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
1019 B
TypeScript
28 lines
1019 B
TypeScript
import { BaseAgent, AgentContext, AgentResult } from "./base.js";
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export class CodeReviewerAgent extends BaseAgent {
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readonly name = "code-reviewer";
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readonly description = "Multi-persona code review. Auto-applies P0 fixes. Flags P1+ for post-hoc review.";
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readonly workflow = "review";
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async execute(context: AgentContext): Promise<AgentResult> {
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const start = Date.now();
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this.log("Running code review...");
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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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`Perform multi-persona code review 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: "Code review 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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} |