chore: release v2.4.2

Fixes the v2.4.1 crash-loop: fresh image builds resolved
opentelemetry-api 1.44.0, which removed the private _events module
that pydantic-ai 1.27 imports at startup.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

.gitea/workflows/build.yml

@@ -25,7 +25,7 @@ jobs:
       - name: Login to Gitea Registry
         uses: docker/login-action@v3
         with:
-          registry: git.schweitz.internal
+          registry: git.schweitz.net
           username: ${{ secrets.REGISTRY_USER }}
           password: ${{ secrets.REGISTRY_PASSWORD }}
 
@@ -37,8 +37,8 @@ jobs:
           provenance: false
           sbom: false
           tags: |
-            git.schweitz.internal/jpmschweitzer/tatlock:latest
+            git.schweitz.net/jpmschweitzer/tatlock:latest
-            git.schweitz.internal/jpmschweitzer/tatlock:${{ github.ref_name }}
+            git.schweitz.net/jpmschweitzer/tatlock:${{ github.ref_name }}
 
       - name: Trigger Watchtower update
         if: success()

CHANGELOG.md

@@ -7,6 +7,19 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [2.4.2] - 2026-07-19
+
+### Fixed
+
+- Container crash-loop on fresh builds: cap `opentelemetry-api` below 1.44,
+  which removed the private `_events` module that pydantic-ai 1.27 imports
+
+## [2.4.1] - 2026-07-19
+
+### Changed
+
+- **Container-name network defaults** - `SEARXNG_HOST`, `LIBRARY_DESK_HOST`, and `CORE_API_HOST` now default to docker container names on the docker-dataplane network (`http://searxng:8080`, `http://library-desk:8089`, `http://core-api:8083`) instead of host `localhost` ports, ahead of the loopback port rebinding; this also fixes `CORE_API_HOST` pointing at port 8090 (the Scheduler's host port) rather than Core-API's 8083. `scripts/test_housekeeper.sh` now reaches Core-API via `localhost:8083` instead of the LAN IP. Local development against host-published ports still works via `.env` overrides
+
 ## [2.4.0] - 2026-07-14
 
 ### Removed

CLAUDE.md

@@ -27,7 +27,7 @@ Dependencies are in `pyproject.toml` (`[project.dependencies]` and `[project.opt
 
 **Claude Sonnet 5+ rejects sampling parameters.** `temperature`/`top_p`/`top_k` return a 400. Use `get_sampling_settings()` from the model selector instead of passing `ModelSettings(temperature=...)` directly to agents that can run on the Claude fallback. The contract test suite pins this (`make test-contracts`).
 
-**Integration test timeouts.** Set to 120s to match `OLLAMA_TIMEOUT` config (300s for the pure-Ollama fallback test, which cannot be rescued by Claude). The full local Steward → orchestrate → synthesize flow takes ~2 minutes on gemma4. Steward analysis alone needs ~35s warm — `STEWARD_TIMEOUT` defaults to 60s.
+**Integration test timeouts.** Set to 120s to match `OLLAMA_TIMEOUT` config (300s for the pure-Ollama fallback test, which cannot be rescued by Claude). Current GPU-resident numbers (2026-07-14, driver 570, gemma4:e2b at ~100 tok/s): Steward analysis ~6s warm, full Steward → orchestrate → synthesize flow 11–25s, librarian-routed queries ~20-25s. The old "~35s steward / ~2 min flow" figures were measured during the CPU-only era (driver mismatch, 13 tok/s) — do not plan against them. Cold start after 2h idle adds ~8s (`OLLAMA_KEEP_ALIVE=2h`). `STEWARD_TIMEOUT` defaults to 60s.
 
 **`get_benchmark_store` does not exist.** The benchmarking module (`src/core/benchmarks.py`) was never implemented. `scripts/benchmark_analysis.py` also references it and is broken. Do not add mocks for it in tests.
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "tatlock"
-version = "2.4.0"
+version = "2.4.2"
 description = "OpenAI-compatible API with Ollama backend"
 requires-python = ">=3.12"
 dependencies = [
@@ -13,6 +13,9 @@ dependencies = [
     "pydantic>=2.11,<2.13",
     "pydantic-settings>=2.12,<2.13",
     "pydantic-ai-slim[openai,anthropic]>=1.27,<1.28",
+    # pydantic-ai 1.27 imports the private opentelemetry._events module,
+    # removed in opentelemetry-api 1.44 — cap until pydantic-ai is bumped
+    "opentelemetry-api>=1.30,<1.44",
     "anthropic>=0.77,<1.0",
     "httpx>=0.28,<0.29",
     "sse-starlette>=3.0,<3.1",

scripts/test_housekeeper.sh

@@ -3,7 +3,7 @@
 # Verifies room groups are controlled by checking actual state changes
 
 API_URL="http://localhost:8777/v1/chat/completions"
-CORE_API="http://192.168.86.149:8083"
+CORE_API="http://localhost:8083"
 RESULTS_FILE="/tmp/housekeeper_test_results.txt"
 
 GREEN='\033[0;32m'

src/core/config.py

@@ -110,8 +110,8 @@ class Config(BaseSettings):
 
     # SearXNG Configuration
     SEARXNG_HOST: HttpUrl = Field(
-        default="http://localhost:8087",
+        default="http://searxng:8080",
-        description="SearXNG server URL"
+        description="SearXNG server URL (container name; internal port 8080)"
     )
     SEARXNG_TIMEOUT: int = Field(
         default=30,
@@ -138,8 +138,8 @@ class Config(BaseSettings):
         description="Total time budget for a librarian delegation in seconds"
     )
     LIBRARY_DESK_HOST: HttpUrl = Field(
-        default="http://localhost:8089",
+        default="http://library-desk:8089",
-        description="Library-Desk API URL"
+        description="Library-Desk API URL (container name; internal port 8089)"
     )
     LIBRARY_DESK_API_KEY: str = Field(
         default="",
@@ -152,8 +152,8 @@ class Config(BaseSettings):
 
     # Core-API Configuration (The Housekeeper backend)
     CORE_API_HOST: HttpUrl = Field(
-        default="http://localhost:8090",
+        default="http://core-api:8083",
-        description="Core-API URL for Home Assistant integration"
+        description="Core-API URL for Home Assistant integration (container name; internal port 8083)"
     )
     CORE_API_KEY: str = Field(
         default="",