cr

README.md

@@ -2,6 +2,14 @@
 
 This prebuilt graph is an agent that uses a reflection-style architecture to check and improve an initial agent's output.
 
+## Installation
+
+```
+pip install langgraph-reflection
+```
+
+## Details
+
 This reflection agent uses two subagents:
 - A "main" agent, which is the agent attempting to solve the users task
 - A "critique" agent, which checks the main agents work and offers any critiques
@@ -56,8 +64,8 @@ judge_graph = StateGraph(MessagesState).add_node(judge_response)...
 
 
 # Create reflection graph that combines assistant and judge
-reflexion_app = create_reflection_graph(assistant_graph, judge_graph)
-result = reflexion_app.invoke({"messages": example_query})
+reflection_app = create_reflection_graph(assistant_graph, judge_graph)
+result = reflection_app.invoke({"messages": example_query})
 ```
 
 ### Code Validation ([examples/coding.py](examples/coding.py))
@@ -100,8 +108,8 @@ def try_running(state: dict) -> dict | None:
 judge_graph = StateGraph(MessagesState).add_node(try_running)...
 
 # Create reflection system that combines code generation and validation
-reflexion_app = create_reflection_graph(assistant_graph, judge_graph)
-result = reflexion_app.invoke({"messages": example_query})
+reflection_app = create_reflection_graph(assistant_graph, judge_graph)
+result = reflection_app.invoke({"messages": example_query})
 ```
 
 The code validation example ensures that generated code is not only syntactically correct but also type-safe and follows best practices through static analysis.

examples/coding.py

@@ -141,7 +141,7 @@ def create_graphs():
 
 
 if __name__ == "__main__":
-    """Run an example query through the reflexion system."""
+    """Run an example query through the reflection system."""
     example_query = [
         {
             "role": "user",
@@ -149,7 +149,7 @@ if __name__ == "__main__":
         }
     ]
 
-    print("Running example with reflexion...")
-    reflexion_app = create_graphs()
-    result = reflexion_app.invoke({"messages": example_query})
+    print("Running example with reflection...")
+    reflection_app = create_graphs()
+    result = reflection_app.invoke({"messages": example_query})
     print("Result:", result)

examples/llm_as_a_judge.py

@@ -80,8 +80,8 @@ judge_graph = (
 
 
 # Create the complete reflection graph
-reflexion_app = create_reflection_graph(assistant_graph, judge_graph)
-reflexion_app = reflexion_app.compile()
+reflection_app = create_reflection_graph(assistant_graph, judge_graph)
+reflection_app = reflection_app.compile()
 
 
 # Example usage
@@ -94,6 +94,6 @@ if __name__ == "__main__":
         }
     ]
 
-    # Process the query through the reflexion system
-    print("Running example with reflexion...")
-    result = reflexion_app.invoke({"messages": example_query})
+    # Process the query through the reflection system
+    print("Running example with reflection...")
+    result = reflection_app.invoke({"messages": example_query})

pyproject.toml

@@ -14,9 +14,6 @@ authors = [{name = "Harrison Chase"}]
 [tool.setuptools.packages.find]
 where = ["src"]
 
-[tool.uv.sources]
-langgraph-reflexion = { workspace = true }
-
 [dependency-groups]
 dev = [
     "langgraph-reflection",