8839075805
Implements Phases 1-8 of the TFTSR implementation plan. Rust backend (Tauri 2.x, src-tauri/): - Multi-provider AI: OpenAI-compatible, Anthropic, Gemini, Mistral, Ollama - PII detection engine: 11 regex patterns with overlap resolution - SQLCipher AES-256 encrypted database with 10 versioned migrations - 28 Tauri IPC commands for triage, analysis, document, and system ops - Ollama: hardware probe, model recommendations, pull/delete with events - RCA and blameless post-mortem Markdown document generators - PDF export via printpdf - Audit log: SHA-256 hash of every external data send - Integration stubs for Confluence, ServiceNow, Azure DevOps (v0.2) Frontend (React 18 + TypeScript + Vite, src/): - 9 pages: full triage workflow NewIssue→LogUpload→Triage→Resolution→RCA→Postmortem→History+Settings - 7 components: ChatWindow, TriageProgress, PiiDiffViewer, DocEditor, HardwareReport, ModelSelector, UI primitives - 3 Zustand stores: session, settings (persisted), history - Type-safe tauriCommands.ts matching Rust backend types exactly - 8 IT domain system prompts (Linux, Windows, Network, K8s, DB, Virt, HW, Obs) DevOps: - .woodpecker/test.yml: rustfmt, clippy, cargo test, tsc, vitest on every push - .woodpecker/release.yml: linux/amd64 + linux/arm64 builds, Gogs release upload Verified: - cargo check: zero errors - tsc --noEmit: zero errors - vitest run: 13/13 unit tests passing Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
49 lines
1.2 KiB
TypeScript
49 lines
1.2 KiB
TypeScript
import Anthropic from '@anthropic-ai/sdk';
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import spaceTrim from 'spaceTrim';
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const anthropic = new Anthropic({
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apiKey: 'my_api_key', // defaults to process.env["ANTHROPIC_API_KEY"]
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});
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const msg = await anthropic.messages.create({
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model: 'claude-2.1',
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max_tokens: 1000,
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temperature: 0,
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messages: [
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{
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role: 'user',
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content: spaceTrim(`
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Write a study plan for a 16-year-old student
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## Example
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<study-plan>
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<subject name="Math">
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<schedule day="Monday" time="9:00 AM"/>
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<topics>
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<topic>Algebra</topic>
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<topic>Geometry</topic>
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<topic>Calculus</topic>
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</topics>
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</subject>
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<subject name="English">
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<schedule day="Monday" time="10:00 AM"/>
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<topics>
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<topic>Grammar</topic>
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<topic>Literature</topic>
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<topic>Composition</topic>
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</topics>
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</subject>
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</study-plan>
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`),
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},
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],
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});
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console.log(msg);
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