10xGraphv0.9.2Search

    Prebuilt Agents and Tools

    In shortReady-made 10xGraph graph patterns, common tools, and handoff helpers.

    • 2 min read
    • 5 sections
    • Updated
    • v0.9.2
    • Markdown

    10xGraph includes prebuilt building blocks for common agent patterns. Use them when the default shape matches your workflow, and drop down to StateGraph, Agent, and ToolNode when you need custom control.

    Prebuilt agents

    Prebuilt agents live in tenxgraph.prebuilt.agent.

    Agent Use case
    ReactAgent Standard model and tool loop.
    RAGAgent Retrieval-augmented generation with retriever and synthesis steps.
    PlanActReflectAgent Plan, execute, and critique across multiple passes.
    StructuredOutputAgent Constrain the final answer to a schema.
    SupervisorTeamAgent A supervisor routes work to named workers (WorkerConfig).
    SwarmAgent Peer agents hand control to each other (SwarmMemberConfig).
    AudioAgent Realtime audio-to-audio sessions over a live provider socket.

    Reranker base classes ship alongside the RAG agent:

    Class Use case
    BaseReranker Interface for custom reranking of retrieved documents.
    CohereReranker Rerank with the Cohere Rerank API.
    CrossEncoderReranker Rerank with a local cross-encoder model.

    Everything above except AudioAgent is also re-exported from tenxgraph.prebuilt. AudioAgent must be imported from tenxgraph.prebuilt.agent:

    Python
    from tenxgraph.prebuilt.agent import AudioAgent
from tenxgraph.prebuilt import ReactAgent, SupervisorTeamAgent, SwarmAgent

    Prebuilt tools

    Common tools are exported from tenxgraph.prebuilt.tools.

    Tool Use case
    safe_calculator Evaluate simple math expressions safely.
    fetch_url Fetch web content from a URL.
    file_read, file_write, file_search Work with files where enabled.
    google_web_search, vertex_ai_search Search integrations.
    memory_tool, make_user_memory_tool, make_agent_memory_tool Store or retrieve long-term memory.
    create_handoff_tool, is_handoff_tool Transfer control between graph agents.

    Handoff tools

    Handoff tools let the model transfer execution to another graph node by calling a tool with the transfer_to_<agent> convention.

    Python
    from tenxgraph.prebuilt.tools import create_handoff_tool
from tenxgraph.core import ToolNode

tools = ToolNode([
    create_handoff_tool(
        agent_name="RESEARCHER",
        description="Transfer to the research agent.",
    ),
])

    Use handoff tools for agent-to-agent delegation. Use Command(goto=...) when routing should be explicit code rather than an LLM tool choice.

    Rules

    Rule Why it matters
    Prefer prebuilt agents for common patterns They encode the standard 10xGraph graph shape.
    Keep handoff targets aligned with node names The graph jumps to the target node.
    Use tools for capabilities, not routing policy Routing policy often belongs in graph edges or Command.
    Check reference docs for constructor details Prebuilt surfaces evolve as new patterns stabilize.
    Last updated for v0.9.2Edit this page on GitHubReport an issue