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fix: Correct markdown formatting and remove deprecated multi-agent example notebook
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Lines changed: 79 additions & 279 deletions

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‎examples/smolagents/multi_smolagents_system.ipynb‎

Lines changed: 78 additions & 17 deletions
Original file line numberDiff line numberDiff line change
@@ -34,7 +34,7 @@
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" | Visit webpage tool |\n",
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" +--------------------------------+\n",
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"```\n",
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"Let\u2019s set up this system.\n",
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"Let’s set up this system.\n",
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"\n",
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"Run the line below to install the required dependencies:"
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]
@@ -57,32 +57,51 @@
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"id": "00509499",
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"metadata": {},
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"source": [
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"\ud83d\udd87\ufe0f Now we initialize the AgentOps client and load the environment variables to use the API keys."
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"🖇️ Now we initialize the AgentOps client and load the environment variables to use the API keys."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "330770fd",
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"metadata": {},
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"outputs": [],
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"source": "import agentops\nfrom dotenv import load_dotenv\nimport os\nimport re\nimport requests\nfrom markdownify import markdownify\nfrom requests.exceptions import RequestException\nfrom smolagents import tool\nfrom smolagents import LiteLLMModel\nfrom smolagents import (\n CodeAgent,\n ToolCallingAgent,\n ManagedAgent,\n DuckDuckGoSearchTool,\n)\n\nload_dotenv()\nos.environ[\"AGENTOPS_API_KEY\"] = os.getenv(\"AGENTOPS_API_KEY\", \"your_api_key_here\")\nos.environ[\"OPENAI_API_KEY\"] = os.getenv(\"OPENAI_API_KEY\", \"your_openai_api_key_here\")",
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"execution_count": null
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"source": [
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"import agentops\n",
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"from dotenv import load_dotenv\n",
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"import os\n",
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"import re\n",
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"import requests\n",
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"from markdownify import markdownify\n",
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"from requests.exceptions import RequestException\n",
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"\n",
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"load_dotenv()\n",
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"os.environ[\"AGENTOPS_API_KEY\"] = os.getenv(\"AGENTOPS_API_KEY\", \"your_api_key_here\")\n",
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"os.environ[\"OPENAI_API_KEY\"] = os.getenv(\"OPENAI_API_KEY\", \"your_openai_api_key_here\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "9516d2a7",
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"metadata": {},
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"source": [
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"\u26a1\ufe0f Our agent will be powered by `openai/gpt-4o-mini` using the `LiteLLMModel` class."
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"⚡️ Our agent will be powered by `openai/gpt-4o-mini` using the `LiteLLMModel` class."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "5f78927c",
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"metadata": {},
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"outputs": [],
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"source": "agentops.init(auto_start_session=False)\ntracer = agentops.start_trace(\n trace_name=\"Orchestrate a Multi-Agent System\", tags=[\"smolagents\", \"example\", \"multi-agent\", \"agentops-example\"]\n)\nmodel = LiteLLMModel(\"openai/gpt-4o-mini\")",
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"execution_count": null
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"source": [
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"agentops.init(auto_start_session=False)\n",
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"tracer = agentops.start_trace(\n",
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" trace_name=\"Orchestrate a Multi-Agent System\", tags=[\"smolagents\", \"example\", \"multi-agent\", \"agentops-example\"]\n",
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")\n",
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"from smolagents import LiteLLMModel, tool ,CodeAgent, ToolCallingAgent, DuckDuckGoSearchTool\n",
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"model = LiteLLMModel(\"openai/gpt-4o-mini\")"
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]
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},
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{
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"cell_type": "markdown",
@@ -91,23 +110,51 @@
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"source": [
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"## Create a Web Search Tool\n",
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"\n",
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"For web browsing, we can already use our pre-existing `DuckDuckGoSearchTool`. However, we will also create a `VisitWebpageTool` from scratch using `markdownify`. Here\u2019s how:"
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"For web browsing, we can already use our pre-existing `DuckDuckGoSearchTool`. However, we will also create a `VisitWebpageTool` from scratch using `markdownify`. Here’s how:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "01689447",
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"metadata": {},
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"outputs": [],
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"source": "@tool\ndef visit_webpage(url: str) -> str:\n \"\"\"Visits a webpage at the given URL and returns its content as a markdown string.\n\n Args:\n url: The URL of the webpage to visit.\n\n Returns:\n The content of the webpage converted to Markdown, or an error message if the request fails.\n \"\"\"\n try:\n # Send a GET request to the URL\n response = requests.get(url)\n response.raise_for_status() # Raise an exception for bad status codes\n\n # Convert the HTML content to Markdown\n markdown_content = markdownify(response.text).strip()\n\n # Remove multiple line breaks\n markdown_content = re.sub(r\"\\n{3,}\", \"\\n\\n\", markdown_content)\n\n return markdown_content\n\n except RequestException as e:\n return f\"Error fetching the webpage: {str(e)}\"\n except Exception as e:\n return f\"An unexpected error occurred: {str(e)}\"",
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"execution_count": null
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"source": [
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"@tool\n",
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"def visit_webpage(url: str) -> str:\n",
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" \"\"\"Visits a webpage at the given URL and returns its content as a markdown string.\n",
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"\n",
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" Args:\n",
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" url: The URL of the webpage to visit.\n",
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"\n",
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" Returns:\n",
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" The content of the webpage converted to Markdown, or an error message if the request fails.\n",
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" \"\"\"\n",
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" try:\n",
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" # Send a GET request to the URL\n",
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" response = requests.get(url)\n",
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" response.raise_for_status() # Raise an exception for bad status codes\n",
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"\n",
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" # Convert the HTML content to Markdown\n",
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" markdown_content = markdownify(response.text).strip()\n",
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"\n",
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" # Remove multiple line breaks\n",
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" markdown_content = re.sub(r\"\\n{3,}\", \"\\n\\n\", markdown_content)\n",
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"\n",
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" return markdown_content\n",
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"\n",
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" except RequestException as e:\n",
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" return f\"Error fetching the webpage: {str(e)}\"\n",
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" except Exception as e:\n",
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" return f\"An unexpected error occurred: {str(e)}\""
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]
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},
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{
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"cell_type": "markdown",
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"id": "3c45517b",
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"metadata": {},
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"source": [
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"Let\u2019s test our tool:"
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"Let’s test our tool:"
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]
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},
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{
@@ -132,18 +179,32 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f274b34f",
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"metadata": {},
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"outputs": [],
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"source": "web_agent = ToolCallingAgent(\n tools=[DuckDuckGoSearchTool(), visit_webpage],\n model=model,\n max_iterations=10,\n)\n\nmanaged_web_agent = ManagedAgent(\n agent=web_agent,\n name=\"search\",\n description=\"Runs web searches for you. Give it your query as an argument.\",\n)\n\nmanager_agent = CodeAgent(\n tools=[],\n model=model,\n managed_agents=[managed_web_agent],\n additional_authorized_imports=[\"time\", \"numpy\", \"pandas\"],\n)",
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"execution_count": null
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"source": [
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"web_agent = ToolCallingAgent(\n",
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" tools=[DuckDuckGoSearchTool(), visit_webpage],\n",
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" model=model,\n",
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" name=\"search\",\n",
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" description=\"Runs web searches for you. Give it your query as an argument.\",\n",
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")\n",
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"\n",
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"manager_agent = CodeAgent(\n",
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" tools=[],\n",
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" model=model,\n",
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" managed_agents=[web_agent],\n",
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" additional_authorized_imports=[\"time\", \"numpy\", \"pandas\"],\n",
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")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "d5977883",
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"metadata": {},
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"source": [
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"Let\u2019s run our system with the following query:"
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"Let’s run our system with the following query:"
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]
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},
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{
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],
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"metadata": {
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"kernelspec": {
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"display_name": "test",
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.8"
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"version": "3.11.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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}

‎examples/smolagents/multi_smolagents_system.py‎

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Original file line numberDiff line numberDiff line change
@@ -40,7 +40,6 @@
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from smolagents import (
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CodeAgent,
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ToolCallingAgent,
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ManagedAgent,
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DuckDuckGoSearchTool,
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)
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@@ -96,19 +95,12 @@ def visit_webpage(url: str) -> str:
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web_agent = ToolCallingAgent(
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tools=[DuckDuckGoSearchTool(), visit_webpage],
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model=model,
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max_iterations=10,
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)
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managed_web_agent = ManagedAgent(
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agent=web_agent,
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name="search",
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description="Runs web searches for you. Give it your query as an argument.",
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)
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manager_agent = CodeAgent(
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tools=[],
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model=model,
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managed_agents=[managed_web_agent],
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managed_agents=[web_agent],
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additional_authorized_imports=["time", "numpy", "pandas"],
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)
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# Let’s run our system with the following query:

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