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ModelInvocationContext ​

KIT · interface · Type contract

One take consumes one binding invocation attempt, independent of batch size or chat tokens.

Import ​

ts
import type { ModelInvocationContext } from '@jangts/agent-core/kits/inference';
js
/** @typedef {import('@jangts/agent-core/kits/inference').ModelInvocationContext} ModelInvocationContext */

Other public entry points:@jangts/agent-core/types, @jangts/agent-core/kits, @jangts/agent-core/kits/inference.

Definition ​

ts
interface ModelInvocationContext

Extends or implements: ExecutionContext.

Field structure ​

FieldTypeRequiredDescription
attemptBudgetPick<AttemptBudget, "take"> | undefinedOptionalRead-only. Shared attempt budget; a refusal fails the call with BudgetError before invoking.
loggerSubFlowLog | undefinedOptionalRead-only. Explicit optional recorder for this operation; never inferred from diagnostics.
signalAbortSignalRequiredRead-only. Non-optional cancellation signal; never undefined once execution has started.
diagnosticsDiagnosticContext | undefinedOptionalRead-only. Diagnostic scope of the enclosing call, when recording is enabled.

Examples ​

First bind an offline demonstration vector algorithm ​

Beginner · Node.js

The algorithm only demonstrates I/O binding and does not provide real language embedding quality.

ts
import { ModelCalls } from '@jangts/agent-core/kits/inference';
const models = new ModelCalls([
  { id: 'demo-vector', identity: 'length-direction-v1', invoke: (text: string) => [text.length, 1] },
] as const);
const result = await models.invoke({ modelId: 'demo-vector', input: 'Agent Core', timeoutMs: 1000 }, { signal: new AbortController().signal });
console.log(result.value, result.invocation.modelId);
js
import { ModelCalls } from '@jangts/agent-core/kits/inference';
const models = new ModelCalls([
    { id: 'demo-vector', identity: 'length-direction-v1', invoke: (text) => [text.length, 1] },
]);
const result = await models.invoke({ modelId: 'demo-vector', input: 'Agent Core', timeoutMs: 1000 }, { signal: new AbortController().signal });
console.log(result.value, result.invocation.modelId);

Add input and output checks plus cancellation to the same invoke ​

Configuration · Node.js

ts
import { ModelCalls } from '@jangts/agent-core/kits/inference';
const models = new ModelCalls([
  { id: 'demo-vector', identity: 'length-direction-v1',
    assertInput(text: string) { if (!text.trim()) throw new Error('文本为空'); },
    invoke(text: string, context) { context.signal.throwIfAborted(); return [text.length, 1]; },
    assertOutput(vector: number[]) { if (vector.length !== 2 || vector.some(value => !Number.isFinite(value))) throw new Error('向量无效'); },
  },
] as const);
const controller = new AbortController();
const result = await models.invoke({ modelId: 'demo-vector', input: 'Agent Core', timeoutMs: 1000 }, { signal: controller.signal });
console.log(models.identity('demo-vector'), result.value);
js
import { ModelCalls } from '@jangts/agent-core/kits/inference';
const models = new ModelCalls([
    { id: 'demo-vector', identity: 'length-direction-v1',
        assertInput(text) { if (!text.trim())
            throw new Error('文本为空'); },
        invoke(text, context) { context.signal.throwIfAborted(); return [text.length, 1]; },
        assertOutput(vector) { if (vector.length !== 2 || vector.some(value => !Number.isFinite(value)))
            throw new Error('向量无效'); },
    },
]);
const controller = new AbortController();
const result = await models.invoke({ modelId: 'demo-vector', input: 'Agent Core', timeoutMs: 1000 }, { signal: controller.signal });
console.log(models.identity('demo-vector'), result.value);

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