Added a configuration flag to set the target number of sections, and updated default min and max section token limits

tests/test_framework_runner.py

@@ -498,7 +498,7 @@ def test_pipeline_runner_collects_section_proposals_concurrently_and_preserves_s
     module = ConcurrentRecordingModule(seen, threading.Barrier(2, timeout=1.0))
     monkeypatch.setattr(
         "audita.framework.runner.chunk_transcript",
-        lambda working, max_tokens, min_section_tokens=1, target_section_count=None: sections,
+        lambda working, max_tokens, min_section_tokens=1, target_section_count=None, exact_target_section_count=None: sections,
     )
 
     runner = PipelineRunner()
@@ -517,6 +517,55 @@ def test_pipeline_runner_collects_section_proposals_concurrently_and_preserves_s
     assert result.transcript[1].text == "Beta revised."
 
 
+def test_pipeline_runner_passes_exact_target_sections_to_chunker(tmp_path, monkeypatch):
+    transcript = parse_transcript_json(
+        """
+        [
+          {"id": 1, "speaker": "A", "start": 0.0, "end": 1.0, "text": "Alpha."}
+        ]
+        """
+    )
+    glossary = parse_glossary_yaml(
+        """
+        glossary:
+          - name: "Alpha"
+            category: noun
+            summary: "Alpha."
+        """
+    )
+    seen_args = {}
+    sections = [
+        TranscriptSection(
+            section_index=0,
+            start_index=0,
+            segments=[IndexedSegment(index=0, segment=transcript[0])],
+            token_count=1,
+        )
+    ]
+    module = RecordingModule("noop", [], [], [])
+
+    def _fake_chunk_transcript(working, max_tokens, min_section_tokens=1, target_section_count=None, exact_target_section_count=None):
+        seen_args["target_section_count"] = target_section_count
+        seen_args["exact_target_section_count"] = exact_target_section_count
+        return sections
+
+    monkeypatch.setattr("audita.framework.runner.chunk_transcript", _fake_chunk_transcript)
+
+    runner = PipelineRunner()
+    runner.run(
+        transcript=transcript,
+        glossary=glossary,
+        module_specs=[ModuleRunSpec(instance_name="noop", module_key="noop", module=module)],
+        config=AuditaConfig.from_sources(env={}, overrides=ConfigOverrides(target_sections=3)),
+        run_dir=tmp_path / "run",
+    )
+
+    assert seen_args == {
+        "target_section_count": None,
+        "exact_target_section_count": 3,
+    }
+
+
 def test_pipeline_runner_reports_first_llm_validator_rejection_in_chain_order(tmp_path):
     transcript = parse_transcript_json(
         """