fix: complete web search integration with query enrichment
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Fixes several issues with the web search migration to Librarian: - Update Steward routing guidelines for web search/weather → Librarian - Register search_web, read_url, read_urls_batch tools with Librarian agent - Update Librarian system prompt with web search documentation - Fix query enrichment not being passed to delegations (location context) - Add URL reading keywords to RESEARCH action type detection Weather queries now automatically include user's stored location from the Biographer, enabling location-aware search results. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@@ -100,10 +100,13 @@ def _detect_action_type(expert: str, task: str) -> ActionType:
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task_lower = task.lower()
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if expert == "librarian":
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# Web search, URL reading = RESEARCH (fresh external data)
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if any(w in task_lower for w in ["search", "find", "look up", "research"]):
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if any(w in task_lower for w in ["web", "online", "internet"]):
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return ActionType.RESEARCH
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return ActionType.RETRIEVE
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if any(w in task_lower for w in ["read", "fetch", "url", "http"]):
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return ActionType.RESEARCH # Reading URLs is research
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if any(w in task_lower for w in ["create", "write", "add", "make", "new"]):
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return ActionType.CREATE
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return ActionType.RETRIEVE
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@@ -19,6 +19,9 @@ from src.agents.librarian.tools import (
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get_wiki_page,
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hybrid_search,
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list_dossiers,
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read_url,
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read_urls_batch,
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search_web,
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search_wiki,
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semantic_search,
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smart_create_wiki_page,
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@@ -47,8 +50,17 @@ Your role is to help users find, understand, synthesize, and manage information
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## Your Tools
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### Research Tools
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- **hybrid_search**: Your primary research tool - searches all sources at once
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### Web Search & Content Extraction
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- **search_web**: Search the internet for current information (weather, news, facts)
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- Use for: weather forecasts, current events, recent developments, external facts
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- Returns extracted content from search results, not just snippets
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- **read_url**: Read and extract content from a specific URL
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- Use when: user provides a URL or you need to read a specific webpage
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- **read_urls_batch**: Read multiple URLs in parallel (up to 20)
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- Use for: comparing multiple sources, gathering info from several pages
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### Internal Research Tools
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- **hybrid_search**: Your primary research tool - searches wiki, graph, and web at once
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- **search_wiki**: Find specific wiki pages by keyword
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- **semantic_search**: Find conceptually similar content
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- **explore_knowledge_graph** / **find_related_entities**: Discover connections
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@@ -130,7 +142,7 @@ def _create_librarian_agent() -> Agent[None, str]:
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retries=2,
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)
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# Register research tools
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# Register research tools (internal knowledge)
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agent.tool_plain(hybrid_search)
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agent.tool_plain(search_wiki)
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agent.tool_plain(semantic_search)
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@@ -139,6 +151,11 @@ def _create_librarian_agent() -> Agent[None, str]:
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agent.tool_plain(explore_knowledge_graph)
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agent.tool_plain(find_related_entities)
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# Register web search & content extraction tools
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agent.tool_plain(search_web)
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agent.tool_plain(read_url)
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agent.tool_plain(read_urls_batch)
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# Register wiki read tools
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agent.tool_plain(get_wiki_page)
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@@ -150,7 +167,7 @@ def _create_librarian_agent() -> Agent[None, str]:
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logger.info(
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"librarian_agent_created",
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model=config.OLLAMA_DEFAULT_MODEL,
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tool_count=11,
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tool_count=14, # 7 research + 3 web + 1 wiki read + 3 wiki write
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)
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return agent
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@@ -58,8 +58,9 @@ GUIDELINES:
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- Simple greetings/chat → no capabilities needed (conversational response only)
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- Questions about prior conversation ("what did I say", "my name", "what we discussed") → no capabilities (Tatlock has full history)
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- Math/calculations → tatlock_core
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- Quick web searches → tatlock_core
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- Time/date queries → tatlock_core
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- Web searches, weather, news, current information → librarian with search_web
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- Read a URL or article → librarian with read_url
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- Wiki creation ("create a page about X", "add X to wiki") → librarian with smart_create
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- Wiki updates ("update the page", "add to dossier") → librarian with update
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- Research queries ("find info", "what do we know about", "search for") → librarian with hybrid_search
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@@ -74,8 +75,10 @@ COMPLEXITY: [simple/moderate/complex]
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CONTEXT: [any relevant conversation context, or "none"]
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EXAMPLES:
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- "DELEGATE: librarian to search_web for tomorrow's weather forecast"
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- "DELEGATE: librarian to create a wiki page about CI/CD pipelines"
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- "DELEGATE: librarian to search for information about Docker networking"
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- "DELEGATE: librarian to hybrid_search for information about Docker networking"
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- "DELEGATE: librarian to read_url https://example.com/article"
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- "DELEGATE: tatlock_core to calculate the result"
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- "DELEGATE: none (conversational response only)"
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@@ -515,15 +515,18 @@ async def create_response_with_steward(request: ResponseRequest) -> Response:
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from src.agents.tatlock import TatlockAgent
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tatlock = TatlockAgent()
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# Use enriched query (with location/timezone context) if available
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effective_query = enriched.recommendation.enriched_query or user_message
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if delegation_only:
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# Direct delegation path - collect results then synthesize
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orchestration_results = await _direct_delegation_with_results(
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user_message, enriched.recommendation, tracker, conversation_id
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effective_query, enriched.recommendation, tracker, conversation_id
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)
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else:
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# Phase 1: Orchestrate tool calls
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orchestration_results = await tatlock.orchestrate_tool_calls(
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user_message=user_message,
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user_message=effective_query,
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steward_note=enriched.steward_note,
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scoped_tools=enriched.scoped_tools,
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message_history=conversation_history,
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