mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-06-20 12:34:21 +00:00
e9dd584792
* feat(api): support global API key from config.yaml (api.global_api_key) Accept a config-defined global API key anywhere a web-UI key is accepted (X-API-Key / Bearer), with no login session and no DB record. Useful for automated deployments and AI agents (HTTP API + MCP). Defaults to empty (disabled); does not require the lbk_ prefix. - templates/config.yaml: add api.global_api_key with security notes - service/apikey.py: verify_api_key checks global key first (constant-time) - docs/API_KEY_AUTH.md: document the global key + security guidance - tests: cover global-key match, prefix-free, fallback-to-db, disabled * feat(mcp): expose LangBot management as an MCP server at /mcp Add an MCP (Model Context Protocol) server so external AI agents can manage a LangBot instance. Reuses the same API-key auth as the HTTP API (including the config.yaml global API key). - pkg/api/mcp/server.py: FastMCP server wrapping the service layer; 21 curated tools across system/bots/pipelines/models/knowledge/mcp-servers/skills - pkg/api/mcp/mount.py: ASGI dispatcher fronting Quart; authenticates /mcp requests with an API key, runs the streamable-HTTP session manager lifespan - controller/main.py: serve the wrapped ASGI app via hypercorn (was run_task) - web: new 'MCP' tab in the API integration dialog showing endpoint, auth, and client config; i18n for 8 locales - tests/manual/mcp_smoke.py: e2e check (401 unauth, list tools, call tools) Tool surface is intentionally curated (not all ~25 route groups) to keep the agent surface small, safe, and maintainable. Extend deliberately. * feat(skills): add in-repo skills/ as the single source of truth Migrate the agent skills + QA/e2e test harness from the (now archived) langbot-app/langbot-skills repo into LangBot/skills/, and add four new skills. Migrated: - langbot-plugin-dev, langbot-testing (e2e), langbot-env-setup, langbot-skills-maintenance, langbot-eba-adapter-dev - the bin/lbs CLI (src/, test/, scripts/, schemas/, qa-agent-docs/) New: - langbot-dev core backend + web development - langbot-deploy Docker/K8s deployment + config.yaml + global API key - langbot-mcp-ops operating the LangBot MCP server (/mcp) - langbot-space-ops operating the Space marketplace MCP server - src/cli.ts repoRoot(): recognize the skills assets root (skills.index.json + bin/lbs) so the CLI works when nested inside the LangBot repo - README.md: unified skill catalog; skills.index.json regenerated Parity with source verified: bin/lbs validate + node test suite match the source repo (only the uncommitted .lbpkg build-artifact fixture differs). * docs(agents): document agent-facing surfaces + API/MCP/skills sync rule * docs(readme): add 'Built for AI Agents' section across all locales Highlight MCP server, in-repo skills (single source of truth), AGENTS.md sync rule, and llms.txt. Cross-link LangBot Space MCP marketplace. * style(mcp): fix ruff format + prettier lint in MCP server and API panel * style(web): prettier format MCP i18n locale entries * docs(skills): note MCP instance control in dev/testing skills All development-guidance skills now point to the LangBot instance MCP server (/mcp) and the Space marketplace MCP server, reusing API keys.
566 lines
20 KiB
JavaScript
566 lines
20 KiB
JavaScript
#!/usr/bin/env node
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import { writeFile } from "node:fs/promises";
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import { env } from "node:process";
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import {
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DEBUG_CHAT_FAILURE_SIGNALS,
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openPipelineDebugChat,
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setDebugChatStreamOutput,
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visibleDebugChatMessages,
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waitForDebugChatTextStable,
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} from "./lib/debug-chat.mjs";
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import {
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createBrowser,
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ensureEvidence,
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evidencePaths,
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exitCode,
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localIsoWithOffset,
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loadEnvFiles,
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pathExists,
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safeScreenshot,
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writeResult,
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} from "./lib/langbot-e2e.mjs";
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await loadEnvFiles();
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const caseId = env.LBS_CASE_ID || "local-agent-steering-debug-chat";
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const paths = evidencePaths(caseId);
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await ensureEvidence(paths);
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const backendUrl = (env.LANGBOT_BACKEND_URL || "").replace(/\/$/, "");
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const pipelineUrl = env.LANGBOT_E2E_PIPELINE_URL || env.LANGBOT_LOCAL_AGENT_PIPELINE_URL || env.LANGBOT_PIPELINE_URL || "";
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const pipelineName = env.LANGBOT_E2E_PIPELINE_NAME || env.LANGBOT_LOCAL_AGENT_PIPELINE_NAME || env.LANGBOT_PIPELINE_NAME || "";
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const expectedRunnerId = env.LANGBOT_E2E_EXPECTED_RUNNER_ID || "plugin:langbot/local-agent/default";
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const expectedText = env.LANGBOT_E2E_EXPECTED_TEXT || "qa_steering_sentinel_6194";
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const responseTimeoutMs = positiveInt(env.LANGBOT_E2E_RESPONSE_TIMEOUT_MS, 240000);
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const followupDelayMs = 1000;
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const followupEnabledTimeoutMs = 1500;
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const firstPrompt = env.LANGBOT_E2E_PROMPT || [
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"You are running the LangBot steering E2E test.",
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"First call the qa_plugin_sleep tool with seconds=8 and text=steering-e2e-anchor.",
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"Do not answer before the tool result is available.",
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"After the tool returns, answer the latest user follow-up.",
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"If no follow-up was injected, reply only STEERING_NO_FOLLOWUP.",
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].join(" ");
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const followupPrompt = [
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"This is a steering follow-up sent while the first tool call is still active.",
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`Return only ${expectedText}.`,
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].join(" ");
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const pipelineConfigDiagnosticPath = `${paths.evidenceDir}/pipeline-config-diagnostic.json`;
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const debugChatResetDiagnosticPath = `${paths.evidenceDir}/debug-chat-reset-diagnostic.json`;
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const toolDiagnosticPath = `${paths.evidenceDir}/tool-diagnostic.json`;
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let browser;
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const result = {
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source: "automation",
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case_id: caseId,
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run_id: paths.runId,
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status: "fail",
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reason: "",
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started_at: new Date().toISOString(),
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started_at_local: localIsoWithOffset(new Date()),
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url: "",
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backend_url: backendUrl,
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pipeline_url: pipelineUrl,
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pipeline_name: pipelineName,
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expected_runner_id: expectedRunnerId,
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first_prompt: firstPrompt,
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followup_prompt: followupPrompt,
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expected_text: expectedText,
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followup_delay_ms: followupDelayMs,
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followup_enabled_timeout_ms: followupEnabledTimeoutMs,
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response_timeout_ms: responseTimeoutMs,
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pipeline_config: null,
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debug_chat_reset: null,
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tool_diagnostic: null,
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steering: null,
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evidence: {
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console_log: paths.consoleLog,
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network_log: paths.networkLog,
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screenshot: paths.screenshot,
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automation_result_json: paths.automationResultJson,
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result_json: paths.resultJson,
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},
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evidence_collected: ["ui", "console", "network", "screenshot"],
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};
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try {
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if (!backendUrl) {
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result.status = "env_issue";
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result.reason = "LANGBOT_BACKEND_URL is required.";
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throw new Error(result.reason);
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}
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browser = await createBrowser(paths);
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const { page } = browser;
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const openResult = await openPipelineDebugChat(page, {
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pipelineUrl,
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pipelineName,
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envHint: "case-specific pipeline env mapped to LANGBOT_E2E_PIPELINE_URL or LANGBOT_E2E_PIPELINE_NAME",
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});
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result.url = page.url();
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if (!openResult.opened) {
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result.status = openResult.status;
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result.reason = openResult.reason;
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} else {
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const pipelineDiagnostic = await inspectPipeline(page, {
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backendUrl,
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pipelineUrl,
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pipelineName,
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expectedRunnerId,
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});
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await writeFile(pipelineConfigDiagnosticPath, `${JSON.stringify(pipelineDiagnostic, null, 2)}\n`, "utf8");
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result.evidence.pipeline_config_diagnostic_json = pipelineConfigDiagnosticPath;
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result.pipeline_config = pipelineDiagnostic;
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if (!result.evidence_collected.includes("api_diagnostic")) result.evidence_collected.push("api_diagnostic");
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const toolDiagnostic = await inspectToolNames(page, { backendUrl });
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await writeFile(toolDiagnosticPath, `${JSON.stringify(toolDiagnostic, null, 2)}\n`, "utf8");
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result.evidence.tool_diagnostic_json = toolDiagnosticPath;
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result.tool_diagnostic = toolDiagnostic;
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if (pipelineDiagnostic.status === "fail" || pipelineDiagnostic.status === "blocked") {
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result.status = pipelineDiagnostic.status;
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result.reason = pipelineDiagnostic.reason || "Pipeline diagnostic failed.";
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} else if (toolDiagnostic.status === "fail" || toolDiagnostic.status === "blocked") {
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result.status = toolDiagnostic.status;
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result.reason = toolDiagnostic.reason || "Tool diagnostic failed.";
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} else if (!toolDiagnostic.tool_names.includes("qa_plugin_sleep")) {
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result.status = "blocked";
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result.reason = "qa_plugin_sleep is not exposed by /api/v1/tools; rebuild/reinstall qa-plugin-smoke before running steering E2E.";
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} else {
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const resetDiagnostic = await resetPipelineDebugChat(page, {
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backendUrl,
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pipelineId: pipelineDiagnostic.pipeline_id,
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sessionType: "person",
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});
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await writeFile(debugChatResetDiagnosticPath, `${JSON.stringify(resetDiagnostic, null, 2)}\n`, "utf8");
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result.evidence.debug_chat_reset_diagnostic_json = debugChatResetDiagnosticPath;
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result.debug_chat_reset = resetDiagnostic;
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if (resetDiagnostic.status === "fail" || resetDiagnostic.status === "blocked") {
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result.status = resetDiagnostic.status;
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result.reason = resetDiagnostic.reason || "Debug Chat reset failed.";
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} else {
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await page.waitForTimeout(1000);
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const reopenResult = await openPipelineDebugChat(page, {
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pipelineUrl,
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pipelineName,
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envHint: "case-specific pipeline env mapped to LANGBOT_E2E_PIPELINE_URL or LANGBOT_E2E_PIPELINE_NAME",
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});
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result.url = page.url();
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if (!reopenResult.opened) {
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result.status = reopenResult.status;
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result.reason = reopenResult.reason;
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} else {
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const streamResult = await setDebugChatStreamOutput(page, true);
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if (streamResult.status === "blocked" || streamResult.status === "fail") {
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result.status = streamResult.status;
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result.reason = streamResult.reason;
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} else {
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result.steering = await runSteeringProbe(page);
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result.status = result.steering.status;
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result.reason = result.steering.reason;
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}
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}
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}
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}
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}
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} catch (error) {
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if (!["env_issue", "blocked", "fail", "pass"].includes(result.status) || !result.reason) {
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result.status = /Playwright is not installed|LANGBOT_FRONTEND_URL/.test(error.message) ? "env_issue" : "fail";
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}
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result.reason = result.reason || error.message;
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} finally {
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if (browser?.page) await safeScreenshot(browser.page, paths.screenshot);
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if (browser) await browser.close().catch(() => {});
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const finishedAt = new Date();
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result.finished_at = finishedAt.toISOString();
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result.finished_at_local = localIsoWithOffset(finishedAt);
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const existingEvidence = {};
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for (const [key, value] of Object.entries(result.evidence)) {
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if (typeof value !== "string") continue;
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const isResultFile = value === paths.automationResultJson || value === paths.resultJson;
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if (isResultFile || await pathExists(value)) existingEvidence[key] = value;
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}
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result.evidence = existingEvidence;
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await writeResult(paths, result);
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console.log(JSON.stringify(result, null, 2));
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}
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process.exit(exitCode(result.status));
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async function runSteeringProbe(page) {
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const beforeMessages = await visibleDebugChatMessages(page);
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const beforeAssistantCount = countRole(beforeMessages, "assistant");
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const beforeUserCount = countRole(beforeMessages, "user");
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const firstStartedAt = Date.now();
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const firstSend = await sendPrompt(page, firstPrompt, { enabledTimeoutMs: 5000 });
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if (!firstSend.sent) {
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return {
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status: "fail",
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reason: firstSend.reason || "Could not send first Debug Chat prompt.",
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first_send: firstSend,
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before_assistant_count: beforeAssistantCount,
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before_user_count: beforeUserCount,
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};
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}
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await page.waitForTimeout(followupDelayMs);
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const preFollowupMessages = await visibleDebugChatMessages(page);
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const preFollowupAssistantCount = countRole(preFollowupMessages, "assistant");
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const followupStartedAt = Date.now();
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const followupSend = await sendPrompt(page, followupPrompt, { enabledTimeoutMs: followupEnabledTimeoutMs });
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const followupSentAt = Date.now();
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if (!followupSend.sent) {
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return {
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status: "fail",
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reason: followupSend.reason || "Could not send steering follow-up while the first run was active.",
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first_send: firstSend,
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followup_send: followupSend,
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first_to_followup_attempt_ms: followupStartedAt - firstStartedAt,
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followup_send_latency_ms: followupSentAt - followupStartedAt,
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before_assistant_count: beforeAssistantCount,
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pre_followup_assistant_count: preFollowupAssistantCount,
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before_user_count: beforeUserCount,
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};
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}
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const waitResult = await waitForLatestAssistantContaining(page, {
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expectedText,
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beforeAssistantCount,
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timeoutMs: responseTimeoutMs,
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});
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await waitForDebugChatTextStable(page);
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const afterMessages = await visibleDebugChatMessages(page);
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const afterAssistantCount = countRole(afterMessages, "assistant");
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const afterUserCount = countRole(afterMessages, "user");
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const latestAssistantText = latestRoleText(afterMessages, "assistant");
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const failureSignal = findFailureSignal(latestAssistantText) || findFailureSignal(messagesText(afterMessages));
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const newAssistantCount = afterAssistantCount - beforeAssistantCount;
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const newUserCount = afterUserCount - beforeUserCount;
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const base = {
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first_send: firstSend,
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followup_send: followupSend,
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first_to_followup_attempt_ms: followupStartedAt - firstStartedAt,
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followup_send_latency_ms: followupSentAt - followupStartedAt,
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before_assistant_count: beforeAssistantCount,
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pre_followup_assistant_count: preFollowupAssistantCount,
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after_assistant_count: afterAssistantCount,
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new_assistant_count: newAssistantCount,
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before_user_count: beforeUserCount,
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after_user_count: afterUserCount,
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new_user_count: newUserCount,
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latest_assistant_text: latestAssistantText,
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assistant_containing_expected_seen: waitResult.seen,
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failure_signal: failureSignal,
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};
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if (failureSignal) {
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return {
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...base,
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status: "fail",
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reason: `Debug Chat displayed a known failure signal: ${failureSignal}`,
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};
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}
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if (!waitResult.seen) {
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return {
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...base,
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status: "fail",
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reason: `No new assistant message contained steering sentinel ${expectedText}.`,
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};
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}
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if (!latestAssistantText.includes(expectedText)) {
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return {
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...base,
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status: "fail",
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reason: `Latest assistant message did not contain steering sentinel ${expectedText}.`,
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};
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}
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if (newUserCount < 2) {
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return {
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...base,
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status: "fail",
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reason: `Expected two new user messages, saw ${newUserCount}.`,
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};
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}
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if (newAssistantCount !== 1) {
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return {
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...base,
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status: "fail",
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reason: `Expected one assistant response for one claimed steering run, saw ${newAssistantCount}. More than one usually means the follow-up became a separate run.`,
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};
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}
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if (latestAssistantText.includes("STEERING_NO_FOLLOWUP")) {
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return {
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...base,
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status: "fail",
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reason: "Runner answered the no-follow-up branch, so steering was not injected.",
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};
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}
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return {
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...base,
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status: "pass",
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reason: `Follow-up sentinel ${expectedText} appeared in the only new assistant response after two user messages.`,
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};
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}
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function debugChatInput(page) {
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return page
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.locator('input[placeholder*="message"], input[placeholder*="消息"], textarea[placeholder*="message"], textarea[placeholder*="消息"]')
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.last();
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}
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async function sendPrompt(page, prompt, { enabledTimeoutMs }) {
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const input = debugChatInput(page);
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const inputVisible = await input.isVisible({ timeout: 5000 }).catch(() => false);
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if (!inputVisible) return { sent: false, reason: "Debug Chat input is not visible." };
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const inputEnabled = await input.isEnabled({ timeout: enabledTimeoutMs }).catch(() => false);
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if (!inputEnabled) return { sent: false, reason: `Debug Chat input was not enabled within ${enabledTimeoutMs}ms.` };
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await input.fill(prompt).catch(async () => {
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await input.click();
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await input.pressSequentially(prompt);
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});
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await input.press("Enter");
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await page.getByText(prompt, { exact: false }).last().waitFor({ state: "visible", timeout: 10000 }).catch(() => {});
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return {
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sent: true,
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submitted_by: "keyboard_enter",
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};
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}
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async function waitForLatestAssistantContaining(page, { expectedText, beforeAssistantCount, timeoutMs }) {
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const deadline = Date.now() + timeoutMs;
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let lastMessages = [];
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let latestAssistantText = "";
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while (Date.now() < deadline) {
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const messages = await visibleDebugChatMessages(page);
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lastMessages = messages;
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latestAssistantText = latestRoleText(messages, "assistant");
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if (countRole(messages, "assistant") > beforeAssistantCount && latestAssistantText.includes(expectedText)) {
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return {
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seen: true,
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latest_assistant_text: latestAssistantText,
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messages,
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};
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}
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const failureSignal = findFailureSignal(latestAssistantText);
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if (failureSignal) {
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return {
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seen: false,
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latest_assistant_text: latestAssistantText,
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messages,
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failure_signal: failureSignal,
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};
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}
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await page.waitForTimeout(500);
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}
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return {
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seen: false,
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latest_assistant_text: latestAssistantText,
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messages: lastMessages,
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};
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}
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async function inspectPipeline(page, { backendUrl, pipelineUrl, pipelineName, expectedRunnerId }) {
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const pipelineIdFromUrl = pipelineIdFromUrlValue(pipelineUrl);
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return await page.evaluate(async ({ backendUrl, pipelineIdFromUrl, pipelineName, expectedRunnerId }) => {
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const token = localStorage.getItem("token");
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if (!token) {
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return {
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status: "blocked",
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authenticated: false,
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reason: "Browser profile has no localStorage token.",
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};
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}
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const getJson = async (path) => {
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const response = await fetch(`${backendUrl}${path}`, {
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headers: {
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Authorization: `Bearer ${token}`,
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"Content-Type": "application/json",
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},
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});
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return {
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status: response.status,
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json: await response.json().catch(() => ({})),
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};
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};
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let pipelineId = pipelineIdFromUrl;
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let matchedBy = pipelineId ? "url" : "";
|
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if (!pipelineId) {
|
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if (!pipelineName) {
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return {
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status: "blocked",
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authenticated: true,
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pipeline_resolved: false,
|
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reason: "Set LANGBOT_LOCAL_AGENT_PIPELINE_URL or LANGBOT_LOCAL_AGENT_PIPELINE_NAME.",
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};
|
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}
|
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const list = await getJson("/api/v1/pipelines");
|
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const pipelines = list.json.data?.pipelines || [];
|
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const match = pipelines.find((pipeline) => pipeline.name === pipelineName);
|
|
if (!match) {
|
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return {
|
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status: "blocked",
|
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authenticated: true,
|
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pipeline_resolved: false,
|
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list_status: list.status,
|
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reason: `Could not find pipeline named ${pipelineName}.`,
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};
|
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}
|
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pipelineId = match.uuid;
|
|
matchedBy = "name";
|
|
}
|
|
|
|
const loaded = await getJson(`/api/v1/pipelines/${encodeURIComponent(pipelineId)}`);
|
|
const pipeline = loaded.json.data?.pipeline;
|
|
if (loaded.status >= 400 || !pipeline) {
|
|
return {
|
|
status: "fail",
|
|
authenticated: true,
|
|
pipeline_resolved: false,
|
|
pipeline_id: pipelineId,
|
|
get_status: loaded.status,
|
|
reason: loaded.json.msg || "Could not load pipeline.",
|
|
};
|
|
}
|
|
const config = pipeline.config || {};
|
|
const runner = config.ai?.runner || {};
|
|
const runnerId = runner.id || runner.runner || "";
|
|
if (!runnerId) {
|
|
return {
|
|
status: "blocked",
|
|
authenticated: true,
|
|
pipeline_resolved: true,
|
|
pipeline_id: pipelineId,
|
|
pipeline_name: pipeline.name,
|
|
matched_by: matchedBy,
|
|
reason: "Pipeline has no ai.runner.id or legacy ai.runner.runner.",
|
|
};
|
|
}
|
|
if (expectedRunnerId && runnerId !== expectedRunnerId) {
|
|
return {
|
|
status: "blocked",
|
|
authenticated: true,
|
|
pipeline_resolved: true,
|
|
pipeline_id: pipelineId,
|
|
pipeline_name: pipeline.name,
|
|
matched_by: matchedBy,
|
|
runner_id: runnerId,
|
|
expected_runner_id: expectedRunnerId,
|
|
reason: `Pipeline runner mismatch: expected ${expectedRunnerId}, got ${runnerId}.`,
|
|
};
|
|
}
|
|
return {
|
|
status: "ready",
|
|
authenticated: true,
|
|
pipeline_resolved: true,
|
|
pipeline_id: pipelineId,
|
|
pipeline_name: pipeline.name,
|
|
matched_by: matchedBy,
|
|
runner_id: runnerId,
|
|
expected_runner_id: expectedRunnerId || "",
|
|
};
|
|
}, { backendUrl, pipelineIdFromUrl, pipelineName, expectedRunnerId });
|
|
}
|
|
|
|
async function inspectToolNames(page, { backendUrl }) {
|
|
return await page.evaluate(async ({ backendUrl }) => {
|
|
const token = localStorage.getItem("token");
|
|
if (!token) {
|
|
return {
|
|
status: "blocked",
|
|
authenticated: false,
|
|
tool_names: [],
|
|
reason: "Browser profile has no localStorage token.",
|
|
};
|
|
}
|
|
const response = await fetch(`${backendUrl}/api/v1/tools`, {
|
|
headers: {
|
|
Authorization: `Bearer ${token}`,
|
|
"Content-Type": "application/json",
|
|
},
|
|
});
|
|
const json = await response.json().catch(() => ({}));
|
|
const toolNames = (json.data?.tools || [])
|
|
.map((tool) => tool.name || tool.tool_name || tool.function?.name || "")
|
|
.filter(Boolean)
|
|
.sort();
|
|
return {
|
|
status: response.status >= 400 ? "fail" : "ready",
|
|
authenticated: true,
|
|
http_status: response.status,
|
|
code: json.code ?? null,
|
|
tool_names: toolNames,
|
|
reason: response.status >= 400 ? json.msg || "Could not list tools." : "Tool list loaded.",
|
|
};
|
|
}, { backendUrl });
|
|
}
|
|
|
|
async function resetPipelineDebugChat(page, { backendUrl, pipelineId, sessionType }) {
|
|
return await page.evaluate(async ({ backendUrl, pipelineId, sessionType }) => {
|
|
const token = localStorage.getItem("token");
|
|
if (!token) {
|
|
return {
|
|
status: "blocked",
|
|
authenticated: false,
|
|
pipeline_id: pipelineId,
|
|
session_type: sessionType,
|
|
reason: "Browser profile has no localStorage token.",
|
|
};
|
|
}
|
|
const response = await fetch(
|
|
`${backendUrl}/api/v1/pipelines/${encodeURIComponent(pipelineId)}/ws/reset/${encodeURIComponent(sessionType)}`,
|
|
{
|
|
method: "POST",
|
|
headers: {
|
|
Authorization: `Bearer ${token}`,
|
|
"Content-Type": "application/json",
|
|
},
|
|
},
|
|
);
|
|
const json = await response.json().catch(() => ({}));
|
|
return {
|
|
status: response.status >= 400 ? "fail" : "ready",
|
|
authenticated: true,
|
|
pipeline_id: pipelineId,
|
|
session_type: sessionType,
|
|
reset_status: response.status,
|
|
reset_code: json.code ?? null,
|
|
reason: response.status >= 400 ? json.msg || "Debug Chat reset failed." : "Debug Chat session reset.",
|
|
};
|
|
}, { backendUrl, pipelineId, sessionType });
|
|
}
|
|
|
|
function pipelineIdFromUrlValue(value) {
|
|
const match = String(value || "").match(/\/pipelines?\/([^/?#]+)/i);
|
|
return match ? decodeURIComponent(match[1]) : "";
|
|
}
|
|
|
|
function countRole(messages, role) {
|
|
return messages.filter((message) => message.role === role).length;
|
|
}
|
|
|
|
function latestRoleText(messages, role) {
|
|
return messages.filter((message) => message.role === role).at(-1)?.text || "";
|
|
}
|
|
|
|
function messagesText(messages) {
|
|
return messages.map((message) => message.text).join("\n");
|
|
}
|
|
|
|
function findFailureSignal(text) {
|
|
return DEBUG_CHAT_FAILURE_SIGNALS.find((signal) => String(text || "").includes(signal)) || "";
|
|
}
|
|
|
|
function positiveInt(value, fallback) {
|
|
const parsed = Number.parseInt(String(value || ""), 10);
|
|
return Number.isFinite(parsed) && parsed > 0 ? parsed : fallback;
|
|
}
|