Building_Code_Documentation_Agents.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Building Code Documentation Agents with CrewAI"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![ Click here to deploy.](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://console.brev.dev/launchable/deploy?launchableID=env-2qNXgLMuzlJ8LS8Kl30EXbGwxSh)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook demonstrates how to create a crew of multiple Agents for writing documentation using CrewAI Flows.\n",
    "The crew will analyze code from any public GitHub repository and generate comprehensive documentation\n",
    "by working collaboratively using specialized agents with different roles and responsibilities.\n",
    "CrewAI Flows enable coordinated execution and communication between agents to produce high-quality\n",
    "documentation for any codebase.\n",
    "\n",
    "You will use NVIDIA NIM Microservices for the LLM, llama 3.3 70B. In addition, NeMo Retriever E5 embedding NIM, is used. \n",
    "\n",
    "You can get started by leveraging NVIDIA API Catalog and call a hosted model's NIM API Endpoint. Once you familiarize yourself with this blueprint, you may want to self-host models with NVIDIA NIM Microservices.\n",
    "\n",
    "Here's an architecture diagram of the workflow.\n",
    "![arch diagram](data:image/png;base64,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)\n",
    "\n",
    "The system employs a multi-agent workflow divided into two key stages:\n",
    "1. Codebase Analysis and Strategy Planning:\n",
    "    - Analyze Codebase: Planner agents inspect the repository to map its structure, identify key components, and understand interdependencies.\n",
    "    - Develop Strategy: They create a tailored documentation plan based on the analysis.\n",
    "2. Documentation Creation and Review:\n",
    "    - High-Level Documentation: One agent generates clear, comprehensive documentation introducing the project and its architecture.\n",
    "    - Quality Assurance: Another agent ensures accuracy, consistency, and completeness across all documentation.\n",
    "\n",
    "\n",
    "\n",
    "# Content Overview\n",
    ">[Prerequisites](#Prerequisites)  \n",
    ">[Define the project URL](#Define-the-project-URL)  \n",
    ">[Create Planning Crew](#Create-Planning-Crew)  \n",
    ">[Create Documentation Crew](#Create-Documentation-Crew)  \n",
    ">[Run Documentation Flow](#Run-Documentation-Flow)  \n",
    "________________________\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prerequisites \n",
    "### Install Dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Install required packages\n",
    "%pip install \"crewai[tools]==0.86.0\" tqdm==4.67.1 langchain_nvidia_ai_endpoints==0.3.7"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initialization and Setup\n",
    "Initial imports for the CrewAI Flow and Crew and setting up the environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing necessary libraries\n",
    "import os\n",
    "import yaml\n",
    "import subprocess\n",
    "from pathlib import Path\n",
    "from pydantic import BaseModel\n",
    "\n",
    "# Importing Crew related components\n",
    "from crewai import Agent, Task, Crew\n",
    "\n",
    "# Importing CrewAI Flow related components\n",
    "from crewai.flow.flow import Flow, listen, start\n",
    "\n",
    "# Apply a patch to allow nested asyncio loops in Jupyter\n",
    "import nest_asyncio\n",
    "nest_asyncio.apply()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## API Keys\n",
    "Prior to getting started, you will need to create API Keys for the NVIDIA API Catalog.\n",
    "\n",
    "- NVIDIA API Catalog\n",
    "  1. Navigate to **[NVIDIA API Catalog](https://build.nvidia.com/explore/discover)**.\n",
    "  2. Select any model, such as llama-3.3-70b-instruct.\n",
    "  3. On the right panel above the sample code snippet, click on \"Get API Key\". This will prompt you to log in if you have not already.\n",
    "\n",
    "### Export API Keys\n",
    "\n",
    "Save this API Key as environment variables.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import getpass\n",
    "import os\n",
    "\n",
    "if not os.environ.get(\"NVIDIA_NIM_API_KEY\", \"\").startswith(\"nvapi-\"):\n",
    "    nvapi_key = getpass.getpass(\"Enter your NVIDIA API key: \")\n",
    "    assert nvapi_key.startswith(\"nvapi-\"), f\"{nvapi_key[:5]}... is not a valid key\"\n",
    "    os.environ[\"NVIDIA_NIM_API_KEY\"] = nvapi_key\n",
    "    os.environ[\"NVIDIA_API_KEY\"] = nvapi_key"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Working with the NVIDIA API Catalog\n",
    "Let's test the API endpoint. The NVIDIA NIM Microservices used in this notebook are llama-3.3-70b and an NVIDIA text embedding model, nv-embedqa-e5-v5. These are models are defined in the yaml files in the `config` directory if you're looking for them!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from litellm import completion\n",
    "\n",
    "response = completion(\n",
    "    model=\"nvidia_nim/meta/llama-3.3-70b-instruct\",\n",
    "    messages=[\n",
    "        {\n",
    "            \"role\": \"user\",\n",
    "            \"content\": \"What's a good name for a dog?\",\n",
    "        }\n",
    "    ]\n",
    ")\n",
    "\n",
    "print(response)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Optional: Locally Run NVIDIA NIM Microservices\n",
    "\n",
    "Once you familiarize yourself with this blueprint, you may want to self-host models with NVIDIA NIM Microservices using NVIDIA AI Enterprise software license. This gives you the ability to run models anywhere, giving you ownership of your customizations and full control of your intellectual property (IP) and AI applications.\n",
    "\n",
    "[Learn more about NIM Microservices](https://developer.nvidia.com/blog/nvidia-nim-offers-optimized-inference-microservices-for-deploying-ai-models-at-scale/)\n",
    "\n",
    "<div class=\"alert alert-block alert-success\">\n",
    "<b>NOTE:</b> Run the following cell only if you're using a local NIM Microservice instead of the API Catalog Endpoint.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain_nvidia_ai_endpoints import ChatNVIDIA\n",
    "\n",
    "# connect to an embedding NIM running at localhost:8000, specifying a model\n",
    "llm = ChatNVIDIA(base_url=\"http://localhost:8000/v1\", model=\"meta/llama-3.3-70b-instruct\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define the project URL\n",
    "\n",
    "In this demo, a sample repository is provided for you. However, feel fry to test this on other public repositories! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "project_url = \"https://github.com/crewAIInc/nvidia-demo\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plan for our Flow\n",
    "\n",
    "1. Clone the repository for the project\n",
    "2. Plan the documentation for the project **[Crew of Agents]** \n",
    "3. Create the documentation for the project **[Crew of Agents]**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ![CrewAIFlow.png](crewai-nim-flow.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Planning Crew\n",
    "\n",
    "Initial strucutre data we will use to capture the output of the planning crew"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define data structures to capture documentation planning output\n",
    "class DocItem(BaseModel):\n",
    "    \"\"\"Represents a documentation item\"\"\"\n",
    "    title: str\n",
    "    description: str\n",
    "    prerequisites: str\n",
    "    examples: list[str]\n",
    "    goal: str\n",
    "\n",
    "class DocPlan(BaseModel):\n",
    "    \"\"\"Documentation plan\"\"\"\n",
    "    overview: str\n",
    "    docs: list[DocItem]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Optimizing for Llama 3.3 Prompting Template"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Agents Prompting Template for Llama 3.3\n",
    "system_template=\"\"\"<|begin_of_text|><|start_header_id|>system<|end_header_id|>{{ .System }}<|eot_id|>\"\"\"\n",
    "prompt_template=\"\"\"<|start_header_id|>user<|end_header_id|>{{ .Prompt }}<|eot_id|>\"\"\"\n",
    "response_template=\"\"\"<|start_header_id|>assistant<|end_header_id|>{{ .Response }}<|eot_id|>\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create the crew"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from crewai_tools import (\n",
    "    DirectoryReadTool,\n",
    "    FileReadTool,\n",
    ")\n",
    "\n",
    "# Load agent and task configurations from YAML files\n",
    "with open('config/planner_agents.yaml', 'r') as f:\n",
    "    agents_config = yaml.safe_load(f)\n",
    "\n",
    "with open('config/planner_tasks.yaml', 'r') as f:\n",
    "    tasks_config = yaml.safe_load(f)\n",
    "\n",
    "code_explorer = Agent(\n",
    "  config=agents_config['code_explorer'],\n",
    "  system_template=system_template,\n",
    "  prompt_template=prompt_template,\n",
    "  response_template=response_template,\n",
    "  tools=[\n",
    "    DirectoryReadTool(),\n",
    "    FileReadTool()\n",
    "  ]\n",
    ")\n",
    "documentation_planner = Agent(\n",
    "  config=agents_config['documentation_planner'],\n",
    "  system_template=system_template,\n",
    "  prompt_template=prompt_template,\n",
    "  response_template=response_template,\n",
    "  tools=[\n",
    "    DirectoryReadTool(),\n",
    "    FileReadTool()\n",
    "  ]\n",
    ")\n",
    "\n",
    "analyze_codebase = Task(\n",
    "  config=tasks_config['analyze_codebase'],\n",
    "  agent=code_explorer\n",
    ")\n",
    "create_documentation_plan = Task(\n",
    "  config=tasks_config['create_documentation_plan'],\n",
    "  agent=documentation_planner,\n",
    "  output_pydantic=DocPlan\n",
    ")\n",
    "\n",
    "planning_crew = Crew(\n",
    "    agents=[code_explorer, documentation_planner],\n",
    "    tasks=[analyze_codebase, create_documentation_plan],\n",
    "    verbose=False\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Documentation Crew\n",
    "\n",
    "Crew of AI Agents to execute the documentation plan and create the documentation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tools for the documentation crew"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import Type\n",
    "from crewai_tools import BaseTool\n",
    "from pydantic import BaseModel, Field\n",
    "\n",
    "class ValidateMermaidInput(BaseModel):\n",
    "    \"\"\"Input schema for ValidateMermaidTool.\"\"\"\n",
    "    text: str = Field(..., description=\"Mermaid diagram text to validate.\")\n",
    "\n",
    "class ValidateMermaidTool(BaseTool):\n",
    "    name: str = \"Validate Mermaid Diagram\"\n",
    "    description: str = (\n",
    "        \"Validates Mermaid diagram syntax, specifically checking for proper arrow syntax \"\n",
    "        \"and ensuring there are no invalid trailing '>' characters or malformed pipe ('|') decorators.\"\n",
    "    )\n",
    "    args_schema: Type[BaseModel] = ValidateMermaidInput\n",
    "\n",
    "    def _run(self, text: str) -> bool:\n",
    "        # Check for invalid trailing > in arrow syntax\n",
    "        if \"|>\" in text:\n",
    "            return False\n",
    "\n",
    "        # Check for valid arrow syntax\n",
    "        valid_arrows = [\"-->\", \"---\", \"---|\", \"|---|\"]\n",
    "        lines = text.split(\"\\n\")\n",
    "        for line in lines:\n",
    "            if any(arrow in line for arrow in valid_arrows):\n",
    "                # Verify arrow syntax is properly formatted\n",
    "                parts = line.split()\n",
    "                for part in parts:\n",
    "                    if part.startswith(\"|\") and not part.endswith(\"|\"):\n",
    "                        return False\n",
    "                    if part.endswith(\">\") and not part.startswith(\"-\"):\n",
    "                        return False\n",
    "\n",
    "        return True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create the Crew"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from crewai_tools import (\n",
    "    DirectoryReadTool,\n",
    "    FileReadTool,\n",
    "    WebsiteSearchTool\n",
    ")\n",
    "\n",
    "# Load agent and task configurations from YAML files\n",
    "with open('config/documentation_agents.yaml', 'r') as f:\n",
    "    agents_config = yaml.safe_load(f)\n",
    "\n",
    "with open('config/documentation_tasks.yaml', 'r') as f:\n",
    "    tasks_config = yaml.safe_load(f)\n",
    "\n",
    "overview_writer = Agent(config=agents_config['overview_writer'], tools=[\n",
    "    DirectoryReadTool(),\n",
    "    FileReadTool(),\n",
    "    ValidateMermaidTool(),\n",
    "    WebsiteSearchTool(\n",
    "      website=\"https://mermaid.js.org/syntax/examples.html\",\n",
    "      config=dict(\n",
    "        embedder=dict(\n",
    "            provider=\"nvidia\",\n",
    "            config=dict(\n",
    "                model=\"nvidia/nv-embedqa-e5-v5\"\n",
    "            ),\n",
    "        ),\n",
    "      )\n",
    "    )\n",
    "])\n",
    "\n",
    "documentation_reviewer = Agent(config=agents_config['documentation_reviewer'], tools=[\n",
    "    DirectoryReadTool(directory=\"docs/\", name=\"Check existing documentation folder\"),\n",
    "    ValidateMermaidTool(),\n",
    "    FileReadTool(),\n",
    "])\n",
    "\n",
    "draft_documentation = Task(\n",
    "  config=tasks_config['draft_documentation'],\n",
    "  agent=overview_writer\n",
    ")\n",
    "\n",
    "qa_review_documentation = Task(\n",
    "  config=tasks_config['qa_review_documentation'],\n",
    "  agent=documentation_reviewer\n",
    ")\n",
    "\n",
    "documentation_crew = Crew(\n",
    "    agents=[overview_writer, documentation_reviewer],\n",
    "    tasks=[draft_documentation, qa_review_documentation],\n",
    "    verbose=False\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Documentation Flow\n",
    "\n",
    "A Flow to create the documentation for the project where we will use the planning crew to plan the documentation and the documentation crew to create the documentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "class DocumentationState(BaseModel):\n",
    "  \"\"\"\n",
    "  State for the documentation flow\n",
    "  \"\"\"\n",
    "  project_url: str = project_url\n",
    "  repo_path: Path = \"workdir/\"\n",
    "\n",
    "class CreateDocumentationFlow(Flow[DocumentationState]):\n",
    "  # Clone the repository, initial step\n",
    "  # No need for AI Agents on this step, so we just use regular Python code\n",
    "  @start()\n",
    "  def clone_repo(self):\n",
    "    print(f\"# Cloning repository: {self.state.project_url}\")\n",
    "    # Extract repo name from URL\n",
    "    repo_name = self.state.project_url.split(\"/\")[-1]\n",
    "    self.state.repo_path = f\"{self.state.repo_path}{repo_name}\"\n",
    "\n",
    "  # Check if directory exists\n",
    "    if Path(self.state.repo_path).exists():\n",
    "      print(f\"# Repository directory already exists at {self.state.repo_path}\")\n",
    "      subprocess.run([\"rm\", \"-rf\", self.state.repo_path])\n",
    "      print(\"# Removed existing directory\")\n",
    "\n",
    "    # Clone the repository\n",
    "    subprocess.run([\"git\", \"clone\", self.state.project_url, self.state.repo_path])\n",
    "    return self.state\n",
    "\n",
    "  @listen(clone_repo)\n",
    "  def plan_docs(self):\n",
    "    print(f\"# Planning documentation for: {self.state.repo_path}\")\n",
    "    result = planning_crew.kickoff(inputs={'repo_path': self.state.repo_path})\n",
    "    print(f\"# Planned docs for {self.state.repo_path}:\")\n",
    "    for doc in result.pydantic.docs:\n",
    "        print(f\"    - {doc.title}\")\n",
    "    return result\n",
    "\n",
    "  @listen(plan_docs)\n",
    "  def save_plan(self, plan):\n",
    "    with open(\"docs/plan.json\", \"w\") as f:\n",
    "      f.write(plan.raw)\n",
    "\n",
    "  @listen(plan_docs)\n",
    "  def create_docs(self, plan):\n",
    "    for doc in plan.pydantic.docs:\n",
    "      print(f\"# Creating documentation for: {doc.title}\")\n",
    "      result = documentation_crew.kickoff(inputs={\n",
    "        'repo_path': self.state.repo_path,\n",
    "        'title': doc.title,\n",
    "        'overview': plan.pydantic.overview,\n",
    "        'description': doc.description,\n",
    "        'prerequisites': doc.prerequisites,\n",
    "        'examples': doc.examples,\n",
    "        'goal': doc.goal\n",
    "      })\n",
    "\n",
    "      # Save documentation to file in docs folder\n",
    "      docs_dir = Path(\"docs\")\n",
    "      docs_dir.mkdir(exist_ok=True)\n",
    "      title = doc.title.lower().replace(\" \", \"_\") + \".mdx\"\n",
    "      with open(docs_dir / title, \"w\") as f:\n",
    "          f.write(result.raw)\n",
    "    print(f\"# Documentation created for: {self.state.repo_path}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Implementing helper methods to plot and execute the flow in a Jupyter notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Plot the flow\n",
    "flow = CreateDocumentationFlow()\n",
    "flow.plot()\n",
    "\n",
    "# Display the flow visualization using IFrame\n",
    "from IPython.display import IFrame\n",
    "\n",
    "# Display the flow visualization\n",
    "IFrame(src='./crewai_flow.html', width='100%', height=400)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run Documentation Flow\n",
    "\n",
    "After running this cell, check the `docs` directory for the generated documentation. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "flow = CreateDocumentationFlow()\n",
    "flow.kickoff()"
   ]
  }
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