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  {
    "id": "google-adk-docs-1",
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    "url": "https://google.github.io/adk-docs/get-started/",
    "excerpt": "Create your first Python ADK agent in minutes.",
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  },
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    "id": "google-adk-docs-2",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/agents/",
    "excerpt": "Building an agent with just a model, instructions, and tools is a great place to start for most developers.",
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  },
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    "id": "google-adk-docs-3",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/agents/",
    "excerpt": "you can use the ADK development framework to expand them into workflows, which allow you to combine and orchestrate multiple agents and code execution tasks",
    "fetchedAt": "2026-09-04T19:21:06.728Z"
  },
  {
    "id": "google-adk-docs-4",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/mcp/",
    "excerpt": "An ADK agent can act as an MCP client and use tools provided by external MCP servers.",
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  },
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    "id": "google-adk-docs-5",
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    "url": "https://google.github.io/adk-docs/mcp/",
    "excerpt": "Exposing ADK Tools via an MCP Server: How to build an MCP server that wraps ADK tools, making them accessible to any MCP client.",
    "fetchedAt": "2026-09-04T19:21:06.728Z"
  },
  {
    "id": "google-adk-docs-6",
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    "url": "https://google.github.io/adk-docs/deploy/",
    "excerpt": "Agent Runtime is a fully managed auto-scaling service on Google Cloud specifically designed for deploying, managing, and scaling AI agents built with frameworks such as ADK.",
    "fetchedAt": "2026-09-04T19:21:06.728Z"
  },
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    "id": "google-adk-docs-7",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/deploy/",
    "excerpt": "This is a good option if you prefer to run offline or disconnected, or otherwise in a system that has no connection to Google Cloud.",
    "fetchedAt": "2026-09-04T19:21:06.728Z"
  },
  {
    "id": "google-adk-docs-8",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/evaluate/",
    "excerpt": "This approach involves creating individual test files, each representing a single, simple agent-model interaction (a session).",
    "fetchedAt": "2026-09-04T19:21:06.728Z"
  },
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    "id": "google-adk-gh-1",
    "tier": "github",
    "url": "https://github.com/google/adk-python",
    "excerpt": "Agent Config: Build agents without code.",
    "fetchedAt": "2026-09-04T19:21:06.728Z"
  },
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    "id": "google-adk-gh-2",
    "tier": "github",
    "url": "https://github.com/google/adk-python",
    "excerpt": "Tool Confirmation: A tool confirmation flow (HITL) that can guard tool execution with explicit confirmation and custom input.",
    "fetchedAt": "2026-09-04T19:21:06.728Z"
  },
  {
    "id": "google-adk-gh-3",
    "tier": "github",
    "url": "https://github.com/google/adk-python",
    "excerpt": "A built-in development UI to help you test, evaluate, debug, and showcase your agent(s).",
    "fetchedAt": "2026-09-04T19:21:06.728Z"
  },
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    "id": "google-adk-gh-4",
    "tier": "github",
    "url": "https://github.com/google/adk-python",
    "excerpt": "Web UI (supports multi-agent directories or pointing directly to a single agent folder)",
    "fetchedAt": "2026-09-04T19:21:06.728Z"
  },
  {
    "id": "google-adk-docs-9",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/",
    "excerpt": "ADK is designed to be written by both humans and AI. Connect your favorite coding assistant to our ADK developer Skills and AI-aware developer resources",
    "fetchedAt": "2026-09-04T19:21:06.728Z"
  },
  {
    "id": "google-adk-docs-10",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/",
    "excerpt": "Go from idea to coded ADK agent in minutes. Use your favorite AI-enabled developer environment to scaffold, build, test, evaluate, and deploy with Agents CLI.",
    "fetchedAt": "2026-09-04T19:21:06.728Z"
  },
  {
    "id": "google-adk-docs-11",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/",
    "excerpt": "Weave deterministic code with adaptive AI reasoning. Orchestrate complex tasks through structured, graph-based architectures, with explicit execution paths and predictable outcomes.",
    "fetchedAt": "2026-09-04T19:21:06.728Z"
  },
  {
    "id": "google-adk-docs-12",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/",
    "excerpt": "ADK automatically filters irrelevant events, summarizes older conversational turns, lazy-loads artifacts, and tracks token usage.",
    "fetchedAt": "2026-09-04T19:21:06.728Z"
  },
  {
    "id": "google-adk-docs-13",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/agents/",
    "excerpt": "The basic components of an Agent are an artificial intelligence (AI) model, task instructions, and optionally, a set of tools to be used by the agent.",
    "fetchedAt": "2026-09-04T19:21:32.015Z"
  },
  {
    "id": "google-adk-docs-14",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/deploy/",
    "excerpt": "Cloud Run is a managed auto-scaling compute platform on Google Cloud that enables you to run your agent as a container-based application.",
    "fetchedAt": "2026-09-04T19:21:32.015Z"
  },
  {
    "id": "google-adk-docs-15",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/",
    "excerpt": "ADK can work with almost any generative AI model. The framework provides easy access to Gemini as well as other leading models, and we provide adapters that let you connect with many other models and model providers, including locally running models.",
    "fetchedAt": "2026-09-04T19:21:32.015Z"
  },
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    "id": "google-adk-gh-5",
    "tier": "github",
    "url": "https://github.com/google/adk-python",
    "excerpt": "adk run path/to/my_agent",
    "fetchedAt": "2026-09-04T19:21:32.015Z"
  },
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    "id": "google-adk-gh-6",
    "tier": "github",
    "url": "https://github.com/google/adk-python",
    "excerpt": "Workflow Runtime: A graph-based execution engine for composing deterministic execution flows for agentic apps, with support for routing, fan-out/fan-in, loops, retry, state management, dynamic nodes, human-in-the-loop, and nested workflows.",
    "fetchedAt": "2026-09-04T19:21:32.015Z"
  },
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    "id": "google-adk-gh-7",
    "tier": "github",
    "url": "https://github.com/google/adk-python",
    "excerpt": "Task API: Structured agent-to-agent delegation with multi-turn task mode, single-turn controlled output, mixed delegation patterns, human-in-the-loop, and task agents as workflow nodes.",
    "fetchedAt": "2026-09-04T19:21:32.015Z"
  },
  {
    "id": "google-adk-docs-16",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/agents/",
    "excerpt": "In ADK, any agent application that has more than one agent or executable Node is considered a workflow.",
    "fetchedAt": "2026-09-16T02:13:34.339Z"
  },
  {
    "id": "google-adk-docs-17",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/get-started/",
    "excerpt": "Migrate existing agents and workflows to ADK with Agents CLI.",
    "fetchedAt": "2026-09-16T02:13:34.339Z"
  },
  {
    "id": "google-adk-docs-18",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/mcp/",
    "excerpt": "How to build an MCP server that wraps ADK tools, making them accessible to any MCP client.",
    "fetchedAt": "2026-09-16T02:13:34.339Z"
  },
  {
    "id": "google-adk-docs-19",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/deploy/",
    "excerpt": "GKE is a good option if you need more control over the deployment as well as for running Open Models.",
    "fetchedAt": "2026-09-16T02:13:34.339Z"
  },
  {
    "id": "google-adk-docs-20",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/evaluate/",
    "excerpt": "ADK provides both groundtruth based and rubric based tool use evaluation metrics.",
    "fetchedAt": "2026-09-16T02:13:34.339Z"
  },
  {
    "id": "google-adk-docs-21",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/evaluate/",
    "excerpt": "This approach involves creating individual test files, each representing a single, simple agent-model interaction (a session). It's most effective during active agent development, serving as a form of unit testing.",
    "fetchedAt": "2026-09-16T02:13:34.339Z"
  },
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    "id": "google-adk-gh-8",
    "tier": "github",
    "url": "https://github.com/google/adk-python",
    "excerpt": "A graph-based execution engine for composing deterministic execution flows for agentic apps, with support for routing, fan-out/fan-in, loops, retry, state management, dynamic nodes, human-in-the-loop, and nested workflows.",
    "fetchedAt": "2026-09-16T02:13:34.339Z"
  },
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    "id": "google-adk-gh-9",
    "tier": "github",
    "url": "https://github.com/google/adk-python",
    "excerpt": "Structured agent-to-agent delegation with multi-turn task mode, single-turn controlled output, mixed delegation patterns, human-in-the-loop, and task agents as workflow nodes.",
    "fetchedAt": "2026-09-16T02:13:34.339Z"
  },
  {
    "id": "google-adk-gh-10",
    "tier": "github",
    "url": "https://github.com/google/adk-python",
    "excerpt": "Agent Config: Build agents without code. Check out the Agent Config feature.",
    "fetchedAt": "2026-09-16T02:13:34.339Z"
  },
  {
    "id": "google-adk-gh-11",
    "tier": "github",
    "url": "https://github.com/google/adk-python",
    "excerpt": "A tool confirmation flow (HITL) that can guard tool execution with explicit confirmation and custom input.",
    "fetchedAt": "2026-09-16T02:13:34.339Z"
  },
  {
    "id": "google-adk-docs-22",
    "tier": "claimed-docs",
    "url": "https://adk.dev",
    "excerpt": "agent = Agent(\n    name=\"researcher\",\n    model=\"gemini-flash-latest\",\n    instruction=\"You help users research topics thoroughly.\",\n    tools=[google_search],\n)",
    "fetchedAt": "2026-09-16T02:16:44.331Z"
  },
  {
    "id": "google-adk-docs-23",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/deploy/",
    "excerpt": "Once you've built and tested your agent using ADK, the next step is to deploy it so it can be accessed, queried, and used in production",
    "fetchedAt": "2026-09-16T02:16:44.331Z"
  },
  {
    "id": "google-adk-docs-24",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/deploy/",
    "excerpt": "You can manually package your Agent into a container image and then run it in any environment that supports container images.",
    "fetchedAt": "2026-09-16T02:16:44.331Z"
  },
  {
    "id": "google-adk-docs-25",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/evaluate/",
    "excerpt": "Expected Intermediate Tool Use Trajectory: The tool calls we expect the agent to make in order to respond correctly to the user query.",
    "fetchedAt": "2026-09-16T02:16:44.331Z"
  },
  {
    "id": "google-adk-gh-12",
    "tier": "github",
    "url": "https://github.com/google/adk-python",
    "excerpt": "adk run path/to/my_agent\n\n# Web UI (supports multi-agent directories or pointing directly to a single agent folder)\nadk web path/to/agents_dir",
    "fetchedAt": "2026-09-16T02:16:44.331Z"
  },
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    "id": "google-adk-gh-13",
    "tier": "github",
    "url": "https://github.com/google/adk-python",
    "excerpt": "adk eval \\\n    samples_for_testing/hello_world \\\n    samples_for_testing/hello_world/hello_world_eval_set_001.evalset.json",
    "fetchedAt": "2026-09-16T02:16:44.331Z"
  },
  {
    "id": "google-adk-gh-14",
    "tier": "github",
    "url": "https://github.com/google/adk-python",
    "excerpt": "adk deploy docker --with_ui <agent-folder>",
    "fetchedAt": "2026-09-16T02:16:44.331Z"
  },
  {
    "id": "google-adk-gh-15",
    "tier": "github",
    "url": "https://github.com/google/adk-python",
    "excerpt": "Build agents without code. Check out the Agent Config feature.",
    "fetchedAt": "2026-09-16T02:16:44.331Z"
  },
  {
    "id": "google-adk-docs-26",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/agents/",
    "excerpt": "Plugins: Integrate complex, pre-packaged behaviors and third-party services directly into your agent's workflow.",
    "fetchedAt": "2026-09-16T02:16:44.331Z"
  },
  {
    "id": "google-adk-docs-27",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/agents/",
    "excerpt": "Use prebuilt or custom Agent Skills to extend agent capabilities in a way that works efficiently inside AI context window limits.",
    "fetchedAt": "2026-09-16T02:16:44.331Z"
  },
  {
    "id": "google-adk-docs-28",
    "tier": "claimed-docs",
    "url": "https://google.github.io/adk-docs/agents/",
    "excerpt": "Callbacks: Hook into specific events during an agent's execution lifecycle to add logging, monitoring, or custom side-effects without altering core agent logic.",
    "fetchedAt": "2026-09-16T02:16:44.331Z"
  },
  {
    "id": "google-adk-probe-1",
    "tier": "probe",
    "url": "https://google.github.io/llms.txt",
    "excerpt": "PROBE llms.txt: HTTP 404 at https://google.github.io/llms.txt",
    "fetchedAt": "2026-09-16T02:16:45.930Z"
  },
  {
    "id": "google-adk-probe-2",
    "tier": "probe",
    "url": "https://google.github.io/adk-docs/get-started/.md",
    "excerpt": "PROBE docs-md: HTTP 404 at https://google.github.io/adk-docs/get-started/.md",
    "fetchedAt": "2026-09-16T02:16:45.930Z"
  },
  {
    "id": "google-adk-probe-3",
    "tier": "probe",
    "url": "https://google.github.io/openapi.json",
    "excerpt": "PROBE openapi: all candidate paths 404 (https://google.github.io/openapi.json, https://google.github.io/swagger.json, https://google.github.io/api/openapi.json, https://google.github.io/.well-known/openapi.json)",
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]