Preserve bootstrap schema error paths for targeted correction

src/viano_bug_analysis/analysis/investigator.py

@@ -618,6 +618,12 @@ class Investigator:
                     'oneOf':'choose_one_valid_next_action',
                     'anyOf':'match_an_allowed_shape',
                 }.get(info.get('validation_keyword'),'match_schema_at_validation_path')
+                if context.get('bootstrap_json_framing'):
+                    context['previous_rejection_details']['requirement']={
+                        'type':'match_expected_type_at_validation_path',
+                        'enum':'use_allowed_value_at_validation_path',
+                        'const':'use_allowed_value_at_validation_path',
+                    }.get(info.get('validation_keyword'),context['previous_rejection_details']['requirement'])
             elif code == 'LLM_RESPONSE' and context.get('prompt_version') in {'investigation_project_v16','investigation_project_v17','investigation_project_v18'}:
                 with PackageReader(self._latest(state['case_id'],state['package_id']),self.store.limits) as reader:
                     call=self._read(reader,llm_ref,'llm-call')

src/viano_bug_analysis/llm/diagnostics.py

@@ -11,7 +11,7 @@ VALIDATION_FIELDS = frozenset({'retire','finding_id','intent','hypothesis_id','a
     'prerequisites','requested_observations','environment','countercheck_refs','path',
     'start_line','end_line','limit','offset','table','columns','filters','column','operator',
     'value','text','case_sensitive','path_prefix','source_ref','source_refs','note','causal_review',
-    'next_step','goal','supports_if','weakens_if','investigate_if'})
+    'next_step','goal','supports_if','weakens_if','investigate_if','profile','entity_refs'})
 
 
 def schema_feedback(error, _depth=0, *, include_keyword=False):

src/viano_bug_analysis/llm/gateway.py

@@ -155,7 +155,7 @@ class LLMGateway:
                 LOGGER.warning("LLM endpoint unavailable provider=%s code=%s", provider.id, code)
             except ValidationError as invalid:
                 info={'validation_keyword':invalid.validator}
-                if request['prompt_version'] in {'investigation_project_v14','investigation_project_v15','investigation_project_v16','investigation_project_v17','investigation_project_v18','investigation_project_v19','investigation_project_v20'}:
+                if request['prompt_version'] in {'investigation_bootstrap_v21','investigation_project_v14','investigation_project_v15','investigation_project_v16','investigation_project_v17','investigation_project_v18','investigation_project_v19','investigation_project_v20'}:
                     from .diagnostics import schema_feedback
                     info.update(schema_feedback(invalid,include_keyword=True))
                 error = LLMError("LLM_OUTPUT_SCHEMA",diagnostics=info)