Commit Graph
7 Commits
Author SHA1 Message Date
jpmschweitzerandClaude 5b67f5b66c fix: clear the ruff findings that needed a decision
The 21 the automatic pass could not make on its own. `ruff check` and
`ruff format --check` are both clean now; typecheck is still red and is next.

`in_reasoning` in chat/service.py was a complete state machine that nothing read:
initialised False, set True when a reasoning delta arrived, set False when the
summary ended — three assignments, zero reads. Ruff reported one at a time, and
removing each revealed the next, so what looked like a single stray variable took
three passes to bottom out. The branches themselves do real work and are
untouched; only the flag is gone.

Four `raise HTTPException` inside `except` blocks now chain with `from e`. Until
now a failure while handling an error was indistinguishable from the error, which
matters most in exactly the situation where the traceback is all you have.

In biographer/tools.py the binding was unused but the call is not: MemoryType()
is called for the ValueError it raises on an invalid name. The binding is gone
and the call and its comment stay, because dropping the line would have removed
the validation.

The rest are unused bindings in tests where the assertions are on something else
(call_args, mostly), plus three unused loop variables and an isinstance tuple.

One correction to my own work: removing a dead comprehension in
test_error_handling.py left an `if` block with nothing but comments in it, which
is a SyntaxError. Ruff caught it immediately. The block now says what the test
actually pins — that the stream parses without crashing, which reaching that line
demonstrates — rather than computing a list nobody asserts on.

`make test` is intermittent here, and it is not this change.
test_tatlock_tool_call_logging_calculator failed in two of five full runs across
both HEAD and this branch, and passes in the other three; it also fails in
isolation at HEAD while passing in isolation here. Order- or timing-dependent.
Recorded rather than chased, since tests are not gated in this repo yet.

Co-Authored-By: Claude <noreply@anthropic.com>
2026-08-11 17:37:33 +02:00
jpmschweitzerandClaude 78066fab1b style: apply ruff's automatic fixes and formatter
Mechanical only, and separated from the judgment calls that follow so the
reviewable changes are not buried in a 98-file whitespace diff.

227 automatic fixes: 60 blank lines carrying whitespace, 60 unsorted import
blocks, 34 Optional[X] to X | None, 28 unused imports, 16 deprecated typing
imports, 12 datetime.timezone.utc to datetime.UTC, and assorted smaller
modernisations. Then `ruff format` over src and tests: 98 files reformatted,
35 already conforming.

No file among the unused-import findings defines __all__ or is an __init__.py,
so nothing here removes a re-export.

`make test`: 658 passed, unchanged from HEAD.

Two things observed while verifying, neither addressed here:

`pytest tests/` cannot collect — tests/e2e/test_orchestration_e2e.py uses an
`e2e` marker that is not registered, and the config is strict about markers.
This fails identically at HEAD, so it predates this change; `make test` passes
because it ignores tests/e2e, tests/integration and tests/contracts.

test_tatlock_tool_call_logging_calculator is flaky. It failed once in a full run
with these changes and passed on the next, passes in isolation with them, and
fails in isolation at HEAD. It is order- or timing-dependent, not a regression
from this commit — established by running the full suite both ways rather than
by reasoning about which change could have caused it.

Co-Authored-By: Claude <noreply@anthropic.com>
2026-08-11 17:25:18 +02:00
jpmschweitzerandClaude Opus 4.5 4907798e74 fix: use reasoning_content for Open WebUI streaming
Build and Push / build (release) Successful in 51s
Use DeepSeek R1 format (reasoning_content field) instead of <think>
tags in content. Open WebUI now renders thinking as proper
collapsible blocks instead of broken escaped HTML.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-16 00:56:45 +01:00
jpmschweitzerandClaude Sonnet 4.5 6eed5f4d13 feat: implement Phase 2 two-tier architecture with Steward
Add comprehensive two-tier architecture where Steward analyzes requests
and Tatlock executes with scoped tools. Includes full infrastructure for
request preprocessing, tool tracking, benchmarking, and streaming.

**Added:**
- Steward agent for request analysis and capability recommendation
- Household Registry for centralized capability management
- Request preprocessing pipeline (Steward → Tatlock flow)
- Tool usage tracking and benchmarking system
- Streaming transparency (Steward reasoning visible in streams)
- Structured logging with operation timing
- Redis benchmark storage with 30-day expiry
- Benchmark analysis CLI tools

**Infrastructure:**
- src/agents/steward/ - Steward agent implementation
- src/agents/tatlock_core/ - Tatlock capability domain
- src/core/preprocessing.py - Request preprocessing pipeline
- src/core/tool_tracking.py - Tool call tracking
- src/core/benchmarks.py - Benchmark recording system
- src/core/household_registry.py - Capability registry
- src/core/startup.py - Application startup coordination
- src/core/logging_config.py - Structured logging setup

**Integration:**
- Responses API uses Steward for Tatlock requests
- Chat Completions wraps Responses API for OpenAI compatibility
- Streaming coordinator supports Steward + Tatlock flow
- Tool scoping per request based on Steward recommendations

**Testing:**
- Integration tests for Steward-Tatlock flow
- Benchmark and registry unit tests
- Steward streaming tests

See PHASE2_PLAN.md and PHASE2_COMPLETE.md for detailed documentation.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-07 15:39:20 +01:00
jpmschweitzer 4216d89f12 fix: resolve streaming duplication and markdown formatting issues
- Fix text duplication bug with proper delta calculation
- Preserve markdown formatting with chunk-based delivery (50 chars)
- Handle GeneratorExit errors from async context managers
- Update Chat service streaming to preserve formatting
- Ensure proper word-by-word streaming without duplicates
2025-12-07 00:12:52 +01:00
jpmschweitzerandClaude 5e40704d91 Add Chat Completions wrapper with reasoning conversion
Implements Phase 5: OpenAI Chat Completions compatibility layer

Features:
- Wraps Responses API for single source of truth
- Automatically enables reasoning generation
- Converts reasoning items to <think> tags for Open WebUI
- Maintains OpenAI-compatible chat completion format
- Supports both streaming and non-streaming modes
- Pipeline prefix preservation for model names
- System message handling

Architecture:
- Service layer calls Responses API internally
- Streams word-by-word for smooth UX
- Reasoning displayed in thought bubbles (Open WebUI)
- Main response shown separately from thinking

Error Handling:
- Enhanced exception types (RateLimitError, ContextLengthError)
- OpenAI-compatible error format
- Graceful error propagation from Responses API

Testing:
- 6 unit tests for chat router functionality
- 6 unit tests for streaming wrapper behavior
- Total: 12 tests with comprehensive coverage

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-06 19:38:35 +01:00
jpmschweitzerandClaude cf6aa9a5e7 Implement chat completions domain with mock responses
Add OpenAI-compatible chat completions endpoint with streaming support.
Currently returns mock lorem ipsum responses (Ollama integration pending).

Chat Router (src/chat/router.py):
- POST /v1/chat/completions endpoint
- Streaming and non-streaming support
- SSE format with EventSourceResponse
- 20-second timeout protection
- OpenAI-compatible response format

Chat Schemas (src/chat/schemas.py):
- ChatMessage, ChatCompletionRequest
- ChatCompletionResponse, ChatCompletionChoice
- ChatCompletionChunk for streaming
- Full OpenAI API compatibility

Chat Service (src/chat/service.py):
- create_chat_completion() - non-streaming
- create_chat_completion_stream() - streaming word-by-word
- Mock lorem ipsum responses
- Token usage calculation

Chat Constants (src/chat/constants.py):
- OpenAI API constants for consistency
- Object types, roles, finish reasons

Following Best Practices:
- Business logic in service layer
- Router only handles HTTP concerns
- Async generators for streaming
- Type hints throughout

Model: mistral-nemo:latest
Status: Mock implementation (ready for Ollama integration)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-06 10:36:57 +01:00