The PR's #176 fail-fast change made collect_all() raise ValueError when
neither an ai: block nor ANTHROPIC_API_KEY/LLM_API_KEY was available.
verification_detector's CLI was updated to handle it; corporate_memory's
CLI was missed and crashed with an unhandled traceback.
services/corporate_memory/collector.py:main() now wraps the collect_all
call in try/except ValueError, prints a one-line actionable message
to stderr, and returns rc=1.
Regression test:
test_llm_connector.py::TestCorporateMemoryCollector::test_main_returns_1_on_no_ai_config_instead_of_traceback.
The PR rewrote collect_all() to call the new
create_extractor_from_env_or_config() helper, but the existing tests
still mocked the old direct create_extractor() symbol and the old
silent-skip-on-missing-config behavior. Five tests in
TestCorporateMemoryCollector and one in TestCollectorExtractorIntegration
were red on the PR branch.
Changes:
- Tests now mock connectors.llm.create_extractor_from_env_or_config
(the symbol the collector imports lazily).
- Renamed test_collect_all_no_ai_config_skips ->
test_collect_all_no_ai_config_or_env_raises and
test_collector_handles_invalid_config -> test_collector_raises_on_invalid_config.
Both assert pytest.raises(ValueError) — the explicit fail-fast
semantics defect 5 of #176 was supposed to enforce.
- collect_all() no longer swallows the factory's ValueError into
stats["errors"]; it propagates so the scheduler / admin endpoint
surface the actionable misconfiguration message instead of
pretending the run was a no-op.
- /api/admin/run-corporate-memory translates the propagated ValueError
into a 500 with the factory's message, matching
/api/admin/run-verification-detector.
Replace hardwired Anthropic API calls with a pluggable provider system.
Each deployment configures its AI provider in instance.yaml — switching
between Anthropic, LiteLLM, OpenRouter, or any OpenAI-compatible proxy
is a config change, not a code change.
New connectors/llm/ module:
- StructuredExtractor Protocol with extract_json() interface
- AnthropicExtractor: direct Anthropic SDK with retry + backoff
- OpenAICompatExtractor: any OpenAI-compatible proxy with three-layer
structured output fallback (json_schema -> json_object -> prompt)
- Configurable structured_output policy (strict/json/auto)
- Custom exception hierarchy (auth/rate_limit/timeout/format/refusal)
- Zero secrets in logs: no API keys, prompts, or responses logged
Reviewed by: Google Gemini, Claude Sonnet, OpenAI GPT-5.4.
Security audit passed with all critical findings resolved.
