exception as e:
|
||
logger.error(f"Error creating workspace {cwd}: {e}")
|
||
return base_cwd
|
||
|
||
return cwd
|
||
|
||
def _build_client_config(
|
||
self, body: dict, user_id: str = None, chat_id: str = None
|
||
) -> dict:
|
||
"""Build CopilotClient config from valves and request body."""
|
||
cwd = self._get_workspace_dir(user_id=user_id, chat_id=chat_id)
|
||
client_config = {}
|
||
if os.environ.get("COPILOT_CLI_PATH"):
|
||
client_config["cli_path"] = os.environ["COPILOT_CLI_PATH"]
|
||
client_config["cwd"] = cwd
|
||
|
||
if self.valves.LOG_LEVEL:
|
||
client_config["log_level"] = self.valves.LOG_LEVEL
|
||
|
||
if self.valves.LOG_LEVEL:
|
||
client_config["log_level"] = self.valves.LOG_LEVEL
|
||
|
||
if self.valves.CUSTOM_ENV_VARS:
|
||
try:
|
||
custom_env = json.loads(self.valves.CUSTOM_ENV_VARS)
|
||
if isinstance(custom_env, dict):
|
||
client_config["env"] = custom_env
|
||
except:
|
||
pass
|
||
|
||
return client_config
|
||
|
||
def _build_session_config(
|
||
self,
|
||
chat_id: Optional[str],
|
||
real_model_id: str,
|
||
custom_tools: List[Any],
|
||
system_prompt_content: Optional[str],
|
||
is_streaming: bool,
|
||
provider_config: Optional[dict] = None,
|
||
reasoning_effort: str = "medium",
|
||
is_reas_model: bool = False,
|
||
is_admin: bool = False,
|
||
user_id: str = None,
|
||
enable_mcp: bool = True,
|
||
enable_cache: bool = True,
|
||
__event_call__=None,
|
||
):
|
||
"""Build SessionConfig for Copilot SDK."""
|
||
from copilot.types import SessionConfig, InfiniteSessionConfig
|
||
|
||
infinite_session_config = None
|
||
if self.valves.INFINITE_SESSION:
|
||
infinite_session_config = InfiniteSessionConfig(
|
||
enabled=True,
|
||
background_compaction_threshold=self.valves.COMPACTION_THRESHOLD,
|
||
buffer_exhaustion_threshold=self.valves.BUFFER_THRESHOLD,
|
||
)
|
||
|
||
# Prepare the combined system message content
|
||
system_parts = []
|
||
if system_prompt_content:
|
||
system_parts.append(system_prompt_content.strip())
|
||
|
||
# Calculate final path once to ensure consistency
|
||
resolved_cwd = self._get_workspace_dir(user_id=user_id, chat_id=chat_id)
|
||
|
||
# Inject explicit path context
|
||
path_context = (
|
||
f"\n[Session Context]\n"
|
||
f"- **Your Isolated Workspace**: `{resolved_cwd}`\n"
|
||
f"- **Active User ID**: `{user_id}`\n"
|
||
f"- **Active Chat ID**: `{chat_id}`\n"
|
||
"**CRITICAL INSTRUCTION**: You MUST use the above workspace for ALL file operations.\n"
|
||
"- DO NOT create files in `/tmp` or any other system directories.\n"
|
||
"- Always interpret 'current directory' as your Isolated Workspace."
|
||
)
|
||
system_parts.append(path_context)
|
||
|
||
system_parts.append(BASE_GUIDELINES)
|
||
if is_admin:
|
||
system_parts.append(ADMIN_EXTENSIONS)
|
||
else:
|
||
system_parts.append(USER_RESTRICTIONS)
|
||
|
||
final_system_msg = "\n".join(system_parts)
|
||
|
||
# Design Choice: ALWAYS use 'replace' mode to ensure full control and avoid duplicates.
|
||
system_message_config = {
|
||
"mode": "replace",
|
||
"content": final_system_msg,
|
||
}
|
||
|
||
mcp_servers = self._parse_mcp_servers(
|
||
__event_call__, enable_mcp=enable_mcp, enable_cache=enable_cache
|
||
)
|
||
|
||
# Prepare session config parameters
|
||
session_params = {
|
||
"session_id": chat_id if chat_id else None,
|
||
"model": real_model_id,
|
||
"streaming": is_streaming,
|
||
"tools": custom_tools,
|
||
"system_message": system_message_config,
|
||
"infinite_sessions": infinite_session_config,
|
||
"working_directory": resolved_cwd,
|
||
}
|
||
|
||
if is_reas_model and reasoning_effort:
|
||
# Map requested effort to supported efforts if possible
|
||
m = next(
|
||
(
|
||
m
|
||
for m in (self._model_cache or [])
|
||
if m.get("raw_id") == real_model_id
|
||
),
|
||
None,
|
||
)
|
||
supp = (
|
||
m.get("meta", {})
|
||
.get("capabilities", {})
|
||
.get("supported_reasoning_efforts", [])
|
||
if m
|
||
else []
|
||
)
|
||
s_supp = [str(e).lower() for e in supp]
|
||
if s_supp:
|
||
session_params["reasoning_effort"] = (
|
||
reasoning_effort
|
||
if reasoning_effort.lower() in s_supp
|
||
else ("high" if "high" in s_supp else "medium")
|
||
)
|
||
else:
|
||
session_params["reasoning_effort"] = reasoning_effort
|
||
|
||
if mcp_servers:
|
||
session_params["mcp_servers"] = mcp_servers
|
||
# Critical Fix: When using MCP, available_tools must be None to allow dynamic discovery
|
||
session_params["available_tools"] = None
|
||
else:
|
||
session_params["available_tools"] = (
|
||
[t.name for t in custom_tools] if custom_tools else None
|
||
)
|
||
|
||
if provider_config:
|
||
session_params["provider"] = provider_config
|
||
|
||
# Inject hooks for automatic large file handling
|
||
session_params["hooks"] = self._build_session_hooks(
|
||
cwd=resolved_cwd, __event_call__=__event_call__
|
||
)
|
||
|
||
return SessionConfig(**session_params)
|
||
|
||
def _build_session_hooks(self, cwd: str, __event_call__=None):
|
||
"""
|
||
Build session lifecycle hooks.
|
||
Currently implements:
|
||
- on_post_tool_use: Auto-copy large files from /tmp to workspace
|
||
"""
|
||
|
||
async def on_post_tool_use(input_data, invocation):
|
||
result = input_data.get("result", "")
|
||
tool_name = input_data.get("toolName", "")
|
||
|
||
# Logic to detect and move large files saved to /tmp
|
||
# Pattern: Saved to: /tmp/copilot_result_xxxx.txt
|
||
import re
|
||
import shutil
|
||
|
||
# We search for potential /tmp file paths in the output
|
||
# Common patterns from CLI: "Saved to: /tmp/..." or just "/tmp/..."
|
||
match = re.search(r"(/tmp/[\w\-\.]+)", str(result))
|
||
if match:
|
||
tmp_path = match.group(1)
|
||
if os.path.exists(tmp_path):
|
||
try:
|
||
filename = os.path.basename(tmp_path)
|
||
target_path = os.path.join(cwd, f"auto_output_{filename}")
|
||
shutil.copy2(tmp_path, target_path)
|
||
|
||
self._emit_debug_log_sync(
|
||
f"Hook [on_post_tool_use]: Auto-moved large output from {tmp_path} to {target_path}",
|
||
__event_call__,
|
||
)
|
||
|
||
return {
|
||
"additionalContext": (
|
||
f"\n[SYSTEM AUTO-MANAGEMENT] The output was large and originally saved to {tmp_path}. "
|
||
f"I have automatically moved it to your workspace as: `{os.path.basename(target_path)}`. "
|
||
f"You should now use `read_file` or `grep` on this file to access the content."
|
||
)
|
||
}
|
||
except Exception as e:
|
||
self._emit_debug_log_sync(
|
||
f"Hook [on_post_tool_use] Error moving file: {e}",
|
||
__event_call__,
|
||
)
|
||
|
||
return {}
|
||
|
||
return {
|
||
"on_post_tool_use": on_post_tool_use,
|
||
}
|
||
|
||
def _get_chat_context(
|
||
self,
|
||
body: dict,
|
||
__metadata__: Optional[dict] = None,
|
||
__event_call__=None,
|
||
debug_enabled: bool = False,
|
||
) -> Dict[str, str]:
|
||
"""
|
||
Highly reliable chat context extraction logic.
|
||
Priority: __metadata__ > body['chat_id'] > body['metadata']['chat_id']
|
||
"""
|
||
chat_id = ""
|
||
source = "none"
|
||
|
||
# 1. Prioritize __metadata__ (most reliable source injected by OpenWebUI)
|
||
if __metadata__ and isinstance(__metadata__, dict):
|
||
chat_id = __metadata__.get("chat_id", "")
|
||
if chat_id:
|
||
source = "__metadata__"
|
||
|
||
# 2. Then try body root
|
||
if not chat_id and isinstance(body, dict):
|
||
chat_id = body.get("chat_id", "")
|
||
if chat_id:
|
||
source = "body_root"
|
||
|
||
# 3. Finally try body.metadata
|
||
if not chat_id and isinstance(body, dict):
|
||
body_metadata = body.get("metadata", {})
|
||
if isinstance(body_metadata, dict):
|
||
chat_id = body_metadata.get("chat_id", "")
|
||
if chat_id:
|
||
source = "body_metadata"
|
||
|
||
# Debug: Log ID source
|
||
if chat_id:
|
||
self._emit_debug_log_sync(
|
||
f"Extracted ChatID: {chat_id} (Source: {source})",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
else:
|
||
# If still not found, log body keys for troubleshooting
|
||
keys = list(body.keys()) if isinstance(body, dict) else "not a dict"
|
||
self._emit_debug_log_sync(
|
||
f"Warning: Failed to extract ChatID. Body keys: {keys}",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
return {
|
||
"chat_id": str(chat_id).strip(),
|
||
}
|
||
|
||
async def _fetch_byok_models(self, uv: "Pipe.UserValves" = None) -> List[dict]:
|
||
"""Fetch BYOK models from configured provider."""
|
||
model_list = []
|
||
|
||
# Resolve effective settings (User > Global)
|
||
# Note: We handle the case where uv might be None
|
||
effective_base_url = (
|
||
uv.BYOK_BASE_URL if uv else ""
|
||
) or self.valves.BYOK_BASE_URL
|
||
effective_type = (uv.BYOK_TYPE if uv else "") or self.valves.BYOK_TYPE
|
||
effective_api_key = (uv.BYOK_API_KEY if uv else "") or self.valves.BYOK_API_KEY
|
||
effective_bearer_token = (
|
||
uv.BYOK_BEARER_TOKEN if uv else ""
|
||
) or self.valves.BYOK_BEARER_TOKEN
|
||
effective_models = (uv.BYOK_MODELS if uv else "") or self.valves.BYOK_MODELS
|
||
|
||
if effective_base_url:
|
||
try:
|
||
base_url = effective_base_url.rstrip("/")
|
||
url = f"{base_url}/models"
|
||
headers = {}
|
||
provider_type = effective_type.lower()
|
||
|
||
if provider_type == "anthropic":
|
||
if effective_api_key:
|
||
headers["x-api-key"] = effective_api_key
|
||
headers["anthropic-version"] = "2023-06-01"
|
||
else:
|
||
if effective_bearer_token:
|
||
headers["Authorization"] = f"Bearer {effective_bearer_token}"
|
||
elif effective_api_key:
|
||
headers["Authorization"] = f"Bearer {effective_api_key}"
|
||
|
||
timeout = aiohttp.ClientTimeout(total=60)
|
||
async with aiohttp.ClientSession(timeout=timeout) as session:
|
||
for attempt in range(3):
|
||
try:
|
||
async with session.get(url, headers=headers) as resp:
|
||
if resp.status == 200:
|
||
data = await resp.json()
|
||
if (
|
||
isinstance(data, dict)
|
||
and "data" in data
|
||
and isinstance(data["data"], list)
|
||
):
|
||
for item in data["data"]:
|
||
if isinstance(item, dict) and "id" in item:
|
||
model_list.append(item["id"])
|
||
elif isinstance(data, list):
|
||
for item in data:
|
||
if isinstance(item, dict) and "id" in item:
|
||
model_list.append(item["id"])
|
||
|
||
await self._emit_debug_log(
|
||
f"BYOK: Fetched {len(model_list)} models from {url}"
|
||
)
|
||
break
|
||
else:
|
||
await self._emit_debug_log(
|
||
f"BYOK: Failed to fetch models from {url} (Attempt {attempt+1}/3). Status: {resp.status}"
|
||
)
|
||
except Exception as e:
|
||
await self._emit_debug_log(
|
||
f"BYOK: Model fetch error (Attempt {attempt+1}/3): {e}"
|
||
)
|
||
|
||
if attempt < 2:
|
||
await asyncio.sleep(1)
|
||
except Exception as e:
|
||
await self._emit_debug_log(f"BYOK: Setup error: {e}")
|
||
|
||
# Fallback to configured list or defaults
|
||
if not model_list:
|
||
if effective_models.strip():
|
||
model_list = [
|
||
m.strip() for m in effective_models.split(",") if m.strip()
|
||
]
|
||
await self._emit_debug_log(
|
||
f"BYOK: Using user-configured BYOK_MODELS ({len(model_list)} models)."
|
||
)
|
||
|
||
return [
|
||
{
|
||
"id": m,
|
||
"name": f"-{self._clean_model_id(m)}",
|
||
"source": "byok",
|
||
"raw_id": m,
|
||
}
|
||
for m in model_list
|
||
]
|
||
|
||
def _clean_model_id(self, model_id: str) -> str:
|
||
"""Remove copilot prefixes from model ID."""
|
||
if model_id.startswith("copilot-"):
|
||
return model_id[8:]
|
||
elif model_id.startswith("copilot - "):
|
||
return model_id[10:]
|
||
return model_id
|
||
|
||
def _get_provider_name(self, m_info: Any) -> str:
|
||
"""Identify provider from model metadata."""
|
||
m_id = getattr(m_info, "id", str(m_info)).lower()
|
||
if any(k in m_id for k in ["gpt", "codex"]):
|
||
return "OpenAI"
|
||
if "claude" in m_id:
|
||
return "Anthropic"
|
||
if "gemini" in m_id:
|
||
return "Google"
|
||
p = getattr(m_info, "policy", None)
|
||
if p:
|
||
t = str(getattr(p, "terms", "")).lower()
|
||
if "openai" in t:
|
||
return "OpenAI"
|
||
if "anthropic" in t:
|
||
return "Anthropic"
|
||
if "google" in t:
|
||
return "Google"
|
||
return "Unknown"
|
||
|
||
def _get_user_valves(self, __user__: Optional[dict]) -> "Pipe.UserValves":
|
||
"""Robustly extract UserValves from __user__ context."""
|
||
if not __user__:
|
||
return self.UserValves()
|
||
|
||
# Handle list/tuple wrap
|
||
user_data = __user__[0] if isinstance(__user__, (list, tuple)) else __user__
|
||
if not isinstance(user_data, dict):
|
||
return self.UserValves()
|
||
|
||
raw_valves = user_data.get("valves")
|
||
if isinstance(raw_valves, self.UserValves):
|
||
return raw_valves
|
||
if isinstance(raw_valves, dict):
|
||
try:
|
||
return self.UserValves(**raw_valves)
|
||
except Exception as e:
|
||
logger.warning(f"[Copilot] Failed to parse UserValves: {e}")
|
||
return self.UserValves()
|
||
|
||
async def pipes(self, __user__: Optional[dict] = None) -> List[dict]:
|
||
"""Dynamically fetch and filter model list."""
|
||
if self.valves.DEBUG:
|
||
logger.info(f"[Pipes] Called with user context: {bool(__user__)}")
|
||
|
||
uv = self._get_user_valves(__user__)
|
||
token = uv.GH_TOKEN
|
||
|
||
# Determine check interval (24 hours default)
|
||
now = datetime.now().timestamp()
|
||
needs_setup = not self.__class__._env_setup_done or (
|
||
now - self.__class__._last_update_check > 86400
|
||
)
|
||
|
||
# 1. Environment Setup (Only if needed or not done)
|
||
if needs_setup:
|
||
self._setup_env(token=token, skip_cli_install=True)
|
||
self.__class__._last_update_check = now
|
||
else:
|
||
# Still inject token for BYOK real-time updates
|
||
if token:
|
||
os.environ["GH_TOKEN"] = os.environ["GITHUB_TOKEN"] = token
|
||
|
||
# Get user info for isolation
|
||
user_data = (
|
||
__user__[0] if isinstance(__user__, (list, tuple)) else (__user__ or {})
|
||
)
|
||
user_id = user_data.get("id") or user_data.get("user_id") or "default_user"
|
||
|
||
token = uv.GH_TOKEN or self.valves.GH_TOKEN
|
||
|
||
# Multiplier filtering: User can constrain, but not exceed global limit
|
||
global_max = self.valves.MAX_MULTIPLIER
|
||
user_max = uv.MAX_MULTIPLIER
|
||
if user_max is not None:
|
||
eff_max = min(float(user_max), float(global_max))
|
||
else:
|
||
eff_max = float(global_max)
|
||
|
||
if self.valves.DEBUG:
|
||
logger.info(
|
||
f"[Pipes] Multiplier Filter: User={user_max}, Global={global_max}, Effective={eff_max}"
|
||
)
|
||
|
||
# Keyword filtering: combine global and user keywords
|
||
ex_kw = [
|
||
k.strip().lower()
|
||
for k in (self.valves.EXCLUDE_KEYWORDS + "," + uv.EXCLUDE_KEYWORDS).split(
|
||
","
|
||
)
|
||
if k.strip()
|
||
]
|
||
|
||
# --- NEW: CONFIG-AWARE CACHE INVALIDATION ---
|
||
# Calculate current config fingerprint to detect changes
|
||
current_config_str = f"{token}|{uv.BYOK_BASE_URL or self.valves.BYOK_BASE_URL}|{uv.BYOK_API_KEY or self.valves.BYOK_API_KEY}|{self.valves.BYOK_BEARER_TOKEN}"
|
||
current_config_hash = hashlib.md5(current_config_str.encode()).hexdigest()
|
||
|
||
if (
|
||
self._model_cache
|
||
and self.__class__._last_byok_config_hash != current_config_hash
|
||
):
|
||
if self.valves.DEBUG:
|
||
logger.info(
|
||
f"[Pipes] Configuration change detected. Invalidating model cache."
|
||
)
|
||
self.__class__._model_cache = []
|
||
self.__class__._last_byok_config_hash = current_config_hash
|
||
|
||
if not self._model_cache:
|
||
# Update the hash when we refresh the cache
|
||
self.__class__._last_byok_config_hash = current_config_hash
|
||
if self.valves.DEBUG:
|
||
logger.info("[Pipes] Refreshing model cache...")
|
||
try:
|
||
# Use effective token for fetching
|
||
self._setup_env(token=token, skip_cli_install=True)
|
||
|
||
# Fetch BYOK models if configured
|
||
byok = []
|
||
effective_base_url = uv.BYOK_BASE_URL or self.valves.BYOK_BASE_URL
|
||
if effective_base_url and (
|
||
uv.BYOK_API_KEY
|
||
or self.valves.BYOK_API_KEY
|
||
or uv.BYOK_BEARER_TOKEN
|
||
or self.valves.BYOK_BEARER_TOKEN
|
||
):
|
||
byok = await self._fetch_byok_models(uv=uv)
|
||
|
||
standard = []
|
||
cli_path = os.environ.get("COPILOT_CLI_PATH", "")
|
||
cli_ready = bool(cli_path and os.path.exists(cli_path))
|
||
if token and cli_ready:
|
||
client_config = {
|
||
"cli_path": cli_path,
|
||
"cwd": self._get_workspace_dir(
|
||
user_id=user_id, chat_id="listing"
|
||
),
|
||
}
|
||
c = CopilotClient(client_config)
|
||
try:
|
||
await c.start()
|
||
raw = await c.list_models()
|
||
for m in raw if isinstance(raw, list) else []:
|
||
try:
|
||
mid = (
|
||
m.get("id")
|
||
if isinstance(m, dict)
|
||
else getattr(m, "id", "")
|
||
)
|
||
if not mid:
|
||
continue
|
||
|
||
# Extract multiplier
|
||
bill = (
|
||
m.get("billing")
|
||
if isinstance(m, dict)
|
||
else getattr(m, "billing", {})
|
||
)
|
||
if hasattr(bill, "to_dict"):
|
||
bill = bill.to_dict()
|
||
mult = (
|
||
float(bill.get("multiplier", 1))
|
||
if isinstance(bill, dict)
|
||
else 1.0
|
||
)
|
||
|
||
cid = self._clean_model_id(mid)
|
||
standard.append(
|
||
{
|
||
"id": f"{self.id}-{mid}",
|
||
"name": (
|
||
f"-{cid} ({mult}x)"
|
||
if mult > 0
|
||
else f"-🔥 {cid} (0x)"
|
||
),
|
||
"multiplier": mult,
|
||
"raw_id": mid,
|
||
"source": "copilot",
|
||
"provider": self._get_provider_name(m),
|
||
}
|
||
)
|
||
except:
|
||
pass
|
||
standard.sort(key=lambda x: (x["multiplier"], x["raw_id"]))
|
||
self._standard_model_ids = {m["raw_id"] for m in standard}
|
||
except Exception as e:
|
||
logger.error(f"[Pipes] Error listing models: {e}")
|
||
finally:
|
||
await c.stop()
|
||
elif token and self.valves.DEBUG:
|
||
logger.info(
|
||
"[Pipes] Copilot CLI not ready during listing. Skip standard model probe to avoid blocking startup."
|
||
)
|
||
|
||
self._model_cache = standard + byok
|
||
if not self._model_cache:
|
||
return [
|
||
{
|
||
"id": "warming_up",
|
||
"name": "Copilot CLI is preparing in background. Please retry in a moment.",
|
||
}
|
||
]
|
||
except Exception as e:
|
||
return [{"id": "error", "name": f"Error: {e}"}]
|
||
|
||
# Final pass filtering from cache (applied on every request)
|
||
res = []
|
||
# Use a small epsilon for float comparison to avoid precision issues (e.g. 0.33 vs 0.33000001)
|
||
epsilon = 0.0001
|
||
|
||
for m in self._model_cache:
|
||
# 1. Keyword filter
|
||
mid = (m.get("raw_id") or m.get("id", "")).lower()
|
||
mname = m.get("name", "").lower()
|
||
if any(kw in mid or kw in mname for kw in ex_kw):
|
||
continue
|
||
|
||
# 2. Multiplier filter (only for standard Copilot models)
|
||
if m.get("source") == "copilot":
|
||
m_mult = float(m.get("multiplier", 0))
|
||
if m_mult > (eff_max + epsilon):
|
||
if self.valves.DEBUG:
|
||
logger.debug(
|
||
f"[Pipes] Filtered {m.get('id')} (Mult: {m_mult} > {eff_max})"
|
||
)
|
||
continue
|
||
|
||
res.append(m)
|
||
|
||
return res if res else [{"id": "none", "name": "No models matched filters"}]
|
||
|
||
async def _get_client(self):
|
||
"""Helper to get or create a CopilotClient instance."""
|
||
client_config = {}
|
||
if os.environ.get("COPILOT_CLI_PATH"):
|
||
client_config["cli_path"] = os.environ["COPILOT_CLI_PATH"]
|
||
|
||
client = CopilotClient(client_config)
|
||
await client.start()
|
||
return client
|
||
|
||
def _setup_env(
|
||
self,
|
||
__event_call__=None,
|
||
debug_enabled: bool = False,
|
||
token: str = None,
|
||
enable_mcp: bool = True,
|
||
enable_cache: bool = True,
|
||
skip_cli_install: bool = False, # Kept for call-site compatibility, no longer used
|
||
__event_emitter__=None,
|
||
user_lang: str = "en-US",
|
||
):
|
||
"""Setup environment variables and resolve Copilot CLI path from SDK bundle."""
|
||
|
||
# 1. Real-time Token Injection (Always updates on each call)
|
||
effective_token = token or self.valves.GH_TOKEN
|
||
if effective_token:
|
||
os.environ["GH_TOKEN"] = os.environ["GITHUB_TOKEN"] = effective_token
|
||
|
||
if self._env_setup_done:
|
||
if debug_enabled:
|
||
self._sync_mcp_config(
|
||
__event_call__,
|
||
debug_enabled,
|
||
enable_mcp=enable_mcp,
|
||
enable_cache=enable_cache,
|
||
)
|
||
return
|
||
|
||
os.environ["COPILOT_AUTO_UPDATE"] = "false"
|
||
|
||
# 2. CLI Path Discovery (priority: env var > PATH > SDK bundle)
|
||
cli_path = os.environ.get("COPILOT_CLI_PATH", "")
|
||
found = bool(cli_path and os.path.exists(cli_path))
|
||
|
||
if not found:
|
||
sys_path = shutil.which("copilot")
|
||
if sys_path:
|
||
cli_path = sys_path
|
||
found = True
|
||
|
||
if not found:
|
||
try:
|
||
from copilot.client import _get_bundled_cli_path
|
||
|
||
bundled_path = _get_bundled_cli_path()
|
||
if bundled_path and os.path.exists(bundled_path):
|
||
cli_path = bundled_path
|
||
found = True
|
||
except ImportError:
|
||
pass
|
||
|
||
# 3. Finalize
|
||
cli_ready = found
|
||
if cli_ready:
|
||
os.environ["COPILOT_CLI_PATH"] = cli_path
|
||
# Add the CLI's parent directory to PATH so subprocesses can invoke `copilot` directly
|
||
cli_bin_dir = os.path.dirname(cli_path)
|
||
current_path = os.environ.get("PATH", "")
|
||
if cli_bin_dir and cli_bin_dir not in current_path.split(os.pathsep):
|
||
os.environ["PATH"] = cli_bin_dir + os.pathsep + current_path
|
||
|
||
self.__class__._env_setup_done = cli_ready
|
||
self.__class__._last_update_check = datetime.now().timestamp()
|
||
|
||
self._emit_debug_log_sync(
|
||
f"Environment setup complete. CLI ready={cli_ready}. Path: {cli_path}",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
def _process_attachments(
|
||
self,
|
||
messages,
|
||
cwd=None,
|
||
files=None,
|
||
__event_call__=None,
|
||
debug_enabled: bool = False,
|
||
):
|
||
attachments = []
|
||
text_content = ""
|
||
saved_files_info = []
|
||
|
||
# 1. Process OpenWebUI Uploaded Files (body['files'])
|
||
if files and cwd:
|
||
for file_item in files:
|
||
try:
|
||
# Adapt to different file structures
|
||
file_obj = file_item.get("file", file_item)
|
||
file_id = file_obj.get("id")
|
||
filename = (
|
||
file_obj.get("filename") or file_obj.get("name") or "upload.bin"
|
||
)
|
||
|
||
if file_id:
|
||
# Construct source path
|
||
src_path = os.path.join(
|
||
self.valves.OPENWEBUI_UPLOAD_PATH, f"{file_id}_{filename}"
|
||
)
|
||
|
||
if os.path.exists(src_path):
|
||
# Copy to workspace
|
||
dst_path = os.path.join(cwd, filename)
|
||
shutil.copy2(src_path, dst_path)
|
||
|
||
saved_files_info.append(
|
||
f"- User uploaded file: `{filename}` (Saved to workspace)"
|
||
)
|
||
self._emit_debug_log_sync(
|
||
f"Copied file to workspace: {dst_path}",
|
||
__event_call__,
|
||
debug_enabled,
|
||
)
|
||
else:
|
||
self._emit_debug_log_sync(
|
||
f"Source file not found: {src_path}",
|
||
__event_call__,
|
||
debug_enabled,
|
||
)
|
||
except Exception as e:
|
||
self._emit_debug_log_sync(
|
||
f"Error processing file {file_item}: {e}",
|
||
__event_call__,
|
||
debug_enabled,
|
||
)
|
||
|
||
# 2. Process Base64 Images in Messages
|
||
if not messages:
|
||
return "", []
|
||
last_msg = messages[-1]
|
||
content = last_msg.get("content", "")
|
||
|
||
if isinstance(content, list):
|
||
for item in content:
|
||
if item.get("type") == "text":
|
||
text_content += item.get("text", "")
|
||
elif item.get("type") == "image_url":
|
||
image_url = item.get("image_url", {}).get("url", "")
|
||
if image_url.startswith("data:image"):
|
||
try:
|
||
header, encoded = image_url.split(",", 1)
|
||
ext = header.split(";")[0].split("/")[-1]
|
||
file_name = f"image_{len(attachments)}.{ext}"
|
||
file_path = os.path.join(self.temp_dir, file_name)
|
||
with open(file_path, "wb") as f:
|
||
f.write(base64.b64decode(encoded))
|
||
attachments.append(
|
||
{
|
||
"type": "file",
|
||
"path": file_path,
|
||
"display_name": file_name,
|
||
}
|
||
)
|
||
self._emit_debug_log_sync(
|
||
f"Image processed: {file_path}",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
except Exception as e:
|
||
self._emit_debug_log_sync(
|
||
f"Image error: {e}",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
else:
|
||
text_content = str(content)
|
||
|
||
# Append saved files info to the text content seen by the agent
|
||
if saved_files_info:
|
||
info_block = (
|
||
"\n\n[System Notification: New Files Available]\n"
|
||
+ "\n".join(saved_files_info)
|
||
+ "\nYou can access these files directly using their filenames in your workspace."
|
||
)
|
||
text_content += info_block
|
||
|
||
return text_content, attachments
|
||
|
||
def _sync_copilot_config(
|
||
self, reasoning_effort: str, __event_call__=None, debug_enabled: bool = False
|
||
):
|
||
"""
|
||
Dynamically update ~/.copilot/config.json if REASONING_EFFORT is set.
|
||
This provides a fallback if API injection is ignored by the server.
|
||
"""
|
||
if not reasoning_effort:
|
||
return
|
||
|
||
effort = reasoning_effort
|
||
|
||
try:
|
||
# Target standard path ~/.copilot/config.json
|
||
config_path = os.path.expanduser("~/.copilot/config.json")
|
||
config_dir = os.path.dirname(config_path)
|
||
|
||
# Only proceed if directory exists (avoid creating trash types of files if path is wrong)
|
||
if not os.path.exists(config_dir):
|
||
return
|
||
|
||
data = {}
|
||
# Read existing config
|
||
if os.path.exists(config_path):
|
||
try:
|
||
with open(config_path, "r") as f:
|
||
data = json.load(f)
|
||
except Exception:
|
||
data = {}
|
||
|
||
# Update if changed
|
||
current_val = data.get("reasoning_effort")
|
||
if current_val != effort:
|
||
data["reasoning_effort"] = effort
|
||
try:
|
||
with open(config_path, "w") as f:
|
||
json.dump(data, f, indent=4)
|
||
|
||
self._emit_debug_log_sync(
|
||
f"Dynamically updated ~/.copilot/config.json: reasoning_effort='{effort}'",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
except Exception as e:
|
||
self._emit_debug_log_sync(
|
||
f"Failed to write config.json: {e}",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
except Exception as e:
|
||
self._emit_debug_log_sync(
|
||
f"Config sync check failed: {e}",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
def _sync_mcp_config(
|
||
self,
|
||
__event_call__=None,
|
||
debug_enabled: bool = False,
|
||
enable_mcp: bool = True,
|
||
enable_cache: bool = True,
|
||
):
|
||
"""Sync MCP configuration to ~/.copilot/config.json."""
|
||
path = os.path.expanduser("~/.copilot/config.json")
|
||
|
||
# If disabled, we should ensure the config doesn't contain stale MCP info
|
||
if not enable_mcp:
|
||
if os.path.exists(path):
|
||
try:
|
||
with open(path, "r") as f:
|
||
data = json.load(f)
|
||
if "mcp_servers" in data:
|
||
del data["mcp_servers"]
|
||
with open(path, "w") as f:
|
||
json.dump(data, f, indent=4)
|
||
self._emit_debug_log_sync(
|
||
"MCP disabled: Cleared MCP servers from config.json",
|
||
__event_call__,
|
||
debug_enabled,
|
||
)
|
||
except:
|
||
pass
|
||
return
|
||
|
||
mcp = self._parse_mcp_servers(
|
||
__event_call__, enable_mcp=enable_mcp, enable_cache=enable_cache
|
||
)
|
||
if not mcp:
|
||
return
|
||
try:
|
||
path = os.path.expanduser("~/.copilot/config.json")
|
||
os.makedirs(os.path.dirname(path), exist_ok=True)
|
||
data = {}
|
||
if os.path.exists(path):
|
||
try:
|
||
with open(path, "r") as f:
|
||
data = json.load(f)
|
||
except:
|
||
pass
|
||
if json.dumps(data.get("mcp_servers"), sort_keys=True) != json.dumps(
|
||
mcp, sort_keys=True
|
||
):
|
||
data["mcp_servers"] = mcp
|
||
with open(path, "w") as f:
|
||
json.dump(data, f, indent=4)
|
||
self._emit_debug_log_sync(
|
||
f"Synced {len(mcp)} MCP servers to config.json",
|
||
__event_call__,
|
||
debug_enabled,
|
||
)
|
||
except:
|
||
pass
|
||
|
||
# ==================== Internal Implementation ====================
|
||
# _pipe_impl() contains the main request handling logic.
|
||
# ================================================================
|
||
async def _pipe_impl(
|
||
self,
|
||
body: dict,
|
||
__metadata__: Optional[dict] = None,
|
||
__user__: Optional[dict] = None,
|
||
__event_emitter__=None,
|
||
__event_call__=None,
|
||
__request__=None,
|
||
) -> Union[str, AsyncGenerator]:
|
||
# --- PROBE LOG ---
|
||
if __event_call__:
|
||
await self._emit_debug_log(
|
||
f"🔔 Pipe initialized. User: {__user__.get('name') if __user__ else 'Unknown'}",
|
||
__event_call__,
|
||
debug_enabled=True,
|
||
)
|
||
# -----------------
|
||
|
||
# 1. Determine user role and settings
|
||
user_data = (
|
||
__user__[0] if isinstance(__user__, (list, tuple)) else (__user__ or {})
|
||
)
|
||
is_admin = user_data.get("role") == "admin"
|
||
|
||
# Robustly parse User Valves
|
||
user_valves = self._get_user_valves(__user__)
|
||
|
||
# --- DEBUG LOGGING ---
|
||
if self.valves.DEBUG:
|
||
logger.info(
|
||
f"[Copilot] Request received. Model: {body.get('model')}, Stream: {body.get('stream', False)}"
|
||
)
|
||
logger.info(
|
||
f"[Copilot] User Context: {bool(__user__)}, Event Call: {bool(__event_call__)}"
|
||
)
|
||
# ---------------------
|
||
|
||
user_id = user_data.get("id") or user_data.get("user_id") or "default_user"
|
||
|
||
effective_debug = self.valves.DEBUG or user_valves.DEBUG
|
||
effective_token = user_valves.GH_TOKEN or self.valves.GH_TOKEN
|
||
|
||
# Get Chat ID using improved helper
|
||
chat_ctx = self._get_chat_context(
|
||
body, __metadata__, __event_call__, debug_enabled=effective_debug
|
||
)
|
||
chat_id = chat_ctx.get("chat_id") or "default"
|
||
|
||
# Determine effective MCP and cache settings
|
||
effective_mcp = user_valves.ENABLE_MCP_SERVER
|
||
effective_cache = user_valves.ENABLE_TOOL_CACHE
|
||
|
||
user_ctx = await self._get_user_context(__user__, __event_call__, __request__)
|
||
user_lang = user_ctx["user_language"]
|
||
|
||
# 2. Setup environment with effective settings
|
||
self._setup_env(
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
token=effective_token,
|
||
enable_mcp=effective_mcp,
|
||
enable_cache=effective_cache,
|
||
__event_emitter__=__event_emitter__,
|
||
user_lang=user_lang,
|
||
)
|
||
|
||
cwd = self._get_workspace_dir(user_id=user_id, chat_id=chat_id)
|
||
await self._emit_debug_log(
|
||
f"{self._get_translation(user_lang, 'debug_agent_working_in', path=cwd)} (Admin: {is_admin}, MCP: {effective_mcp})",
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
|
||
# Determine effective BYOK settings
|
||
byok_api_key = user_valves.BYOK_API_KEY or self.valves.BYOK_API_KEY
|
||
byok_bearer_token = (
|
||
user_valves.BYOK_BEARER_TOKEN or self.valves.BYOK_BEARER_TOKEN
|
||
)
|
||
byok_base_url = user_valves.BYOK_BASE_URL or self.valves.BYOK_BASE_URL
|
||
byok_active = bool(byok_base_url and (byok_api_key or byok_bearer_token))
|
||
|
||
# Check that either GH_TOKEN or BYOK is configured
|
||
gh_token = user_valves.GH_TOKEN or self.valves.GH_TOKEN
|
||
if not gh_token and not byok_active:
|
||
return "Error: Please configure GH_TOKEN or BYOK settings in Valves."
|
||
|
||
# Parse user selected model
|
||
request_model = body.get("model", "")
|
||
real_model_id = request_model
|
||
|
||
# Determine effective reasoning effort
|
||
effective_reasoning_effort = (
|
||
user_valves.REASONING_EFFORT
|
||
if user_valves.REASONING_EFFORT
|
||
else self.valves.REASONING_EFFORT
|
||
)
|
||
|
||
# Apply SHOW_THINKING user setting (prefer user override when provided)
|
||
show_thinking = (
|
||
user_valves.SHOW_THINKING
|
||
if user_valves.SHOW_THINKING is not None
|
||
else self.valves.SHOW_THINKING
|
||
)
|
||
|
||
# 1. Determine the actual model ID to use
|
||
# Priority: __metadata__.base_model_id (for custom models/characters) > request_model
|
||
resolved_id = request_model
|
||
model_source_type = "selected"
|
||
|
||
if __metadata__ and __metadata__.get("base_model_id"):
|
||
resolved_id = __metadata__.get("base_model_id", "")
|
||
model_source_type = "base"
|
||
|
||
# 2. Strip prefixes to get the clean model ID (e.g. 'gpt-4o')
|
||
real_model_id = self._strip_model_prefix(resolved_id)
|
||
|
||
# 3. Enforce Multiplier Constraint (Safety Check)
|
||
global_max = self.valves.MAX_MULTIPLIER
|
||
user_max = user_valves.MAX_MULTIPLIER
|
||
if user_max is not None:
|
||
eff_max = min(float(user_max), float(global_max))
|
||
else:
|
||
eff_max = float(global_max)
|
||
|
||
# Try to find model info. If missing, force refresh cache.
|
||
m_info = next(
|
||
(m for m in (self._model_cache or []) if m.get("raw_id") == real_model_id),
|
||
None,
|
||
)
|
||
if not m_info:
|
||
logger.info(
|
||
f"[Pipe Impl] Model info missing for {real_model_id}, refreshing cache..."
|
||
)
|
||
await self.pipes(__user__)
|
||
m_info = next(
|
||
(
|
||
m
|
||
for m in (self._model_cache or [])
|
||
if m.get("raw_id") == real_model_id
|
||
),
|
||
None,
|
||
)
|
||
|
||
# --- DEBUG MULTIPLIER ---
|
||
if m_info:
|
||
logger.info(
|
||
f"[Pipe Impl] Model Info: ID={real_model_id}, Source={m_info.get('source')}, Mult={m_info.get('multiplier')}, EffMax={eff_max}"
|
||
)
|
||
else:
|
||
logger.warning(
|
||
f"[Pipe Impl] Model Info STILL NOT FOUND for ID: {real_model_id}. Treating as multiplier=1.0"
|
||
)
|
||
# ------------------------
|
||
|
||
# Check multiplier (If model not found, assume Copilot source and multiplier 1.0 for safety)
|
||
is_copilot_source = m_info.get("source") == "copilot" if m_info else True
|
||
current_mult = float(m_info.get("multiplier", 1.0)) if m_info else 1.0
|
||
|
||
if is_copilot_source:
|
||
epsilon = 0.0001
|
||
if current_mult > (eff_max + epsilon):
|
||
err_msg = f"Error: Model '{real_model_id}' (multiplier {current_mult}x) exceeds your allowed maximum of {eff_max}x."
|
||
await self._emit_debug_log(err_msg, __event_call__, debug_enabled=True)
|
||
return err_msg
|
||
|
||
# 4. Log the resolution result
|
||
if real_model_id != request_model:
|
||
log_msg = (
|
||
f"Using {model_source_type} model: {real_model_id} "
|
||
f"(Cleaned from '{resolved_id}')"
|
||
)
|
||
await self._emit_debug_log(
|
||
log_msg,
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
|
||
messages = body.get("messages", [])
|
||
if not messages:
|
||
return "No messages."
|
||
|
||
# Extract system prompt from multiple sources
|
||
system_prompt_content, system_prompt_source = await self._extract_system_prompt(
|
||
body,
|
||
messages,
|
||
request_model,
|
||
real_model_id,
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
|
||
if system_prompt_content:
|
||
preview = system_prompt_content[:60].replace("\n", " ")
|
||
await self._emit_debug_log(
|
||
f"Resolved system prompt source: {system_prompt_source} (length: {len(system_prompt_content) if system_prompt_content else 0})",
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
|
||
is_streaming = body.get("stream", False)
|
||
await self._emit_debug_log(
|
||
f"Streaming request: {is_streaming}",
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
|
||
# Retrieve files (support 'copilot_files' from filter override)
|
||
files = body.get("copilot_files") or body.get("files")
|
||
|
||
last_text, attachments = self._process_attachments(
|
||
messages,
|
||
cwd=cwd,
|
||
files=files,
|
||
__event_call__=__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
|
||
# 1. Determine user role and construct guidelines
|
||
user_data = (
|
||
__user__[0] if isinstance(__user__, (list, tuple)) else (__user__ or {})
|
||
)
|
||
is_admin = user_data.get("role") == "admin"
|
||
|
||
system_parts = []
|
||
if system_prompt_content:
|
||
system_parts.append(system_prompt_content.strip())
|
||
system_parts.append(BASE_GUIDELINES)
|
||
if is_admin:
|
||
system_parts.append(ADMIN_EXTENSIONS)
|
||
else:
|
||
system_parts.append(USER_RESTRICTIONS)
|
||
final_system_msg = "\n".join(system_parts)
|
||
|
||
# Determine prompt strategy
|
||
# If we have a chat_id, we try to resume session.
|
||
# If resumed, we assume the session has history, so we only send the last message.
|
||
# If new session, we send full (accumulated) messages.
|
||
|
||
# 1. Determine model capabilities and BYOK status
|
||
import re
|
||
|
||
m_info = next(
|
||
(
|
||
m
|
||
for m in (self._model_cache or [])
|
||
if m.get("raw_id") == real_model_id
|
||
or m.get("id") == real_model_id
|
||
or m.get("id") == f"{self.id}-{real_model_id}"
|
||
),
|
||
None,
|
||
)
|
||
|
||
is_reasoning = (
|
||
m_info.get("meta", {}).get("capabilities", {}).get("reasoning", False)
|
||
if m_info
|
||
else False
|
||
)
|
||
|
||
# Detection priority for BYOK
|
||
# 1. Check metadata.model.name for multiplier (Standard Copilot format)
|
||
model_display_name = body.get("metadata", {}).get("model", {}).get(
|
||
"name", ""
|
||
) or (__metadata__.get("model", {}).get("name", "") if __metadata__ else "")
|
||
has_multiplier = bool(
|
||
re.search(r"[\(（]\d+(?:\.\d+)?x[\)）]", model_display_name)
|
||
)
|
||
|
||
if m_info and "source" in m_info:
|
||
is_byok_model = m_info["source"] == "byok"
|
||
else:
|
||
is_byok_model = not has_multiplier and byok_active
|
||
|
||
await self._emit_debug_log(
|
||
f"Mode: {'BYOK' if is_byok_model else 'Standard'}, Reasoning: {is_reasoning}, Admin: {is_admin}",
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
|
||
# Ensure we have the latest config (only for standard Copilot models)
|
||
if not is_byok_model:
|
||
self._sync_copilot_config(effective_reasoning_effort, __event_call__)
|
||
|
||
# Initialize Client
|
||
client = CopilotClient(
|
||
self._build_client_config(body, user_id=user_id, chat_id=chat_id)
|
||
)
|
||
should_stop_client = True
|
||
try:
|
||
await client.start()
|
||
|
||
# Initialize custom tools (Handles caching internally)
|
||
custom_tools = await self._initialize_custom_tools(
|
||
body=body,
|
||
__user__=__user__,
|
||
__event_call__=__event_call__,
|
||
__request__=__request__,
|
||
__metadata__=__metadata__,
|
||
)
|
||
if custom_tools:
|
||
tool_names = [t.name for t in custom_tools]
|
||
await self._emit_debug_log(
|
||
f"Enabled {len(custom_tools)} tools (Custom/Built-in)",
|
||
__event_call__,
|
||
)
|
||
|
||
# Check MCP Servers
|
||
mcp_servers = self._parse_mcp_servers(
|
||
__event_call__, enable_mcp=effective_mcp, enable_cache=effective_cache
|
||
)
|
||
mcp_server_names = list(mcp_servers.keys()) if mcp_servers else []
|
||
if mcp_server_names:
|
||
await self._emit_debug_log(
|
||
f"🔌 MCP Servers Configured: {mcp_server_names}",
|
||
__event_call__,
|
||
)
|
||
else:
|
||
await self._emit_debug_log(
|
||
"ℹ️ No MCP tool servers found in OpenWebUI Connections.",
|
||
__event_call__,
|
||
)
|
||
|
||
# Create or Resume Session
|
||
session = None
|
||
is_new_session = True
|
||
|
||
# Build BYOK Provider Config
|
||
provider_config = None
|
||
|
||
if is_byok_model:
|
||
byok_type = (user_valves.BYOK_TYPE or self.valves.BYOK_TYPE).lower()
|
||
if byok_type not in ["openai", "anthropic"]:
|
||
byok_type = "openai"
|
||
|
||
byok_wire_api = user_valves.BYOK_WIRE_API or self.valves.BYOK_WIRE_API
|
||
|
||
provider_config = {
|
||
"type": byok_type,
|
||
"wire_api": byok_wire_api,
|
||
"base_url": byok_base_url,
|
||
}
|
||
if byok_api_key:
|
||
provider_config["api_key"] = byok_api_key
|
||
if byok_bearer_token:
|
||
provider_config["bearer_token"] = byok_bearer_token
|
||
pass
|
||
|
||
if chat_id:
|
||
try:
|
||
# Prepare resume config (Requires github-copilot-sdk >= 0.1.23)
|
||
resume_params = {
|
||
"model": real_model_id,
|
||
"streaming": is_streaming,
|
||
"tools": custom_tools,
|
||
}
|
||
|
||
if is_reasoning and effective_reasoning_effort:
|
||
# Re-use mapping logic or just pass it through
|
||
resume_params["reasoning_effort"] = effective_reasoning_effort
|
||
|
||
mcp_servers = self._parse_mcp_servers(
|
||
__event_call__,
|
||
enable_mcp=effective_mcp,
|
||
enable_cache=effective_cache,
|
||
)
|
||
if mcp_servers:
|
||
resume_params["mcp_servers"] = mcp_servers
|
||
resume_params["available_tools"] = None
|
||
else:
|
||
resume_params["available_tools"] = (
|
||
[t.name for t in custom_tools] if custom_tools else None
|
||
)
|
||
|
||
# Always inject the latest system prompt in 'replace' mode
|
||
# This handles both custom models and user-defined system messages
|
||
system_parts = []
|
||
if system_prompt_content:
|
||
system_parts.append(system_prompt_content.strip())
|
||
|
||
# Calculate and inject path context for resumed session
|
||
resolved_cwd = self._get_workspace_dir(
|
||
user_id=user_id, chat_id=chat_id
|
||
)
|
||
path_context = (
|
||
f"\n[Session Context]\n"
|
||
f"- **Your Isolated Workspace**: `{resolved_cwd}`\n"
|
||
f"- **Active User ID**: `{user_id}`\n"
|
||
f"- **Active Chat ID**: `{chat_id}`\n"
|
||
"**CRITICAL INSTRUCTION**: You MUST use the above workspace for ALL file operations.\n"
|
||
"- DO NOT create files in `/tmp` or any other system directories.\n"
|
||
"- If a tool output is too large, save it to a file within your workspace, NOT `/tmp`.\n"
|
||
"- Always interpret 'current directory' as your Isolated Workspace."
|
||
)
|
||
system_parts.append(path_context)
|
||
|
||
system_parts.append(BASE_GUIDELINES)
|
||
if is_admin:
|
||
system_parts.append(ADMIN_EXTENSIONS)
|
||
else:
|
||
system_parts.append(USER_RESTRICTIONS)
|
||
|
||
final_system_msg = "\n".join(system_parts)
|
||
|
||
resume_params["system_message"] = {
|
||
"mode": "replace",
|
||
"content": final_system_msg,
|
||
}
|
||
|
||
preview = final_system_msg[:100].replace("\n", " ")
|
||
await self._emit_debug_log(
|
||
f"Resuming session {chat_id}. Injecting System Prompt ({len(final_system_msg)} chars). Mode: REPLACE. Content Preview: {preview}...",
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
|
||
# Update provider if needed (BYOK support during resume)
|
||
if provider_config:
|
||
resume_params["provider"] = provider_config
|
||
await self._emit_debug_log(
|
||
f"BYOK provider config included: type={provider_config.get('type')}, base_url={provider_config.get('base_url')}",
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
|
||
# Debug: Log the full resume_params structure
|
||
await self._emit_debug_log(
|
||
f"resume_params keys: {list(resume_params.keys())}. system_message mode: {resume_params.get('system_message', {}).get('mode')}",
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
|
||
session = await client.resume_session(chat_id, resume_params)
|
||
await self._emit_debug_log(
|
||
f"Successfully resumed session {chat_id} with model {real_model_id}",
|
||
__event_call__,
|
||
)
|
||
is_new_session = False
|
||
except Exception as e:
|
||
await self._emit_debug_log(
|
||
f"Session {chat_id} not found or failed to resume ({str(e)}), creating new.",
|
||
__event_call__,
|
||
)
|
||
|
||
if session is None:
|
||
is_new_session = True
|
||
session_config = self._build_session_config(
|
||
chat_id,
|
||
real_model_id,
|
||
custom_tools,
|
||
system_prompt_content,
|
||
is_streaming,
|
||
provider_config=provider_config,
|
||
reasoning_effort=effective_reasoning_effort,
|
||
is_reas_model=is_reasoning,
|
||
is_admin=is_admin,
|
||
user_id=user_id,
|
||
enable_mcp=effective_mcp,
|
||
enable_cache=effective_cache,
|
||
__event_call__=__event_call__,
|
||
)
|
||
|
||
await self._emit_debug_log(
|
||
f"Injecting system prompt into new session (len: {len(final_system_msg)})",
|
||
__event_call__,
|
||
)
|
||
|
||
session = await client.create_session(config=session_config)
|
||
|
||
model_type_label = "BYOK" if is_byok_model else "Copilot"
|
||
await self._emit_debug_log(
|
||
f"New {model_type_label} session created. Selected: '{request_model}', Effective ID: '{real_model_id}'",
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
|
||
# Show workspace info for new sessions
|
||
if self.valves.DEBUG:
|
||
if session.workspace_path:
|
||
await self._emit_debug_log(
|
||
f"Session workspace: {session.workspace_path}",
|
||
__event_call__,
|
||
)
|
||
|
||
# Construct Prompt (session-based: send only latest user input)
|
||
# SDK testing confirmed session.resume correctly applies system_message updates,
|
||
# so we simply use the user's input as the prompt.
|
||
prompt = last_text
|
||
|
||
await self._emit_debug_log(
|
||
f"Sending prompt ({len(prompt)} chars) to Agent...",
|
||
__event_call__,
|
||
)
|
||
|
||
send_payload = {"prompt": prompt, "mode": "immediate"}
|
||
if attachments:
|
||
send_payload["attachments"] = attachments
|
||
|
||
# Note: temperature, top_p, max_tokens are not supported by the SDK's
|
||
# session.send() method. These generation parameters would need to be
|
||
# handled at a different level if the underlying provider supports them.
|
||
|
||
if body.get("stream", False):
|
||
init_msg = ""
|
||
if effective_debug:
|
||
init_msg = f"> [Debug] {self._get_translation(user_lang, 'debug_agent_working_in', path=self._get_workspace_dir(user_id=user_id, chat_id=chat_id))}\n"
|
||
if mcp_server_names:
|
||
init_msg += f"> [Debug] {self._get_translation(user_lang, 'debug_mcp_servers', servers=', '.join(mcp_server_names))}\n"
|
||
|
||
# Transfer client ownership to stream_response
|
||
should_stop_client = False
|
||
return self.stream_response(
|
||
client,
|
||
session,
|
||
send_payload,
|
||
chat_id=chat_id,
|
||
user_id=user_id,
|
||
init_message=init_msg,
|
||
__event_call__=__event_call__,
|
||
__event_emitter__=__event_emitter__,
|
||
reasoning_effort=(
|
||
effective_reasoning_effort
|
||
if (is_reasoning and not is_byok_model)
|
||
else "off"
|
||
),
|
||
show_thinking=show_thinking,
|
||
debug_enabled=effective_debug,
|
||
user_lang=user_lang,
|
||
)
|
||
else:
|
||
try:
|
||
response = await session.send_and_wait(send_payload)
|
||
return response.data.content if response else "Empty response."
|
||
finally:
|
||
# Cleanup: destroy session if no chat_id (temporary session)
|
||
if not chat_id:
|
||
try:
|
||
await session.destroy()
|
||
except Exception as cleanup_error:
|
||
await self._emit_debug_log(
|
||
f"Session cleanup warning: {cleanup_error}",
|
||
__event_call__,
|
||
)
|
||
except Exception as e:
|
||
await self._emit_debug_log(
|
||
f"Request Error: {e}", __event_call__, debug_enabled=effective_debug
|
||
)
|
||
return f"Error: {str(e)}"
|
||
finally:
|
||
# Cleanup client if not transferred to stream
|
||
if should_stop_client:
|
||
try:
|
||
await client.stop()
|
||
except Exception as e:
|
||
await self._emit_debug_log(
|
||
f"Client cleanup warning: {e}",
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
|
||
async def stream_response(
|
||
self,
|
||
client,
|
||
session,
|
||
send_payload,
|
||
chat_id: str,
|
||
user_id: str = None,
|
||
init_message: str = "",
|
||
__event_call__=None,
|
||
__event_emitter__=None,
|
||
reasoning_effort: str = "",
|
||
show_thinking: bool = True,
|
||
debug_enabled: bool = False,
|
||
user_lang: str = "en-US",
|
||
) -> AsyncGenerator:
|
||
"""
|
||
Stream response from Copilot SDK, handling various event types.
|
||
Follows official SDK patterns for event handling and streaming.
|
||
"""
|
||
from copilot.generated.session_events import SessionEventType
|
||
|
||
queue = asyncio.Queue()
|
||
done = asyncio.Event()
|
||
SENTINEL = object()
|
||
# Use local state to handle concurrency and tracking
|
||
state = {"thinking_started": False, "content_sent": False}
|
||
has_content = False # Track if any content has been yielded
|
||
active_tools = {} # Map tool_call_id to tool_name
|
||
|
||
def get_event_type(event) -> str:
|
||
"""Extract event type as string, handling both enum and string types."""
|
||
if hasattr(event, "type"):
|
||
event_type = event.type
|
||
# Handle SessionEventType enum
|
||
if hasattr(event_type, "value"):
|
||
return event_type.value
|
||
return str(event_type)
|
||
return "unknown"
|
||
|
||
def safe_get_data_attr(event, attr: str, default=None):
|
||
"""
|
||
Safely extract attribute from event.data.
|
||
Handles both dict access and object attribute access.
|
||
"""
|
||
if not hasattr(event, "data") or event.data is None:
|
||
return default
|
||
|
||
data = event.data
|
||
|
||
# Try as dict first
|
||
if isinstance(data, dict):
|
||
return data.get(attr, default)
|
||
|
||
# Try as object attribute
|
||
return getattr(data, attr, default)
|
||
|
||
def handler(event):
|
||
"""
|
||
Event handler following official SDK patterns.
|
||
Processes streaming deltas, reasoning, tool events, and session state.
|
||
"""
|
||
event_type = get_event_type(event)
|
||
|
||
# === Message Delta Events (Primary streaming content) ===
|
||
if event_type == "assistant.message_delta":
|
||
# Official: event.data.delta_content for Python SDK
|
||
delta = safe_get_data_attr(
|
||
event, "delta_content"
|
||
) or safe_get_data_attr(event, "deltaContent")
|
||
if delta:
|
||
state["content_sent"] = True
|
||
if state["thinking_started"]:
|
||
queue.put_nowait("\n</think>\n")
|
||
state["thinking_started"] = False
|
||
queue.put_nowait(delta)
|
||
|
||
# === Complete Message Event (Non-streaming response) ===
|
||
elif event_type == "assistant.message":
|
||
# Handle complete message (when SDK returns full content instead of deltas)
|
||
# IMPORTANT: Skip if we already received delta content to avoid duplication.
|
||
# The SDK may emit both delta and full message events.
|
||
if state["content_sent"]:
|
||
return
|
||
content = safe_get_data_attr(event, "content") or safe_get_data_attr(
|
||
event, "message"
|
||
)
|
||
if content:
|
||
state["content_sent"] = True
|
||
if state["thinking_started"]:
|
||
queue.put_nowait("\n</think>\n")
|
||
state["thinking_started"] = False
|
||
queue.put_nowait(content)
|
||
|
||
# === Reasoning Delta Events (Chain-of-thought streaming) ===
|
||
elif event_type == "assistant.reasoning_delta":
|
||
delta = safe_get_data_attr(
|
||
event, "delta_content"
|
||
) or safe_get_data_attr(event, "deltaContent")
|
||
if delta:
|
||
# Suppress late-arriving reasoning if content already started
|
||
if state["content_sent"]:
|
||
return
|
||
|
||
# Use UserValves or Global Valve for thinking visibility
|
||
if not state["thinking_started"] and show_thinking:
|
||
queue.put_nowait("<think>\n")
|
||
state["thinking_started"] = True
|
||
if state["thinking_started"]:
|
||
queue.put_nowait(delta)
|
||
|
||
# === Complete Reasoning Event (Non-streaming reasoning) ===
|
||
elif event_type == "assistant.reasoning":
|
||
# Handle complete reasoning content
|
||
reasoning = safe_get_data_attr(event, "content") or safe_get_data_attr(
|
||
event, "reasoning"
|
||
)
|
||
if reasoning:
|
||
# Suppress late-arriving reasoning if content already started
|
||
if state["content_sent"]:
|
||
return
|
||
|
||
if not state["thinking_started"] and show_thinking:
|
||
queue.put_nowait("<think>\n")
|
||
state["thinking_started"] = True
|
||
if state["thinking_started"]:
|
||
queue.put_nowait(reasoning)
|
||
|
||
# === Tool Execution Events ===
|
||
elif event_type == "tool.execution_start":
|
||
tool_name = (
|
||
safe_get_data_attr(event, "name")
|
||
or safe_get_data_attr(event, "tool_name")
|
||
or "Unknown Tool"
|
||
)
|
||
tool_call_id = safe_get_data_attr(event, "tool_call_id", "")
|
||
|
||
# Get tool arguments
|
||
tool_args = {}
|
||
try:
|
||
args_obj = safe_get_data_attr(event, "arguments")
|
||
if isinstance(args_obj, dict):
|
||
tool_args = args_obj
|
||
elif isinstance(args_obj, str):
|
||
tool_args = json.loads(args_obj)
|
||
except:
|
||
pass
|
||
|
||
if tool_call_id:
|
||
active_tools[tool_call_id] = {
|
||
"name": tool_name,
|
||
"arguments": tool_args,
|
||
}
|
||
|
||
# Close thinking tag if open before showing tool
|
||
if state["thinking_started"]:
|
||
queue.put_nowait("\n</think>\n")
|
||
state["thinking_started"] = False
|
||
|
||
# Note: We do NOT emit a done="false" card here to avoid card duplication
|
||
# (unless we have a way to update text which SSE content stream doesn't)
|
||
|
||
self._emit_debug_log_sync(
|
||
f"Tool Start: {tool_name}",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
elif event_type == "tool.execution_complete":
|
||
tool_call_id = safe_get_data_attr(event, "tool_call_id", "")
|
||
tool_info = active_tools.get(tool_call_id)
|
||
|
||
# Handle both old string format and new dict format
|
||
if isinstance(tool_info, str):
|
||
tool_name = tool_info
|
||
elif isinstance(tool_info, dict):
|
||
tool_name = tool_info.get("name", "Unknown Tool")
|
||
else:
|
||
tool_name = "Unknown Tool"
|
||
|
||
# Try to get result content
|
||
result_content = ""
|
||
result_type = "success"
|
||
try:
|
||
result_obj = safe_get_data_attr(event, "result")
|
||
if hasattr(result_obj, "content"):
|
||
result_content = result_obj.content
|
||
elif isinstance(result_obj, dict):
|
||
result_content = result_obj.get("content", "")
|
||
result_type = result_obj.get("result_type", "success")
|
||
if not result_content:
|
||
# Try to serialize the entire dict if no content field
|
||
result_content = json.dumps(
|
||
result_obj, indent=2, ensure_ascii=False
|
||
)
|
||
except Exception as e:
|
||
self._emit_debug_log_sync(
|
||
f"Error extracting result: {e}",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
result_type = "failure"
|
||
result_content = f"Error: {str(e)}"
|
||
|
||
# Display tool result with improved formatting
|
||
if result_content:
|
||
status_icon = "✅" if result_type == "success" else "❌"
|
||
|
||
# --- TODO Sync Logic (File + DB) ---
|
||
if tool_name == "update_todo" and result_type == "success":
|
||
try:
|
||
# Extract todo content with fallback strategy
|
||
todo_text = ""
|
||
|
||
# 1. Try detailedContent (Best source)
|
||
if isinstance(result_obj, dict) and result_obj.get(
|
||
"detailedContent"
|
||
):
|
||
todo_text = result_obj["detailedContent"]
|
||
# 2. Try content (Second best)
|
||
elif isinstance(result_obj, dict) and result_obj.get(
|
||
"content"
|
||
):
|
||
todo_text = result_obj["content"]
|
||
elif hasattr(result_obj, "content"):
|
||
todo_text = result_obj.content
|
||
|
||
# 3. Fallback: If content is just a status message, try to recover from arguments
|
||
if (
|
||
not todo_text or len(todo_text) < 50
|
||
): # Threshold to detect "TODO list updated"
|
||
if tool_call_id in active_tools:
|
||
args = active_tools[tool_call_id].get(
|
||
"arguments", {}
|
||
)
|
||
if isinstance(args, dict) and "todos" in args:
|
||
todo_text = args["todos"]
|
||
self._emit_debug_log_sync(
|
||
f"Recovered TODO from arguments (Result was too short)",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
if todo_text:
|
||
# Use the explicit chat_id passed to stream_response
|
||
target_chat_id = chat_id or "default"
|
||
|
||
# 1. Sync to file
|
||
ws_dir = self._get_workspace_dir(
|
||
user_id=user_id, chat_id=target_chat_id
|
||
)
|
||
todo_path = os.path.join(ws_dir, "TODO.md")
|
||
with open(todo_path, "w") as f:
|
||
f.write(todo_text)
|
||
|
||
# 2. Sync to Database & Emit Status
|
||
self._save_todo_to_db(
|
||
target_chat_id,
|
||
todo_text,
|
||
__event_emitter__=__event_emitter__,
|
||
__event_call__=__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
self._emit_debug_log_sync(
|
||
f"Synced TODO to file and DB (Chat: {target_chat_id})",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
except Exception as sync_err:
|
||
self._emit_debug_log_sync(
|
||
f"TODO Sync Failed: {sync_err}",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
# ------------------------
|
||
|
||
# --- Build native OpenWebUI 0.8.3 tool_calls block ---
|
||
# Serialize input args (from execution_start)
|
||
tool_args_for_block = {}
|
||
if tool_call_id and tool_call_id in active_tools:
|
||
tool_args_for_block = active_tools[tool_call_id].get(
|
||
"arguments", {}
|
||
)
|
||
|
||
try:
|
||
args_json_str = json.dumps(
|
||
tool_args_for_block, ensure_ascii=False
|
||
)
|
||
except Exception:
|
||
args_json_str = "{}"
|
||
|
||
def escape_html_attr(s: str) -> str:
|
||
if not isinstance(s, str):
|
||
return ""
|
||
return (
|
||
str(s)
|
||
.replace("&", "&")
|
||
.replace("<", "<")
|
||
.replace(">", ">")
|
||
.replace('"', """)
|
||
.replace("\n", " ")
|
||
.replace("\r", " ")
|
||
)
|
||
|
||
# MUST escape both arguments and result with " and to satisfy OpenWebUI's strict regex /="([^"]*)"/
|
||
# OpenWebUI `marked` extension does not match multiline attributes properly without
|
||
args_for_attr = (
|
||
escape_html_attr(args_json_str) if args_json_str else "{}"
|
||
)
|
||
result_for_attr = escape_html_attr(result_content)
|
||
|
||
# Emit the unified native tool_calls block:
|
||
# OpenWebUI 0.8.3 frontend regex explicitly expects: name="xxx" arguments="..." result="..." done="true"
|
||
# CRITICAL: <details> tag MUST be followed immediately by \n for the frontend Markdown extension to parse it!
|
||
tool_block = (
|
||
f'\n<details type="tool_calls"'
|
||
f' id="{tool_call_id}"'
|
||
f' name="{tool_name}"'
|
||
f' arguments="{args_for_attr}"'
|
||
f' result="{result_for_attr}"'
|
||
f' done="true">\n'
|
||
f"<summary>Tool Executed</summary>\n"
|
||
f"</details>\n\n"
|
||
)
|
||
queue.put_nowait(tool_block)
|
||
|
||
elif event_type == "tool.execution_progress":
|
||
# Tool execution progress update (for long-running tools)
|
||
tool_call_id = safe_get_data_attr(event, "tool_call_id", "")
|
||
tool_info = active_tools.get(tool_call_id)
|
||
tool_name = (
|
||
tool_info.get("name", "Unknown Tool")
|
||
if isinstance(tool_info, dict)
|
||
else "Unknown Tool"
|
||
)
|
||
|
||
progress = safe_get_data_attr(event, "progress", 0)
|
||
message = safe_get_data_attr(event, "message", "")
|
||
|
||
if message:
|
||
progress_display = f"\n> 🔄 **{tool_name}**: {message}\n"
|
||
queue.put_nowait(progress_display)
|
||
|
||
self._emit_debug_log_sync(
|
||
f"Tool Progress: {tool_name} - {progress}%",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
elif event_type == "tool.execution_partial_result":
|
||
# Streaming tool results (for tools that output incrementally)
|
||
tool_call_id = safe_get_data_attr(event, "tool_call_id", "")
|
||
tool_info = active_tools.get(tool_call_id)
|
||
tool_name = (
|
||
tool_info.get("name", "Unknown Tool")
|
||
if isinstance(tool_info, dict)
|
||
else "Unknown Tool"
|
||
)
|
||
|
||
partial_content = safe_get_data_attr(event, "content", "")
|
||
if partial_content:
|
||
queue.put_nowait(partial_content)
|
||
|
||
self._emit_debug_log_sync(
|
||
f"Tool Partial Result: {tool_name}",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
# === Usage Statistics Events ===
|
||
elif event_type == "assistant.usage":
|
||
# Token usage for current assistant turn
|
||
if self.valves.DEBUG:
|
||
input_tokens = safe_get_data_attr(event, "input_tokens", 0)
|
||
output_tokens = safe_get_data_attr(event, "output_tokens", 0)
|
||
total_tokens = safe_get_data_attr(event, "total_tokens", 0)
|
||
pass
|
||
|
||
elif event_type == "session.usage_info":
|
||
# Cumulative session usage information
|
||
pass
|
||
|
||
elif event_type == "session.compaction_complete":
|
||
self._emit_debug_log_sync(
|
||
"Session Compaction Completed",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
elif event_type == "session.idle":
|
||
# Session finished processing - signal completion
|
||
done.set()
|
||
try:
|
||
queue.put_nowait(SENTINEL)
|
||
except:
|
||
pass
|
||
|
||
elif event_type == "session.error":
|
||
error_msg = safe_get_data_attr(event, "message", "Unknown Error")
|
||
queue.put_nowait(f"\n[Error: {error_msg}]")
|
||
done.set()
|
||
try:
|
||
queue.put_nowait(SENTINEL)
|
||
except:
|
||
pass
|
||
|
||
unsubscribe = session.on(handler)
|
||
|
||
self._emit_debug_log_sync(
|
||
f"Subscribed to events. Sending request...",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
# Use asyncio.create_task used to prevent session.send from blocking the stream reading
|
||
# if the SDK implementation waits for completion.
|
||
send_task = asyncio.create_task(session.send(send_payload))
|
||
self._emit_debug_log_sync(
|
||
f"Prompt sent (async task started)",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
# Safe initial yield with error handling
|
||
try:
|
||
if debug_enabled and __event_emitter__:
|
||
# Emit debug info as UI status rather than reasoning block
|
||
async def _emit_status(key: str, desc: str = None, **kwargs):
|
||
try:
|
||
final_desc = (
|
||
desc
|
||
if desc
|
||
else self._get_translation(user_lang, key, **kwargs)
|
||
)
|
||
await __event_emitter__(
|
||
{
|
||
"type": "status",
|
||
"data": {"description": final_desc, "done": True},
|
||
}
|
||
)
|
||
except:
|
||
pass
|
||
|
||
if init_message:
|
||
for line in init_message.split("\n"):
|
||
if line.strip():
|
||
clean_msg = line.replace("> [Debug] ", "").strip()
|
||
asyncio.create_task(_emit_status("custom", desc=clean_msg))
|
||
|
||
if reasoning_effort and reasoning_effort != "off":
|
||
asyncio.create_task(
|
||
_emit_status(
|
||
"status_reasoning_inj", effort=reasoning_effort.upper()
|
||
)
|
||
)
|
||
|
||
asyncio.create_task(_emit_status("status_conn_est"))
|
||
except Exception as e:
|
||
# If initial yield fails, log but continue processing
|
||
self._emit_debug_log_sync(
|
||
f"Initial status warning: {e}",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
try:
|
||
while not done.is_set():
|
||
try:
|
||
chunk = await asyncio.wait_for(
|
||
queue.get(), timeout=float(self.valves.TIMEOUT)
|
||
)
|
||
if chunk is SENTINEL:
|
||
break
|
||
if chunk:
|
||
has_content = True
|
||
try:
|
||
yield chunk
|
||
except Exception as yield_error:
|
||
# Connection closed by client, stop gracefully
|
||
self._emit_debug_log_sync(
|
||
f"Yield error (client disconnected?): {yield_error}",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
break
|
||
except asyncio.TimeoutError:
|
||
if done.is_set():
|
||
break
|
||
if __event_emitter__ and debug_enabled:
|
||
try:
|
||
asyncio.create_task(
|
||
__event_emitter__(
|
||
{
|
||
"type": "status",
|
||
"data": {
|
||
"description": f"Waiting for response ({self.valves.TIMEOUT}s exceeded)...",
|
||
"done": True,
|
||
},
|
||
}
|
||
)
|
||
)
|
||
except:
|
||
pass
|
||
continue
|
||
|
||
while not queue.empty():
|
||
chunk = queue.get_nowait()
|
||
if chunk is SENTINEL:
|
||
break
|
||
if chunk:
|
||
has_content = True
|
||
try:
|
||
yield chunk
|
||
except:
|
||
# Connection closed, stop yielding
|
||
break
|
||
|
||
if state["thinking_started"]:
|
||
try:
|
||
yield "\n</think>\n"
|
||
has_content = True
|
||
except:
|
||
pass # Connection closed
|
||
|
||
# Core fix: If no content was yielded, return a fallback message to prevent OpenWebUI error
|
||
if not has_content:
|
||
try:
|
||
yield "⚠️ Copilot returned no content. Please check if the Model ID is correct or enable DEBUG mode in Valves for details."
|
||
except:
|
||
pass # Connection already closed
|
||
|
||
except Exception as e:
|
||
try:
|
||
yield f"\n[Stream Error: {str(e)}]"
|
||
except:
|
||
pass # Connection already closed
|
||
finally:
|
||
unsubscribe()
|
||
# Cleanup client and session
|
||
try:
|
||
# We do not destroy session here to allow persistence,
|
||
# but we must stop the client.
|
||
await client.stop()
|
||
except Exception as e:
|
||
pass
|
||
|
||
|
||
# Triggering release after CI fix
|