Update README.md

README.md

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----
-title: OmniMind Orchestrator
-emoji: 🧠
-colorFrom: purple
-colorTo: blue
-sdk: gradio
-sdk_version: 6.0.0
-app_file: app.py
-pinned: true
-tags:
-  - mcp-in-action-track-enterprise
-  - ai-agents
-  - mcp
-  - multi-model
-  - gradio-6
-license: mit
----
-
-# OmniMind Orchestrator
-
-**Automated MCP Server Generation for Enterprise Workflows**
-
-## Competition Entry
-
-**Track**: MCP in Action - Enterprise Category
-**Event**: MCP's 1st Birthday Hackathon (Anthropic & Gradio)
-**Tags**: `mcp-in-action-track-enterprise`
-
----
-
-## What It Does
-
-OmniMind generates custom MCP (Model Context Protocol) servers from natural language descriptions. Instead of manually writing integration code, you describe what you need and the system generates the code, deploys it, and makes it available as a tool.
-
-**Example**:
-You say: *"Create a tool that checks if a domain is available for registration"*
-OmniMind writes the MCP server code, handles the API integration, and deploys it. Takes about 30 seconds.
-
----
-
-## Key Features
-
-### 1. Dynamic Code Generation
-- Generates complete MCP server implementations
-- Includes API integration, error handling, and documentation
-- Uses Claude Sonnet 4 for code synthesis
-
-### 2. Multi-Model Routing
-- Routes tasks to appropriate models based on requirements
-- Claude Sonnet 4 for complex reasoning and code
-- Gemini 2.0 Flash for faster, simpler tasks
-- GPT-4o-mini for planning and routing decisions
-- Reduces API costs by ~90% vs using Claude for everything
-
-### 3. Performance Optimization
-- Analyzes generated code for improvements
-- Suggests and applies optimizations automatically
-- Benchmarks show 10-25% performance gains on average
-
-### 4. Voice Interface (Optional)
-- ElevenLabs integration for voice input/output
-- Useful for hands-free operation in field/manufacturing settings
-
-### 5. Enterprise Knowledge Integration
-- LlamaIndex RAG for context from company documents
-- Generates more accurate code when given domain knowledge
-
----
-
-## Technical Architecture
-
-```
-User Request
-    ↓
-Multi-Model Router (selects appropriate LLM)
-    ↓
-Code Generation (creates MCP server)
-    ↓
-Optional: Modal Deployment (serverless hosting)
-    ↓
-Execution & Response
-```
-
-**Stack**:
-- **Frontend**: Gradio 6.0
-- **LLMs**: Claude Sonnet 4, Gemini 2.0 Flash, GPT-4o-mini
-- **Deployment**: Modal (optional)
-- **RAG**: LlamaIndex
-- **Voice**: ElevenLabs (optional)
-
----
-
-## Use Cases
-
-**API Integration**
-*"Create a tool that fetches real-time stock prices from Alpha Vantage"*
-
-**Data Processing**
-*"Build a tool that converts CSV files to JSON with schema validation"*
-
-**Web Scraping**
-*"Make a tool that extracts product prices from an e-commerce site"*
-
-**Internal Tools**
-*"Create a tool that queries our PostgreSQL database for customer orders"*
-
----
-
-## Setup
-
-### Required API Keys
-- Anthropic Claude: [Get key](https://console.anthropic.com/settings/keys)
-- OpenAI: [Get key](https://platform.openai.com/api-keys)
-- Google Gemini: [Get key](https://aistudio.google.com/app/apikey)
-
-### Optional API Keys
-- Modal (for deployment): [Get token](https://modal.com/settings)
-- ElevenLabs (for voice): [Get key](https://elevenlabs.io/app/settings)
-
-Configure in Space Settings → Variables and secrets:
-```
-ANTHROPIC_API_KEY=sk-ant-xxx
-OPENAI_API_KEY=sk-xxx
-GOOGLE_API_KEY=xxx
-```
-
----
-
-## Cost Comparison
-
-**Traditional Development**:
-- Developer time: 4-8 hours @ $100/hr = $400-800
-- Testing & debugging: 2-4 hours = $200-400
-- **Total**: $600-1,200 per integration
-
-**With OmniMind**:
-- Generation time: 30 seconds
-- API cost: ~$0.05
-- **Total**: $0.05 per integration
-
-*Note: Still requires human review of generated code for production use.*
-
----
-
-## Limitations & Honest Assessment
-
-**What works well**:
-- Generating standard API wrappers and data transformations
-- Creating simple automation tools
-- Rapid prototyping of integrations
-
-**What needs improvement**:
-- Complex business logic requires human review
-- Security-critical code should be manually audited
-- Performance optimization is hit-or-miss
-- No guarantee of correctness (LLM limitations apply)
-
-**This is a prototype**, not production-ready software. Use it for:
-- Prototyping
-- Internal tools
-- Non-critical automations
-
-Don't use it for:
-- Financial transactions
-- Healthcare/safety-critical systems
-- Anything where bugs could cause serious harm
-
----
-
-## Sponsor Integrations
-
-This project uses:
-- **Anthropic Claude**: Code generation and reasoning
-- **Google Gemini**: Fast task routing and multimodal support
-- **OpenAI GPT-4**: Planning and decision-making
-- **Modal**: Optional serverless deployment
-- **LlamaIndex**: Enterprise knowledge retrieval
-- **ElevenLabs**: Optional voice interface
-- **Gradio 6**: User interface
-
----
-
-## License
-
-MIT License - See LICENSE file for details
-
----
-
-## Acknowledgments
-
-Thanks to Anthropic, Gradio, and HuggingFace for hosting this hackathon and providing the infrastructure to build this.
-
-Built for MCP's 1st Birthday Hackathon - November 2024
+---
+title: OmniMind Orchestrator
+emoji: 🧠
+colorFrom: purple
+colorTo: blue
+sdk: gradio
+sdk_version: 6.0.1
+app_file: app.py
+pinned: true
+tags:
+- mcp-in-action-track-enterprise
+- ai-agents
+- mcp
+- multi-model
+- gradio-6
+license: mit
+---
+
+# OmniMind Orchestrator
+
+**Automated MCP Server Generation for Enterprise Workflows**
+
+## Competition Entry
+
+**Track**: MCP in Action - Enterprise Category
+**Event**: MCP's 1st Birthday Hackathon (Anthropic & Gradio)
+**Tags**: `mcp-in-action-track-enterprise`
+
+---
+
+## What It Does
+
+OmniMind generates custom MCP (Model Context Protocol) servers from natural language descriptions. Instead of manually writing integration code, you describe what you need and the system generates the code, deploys it, and makes it available as a tool.
+
+**Example**:
+You say: *"Create a tool that checks if a domain is available for registration"*
+OmniMind writes the MCP server code, handles the API integration, and deploys it. Takes about 30 seconds.
+
+---
+
+## Key Features
+
+### 1. Dynamic Code Generation
+- Generates complete MCP server implementations
+- Includes API integration, error handling, and documentation
+- Uses Claude Sonnet 4 for code synthesis
+
+### 2. Multi-Model Routing
+- Routes tasks to appropriate models based on requirements
+- Claude Sonnet 4 for complex reasoning and code
+- Gemini 2.0 Flash for faster, simpler tasks
+- GPT-4o-mini for planning and routing decisions
+- Reduces API costs by ~90% vs using Claude for everything
+
+### 3. Performance Optimization
+- Analyzes generated code for improvements
+- Suggests and applies optimizations automatically
+- Benchmarks show 10-25% performance gains on average
+
+### 4. Voice Interface (Optional)
+- ElevenLabs integration for voice input/output
+- Useful for hands-free operation in field/manufacturing settings
+
+### 5. Enterprise Knowledge Integration
+- LlamaIndex RAG for context from company documents
+- Generates more accurate code when given domain knowledge
+
+---
+
+## Technical Architecture
+
+```
+User Request
+    ↓
+Multi-Model Router (selects appropriate LLM)
+    ↓
+Code Generation (creates MCP server)
+    ↓
+Optional: Modal Deployment (serverless hosting)
+    ↓
+Execution & Response
+```
+
+**Stack**:
+- **Frontend**: Gradio 6.0
+- **LLMs**: Claude Sonnet 4, Gemini 2.0 Flash, GPT-4o-mini
+- **Deployment**: Modal (optional)
+- **RAG**: LlamaIndex
+- **Voice**: ElevenLabs (optional)
+
+---
+
+## Use Cases
+
+**API Integration**
+*"Create a tool that fetches real-time stock prices from Alpha Vantage"*
+
+**Data Processing**
+*"Build a tool that converts CSV files to JSON with schema validation"*
+
+**Web Scraping**
+*"Make a tool that extracts product prices from an e-commerce site"*
+
+**Internal Tools**
+*"Create a tool that queries our PostgreSQL database for customer orders"*
+
+---
+
+## Setup
+
+### Required API Keys
+- Anthropic Claude: [Get key](https://console.anthropic.com/settings/keys)
+- OpenAI: [Get key](https://platform.openai.com/api-keys)
+- Google Gemini: [Get key](https://aistudio.google.com/app/apikey)
+
+### Optional API Keys
+- Modal (for deployment): [Get token](https://modal.com/settings)
+- ElevenLabs (for voice): [Get key](https://elevenlabs.io/app/settings)
+
+Configure in Space Settings → Variables and secrets:
+```
+ANTHROPIC_API_KEY=sk-ant-xxx
+OPENAI_API_KEY=sk-xxx
+GOOGLE_API_KEY=xxx
+```
+
+---
+
+## Cost Comparison
+
+**Traditional Development**:
+- Developer time: 4-8 hours @ $100/hr = $400-800
+- Testing & debugging: 2-4 hours = $200-400
+- **Total**: $600-1,200 per integration
+
+**With OmniMind**:
+- Generation time: 30 seconds
+- API cost: ~$0.05
+- **Total**: $0.05 per integration
+
+*Note: Still requires human review of generated code for production use.*
+
+---
+
+## Limitations & Honest Assessment
+
+**What works well**:
+- Generating standard API wrappers and data transformations
+- Creating simple automation tools
+- Rapid prototyping of integrations
+
+**What needs improvement**:
+- Complex business logic requires human review
+- Security-critical code should be manually audited
+- Performance optimization is hit-or-miss
+- No guarantee of correctness (LLM limitations apply)
+
+**This is a prototype**, not production-ready software. Use it for:
+- Prototyping
+- Internal tools
+- Non-critical automations
+
+Don't use it for:
+- Financial transactions
+- Healthcare/safety-critical systems
+- Anything where bugs could cause serious harm
+
+---
+
+## Sponsor Integrations
+
+This project uses:
+- **Anthropic Claude**: Code generation and reasoning
+- **Google Gemini**: Fast task routing and multimodal support
+- **OpenAI GPT-4**: Planning and decision-making
+- **Modal**: Optional serverless deployment
+- **LlamaIndex**: Enterprise knowledge retrieval
+- **ElevenLabs**: Optional voice interface
+- **Gradio 6**: User interface
+
+---
+
+## License
+
+MIT License - See LICENSE file for details
+
+---
+
+## Acknowledgments
+
+Thanks to Anthropic, Gradio, and HuggingFace for hosting this hackathon and providing the infrastructure to build this.
+
+Built for MCP's 1st Birthday Hackathon - November 2024