eve
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Filesystem-first framework for durable backend AI agents that run anywhere.
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TypeScript
import type { ModelMessage, ToolSet, TypedToolCall } from "ai";
import type { RuntimeActionRequest, RuntimeToolCallActionRequest, RuntimeWorkflowTaskRequest } from "#shared/action-types.js";
import { type JsonObject } from "#shared/json.js";
import type { HarnessEmitFn, HarnessSession, HarnessToolMap, SessionStateMap, StepInput } from "#harness/types.js";
/**
* Serializable event coordinates for one pending coordination batch.
*
* Runtime action results are projected back onto the parent stream using the
* same turn and step identity as the originating `actions.requested` batch.
*/
interface PendingCoordinationEventMetadata {
readonly sequence: number;
readonly stepIndex: number;
readonly turnId: string;
}
/**
* Serializable pending coordination batch stored on `session.state`.
*
* Child ownership does not live here: the agent handle store records every
* dispatched child (from before its start side effect) and is the sole
* authority for continuing, settling, and cancelling children.
*/
export interface PendingCoordinationBatch {
/** Framework task controls deferred to the turn owner. */
readonly runtimeActions: readonly RuntimeToolCallActionRequest[];
/** Authored-tool and subagent workflow tasks pending coordination. */
readonly tasks: readonly RuntimeWorkflowTaskRequest[];
readonly event: PendingCoordinationEventMetadata;
readonly localFanoutSize?: number;
readonly responseMessages: readonly ModelMessage[];
}
/**
* Outcome of resolving a pending coordination batch.
*/
interface ResolvePendingCoordinationResult {
readonly messages: ModelMessage[];
readonly outcome: "continue" | "resolved" | "unresolved";
readonly session: HarnessSession;
}
/** Returns the pending coordination batch stored on the session, if any. */
export declare function getPendingCoordinationBatch(state: SessionStateMap | undefined): PendingCoordinationBatch | undefined;
/**
* Returns true when the session is parked on pending task/control coordination.
*/
export declare function hasPendingCoordinationBatch(state: SessionStateMap | undefined): boolean;
export declare function clearPendingCoordinationBatch(session: HarnessSession): HarnessSession;
/**
* Stores one pending coordination batch on the session.
*/
export declare function setPendingCoordinationBatch(input: {
readonly runtimeActions: readonly RuntimeToolCallActionRequest[];
readonly tasks: readonly RuntimeWorkflowTaskRequest[];
readonly event: PendingCoordinationEventMetadata;
readonly localFanoutSize?: number;
readonly responseMessages: readonly ModelMessage[];
readonly session: HarnessSession;
}): HarnessSession;
/** Rejects a batch before any result or side effect can bind ambiguously by call id. */
export declare function assertUniqueCoordinationCallIds(requests: readonly {
readonly callId: string;
}[]): void;
/**
* Resolves one pending coordination batch back into model history.
*
* When all expected runtime action results are present, this appends the
* stored assistant tool-call messages plus synthesized tool-result messages to
* history, clears the pending batch, and emits `subagent.completed` and
* `action.result` events back onto the parent stream.
*/
export declare function resolvePendingCoordination(input: {
readonly emit?: HarnessEmitFn;
readonly session: HarnessSession;
readonly stepInput?: StepInput;
/** Definitions whose `toModelOutput` projects a workflow tool's result for the model. */
readonly tools?: HarnessToolMap;
}): Promise<ResolvePendingCoordinationResult>;
/**
* Projects one AI SDK tool call into the eve runtime-action contract.
*/
export declare function createRuntimeActionRequestFromToolCall(input: {
readonly toolCall: TypedToolCall<ToolSet>;
readonly tools: HarnessToolMap;
}): RuntimeActionRequest;
/** Projects one deferred harness tool call into task/control coordination. */
export declare function createCoordinationRequestFromToolCall(input: {
readonly toolCall: TypedToolCall<ToolSet>;
readonly tools: HarnessToolMap;
}): {
readonly kind: "runtime-action";
readonly request: RuntimeToolCallActionRequest;
} | {
readonly kind: "task";
readonly request: RuntimeWorkflowTaskRequest;
};
/**
* Coerces an AI SDK tool-call `input` into the runtime-action `JsonObject`
* contract, throwing a `TypeError` (with the original as `cause`) that names
* the offending tool when the payload is not a JSON object.
*
* String inputs are parsed as JSON first: the model protocol carries tool
* arguments as text, and provider-executed tool calls can surface that raw
* string — or an empty string when the model sends no arguments.
*/
export declare function resolveToolCallInputObject(value: unknown, context: {
readonly callId: string;
readonly toolName: string;
}): JsonObject;
export {};