Zed is a next-generation code editor engineered for high-performance collaboration between developers and AI. Integrating Portkey with Zed allows you to secure, observe, and govern your LLM workflows with enterprise-grade control. This guide walks through setting up Portkey as the gateway for all your Zed requests, enabling centralized monitoring, caching, cost control, and compliance.

Why Integrate Portkey with Zed?

  • Unified AI Gateway - Single interface for 1600+ LLMs with API key management. (not just OpenAI & Anthropic)
  • Centralized AI observability: Real-time usage tracking for 40+ key metrics and logs for every request
  • Governance - Real-time spend tracking, set budget limits and RBAC in your Zed setup
  • Security Guardrails - PII detection, content filtering, and compliance controls

If you are an enterprise looking to use Zed in your organisation, check out this section.

1. Setting up Portkey

Portkey allows you to use 1600+ LLMs with your Zed setup, with minimal configuration required. Let’s set up the core components in Portkey that you’ll need for integration.

1

Create an Integration

Navigate to the Integrations section on Portkey’s Sidebar. This is where you’ll connect your LLM providers.

  1. Find your preferred provider (e.g., OpenAI, Anthropic, etc.)
  2. Click Connect on the provider card
  3. In the “Create New Integration” window:
    • Enter a Name for reference
    • Enter a Slug for the integration
    • Enter your API Key and other provider specific details for the provider
  4. Click Next Step

In your next step you’ll see workspace provisioning options. You can select the default “Shared Team Workspace” if this is your first time OR chose your current one.

2

Configure Models

On the model provisioning page:

  • Leave all models selected (or customize)
  • Toggle Automatically enable new models if desired

Click Create Integration to complete the integration

3

Copy the Provider Slug

Once your Integration is created:

  1. Go to Model CatalogAI Providers tab
  2. Find your integration
  3. Copy the slug (e.g., openai-dev)

This slug is your provider’s unique identifier - you’ll need it for the next step.

4

Create Default Config

Portkey’s config is a JSON object used to define routing rules for requests to your gateway. You can create these configs in the Portkey app and reference them in requests via the config ID. For this setup, we’ll create a simple config using your provider (OpenAI) and model (gpt-4o).

  1. Go to Configs in Portkey dashboard
  2. Create new config with:
    {
        "virtual_key": "YOUR_PROVIDER_SLUG", //your provider slug from previous step
        "override_params": {
          "model": "gpt-4o" // Your preferred model name exact string
        }
    }
    
  3. Save and note the Config ID & Name for the next step
5

Configure Portkey API Key

Finally, create a Portkey API key:

  1. Go to API Keys in Portkey
  2. Create new API key
  3. Select the config that you create from previous step
  4. Generate and save your API key

Save your API key securely - you’ll need it for Zed integration.

🎉 Voila, Setup complete! You now have everything needed to integrate Portkey with your application.

2. Integrated Portkey with Zed

You will need your Portkey API key created in Step 1 for this integration

Portkey is an OpenAI compatible API, which means it can be easily integrated with zed without any changes to your setup. Here’s how you do it

  1. Open Settings.json in Zed using Command Palette (cmd-shift-p / ctrl-shift-p) and run zed: open settings Add the following configuration to your settings.json file: This configuration will allow you to use Portkey’s GPT-4o model in Zed. You can change the model according to your virtual key setup in step 1.ll power of GPT-4o. Configure Zed Update your settings.json in Zed:

    {
      "language_models": {
        "openai": {
          "api_url": "https://api.portkey.ai/v1",
          "available_models": [
            {
              "name": "gpt-4o", // choose the model you want to use according to your virtual key setup
              "display_name": "Portkey-Model", // you can change this to any name
              "max_tokens": 131072 // this is a required field
            }
          ],
          "version": "1"
        }
      }
    }
    
  2. Add API Key to Zed

    • Open Command Palette (cmd-shift-p / ctrl-shift-p)
    • Run “assistant: show configuration”
    • Add your Portkey API key under OpenAI configuration

3. Set Up Enterprise Governance for Zed

Why Enterprise Governance? If you are using Zed inside your orgnaization, you need to consider several governance aspects:

  • Cost Management: Controlling and tracking AI spending across teams
  • Access Control: Managing team access and workspaces
  • Usage Analytics: Understanding how AI is being used across the organization
  • Security & Compliance: Maintaining enterprise security standards
  • Reliability: Ensuring consistent service across all users
  • Model Management: Managing what models are being used in your setup

Portkey adds a comprehensive governance layer to address these enterprise

Enterprise Implementation Guide

Portkey Features

Now that you have enterprise-grade Zed setup, let’s explore the comprehensive features Portkey provides to ensure secure, efficient, and cost-effective AI operations.

1. Comprehensive Metrics

Using Portkey you can track 40+ key metrics including cost, token usage, response time, and performance across all your LLM providers in real time. You can also filter these metrics based on custom metadata that you can set in your configs. Learn more about metadata here.

2. Advanced Logs

Portkey’s logging dashboard provides detailed logs for every request made to your LLMs. These logs include:

  • Complete request and response tracking
  • Metadata tags for filtering
  • Cost attribution and much more…

3. Unified Access to 1600+ LLMs

You can easily switch between 1600+ LLMs. Call various LLMs such as Anthropic, Gemini, Mistral, Azure OpenAI, Google Vertex AI, AWS Bedrock, and many more by simply changing the virtual key in your default config object.

4. Advanced Metadata Tracking

Using Portkey, you can add custom metadata to your LLM requests for detailed tracking and analytics. Use metadata tags to filter logs, track usage, and attribute costs across departments and teams.

Custom Metata

5. Enterprise Access Management

6. Reliability Features

7. Advanced Guardrails

Protect your Project’s data and enhance reliability with real-time checks on LLM inputs and outputs. Leverage guardrails to:

  • Prevent sensitive data leaks
  • Enforce compliance with organizational policies
  • PII detection and masking
  • Content filtering
  • Custom security rules
  • Data compliance checks

Guardrails

Implement real-time protection for your LLM interactions with automatic detection and filtering of sensitive content, PII, and custom security rules. Enable comprehensive data protection while maintaining compliance with organizational policies.

FAQs

Next Steps

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For enterprise support and custom features, contact our enterprise team.