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6e194f4b59
* fix(qa): tolerate non-dict JSON from QA LLM instead of crashing
parse_llm_json is explicitly designed to return a list when the model emits a
top-level JSON array (it has a dedicated test for that). The QA analyzers then
call parsed.get("tags", ...) directly on the result. When parsed is a list,
that raises AttributeError, which is NOT caught by the surrounding
except (json.JSONDecodeError, ValueError) — so a single stray array response
from the QA model crashed the entire QA analysis run instead of degrading to
empty results.
The live variable-extraction path already guards this exact case with an
isinstance(..., dict) check; mirror it in both QA analysis call sites
(_run_qa_analysis per-node and _run_whole_call_qa_analysis fallback) so a
non-dict parse result coerces to {} and the run produces empty defaults.
Adds a regression test that drives the whole-call analyzer with an array
response and asserts empty results rather than a crash.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* fix(qa): log non-object QA JSON responses
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: Abhishek Kumar <abhishek@a6k.me>
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| .. | ||
| auth | ||
| campaign | ||
| configuration | ||
| filesystem | ||
| gen_ai | ||
| gender | ||
| integrations | ||
| pipecat | ||
| reports | ||
| telephony | ||
| voice_prompting_guide | ||
| worker_sync | ||
| workflow | ||
| managed_model_services.py | ||
| mps_billing.py | ||
| mps_service_key_client.py | ||
| organization_context.py | ||
| organization_preferences.py | ||
| posthog_client.py | ||
| quota_service.py | ||
| storage.py | ||
| tool_management.py | ||
| user_onboarding.py | ||
| workflow_run_billing.py | ||