Dify Integration with TrueFoundry's AI Gateway
Building AI apps with Dify is awesome. The platform makes it super easy to create chatbots, AI agents, and smart search systems without writing tons of code. You can drag and drop components, connect to different AI models, and get your prototype running in minutes.
But here’s the thing: moving from development to production is where most AI projects stumble. What works perfectly with a few test users can break spectacularly when thousands of real customers start using it. TrueFoundry AI Gateway bridges this gap seamlessly. Think of it as your production-ready safety net - it takes your Dify apps from dev to prod without the usual headaches of crashes, security vulnerabilities, or surprise bills that can sink your project.
This comprehensive guide will walk you through the process of integrating Dify with TrueFoundry's AI Gateway, a powerful combination that will unlock enterprise-grade features for your AI applications. We'll also delve into the strategic importance of using an AI gateway and how it can help you build a secure, scalable, and cost-effective AI ecosystem.
Why Your Dify Applications Need an AI Gateway
Let's be honest - ai dify apps are great for getting started, but production is a different game. Here's what changes when you add TrueFoundry AI Gateway to the mix:
Get Complete Control Over Costs
- Want to dify track usage across all your apps? The gateway gives you real-time dashboards showing exactly how much you're spending
- Set budgets for different teams or projects
- Get alerts before you blow through your monthly AI budget
- See which models are costing you the most money
Lock Down Security Without Breaking Things
- Add role-based access control - only the right people can use expensive models
- Automatically remove sensitive data from prompts before they hit the AI models
- Keep detailed audit logs of who asked what and when
- Deploy on-premises or in your own cloud for maximum security
Never Go Down When AI Providers Have Issues
- If OpenAI is having problems, automatically switch to Claude or another provider
- Load balance requests across multiple regions
- Retry failed requests automatically
- Keep your dify completion mode apps fast and responsive
Future-Proof Your AI Stack
- Switch between OpenAI, Anthropic, Groq, or any other provider without changing a single line of code in Dify
- Test new models without rebuilding your apps
- This is what modern dify mlops looks like in practice

How to Integrate Dify with TrueFoundry's AI Gateway: A Step-by-Step Guide
Integrating Dify with TrueFoundry's AI Gateway is a simple process that can be completed in just a few steps. Here's a detailed walkthrough:
- Generate Your TrueFoundry Access Token:
- Log in to your TrueFoundry dashboard and navigate to the Access Management section.
- Click on New Personal Access Token to generate a new token.
- Copy the token and store it in a secure location. You'll need it to configure Dify.
- Access Dify Model Provider Settings:
- Log in to your Dify workspace.
- Go to Settings and then select your Model Provider.

- Install the OpenAI-API-Compatible Provider:
- In the Model Provider section, search for OpenAI-API-compatible and click on Install.
- Now, you'll need to configure the provider with your TrueFoundry details.
- Get Configuration Details from TrueFoundry:
- Navigate to your TrueFoundry AI Gateway to get the correct model identifier.
- You'll also need to get the API endpoint URL from the unified code snippet provided by TrueFoundry.

- Configure and Test Your Integration:
In the OpenAI-API-compatible provider settings in Dify, enter the following information:
- Model Name: Your TrueFoundry model ID (e.g., openai-main/gpt-4o)
- Model display name: A display name for the model (e.g., Gpt-4o)
- API Key: Your TrueFoundry Personal Access Token
- API endpoint URL: Your TrueFoundry Gateway base URL
- model name for API endpoint: The endpoint model name (e.g., chatgpt4.0)
- Completion mode: Select Chat

- Click on Save to apply the configuration.
- Create a new application or workflow in Dify and test the integration by sending a request to the model.

That's it! You've successfully integrated Dify with TrueFoundry's AI Gateway. You can now start building powerful AI applications with the peace of mind that comes with enterprise-grade governance and management.
Real-World Use Cases
Let's look at how different types of teams use this setup:
News and Content Teams
If you're building dify ai news bots or content generators, the gateway helps you:
- Load balance across regions so responses stay fast during traffic spikes
- Set rate limits to prevent runaway costs when a story goes viral
- Switch models based on content type (use cheaper models for summaries, premium models for original writing)
Customer Support Teams
For customer service chatbots:
- Automatically strip out customer personal info before sending prompts to AI models
- Keep detailed logs for compliance audits
- Fail over to backup models when your primary provider is having issues
Engineering Teams
For internal AI assistants and code helpers:
- Mix expensive cloud models with cheaper self-hosted options
- Give different access levels to junior vs senior developers
- Track which teams are using AI the most
Advanced Features You Should Know About
MLOps Integration
The gateway becomes your central nervous system for dify mlops. You can:
- A/B test different models without touching your Dify apps
- Gradually roll out new models to a subset of users
- Monitor quality metrics across all your AI interactions
Infrastructure as Code
For teams running a serious dify labs ai infrastructure stack, you can configure everything through APIs:
- Automate model deployments
- Set up monitoring and alerting programmatically
- Integrate with your existing DevOps workflows
Getting Started Checklist
Ready to set this up? Here's your quick checklist:
- Create TrueFoundry account and generate access token
- Note down your gateway base URL and model IDs
- Install OpenAI-API-compatible provider in Dify
- Configure the connection with your token and base URL
- Test with a simple chat interaction
- Set up basic budgets and alerts in TrueFoundry
- Monitor dify logging and gateway analytics
- Configure fallback models for reliability
The Bottom Line
Combining Dify with TrueFoundry AI Gateway gives you the best of both worlds:
- Keep Dify's simplicity for building and iterating on AI apps
- Add enterprise-grade infrastructure for security, reliability, and cost control
- Future-proof your stack so you can adapt as AI technology evolves
This isn't just about connecting two tools - it's about building AI applications that can handle real business requirements. Whether you're processing thousands of customer support tickets or generating content for millions of readers, this combination gives you the foundation to scale confidently.
Want to get started? Create your TrueFoundry account, follow our quick start guide along with the setup steps above, and you'll have a production-ready AI stack running in about 15 minutes. No complex migrations, no code rewrites - just better performance, security, and control for your AI applications.
Built for Speed: ~10ms Latency, Even Under Load
Blazingly fast way to build, track and deploy your models!
- Handles 350+ RPS on just 1 vCPU — no tuning needed
- Production-ready with full enterprise support
TrueFoundry AI Gateway delivers ~3–4 ms latency, handles 350+ RPS on 1 vCPU, scales horizontally with ease, and is production-ready, while LiteLLM suffers from high latency, struggles beyond moderate RPS, lacks built-in scaling, and is best for light or prototype workloads.