Sold by: LiteLLMÂ
OpenAI Proxy Server (LLM Gateway) to call 100+ LLM APIs using the OpenAI format Bedrock, Huggingface, VertexAI, TogetherAI, Azure OpenAI, OpenAI, etc. Get started with Opensource LiteLLM here: https://github.com/BerriAI/litellm (12,000+ Github Stars)
Overview
With LiteLLM Proxy Server, you'll get access to a Proxy Server to call 100+ LLMs in a unified interface where you'll be able to track spend, set budgets per virtual key and users.
You'll be able to set budgets & rate limits per project, API key, and model on OpenAI Proxy Servers.
You can also translate inputs to the provider's completion, embedding, and image_generation endpoints as well as retry/fallback logic across multiple LLM deployments.
Highlights
- Call 100+ LLM APIs in OpenAI format https://docs.litellm.ai/docs/providers
- Track metrics on Prometheus and send logs to s3, GCS Bucket, Langfuse, OpenTelemetry, Datadog https://docs.litellm.ai/docs/proxy/logging
- Get started with Opensource LiteLLM here: https://github.com/BerriAI/litellm (12,000+ Github Stars)
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Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
LiteLLM Enterprise | All features under LiteLLM Enterprise License, SSO sign on, Feature Prioritization, Proffesional Support, Custom SLAs | $30,000.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
For dedicated support, please send an email to support@berri.aiÂ
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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API Compatibility
Supports calling 100+ Large Language Model APIs using a unified OpenAI-compatible interface
Metrics and Logging
Enables tracking metrics through Prometheus and supports log transmission to multiple observability platforms
Multi-Provider Integration
Provides translation and compatibility for completion, embedding, and image generation endpoints across different LLM providers
Budget and Rate Control
Implements configurable budget and rate limit settings at project, API key, and model levels
Fallback Mechanism
Supports retry and fallback logic across multiple Large Language Model deployments
Prompt Engineering
Side-by-side comparative analysis of prompts, parameters, models, and model providers across test case banks
Workflow Automation
Prototype and deploy AI workflows integrating business logic, data, APIs, and dynamic prompts for multiple use cases
Model Evaluation
Create comprehensive test case repositories to evaluate and identify optimal prompt and model combinations across diverse scenarios
Request Tracking
Reliable proxy mechanism for connecting applications and model providers with comprehensive request tracking for debugging and quality monitoring
Contextual Search
Advanced document retrieval system enabling company-specific data integration as context for large language model interactions
AI Gateway
Centralized control and routing mechanism for managing AI application interactions across multiple models
Observability
Comprehensive monitoring and tracking system for AI application performance and interactions
Prompt Management
Advanced configuration and control system for managing AI model input prompts and responses
Security Compliance
Multi-standard security compliance including ISO, SOC2, HIPAA, and GDPR certification frameworks
Model Load Balancing
Dynamic routing and distribution of AI requests across different language models for optimal performance
Standard contract
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