search_wiki printed ordinally numbered results with no page ID while
get_wiki_page demands 'the page ID from search results' - the model
passed the list position (page 1) and 404'd. Results now carry
page_id and drop the ordinals.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
The scholarly persona prompt reproduced the exact pathology
TATLOCK_ORCHESTRATION_PROMPT fixed for the butler: gemma4 answered in
character ('please provide your request') without calling a single tool.
The research phase now uses a tool-discipline prompt; Tatlock's synthesis
supplies the voice. Anti-fabrication rules kept verbatim.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Post-coordination-removal sweep: the coordination wire protocol
(AgentRequest, AgentResponse, DelegationIntent, CoordinationResult,
DelegationReason, TaskComplexity, ToolCallRecord, AgentTimeoutError,
AgentUnavailableError, DelegationError) had zero importers left in
src/ - only its own test module. AgentError stays (raised by
run_librarian, mapped to user-safe failures by delegation.py).
Also drops the stale coordination.py line from the README tree.
Import-cycle sanity: python -c 'import src.main' passes.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01QbFZyDvYksazX6nYQYZ67L
Phase A review minors:
- Coverage note: source_status (when present) is now used exclusively;
the source_counts-absence fallback only considers the optional legs
the request explicitly enabled (web/documents/volatile). library-desk
computes source_counts from the final top-N fused results only, so
absence of the always-on vector/graph legs is normal ranking behavior
- the old heuristic warned on virtually every healthy search
- update_wiki_page: the empty-list tags sentinel (leave unchanged) made
clearing all tags impossible; pass exactly ["__CLEAR__"] to send an
empty tag list, documented in the docstring for the local model
- Text-delegation parallel fallback: zip(..., strict=True) with an
explicit count-mismatch guard so results can never be silently
attributed to the wrong agent
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01QbFZyDvYksazX6nYQYZ67L
One delegation implementation remains (src/agents/delegation.py).
Removed, after verifying zero live importers post-Phase-A/B:
- src/agents/coordination.py: CoordinationEngine, duplicate
delegate_to_librarian, AGENT_EXECUTORS/AGENT_STREAM_EXECUTORS
(only importer was its own test module)
- run_librarian_stream: documented-broken path (Ollama streaming +
tool call bug, PydanticAI #1292/#2256), only called by the deleted
coordination engine
- stream_delegate_to_* wrappers + STREAMING_DELEGATION_WRAPPERS and
the never-parsed __DELEGATION_RESULT__ marker in delegation.py
- HouseholdRegistry.get_streaming_delegation_tools() (no callers)
- tests/agents/test_coordination.py and the wrapper/stream tests
Note: the STREAMING_DELEGATION_WRAPPERS import in
src/responses/streaming.py was already removed by Phase A (7ce1c1a);
nothing to delete there.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01QbFZyDvYksazX6nYQYZ67L
LibraryDeskClient._resolve_user only enforced non-empty: an explicit
user argument to any tenant-scoped method bypassed tatlock's tenant
guard entirely and went straight to library-desk, and padded values
were sent un-stripped on the wire.
Route the explicit-arg path through the same apply_tenant_guard() used
by context resolution and strip whitespace before the empty check, so
a non-production environment can never send the production tenant (or
a sanitization-collision variant) to library-desk, regardless of how
the user was supplied. Defense in depth - no in-repo caller passes an
explicit user today.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Library-desk is removing its server-side default user, so a request
without an explicit tenant will 422 after its next deploy:
- New client-level _resolve_user() resolves the tenant (explicit arg
or request context) and raises ValueError on an empty/whitespace
value BEFORE any bytes hit the wire; all 15 tenant-scoped methods
use it
- extract_content / extract_content_batch now accept and send the
user (query param), matching the rest of the API surface
- search_web no longer falls back to a phantom "tatlock-librarian"
tenant; it sends the resolved user
- health_check stays user-less (public, not tenant-scoped)
Tests: parametrized sweep pins the wire contract (user present in
params or payload) for every tenant-scoped method, for both context
and explicit users; empty-tenant calls are asserted to fail without
any HTTP call; the recorded-fixture hybrid contract test now pins
user as an explicit query param.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
- delegate_to_* now receives a trimmed conversation history (last ~6
turns, 500 chars/turn) as context on both live direct-delegation
paths (streaming and steward non-streaming), via new
build_delegation_context helper
- _stream_direct_delegation restructured as an async generator: the
butler 'start' think message streams BEFORE the expert runs and the
success/error message right after it finishes, instead of all
messages arriving after the research completed
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Ollama's OpenAI-compatible API mishandles anyOf[X, null] parameter
schemas. update_wiki_page (content/title/tags/description) and
smart_create_wiki_page (path) now use empty-string/empty-list
sentinels translated to None inside the tool, following the
biographer pattern from 9d7ce39.
Adds a snapshot test that walks every registered librarian tool's
emitted JSON schema and fails on any anyOf[..., null].
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
- 2-attempt short-backoff retry for GETs and the read-only
POST /query/* and /rag/search endpoints only; wiki writes are never
retried (duplicate-page risk)
- honor the defined-but-ignored LIBRARY_DESK_TIMEOUT config instead of
hardcoded 60s/30s per-call values
- hold ONE shared httpx.AsyncClient per librarian run via
library_client_session (contextvar), instead of constructing a
client per tool call; nested sessions are no-ops and custom targets
still get their own client
- read tools raise ModelRetry on transient HTTP errors (transport
errors, 5xx, 429) so Agent(retries=2) engages; write tools keep
returning safe failure messages
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
- add LIBRARIAN_TIMEOUT config (default 180s) and enforce it with
asyncio.wait_for inside delegate_to_librarian, covering the live
paths (steward direct delegation and SSE streaming) that had no cap
- timeouts fail honestly: success=False with a curated butler sentence,
detail in logs
- set an explicit timeout on TatlockOllamaProvider's AsyncOpenAI client
from OLLAMA_TIMEOUT instead of the SDK default (~600s per LLM call)
- remove the contradictory unused 60s default from
AgentRequest.timeout_seconds; coordination falls back to the
configured budget
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
- parse source_counts into HybridRAGResponse and additively parse the
shared-contract source_status/degraded fields when present (absence
tolerated, so deploy order between tatlock and library-desk never
matters)
- hybrid_search appends a one-line coverage note when a leg reported
'failed' (or degraded is set), falling back to inferring silent legs
from source_counts on older library-desk versions
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
- run_librarian / run_librarian_stream raise AgentError instead of
returning/yielding error text as normal output; detail stays in logs
- delegate_to_* wrappers now put a curated butler-toned sentence in
DelegationResult.output on failure and never expose str(e), so
streaming's error branch is reachable and honest
- _execute_single_delegation propagates success; direct delegation only
records delegate_to_* as called when the expert actually succeeded
- librarian tools return user-safe messages instead of
'Error searching: {e}' strings that leaked internal URLs into
synthesis; coordination stream errors are curated as well
- ruff cleanups (TYPE_CHECKING forward refs, B904, unused locals) in
the touched files to keep them lint-clean
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
The client parsed field names the live library-desk service never
returns, so every result rendered as "unknown (score: 0.00)":
- source_type/sources -> source + sources (icons key off sources values)
- rrf_score -> score
- context -> formatted_context
- related_dossiers are per-result; top level aggregates unique titles
- synonyms live inside the keywords dict as a {term: [synonyms]} map
Also stop sending zero limits (service 422s on limit < 1); disabled
legs now rely on the enable_* flags with limits clamped to >= 1.
Adds a recorded live response as a fixture plus contract tests that
pin the mapping (non-unknown sources, non-zero scores, icon coverage).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Mechanical Optional[X] -> X | None and f-string cleanups so subsequent
librarian changes lint clean against the dirty baseline.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
With the butler persona prompt attached, gemma4 reasons about calling the
calculator and then answers from memory with a different wrong product every
run; tool_choice=required via extra_body is advisory at best on Ollama's
OpenAI-compat layer. orchestrate_tool_calls() now uses a terse
TATLOCK_ORCHESTRATION_PROMPT; synthesize_from_results() keeps the persona,
so the user-visible voice is unchanged.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Rolls back the claudification backend preference: PREFER_CLOUD_BACKEND now
defaults to false, resolve_backend() picks Ollama first and uses Claude when
explicitly preferred or when the new Ollama startup health check fails. The
Steward retries mid-request failures on the other backend in both directions.
Also hardens the fallback itself: Anthropic SDK imports are lazy so a broken
anthropic package degrades to Ollama-only instead of crashing at import time
(root cause of the production outage since April), anthropic is pinned to a
pydantic-ai-1.27-compatible range, ANTHROPIC_MODEL defaults to claude-sonnet-5
(sonnet-4-20250514 retired 2026-06-15), sampling parameters are stripped from
Claude calls (Sonnet 5 rejects them), and the Steward timeout is configurable
(STEWARD_TIMEOUT, default 60s) since gemma4 needs ~35s warm for analysis.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
PydanticAI handles tool_choice natively for Anthropic. The extra_body
hack caused an infinite tool call loop where Claude kept calling the
same tool because tool_choice was forced to "any".
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
All agents now prefer Claude API when ANTHROPIC_API_KEY is configured,
with automatic fallback to Ollama when offline or unconfigured. New
src/anthropic/ module provides model selection via get_model() factory.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add Paperless document search to HybridRAG pipeline
- Add volatile cache (weather, forecast, news, stocks) to HybridRAG
- Add include_documents and include_volatile params to hybrid_search
- Add 📑 and ⚡ icons for document/volatile sources
- Update Librarian prompt with new data source awareness
- Fix Biographer routing: personal memory queries now route correctly
- Add location keywords to Steward pre-fetch logic
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Strengthened personality prompt to prevent unnecessary apologies after
successful Librarian delegations. Added explicit "do NOT apologize"
instructions to both system prompt and synthesis prompt.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add explicit instructions to the Librarian system prompt to never
invent data when tools fail or data sources are unavailable.
- Report what failed specifically
- Never provide placeholder or made-up data
- Better to return no information than fabricated information
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Instrument the full request flow with trace spans for debugging:
- Wrap expert delegations (librarian/biographer/housekeeper) in spans
- Add orchestrate and synthesize spans to TatlockAgent
- Trace Steward analysis in preprocessing
- Start/end traces in response service with context management
- Simplify router by moving context handling to service layer
- Include tracing router in debug mode
- Remove benchmark recording from tool_tracking and steward service
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Rewrite system prompt with negative constraints and step-by-step process
- Set temperature to 0.1 for deterministic tool calling
- Sort room groups to top of device list (address positional bias)
- Add [ROOM GROUP] marker in list_devices output
- Update tool docstrings with explicit entity_id= parameter examples
- Add optimization findings doc (experiment log: 0% → 100% success)
- Add test script for room group detection regression testing
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Update all client endpoints to use /housekeeping/ prefix
- Add critical rule requiring list_devices() before control actions
- Add housekeeping API spec documentation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Messages in reasoning_content should be plain text, not wrapped
in <think> tags. Removed wrappers from:
- delegation.py household think messages
- orchestration.py status messages
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
library-desk now returns keywords as dict with core_keywords field.
Client now handles both list and dict formats for backwards compat.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Fix `invalid message content type: <nil>` error from Ollama
- Create TatlockOllamaProvider that sanitizes messages (null → "")
- Update all agents to use sanitized provider
- Fix repeating think messages by adding ReasoningSummaryDone signal
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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>
Move web search functionality to The Librarian agent, integrating with
the library-desk /rag/search endpoint for enhanced search capabilities.
Changes:
- Add search_web, read_url, read_urls_batch tools to Librarian
- Add WebSearchResult, ContentExtractionResult models to client
- Add search_web, extract_content, extract_content_batch client methods
- Update Librarian capability with web/url/internet domains
- Remove search_web from tatlock_core tools and toolset
- Update Tatlock system prompt to delegate web search to Librarian
- Add comprehensive unit tests for new Librarian tools
- Clean up legacy src/agents/tools.py
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Two-Phase Tatlock Execution:
- orchestrate_tool_calls() for Phase 1 coordination
- synthesize_from_results() for Phase 2 butler-toned synthesis
- Guarantees butler personality in all responses
Automatic Think Slugs:
- Deterministic butler-perspective messages during expert delegation
- ActionType enum: RETRIEVE, RESEARCH, CREATE, CONTROL, RECORD
- HOUSEHOLD_THINK_MESSAGES mapping for all experts
- Streaming delegation wrappers with automatic think messages
Steward Query Enrichment:
- Auto-fill user context (location, timezone) when not specified
- _build_enriched_query() with regex word boundary matching
- enriched_query field in StewardRecommendation schema
Documentation:
- ORCHESTRATION_SCENARIOS.md rewritten with Mermaid diagrams
- New Housekeeper and Biographer scenarios
- TESTING_IMPROVEMENTS.md for future LLM testing patterns
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Implements The Housekeeper, a new expert agent for home automation
following the Librarian pattern. Communicates with core-api service
which wraps Home Assistant REST API.
New agent features:
- CoreAPIClient with 13 home automation methods
- 13 tools: list_areas, list_devices, get_device_state, turn_on,
turn_off, toggle, list_scenes, activate_scene, list_scripts,
run_script, list_automations, toggle_automation, get_history
- PydanticAI agent with butler-friendly system prompt
- HouseholdCapability registration for Steward coordination
- delegate_to_housekeeper() wrapper for orchestration
Also includes:
- Dev port changed from 8123 to 8777 (avoids Home Assistant conflict)
- Config: CORE_API_HOST, CORE_API_KEY, CORE_API_TIMEOUT
- 44 unit tests for client and capability
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
### Added
- Environment-aware configuration:
- Auto-selected logging (DEBUG for dev, WARNING for prod)
- Auto-selected default user (llm_tester for dev isolation)
- User context logging at request entry
- Direct delegation bypass:
- Pure memory/librarian requests skip Tatlock LLM
- Reduces latency for memory-only requests
- Text-based delegation fallback:
- Parse [DELEGATE:agent] patterns from LLM output
- Sequential and parallel execution support
- Comprehensive E2E test suite:
- 22 orchestration tests with QdrantVerifier
- assert_llm_behavior() for flexible pattern matching
- Tests for memory, delegation, isolation, scenarios
### Fixed
- Unit test mocks for streaming (async generator)
- Temporal context handling in tests
- LLM non-determinism with pytest.xfail()
- Streaming test timeouts increased
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Change `str | None` to `str` with empty default for memory_type
- Remove `keywords` parameter from store_insight (auto-generated anyway)
- Ollama's OpenAI API doesn't handle union types with None properly
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add The Biographer household member for user memory management:
Memory Service (direct access layer):
- src/core/memory_service.py for fast, LLM-free lookups
- Profile, preference, and fact management
- Session context with Redis caching
- Steward integration via prefetch_context()
The Biographer Agent:
- src/agents/biographer/ package with PydanticAI agent
- Discreet chronicler personality for privacy
- Tools: recall_semantic, list_memories, store_insight,
update_profile, update_preference, forget_memory
- Registered with Household Registry on startup
Steward Integration:
- Memory context pre-fetch during analysis
- Profile/preferences included in Butler note
- Keyword-based context determination
Also includes:
- delegate_to_biographer() wrapper
- 34 new tests (capability + memory service)
- Version bump to 1.2.0
Documentation cleanup:
- Removed obsolete PHASE2_COMPLETE.md, PHASE2_PLAN.md
- Removed docs/library-desk-requirements.md
- Moved ORCHESTRATION_SCENARIOS.md to project root
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Adds multi-expert coordination infrastructure:
- ExecutionMode enum (SEQUENTIAL, PARALLEL)
- MultiExpertResult dataclass for aggregating results
- execute_sequential(): Tasks run one after another
- execute_parallel(): Tasks run concurrently via asyncio.gather
- orchestrate_multi_expert(): Streaming think updates during multi-expert work
Supports:
- Stop-on-failure mode for sequential execution
- Partial failure handling (some succeed, some fail)
- Result aggregation with combined output formatting
- Exception handling in parallel execution
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Creates orchestration module for multi-expert coordination:
- parse_delegation_from_steward_note(): Extracts delegation task
- execute_delegation(): Routes to appropriate expert agent
- orchestrate_with_think_updates(): Streams <think> updates around
delegation calls while using run() internally
This enables real-time user feedback while avoiding Ollama's
streaming+tool call bugs.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Updates Steward's output format to structured delegation format:
- DELEGATE: [capability] to [action] [task]
- REASON: [explanation]
- COMPLEXITY: [simple/moderate/complex]
- CONTEXT: [relevant history or "none"]
Also adds guidance for conversation memory queries (handled by
Tatlock directly, not delegated to Librarian).
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Introduces agent-as-tool pattern infrastructure:
- DelegationTask: Structured representation of expert work
- DelegationResult: Typed result from expert delegation
- delegate_to_librarian(): Wrapper for Librarian agent calls
This implements PydanticAI's recommended delegation pattern where
parent agents call child agents via tool wrappers.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
PydanticAI + Ollama streaming with tool calls has known issues:
- Issue #1292: Streaming stops after tool call due to empty TextPart
- Issue #2256: Empty text part causes run to end prematurely
This change uses run() for the actual tool execution while still
yielding the response in chunks to maintain the streaming UX.
The orchestration loop can emit <think> updates between await calls.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Update Librarian capability description to highlight CREATE/UPDATE/SEARCH
- Add specific Steward guidelines for wiki creation, updates, and research
- Add dynamic time injection to user prompts for temporal awareness
- Expand domains to include 'create', 'write', 'update'
- Update test to match new capability description
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- CoordinationEngine for task orchestration between agents
- Routing tasks to appropriate expert agents
- Sequential and parallel execution support
- Result aggregation from multiple agents
- Graceful error handling and degradation
- Streaming delegation support
- Convenience functions: delegate_to_librarian(), delegate_to_librarian_stream()
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Library-Desk API Client:
- Async HTTP client with httpx for library-desk API
- HybridRAG search (vector + graph + web)
- Wiki operations (search, get, list, create, update)
- Smart page creation with HybridRAG research
- Semantic vector search and knowledge graph queries
- Dossier browsing and health checks
Librarian Tools (11 total):
- Research: hybrid_search, search_wiki, get_wiki_page, semantic_search
- Browse: list_dossiers, get_dossier_pages, explore_knowledge_graph
- Graph: find_related_entities
- Write: create_wiki_page, update_wiki_page, smart_create_wiki_page
Agent:
- PydanticAI agent with research assistant personality
- System prompt with research and writing workflows
- Streaming support via run_librarian_stream()
Capability:
- LIBRARIAN_CAPABILITY definition for Household Registry
- Automatic registration on startup
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Fix streaming issues that caused text repetition and broken tool execution
in Open WebUI. Implements real LLM streaming using PydanticAI's run_stream()
with delta=True instead of artificial word-by-word chunking.
**Fixed:**
- Text repetition in streaming output (was accumulating instead of deltas)
- Broken tool execution (tools now execute properly in streaming mode)
- Invalid 'thinking' parameter in ReasoningOutputItem schema
**Changes:**
- Add run_with_scoped_tools_stream() method to TatlockAgent
- Uses PydanticAI's run_stream() with delta=True for real deltas
- Properly streams LLM output with tool execution
- Update StreamingCoordinator.stream_response_with_steward()
- Uses new streaming method instead of fake word-by-word streaming
- Removes invalid thinking parameter from ReasoningOutputItem
- All streaming now uses actual LLM deltas, not accumulated text
Resolves streaming issues reported in Open WebUI where responses showed
repetitive text and tool calls appeared as raw JSON instead of executed results.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Add two major features to enhance Tatlock's capabilities:
1. Conversation History Support:
- Convert OpenAI-format messages to PydanticAI ModelRequest/ModelResponse
- Pass full conversation context via message_history parameter
- Filter empty messages to prevent Ollama errors
- Add debug logging for message history construction
- Tatlock now remembers previous turns in multi-turn conversations
2. Tool Call Logging:
- Implement ToolCallTracker dependency for per-request tracking
- Tools log usage via RunContext deps parameter
- Web search: "🔍 Searching for: 'query'"
- Calculator: "🧮 Calculating: expression"
- Date/time: "🕐 Calculating date offset: description"
- Tool logs appear in reasoning output as <think> tags in Open WebUI
Both features improve user experience by maintaining conversation context
and providing transparency into tool usage.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Convert Tatlock from mock to real PydanticAI agent:
- Connect to Ollama backend (mistral-nemo:latest)
- British butler personality with research-oriented mindset
- Lazy initialization pattern for better testability
- Register permanent tools (calculator, date/time, search)
- Streaming response support with reasoning output
- Error handling for PydanticAI exceptions
- Update registry tests for tools capability
- Add integration test for streaming functionality
