2609 lines
107 KiB
Python
2609 lines
107 KiB
Python
"""
|
||
title: GitHub Copilot Official SDK Pipe
|
||
author: Fu-Jie
|
||
author_url: https://github.com/Fu-Jie/awesome-openwebui
|
||
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: 0.5.1
|
||
requirements: github-copilot-sdk==0.1.23
|
||
"""
|
||
|
||
import os
|
||
import re
|
||
import json
|
||
import base64
|
||
import tempfile
|
||
import asyncio
|
||
import logging
|
||
import shutil
|
||
import subprocess
|
||
import hashlib
|
||
import aiohttp
|
||
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
|
||
|
||
# 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
|
||
|
||
# Setup logger
|
||
logger = logging.getLogger(__name__)
|
||
|
||
FORMATTING_GUIDELINES = (
|
||
"\n\n[Environment & Capabilities Context]\n"
|
||
"You are an AI assistant operating within a specific, high-capability environment. Understanding your context is crucial for optimal decision-making.\n"
|
||
"\n"
|
||
"**System Environment:**\n"
|
||
"- **Platform**: You are running inside a Linux containerized environment hosted within **OpenWebUI**.\n"
|
||
"- **Core Engine**: You are powered by the **GitHub Copilot SDK** and interact via the **GitHub Copilot CLI**.\n"
|
||
"- **Access**: You have direct access to the **OpenWebUI source code**. You can read, analyze, and reference the internal implementation of the platform you are running on via file operations or tools.\n"
|
||
"- **FileSystem Access**: You are running as **root**. You have **READ access to the entire container file system** (including system files). However, you should **ONLY WRITE** to your designated persistent workspace directory.\n"
|
||
"- **Native Python Environment**: You are running in a **rich Python environment** that already includes all OpenWebUI dependencies. You can natively import and use these installed libraries (e.g., for data processing, utility functions) without installing anything new.\n"
|
||
"- **Package Management**: Only if you need **additional** libraries, you should **create a virtual environment** within your workspace and install them there. Do NOT mess with the global pip.\n"
|
||
"- **Network**: You have internet access and can interact with external APIs if provided with the necessary tools (e.g., Web Search, MCP Servers).\n"
|
||
"\n"
|
||
"**Interface Capabilities (OpenWebUI):**\n"
|
||
"- **Rich Web UI**: You are NOT limited to a simple terminal or text-only responses. You are rendering in a modern web browser.\n"
|
||
"- **Visual Rendering**: You can and should use advanced visual elements to explain concepts clearly.\n"
|
||
"- **Interactive Scripting**: You can often run Python scripts directly to perform calculations, data analysis, or automate tasks if the environment supports it/tools are available.\n"
|
||
"- **Built-in Tools Integration**: OpenWebUI provides native tools for direct interaction with its internal services. For example, tools like `create_note`, `get_notes`, or `manage_memories` interact directly with the platform's database. Use these tools to persistently manage user data and system state.\n"
|
||
"\n"
|
||
"**Formatting & Presentation Directives:**\n"
|
||
"1. **Markdown & Multimedia**:\n"
|
||
" - Use **bold**, *italics*, lists, and **Markdown tables** (standard format, never use HTML tables) liberally to structure your answer.\n"
|
||
" - **Mermaid Diagrams**: For flowcharts, sequence diagrams, or architecture logic, ALWAYS use the standard ```mermaid code block. Do NOT use other formats.\n"
|
||
" - **LaTeX Math**: Use standard LaTeX formatting for mathematical expressions.\n"
|
||
"\n"
|
||
"2. **Images & Files**:\n"
|
||
" - If a tool generated an image or file, you **MUST** embed it directly using ``.\n"
|
||
" - Do NOT simply provide a text link unless explicitly asked.\n"
|
||
"\n"
|
||
"3. **Interactive HTML/JS**:\n"
|
||
" - You can output standalone HTML/JS/CSS code blocks. OpenWebUI will render them as interactive widgets in an iframe.\n"
|
||
" - **IMPORTANT**: Combine all HTML, CSS (in `<style>`), and JavaScript (in `<script>`) into a **SINGLE** ` ```html ` code block.\n"
|
||
" - Use this for dynamic data visualizations (e.g., charts, graphs), interactive demos, or custom UI components.\n"
|
||
"\n"
|
||
"4. **Response Structure**:\n"
|
||
" - **Think First**: Before complex tasks, briefly outline your plan.\n"
|
||
" - **Be Concise but Complete**: specific answers are better than generic ones.\n"
|
||
" - **Premium Feel**: Format your output to look professional and polished, like a technical blog post or documentation.\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 Tool Server Tools).",
|
||
)
|
||
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)",
|
||
)
|
||
WORKSPACE_DIR: str = Field(
|
||
default="",
|
||
description="Restricted workspace directory for file operations. If empty, allows access to the current process directory.",
|
||
)
|
||
COPILOT_CLI_VERSION: str = Field(
|
||
default="0.0.405",
|
||
description="Specific Copilot CLI version to install/enforce (e.g. '0.0.405'). Leave empty for latest.",
|
||
)
|
||
EXCLUDE_KEYWORDS: str = Field(
|
||
default="",
|
||
description="Exclude models containing these keywords (comma separated, e.g.: codex, haiku)",
|
||
)
|
||
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"})',
|
||
)
|
||
|
||
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.)",
|
||
)
|
||
ENABLE_OPENWEBUI_TOOLS: bool = Field(
|
||
default=True,
|
||
description="Enable OpenWebUI Tools (includes defined Tools and Tool Server Tools).",
|
||
)
|
||
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
|
||
_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
|
||
|
||
def __init__(self):
|
||
self.type = "pipe"
|
||
self.id = "copilot"
|
||
self.name = "copilotsdk"
|
||
self.valves = self.Valves()
|
||
self.temp_dir = tempfile.mkdtemp(prefix="copilot_images_")
|
||
|
||
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,
|
||
) -> Union[str, AsyncGenerator]:
|
||
return await self._pipe_impl(
|
||
body,
|
||
__metadata__=__metadata__,
|
||
__user__=__user__,
|
||
__event_emitter__=__event_emitter__,
|
||
__event_call__=__event_call__,
|
||
)
|
||
|
||
# ==================== 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, __user__=None, __event_call__=None):
|
||
"""Initialize custom tools based on configuration"""
|
||
if not self.valves.ENABLE_OPENWEBUI_TOOLS:
|
||
return []
|
||
|
||
# Determine cache setting (user override > global)
|
||
enable_cache = self.valves.ENABLE_TOOL_CACHE
|
||
if __user__:
|
||
try:
|
||
# Attempt to get user valve, handling potential missing field or type issues gracefully
|
||
# We need to construct UserValves to access defaults/overrides correctly if passed as dict
|
||
raw_user_valves = __user__.get("valves", {})
|
||
if isinstance(raw_user_valves, dict):
|
||
uv = self.UserValves(**raw_user_valves)
|
||
enable_cache = uv.ENABLE_TOOL_CACHE
|
||
elif isinstance(raw_user_valves, self.UserValves):
|
||
enable_cache = raw_user_valves.ENABLE_TOOL_CACHE
|
||
except:
|
||
pass
|
||
|
||
# Check Cache
|
||
if enable_cache and self._tool_cache is not None:
|
||
await self._emit_debug_log(
|
||
"ℹ️ Using cached OpenWebUI tools.", __event_call__
|
||
)
|
||
return self._tool_cache
|
||
|
||
# Load OpenWebUI tools dynamically
|
||
openwebui_tools = await self._load_openwebui_tools(
|
||
__user__=__user__, __event_call__=__event_call__
|
||
)
|
||
|
||
# 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__,
|
||
)
|
||
|
||
return openwebui_tools
|
||
|
||
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):
|
||
"""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 {}
|
||
)
|
||
return await tool_callable(**payload)
|
||
|
||
_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):
|
||
"""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)
|
||
|
||
app_state = SimpleNamespace(
|
||
config=config,
|
||
TOOLS={},
|
||
TOOL_CONTENTS={},
|
||
FUNCTIONS={},
|
||
FUNCTION_CONTENTS={},
|
||
MODELS={},
|
||
)
|
||
|
||
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
|
||
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={
|
||
"user-agent": "Mozilla/5.0 (OpenWebUI Plugin/GitHub-Copilot-SDK)",
|
||
"host": "localhost:8080",
|
||
"accept": "*/*",
|
||
},
|
||
method="POST",
|
||
cookies={},
|
||
state=SimpleNamespace(
|
||
token=SimpleNamespace(credentials=""), user=user if user else {}
|
||
),
|
||
)
|
||
return request
|
||
|
||
async def _load_openwebui_tools(self, __user__=None, __event_call__=None):
|
||
"""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 []
|
||
|
||
user = Users.get_user_by_id(user_id)
|
||
if not user:
|
||
return []
|
||
|
||
# 1. Get User defined tools (Python scripts)
|
||
tool_items = Tools.get_tools_by_user_id(user_id, permission="read")
|
||
tool_ids = [tool.id for tool in tool_items] if tool_items else []
|
||
|
||
# 2. Get OpenAPI Tool Server tools
|
||
# We manually add enabled OpenAPI servers to the list because Tools.get_tools_by_user_id only checks the DB.
|
||
# open_webui.utils.tools.get_tools handles the actual loading and access control.
|
||
if hasattr(TOOL_SERVER_CONNECTIONS, "value"):
|
||
for server in TOOL_SERVER_CONNECTIONS.value:
|
||
# We only add 'openapi' servers here because get_tools currently only supports 'openapi' (or defaults to it).
|
||
# MCP tools are handled separately via ENABLE_MCP_SERVER.
|
||
if server.get("type") == "openapi":
|
||
# Format expected by get_tools: "server:<id>" implies types="openapi"
|
||
server_id = server.get("id")
|
||
if server_id:
|
||
tool_ids.append(f"server:{server_id}")
|
||
|
||
if not tool_ids:
|
||
return []
|
||
|
||
request = self._build_openwebui_request(user_data)
|
||
extra_params = {
|
||
"__request__": request,
|
||
"__user__": user_data,
|
||
"__event_emitter__": None,
|
||
"__event_call__": __event_call__,
|
||
"__chat_id__": None,
|
||
"__message_id__": None,
|
||
"__model_knowledge__": [],
|
||
}
|
||
|
||
# Fetch User/Server Tools
|
||
tools_dict = {}
|
||
if tool_ids:
|
||
try:
|
||
tools_dict = await get_openwebui_tools(
|
||
request, tool_ids, user, extra_params
|
||
)
|
||
except Exception as e:
|
||
await self._emit_debug_log(
|
||
f"Error fetching user/server tools: {e}", __event_call__
|
||
)
|
||
|
||
# Fetch Built-in Tools (Web Search, Memory, etc.)
|
||
# Note: We pass minimal features/model dict as we want to expose all enabled built-ins
|
||
# that are globally configured.
|
||
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)
|
||
)
|
||
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) -> Optional[dict]:
|
||
"""
|
||
Dynamically load MCP servers from OpenWebUI TOOL_SERVER_CONNECTIONS.
|
||
Returns a dict of mcp_servers compatible with CopilotClient.
|
||
"""
|
||
if not self.valves.ENABLE_MCP_SERVER:
|
||
return None
|
||
|
||
# Determine cache setting (no user context here usually, unless passed down, but for now use global as baseline + potentially stored user pref if we had access to user context easily in this method signature.
|
||
# However, _parse_mcp_servers is called from _build_client_config which doesn't easily pass user context.
|
||
# Wait, _parse_mcp_servers is called by _build_client_config(body) inside _pipe_impl.
|
||
# But _pipe_impl has access to user.
|
||
# Let's check where _parse_mcp_servers is called.
|
||
# It is called in _build_client_config.
|
||
# Actually _parse_mcp_servers is defined on 'self'.
|
||
# To support user override here, we'd need to pass user settings down or store them temporarily.
|
||
# Given the complexity, and that MCP servers are globally defined in OpenWebUI connection settings (usually),
|
||
# maybe global cache setting is sufficient for MCP?
|
||
# BUT, the user request implied "user can turn off".
|
||
# Let's stick to global for MCP for now unless we refactor to pass user_valves into this method.
|
||
# Refactoring to use self.valves.ENABLE_TOOL_CACHE is safe for now as baseline.
|
||
# If we really need user override for MCP cache, we need to pass `enable_cache` boolean to this method.
|
||
|
||
# Let's use the global valve for now as it matches the previous logic, but be aware of the limitation.
|
||
# The user's request "run user close" (user can turn off) likely applies to the tools they use.
|
||
|
||
# Check Cache
|
||
if self.valves.ENABLE_TOOL_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 = conn.get("auth_type", "bearer")
|
||
key = conn.get("key", "")
|
||
|
||
if auth_type == "bearer" and key:
|
||
headers["Authorization"] = f"Bearer {key}"
|
||
elif auth_type == "basic" and key:
|
||
headers["Authorization"] = f"Basic {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,
|
||
}
|
||
|
||
# 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) -> str:
|
||
"""Get the effective workspace directory with smart defaults."""
|
||
if self.valves.WORKSPACE_DIR:
|
||
return self.valves.WORKSPACE_DIR
|
||
|
||
# Smart default for OpenWebUI container
|
||
if os.path.exists("/app/backend/data"):
|
||
cwd = "/app/backend/data/copilot_workspace"
|
||
else:
|
||
# Local fallback: subdirectory in current working directory
|
||
cwd = os.path.join(os.getcwd(), "copilot_workspace")
|
||
|
||
# Ensure directory exists
|
||
if not os.path.exists(cwd):
|
||
try:
|
||
os.makedirs(cwd, exist_ok=True)
|
||
except Exception as e:
|
||
print(f"Error creating workspace {cwd}: {e}")
|
||
return os.getcwd() # Fallback to CWD if creation fails
|
||
|
||
return cwd
|
||
|
||
def _build_client_config(self, body: dict) -> dict:
|
||
"""Build CopilotClient config from valves and request body."""
|
||
cwd = self._get_workspace_dir()
|
||
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.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,
|
||
):
|
||
"""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())
|
||
system_parts.append(FORMATTING_GUIDELINES)
|
||
final_system_msg = "\n".join(system_parts)
|
||
|
||
# Design Choice: ALWAYS use 'replace' mode to ensure full control and avoid duplicates.
|
||
# This replaces any default system prompt with our combined version.
|
||
system_message_config = {
|
||
"mode": "replace",
|
||
"content": final_system_msg,
|
||
}
|
||
|
||
# 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,
|
||
"available_tools": [t.name for t in custom_tools] if custom_tools else None,
|
||
"system_message": system_message_config,
|
||
"infinite_sessions": infinite_session_config,
|
||
}
|
||
|
||
if provider_config:
|
||
session_params["provider"] = provider_config
|
||
|
||
mcp_servers = self._parse_mcp_servers()
|
||
if mcp_servers:
|
||
session_params["mcp_servers"] = mcp_servers
|
||
|
||
# Ensure working directory is set to allow the agent to perform file operations
|
||
session_params["working_directory"] = self._get_workspace_dir()
|
||
|
||
return SessionConfig(**session_params)
|
||
|
||
def _get_user_context(self):
|
||
"""Helper to get user context (placeholder for future use)."""
|
||
return {}
|
||
|
||
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) -> List[dict]:
|
||
"""Fetch BYOK models from configured provider."""
|
||
model_list = []
|
||
if self.valves.BYOK_BASE_URL:
|
||
try:
|
||
base_url = self.valves.BYOK_BASE_URL.rstrip("/")
|
||
url = f"{base_url}/models"
|
||
headers = {}
|
||
provider_type = self.valves.BYOK_TYPE.lower()
|
||
|
||
if provider_type == "anthropic":
|
||
if self.valves.BYOK_API_KEY:
|
||
headers["x-api-key"] = self.valves.BYOK_API_KEY
|
||
headers["anthropic-version"] = "2023-06-01"
|
||
else:
|
||
if self.valves.BYOK_BEARER_TOKEN:
|
||
headers["Authorization"] = (
|
||
f"Bearer {self.valves.BYOK_BEARER_TOKEN}"
|
||
)
|
||
elif self.valves.BYOK_API_KEY:
|
||
headers["Authorization"] = f"Bearer {self.valves.BYOK_API_KEY}"
|
||
|
||
timeout = aiohttp.ClientTimeout(total=5)
|
||
async with aiohttp.ClientSession(timeout=timeout) as session:
|
||
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"])
|
||
await self._emit_debug_log(
|
||
f"BYOK: Fetched {len(model_list)} models from {url}"
|
||
)
|
||
else:
|
||
await self._emit_debug_log(
|
||
f"BYOK: Failed to fetch models from {url}. Status: {resp.status}"
|
||
)
|
||
except Exception as e:
|
||
await self._emit_debug_log(f"BYOK: Model fetch error: {e}")
|
||
|
||
# Fallback to configured list or defaults
|
||
if not model_list:
|
||
if self.valves.BYOK_MODELS.strip():
|
||
model_list = [
|
||
m.strip() for m in self.valves.BYOK_MODELS.split(",") if m.strip()
|
||
]
|
||
await self._emit_debug_log(
|
||
f"BYOK: Using user-configured BYOK_MODELS ({len(model_list)} models)."
|
||
)
|
||
else:
|
||
defaults = {
|
||
"anthropic": [
|
||
"claude-3-5-sonnet-latest",
|
||
"claude-3-5-haiku-latest",
|
||
"claude-3-opus-latest",
|
||
],
|
||
}
|
||
model_list = defaults.get(
|
||
self.valves.BYOK_TYPE.lower(),
|
||
["gpt-4o", "gpt-4o-mini", "o1", "o3-mini"],
|
||
)
|
||
await self._emit_debug_log(
|
||
f"BYOK: Using default fallback models for {self.valves.BYOK_TYPE} ({len(model_list)} models)."
|
||
)
|
||
|
||
return [
|
||
{"id": m, "name": f"-{self._clean_model_id(m)}", "source": "byok"}
|
||
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
|
||
|
||
async def pipes(self) -> List[dict]:
|
||
"""Dynamically fetch model list"""
|
||
if self._model_cache:
|
||
return self._model_cache
|
||
|
||
await self._emit_debug_log("Fetching model list dynamically...")
|
||
try:
|
||
self._setup_env()
|
||
|
||
# Check for valid configuration
|
||
byok_active = bool(
|
||
self.valves.BYOK_BASE_URL
|
||
and (self.valves.BYOK_API_KEY or self.valves.BYOK_BEARER_TOKEN)
|
||
)
|
||
if not self.valves.GH_TOKEN and not byok_active:
|
||
self._standard_model_ids = set()
|
||
return [
|
||
{"id": "error", "name": "Error: GH_TOKEN or BYOK not configured"}
|
||
]
|
||
|
||
client_config = {}
|
||
if os.environ.get("COPILOT_CLI_PATH"):
|
||
client_config["cli_path"] = os.environ["COPILOT_CLI_PATH"]
|
||
|
||
# 1. Fetch BYOK Models if configured
|
||
byok_models = []
|
||
if byok_active:
|
||
byok_models = await self._fetch_byok_models()
|
||
# If GH_TOKEN is missing, return only BYOK models immediately
|
||
if not self.valves.GH_TOKEN:
|
||
self._model_cache = byok_models
|
||
return self._model_cache
|
||
|
||
# 2. Fetch Standard Copilot Models (if GH_TOKEN is present)
|
||
standard_models = []
|
||
client = CopilotClient(client_config)
|
||
try:
|
||
await client.start()
|
||
raw_models = await client.list_models()
|
||
|
||
exclude_list = [
|
||
k.strip().lower()
|
||
for k in self.valves.EXCLUDE_KEYWORDS.split(",")
|
||
if k.strip()
|
||
]
|
||
processed_models = []
|
||
|
||
for m in raw_models:
|
||
# Extract fields resiliently
|
||
m_id = (
|
||
m.get("id") if isinstance(m, dict) else getattr(m, "id", str(m))
|
||
)
|
||
m_billing = (
|
||
m.get("billing")
|
||
if isinstance(m, dict)
|
||
else getattr(m, "billing", {})
|
||
)
|
||
m_policy = (
|
||
m.get("policy")
|
||
if isinstance(m, dict)
|
||
else getattr(m, "policy", {})
|
||
)
|
||
|
||
# Skip disabled models
|
||
state = (
|
||
m_policy.get("state")
|
||
if isinstance(m_policy, dict)
|
||
else getattr(m_policy, "state", "enabled")
|
||
)
|
||
if state == "disabled":
|
||
continue
|
||
|
||
# Apply exclusion filter
|
||
if any(kw in m_id.lower() for kw in exclude_list):
|
||
continue
|
||
|
||
multiplier = (
|
||
m_billing.get("multiplier", 1)
|
||
if isinstance(m_billing, dict)
|
||
else getattr(m_billing, "multiplier", 1)
|
||
)
|
||
|
||
clean_id = self._clean_model_id(m_id)
|
||
# Use (0x) to indicate free/unlimited with a fire emoji
|
||
# User requested 'copilotsdk-🔥 model (0x)' format
|
||
if multiplier > 0:
|
||
display_name = f"-{clean_id} ({multiplier}x)"
|
||
else:
|
||
display_name = f"-🔥 {clean_id} (0x)"
|
||
|
||
processed_models.append(
|
||
{
|
||
"id": m_id, # Keep raw ID
|
||
"name": display_name,
|
||
"multiplier": multiplier,
|
||
"raw_id": m_id,
|
||
}
|
||
)
|
||
|
||
# Sort by multiplier (cheapest first), then name
|
||
processed_models.sort(key=lambda x: (x["multiplier"], x["raw_id"]))
|
||
standard_models = [
|
||
{
|
||
"id": f"{self.id}-{m['raw_id']}",
|
||
"name": m["name"],
|
||
"source": "copilot",
|
||
}
|
||
for m in processed_models
|
||
]
|
||
self._standard_model_ids = {m["raw_id"] for m in processed_models}
|
||
|
||
except Exception as e:
|
||
await self._emit_debug_log(f"Failed to fetch standard model list: {e}")
|
||
self._standard_model_ids = set()
|
||
# If standard fetch fails but we have BYOK, use BYOK
|
||
if byok_models:
|
||
self._model_cache = byok_models
|
||
return self._model_cache
|
||
# Otherwise, soft fail with default model
|
||
return [{"id": "gpt-5-mini", "name": "-gpt-5-mini"}]
|
||
finally:
|
||
await client.stop()
|
||
|
||
# 3. Merge and Return
|
||
self._model_cache = standard_models + byok_models
|
||
|
||
await self._emit_debug_log(
|
||
f"Successfully fetched {len(standard_models)} standard models and {len(byok_models)} BYOK models. Total: {len(self._model_cache)}"
|
||
)
|
||
return self._model_cache
|
||
|
||
except Exception as e:
|
||
await self._emit_debug_log(f"Pipes Error: {e}")
|
||
return [{"id": "gpt-5-mini", "name": "-gpt-5-mini"}]
|
||
|
||
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):
|
||
"""Setup environment variables and verify Copilot CLI."""
|
||
if self._env_setup_done:
|
||
return
|
||
|
||
# 1. Environment Variables for Auth
|
||
if self.valves.GH_TOKEN:
|
||
os.environ["GH_TOKEN"] = self.valves.GH_TOKEN
|
||
os.environ["GITHUB_TOKEN"] = self.valves.GH_TOKEN
|
||
else:
|
||
self._emit_debug_log_sync(
|
||
"Warning: GH_TOKEN is not set.",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
# Disable CLI auto-update to ensure version consistency
|
||
os.environ["COPILOT_AUTO_UPDATE"] = "false"
|
||
self._emit_debug_log_sync(
|
||
"Disabled CLI auto-update (COPILOT_AUTO_UPDATE=false)",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
# 2. CLI Path Discovery
|
||
cli_path = "/usr/local/bin/copilot"
|
||
if os.environ.get("COPILOT_CLI_PATH"):
|
||
cli_path = os.environ["COPILOT_CLI_PATH"]
|
||
|
||
target_version = self.valves.COPILOT_CLI_VERSION.strip()
|
||
found = False
|
||
current_version = None
|
||
|
||
def get_cli_version(path):
|
||
try:
|
||
output = (
|
||
subprocess.check_output(
|
||
[path, "--version"], stderr=subprocess.STDOUT
|
||
)
|
||
.decode()
|
||
.strip()
|
||
)
|
||
import re
|
||
|
||
match = re.search(r"(\d+\.\d+\.\d+)", output)
|
||
return match.group(1) if match else output
|
||
except Exception:
|
||
return None
|
||
|
||
# Check existing version
|
||
if os.path.exists(cli_path):
|
||
found = True
|
||
current_version = get_cli_version(cli_path)
|
||
|
||
if not found:
|
||
sys_path = shutil.which("copilot")
|
||
if sys_path:
|
||
cli_path = sys_path
|
||
found = True
|
||
current_version = get_cli_version(cli_path)
|
||
|
||
if not found:
|
||
pkg_path = os.path.join(os.path.dirname(__file__), "bin", "copilot")
|
||
if os.path.exists(pkg_path):
|
||
cli_path = pkg_path
|
||
found = True
|
||
current_version = get_cli_version(cli_path)
|
||
|
||
# 3. Installation/Update Logic
|
||
should_install = not found
|
||
install_reason = "CLI not found"
|
||
if found and target_version:
|
||
norm_target = target_version.lstrip("v")
|
||
norm_current = current_version.lstrip("v") if current_version else ""
|
||
|
||
# Only install if target version is GREATER than current version
|
||
try:
|
||
from packaging.version import parse as parse_version
|
||
|
||
if parse_version(norm_target) > parse_version(norm_current):
|
||
should_install = True
|
||
install_reason = (
|
||
f"Upgrade needed ({current_version} -> {target_version})"
|
||
)
|
||
elif parse_version(norm_target) < parse_version(norm_current):
|
||
self._emit_debug_log_sync(
|
||
f"Current version ({current_version}) is newer than specified ({target_version}). Skipping downgrade.",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
except Exception as e:
|
||
# Fallback to string comparison if packaging is not available
|
||
if norm_target != norm_current:
|
||
should_install = True
|
||
install_reason = (
|
||
f"Version mismatch ({current_version} != {target_version})"
|
||
)
|
||
|
||
if should_install:
|
||
self._emit_debug_log_sync(
|
||
f"Installing/Updating Copilot CLI: {install_reason}...",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
try:
|
||
env = os.environ.copy()
|
||
if target_version:
|
||
env["VERSION"] = target_version
|
||
subprocess.run(
|
||
"curl -fsSL https://gh.io/copilot-install | bash",
|
||
shell=True,
|
||
check=True,
|
||
env=env,
|
||
)
|
||
# Re-verify
|
||
current_version = get_cli_version(cli_path)
|
||
except Exception as e:
|
||
self._emit_debug_log_sync(
|
||
f"CLI installation failed: {e}",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
# 4. Finalize
|
||
os.environ["COPILOT_CLI_PATH"] = cli_path
|
||
self._env_setup_done = True
|
||
self._emit_debug_log_sync(
|
||
f"Environment setup complete. CLI: {cli_path} (v{current_version})",
|
||
__event_call__,
|
||
debug_enabled=debug_enabled,
|
||
)
|
||
|
||
def _process_images(
|
||
self, messages, __event_call__=None, debug_enabled: bool = False
|
||
):
|
||
attachments = []
|
||
text_content = ""
|
||
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)
|
||
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
|
||
|
||
# Check model support for xhigh
|
||
# Only gpt-5.2-codex supports xhigh currently
|
||
if effort == "xhigh":
|
||
if (
|
||
"gpt-5.2-codex"
|
||
not in self._collect_model_ids(
|
||
body={},
|
||
request_model=self.id,
|
||
real_model_id=None,
|
||
)[0].lower()
|
||
):
|
||
# Fallback to high if not supported
|
||
effort = "high"
|
||
|
||
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,
|
||
)
|
||
|
||
# ==================== 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,
|
||
) -> Union[str, AsyncGenerator]:
|
||
# 1. Determine effective debug setting FIRST to capture all logs
|
||
if __user__:
|
||
raw_valves = __user__.get("valves", {})
|
||
if isinstance(raw_valves, self.UserValves):
|
||
user_valves = raw_valves
|
||
elif isinstance(raw_valves, dict):
|
||
user_valves = self.UserValves(**raw_valves)
|
||
else:
|
||
user_valves = self.UserValves()
|
||
else:
|
||
user_valves = self.UserValves()
|
||
|
||
effective_debug = self.valves.DEBUG or user_valves.DEBUG
|
||
|
||
# 2. Setup environment with effective debug
|
||
self._setup_env(__event_call__, debug_enabled=effective_debug)
|
||
|
||
cwd = self._get_workspace_dir()
|
||
await self._emit_debug_log(
|
||
f"Agent working in: {cwd}", __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. 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."
|
||
|
||
# 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")
|
||
|
||
# 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,
|
||
)
|
||
|
||
last_text, attachments = self._process_images(
|
||
messages, __event_call__, debug_enabled=effective_debug
|
||
)
|
||
|
||
# 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.
|
||
|
||
# Ensure we have the latest config
|
||
# Determine if the currently selected model is a BYOK model or a Standard model
|
||
# Detection priority:
|
||
# 1. Check body.metadata.model.name for multiplier info (most direct)
|
||
# 2. Check model cache for explicit 'source' field
|
||
# 3. Check if model name in cache contains multiplier info
|
||
# 4. Fallback heuristics
|
||
import re
|
||
|
||
is_byok_model = False
|
||
model_display_name = ""
|
||
|
||
# Method 1: Get model name from various metadata sources
|
||
body_metadata = body.get("metadata", {})
|
||
if not isinstance(body_metadata, dict):
|
||
body_metadata = {}
|
||
|
||
# Priority: body.metadata.model.name > __metadata__.model.name > __metadata__.model_name
|
||
meta_model = body_metadata.get("model", {})
|
||
if isinstance(meta_model, dict):
|
||
model_display_name = meta_model.get("name", "")
|
||
|
||
if not model_display_name and __metadata__:
|
||
# Check __metadata__['model'] which we saw in the logs
|
||
model_obj = __metadata__.get("model", {})
|
||
if isinstance(model_obj, dict):
|
||
model_display_name = model_obj.get("name", "")
|
||
elif isinstance(model_obj, str):
|
||
model_display_name = model_obj
|
||
|
||
# Further fallbacks
|
||
if not model_display_name:
|
||
model_display_name = __metadata__.get(
|
||
"model_name", ""
|
||
) or __metadata__.get("name", "")
|
||
|
||
if not model_display_name:
|
||
# Last resort: log keys and 'model' type for future debugging
|
||
meta_keys = list(body_metadata.keys())
|
||
extra_keys = list(__metadata__.keys()) if __metadata__ else []
|
||
model_val = __metadata__.get("model") if __metadata__ else None
|
||
await self._emit_debug_log(
|
||
f"Debug: Name not found. body.meta keys: {meta_keys}, __meta__ keys: {extra_keys}, model_type: {type(model_val)}",
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
|
||
if model_display_name:
|
||
# Copilot models have multiplier info like "(0x)", "(1x)", "(0.5x)" or Chinese "（1x）"
|
||
has_multiplier = bool(re.search(r"[\(（]\d+(?:\.\d+)?x[\)）]", model_display_name))
|
||
|
||
# Logic: If Custom Model name lacks multiplier, check the Base Model's official name
|
||
if not has_multiplier:
|
||
# Ensure cache is populated
|
||
if not self._model_cache:
|
||
try:
|
||
await self.pipes()
|
||
except:
|
||
pass
|
||
|
||
# Lookup base model in cache to check its official name
|
||
cached_model = next(
|
||
(m for m in self._model_cache 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
|
||
)
|
||
|
||
if cached_model:
|
||
cached_name = cached_model.get("name", "")
|
||
if re.search(r"[\(（]\d+(?:\.\d+)?x[\)）]", cached_name):
|
||
has_multiplier = True
|
||
await self._emit_debug_log(
|
||
f"Correction: Found multiplier in Base Model name '{cached_name}' for Custom Model '{model_display_name}'. Treated as Standard Copilot.",
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
|
||
is_byok_model = not has_multiplier and byok_active
|
||
|
||
await self._emit_debug_log(
|
||
f"BYOK detection via display name: '{model_display_name}' -> multiplier={has_multiplier}, is_byok={is_byok_model}",
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
else:
|
||
# Fallback: lookup from cache
|
||
if not self._model_cache:
|
||
try:
|
||
await self.pipes()
|
||
except:
|
||
pass
|
||
|
||
# For custom models, use base_model_id to find the actual model info
|
||
base_model_id_from_meta = (
|
||
__metadata__.get("base_model_id", "") if __metadata__ else ""
|
||
)
|
||
lookup_model_id = (
|
||
base_model_id_from_meta if base_model_id_from_meta else request_model
|
||
)
|
||
|
||
model_info = next(
|
||
(m for m in (self._model_cache or []) if m["id"] == lookup_model_id),
|
||
None,
|
||
)
|
||
|
||
if model_info:
|
||
if "source" in model_info:
|
||
is_byok_model = model_info["source"] == "byok"
|
||
await self._emit_debug_log(
|
||
f"BYOK detection via cache source: '{model_info.get('id')}' source='{model_info['source']}' -> is_byok={is_byok_model}",
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
else:
|
||
model_name = model_info.get("name", "")
|
||
has_multiplier = bool(
|
||
re.search(r"[\(（]\d+(?:\.\d+)?x[\)）]", model_name)
|
||
)
|
||
is_byok_model = not has_multiplier and byok_active
|
||
await self._emit_debug_log(
|
||
f"BYOK detection via cache name: '{model_name}' -> multiplier={has_multiplier}, is_byok={is_byok_model}",
|
||
__event_call__,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
else:
|
||
# Fallback to heuristics if model not in cache
|
||
if byok_active:
|
||
if not gh_token:
|
||
is_byok_model = True
|
||
elif real_model_id.startswith("copilot-"):
|
||
# If ID starts with copilot-, assume it's NOT BYOK even if list is old
|
||
is_byok_model = False
|
||
elif real_model_id not in self._standard_model_ids:
|
||
is_byok_model = True
|
||
await self._emit_debug_log(
|
||
f"BYOK detection via heuristics: model_id='{real_model_id}', byok_active={byok_active} -> is_byok={is_byok_model}",
|
||
__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))
|
||
should_stop_client = True
|
||
try:
|
||
await client.start()
|
||
|
||
# Initialize custom tools (Handles caching internally)
|
||
custom_tools = await self._initialize_custom_tools(
|
||
__user__=__user__, __event_call__=__event_call__
|
||
)
|
||
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()
|
||
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,
|
||
"available_tools": (
|
||
[t.name for t in custom_tools] if custom_tools else None
|
||
),
|
||
}
|
||
if mcp_servers:
|
||
resume_params["mcp_servers"] = mcp_servers
|
||
|
||
# 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())
|
||
system_parts.append(FORMATTING_GUIDELINES)
|
||
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,
|
||
)
|
||
|
||
await self._emit_debug_log(
|
||
f"Injecting system prompt into new session (len: {len(system_prompt_content or '') + len(FORMATTING_GUIDELINES)})",
|
||
__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] Agent working in: {self._get_workspace_dir()}\n"
|
||
)
|
||
if mcp_server_names:
|
||
init_msg += f"> [Debug] 🔌 Connected MCP Servers: {', '.join(mcp_server_names)}\n"
|
||
|
||
# Transfer client ownership to stream_response
|
||
should_stop_client = False
|
||
return self.stream_response(
|
||
client,
|
||
session,
|
||
send_payload,
|
||
init_msg,
|
||
__event_call__,
|
||
reasoning_effort=effective_reasoning_effort,
|
||
show_thinking=show_thinking,
|
||
debug_enabled=effective_debug,
|
||
)
|
||
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,
|
||
init_message: str = "",
|
||
__event_call__=None,
|
||
reasoning_effort: str = "",
|
||
show_thinking: bool = True,
|
||
debug_enabled: bool = False,
|
||
) -> 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
|
||
|
||
# Display tool call with improved formatting
|
||
if tool_args:
|
||
tool_args_json = json.dumps(tool_args, indent=2, ensure_ascii=False)
|
||
tool_display = f"\n\n<details>\n<summary>🔧 Executing Tool: {tool_name}</summary>\n\n**Parameters:**\n\n```json\n{tool_args_json}\n```\n\n</details>\n\n"
|
||
else:
|
||
tool_display = f"\n\n<details>\n<summary>🔧 Executing Tool: {tool_name}</summary>\n\n*No parameters*\n\n</details>\n\n"
|
||
|
||
queue.put_nowait(tool_display)
|
||
|
||
self._emit_debug_log_sync(f"Tool Start: {tool_name}", __event_call__)
|
||
|
||
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__
|
||
)
|
||
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 "❌"
|
||
|
||
# Try to detect content type for better formatting
|
||
is_json = False
|
||
try:
|
||
json_obj = (
|
||
json.loads(result_content)
|
||
if isinstance(result_content, str)
|
||
else result_content
|
||
)
|
||
if isinstance(json_obj, (dict, list)):
|
||
result_content = json.dumps(
|
||
json_obj, indent=2, ensure_ascii=False
|
||
)
|
||
is_json = True
|
||
except:
|
||
pass
|
||
|
||
# Format based on content type
|
||
if is_json:
|
||
# JSON content: use code block with syntax highlighting
|
||
result_display = f"\n<details>\n<summary>{status_icon} Tool Result: {tool_name}</summary>\n\n```json\n{result_content}\n```\n\n</details>\n\n"
|
||
else:
|
||
# Plain text: use text code block to preserve formatting and add line breaks
|
||
result_display = f"\n<details>\n<summary>{status_icon} Tool Result: {tool_name}</summary>\n\n```text\n{result_content}\n```\n\n</details>\n\n"
|
||
|
||
queue.put_nowait(result_display)
|
||
|
||
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__
|
||
)
|
||
|
||
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__
|
||
)
|
||
|
||
# === 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__
|
||
)
|
||
|
||
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__
|
||
)
|
||
|
||
# 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__)
|
||
|
||
# Safe initial yield with error handling
|
||
try:
|
||
if self.valves.DEBUG and show_thinking:
|
||
yield "<think>\n"
|
||
if init_message:
|
||
yield init_message
|
||
|
||
if reasoning_effort and reasoning_effort != "off":
|
||
yield f"> [Debug] Reasoning Effort injected: {reasoning_effort.upper()}\n"
|
||
|
||
yield "> [Debug] Connection established, waiting for response...\n"
|
||
state["thinking_started"] = True
|
||
except Exception as e:
|
||
# If initial yield fails, log but continue processing
|
||
self._emit_debug_log_sync(f"Initial yield warning: {e}", __event_call__)
|
||
|
||
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__,
|
||
)
|
||
break
|
||
except asyncio.TimeoutError:
|
||
if done.is_set():
|
||
break
|
||
if state["thinking_started"]:
|
||
try:
|
||
yield f"> [Debug] Waiting for response ({self.valves.TIMEOUT}s exceeded)...\n"
|
||
except:
|
||
# If yield fails during timeout, connection is gone
|
||
break
|
||
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
|