fix: complete web search integration with query enrichment

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>

CHANGELOG.md

@@ -7,6 +7,29 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [1.8.0] - 2025-12-15
+
+### Fixed
+
+#### Steward Routing for Web Search
+- Updated Steward guidelines to route web searches, weather, news → Librarian with `search_web`
+- Added URL/article reading → Librarian with `read_url` to routing guidelines
+- Added examples showing `search_web` and `read_url` tool usage
+
+#### Librarian Agent Tool Registration
+- Registered `search_web`, `read_url`, `read_urls_batch` tools with the Librarian PydanticAI agent
+- Updated Librarian system prompt with Web Search & Content Extraction section
+- Fixed tool count in agent logger (11 → 14 tools)
+
+#### Query Enrichment Integration
+- Fixed enriched query (with location/timezone context) not being passed to delegations
+- Response service now uses `enriched_query` from Steward recommendation for all delegations
+- Weather queries now automatically include user's stored location
+
+#### Action Type Detection
+- Added "read", "fetch", "url", "http" keywords to RESEARCH action type for Librarian
+- Ensures proper think messages for URL reading tasks
+
 ## [1.7.0] - 2025-12-15
 
 ### Added

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "tatlock"
-version = "1.7.0"
+version = "1.8.0"
 description = "OpenAI-compatible API with Ollama backend"
 requires-python = ">=3.12"
 dependencies = []

src/agents/delegation.py

@@ -100,10 +100,13 @@ def _detect_action_type(expert: str, task: str) -> ActionType:
     task_lower = task.lower()
 
     if expert == "librarian":
+        # Web search, URL reading = RESEARCH (fresh external data)
         if any(w in task_lower for w in ["search", "find", "look up", "research"]):
             if any(w in task_lower for w in ["web", "online", "internet"]):
                 return ActionType.RESEARCH
             return ActionType.RETRIEVE
+        if any(w in task_lower for w in ["read", "fetch", "url", "http"]):
+            return ActionType.RESEARCH  # Reading URLs is research
         if any(w in task_lower for w in ["create", "write", "add", "make", "new"]):
             return ActionType.CREATE
         return ActionType.RETRIEVE

src/agents/librarian/agent.py

@@ -19,6 +19,9 @@ from src.agents.librarian.tools import (
     get_wiki_page,
     hybrid_search,
     list_dossiers,
+    read_url,
+    read_urls_batch,
+    search_web,
     search_wiki,
     semantic_search,
     smart_create_wiki_page,
@@ -47,8 +50,17 @@ Your role is to help users find, understand, synthesize, and manage information
 
 ## Your Tools
 
-### Research Tools
+### Web Search & Content Extraction
-- **hybrid_search**: Your primary research tool - searches all sources at once
+- **search_web**: Search the internet for current information (weather, news, facts)
+  - Use for: weather forecasts, current events, recent developments, external facts
+  - Returns extracted content from search results, not just snippets
+- **read_url**: Read and extract content from a specific URL
+  - Use when: user provides a URL or you need to read a specific webpage
+- **read_urls_batch**: Read multiple URLs in parallel (up to 20)
+  - Use for: comparing multiple sources, gathering info from several pages
+
+### Internal Research Tools
+- **hybrid_search**: Your primary research tool - searches wiki, graph, and web at once
 - **search_wiki**: Find specific wiki pages by keyword
 - **semantic_search**: Find conceptually similar content
 - **explore_knowledge_graph** / **find_related_entities**: Discover connections
@@ -130,7 +142,7 @@ def _create_librarian_agent() -> Agent[None, str]:
         retries=2,
     )
 
-    # Register research tools
+    # Register research tools (internal knowledge)
     agent.tool_plain(hybrid_search)
     agent.tool_plain(search_wiki)
     agent.tool_plain(semantic_search)
@@ -139,6 +151,11 @@ def _create_librarian_agent() -> Agent[None, str]:
     agent.tool_plain(explore_knowledge_graph)
     agent.tool_plain(find_related_entities)
 
+    # Register web search & content extraction tools
+    agent.tool_plain(search_web)
+    agent.tool_plain(read_url)
+    agent.tool_plain(read_urls_batch)
+
     # Register wiki read tools
     agent.tool_plain(get_wiki_page)
 
@@ -150,7 +167,7 @@ def _create_librarian_agent() -> Agent[None, str]:
     logger.info(
         "librarian_agent_created",
         model=config.OLLAMA_DEFAULT_MODEL,
-        tool_count=11,
+        tool_count=14,  # 7 research + 3 web + 1 wiki read + 3 wiki write
     )
 
     return agent

src/agents/steward/agent.py

@@ -58,8 +58,9 @@ GUIDELINES:
 - Simple greetings/chat → no capabilities needed (conversational response only)
 - Questions about prior conversation ("what did I say", "my name", "what we discussed") → no capabilities (Tatlock has full history)
 - Math/calculations → tatlock_core
-- Quick web searches → tatlock_core
 - Time/date queries → tatlock_core
+- Web searches, weather, news, current information → librarian with search_web
+- Read a URL or article → librarian with read_url
 - Wiki creation ("create a page about X", "add X to wiki") → librarian with smart_create
 - Wiki updates ("update the page", "add to dossier") → librarian with update
 - Research queries ("find info", "what do we know about", "search for") → librarian with hybrid_search
@@ -74,8 +75,10 @@ COMPLEXITY: [simple/moderate/complex]
 CONTEXT: [any relevant conversation context, or "none"]
 
 EXAMPLES:
+- "DELEGATE: librarian to search_web for tomorrow's weather forecast"
 - "DELEGATE: librarian to create a wiki page about CI/CD pipelines"
-- "DELEGATE: librarian to search for information about Docker networking"
+- "DELEGATE: librarian to hybrid_search for information about Docker networking"
+- "DELEGATE: librarian to read_url https://example.com/article"
 - "DELEGATE: tatlock_core to calculate the result"
 - "DELEGATE: none (conversational response only)"
 

src/responses/service.py

@@ -515,15 +515,18 @@ async def create_response_with_steward(request: ResponseRequest) -> Response:
     from src.agents.tatlock import TatlockAgent
     tatlock = TatlockAgent()
 
+    # Use enriched query (with location/timezone context) if available
+    effective_query = enriched.recommendation.enriched_query or user_message
+
     if delegation_only:
         # Direct delegation path - collect results then synthesize
         orchestration_results = await _direct_delegation_with_results(
-            user_message, enriched.recommendation, tracker, conversation_id
+            effective_query, enriched.recommendation, tracker, conversation_id
         )
     else:
         # Phase 1: Orchestrate tool calls
         orchestration_results = await tatlock.orchestrate_tool_calls(
-            user_message=user_message,
+            user_message=effective_query,
             steward_note=enriched.steward_note,
             scoped_tools=enriched.scoped_tools,
             message_history=conversation_history,