feat: implement runCommand wrapper and refactor command executions across modules
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@@ -3,10 +3,7 @@
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*
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* Uses an LLM to understand model capabilities and assign optimal models to DevClaw roles.
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*/
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import { execSync } from "node:child_process";
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import { writeFileSync, unlinkSync } from "node:fs";
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import { join } from "node:path";
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import { tmpdir } from "node:os";
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import { runCommand } from "../run-command.js";
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export type ModelAssignment = {
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dev: {
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@@ -76,27 +73,18 @@ Return ONLY a JSON object in this exact format (no markdown, no explanation):
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}
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}`;
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// Write prompt to temp file for safe passing to shell
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const tmpFile = join(tmpdir(), `devclaw-model-select-${Date.now()}.txt`);
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writeFileSync(tmpFile, prompt, "utf-8");
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try {
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// Call openclaw agent using current session context if available
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const sessionFlag = sessionKey
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? `--session-id "${sessionKey}"`
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: `--session-id devclaw-model-selection`;
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const sessionId = sessionKey ?? "devclaw-model-selection";
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const result = execSync(
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`openclaw agent --local ${sessionFlag} --message "$(cat ${tmpFile})" --json`,
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{
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encoding: "utf-8",
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timeout: 30000,
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stdio: ["pipe", "pipe", "ignore"],
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},
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).trim();
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const result = await runCommand(
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["openclaw", "agent", "--local", "--session-id", sessionId, "--message", prompt, "--json"],
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{ timeoutMs: 30_000 },
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);
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const output = result.stdout.trim();
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// Parse the response from openclaw agent --json
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const lines = result.split("\n");
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const lines = output.split("\n");
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const jsonStartIndex = lines.findIndex((line) => line.trim().startsWith("{"));
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if (jsonStartIndex === -1) {
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@@ -146,12 +134,5 @@ Return ONLY a JSON object in this exact format (no markdown, no explanation):
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} catch (err) {
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console.error("LLM model selection failed:", (err as Error).message);
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return null;
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} finally {
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// Clean up temp file
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try {
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unlinkSync(tmpFile);
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} catch {
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// Ignore cleanup errors
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}
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}
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}
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