AnythingLLM all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more. While AnythingLLM delivers robust chat capabilities, Portkey adds essential enterprise controls for production deployments:

  • 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 AnythingLLM setup
  • Security Guardrails - PII detection, content filtering, and compliance controls

This guide will walk you through integrating Portkey with AnythingLLM and setting up essential enterprise features including usage tracking, access controls, and budget management.

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

1. Setting up Portkey

Portkey allows you to use 1600+ LLMs with your AnythingLLM 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 AnythingLLM integration.

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

2. Integrate Portkey with AnythingLLM

Now that you have your Portkey components set up, let’s connect them to AnythingLLM. Since Portkey provides OpenAI API compatibility, integration is straightforward and requires just a few configuration steps in your AnythingLLM interface.

You need your Portkey API Key from Step 1 before going further.

  1. Launch your AnythingLLM application
  2. Navigate to Settings > AI Providers > LLM
  3. In the LLM Provider dropdown, select Generic OpenAI
  4. Configure the following settings:
    • Base URL: https://api.portkey.ai/v1
    • API Key: Your Portkey API key from the setup
    • Chat Model: Your preferred model name (e.g., gpt-4, claude-2)
    • Token Context Window: Set based on your model’s limits
    • Max Tokens: Configure according to your needs

You can monitor your requests and usage in the Portkey Dashboard.

Make sure your provider has sufficient budget and rate limits for your expected usage. Also use the complete model name given by the provider.

3. Set Up Enterprise Governance for AnythingLLM

Why Enterprise Governance? If you are using AnythingLLM 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

Enterprise Features Now Available

AnythingLLM now has:

  • Departmental budget controls
  • Model access governance
  • Usage tracking & attribution
  • Security guardrails
  • Reliability features

Portkey Features

Now that you have enterprise-grade AnythingLLM 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

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