TensorZero 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.

Pricing

Pricing Starts At:
Free
Free Version:
Yes

Integrations

API:
Yes, TensorZero has an API
No Integrations at this time

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Company Details

Company:
TensorZero
Year Founded:
2023
Headquarters:
United States
Website:
github.com/tensorzero/tensorzero

Media

TensorZero Screenshot 1
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Training Videos
Customer Support
Online Support

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