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Add SwimMeet — multi-stage AI workflow client with extended providers, anonymization, and register pdf_form_filler in MCP#526

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Add SwimMeet — multi-stage AI workflow client with extended providers, anonymization, and register pdf_form_filler in MCP#526
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copilot/complete-lexfiat-forecaster

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Copilot AI commented Mar 17, 2026

Implements SwimMeet (apps/mae-client/), a standalone competitive AI document drafting client supporting multi-stage workflow orchestration across any combination of AI models. Also fixes a gap where pdf_form_filler — used by all three Forecast modules — was never exposed via MCP.

New: apps/mae-client/ — SwimMeet

Lightweight two-tier app (backend port 5003, frontend port 5174) for multi-model, multi-stage document drafting.

Backend (Express 5 + TypeScript):

  • version-control.ts — in-memory document/version store (with stage metadata)
  • routes/documents.ts — document CRUD REST API
  • routes/generate.ts — proxies to Cyrano's /api/mae/write/multi for simple parallel generation
  • routes/workflow.tsPOST /api/workflow/run + GET /api/workflow/presets for multi-stage orchestration
  • workflow-engine.ts — core workflow executor (see Workflow Engine section)

Frontend (React 19 + Vite + Tailwind + Radix UI):

  • DocumentEditor — split-panel: prompt + anonymize toggle + WorkflowSelector + ModelSelector left; WorkflowStagePanel + VersionPanel right
  • WorkflowSelector — collapsible 2-col card grid for picking workflow type; synthesizer dropdown + expert personas textarea for workflows that need them
  • WorkflowStagePanel — vertical timeline of completed workflow stages, each collapsible, with output cards and provider/persona badges
  • ModelSelector — checkbox groups across OpenAI, Anthropic, Perplexity, Gemini, Groq, Cohere, DeepSeek, Local/Open, and a free-entry Custom Model section
  • VersionPanel — version cards (with stage badges) + full-text dialog + Radix Tabs side-by-side diff

Workflow Engine

Six workflow types are supported, selectable per document run:

Workflow Description
Head-to-Head (Parallel) All models run the same prompt simultaneously for maximum diversity
Relay Sequential chain — each model refines the previous model's output
Committee All models draft in parallel → synthesizer combines the best elements
Critique Round Parallel draft → models cross-critique each other's drafts (rotating) → synthesizer revises
EBOM Pipeline Synthesizer writes brief/RFP → models draft → synthesizer composites → models critique → synthesizer final revision
Expert Panel Each model adopts a named expert persona (Tax Attorney, Financial Advisor, etc.) → all run in parallel → synthesizer synthesizes views

Workflows requiring a synthesizer model show a dropdown (populated from the selected models). Expert Panel shows an editable textarea of personas. All stage outputs are saved as DocumentVersion entries with stageIndex/stageName/workflowType/persona metadata and appear in the VersionPanel for comparison.

Extended Model Provider Support

The ModelSelector and all API layers now support:

Group Models Notes
OpenAI gpt-4o, gpt-4o-mini, gpt-4-turbo, gpt-3.5-turbo Direct API
Anthropic claude-3-5-sonnet, claude-3-opus, claude-3-haiku Direct API
Perplexity sonar, sonar-pro Direct Perplexity API
Gemini gemini-2.0-flash, gemini-1.5-pro, gemini-1.5-flash Google provider
Groq llama-3.3-70b, llama-3.1-8b, mixtral-8x7b Routed via OpenRouter
Cohere command-r+, command-r Routed via OpenRouter
DeepSeek deepseek-chat, deepseek-reasoner ⚠ Inline data-sovereignty caution (CN servers)
Local / Open Mistral 7B free, Gemma 2 9B free OpenRouter free tier
Custom Any provider + model ID Free-entry for Ollama, LM Studio, future providers

DeepSeek models display an inline warning when selected: "Data routed to DeepSeek servers (CN). Do not use with client-identifiable information."

Anonymization for Sensitive Documents

A "Anonymize for sensitive documents" toggle is added to the DocumentEditor. When enabled, prompts are passed through Cyrano's existing ClientAnonymizationService (token-based PII anonymization, MRPC 1.6 aligned) before being sent to any AI provider:

  • Names, organizations, dates, amounts, emails, phones, case references → replaced with deterministic session-scoped tokens
  • Tokens reversed locally after the AI responds — the provider never sees original identities
  • Category 3 content (SSN, account numbers, date of birth) is blocked outright and never transmitted

Cyrano HTTP Bridge — MAE write endpoints

POST /api/mae/write        # single-model via aiService.call()
POST /api/mae/write/multi  # parallel multi-model, returns { versions[] }
GET  /api/mae/models       # expanded model catalogue

Both write endpoints accept anonymize?: boolean and forward it to aiService.call(). Provider enum expanded to include perplexity, google, deepseek, openrouter, groq, cohere. groq and cohere are resolved to the openrouter provider at runtime.

pdf_form_filler also added to the lazy-load tool cache.

MCP Server — pdf_form_filler registration (fix)

pdf_form_filler existed and was used internally by TaxForecastModule, ChildSupportForecastModule, and QDROForecastModule, but was absent from both ListToolsRequestSchema and the CallTool dispatch — making it invisible to any MCP client.

AI Orchestrator — provider normalization fix

normalizeProviderName() in both services/ai-orchestrator.ts and tools/ai-orchestrator.ts now maps openrouter, groq, and cohere (was throwing Unknown AI provider for these).

[!WARNING]

Original prompt

Implement completion of the standalone LexFiat Forecaster™ application and create a new standalone thin client for the MAE (Multi-Agent Engine) for document writing with multiple models and versions.

LexFiat Forecaster™ Completion

Complete the standalone forecaster application with PDF form filling, workflow integration, and branding implementation.

Current Status

  • ✅ Standalone app exists in apps/forecaster/
  • ✅ Frontend React UI functional
  • ✅ Backend API with tax calculations
  • ✅ HTTP bridge compatibility endpoints
  • ❌ Missing PDF form filling for IRS/Michigan forms
  • ❌ Workflow integration incomplete (tax_return_forecast, child_support_forecast, qdro_forecast)
  • ❌ Branding implementation needs completion

Tasks

1. Implement PDF Form Filling

Files:

  • Cyrano/src/tools/pdf-form-filler.ts (new or update)
  • Cyrano/src/modules/forecast/formulas/tax-formulas.ts (update for form filling)

Requirements:

  • Create pdf_form_filler MCP tool
  • Implement fill_pdf_forms action in document_processor.ts
  • Support IRS tax forms (1040, schedules) and Michigan state forms
  • Integrate with existing tax calculations
  • Add form validation and error handling

2. Complete Forecast Workflows

Files:

  • Cyrano/src/engines/forecast/forecast-engine.ts (update)
  • Workflow definitions for tax_return_forecast, child_support_forecast, qdro_forecast

Requirements:

  • Register forecast workflows in MAE
  • Implement child support calculations (Michigan FOC formula)
  • Implement QDRO division scenarios
  • Add workflow state management
  • Integrate with PDF form filling

3. Implement Forecast Branding

Files:

  • Cyrano/src/modules/forecast/branding.ts (new)
  • apps/forecaster/backend/src/branding.ts (new)
  • HTTP bridge endpoints (update)

Requirements:

  • Apply mandatory branding strips/watermarks to all generated forecasts
  • Support presentation modes: strip, watermark, none
  • Implement risk acknowledgement for branding removal
  • Auto-reset branding after 24 hours
  • Ensure branding is enforced in both standalone and Cyrano-integrated modes

4. Register Forecast Tools

Files:

  • Cyrano/src/mcp-server.ts (update for tool registration)
  • Cyrano/src/http-bridge.ts (update endpoints)

Requirements:

  • Register pdf_form_filler tool in MCP server
  • Register forecast calculation tools
  • Update HTTP bridge with PDF generation endpoints
  • Add proper error handling and validation

MAE Thin Client (Multi-Version Document Writer)

Create a standalone thin client application for the MAE engine that allows document writing using multiple AI models and versions, similar to the EBOM spec creation process.

Concept

A lightweight web application that:

  • Connects to Cyrano's MAE engine
  • Allows users to write documents iteratively using different AI models
  • Generates multiple versions of the same content
  • Provides comparison and merging capabilities
  • Maintains document history and version control

Implementation Tasks

1. Create MAE Thin Client App

Files:

  • apps/mae-client/ (new directory)
  • apps/mae-client/frontend/src/ (React app)
  • apps/mae-client/frontend/package.json
  • apps/mae-client/README.md

Requirements:

  • React 19 + TypeScript + Vite setup
  • Tailwind CSS + Radix UI for styling
  • Document editor with rich text capabilities
  • Model selection dropdown (OpenAI, Anthropic, etc.)
  • Version history panel
  • Comparison view for different versions

2. MAE Client Backend/API

Files:

  • apps/mae-client/backend/src/ (Express API)
  • apps/mae-client/backend/package.json

Requirements:

  • Local API server for the client
  • Integration with Cyrano's MAE engine via HTTP bridge
  • Document storage (local files or database)
  • Version management system
  • Authentication (optional, local only)

3. Multi-Version Document Generation

Files:

  • apps/mae-client/frontend/src/components/DocumentEditor.tsx
  • apps/mae-client/frontend/src/components/VersionPanel.tsx
  • apps/mae-client/frontend/src/components/ModelSelector.tsx

Requirements:

  • Document editor with prompt input
  • Generate multiple versions using different models
  • Parallel generation for speed
  • Version comparison UI (side-by-side diff)
  • Merge functionality for combining versions
  • Export options (PDF, DOCX, Markdown)

4. Integration with Cyrano MAE

Files:

  • Cyrano/src/http-bridge.ts (add MAE client endpoints)
  • apps/mae-client/frontend/src/lib/mae-api.ts

Requirements:

  • HTTP endpoints for MAE document generation
  • Support for multiple model selection
  • Streaming responses for real-time generation
  • Error handling and retry logic
  • Rate limiting integration

5. Document Version Control

Files:

  • apps/mae-client/backend/src/version-control.ts
  • Database schema for document versions

Requirements:

  • Store document versions with metadata (model used, timestamp, prompt)
  • Version comparison algorithms
  • Automatic saving of drafts
  • Restore previou...

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Copilot AI and others added 2 commits March 18, 2026 00:09
Creates apps/mae-client/ with:
- backend/: Express + TypeScript server on port 5003
  - In-memory document/version store
  - REST API: /api/documents, /api/generate
  - Forwards generation requests to Cyrano HTTP bridge (port 5002)
  - Streaming SSE endpoint: /api/generate/stream
- frontend/: React 19 + Vite + Tailwind CSS 3 SPA on port 5174
  - DocumentList page with create/delete
  - DocumentEditor with prompt input and model selection
  - ModelSelector: OpenAI + Anthropic model groups with checkboxes
  - VersionPanel: version cards, full-text dialog, side-by-side diff
  - Proxies /api to backend

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
…te endpoints to HTTP bridge"

Co-authored-by: MightyPrytanis <219587333+MightyPrytanis@users.noreply.github.com>
Copilot AI changed the title [WIP] Complete standalone LexFiat Forecaster application Add MAE thin client for multi-model document writing and register pdf_form_filler in MCP Mar 18, 2026
Copilot AI requested a review from MightyPrytanis March 18, 2026 00:21
@MightyPrytanis
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MightyPrytanis commented Mar 18, 2026

@copilot I'd like users to have the ability to add more models in particular, I'd like them to have access to perplexity sonar, Grok, and Gemini, as well as a locally hosted models and the option to add others like cohere and DeepSeek, (although DeepSeek should come with cautions) also is there a way to use the token-based anonymizing system that we developed for Lex Fiat in the standalone for when it is being used for sensitive documents?

@MightyPrytanis
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@copilot I also would like the ability to use more than one workflow. For EBOM, we had an orchestrator design a RFP, then three models prepared proposed specs, then the orchestrator combined the anonymized specs into a draft, then the draft went to the the three competing models for critique/comment, then back to the orchestrating model for final revision and submission. There are infinite variations on this, as well as straight head to head competition, relays, a "committee review," a panel of experts, etc etc. This standalone should be flexible enough to adapt to the needs of the user in this respect.

Also: how do we feel about resurrecting the "SwimMeet" name for this standalone app?

…k, Local) and anonymization to MAE thin client

Co-authored-by: MightyPrytanis <219587333+MightyPrytanis@users.noreply.github.com>
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Copilot AI commented Mar 18, 2026

@copilot I'd like users to have the ability to add more models in particular, I'd like them to have access to perplexity sonar, Grok, and Gemini, as well as a locally hosted models a...

Done in commit 7d58efb.

Extended model support added:

  • Perplexity Sonar (sonar, sonar-pro) — direct Perplexity API (already in Cyrano)
  • Gemini (gemini-2.0-flash, gemini-1.5-pro, gemini-1.5-flash) — Google provider
  • Groq (llama-3.3-70b, llama-3.1-8b, mixtral-8x7b) — routed via OpenRouter
  • Cohere (command-r+, command-r) — routed via OpenRouter
  • DeepSeek (deepseek-chat, deepseek-reasoner) — with a visible ⚠ caution flag: "Data routed to DeepSeek servers (CN). Do not use with client-identifiable information." The warning appears inline when you select a DeepSeek model.
  • Local / Open (Mistral 7B free, Gemma 2 9B free) — via OpenRouter's free tier
  • Custom model entry — enter any provider + model ID + optional label to add models not in the list (covers any future providers or locally-hosted Ollama/LM Studio endpoints)

Anonymization (Cyrano's ClientAnonymizationService)
A toggle labelled "Anonymize for sensitive documents" appears above the model selector. When enabled, the prompt passes through Cyrano's token-based PII system before leaving for any AI provider — names, organizations, dates, amounts, emails, phones, etc. are replaced with deterministic session-scoped tokens, then reversed locally on the response. Category 3 content (SSN, account numbers, date of birth) is blocked outright and never sent. The toggle shows a brief plain-language explanation when active.

Copilot AI changed the title Add MAE thin client for multi-model document writing and register pdf_form_filler in MCP Add MAE thin client for multi-model document writing, extended provider support, anonymization, and register pdf_form_filler in MCP Mar 18, 2026
Copilot AI and others added 2 commits March 18, 2026 01:18
- Rename app to SwimMeet throughout (package.json names/descriptions,
  App.tsx header, health endpoint, port env var, README)
- Add workflow-engine.ts: 6 workflow types (parallel, relay, committee,
  critique, ebom, panel) with full multi-stage orchestration logic
- Add routes/workflow.ts: POST /api/workflow/run with Zod validation
- Register /api/workflow router in index.ts
- Add WorkflowSelector.tsx: collapsible 2-column workflow card grid,
  synthesizer dropdown, expert personas textarea
- Add WorkflowStagePanel.tsx: vertical timeline of completed stages
  with collapsible output cards
- Update DocumentEditor.tsx: integrate WorkflowSelector + WorkflowStagePanel,
  dispatch to runWorkflow for non-parallel workflows, disable Generate
  when synthesizer required but not selected
- Update VersionPanel.tsx: add Stage N / stageName badges from metadata
- Update lib/api.ts: add WorkflowStageResult types and runWorkflow()

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
…; fix critique rotation; rename app to SwimMeet

Co-authored-by: MightyPrytanis <219587333+MightyPrytanis@users.noreply.github.com>
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Copilot AI commented Mar 18, 2026

@copilot I also would like the ability to use more than one workflow. For EBOM, we had an orchestrator design a RFP, then three models prepared proposed specs, then the orchestrator combined the anon...

Done in commits 170d396 + 237b692. And yes — SwimMeet it is.

6 workflow types implemented:

Workflow Description
Head-to-Head All models run the same prompt simultaneously (existing behavior)
Relay Sequential chain — each model refines the previous model's output
Committee All models draft in parallel → synthesizer combines the best elements
Critique Round Parallel draft → models cross-critique each other's drafts (rotating) → synthesizer incorporates feedback into final revision
EBOM Pipeline Synthesizer writes a detailed brief/RFP → models draft from brief → synthesizer composites → models critique composite → synthesizer final revision
Expert Panel Each model adopts a named expert persona (Tax Attorney, Financial Advisor, Family Law Mediator, Business Valuator, Estate Planner, Forensic Accountant — editable) → all run in parallel → synthesizer synthesizes expert views

UI: A collapsible WorkflowSelector panel appears above the model list with 6 workflow cards. Workflows that need a synthesis model (committee, critique, ebom, panel) show a synthesizer dropdown (populated from the currently selected models). The panel of experts shows an editable textarea of personas, one per line. Generate is disabled with a warning if the selected workflow needs a synthesizer but none is picked.

Stage results appear below the version list in a vertical timeline (each stage collapsible, last stage auto-expanded). All stage outputs are also saved as DocumentVersion entries with stageIndex/stageName metadata and appear in the main VersionPanel for comparison.

The architecture is fully extensible — new workflow types can be added in workflow-engine.ts + WorkflowSelector.tsx without touching any other files.

Copilot AI changed the title Add MAE thin client for multi-model document writing, extended provider support, anonymization, and register pdf_form_filler in MCP Add SwimMeet — multi-stage AI workflow client with extended providers, anonymization, and register pdf_form_filler in MCP Mar 18, 2026
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