Commit
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5a0e318
1
Parent(s):
ce61988
hjgfg
Browse files- __pycache__/agent.cpython-310.pyc +0 -0
- agent.py +24 -1
- app.py +0 -1
__pycache__/agent.cpython-310.pyc
CHANGED
Binary files a/__pycache__/agent.cpython-310.pyc and b/__pycache__/agent.cpython-310.pyc differ
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agent.py
CHANGED
@@ -264,8 +264,31 @@ def build_graph(provider: str = "huggingface"):
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builder.add_edge("tools", "assistant")
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# Compile graph
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-
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# test
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if __name__ == "__main__":
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question = "When was a picture of St. Thomas Aquinas first added to the Wikipedia page on the Principle of double effect?"
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builder.add_edge("tools", "assistant")
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# Compile graph
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compiled_graph = builder.compile() # This line should already be there or be the next line
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# --- START: Add this visualization code ---
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try:
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print("Attempting to generate graph visualization...")
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image_filename = "langgraph_state_diagram.png"
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# Using draw_mermaid_png as it's often more robust
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image_bytes = compiled_graph.get_graph().draw_mermaid_png()
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with open(image_filename, "wb") as f:
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f.write(image_bytes)
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print(f"SUCCESS: Graph visualization saved to '{image_filename}'")
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except ImportError as e:
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print(f"WARNING: Could not generate graph image due to missing package: {e}. "
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"Ensure 'pygraphviz' and 'graphviz' (system) are installed, or Mermaid components are available.")
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except Exception as e:
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print(f"WARNING: An error occurred while generating the graph image: {e}")
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try:
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print("\nGraph (DOT format as fallback):\n", compiled_graph.get_graph().to_string())
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except Exception as dot_e:
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print(f"Could not even get DOT string: {dot_e}")
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# --- END: Visualization code ---
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return compiled_graph # This should be the last line of the function
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# test
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if __name__ == "__main__":
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question = "When was a picture of St. Thomas Aquinas first added to the Wikipedia page on the Principle of double effect?"
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app.py
CHANGED
@@ -24,7 +24,6 @@ class BasicAgent:
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self.graph = build_graph()
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def __call__(self, question: str) -> str:
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print(f"**--**")
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print(f"Agent received question (first 50 chars): {question[:50]}...")
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# Wrap the question in a HumanMessage from langchain_core
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messages = [HumanMessage(content=question)]
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self.graph = build_graph()
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def __call__(self, question: str) -> str:
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print(f"Agent received question (first 50 chars): {question[:50]}...")
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# Wrap the question in a HumanMessage from langchain_core
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messages = [HumanMessage(content=question)]
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