alembic/versions/b0_001_projects.py

@@ -10,7 +10,7 @@ This migration creates the two project-related tables:
   resources with optional alias and read-only override.
 
 Revision ID: b0_001_projects
-Revises: b1_001_resource_registry
+Revises: a5_005_rebaseline_plan_phases
 Create Date: 2026-02-15 12:00:00
 
 """
@@ -22,7 +22,7 @@ from alembic import op
 
 # revision identifiers, used by Alembic.
 revision: str = "b0_001_projects"
-down_revision: str | Sequence[str] | None = "b1_001_resource_registry"
+down_revision: str | Sequence[str] | None = "a5_005_rebaseline_plan_phases"
 branch_labels: str | Sequence[str] | None = None
 depends_on: str | Sequence[str] | None = None
 

features/steps/auto_debug_integration_steps.py

@@ -115,7 +115,7 @@ def step_run_auto_debug_build(context: Context, max_attempts: int) -> None:
     with (
         patch.object(plan_service, "build_plan", side_effect=mock_build),
         patch(
-            "cleveragents.agents.graphs.auto_debug.FakeListLLM",
+            "langchain_community.llms.FakeListLLM",
             return_value=mock_llm,
         ),
     ):

noxfile.py

@@ -391,8 +391,6 @@ def integration_tests(session: nox.Session):
     """
     session.install("-e", ".[tests]")
     session.env["CLEVERAGENTS_AUTO_APPLY_MIGRATIONS"] = "true"
-    session.env["PYTHONPATH"] = "src:."
-
     # Override PYTHONPATH so the editable install (src/) for this project
     # is used instead of any inherited PYTHONPATH from the outer environment.
     session.env["PYTHONPATH"] = "src"

src/cleveragents/agents/graphs/auto_debug.py

@@ -11,7 +11,6 @@ import logging
 from collections.abc import AsyncIterator, Iterator
 from typing import Any, TypedDict, cast
 
-from langchain_community.llms import FakeListLLM  # type: ignore[import-unresolved]
 from langchain_core.language_models import BaseLanguageModel
 from langchain_core.messages import HumanMessage, SystemMessage
 from langgraph.checkpoint.memory import MemorySaver
@@ -58,6 +57,10 @@ class AutoDebugAgent:
         self.temperature = temperature
 
         if llm is None:
+            from langchain_community.llms import (
+                FakeListLLM,  # type: ignore[import-unresolved]
+            )
+
             self.llm: BaseLanguageModel = FakeListLLM(
                 responses=[
                     "Mock LLM response",