Final_Assignment

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neznib commited on Apr 26, 2025

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ac0db5b

1 Parent(s): 8dffb1d

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agent.py +53 -0
app_playground.ipynb +325 -0
playground.ipynb +130 -26
prompts/system_prompt.md +13 -0
requirements.txt +2 -1
test.ipynb +123 -0

agent.py ADDED Viewed

	@@ -0,0 +1,53 @@

+import os
+from langchain.chat_models import init_chat_model
+from langchain_core.messages import HumanMessage, SystemMessage, AIMessage, AnyMessage
+from langgraph.graph import add_messages
+from typing_extensions import TypedDict, Annotated
+class State(TypedDict):
+    messages: Annotated[list, add_messages]
+    graph_state: str
+def get_llm():
+    os.getenv("GROQ_API_KEY")
+    return init_chat_model("llama-3.3-70b-versatile", model_provider="groq")
+def get_graph(llm):
+    with open('prompts/system_prompt.md', 'r', encoding='utf-8') as markdown_file:
+        system_prompt = markdown_file.read()
+    def node_1(state):
+        print("---Node 1---")
+        messages = state['messages']
+        prompt: AnyMessage = [SystemMessage(content=system_prompt), messages]
+        response = llm.invoke([("system", prompt), messages])
+        return {"message": response}
+    from IPython.display import Image, display
+    from langgraph.graph import MessagesState, START, END, StateGraph
+    # Build graph
+    builder = StateGraph(State)
+    builder.add_node("node_1", node_1)
+    # Logic
+    builder.add_edge(START, "node_1")
+    builder.add_edge("node_1", END)
+    return builder.compile()

app_playground.ipynb ADDED Viewed

	@@ -0,0 +1,325 @@

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "id": "initial_id",
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2025-04-26T20:02:07.770606Z",
+     "start_time": "2025-04-26T20:02:07.726139Z"
+    }
+   },
+   "source": [
+    "from dotenv import load_dotenv\n",
+    "from gradio.server_messages import BaseMessage\n",
+    "\n",
+    "from agent import *\n",
+    "\n",
+    "load_dotenv()\n",
+    "\n",
+    "llm = get_llm()\n",
+    "\n",
+    "graph = get_graph(llm)\n"
+   ],
+   "outputs": [],
+   "execution_count": 3
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T19:33:33.529627Z",
+     "start_time": "2025-04-26T19:33:33.064005Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "res = llm.invoke(\"Hello, how are you?\")\n",
+    "\n",
+    "res.content"
+   ],
+   "id": "df3ed82e9ec7006c",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"Hello! I'm just a language model, so I don't have feelings or emotions like humans do, but I'm functioning properly and ready to help with any questions or tasks you might have. How can I assist you today?\""
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 3
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": [
+    "from langchain.chat_models import init_chat_model\n",
+    "\n",
+    "\n",
+    "model = init_chat_model(\"llama-3.3-70b-versatile\", model_provider=\"groq\")\n"
+   ],
+   "id": "ca6d91a7416ee6c"
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T19:41:23.111594Z",
+     "start_time": "2025-04-26T19:41:23.095834Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "with open('prompts/system_prompt.md', 'r', encoding='utf-8') as markdown_file:\n",
+    "    system_prompt = markdown_file.read()\n",
+    "\n",
+    "print(system_prompt)"
+   ],
+   "id": "fad84707949cb20e",
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "# Task: Answering GAIA Benchmark Questions\n",
+      "You are tasked with answering questions from the GAIA benchmark for AI agents.\n",
+      "\n",
+      "Provide ONLY the precise answer to the question. Do not include explanations, reasoning, or any additional text. Be direct, specific, and concise to meet the strict exact-matching requirements of the GAIA benchmark.\n",
+      "\n",
+      "# Output Format\n",
+      "- **Single-word or short-phrase answers:** If the question necessitates a brief answer, provide just that word or phrase.\n",
+      "- **Numerical values:** Provide only the number when applicable, with no additional formatting or units unless specifically requested.\n",
+      "- **Full sentences:** If the question expects a sentence, provide the exact sentence required with no extra characters, punctuation, or formatting.\n",
+      "\n",
+      "# Notes\n",
+      "- Be aware of strict exact-matching requirements; even minor deviations can result in an incorrect response.\n",
+      "- If any ambiguity exists in the phrasing of the input, respond with an answer that aligns with the GAIA benchmark's intended interpretation.\"\"\"), (\"user\", question)])\n",
+      "\n"
+     ]
+    }
+   ],
+   "execution_count": 5
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T19:58:38.799277Z",
+     "start_time": "2025-04-26T19:58:38.529893Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "\n",
+    "from langchain_core.messages import HumanMessage, SystemMessage, AIMessage, AnyMessage\n",
+    "\n",
+    "messages: AnyMessage = [AIMessage(content=\"Hello, how are you?\"),\n",
+    "                        SystemMessage(content=system_prompt),\n",
+    "                        HumanMessage(content=\"How many studio albums were published by Mercedes Sosa between 2000 and 2009 (included)? You can use the latest 2022 version of english wikipedia.\"),\n",
+    "                        AIMessage(content=\"I am fine, thank you!\"),\n",
+    "                        SystemMessage(content=system_prompt),\n",
+    "    HumanMessage(content=\"How many studio albums were published by Mercedes Sosa between 2000 and 2009 (included)? You can use the latest 2022 version of english wikipedia.\")\n",
+    "]\n",
+    "\n",
+    "prompt: AnyMessage = [SystemMessage(content=system_prompt), messages]\n",
+    "\n",
+    "\n",
+    "response = llm.invoke(messages)"
+   ],
+   "id": "e2cbaf6bbb86c838",
+   "outputs": [],
+   "execution_count": 23
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T19:58:42.084030Z",
+     "start_time": "2025-04-26T19:58:42.074169Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "print(response)",
+   "id": "527e07754203caff",
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "content='3' additional_kwargs={} response_metadata={'token_usage': {'completion_tokens': 2, 'prompt_tokens': 541, 'total_tokens': 543, 'completion_time': 0.008988252, 'prompt_time': 0.034576024, 'queue_time': 0.09541405100000001, 'total_time': 0.043564276}, 'model_name': 'llama-3.3-70b-versatile', 'system_fingerprint': 'fp_9a8b91ba77', 'finish_reason': 'stop', 'logprobs': None} id='run-e4b157ef-483f-4252-ac10-6ce0461f3992-0' usage_metadata={'input_tokens': 541, 'output_tokens': 2, 'total_tokens': 543}\n"
+     ]
+    }
+   ],
+   "execution_count": 24
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T19:49:26.983215Z",
+     "start_time": "2025-04-26T19:49:26.974629Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "test = [SystemMessage(content=system_prompt), messages]",
+   "id": "d3ed27edf95d2361",
+   "outputs": [],
+   "execution_count": 11
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T19:49:29.366542Z",
+     "start_time": "2025-04-26T19:49:29.353873Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "test",
+   "id": "d3600eb4308a35b0",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[SystemMessage(content='# Task: Answering GAIA Benchmark Questions\\nYou are tasked with answering questions from the GAIA benchmark for AI agents.\\n\\nProvide ONLY the precise answer to the question. Do not include explanations, reasoning, or any additional text. Be direct, specific, and concise to meet the strict exact-matching requirements of the GAIA benchmark.\\n\\n# Output Format\\n- **Single-word or short-phrase answers:** If the question necessitates a brief answer, provide just that word or phrase.\\n- **Numerical values:** Provide only the number when applicable, with no additional formatting or units unless specifically requested.\\n- **Full sentences:** If the question expects a sentence, provide the exact sentence required with no extra characters, punctuation, or formatting.\\n\\n# Notes\\n- Be aware of strict exact-matching requirements; even minor deviations can result in an incorrect response.\\n- If any ambiguity exists in the phrasing of the input, respond with an answer that aligns with the GAIA benchmark\\'s intended interpretation.\"\"\"), (\"user\", question)])\\n', additional_kwargs={}, response_metadata={}),\n",
+       " [HumanMessage(content='How many studio albums were published by Mercedes Sosa between 2000 and 2009 (included)? You can use the latest 2022 version of english wikipedia.', additional_kwargs={}, response_metadata={})]]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 12
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T19:51:05.456437Z",
+     "start_time": "2025-04-26T19:51:04.974887Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "llm.invoke(BaseMessage(content=\"Hallo\")).content",
+   "id": "1c014b109e72d895",
+   "outputs": [
+    {
+     "ename": "ValidationError",
+     "evalue": "1 validation error for BaseMessage\ntype\n  Field required [type=missing, input_value={'content': 'Hallo'}, input_type=dict]\n    For further information visit https://errors.pydantic.dev/2.11/v/missing",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
+      "\u001B[31mValidationError\u001B[39m                           Traceback (most recent call last)",
+      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[15]\u001B[39m\u001B[32m, line 1\u001B[39m\n\u001B[32m----> \u001B[39m\u001B[32m1\u001B[39m llm.invoke(\u001B[43mBaseMessage\u001B[49m\u001B[43m(\u001B[49m\u001B[43mcontent\u001B[49m\u001B[43m=\u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43mHallo\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m)\u001B[49m).content\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/messages/base.py:78\u001B[39m, in \u001B[36mBaseMessage.__init__\u001B[39m\u001B[34m(self, content, **kwargs)\u001B[39m\n\u001B[32m     70\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34m__init__\u001B[39m(\n\u001B[32m     71\u001B[39m     \u001B[38;5;28mself\u001B[39m, content: Union[\u001B[38;5;28mstr\u001B[39m, \u001B[38;5;28mlist\u001B[39m[Union[\u001B[38;5;28mstr\u001B[39m, \u001B[38;5;28mdict\u001B[39m]]], **kwargs: Any\n\u001B[32m     72\u001B[39m ) -> \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[32m     73\u001B[39m \u001B[38;5;250m    \u001B[39m\u001B[33;03m\"\"\"Pass in content as positional arg.\u001B[39;00m\n\u001B[32m     74\u001B[39m \n\u001B[32m     75\u001B[39m \u001B[33;03m    Args:\u001B[39;00m\n\u001B[32m     76\u001B[39m \u001B[33;03m        content: The string contents of the message.\u001B[39;00m\n\u001B[32m     77\u001B[39m \u001B[33;03m    \"\"\"\u001B[39;00m\n\u001B[32m---> \u001B[39m\u001B[32m78\u001B[39m     \u001B[38;5;28;43msuper\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m.\u001B[49m\u001B[34;43m__init__\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43mcontent\u001B[49m\u001B[43m=\u001B[49m\u001B[43mcontent\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/load/serializable.py:130\u001B[39m, in \u001B[36mSerializable.__init__\u001B[39m\u001B[34m(self, *args, **kwargs)\u001B[39m\n\u001B[32m    128\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34m__init__\u001B[39m(\u001B[38;5;28mself\u001B[39m, *args: Any, **kwargs: Any) -> \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[32m    129\u001B[39m \u001B[38;5;250m    \u001B[39m\u001B[33;03m\"\"\"\"\"\"\u001B[39;00m  \u001B[38;5;66;03m# noqa: D419\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m130\u001B[39m     \u001B[38;5;28;43msuper\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m.\u001B[49m\u001B[34;43m__init__\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43m*\u001B[49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/pydantic/main.py:253\u001B[39m, in \u001B[36mBaseModel.__init__\u001B[39m\u001B[34m(self, **data)\u001B[39m\n\u001B[32m    251\u001B[39m \u001B[38;5;66;03m# `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks\u001B[39;00m\n\u001B[32m    252\u001B[39m __tracebackhide__ = \u001B[38;5;28;01mTrue\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m253\u001B[39m validated_self = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m__pydantic_validator__\u001B[49m\u001B[43m.\u001B[49m\u001B[43mvalidate_python\u001B[49m\u001B[43m(\u001B[49m\u001B[43mdata\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mself_instance\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[32m    254\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m validated_self:\n\u001B[32m    255\u001B[39m     warnings.warn(\n\u001B[32m    256\u001B[39m         \u001B[33m'\u001B[39m\u001B[33mA custom validator is returning a value other than `self`.\u001B[39m\u001B[38;5;130;01m\\n\u001B[39;00m\u001B[33m'\u001B[39m\n\u001B[32m    257\u001B[39m         \u001B[33m\"\u001B[39m\u001B[33mReturning anything other than `self` from a top level model validator isn\u001B[39m\u001B[33m'\u001B[39m\u001B[33mt supported when validating via `__init__`.\u001B[39m\u001B[38;5;130;01m\\n\u001B[39;00m\u001B[33m\"\u001B[39m\n\u001B[32m    258\u001B[39m         \u001B[33m'\u001B[39m\u001B[33mSee the `model_validator` docs (https://docs.pydantic.dev/latest/concepts/validators/#model-validators) for more details.\u001B[39m\u001B[33m'\u001B[39m,\n\u001B[32m    259\u001B[39m         stacklevel=\u001B[32m2\u001B[39m,\n\u001B[32m    260\u001B[39m     )\n",
+      "\u001B[31mValidationError\u001B[39m: 1 validation error for BaseMessage\ntype\n  Field required [type=missing, input_value={'content': 'Hallo'}, input_type=dict]\n    For further information visit https://errors.pydantic.dev/2.11/v/missing"
+     ]
+    }
+   ],
+   "execution_count": 15
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T20:00:48.379767Z",
+     "start_time": "2025-04-26T20:00:48.266692Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "graph = get_graph(llm)",
+   "id": "bc4f9a98277ddc85",
+   "outputs": [
+    {
+     "ename": "TypeError",
+     "evalue": "get_graph() takes 0 positional arguments but 1 was given",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
+      "\u001B[31mTypeError\u001B[39m                                 Traceback (most recent call last)",
+      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[25]\u001B[39m\u001B[32m, line 1\u001B[39m\n\u001B[32m----> \u001B[39m\u001B[32m1\u001B[39m graph = \u001B[43mget_graph\u001B[49m\u001B[43m(\u001B[49m\u001B[43mllm\u001B[49m\u001B[43m)\u001B[49m\n",
+      "\u001B[31mTypeError\u001B[39m: get_graph() takes 0 positional arguments but 1 was given"
+     ]
+    }
+   ],
+   "execution_count": 25
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T20:04:01.351526Z",
+     "start_time": "2025-04-26T20:04:01.121488Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "graph.invoke({\"messages\": [HumanMessage(content=\"Hello, how are you?\"),]})",
+   "id": "cda865fc8fb4cfca",
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "---Node 1---\n"
+     ]
+    },
+    {
+     "ename": "ValidationError",
+     "evalue": "5 validation errors for SystemMessage\ncontent.str\n  Input should be a valid string [type=string_type, input_value=[SystemMessage(content='#...2f-a43a-f6e575615870')]], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.11/v/string_type\ncontent.list[union[str,dict[any,any]]].0.str\n  Input should be a valid string [type=string_type, input_value=SystemMessage(content='# ...}, response_metadata={}), input_type=SystemMessage]\n    For further information visit https://errors.pydantic.dev/2.11/v/string_type\ncontent.list[union[str,dict[any,any]]].0.dict[any,any]\n  Input should be a valid dictionary [type=dict_type, input_value=SystemMessage(content='# ...}, response_metadata={}), input_type=SystemMessage]\n    For further information visit https://errors.pydantic.dev/2.11/v/dict_type\ncontent.list[union[str,dict[any,any]]].1.str\n  Input should be a valid string [type=string_type, input_value=[HumanMessage(content='He...82f-a43a-f6e575615870')], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.11/v/string_type\ncontent.list[union[str,dict[any,any]]].1.dict[any,any]\n  Input should be a valid dictionary [type=dict_type, input_value=[HumanMessage(content='He...82f-a43a-f6e575615870')], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.11/v/dict_type",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
+      "\u001B[31mValidationError\u001B[39m                           Traceback (most recent call last)",
+      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[5]\u001B[39m\u001B[32m, line 1\u001B[39m\n\u001B[32m----> \u001B[39m\u001B[32m1\u001B[39m \u001B[43mgraph\u001B[49m\u001B[43m.\u001B[49m\u001B[43minvoke\u001B[49m\u001B[43m(\u001B[49m\u001B[43m{\u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43mmessages\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m:\u001B[49m\u001B[43m \u001B[49m\u001B[43m[\u001B[49m\u001B[43mHumanMessage\u001B[49m\u001B[43m(\u001B[49m\u001B[43mcontent\u001B[49m\u001B[43m=\u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43mHello, how are you?\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\u001B[43m]\u001B[49m\u001B[43m}\u001B[49m\u001B[43m)\u001B[49m\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langgraph/pregel/__init__.py:2795\u001B[39m, in \u001B[36mPregel.invoke\u001B[39m\u001B[34m(self, input, config, stream_mode, output_keys, interrupt_before, interrupt_after, checkpoint_during, debug, **kwargs)\u001B[39m\n\u001B[32m   2793\u001B[39m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[32m   2794\u001B[39m     chunks = []\n\u001B[32m-> \u001B[39m\u001B[32m2795\u001B[39m \u001B[43m\u001B[49m\u001B[38;5;28;43;01mfor\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43mchunk\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;129;43;01min\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mstream\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m   2796\u001B[39m \u001B[43m    \u001B[49m\u001B[38;5;28;43minput\u001B[39;49m\u001B[43m,\u001B[49m\n\u001B[32m   2797\u001B[39m \u001B[43m    \u001B[49m\u001B[43mconfig\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   2798\u001B[39m \u001B[43m    \u001B[49m\u001B[43mstream_mode\u001B[49m\u001B[43m=\u001B[49m\u001B[43mstream_mode\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   2799\u001B[39m \u001B[43m    \u001B[49m\u001B[43moutput_keys\u001B[49m\u001B[43m=\u001B[49m\u001B[43moutput_keys\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   2800\u001B[39m \u001B[43m    \u001B[49m\u001B[43minterrupt_before\u001B[49m\u001B[43m=\u001B[49m\u001B[43minterrupt_before\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   2801\u001B[39m \u001B[43m    \u001B[49m\u001B[43minterrupt_after\u001B[49m\u001B[43m=\u001B[49m\u001B[43minterrupt_after\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   2802\u001B[39m \u001B[43m    \u001B[49m\u001B[43mcheckpoint_during\u001B[49m\u001B[43m=\u001B[49m\u001B[43mcheckpoint_during\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   2803\u001B[39m \u001B[43m    \u001B[49m\u001B[43mdebug\u001B[49m\u001B[43m=\u001B[49m\u001B[43mdebug\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   2804\u001B[39m \u001B[43m    \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   2805\u001B[39m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\u001B[43m:\u001B[49m\n\u001B[32m   2806\u001B[39m \u001B[43m    \u001B[49m\u001B[38;5;28;43;01mif\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43mstream_mode\u001B[49m\u001B[43m \u001B[49m\u001B[43m==\u001B[49m\u001B[43m \u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43mvalues\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m:\u001B[49m\n\u001B[32m   2807\u001B[39m \u001B[43m        \u001B[49m\u001B[43mlatest\u001B[49m\u001B[43m \u001B[49m\u001B[43m=\u001B[49m\u001B[43m \u001B[49m\u001B[43mchunk\u001B[49m\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langgraph/pregel/__init__.py:2433\u001B[39m, in \u001B[36mPregel.stream\u001B[39m\u001B[34m(self, input, config, stream_mode, output_keys, interrupt_before, interrupt_after, checkpoint_during, debug, subgraphs)\u001B[39m\n\u001B[32m   2427\u001B[39m     \u001B[38;5;66;03m# Similarly to Bulk Synchronous Parallel / Pregel model\u001B[39;00m\n\u001B[32m   2428\u001B[39m     \u001B[38;5;66;03m# computation proceeds in steps, while there are channel updates.\u001B[39;00m\n\u001B[32m   2429\u001B[39m     \u001B[38;5;66;03m# Channel updates from step N are only visible in step N+1\u001B[39;00m\n\u001B[32m   2430\u001B[39m     \u001B[38;5;66;03m# channels are guaranteed to be immutable for the duration of the step,\u001B[39;00m\n\u001B[32m   2431\u001B[39m     \u001B[38;5;66;03m# with channel updates applied only at the transition between steps.\u001B[39;00m\n\u001B[32m   2432\u001B[39m     \u001B[38;5;28;01mwhile\u001B[39;00m loop.tick(input_keys=\u001B[38;5;28mself\u001B[39m.input_channels):\n\u001B[32m-> \u001B[39m\u001B[32m2433\u001B[39m \u001B[43m        \u001B[49m\u001B[38;5;28;43;01mfor\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43m_\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;129;43;01min\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43mrunner\u001B[49m\u001B[43m.\u001B[49m\u001B[43mtick\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m   2434\u001B[39m \u001B[43m            \u001B[49m\u001B[43mloop\u001B[49m\u001B[43m.\u001B[49m\u001B[43mtasks\u001B[49m\u001B[43m.\u001B[49m\u001B[43mvalues\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   2435\u001B[39m \u001B[43m            \u001B[49m\u001B[43mtimeout\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mstep_timeout\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   2436\u001B[39m \u001B[43m            \u001B[49m\u001B[43mretry_policy\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mretry_policy\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   2437\u001B[39m \u001B[43m            \u001B[49m\u001B[43mget_waiter\u001B[49m\u001B[43m=\u001B[49m\u001B[43mget_waiter\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m   2438\u001B[39m \u001B[43m        \u001B[49m\u001B[43m)\u001B[49m\u001B[43m:\u001B[49m\n\u001B[32m   2439\u001B[39m \u001B[43m            \u001B[49m\u001B[38;5;66;43;03m# emit output\u001B[39;49;00m\n\u001B[32m   2440\u001B[39m \u001B[43m            \u001B[49m\u001B[38;5;28;43;01myield from\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43moutput\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m   2441\u001B[39m \u001B[38;5;66;03m# emit output\u001B[39;00m\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment/agent.py:31\u001B[39m, in \u001B[36mget_graph.<locals>.node_1\u001B[39m\u001B[34m(state)\u001B[39m\n\u001B[32m     27\u001B[39m messages = state[\u001B[33m'\u001B[39m\u001B[33mmessages\u001B[39m\u001B[33m'\u001B[39m]\n\u001B[32m     29\u001B[39m prompt: AnyMessage = [SystemMessage(content=system_prompt), messages]\n\u001B[32m---> \u001B[39m\u001B[32m31\u001B[39m response = \u001B[43mllm\u001B[49m\u001B[43m.\u001B[49m\u001B[43minvoke\u001B[49m\u001B[43m(\u001B[49m\u001B[43m[\u001B[49m\u001B[43m(\u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43msystem\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mprompt\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mmessages\u001B[49m\u001B[43m]\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m     33\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m {\u001B[33m\"\u001B[39m\u001B[33mmessage\u001B[39m\u001B[33m\"\u001B[39m: response}\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py:370\u001B[39m, in \u001B[36mBaseChatModel.invoke\u001B[39m\u001B[34m(self, input, config, stop, **kwargs)\u001B[39m\n\u001B[32m    357\u001B[39m \u001B[38;5;129m@override\u001B[39m\n\u001B[32m    358\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34minvoke\u001B[39m(\n\u001B[32m    359\u001B[39m     \u001B[38;5;28mself\u001B[39m,\n\u001B[32m   (...)\u001B[39m\u001B[32m    364\u001B[39m     **kwargs: Any,\n\u001B[32m    365\u001B[39m ) -> BaseMessage:\n\u001B[32m    366\u001B[39m     config = ensure_config(config)\n\u001B[32m    367\u001B[39m     \u001B[38;5;28;01mreturn\u001B[39;00m cast(\n\u001B[32m    368\u001B[39m         \u001B[33m\"\u001B[39m\u001B[33mChatGeneration\u001B[39m\u001B[33m\"\u001B[39m,\n\u001B[32m    369\u001B[39m         \u001B[38;5;28mself\u001B[39m.generate_prompt(\n\u001B[32m--> \u001B[39m\u001B[32m370\u001B[39m             [\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_convert_input\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43minput\u001B[39;49m\u001B[43m)\u001B[49m],\n\u001B[32m    371\u001B[39m             stop=stop,\n\u001B[32m    372\u001B[39m             callbacks=config.get(\u001B[33m\"\u001B[39m\u001B[33mcallbacks\u001B[39m\u001B[33m\"\u001B[39m),\n\u001B[32m    373\u001B[39m             tags=config.get(\u001B[33m\"\u001B[39m\u001B[33mtags\u001B[39m\u001B[33m\"\u001B[39m),\n\u001B[32m    374\u001B[39m             metadata=config.get(\u001B[33m\"\u001B[39m\u001B[33mmetadata\u001B[39m\u001B[33m\"\u001B[39m),\n\u001B[32m    375\u001B[39m             run_name=config.get(\u001B[33m\"\u001B[39m\u001B[33mrun_name\u001B[39m\u001B[33m\"\u001B[39m),\n\u001B[32m    376\u001B[39m             run_id=config.pop(\u001B[33m\"\u001B[39m\u001B[33mrun_id\u001B[39m\u001B[33m\"\u001B[39m, \u001B[38;5;28;01mNone\u001B[39;00m),\n\u001B[32m    377\u001B[39m             **kwargs,\n\u001B[32m    378\u001B[39m         ).generations[\u001B[32m0\u001B[39m][\u001B[32m0\u001B[39m],\n\u001B[32m    379\u001B[39m     ).message\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py:350\u001B[39m, in \u001B[36mBaseChatModel._convert_input\u001B[39m\u001B[34m(self, input)\u001B[39m\n\u001B[32m    348\u001B[39m     \u001B[38;5;28;01mreturn\u001B[39;00m StringPromptValue(text=\u001B[38;5;28minput\u001B[39m)\n\u001B[32m    349\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(\u001B[38;5;28minput\u001B[39m, Sequence):\n\u001B[32m--> \u001B[39m\u001B[32m350\u001B[39m     \u001B[38;5;28;01mreturn\u001B[39;00m ChatPromptValue(messages=\u001B[43mconvert_to_messages\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43minput\u001B[39;49m\u001B[43m)\u001B[49m)\n\u001B[32m    351\u001B[39m msg = (\n\u001B[32m    352\u001B[39m     \u001B[33mf\u001B[39m\u001B[33m\"\u001B[39m\u001B[33mInvalid input type \u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[38;5;28mtype\u001B[39m(\u001B[38;5;28minput\u001B[39m)\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m. \u001B[39m\u001B[33m\"\u001B[39m\n\u001B[32m    353\u001B[39m     \u001B[33m\"\u001B[39m\u001B[33mMust be a PromptValue, str, or list of BaseMessages.\u001B[39m\u001B[33m\"\u001B[39m\n\u001B[32m    354\u001B[39m )\n\u001B[32m    355\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(msg)\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/messages/utils.py:367\u001B[39m, in \u001B[36mconvert_to_messages\u001B[39m\u001B[34m(messages)\u001B[39m\n\u001B[32m    365\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(messages, PromptValue):\n\u001B[32m    366\u001B[39m     \u001B[38;5;28;01mreturn\u001B[39;00m messages.to_messages()\n\u001B[32m--> \u001B[39m\u001B[32m367\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43m[\u001B[49m\u001B[43m_convert_to_message\u001B[49m\u001B[43m(\u001B[49m\u001B[43mm\u001B[49m\u001B[43m)\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43;01mfor\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43mm\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;129;43;01min\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43mmessages\u001B[49m\u001B[43m]\u001B[49m\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/messages/utils.py:367\u001B[39m, in \u001B[36m<listcomp>\u001B[39m\u001B[34m(.0)\u001B[39m\n\u001B[32m    365\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(messages, PromptValue):\n\u001B[32m    366\u001B[39m     \u001B[38;5;28;01mreturn\u001B[39;00m messages.to_messages()\n\u001B[32m--> \u001B[39m\u001B[32m367\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m [\u001B[43m_convert_to_message\u001B[49m\u001B[43m(\u001B[49m\u001B[43mm\u001B[49m\u001B[43m)\u001B[49m \u001B[38;5;28;01mfor\u001B[39;00m m \u001B[38;5;129;01min\u001B[39;00m messages]\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/messages/utils.py:324\u001B[39m, in \u001B[36m_convert_to_message\u001B[39m\u001B[34m(message)\u001B[39m\n\u001B[32m    321\u001B[39m \u001B[38;5;28;01melif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(message, Sequence) \u001B[38;5;129;01mand\u001B[39;00m \u001B[38;5;28mlen\u001B[39m(message) == \u001B[32m2\u001B[39m:\n\u001B[32m    322\u001B[39m     \u001B[38;5;66;03m# mypy doesn't realise this can't be a string given the previous branch\u001B[39;00m\n\u001B[32m    323\u001B[39m     message_type_str, template = message  \u001B[38;5;66;03m# type: ignore[misc]\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m324\u001B[39m     _message = \u001B[43m_create_message_from_message_type\u001B[49m\u001B[43m(\u001B[49m\u001B[43mmessage_type_str\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mtemplate\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m    325\u001B[39m \u001B[38;5;28;01melif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(message, \u001B[38;5;28mdict\u001B[39m):\n\u001B[32m    326\u001B[39m     msg_kwargs = message.copy()\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/messages/utils.py:278\u001B[39m, in \u001B[36m_create_message_from_message_type\u001B[39m\u001B[34m(message_type, content, name, tool_call_id, tool_calls, id, **additional_kwargs)\u001B[39m\n\u001B[32m    276\u001B[39m         kwargs[\u001B[33m\"\u001B[39m\u001B[33madditional_kwargs\u001B[39m\u001B[33m\"\u001B[39m] = kwargs.get(\u001B[33m\"\u001B[39m\u001B[33madditional_kwargs\u001B[39m\u001B[33m\"\u001B[39m) \u001B[38;5;129;01mor\u001B[39;00m {}\n\u001B[32m    277\u001B[39m         kwargs[\u001B[33m\"\u001B[39m\u001B[33madditional_kwargs\u001B[39m\u001B[33m\"\u001B[39m][\u001B[33m\"\u001B[39m\u001B[33m__openai_role__\u001B[39m\u001B[33m\"\u001B[39m] = \u001B[33m\"\u001B[39m\u001B[33mdeveloper\u001B[39m\u001B[33m\"\u001B[39m\n\u001B[32m--> \u001B[39m\u001B[32m278\u001B[39m     message = \u001B[43mSystemMessage\u001B[49m\u001B[43m(\u001B[49m\u001B[43mcontent\u001B[49m\u001B[43m=\u001B[49m\u001B[43mcontent\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m    279\u001B[39m \u001B[38;5;28;01melif\u001B[39;00m message_type == \u001B[33m\"\u001B[39m\u001B[33mfunction\u001B[39m\u001B[33m\"\u001B[39m:\n\u001B[32m    280\u001B[39m     message = FunctionMessage(content=content, **kwargs)\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/messages/system.py:46\u001B[39m, in \u001B[36mSystemMessage.__init__\u001B[39m\u001B[34m(self, content, **kwargs)\u001B[39m\n\u001B[32m     37\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34m__init__\u001B[39m(\n\u001B[32m     38\u001B[39m     \u001B[38;5;28mself\u001B[39m, content: Union[\u001B[38;5;28mstr\u001B[39m, \u001B[38;5;28mlist\u001B[39m[Union[\u001B[38;5;28mstr\u001B[39m, \u001B[38;5;28mdict\u001B[39m]]], **kwargs: Any\n\u001B[32m     39\u001B[39m ) -> \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[32m     40\u001B[39m \u001B[38;5;250m    \u001B[39m\u001B[33;03m\"\"\"Pass in content as positional arg.\u001B[39;00m\n\u001B[32m     41\u001B[39m \n\u001B[32m     42\u001B[39m \u001B[33;03m    Args:\u001B[39;00m\n\u001B[32m     43\u001B[39m \u001B[33;03m           content: The string contents of the message.\u001B[39;00m\n\u001B[32m     44\u001B[39m \u001B[33;03m           kwargs: Additional fields to pass to the message.\u001B[39;00m\n\u001B[32m     45\u001B[39m \u001B[33;03m    \"\"\"\u001B[39;00m\n\u001B[32m---> \u001B[39m\u001B[32m46\u001B[39m     \u001B[38;5;28;43msuper\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m.\u001B[49m\u001B[34;43m__init__\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43mcontent\u001B[49m\u001B[43m=\u001B[49m\u001B[43mcontent\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/messages/base.py:78\u001B[39m, in \u001B[36mBaseMessage.__init__\u001B[39m\u001B[34m(self, content, **kwargs)\u001B[39m\n\u001B[32m     70\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34m__init__\u001B[39m(\n\u001B[32m     71\u001B[39m     \u001B[38;5;28mself\u001B[39m, content: Union[\u001B[38;5;28mstr\u001B[39m, \u001B[38;5;28mlist\u001B[39m[Union[\u001B[38;5;28mstr\u001B[39m, \u001B[38;5;28mdict\u001B[39m]]], **kwargs: Any\n\u001B[32m     72\u001B[39m ) -> \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[32m     73\u001B[39m \u001B[38;5;250m    \u001B[39m\u001B[33;03m\"\"\"Pass in content as positional arg.\u001B[39;00m\n\u001B[32m     74\u001B[39m \n\u001B[32m     75\u001B[39m \u001B[33;03m    Args:\u001B[39;00m\n\u001B[32m     76\u001B[39m \u001B[33;03m        content: The string contents of the message.\u001B[39;00m\n\u001B[32m     77\u001B[39m \u001B[33;03m    \"\"\"\u001B[39;00m\n\u001B[32m---> \u001B[39m\u001B[32m78\u001B[39m     \u001B[38;5;28;43msuper\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m.\u001B[49m\u001B[34;43m__init__\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43mcontent\u001B[49m\u001B[43m=\u001B[49m\u001B[43mcontent\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/load/serializable.py:130\u001B[39m, in \u001B[36mSerializable.__init__\u001B[39m\u001B[34m(self, *args, **kwargs)\u001B[39m\n\u001B[32m    128\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34m__init__\u001B[39m(\u001B[38;5;28mself\u001B[39m, *args: Any, **kwargs: Any) -> \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[32m    129\u001B[39m \u001B[38;5;250m    \u001B[39m\u001B[33;03m\"\"\"\"\"\"\u001B[39;00m  \u001B[38;5;66;03m# noqa: D419\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m130\u001B[39m     \u001B[38;5;28;43msuper\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[43m.\u001B[49m\u001B[34;43m__init__\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43m*\u001B[49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/pydantic/main.py:253\u001B[39m, in \u001B[36mBaseModel.__init__\u001B[39m\u001B[34m(self, **data)\u001B[39m\n\u001B[32m    251\u001B[39m \u001B[38;5;66;03m# `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks\u001B[39;00m\n\u001B[32m    252\u001B[39m __tracebackhide__ = \u001B[38;5;28;01mTrue\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m253\u001B[39m validated_self = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m__pydantic_validator__\u001B[49m\u001B[43m.\u001B[49m\u001B[43mvalidate_python\u001B[49m\u001B[43m(\u001B[49m\u001B[43mdata\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mself_instance\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[32m    254\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m validated_self:\n\u001B[32m    255\u001B[39m     warnings.warn(\n\u001B[32m    256\u001B[39m         \u001B[33m'\u001B[39m\u001B[33mA custom validator is returning a value other than `self`.\u001B[39m\u001B[38;5;130;01m\\n\u001B[39;00m\u001B[33m'\u001B[39m\n\u001B[32m    257\u001B[39m         \u001B[33m\"\u001B[39m\u001B[33mReturning anything other than `self` from a top level model validator isn\u001B[39m\u001B[33m'\u001B[39m\u001B[33mt supported when validating via `__init__`.\u001B[39m\u001B[38;5;130;01m\\n\u001B[39;00m\u001B[33m\"\u001B[39m\n\u001B[32m    258\u001B[39m         \u001B[33m'\u001B[39m\u001B[33mSee the `model_validator` docs (https://docs.pydantic.dev/latest/concepts/validators/#model-validators) for more details.\u001B[39m\u001B[33m'\u001B[39m,\n\u001B[32m    259\u001B[39m         stacklevel=\u001B[32m2\u001B[39m,\n\u001B[32m    260\u001B[39m     )\n",
+      "\u001B[31mValidationError\u001B[39m: 5 validation errors for SystemMessage\ncontent.str\n  Input should be a valid string [type=string_type, input_value=[SystemMessage(content='#...2f-a43a-f6e575615870')]], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.11/v/string_type\ncontent.list[union[str,dict[any,any]]].0.str\n  Input should be a valid string [type=string_type, input_value=SystemMessage(content='# ...}, response_metadata={}), input_type=SystemMessage]\n    For further information visit https://errors.pydantic.dev/2.11/v/string_type\ncontent.list[union[str,dict[any,any]]].0.dict[any,any]\n  Input should be a valid dictionary [type=dict_type, input_value=SystemMessage(content='# ...}, response_metadata={}), input_type=SystemMessage]\n    For further information visit https://errors.pydantic.dev/2.11/v/dict_type\ncontent.list[union[str,dict[any,any]]].1.str\n  Input should be a valid string [type=string_type, input_value=[HumanMessage(content='He...82f-a43a-f6e575615870')], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.11/v/string_type\ncontent.list[union[str,dict[any,any]]].1.dict[any,any]\n  Input should be a valid dictionary [type=dict_type, input_value=[HumanMessage(content='He...82f-a43a-f6e575615870')], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.11/v/dict_type",
+      "During task with name 'node_1' and id '6ba0bd4f-d418-d63a-2d13-68271c2e3a1d'"
+     ]
+    }
+   ],
+   "execution_count": 5
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": "",
+   "id": "c14efd7dc261e7c7"
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

playground.ipynb CHANGED Viewed

@@ -12,8 +12,8 @@
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2025-04-25T10:03:00.260362Z",
-     "start_time": "2025-04-25T10:03:00.250631Z"
     }
    },
    "cell_type": "code",
@@ -25,13 +25,13 @@
    ],
    "id": "initial_id",
    "outputs": [],
-   "execution_count": 1
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-04-25T10:03:00.271894Z",
-     "start_time": "2025-04-25T10:03:00.266382Z"
     }
    },
    "cell_type": "code",
@@ -50,13 +50,13 @@
    ],
    "id": "69149c677dbbd143",
    "outputs": [],
-   "execution_count": 2
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-04-25T10:03:00.555328Z",
-     "start_time": "2025-04-25T10:03:00.546416Z"
     }
    },
    "cell_type": "code",
@@ -80,13 +80,13 @@
    ],
    "id": "fdda0402eb744e22",
    "outputs": [],
-   "execution_count": 3
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-04-25T10:04:10.031794Z",
-     "start_time": "2025-04-25T10:04:09.998199Z"
     }
    },
    "cell_type": "code",
@@ -111,45 +111,149 @@
     "graph = builder.compile()"
    ],
    "id": "c36263817c0e369f",
    "outputs": [
     {
-     "ename": "ModuleNotFoundError",
-     "evalue": "No module named 'langgraph'",
      "output_type": "error",
      "traceback": [
       "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
-      "\u001B[31mModuleNotFoundError\u001B[39m                       Traceback (most recent call last)",
-      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[7]\u001B[39m\u001B[32m, line 3\u001B[39m\n\u001B[32m      1\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mIPython\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01mdisplay\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m Image, display\n\u001B[32m----> \u001B[39m\u001B[32m3\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mlanggraph\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01mgraph\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m MessagesState, START, END, StateGraph\n\u001B[32m      5\u001B[39m \u001B[38;5;66;03m# Build graph\u001B[39;00m\n\u001B[32m      6\u001B[39m builder = StateGraph(State)\n",
-      "\u001B[31mModuleNotFoundError\u001B[39m: No module named 'langgraph'"
      ]
     }
    ],
-   "execution_count": 7
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-04-25T10:03:01.259149Z",
-     "start_time": "2025-04-25T10:03:01.231005Z"
     }
    },
    "cell_type": "code",
-   "source": "display(Image(graph.get_graph().draw_mermaid_png()))",
-   "id": "d7410440dcfac3d0",
    "outputs": [
     {
      "ename": "NameError",
-     "evalue": "name 'graph' is not defined",
      "output_type": "error",
      "traceback": [
       "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
       "\u001B[31mNameError\u001B[39m                                 Traceback (most recent call last)",
-      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[5]\u001B[39m\u001B[32m, line 1\u001B[39m\n\u001B[32m----> \u001B[39m\u001B[32m1\u001B[39m display(Image(\u001B[43mgraph\u001B[49m.get_graph().draw_mermaid_png()))\n",
-      "\u001B[31mNameError\u001B[39m: name 'graph' is not defined"
      ]
     }
    ],
-   "execution_count": 5
   },
   {
    "metadata": {},
@@ -157,7 +261,7 @@
    "outputs": [],
    "execution_count": null,
    "source": "",
-   "id": "a027a884dcb0979b"
   }
  ],
  "metadata": {

    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
+     "end_time": "2025-04-26T19:28:53.649925Z",
+     "start_time": "2025-04-26T19:28:53.644536Z"
     }
    },
    "cell_type": "code",
    ],
    "id": "initial_id",
    "outputs": [],
+   "execution_count": 2
   },
   {
    "metadata": {
     "ExecuteTime": {
+     "end_time": "2025-04-26T19:28:53.782161Z",
+     "start_time": "2025-04-26T19:28:53.778525Z"
     }
    },
    "cell_type": "code",
    ],
    "id": "69149c677dbbd143",
    "outputs": [],
+   "execution_count": 3
   },
   {
    "metadata": {
     "ExecuteTime": {
+     "end_time": "2025-04-26T19:28:53.954984Z",
+     "start_time": "2025-04-26T19:28:53.949523Z"
     }
    },
    "cell_type": "code",
    ],
    "id": "fdda0402eb744e22",
    "outputs": [],
+   "execution_count": 4
   },
   {
    "metadata": {
     "ExecuteTime": {
+     "end_time": "2025-04-26T19:28:54.423804Z",
+     "start_time": "2025-04-26T19:28:54.098033Z"
     }
    },
    "cell_type": "code",
     "graph = builder.compile()"
    ],
    "id": "c36263817c0e369f",
+   "outputs": [],
+   "execution_count": 5
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T19:28:55.442847Z",
+     "start_time": "2025-04-26T19:28:55.271978Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "from IPython.display import Image, display\n",
+    "\n",
+    "display(Image(graph.get_graph().draw_mermaid_png()))"
+   ],
+   "id": "d7410440dcfac3d0",
    "outputs": [
     {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 6
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T19:17:49.705656Z",
+     "start_time": "2025-04-26T19:17:49.694242Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "",
+   "id": "a027a884dcb0979b",
+   "outputs": [],
+   "execution_count": 7
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T19:29:53.954345Z",
+     "start_time": "2025-04-26T19:29:53.915031Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "import os\n",
+    "from dotenv import load_dotenv\n",
+    "from agent import *\n",
+    "\n",
+    "load_dotenv()\n",
+    "\n",
+    "llm = get_llm()"
+   ],
+   "id": "a27867479371d346",
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'os' is not defined",
      "output_type": "error",
      "traceback": [
       "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
+      "\u001B[31mNameError\u001B[39m                                 Traceback (most recent call last)",
+      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[10]\u001B[39m\u001B[32m, line 7\u001B[39m\n\u001B[32m      3\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01magent\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m *\n\u001B[32m      5\u001B[39m load_dotenv()\n\u001B[32m----> \u001B[39m\u001B[32m7\u001B[39m llm = \u001B[43mget_llm\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment/agent.py:13\u001B[39m, in \u001B[36mget_llm\u001B[39m\u001B[34m()\u001B[39m\n\u001B[32m     12\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34mget_llm\u001B[39m():\n\u001B[32m---> \u001B[39m\u001B[32m13\u001B[39m     \u001B[43mos\u001B[49m.getenv(\u001B[33m\"\u001B[39m\u001B[33mGROQ_API_KEY\u001B[39m\u001B[33m\"\u001B[39m)\n\u001B[32m     14\u001B[39m     \u001B[38;5;28;01mreturn\u001B[39;00m init_chat_model(\u001B[33m\"\u001B[39m\u001B[33mllama-3.3-70b-versatile\u001B[39m\u001B[33m\"\u001B[39m, model_provider=\u001B[33m\"\u001B[39m\u001B[33mgroq\u001B[39m\u001B[33m\"\u001B[39m)\n",
+      "\u001B[31mNameError\u001B[39m: name 'os' is not defined"
      ]
     }
    ],
+   "execution_count": 10
   },
   {
    "metadata": {
     "ExecuteTime": {
+     "end_time": "2025-04-26T19:23:39.149221Z",
+     "start_time": "2025-04-26T19:23:38.656230Z"
     }
    },
    "cell_type": "code",
+   "source": [
+    "res = llm(\"Hello, how are you?\")\n",
+    "print(res.content)"
+   ],
+   "id": "e4ef9bf9d59e87b",
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/mf/9y254h_17lg1x86hptmcd4v80000gn/T/ipykernel_81627/3192806303.py:1: LangChainDeprecationWarning: The method `BaseChatModel.__call__` was deprecated in langchain-core 0.1.7 and will be removed in 1.0. Use :meth:`~invoke` instead.\n",
+      "  res = llm(\"Hello, how are you?\")\n"
+     ]
+    },
+    {
+     "ename": "AttributeError",
+     "evalue": "'str' object has no attribute 'content'",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
+      "\u001B[31mAttributeError\u001B[39m                            Traceback (most recent call last)",
+      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[11]\u001B[39m\u001B[32m, line 1\u001B[39m\n\u001B[32m----> \u001B[39m\u001B[32m1\u001B[39m res = \u001B[43mllm\u001B[49m\u001B[43m(\u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43mHello, how are you?\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[32m      2\u001B[39m \u001B[38;5;28mprint\u001B[39m(res.content)\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:191\u001B[39m, in \u001B[36mdeprecated.<locals>.deprecate.<locals>.warning_emitting_wrapper\u001B[39m\u001B[34m(*args, **kwargs)\u001B[39m\n\u001B[32m    189\u001B[39m     warned = \u001B[38;5;28;01mTrue\u001B[39;00m\n\u001B[32m    190\u001B[39m     emit_warning()\n\u001B[32m--> \u001B[39m\u001B[32m191\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mwrapped\u001B[49m\u001B[43m(\u001B[49m\u001B[43m*\u001B[49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m)\u001B[49m\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py:1190\u001B[39m, in \u001B[36mBaseChatModel.__call__\u001B[39m\u001B[34m(self, messages, stop, callbacks, **kwargs)\u001B[39m\n\u001B[32m   1168\u001B[39m \u001B[38;5;129m@deprecated\u001B[39m(\u001B[33m\"\u001B[39m\u001B[33m0.1.7\u001B[39m\u001B[33m\"\u001B[39m, alternative=\u001B[33m\"\u001B[39m\u001B[33minvoke\u001B[39m\u001B[33m\"\u001B[39m, removal=\u001B[33m\"\u001B[39m\u001B[33m1.0\u001B[39m\u001B[33m\"\u001B[39m)\n\u001B[32m   1169\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34m__call__\u001B[39m(\n\u001B[32m   1170\u001B[39m     \u001B[38;5;28mself\u001B[39m,\n\u001B[32m   (...)\u001B[39m\u001B[32m   1174\u001B[39m     **kwargs: Any,\n\u001B[32m   1175\u001B[39m ) -> BaseMessage:\n\u001B[32m   1176\u001B[39m \u001B[38;5;250m    \u001B[39m\u001B[33;03m\"\"\"Call the model.\u001B[39;00m\n\u001B[32m   1177\u001B[39m \n\u001B[32m   1178\u001B[39m \u001B[33;03m    Args:\u001B[39;00m\n\u001B[32m   (...)\u001B[39m\u001B[32m   1188\u001B[39m \u001B[33;03m        The model output message.\u001B[39;00m\n\u001B[32m   1189\u001B[39m \u001B[33;03m    \"\"\"\u001B[39;00m\n\u001B[32m-> \u001B[39m\u001B[32m1190\u001B[39m     generation = \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mgenerate\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m   1191\u001B[39m \u001B[43m        \u001B[49m\u001B[43m[\u001B[49m\u001B[43mmessages\u001B[49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mstop\u001B[49m\u001B[43m=\u001B[49m\u001B[43mstop\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mcallbacks\u001B[49m\u001B[43m=\u001B[49m\u001B[43mcallbacks\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\n\u001B[32m   1192\u001B[39m \u001B[43m    \u001B[49m\u001B[43m)\u001B[49m.generations[\u001B[32m0\u001B[39m][\u001B[32m0\u001B[39m]\n\u001B[32m   1193\u001B[39m     \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(generation, ChatGeneration):\n\u001B[32m   1194\u001B[39m         \u001B[38;5;28;01mreturn\u001B[39;00m generation.message\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py:746\u001B[39m, in \u001B[36mBaseChatModel.generate\u001B[39m\u001B[34m(self, messages, stop, callbacks, tags, metadata, run_name, run_id, **kwargs)\u001B[39m\n\u001B[32m    732\u001B[39m inheritable_metadata = {\n\u001B[32m    733\u001B[39m     **(metadata \u001B[38;5;129;01mor\u001B[39;00m {}),\n\u001B[32m    734\u001B[39m     **\u001B[38;5;28mself\u001B[39m._get_ls_params(stop=stop, **kwargs),\n\u001B[32m    735\u001B[39m }\n\u001B[32m    737\u001B[39m callback_manager = CallbackManager.configure(\n\u001B[32m    738\u001B[39m     callbacks,\n\u001B[32m    739\u001B[39m     \u001B[38;5;28mself\u001B[39m.callbacks,\n\u001B[32m   (...)\u001B[39m\u001B[32m    744\u001B[39m     \u001B[38;5;28mself\u001B[39m.metadata,\n\u001B[32m    745\u001B[39m )\n\u001B[32m--> \u001B[39m\u001B[32m746\u001B[39m messages_to_trace = \u001B[43m[\u001B[49m\n\u001B[32m    747\u001B[39m \u001B[43m    \u001B[49m\u001B[43m_format_for_tracing\u001B[49m\u001B[43m(\u001B[49m\u001B[43mmessage_list\u001B[49m\u001B[43m)\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43;01mfor\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43mmessage_list\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;129;43;01min\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43mmessages\u001B[49m\n\u001B[32m    748\u001B[39m \u001B[43m\u001B[49m\u001B[43m]\u001B[49m\n\u001B[32m    749\u001B[39m run_managers = callback_manager.on_chat_model_start(\n\u001B[32m    750\u001B[39m     \u001B[38;5;28mself\u001B[39m._serialized,\n\u001B[32m    751\u001B[39m     messages_to_trace,\n\u001B[32m   (...)\u001B[39m\u001B[32m    756\u001B[39m     batch_size=\u001B[38;5;28mlen\u001B[39m(messages),\n\u001B[32m    757\u001B[39m )\n\u001B[32m    758\u001B[39m results = []\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py:747\u001B[39m, in \u001B[36m<listcomp>\u001B[39m\u001B[34m(.0)\u001B[39m\n\u001B[32m    732\u001B[39m inheritable_metadata = {\n\u001B[32m    733\u001B[39m     **(metadata \u001B[38;5;129;01mor\u001B[39;00m {}),\n\u001B[32m    734\u001B[39m     **\u001B[38;5;28mself\u001B[39m._get_ls_params(stop=stop, **kwargs),\n\u001B[32m    735\u001B[39m }\n\u001B[32m    737\u001B[39m callback_manager = CallbackManager.configure(\n\u001B[32m    738\u001B[39m     callbacks,\n\u001B[32m    739\u001B[39m     \u001B[38;5;28mself\u001B[39m.callbacks,\n\u001B[32m   (...)\u001B[39m\u001B[32m    744\u001B[39m     \u001B[38;5;28mself\u001B[39m.metadata,\n\u001B[32m    745\u001B[39m )\n\u001B[32m    746\u001B[39m messages_to_trace = [\n\u001B[32m--> \u001B[39m\u001B[32m747\u001B[39m     \u001B[43m_format_for_tracing\u001B[49m\u001B[43m(\u001B[49m\u001B[43mmessage_list\u001B[49m\u001B[43m)\u001B[49m \u001B[38;5;28;01mfor\u001B[39;00m message_list \u001B[38;5;129;01min\u001B[39;00m messages\n\u001B[32m    748\u001B[39m ]\n\u001B[32m    749\u001B[39m run_managers = callback_manager.on_chat_model_start(\n\u001B[32m    750\u001B[39m     \u001B[38;5;28mself\u001B[39m._serialized,\n\u001B[32m    751\u001B[39m     messages_to_trace,\n\u001B[32m   (...)\u001B[39m\u001B[32m    756\u001B[39m     batch_size=\u001B[38;5;28mlen\u001B[39m(messages),\n\u001B[32m    757\u001B[39m )\n\u001B[32m    758\u001B[39m results = []\n",
+      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/Final_Assignment_Template/.venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py:124\u001B[39m, in \u001B[36m_format_for_tracing\u001B[39m\u001B[34m(messages)\u001B[39m\n\u001B[32m    122\u001B[39m \u001B[38;5;28;01mfor\u001B[39;00m message \u001B[38;5;129;01min\u001B[39;00m messages:\n\u001B[32m    123\u001B[39m     message_to_trace = message\n\u001B[32m--> \u001B[39m\u001B[32m124\u001B[39m     \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(\u001B[43mmessage\u001B[49m\u001B[43m.\u001B[49m\u001B[43mcontent\u001B[49m, \u001B[38;5;28mlist\u001B[39m):\n\u001B[32m    125\u001B[39m         \u001B[38;5;28;01mfor\u001B[39;00m idx, block \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28menumerate\u001B[39m(message.content):\n\u001B[32m    126\u001B[39m             \u001B[38;5;28;01mif\u001B[39;00m (\n\u001B[32m    127\u001B[39m                 \u001B[38;5;28misinstance\u001B[39m(block, \u001B[38;5;28mdict\u001B[39m)\n\u001B[32m    128\u001B[39m                 \u001B[38;5;129;01mand\u001B[39;00m block.get(\u001B[33m\"\u001B[39m\u001B[33mtype\u001B[39m\u001B[33m\"\u001B[39m) == \u001B[33m\"\u001B[39m\u001B[33mimage\u001B[39m\u001B[33m\"\u001B[39m\n\u001B[32m    129\u001B[39m                 \u001B[38;5;129;01mand\u001B[39;00m is_data_content_block(block)\n\u001B[32m    130\u001B[39m             ):\n",
+      "\u001B[31mAttributeError\u001B[39m: 'str' object has no attribute 'content'"
+     ]
+    }
+   ],
+   "execution_count": 11
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T19:28:51.451989Z",
+     "start_time": "2025-04-26T19:28:51.368687Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "res",
+   "id": "98d30f6eee7b2908",
    "outputs": [
     {
      "ename": "NameError",
+     "evalue": "name 'res' is not defined",
      "output_type": "error",
      "traceback": [
       "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
       "\u001B[31mNameError\u001B[39m                                 Traceback (most recent call last)",
+      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[1]\u001B[39m\u001B[32m, line 1\u001B[39m\n\u001B[32m----> \u001B[39m\u001B[32m1\u001B[39m \u001B[43mres\u001B[49m\n",
+      "\u001B[31mNameError\u001B[39m: name 'res' is not defined"
      ]
     }
    ],
+   "execution_count": 1
   },
   {
    "metadata": {},
    "outputs": [],
    "execution_count": null,
    "source": "",
+   "id": "28dae3f2d9a4220d"
   }
  ],
  "metadata": {

prompts/system_prompt.md ADDED Viewed

	@@ -0,0 +1,13 @@

+# Task: Answering GAIA Benchmark Questions
+You are tasked with answering questions from the GAIA benchmark for AI agents.
+Provide ONLY the precise answer to the question. Do not include explanations, reasoning, or any additional text. Be direct, specific, and concise to meet the strict exact-matching requirements of the GAIA benchmark.
+# Output Format
+- **Single-word or short-phrase answers:** If the question necessitates a brief answer, provide just that word or phrase.
+- **Numerical values:** Provide only the number when applicable, with no additional formatting or units unless specifically requested.
+- **Full sentences:** If the question expects a sentence, provide the exact sentence required with no extra characters, punctuation, or formatting.
+# Notes
+- Be aware of strict exact-matching requirements; even minor deviations can result in an incorrect response.
+- If any ambiguity exists in the phrasing of the input, respond with an answer that aligns with the GAIA benchmark's intended interpretation."""), ("user", question)])

requirements.txt CHANGED Viewed

@@ -5,4 +5,5 @@ langchain~=0.3.24
 dotenv~=0.9.9
 python-dotenv~=1.1.0
 typing_extensions~=4.13.2
-langchain-groq~=0.3.2

 dotenv~=0.9.9
 python-dotenv~=1.1.0
 typing_extensions~=4.13.2
+langchain-groq~=0.3.2
+langgraph~=0.3.34

test.ipynb ADDED Viewed

	@@ -0,0 +1,123 @@

+{
+ "cells": [
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T16:18:43.794743Z",
+     "start_time": "2025-04-26T16:18:43.451406Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "from dotenv import load_dotenv\n",
+    "\n",
+    "\n",
+    "load_dotenv()\n",
+    "\n",
+    "from langchain.chat_models import init_chat_model\n",
+    "\n",
+    "model = init_chat_model(\"llama-3.3-70b-versatile\", model_provider=\"groq\")\n",
+    "\n",
+    "\n"
+   ],
+   "id": "8650e18ecedee76b",
+   "outputs": [],
+   "execution_count": 1
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T16:47:43.167391Z",
+     "start_time": "2025-04-26T16:47:42.533561Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "\n",
+    "\n",
+    "\n",
+    "response = model.invoke([(\"system\", \"You are a general AI assistant. I will ask you a question. Report your thoughts, and finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.\"), (\"user\", \"How many studio albums were published by Mercedes Sosa between 2000 and 2009 (included)? You can use the latest 2022 version of english wikipedia.\")])"
+   ],
+   "id": "2cf579b261985300",
+   "outputs": [],
+   "execution_count": 7
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T16:44:53.835775Z",
+     "start_time": "2025-04-26T16:44:53.788795Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "response",
+   "id": "6f8ec7273ff2b9c9",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "AIMessage(content=\"According to the 2022 English Wikipedia, Mercedes Sosa published the following studio albums between 2000 and 2009:\\n\\n1. Acústico (2002) - Although described as 'acústico', some sources consider this as a live album.\\n2. Argentina Que Tal (2001) - This is considered a 'live with guests' album but some sources consider this as a studio album.\\n3. Corazón Libre (2005) - This is considered a studio album.\\n4. Cantora (2009) - This is considered a studio album.\\n\\nTherefore, the number of studio albums published by Mercedes Sosa between 2000 and 2009 (included) can be considered as 3 or 4, depending on how 'Acústico' and 'Argentina Que Tal' are classified.\", additional_kwargs={}, response_metadata={'token_usage': {'completion_tokens': 171, 'prompt_tokens': 69, 'total_tokens': 240, 'completion_time': 0.621818182, 'prompt_time': 0.004940866, 'queue_time': 0.093644521, 'total_time': 0.626759048}, 'model_name': 'llama-3.3-70b-versatile', 'system_fingerprint': 'fp_9a8b91ba77', 'finish_reason': 'stop', 'logprobs': None}, id='run-151ecdee-f777-4723-98bc-0b5e0243300a-0', usage_metadata={'input_tokens': 69, 'output_tokens': 171, 'total_tokens': 240})"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 5
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-04-26T16:47:46.695284Z",
+     "start_time": "2025-04-26T16:47:46.684725Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "response.content",
+   "id": "ee0f4c8b47699033",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'To find out how many studio albums were published by Mercedes Sosa between 2000 and 2009, I need to look at her discography. According to the Wikipedia page on Mercedes Sosa, her studio albums between 2000 and 2009 are: \\n- Acústico (2002) \\n- Corazón libre (2005) \\n- Cantora (2009).\\n\\nFINAL ANSWER: 3'"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 8
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": "",
+   "id": "1fa2a5fe69809336"
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}