chatomon.connectors.adk ¶

Build an atom into a native Google ADK application.

Install with pip install 'chatomon[adk]'.

Classes:

Name	Description
`ADKConnector`	Builds an atom into a native `google.adk.apps.App`.

ADKConnector ¶

ADKConnector(
    model: str | BaseLlm,
    *,
    resolve_model: (
        Callable[[str], BaseLlm | str] | None
    ) = None,
    app_kwargs: Mapping[str, Any] | None = None,
    **agent_kwargs: Any
)

Bases: Connector['App']

Builds an atom into a native google.adk.apps.App.

The app's root agent is the nucleus, an LlmAgent, and its first plugin is chatomon's; your own plugins come after it. Run the app with ADK's own Runner(app=app, ...), adk web or adk run: the agent refuses to run outside it. The id of the ADK session is the conversation id.

When the atom has output orbitals the nucleus is called without streaming, so a caller that asks for streaming receives each reply whole, once it is checked. Live runs are refused.

Parameters:

Name	Type	Description	Default
`model`	`str \| BaseLlm`	The nucleus model: an ADK `BaseLlm` or a name ADK's registry resolves.	required
`resolve_model`	`Callable[[str], BaseLlm \| str] \| None`	Maps the model id of a JudgeOrbital to an ADK model or to a model name; by default the id is a name for the registry.	`None`
`app_kwargs`	`Mapping[str, Any] \| None`	Passed to `google.adk.apps.App` (`plugins`, `context_cache_config`, `resumability_config`, ...).	`None`
`**agent_kwargs`	`Any`	Passed to `google.adk.agents.LlmAgent` (`tools`, `generate_content_config`, callbacks, ...).	`{}`

Raises:

Type	Description
`ChatomonConfigError`	If an argument is set by chatomon from the atom (`name`, `instruction`; `name` and `root_agent` of the app), cannot be checked by the orbitals (`sub_agents`, a `mode` other than `"chat"`, `output_schema`, `static_instruction`, `global_instruction`), or is an events compaction without a summarizer.

Examples:

import asyncio

from google.adk.runners import InMemoryRunner

from chatomon import Atom
from chatomon.connectors.adk import ADKConnector


async def main() -> None:
    app = Atom(
        name="speedypack",
        instructions="You are the customer assistant of SpeedyPack.",
        connector=ADKConnector("gemini-3.5-flash"),
    ).build()
    runner = InMemoryRunner(app=app)
    events = await runner.run_debug("Hello", quiet=True)
    print(events[-1].content.parts[0].text)


asyncio.run(main())

Methods:

Name	Description
`build`	Build the native app with chatomon's plugin and the nucleus as its root agent.
`generate_structured`	Make one structured call straight to an ADK model, with no agent or session.

Source code in src/chatomon/connectors/adk.py

def __init__(
    self,
    model: str | BaseLlm,
    *,
    resolve_model: Callable[[str], BaseLlm | str] | None = None,
    app_kwargs: Mapping[str, Any] | None = None,
    **agent_kwargs: Any,
) -> None:
    app_kwargs = dict(app_kwargs or {})
    taken = sorted(_FROM_THE_ATOM & agent_kwargs.keys())
    taken += [f"app_kwargs[{key!r}]" for key in sorted(_APP_FROM_THE_ATOM & app_kwargs.keys())]
    if taken:
        raise ChatomonConfigError(
            f"{', '.join(taken)} is set by chatomon from the atom; "
            "remove it from ADKConnector(...)"
        )
    for key, reason in _REFUSED.items():
        if agent_kwargs.get(key) and (key, agent_kwargs[key]) != ("mode", "chat"):
            raise ChatomonConfigError(f"ADKConnector does not take {key}: {reason}")
    compaction = app_kwargs.get("events_compaction_config")
    if compaction is not None and getattr(compaction, "summarizer", None) is None:
        raise ChatomonConfigError(_NO_SUMMARIZER)
    self.model = model
    self.resolve_model = resolve_model
    self.app_kwargs = app_kwargs
    self.agent_kwargs = agent_kwargs

build ¶

build(atom: Atom[App], engine: Engine) -> App

Build the native app with chatomon's plugin and the nucleus as its root agent.

Parameters:

Name	Type	Description	Default
`atom`	`Atom[App]`	The validated atom.	required
`engine`	`Engine`	The engine that runs the atom's orbitals.	required

Returns:

Type	Description
`App`	A `google.adk.apps.App` named like the atom.

Raises:

Type	Description
`ChatomonConfigError`	If the atom's name is not a valid ADK agent name, or ADK's registry does not know the model's name.

Source code in src/chatomon/connectors/adk.py

def build(self, atom: Atom[App], engine: Engine) -> App:
    """Build the native app with chatomon's plugin and the nucleus as its root agent.

    Args:
        atom: The validated atom.
        engine: The engine that runs the atom's orbitals.

    Returns:
        A `google.adk.apps.App` named like the atom.

    Raises:
        ChatomonConfigError: If the atom's name is not a valid ADK agent
            name, or ADK's registry does not know the model's name.
    """
    if not atom.name.isidentifier() or atom.name == "user":
        raise ChatomonConfigError(_BAD_NAME.format(name=atom.name))
    inner = _resolve(self.model)
    nucleus = _Nucleus(model=inner.model, inner=inner, engine=engine)
    prompt = atom.system_prompt
    app_kwargs = dict(self.app_kwargs)
    plugins = [
        _ChatomonPlugin(engine, atom.blocked_placeholder, nucleus),
        *(app_kwargs.pop("plugins", None) or ()),
    ]
    agent = LlmAgent(
        name=atom.name,
        model=nucleus,
        # A function, so that ADK does not read braces in the text as session variables.
        instruction=lambda _context: prompt,
        **self.agent_kwargs,
    )
    return App(name=atom.name, root_agent=agent, plugins=plugins, **app_kwargs)

generate_structured `async` ¶

generate_structured(
    model: str,
    *,
    system: str,
    prompt: str,
    schema: type[ModelT]
) -> ModelT

Make one structured call straight to an ADK model, with no agent or session.

Parameters:

Name	Type	Description	Default
`model`	`str`	Model id; passed through `resolve_model` when set.	required
`system`	`str`	System instruction.	required
`prompt`	`str`	User prompt.	required
`schema`	`type[ModelT]`	Output type.	required

Returns:

Type	Description
`ModelT`	The validated output.

Raises:

Type	Description
`ChatomonConfigError`	If the model id resolves to no ADK model.
`ValueError`	If the model returned an error or no text, or text that does not match `schema`.

Source code in src/chatomon/connectors/adk.py

async def generate_structured(
    self, model: str, *, system: str, prompt: str, schema: type[ModelT]
) -> ModelT:
    """Make one structured call straight to an ADK model, with no agent or session.

    Args:
        model: Model id; passed through `resolve_model` when set.
        system: System instruction.
        prompt: User prompt.
        schema: Output type.

    Returns:
        The validated output.

    Raises:
        ChatomonConfigError: If the model id resolves to no ADK model.
        ValueError: If the model returned an error or no text, or text that
            does not match `schema`.
    """  # noqa: DOC502 - the first is raised by _resolve(), the second also by pydantic
    resolved = self.resolve_model(model) if self.resolve_model is not None else model
    llm = _resolve(resolved)
    request = LlmRequest(
        model=llm.model,
        contents=[types.Content(role="user", parts=[types.Part(text=prompt)])],
        config=types.GenerateContentConfig(system_instruction=system),
    )
    request.set_output_schema(schema)
    async with aclosing(llm.generate_content_async(request, stream=False)) as responses:
        answers = [response async for response in responses]
    failed = not answers or answers[-1].error_code is not None
    text = "" if failed else _text(answers[-1].content)
    if not text:
        raise ValueError(_NO_ANSWER)
    return schema.model_validate_json(text)

chatomon.connectors.adk ¶

ADKConnector ¶

build ¶

generate_structured async ¶

generate_structured `async` ¶