Agent/create hello world script

hello.py

@@ -0,0 +1 @@
+print("hello world")

src/agent/models.py

@@ -0,0 +1,3 @@
+from langchain_core.messages import BaseMessage
+
+Message = BaseMessage

src/agent/state.py

@@ -1,59 +1,27 @@
-"""Graph state definition for the LangGraph agent."""
-
 from __future__ import annotations
 
+import operator
+from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Annotated, Any, TypedDict
-
-from langchain_core.language_models import BaseChatModel
-from langchain_core.messages import BaseMessage
-from langgraph.channels import UntrackedValue
-from langgraph.graph.message import add_messages
-
-from ..config.settings import RepoConfig, Settings
-from ..git_ops.repo import GitRepo
-
-
-class AgentState(TypedDict, total=False):
-    """Typed state dictionary for the LangGraph agent pipeline."""
-
-    # Immutable inputs (set once at graph entry) — not checkpointed
-    task: Annotated[str, UntrackedValue]
-    settings: Annotated[Settings, UntrackedValue]
-    repo_config: Annotated[RepoConfig, UntrackedValue]
-    branch: Annotated[str | None, UntrackedValue]
-
-    # Initialised in clone_and_branch, reused across nodes — not checkpointed
-    readme_preamble: Annotated[str, UntrackedValue]
-    messages: Annotated[list[BaseMessage], add_messages]
-    llm: Annotated[BaseChatModel, UntrackedValue]
-    git: Annotated[GitRepo, UntrackedValue]
-    repo_dir: Annotated[Path, UntrackedValue]
-    active_branch: Annotated[str, UntrackedValue]
+from typing import Annotated, TypedDict
 
-    # Control flow
-    prompt_type: str
+from .models import Message
 
-    # Plan phase
-    plan: dict[str, Any]
-    file_contents: str
-    plan_complete: bool
 
-    # Post-implement
-    changed_files: list[str]
+@dataclass
+class State:
+    """Represents the state of the agent."""
 
-    # Test/fix loop
-    attempt: int
-    max_attempts: int
-    checks_passed: bool
-    test_output: str
-    fix_history: list[dict[str, str]]
+    task: str
+    repo_name: str
+    repo_path: Path
+    messages: list[Message] = field(default_factory=list)
 
-    # PR
-    pr_ready: bool
 
-    # Token tracking
-    token_usage: dict[str, int]
+class AgentState(TypedDict):
+    """Represents the state of the agent graph."""
 
-    # Final output
-    result: str
+    task: str
+    repo_name: str
+    repo_path: Path
+    messages: Annotated[list[Message], operator.add]

tests/test_state.py

@@ -0,0 +1,18 @@
+from __future__ import annotations
+
+from pathlib import Path
+
+from src.agent.state import State
+
+
+def test_state_initialization():
+    """Tests the initialization of the State object."""
+    task = "Implement a new feature"
+    repo_name = "my-agent"
+    repo_path = Path("/tmp/my-agent")
+    state = State(task=task, repo_name=repo_name, repo_path=repo_path)
+
+    assert state.task == task
+    assert state.repo_name == repo_name
+    assert state.repo_path == repo_path
+    assert state.messages == []