Provider Integration Templates

This skill provides complete integration templates, setup scripts, and working examples for integrating OpenRouter with popular AI frameworks: Vercel AI SDK, LangChain, and OpenAI SDK.

What This Skill Provides

1. Setup Scripts: Automated installation and configuration for each framework
2. Integration Templates: Drop-in code templates for provider configuration
3. Working Examples: Complete implementation examples with best practices
4. Validation Tools: Scripts to verify integrations are working correctly

Supported Frameworks

Vercel AI SDK (TypeScript)

• Provider configuration with createOpenAI()
• API route templates with streamText() and generateText()
• Chat UI components with useChat() hook
• Tool calling with Zod schemas
• Streaming responses

LangChain (Python & TypeScript)

• ChatOpenAI configuration for OpenRouter
• LCEL chain templates
• Agent templates with tool support
• RAG (Retrieval Augmented Generation) implementations
• Memory and context management

OpenAI SDK (Python & TypeScript)

• Drop-in replacement configuration
• Chat completions with streaming
• Function calling support
• Embeddings integration

Available Templates

Vercel AI SDK Templates

• templates/vercel-ai-sdk-config.ts - OpenRouter provider setup
• templates/vercel-api-route.ts - API route with streaming
• templates/vercel-chat-component.tsx - Chat UI component
• templates/vercel-tools-config.ts - Tool calling setup

LangChain Templates

• templates/langchain-config.py - Python ChatOpenAI setup
• templates/langchain-config.ts - TypeScript ChatOpenAI setup
• templates/langchain-chain.py - LCEL chain template
• templates/langchain-agent.py - Agent with tools
• templates/langchain-rag.py - RAG implementation

OpenAI SDK Templates

• templates/openai-sdk-config.ts - TypeScript configuration
• templates/openai-sdk-config.py - Python configuration
• templates/openai-streaming.ts - Streaming example
• templates/openai-functions.ts - Function calling

Setup Scripts

Installation Scripts

# Vercel AI SDK setup
bash scripts/setup-vercel-integration.sh

# LangChain setup (Python)
bash scripts/setup-langchain-integration.sh --python

# LangChain setup (TypeScript)
bash scripts/setup-langchain-integration.sh --typescript

Validation Scripts

# Validate integration is working
bash scripts/validate-integration.sh --framework vercel

# Test streaming functionality
bash scripts/test-streaming.sh --provider openrouter

# Check version compatibility
bash scripts/check-compatibility.sh

How to Use This Skill

1. Setup Framework Integration

Read the setup script for your target framework:

Read: skills/provider-integration-templates/scripts/setup-vercel-integration.sh

Execute the setup script to install dependencies:

bash skills/provider-integration-templates/scripts/setup-vercel-integration.sh

2. Use Integration Templates

Read the template you need:

Read: skills/provider-integration-templates/templates/vercel-ai-sdk-config.ts

Copy template to project:

cp skills/provider-integration-templates/templates/vercel-ai-sdk-config.ts src/lib/ai.ts

Customize with project-specific values:

• Replace YOUR_OPENROUTER_API_KEY with actual key or env var
• Update model selection
• Configure streaming options

3. Review Working Examples

Read complete examples:

Read: skills/provider-integration-templates/examples/vercel-streaming-example.md

Examples show:

• Complete file structure
• Environment variable setup
• API route implementation
• Frontend component integration
• Error handling patterns

4. Validate Integration

Run validation script:

bash skills/provider-integration-templates/scripts/validate-integration.sh --framework vercel

Test streaming:

bash scripts/test-streaming.sh --provider openrouter --model anthropic/claude-4.5-sonnet

Integration Patterns

Pattern 1: Vercel AI SDK Chat Application

1. Read Vercel AI SDK config template
2. Copy to src/lib/ai.ts
3. Read API route template
4. Copy to app/api/chat/route.ts
5. Read chat component template
6. Copy to components/chat.tsx
7. Run validation script

Pattern 2: LangChain LCEL Chain

1. Read LangChain config template (Python or TS)
2. Copy to src/config/langchain.py
3. Read LCEL chain template
4. Copy to src/chains/chat_chain.py
5. Customize prompts and models
6. Test with validation script

Pattern 3: OpenAI SDK Drop-in Replacement

1. Read OpenAI SDK config template
2. Replace base URL with OpenRouter endpoint
3. Add HTTP-Referer and X-Title headers
4. Update API key to use OpenRouter key
5. Test existing OpenAI code (should work unchanged)

Environment Variables

All templates use these standard environment variables:

OPENROUTER_API_KEY=sk-or-v1-...
OPENROUTER_MODEL=anthropic/claude-4.5-sonnet
OPENROUTER_SITE_URL=https://yourapp.com  # Optional: for rankings
OPENROUTER_SITE_NAME=YourApp  # Optional: for rankings

Model Selection

Templates use configurable model selection. Common models:

• anthropic/claude-4.5-sonnet - Best reasoning, long context
• anthropic/claude-4.5-sonnet - Most capable, highest cost
• meta-llama/llama-3.1-70b-instruct - Fast, cost-effective
• openai/gpt-4-turbo - Strong general purpose
• google/gemini-pro-1.5 - Long context, multimodal

Update model selection in templates based on use case.

Best Practices

1. Use Environment Variables: Never hardcode API keys
2. Enable Streaming: Better UX for chat applications
3. Add Error Handling: Handle rate limits and API errors
4. Set HTTP Headers: Include site URL and name for rankings
5. Test Before Deployment: Use validation scripts
6. Monitor Usage: Track costs with OpenRouter dashboard

Troubleshooting

Issue: API key not working

• Check key format: sk-or-v1-...
• Verify key in OpenRouter dashboard
• Check environment variable is loaded

Issue: Streaming not working

• Ensure stream: true in request
• Check framework version compatibility
• Verify response handler supports streaming

Issue: Model not found

• Check model ID format: provider/model-name
• Verify model is available on OpenRouter
• Check for typos in model name

Progressive Disclosure

For detailed implementation guides, load these files as needed:

• examples/vercel-streaming-example.md - Complete Vercel AI SDK setup
• examples/langchain-rag-example.md - RAG implementation guide
• examples/openai-sdk-example.md - OpenAI SDK migration guide

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Template Version: 1.0.0 Framework Support: Vercel AI SDK 4.x, LangChain 0.3.x, OpenAI SDK 1.x Last Updated: 2025-10-31