chore: Add PyPI package support for uvx/pip installation (#1764)

* Initial plan

* Add package structure and resource path utilities

- Created langbot/ package with __init__.py and __main__.py entry point
- Added paths utility to find frontend and resource files from package installation
- Updated config loading to use resource paths
- Updated frontend serving to use resource paths
- Added MANIFEST.in for package data inclusion
- Updated pyproject.toml with build system and entry points

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* Add PyPI publishing workflow and update license

- Created GitHub Actions workflow to build frontend and publish to PyPI
- Added license field to pyproject.toml to fix deprecation warning
- Updated .gitignore to exclude build artifacts
- Tested package building successfully

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* Add PyPI installation documentation

- Created PYPI_INSTALLATION.md with detailed installation and usage instructions
- Updated README.md to feature uvx/pip installation as recommended method
- Updated README_EN.md with same changes for English documentation

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* Address code review feedback

- Made package-data configuration more specific to langbot package only
- Improved path detection with caching to avoid repeated file I/O
- Removed sys.path searching which was incorrect for package data
- Removed interactive input() call for non-interactive environment compatibility
- Simplified error messages for version check

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* Fix code review issues

- Use specific exception types instead of bare except
- Fix misleading comments about directory levels
- Remove redundant existence check before makedirs with exist_ok=True
- Use context manager for file opening to ensure proper cleanup

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* Simplify package configuration and document behavioral differences

- Removed redundant package-data configuration, relying on MANIFEST.in
- Added documentation about behavioral differences between package and source installation
- Clarified that include-package-data=true uses MANIFEST.in for data files

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* chore: update pyproject.toml

* chore: try pack templates in langbot/

* chore: update

* chore: update

* chore: update

* chore: update

* chore: update

* chore: adjust dir structure

* chore: fix imports

* fix: read default-pipeline-config.json

* fix: read default-pipeline-config.json

* fix: tests

* ci: publish pypi

* chore: bump version 4.6.0-beta.1 for testing

* chore: add templates/**

* fix: send adapters and requesters icons

* chore: bump version 4.6.0b2 for testing

* chore: add platform field for docker-compose.yaml

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>
Co-authored-by: Junyan Qin <rockchinq@gmail.com>

src/langbot/pkg/provider/tools/toolmgr.py

@@ -0,0 +1,107 @@
+from __future__ import annotations
+
+import typing
+
+from ...core import app
+from langbot.pkg.utils import importutil
+from langbot.pkg.provider.tools import loaders
+from langbot.pkg.provider.tools.loaders import mcp as mcp_loader, plugin as plugin_loader
+import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
+
+importutil.import_modules_in_pkg(loaders)
+
+
+class ToolManager:
+    """LLM工具管理器"""
+
+    ap: app.Application
+
+    plugin_tool_loader: plugin_loader.PluginToolLoader
+    mcp_tool_loader: mcp_loader.MCPLoader
+
+    def __init__(self, ap: app.Application):
+        self.ap = ap
+
+    async def initialize(self):
+        self.plugin_tool_loader = plugin_loader.PluginToolLoader(self.ap)
+        await self.plugin_tool_loader.initialize()
+        self.mcp_tool_loader = mcp_loader.MCPLoader(self.ap)
+        await self.mcp_tool_loader.initialize()
+
+    async def get_all_tools(
+        self, bound_plugins: list[str] | None = None, bound_mcp_servers: list[str] | None = None
+    ) -> list[resource_tool.LLMTool]:
+        """获取所有函数"""
+        all_functions: list[resource_tool.LLMTool] = []
+
+        all_functions.extend(await self.plugin_tool_loader.get_tools(bound_plugins))
+        all_functions.extend(await self.mcp_tool_loader.get_tools(bound_mcp_servers))
+
+        return all_functions
+
+    async def generate_tools_for_openai(self, use_funcs: list[resource_tool.LLMTool]) -> list:
+        """生成函数列表"""
+        tools = []
+
+        for function in use_funcs:
+            function_schema = {
+                'type': 'function',
+                'function': {
+                    'name': function.name,
+                    'description': function.description,
+                    'parameters': function.parameters,
+                },
+            }
+            tools.append(function_schema)
+
+        return tools
+
+    async def generate_tools_for_anthropic(self, use_funcs: list[resource_tool.LLMTool]) -> list:
+        """为anthropic生成函数列表
+
+        e.g.
+
+        [
+          {
+            "name": "get_stock_price",
+            "description": "Get the current stock price for a given ticker symbol.",
+            "input_schema": {
+              "type": "object",
+              "properties": {
+                "ticker": {
+                  "type": "string",
+                  "description": "The stock ticker symbol, e.g. AAPL for Apple Inc."
+                }
+              },
+              "required": ["ticker"]
+            }
+          }
+        ]
+        """
+
+        tools = []
+
+        for function in use_funcs:
+            function_schema = {
+                'name': function.name,
+                'description': function.description,
+                'input_schema': function.parameters,
+            }
+            tools.append(function_schema)
+
+        return tools
+
+    async def execute_func_call(self, name: str, parameters: dict) -> typing.Any:
+        """执行函数调用"""
+
+        if await self.plugin_tool_loader.has_tool(name):
+            return await self.plugin_tool_loader.invoke_tool(name, parameters)
+        elif await self.mcp_tool_loader.has_tool(name):
+            return await self.mcp_tool_loader.invoke_tool(name, parameters)
+        else:
+            raise ValueError(f'未找到工具: {name}')
+
+    async def shutdown(self):
+        """关闭所有工具"""
+        await self.plugin_tool_loader.shutdown()
+        await self.mcp_tool_loader.shutdown()