更新了langgraph-plan-view，支持windows下使用 langgraph cli；更新了langgraph-vivado-install，要求安装langgraph cli，确定conda环境的名称为langgraph

langgraph-plan-review/scripts/workflow.py

@@ -1,15 +1,30 @@
 from __future__ import annotations
 
+import sys
 from pathlib import Path
 import re
 from typing import TypedDict
 
+from langchain_core.runnables import RunnableConfig
 from langgraph.graph import END, START, StateGraph
 from langgraph.types import interrupt
 
 from agents import AgentRunner
 
 
+def _default_review_cmd() -> list[str]:
+    """Return the real review_task.py command using the current interpreter."""
+    review_py = Path(__file__).parent / "review_task.py"
+    return [
+        sys.executable,
+        str(review_py),
+        "$task_path",
+        "$latest_discuss_path",
+        "$codex_session_id",
+        "$work_dir",
+    ]
+
+
 class WorkflowState(TypedDict):
     task_id: str
     user_prompt: str
@@ -129,7 +144,7 @@ def values_from_state(state: WorkflowState) -> dict[str, str]:
     }
 
 
-def build_workflow(runner: AgentRunner, *, checkpointer=None):
+def build_workflow(*, checkpointer=None):
     graph = StateGraph(WorkflowState)
 
     def initialize(state: WorkflowState) -> WorkflowState:
@@ -163,7 +178,11 @@ def build_workflow(runner: AgentRunner, *, checkpointer=None):
         validate_task_file(state["task_path"])
         return state
 
-    def review(state: WorkflowState) -> WorkflowState:
+    def review(state: WorkflowState, config: RunnableConfig) -> WorkflowState:
+        cfg = config.get("configurable", {})
+        codex_cmd: list[str] = cfg.get("codex_review_command") or _default_review_cmd()
+        timeout: int = int(cfg.get("codex_timeout", 600))
+        runner = AgentRunner(codex_review_command=codex_cmd, timeout=timeout)
         result = runner.review(values_from_state(state))
         updates = {
             **state,