LibreChat
Cost tracking, observability, and more for LibreChat
Portkey natively integrates with LibreChat and makes your LibreChat deployments production-grade and reliable with our suite of features:
- 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 LibreChat setup
- Security Guardrails - PII detection, content filtering, and compliance controls
This guide will walk you through integrating Portkey with LibreChat and setting up essential enterprise features including usage tracking, access controls, and budget management.
If you are an enterprise looking to use LibreChat in your organisation, check out this section.
1. Setting up Portkey
Portkey allows you to use 1600+ LLMs with your LibreChat setup, with minimal configuration required. Let’s set up the core components in Portkey that you’ll need for integration.
Create Virtual Key
Virtual Keys are Portkey’s secure way to manage your LLM provider API keys. Think of them like disposable credit cards for your LLM API keys, providing essential controls like:
- Budget limits for API usage
- Rate limiting capabilities
- Secure API key storage
To create a virtual key: Go to Virtual Keys in the Portkey App. Save and copy the virtual key ID
Save your virtual key ID - you’ll need it for the next step.
Create Default Config
Configs in Portkey are JSON objects that define how your requests are routed. They help with implementing features like advanced routing, fallbacks, and retries.
We need to create a default config to route our requests to the virtual key created in Step 1.
To create your config:
- Go to Configs in Portkey dashboard
- Create new config with:
- Save and note the Config name for the next step
This basic config connects to your virtual key. You can add more advanced portkey features later.
Configure Portkey API Key
Now create Portkey API key access point and attach the config you created in Step 2:
- Go to API Keys in Portkey and Create new API key
- Select your config from
Step 2
- Generate and save your API key
Save your API key securely - you’ll need it for LibreChat integration.
2. Integrate Portkey with LibreChat
Create the docker-compose-override.yaml
file
Create this file following the instructions here.
This file will point to the librechat.yaml
file where we will configure our Portkey settings (in Step 3).
Configure the .env
file
Edit your existing .env
file at the project root (if the file does not exist, copy the .env.example
file and rename to .env
). We will add:
Edit the librechat.yaml
file
Edit this file following the instructions here. Here, you can either pass your Config (containing provider/model configurations) or direct provider Virtual key saved on Portkey.
LibreChat requires that the API key field is present. Since we don’t need it for the Portkey integration, we can pass a dummy string for it.
If you’re a system admin, and you’re looking to track the costs/user on a centralized instance of LibreChat, here’s a community guide by Tim Manik.
3. Set Up Enterprise Governance for LibreChat
Why Enterprise Governance? If you are using LibreChat inside your orgnaization, you need to consider several governance aspects:
- Cost Management: Controlling and tracking AI spending across teams
- Access Control: Managing which teams can use specific models
- Usage Analytics: Understanding how AI is being used across the organization
- Security & Compliance: Maintaining enterprise security standards
- Reliability: Ensuring consistent service across all users
Portkey adds a comprehensive governance layer to address these enterprise needs. Let’s implement these controls step by step.
Enterprise Implementation Guide
Enterprise Features Now Available
LibreChat now has:
- Departmental budget controls
- Model access governance
- Usage tracking & attribution
- Security guardrails
- Reliability features
Portkey Features
Now that you have enterprise-grade LibreChat 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
Budget Controls
Set and manage spending limits across teams and departments. Control costs with granular budget limits and usage tracking.
Single Sign-On (SSO)
Enterprise-grade SSO integration with support for SAML 2.0, Okta, Azure AD, and custom providers for secure authentication.
Organization Management
Hierarchical organization structure with workspaces, teams, and role-based access control for enterprise-scale deployments.
Access Rules & Audit Logs
Comprehensive access control rules and detailed audit logging for security compliance and usage tracking.
6. Reliability Features
Fallbacks
Automatically switch to backup targets if the primary target fails.
Conditional Routing
Route requests to different targets based on specified conditions.
Load Balancing
Distribute requests across multiple targets based on defined weights.
Caching
Enable caching of responses to improve performance and reduce costs.
Smart Retries
Automatic retry handling with exponential backoff for failed requests
Budget Limits
Set and manage budget limits across teams and departments. Control costs with granular budget limits and usage tracking.
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
Join our Community
For enterprise support and custom features, contact our enterprise team.
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