Adapter authoring

Adapters connect structured capability sources to SchemaRouter without changing the core planner, registry, policy, or executor.

SourceAdapter contract

A source adapter has a stable kind, a discovery priority, and one async load method:

from schemarouter import (
    AdapterContext,
    AdapterLoadResult,
    SourceAdapter,
)


class MyAdapter:
    kind = "my_protocol"
    priority = 50

    async def load(
        self,
        context: AdapterContext,
    ) -> AdapterLoadResult | None:
        ...

Return None when the source is not recognized during auto discovery. Return AdapterLoadResult(tool=..., invoker=...) when the source is supported.

Registering adapters

router = SchemaRouter()
router.register_adapter(MyAdapter())

tool = await router.add_url(
    "https://example.com/capability",
    kind="my_protocol",
)

Applications can also construct an AdapterRegistry and inject it into SchemaRouter.

Publishing a third-party adapter

Installed packages can expose adapters through the schemarouter.adapters entry-point group:

[project.entry-points."schemarouter.adapters"]
my_protocol = "my_package.adapter:MyAdapter"

SchemaRouter never auto-imports discovered plugins. Applications must explicitly allowlist plugin entry-point names:

router.load_adapter_plugins(allowlist={"my_protocol"})

Use discover_adapter_plugins() to inspect metadata without importing plugin code. Unknown allowlisted names fail before any plugin is loaded. See Third-party adapter plugins for the complete trust model.

Adapter responsibilities

A schema adapter should return:

• a ToolSpec;
• one or more EndpointSpec objects;
• declared ParameterSpec objects;
• declared FieldSpec objects when fields are projectable;
• input/output JSON Schema where the source provides it;
• descriptive metadata marked as untrusted when it originates remotely;
• tool.remote=True for capabilities whose invoker crosses a remote trust boundary;
• ToolSpec.execution_metadata / EndpointSpec.execution_metadata for JSON-safe values that alter transport/runtime behavior and therefore must participate in fingerprints.

A normal transport adapter can provide an invoker compatible with:

invoker(endpoint_name: str, arguments: dict[str, Any]) -> Any | Awaitable[Any]

Protocols whose transport needs the planner-selected fields may instead implement:

invoke_call(call: ToolCall) -> Any | Awaitable[Any]

The OPTIMADE adapter uses this call-aware path to translate ToolCall.fields into response_fields. Future GraphQL/OData adapters can use the same mechanism for selection sets or $select without putting protocol logic into the core executor.

The invoker is bound through RegistryExecutor.bind(), so tool fingerprint drift remains enforceable.

Trust boundary

Adapters must not:

• turn remote annotations into local mutation/destructive permission;
• expose API keys, cookies, bearer tokens, or other runtime secrets as model-selectable parameters;
• silently follow an endpoint to an unapproved origin;
• coerce invalid model values into schema-valid values behind the executor;
• skip SchemaRouter input/output validation;
• call a remote service directly from planning.

Remote adapters must set tool.remote = True (or construct ToolSpec(remote=True, ...)) so unclassified side effects remain policy-gated. Ordinary metadata is descriptive only and must not be read by an invoker to decide execution origin, transport target, request encoding, or other runtime semantics.

If an invoker needs adapter-specific runtime values, put them in fingerprinted execution_metadata. For example:

tool = ToolSpec(
    name="graphql",
    remote=True,
    execution_metadata={
        "adapter": "graphql",
        "approved_base_url": approved_base_url,
    },
    endpoints=[
        EndpointSpec(
            name="query",
            execution_metadata={"selection_mode": "typed"},
            # ...
        )
    ],
)

Do not place credentials in either metadata bag. Secrets remain only in the trusted invoker object. A discovery/schema URL is provenance, not automatically runtime identity; keep it descriptive unless the invoker actually calls that URL. If a URL is part of execution_metadata, require a stable, credential-free form and keep query/fragment authentication in trusted transport configuration.

Schema fidelity

Preserve the richest source schema available. Flattened fields may be useful for planning and projection, but the full input/output schema should remain available for runtime validation.

Unsupported constructs should be preserved as metadata or rejected explicitly rather than guessed.

Custom registries

Applications can provide any structural implementation of ToolRegistry:

from schemarouter import SchemaRouter, ToolRegistry

registry: ToolRegistry = MyPersistentRegistry(...)
router = SchemaRouter(registry=registry)

The registry must provide a monotonic version and current tool/endpoint lookup semantics. Read methods must return detached snapshots or immutable equivalents; callers must not be able to mutate stored schemas without a versioned write. Persistent implementations are responsible for concurrency control and atomic replacement.

Conformance expectations

New adapters should test:

• explicit-kind and auto-discovery behavior;
• registration collisions and namespaces;
• schema fingerprint changes;
• required and undeclared parameters;
• invalid input values;
• invalid raw output values;
• stale invoker bindings;
• stale plans after tool-level origin/transport changes;
• ordinary metadata changes not altering execution semantics;
• credential separation;
• mutation/destructive policy;
• selected-field propagation when the protocol supports server-side projection;
• transport-specific origin/redirect behavior where relevant.

Canonical result paths

When a provider's response key differs from the local semantic field name, keep the local field identity stable and separate the provider source path from the downstream result path:

FieldSpec(
    name="elastic_modulus",
    semantic_id="elastic_modulus",
    path=["_provider_specific_elasticity"],
    result_path=["elastic_modulus"],
)

path describes where SchemaRouter reads the value from the validated provider response. result_path describes where the projected value is written in ToolResult.data. If result_path is omitted, existing behavior is preserved and the source projection path is also used as the output shape.

This lets multiple provider/access contracts expose different wire schemas while keeping the downstream context provider-neutral.

Scientific datatype and unit contracts

Adapters that expose scientific quantities should preserve both the raw value schema and the exact provider source unit whenever the source contract makes them known.

FieldSpec(
    name="elastic_modulus",
    semantic_id="elastic_modulus",
    json_schema={"type": "number"},
    unit="GPa",
    unit_normalization=UnitNormalizationSpec(
        dimension="pressure",
        canonical_unit="Pa",
        scale=1e9,
    ),
)

FieldSpec.unit is the provider/source unit. unit_normalization is optional and must only be populated when trusted local code has an exact affine conversion contract:

canonical_value = source_value * scale + offset

SchemaRouter never infers a conversion factor from a unit label, SI prefix, spelling, or model output. Unit symbols remain case- and punctuation-sensitive. A remote label such as nm, GPa, or degC is descriptive until a trusted adapter/application declares the conversion.

The built-in OpenAPI and MCP adapters preserve recognized schema annotations x-ucum-unit, x-unit, and unit as the source-unit label. They do not create a UnitNormalizationSpec from those strings. OPTIMADE continues to preserve provider-declared units through its schema adapter.

Unit normalization requires a numeric scalar or recursively numeric-array schema, supplied either by FieldSpec.json_schema or by the endpoint raw output_schema. If both field-level and raw endpoint schemas describe the value, their datatype shapes must be compatible. Field-level schemas are enforced at execution time, so a loose provider response schema cannot bypass a stronger local field contract.

For automatic cross-provider fallback, unit-bearing fields require an explicit datatype contract on both routes. Unknown datatype + known unit is insufficient evidence for automatic substitution. Fallback requires semantic compatibility plus compatible result datatype and either:

• the same exact source unit; or
• explicit matching physical dimension and canonical_unit normalization contracts.

Units are optional. Text/document/search fields normally use unit=None; no unit metadata is required for strings such as abstracts, snippets, titles, or prose.

When to omit units

Do not attach a unit merely because a field comes from a scientific source. The unit belongs to the value contract, not to the provider category.

Typical unitless fields include:

• paper titles, abstracts, and full text;
• web-search snippets and URLs;
• material names and identifiers;
• categorical labels, symmetry symbols, and free-form notes;
• provenance/license/source strings.

For example:

FieldSpec(
    name="abstract",
    semantic_id="document_text",
    json_schema={"type": "string"},
    unit=None,  # optional; this is also the default
)

A unit should be declared only when the field represents a physical/numeric quantity and the source contract actually defines that unit. If the unit is unknown, leave it unset rather than guessing.

Dynamic per-record units

The current field contract assumes one declared source unit for a FieldSpec. If a provider can return different unit labels for the same field on different records, do not let SchemaRouter infer conversion behavior from those runtime strings.

Prefer one of these approaches:

• normalize the provider response inside a trusted adapter into one stable source/canonical unit before it reaches SchemaRouter; or
• expose separate locally declared field/access contracts whose unit semantics are stable.

For example, a payload shaped like:

{"value": 130, "unit": "GPa"}

must not be converted merely because the runtime string says GPa. The conversion relationship remains trusted local configuration. Until an explicit dynamic-unit contract exists, row-dependent unit interpretation should remain outside the generic SchemaRouter execution core.

Dimensionless numeric quantities

Numeric scientific data can also be unitless. Do not invent a unit for dimensionless quantities such as a Poisson ratio, probability, normalized score, or other dimensionless coefficient.

FieldSpec(
    name="poisson_ratio",
    semantic_id="poisson_ratio",
    json_schema={"type": "number"},
    unit=None,
)

This remains a typed numeric contract even though the unit is absent. Cross-provider fallback may match another compatible unitless numeric field, but it will not silently substitute a unit-bearing quantity for a unitless one (or vice versa).

Trusted parameter aliases

Different provider/access contracts can accept the same logical input under different local parameter names. Use ParameterSpec.aliases only for trusted key equivalence:

ParameterSpec(
    name="chemical_formula",
    aliases=["formula"],
    required=True,
)

A request argument {"formula": "Si"} may then compile to {"chemical_formula": "Si"} for that endpoint.

Alias routing is deliberately narrow:

• exact parameter names always win;
• aliases only rename keys and copy values unchanged;
• if one supplied alias can target multiple parameters, SchemaRouter does not guess;
• if multiple supplied aliases compete for one parameter, SchemaRouter does not guess;
• fallback candidates compile arguments independently against their own parameter contracts.

aliases are not a value transformation language. For example, this is valid:

formula="Si" -> chemical_formula="Si"

but SchemaRouter does not generically synthesize:

formula="Si" -> filter='chemical_formula_reduced="Si"'

Protocol expressions, coercions, and provider-specific query-language construction belong in trusted adapter/application code. wire_name remains the serialization boundary for a declared parameter and is distinct from semantic aliases.

Adapters must not infer trusted aliases from arbitrary remote descriptions or model output. Remote schemas may describe names, but local code decides whether two argument keys are semantically equivalent.

Scientific qualifiers are exact local contracts

When a provider field has a fixed contextual meaning that affects scientific comparability, adapters may preserve that context with FieldSpec.qualifiers.

FieldSpec(
    name="youngs_modulus",
    semantic_id="elastic_modulus",
    json_schema={"type": "number"},
    unit="GPa",
    qualifiers={
        "temperature": "300 K",
        "orientation": "[100]",
    },
)

Only declare qualifiers that are fixed and trusted for the field contract. Do not copy arbitrary per-record metadata into this map. If a condition varies per record, keep it as an ordinary returned field or normalize the provider data in trusted application/adapter code first.

Qualifier keys and values must be non-empty and have no surrounding whitespace. Their values are exact opaque tags; SchemaRouter does not perform unit conversion, synonym expansion, or natural language inference inside qualifier strings.

This makes qualifiers suitable for conservative fallback safety without turning SchemaRouter into a scientific ontology or query-language engine.