added agents app

agents/agentic-app/backend/src/agents.py

@@ -0,0 +1,89 @@
+#!pip install -q langchain-openai termcolor langchain_community duckduckgo_search==7.1.0 wikipedia openapi-python-client==0.12.3 langgraph langchain_experimental
+
+# Imports
+import os
+import json
+import getpass
+
+from langchain_openai import ChatOpenAI
+
+from langchain_experimental.utilities import PythonREPL
+from langchain_community.tools import DuckDuckGoSearchRun
+from langchain.tools import WikipediaQueryRun
+from langchain_community.utilities import WikipediaAPIWrapper
+
+from langgraph.prebuilt import create_react_agent
+from IPython.display import Image, display
+from langchain_core.tools import tool
+
+from typing_extensions import TypedDict
+from typing import Annotated
+
+
+
+from langchain.chains import ConversationChain
+from langchain.memory import ConversationBufferMemory
+from langchain.chains import LLMChain
+from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
+from langchain.prompts import PromptTemplate
+from langchain_core.messages import BaseMessage
+
+from langgraph.graph import StateGraph, START, END
+from langgraph.graph.message import add_messages
+from langgraph.prebuilt import ToolNode, tools_condition
+from langchain_core.tools import Tool
+
+INFERENCE_SERVER_URL = os.getenv('API_URL_GRANITE')
+MODEL_NAME = "granite-3-8b-instruct"
+API_KEY= os.getenv('API_KEY_GRANITE')
+
+llm = ChatOpenAI(
+    openai_api_key=API_KEY,
+    openai_api_base= f"{INFERENCE_SERVER_URL}/v1",
+    model_name=MODEL_NAME,
+    top_p=0.92,
+    temperature=0.01,
+    max_tokens=512,
+    presence_penalty=1.03,
+    streaming=True,
+    callbacks=[StreamingStdOutCallbackHandler()]
+)
+
+def _set_env(var: str):
+    if not os.environ.get(var):
+        os.environ[var] = getpass.getpass(f"{var}: ")
+
+repl = PythonREPL()
+
+@tool
+def python_repl(
+    code: Annotated[str, "The python code to execute to generate your calculations."],
+):
+    """Use this to execute python code. If you want to see the output of a value,
+    you should print it out with `print(...)`. This is visible to the user."""
+    try:
+        result = repl.run(code)
+    except BaseException as e:
+        return f"Failed to execute. Error: {repr(e)}"
+    result_str = f"Successfully executed:\n\`\`\`python\n{code}\n\`\`\`\nStdout: {result}"
+    return (
+        result_str + "\n\nIf you have completed all tasks, respond with FINAL ANSWER."
+    )
+duckduckgo_search = DuckDuckGoSearchRun()
+
+wikipedia = WikipediaQueryRun(api_wrapper=WikipediaAPIWrapper())
+
+tools = [duckduckgo_search, python_repl, wikipedia]
+
+graph = create_react_agent(llm, tools=tools, debug=False)
+#display(Image(graph.get_graph().draw_mermaid_png())
+
+user_query = "Calculate the distance between Madrid and Vegas in minutes and calculate how many seconds will spend flighing over"
+
+inputs = {"messages": [("user", user_query)]}
+for s in graph.stream(inputs, stream_mode="values"):
+    message = s["messages"][-1]
+    if isinstance(message, tuple):
+        print(message)
+    else:
+        message.pretty_print()