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* docs: revise claude-code ingest backend spec * docs: keep claude-code spec focused on ingest * docs: expand claude-code spec to full llm parity * Refine claude-code backend spec after adversarial review iteration 1 * Refine claude-code backend spec after adversarial review iteration 2 * Refine claude-code backend spec after adversarial review iteration 3 * feat: recognize claude-code llm backend * feat: add ktx llm runtime port * feat: add claude-code llm runtime * feat: route non-agent llm calls through runtime * feat: run ingest agents through llm runtime * feat: support claude-code setup and status * test: verify claude-code backend runtime * docs: add claude-code backend v1 runtime plan * fix: close claude-code runtime isolation checks * fix: warn on claude-code prompt caching during setup * chore: verify claude-code v1 closure * docs: add claude-code backend v1 isolation closure plan * fix: update claude-code ingest setup guidance * docs: add claude-code backend v1 ingest guidance closure plan * docs: align claude-code isolation spec with sdk metadata * test: cover claude-code host discovery metadata * fix: tolerate claude-code host discovery metadata * docs: clarify claude-code host discovery metadata * docs: add claude-code auth-probe isolation fix plan * chore: prepare kaelio ktx rc1 release * chore: add semantic release workflow * fix: unblock ci checks * chore(release): 0.1.0-rc.1 * feat: add Claude Code model selection to setup * fix: keep git maintenance attached in local repos
31 lines
1 KiB
TypeScript
31 lines
1 KiB
TypeScript
import type { KtxLlmProvider } from '@ktx/llm';
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import type { KtxLogger } from '../core/index.js';
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import { AiSdkKtxLlmRuntime, type AgentTelemetryPort } from '../llm/ai-sdk-runtime.js';
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import type { KtxLlmDebugRequestRecorder } from '../llm/debug-request-recorder.js';
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import type { AgentRunnerPort, RunLoopParams, RunLoopResult } from '../llm/runtime-port.js';
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export type {
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RunLoopParams,
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RunLoopResult,
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RunLoopStepInfo,
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RunLoopStopReason,
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} from '../llm/runtime-port.js';
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export type { AgentTelemetryPort } from '../llm/ai-sdk-runtime.js';
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export interface AgentRunnerServiceDeps {
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llmProvider: KtxLlmProvider;
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telemetry?: AgentTelemetryPort;
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debugRequestRecorder?: KtxLlmDebugRequestRecorder;
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logger?: KtxLogger;
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}
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export class AgentRunnerService implements AgentRunnerPort {
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private readonly runtime: AiSdkKtxLlmRuntime;
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constructor(deps: AgentRunnerServiceDeps) {
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this.runtime = new AiSdkKtxLlmRuntime(deps);
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}
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runLoop(params: RunLoopParams): Promise<RunLoopResult> {
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return this.runtime.runAgentLoop(params);
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}
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}
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