@phren/cli/dist/cli/config-llm.js

Knowledge layer for AI agents - CLI, MCP server, and data layer

// ── LLM config ───────────────────────────────────────────────────────────────
const EXPENSIVE_MODEL_RE = /opus|sonnet|gpt-4(?!o-mini)/i;
const DEFAULT_LLM_MODEL = "gpt-4o-mini / claude-haiku-4-5-20251001";
function printSemanticCostNotice(model) {
    const effectiveModel = model || process.env.PHREN_LLM_MODEL || DEFAULT_LLM_MODEL;
    console.log(`  Note: Each semantic check is ~80 input + ~5 output tokens (one call per 'maybe' pair, cached 24h).`);
    console.log(`  Current model: ${effectiveModel}`);
    if (model && EXPENSIVE_MODEL_RE.test(model)) {
        console.log(`  Warning: This model is 20x more expensive than Haiku for yes/no checks.`);
        console.log(`  Consider: PHREN_LLM_MODEL=claude-haiku-4-5-20251001`);
    }
}
function llmConfigSnapshot() {
    return {
        model: process.env.PHREN_LLM_MODEL || null,
        endpoint: process.env.PHREN_LLM_ENDPOINT || null,
        keySet: Boolean(process.env.PHREN_LLM_KEY || process.env.ANTHROPIC_API_KEY || process.env.OPENAI_API_KEY),
        note: `Set via environment variables. Each semantic check: ~80 input + ~5 output tokens. Default model: ${DEFAULT_LLM_MODEL}.`,
    };
}
export function handleConfigLlm(args) {
    const action = args[0];
    if (!action || action === "get") {
        const snapshot = llmConfigSnapshot();
        console.log(JSON.stringify(snapshot, null, 2));
        const model = process.env.PHREN_LLM_MODEL;
        if (model && EXPENSIVE_MODEL_RE.test(model)) {
            process.stderr.write(`\nWarning: PHREN_LLM_MODEL=${model} is expensive for yes/no semantic checks.\n`);
            process.stderr.write(`Consider: PHREN_LLM_MODEL=claude-haiku-4-5-20251001\n`);
        }
        return;
    }
    if (action === "set") {
        const key = args[1];
        const value = args[2];
        if (!key || !value) {
            console.error("Usage: phren config llm set model <name>");
            console.error("       phren config llm set endpoint <url>");
            console.error("       phren config llm set key <api-key>");
            process.exit(1);
        }
        const envMap = {
            model: "PHREN_LLM_MODEL",
            endpoint: "PHREN_LLM_ENDPOINT",
            key: "PHREN_LLM_KEY",
        };
        const envVar = envMap[key];
        if (!envVar) {
            console.error(`Unknown setting "${key}". Valid: model, endpoint, key`);
            process.exit(1);
        }
        console.log(`Set ${envVar}=${value} in your shell or ~/.phren/.env`);
        if (key === "model") {
            printSemanticCostNotice(value);
        }
        return;
    }
    console.error("Usage: phren config llm [get|set model <name>|set endpoint <url>|set key <api-key>]");
    process.exit(1);
}