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Browse files- .gitignore +1 -0
- main_agent.py +44 -0
- test.ipynb +0 -0
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.env
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main_agent.py
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# imports
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from typing import TypedDict, Annotated
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from langgraph.graph.message import add_messages
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from langchain_core.messages import AnyMessage
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from langchain_openai import AzureChatOpenAI
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from langgraph.graph import START, StateGraph
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import os
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from dotenv import load_dotenv
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# load environment variables
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load_dotenv() # take environment variables
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# define state
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class State(TypedDict):
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messages: Annotated[list[AnyMessage], add_messages]
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# create llm interface
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llm = AzureChatOpenAI(
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deployment_name = os.environ.get("AZURE_OPENAI_DEPLOYMENT_NAME"),
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openai_api_key = os.environ.get("AZURE_OPENAI_API_KEY"),
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azure_endpoint = os.environ.get("AZURE_OPENAI_ENDPOINT"),
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openai_api_version = os.environ.get("OPENAI_API_VERSION"),
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temperature=0
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)
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# define nodes
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def assistant(state: State):
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return {
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"messages": [llm.invoke(state["messages"])],
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}
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# define graph
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builder = StateGraph(State)
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# add nodes
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builder.add_node("assistant", assistant)
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# define edges
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builder.add_edge(START, "assistant")
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# No conditional edges in this simple example
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# compile gtaph
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graph = builder.compile()
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test.ipynb
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