gongzhiyongandClaude Sonnet 4.6
ac843da725
- Add langchain-community dependency for GoogleSerperAPIWrapper - Add serper_api_key to config with default key - Create app/tools/serper.py with async serper_search tool - Register "serper" key in tools/__init__.py (independent from "search"/Jina MCP) - Add tool title and input/output summaries in chat.py - Set SERPER_API_KEY on Azure App Service (Operation resource group) Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
29 lines
990 B
Python
29 lines
990 B
Python
"""LangChain tool definitions for the ReAct agent."""
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from app.tools.kb import kb_search
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from app.tools.tickets import ticket_list, ticket_detail
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from app.tools.document import generate_document
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from app.tools.sandbox import sandbox_run
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from app.tools.serper import serper_search
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# Mapping from frontend tool names to LangChain tool objects.
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# "search" is no longer here — it is handled via Jina MCP in chat.py.
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# "serper" uses Google Serper REST API, independent from Jina MCP.
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_TOOL_MAP: dict[str, list] = {
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"knowledge": [kb_search],
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"tickets": [ticket_list, ticket_detail],
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"document": [generate_document],
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"sandbox": [sandbox_run],
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"serper": [serper_search],
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}
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def resolve_tools(tool_keys: list[str]) -> tuple[list, bool]:
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"""Return (regular_tools, needs_jina_mcp)."""
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needs_jina_mcp = "search" in tool_keys
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tools = []
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for key in tool_keys:
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if key in _TOOL_MAP:
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tools.extend(_TOOL_MAP[key])
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return tools, needs_jina_mcp
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