# MosaicIQ - Agent Instructions & Project Documentation

You are helping implement **MosaicIQ**, an AI-native equity research workspace.

Use the attached **MosaicIQ Design Document v3** as the primary reference for product intent, UX direction, architecture, screen specs, agent behavior, and implementation details. This file is intentionally light; the design doc contains the fuller guidance.

## Required Environment Variables

**An LLM provider API key is required.** This application uses the Pi Coding Agent SDK for all LLM operations. Set at least one of the following:

```bash
export ANTHROPIC_API_KEY=sk-ant-...
# or
export OPENAI_API_KEY=sk-...
# or
export DEEPSEEK_API_KEY=...
# or
export GOOGLE_API_KEY=...
# or
export ZAI_API_KEY=...
```

### API Details

- **SDK**: `@earendil-works/pi-coding-agent` — multi-provider agent framework
- **Providers**: Anthropic, OpenAI, DeepSeek, Google Gemini, xAI/ZAI, and more
- **Client**: SDK-backed client in `packages/shared/src/llm/piSdk.ts`
- **Default model**: First available from configured provider (prefers Anthropic)
- **Features**: Streaming, tool use, structured output, multi-agent pipelines

All agent execution, memo generation, and AI-powered features depend on at least one provider API key.

## Core Direction

Build a clean, fast, local-first equity research application with a **t3-code-style architecture**:

- Clear client/server boundary
- Typed RPC layer for all client/server communication
- Local-first persistence
- Simple, composable React components
- Minimal magic, strong types, predictable state
- Practical implementation over over-engineering

## Product Identity

The product name is **MosaicIQ**.

Do not use old/internal names like “Meridian” in user-facing UI unless the design doc explicitly says it is internal.

## Design Feel

Follow the design doc’s editorial research-workstation style:

- Serif display typography for headings
- Monospace for tickers, numbers, metadata, financial tables, and code-like labels
- Sans-serif for body/UI text
- Warm neutral palette with one restrained rust accent
- Hairline borders and whitespace instead of heavy cards, shadows, or gradients
- Dense but calm layout for analysts working on desktop screens

Keep the UI serious, analytical, and professional.

## Architecture Rules

Prefer the structure described in the design doc:

- Client never reads or writes storage directly
- Client talks to the server through typed RPC methods
- Server owns SQLite persistence, agent orchestration, file I/O, and export logic
- Client owns UI state such as active screen, panels, collapsed nav, search, and display preferences
- Use schema validation and safe defaults for settings
- Keep the path open for future remote/server deployment

## Agent Behavior

Agents should feel like collaborative research analysts, not black-box tools.

They should:

- Surface assumptions
- Cite or reference source material when possible
- Flag uncertainty
- Ask for clarification only when needed
- Support review, acceptance, rejection, and revision workflows
- Avoid pushing unvalidated conclusions directly into final outputs

Use the design doc’s agent system, validation loop, and screen guidance for details.

## Implementation Priorities

Start simple and build in layers:

1. App shell and navigation
2. Portfolio/company workspace
3. Financial model table UI
4. Memo editor
5. Agent orchestration UI
6. RPC/server persistence
7. Export flows
8. Validation/review loops

Do not try to implement everything at once. Favor small, working vertical slices.

## Coding Style

- Use TypeScript throughout
- Keep components small and readable
- Prefer explicit state and typed data contracts
- Avoid unnecessary abstractions
- Avoid large monolithic files
- Keep styling consistent with the design tokens in the design doc
- Make empty, loading, error, and disabled states feel intentional

## Dev Server

**NEVER start, stop, restart, or manage the app/dev server.** Do not run `npm run dev`, `pnpm dev`, `yarn dev`, `vite`, `vite preview`, Electron launch commands, or equivalent server/app-start commands.

The user runs the app independently. Your job is to write/edit code and run non-server verification commands such as typecheck, lint, tests, or production build when requested or appropriate.

Do not open or navigate a browser to the local app unless the user explicitly asks for browser inspection and confirms that they already have the app running.

## When Unsure

Refer back to the MosaicIQ Design Document v3. It contains additional helpful information on:

- Design tokens
- Screen specifications
- Component behavior
- RPC methods
- SSE events
- Data/state shape
- Persistence/versioning
- Agent workflows
- Export center
- Accessibility and keyboard shortcuts

Default to the design doc unless it conflicts with a newer explicit instruction.

---

# LLM Client Reference

The Pi API client is located at `packages/shared/src/llm/client.ts`.

## Available Functions

### `streamResponse(prompt, options)`
Stream a response from Pi with progress callbacks.

```typescript
import { streamResponse } from "@mosaiciq/shared/llm";

const response = await streamResponse("Analyze this data", {
  model: "pi",              // Optional, defaults to "pi"
  maxTokens: 4096,          // Optional, defaults to 4096
  temperature: 0,           // Optional, defaults to 0
  onProgress: (text) => console.log(text),  // Optional progress callback
  signal: abortSignal,      // Optional AbortSignal for cancellation
});
```

### `complete(prompt, options)`
Get a complete response without streaming.

```typescript
import { complete } from "@mosaiciq/shared/llm";

const response = await complete("Summarize this report", {
  model: "pi",
  maxTokens: 2048,
  temperature: 0.5,
});
```

### `streamStructuredResponse(prompt, schema, options)`
Stream a response and parse as JSON using the provided schema.

```typescript
import { streamStructuredResponse } from "@mosaiciq/shared/llm";

const result = await streamStructuredResponse(
  "Extract financial metrics",
  {
    revenue: "number",
    growth: "number",
    margin: "number",
  },
  {
    onProgress: (text) => updateUI(text),
    signal,
  }
);
```

### `completeStructured(prompt, schema, options)`
Get a complete structured JSON response.

```typescript
import { completeStructured } from "@mosaiciq/shared/llm";

const data = await completeStructured(
  "Parse this earnings report",
  {
    eps: "number",
    revenue: "string",
    guidance: "string",
  }
);
```

### `isConfigured()`
Check if the Pi API key is properly configured.

```typescript
import { isConfigured } from "@mosaiciq/shared/llm";

if (!isConfigured()) {
  console.error("PI_API_KEY is not set");
}
```

## Usage in Agents

When implementing agents that use the Pi API:

```typescript
import { streamResponse, isConfigured } from "../llm/client.js";

export async function executeMyAgent(db: Db, companyId: string) {
  if (!isConfigured()) {
    throw new Error("PI_API_KEY is not configured");
  }

  const prompt = buildAgentPrompt(context);

  const result = await streamResponse(prompt, {
    onProgress: (text) => updateProgress(text),
    signal,
  });

  return result;
}
```

---

# Monorepo Structure

```
local_research_app/
├── apps/
│   ├── desktop/          # Electron main process (RPC server, file I/O)
│   └── web/              # React web UI (client)
├── packages/
│   ├── contracts/        # Shared TypeScript types (RPC, domain models)
│   └── shared/           # Shared utilities, DB, LLM client, agents
├── docs/
│   └── architecture.md   # Architecture documentation
├── agent.md              # This file - agent instructions
├── pnpm-workspace.yaml   # PNPM workspace configuration
└── package.json          # Root package.json
```

---

# Key Files by Concern

## RPC Layer
- `packages/contracts/src/rpc.ts` - RPC method definitions and types
- `apps/desktop/src/rpc.ts` - RPC server implementation
- `apps/web/src/rpcClient.ts` - RPC client wrapper

## Data Layer
- `packages/shared/src/db/database.ts` - SQLite database setup
- `packages/shared/src/db/schema.ts` - Database schema
- `packages/shared/src/db/queries.ts` - Database query functions

## LLM Layer
- `packages/shared/src/llm/client.ts` - Pi API client
- `packages/shared/src/llm/prompts.ts` - Agent prompt templates
- `packages/shared/src/llm/context.ts` - Context building for agents

## Agents
- `packages/shared/src/agents/runner.ts` - Individual agent execution
- `packages/shared/src/agents/executor.ts` - Agent pipeline orchestration
- `packages/shared/src/agents/index.ts` - Agent registry and exports

## Export
- `packages/shared/src/export/excel.ts` - Excel export (ExcelJS)
- `packages/shared/src/export/pdf.ts` - PDF export
- `packages/shared/src/export/pptx.ts` - PowerPoint export (PptxGenJS)