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features
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support

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Description

LiteLLM serves as a comprehensive platform that simplifies engagement with more than 100 Large Language Models (LLMs) via a single, cohesive interface. It includes both a Proxy Server (LLM Gateway) and a Python SDK, which allow developers to effectively incorporate a variety of LLMs into their applications without hassle. The Proxy Server provides a centralized approach to management, enabling load balancing, monitoring costs across different projects, and ensuring that input/output formats align with OpenAI standards. Supporting a wide range of providers, this system enhances operational oversight by creating distinct call IDs for each request, which is essential for accurate tracking and logging within various systems. Additionally, developers can utilize pre-configured callbacks to log information with different tools, further enhancing functionality. For enterprise clients, LiteLLM presents a suite of sophisticated features, including Single Sign-On (SSO), comprehensive user management, and dedicated support channels such as Discord and Slack, ensuring that businesses have the resources they need to thrive. This holistic approach not only improves efficiency but also fosters a collaborative environment where innovation can flourish.

Description

TensorZero serves as an open-source platform for LLMOps, seamlessly integrating an LLM gateway, observability, evaluation, optimization, and experimentation into a cohesive system. This platform establishes a feedback loop that enhances LLM applications by transforming production metrics and user insights into models and agents that are more intelligent, efficient, and cost-effective. By providing a gateway, TensorZero enables teams to connect once and subsequently access a wide array of leading LLM providers through a singular, consolidated API. This encompasses both API and self-hosted models while offering functionalities such as tool utilization, structured outputs, batch inference, embeddings, multimodal inputs, caching, routing, retries, fallbacks, load balancing, precise timeouts, usage monitoring, customized rate limitations, and protection of provider keys. Developed in Rust, TensorZero prioritizes high performance, ensuring exceptional throughput and minimal latency for production tasks, all while allowing teams the flexibility to implement only the features they require. Its observability component captures inferences and feedback within the user's own database, which can be accessed programmatically or via the open-source user interface. In doing so, TensorZero not only enhances the user experience but also facilitates more effective decision-making through accessible data analytics.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Aleph Alpha Yes 
Amazon SageMaker Yes 
Baseten Yes 
Cerebras Yes 
Cloudflare Workers Yes 
DeepSeek Yes 
Docker Yes 
Gemini Enterprise Yes 
GitHub Yes 
Grok Yes 
Groq Yes 
Hindsight Yes 
Lunary Yes 
MLflow Yes 
NVIDIA NIM Yes 
OpenAI Yes 
Perplexity Yes 
RankGPT Yes 
Replicate Yes 
SambaNova Yes 

Integrations

Aleph Alpha No 
Amazon SageMaker No 
Baseten No 
Cerebras No 
Cloudflare Workers No 
DeepSeek No 
Docker No 
Gemini Enterprise No 
GitHub No 
Grok No 
Groq No 
Hindsight No 
Lunary No 
MLflow No 
NVIDIA NIM No 
OpenAI No 
Perplexity No 
RankGPT No 
Replicate No 
SambaNova No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

LiteLLM

Country

United States

Website

www.litellm.ai/

Vendor Details

Company Name

TensorZero

Founded

2023

Country

United States

Website

github.com/tensorzero/tensorzero

Product Features

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