Add Step 2 (P1): natural-language intent routing and intent UI

[rad1092]

Motivation

• Provide a natural-language "작업 요청(intent)" layer so users can give free-text instructions separate from question and have the UI route to the appropriate workflow.
• Start a simple but useful intent-routing surface (analysis / multi-compare / visualize / fallback) to reduce friction for common multi-step flows.

Description

• Added an intent textarea and an intentActions region to the UI (bitnet_tools/ui/index.html) to capture task intent and surface recommended actions.
• Implemented first-pass intent classification in classifyIntent and intent-driven execution via runByIntent in bitnet_tools/ui/app.js, routing intents to analyze, multi (multi-compare), visualize, or unknown fallback flows.
• Extracted and reused runMultiAnalyze and added requestState to store separated question, intent, and route, plus a modeGuide to explain quick/advanced flows.
• Added fallback recommended action buttons and live UI hints while typing the intent, and minor accessibility/status improvements (aria-live) and styling in bitnet_tools/ui/styles.css.

Testing

• Ran the test suite with pytest -q and all tests passed (26 passed).
• Launched the web UI and ran an automated Playwright smoke script that filled the intent and captured a screenshot at artifacts/ui-step2-intent.png, which verified the new intent input, live hint text, and recommended-action buttons rendering.

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Codex Task

[chatgpt-codex-connector]

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