CI
940b85bfae
Add IntelligenceBackend abstraction with two categories: - LLMBackend (OllamaLocal, OllamaCloud): CI runs tool loop, provides tools, constructs prompts - AgentBackend (Opencode): agent runs own tool loop, CI serializes request Refactor all 18 agents from hardcoded stubs to persona loaders that delegate to the active backend or fail honestly when no backend is available. Refactor OrchestratorAgent.executeStage() from monolithic switch to agent delegation via STAGE_AGENT_MAP for intelligent stages (research, plan, execute, verify), with mechanical stages (specify, clarify, complete) staying inline. Wire CLI commands with --backend flag and auto-detection (opencode → ollama-local → ollama-cloud). Harden rollback/ship with real git operations. No command returns fake success.
28 lines
999 B
TypeScript
28 lines
999 B
TypeScript
import { BaseAgent, AgentContext, AgentResult } from "./base.js";
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export class ChallengerAgent extends BaseAgent {
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readonly name = "challenger";
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readonly description = "Stress-tests plans with binding verdicts. Only escalates when confidence < 0.60.";
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readonly workflow = "plan";
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async execute(context: AgentContext): Promise<AgentResult> {
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const start = Date.now();
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this.log("Challenging plan...");
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if (context.backend) {
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const result = await this.executeViaBackend(
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context,
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`Stress-test the plan for phase ${context.phase}. Specification: ${context.specification}`
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);
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return { ...result, duration_ms: Date.now() - start };
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}
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return {
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success: false,
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output: "Plan challenge requires an intelligence backend. Configure one with: ci init --backend",
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artifacts_created: [],
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decisions: 0,
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escalations: 0,
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duration_ms: Date.now() - start,
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error: "No intelligence backend available",
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};
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}
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} |