Velvet AI Gateway is a powerful tool designed for engineers and developers who are leveraging OpenAI and Anthropic APIs. This innovative product allows you to warehouse every AI request to your PostgreSQL database, providing a comprehensive solution for logging, analyzing, and optimizing your AI usage. With just two lines of code, you can install the proxy and start taking control of your data. Velvet is free to get started, ensuring that you own and manage your data effectively.

**How it Works**
Velvet operates as a seamless gateway between your applications and AI models. It logs every request, including custom metadata, and stores this data in a PostgreSQL database. This enables you to granularly query usage and costs, evaluate models, and generate datasets for further analysis and fine-tuning. The system supports caching and batching, which significantly reduces costs and latency, making it an efficient solution for production environments.

**Trusted by Innovative Startups**
Velvet has garnered trust from various innovative startups who have found it invaluable for their AI operations. For instance, Chirag Mahapatra from an unnamed startup appreciates how Velvet simplifies logging and caching, allowing them to store training sets for fine-tuning their models. Mehdi Djabri highlights Velvet's role in providing a source of truth for interactions between their product copilot and LLMs, aiding in evaluations, cost calculations, and issue resolution. Philip Thomas notes the daily utility of Velvet for monitoring AI features in production, reducing costs through caching, and fine-tuning using logs.

**Features that Save Engineering Cycles**
Velvet offers a range of features that streamline AI operations and save valuable engineering time:
- **Warehouse Requests:** Log every request with custom metadata to your database.
- **Analyze Usage & Costs:** Store data as a JSON object for granular querying.
- **Cache Requests:** Return identical results quickly, reducing costs and latency.
- **Batch Jobs:** Access extra data for querying each file inside the batch.
- **Generate Datasets:** Export datasets for batch or fine-tuning workflows.
- **AI SQL Editor:** Automate SQL queries on large datasets.

**Common Use Cases**
Velvet is versatile and can be used for various purposes, including:
- **Analyzing Model Usage:** Query logs to understand usage patterns, troubleshoot issues, calculate costs, and evaluate models.
- **Optimizing AI Features:** Enable caching and batching to reduce costs and latency, and test different prompts and models.
- **Preparing Datasets:** Generate training sets for fine-tuning and use the batch API for evaluations, classification, or embeddings.
- **Switching Between Models:** Test and try different models without losing data, reducing platform lock-in by warehousing requests.

**Support and Documentation**
Velvet supports OpenAI and Anthropic endpoints and warehouses requests to PostgreSQL. For custom requirements, the team is open to adding features to their roadmap. Detailed documentation is available, and the team can be contacted for further inquiries or to schedule a call to learn more about how Velvet can benefit your AI operations.

**Articles from Velvet**
Velvet also provides insightful articles that highlight its capabilities, such as logging AI requests, creating fine-tuning datasets, and caching LLM requests to reduce latency and costs. These articles further demonstrate the practical applications and benefits of using Velvet in AI-powered projects.

In summary, Velvet AI Gateway is a comprehensive solution for managing and optimizing AI requests, offering features that are essential for efficient AI operations. Its ease of integration, detailed logging capabilities, and support for caching and batching make it an invaluable tool for any developer or engineer working with AI models.

Velvet

Ultra AI is an advanced all-in-one AI command center designed to seamlessly integrate into your product ecosystem, offering a comprehensive suite of tools that enhance the efficiency, reliability, and performance of AI functionalities. This innovative platform is equipped with a Multi-provider AI gateway, Prompts manager, Semantic caching, Logs & analytics, Model fallbacks, and Rate limiting, among other features, ensuring a robust and versatile AI experience for your users.

The Multi-provider AI gateway of Ultra AI is a standout feature, providing compatibility with a wide array of AI providers, all while maintaining full compatibility with Open AI. This means that developers can leverage the same Open AI package to call any supported provider, simplifying the integration process and enhancing flexibility. The gateway ensures that your product remains adaptable and future-proof, accommodating new AI technologies as they emerge.

Ultra AI's Prompts manager is another powerful tool, designed to streamline the management and utilization of dynamic prompts. This feature simplifies the often complex task of prompt management, making it more accessible and efficient. With Ultra AI, you can easily create, modify, and deploy prompts, ensuring that your AI interactions are both effective and engaging.

Semantic caching is a game-changer for optimizing API costs. Ultra AI allows you to save up to 10 times on your API expenses by implementing intelligent caching mechanisms. The platform offers both Simple and Similarity Caching options, tailored to fit your specific use case. Additionally, per-request configuration and adjustable thresholds provide fine-grained control over caching behavior, ensuring optimal performance and cost-efficiency.

Logs & analytics are integral to the Ultra AI platform, offering comprehensive monitoring and decision-making capabilities. With detailed logs and insightful analytics, you can quickly identify trends, troubleshoot issues, and make informed decisions to enhance the performance of your AI functionalities. This feature ensures that your product remains responsive and adaptable in a dynamic market environment.

Model fallbacks and Rate limiting are additional protective measures provided by Ultra AI. Model fallbacks ensure uninterrupted service by automatically switching to备用 models in case of primary model failures, maintaining the reliability of your AI services. Rate limiting, on the other hand, helps prevent abuse and protect your product by setting custom limits for each user, with flexible time frames ranging from minutes to years. This feature safeguards your product against potential threats and ensures a fair usage policy for all users.

Ultra AI is offered in multiple pricing tiers to cater to varying needs and budgets. The Free Beta tier provides 10,000 requests per month, while the Pro tier offers 100,000 requests and includes priority support. For those requiring even higher capacities, the Enterprise tier provides 1,000,000 requests per month, along with all the features available in the Pro tier. This flexible pricing model ensures that you pay only for what you need, making Ultra AI an affordable and scalable solution for your AI integration needs.

In summary, Ultra AI is a fast, beautiful, and affordable AI command center that offers a comprehensive suite of tools to enhance the AI capabilities of your product. With features like Multi-provider AI gateway, Prompts manager, Semantic caching, Logs & analytics, Model fallbacks, and Rate limiting, Ultra AI ensures that your product remains at the forefront of AI innovation. Start for free today and experience the power of Ultra AI in your product.

Ultra AI

Evidently AI is an innovative open-source framework designed to evaluate, test, and monitor AI-powered applications, ensuring their performance and reliability across various stages of development and deployment. With over 100 built-in checks ranging from classification to Retrieval-Augmented Generation (RAG), Evidently AI provides comprehensive insights and monitoring capabilities both offline and in live environments. This versatile tool allows users to easily add custom metrics and Large Language Model (LLM) judges, enhancing its adaptability to specific needs.

Evidently AI

Introducing Weavel, the revolutionary AI-powered platform that transforms prompt engineering. Weavel is designed to automate the process of creating and optimizing prompts, delivering results 50 times faster than human effort. With Weavel, you can enhance the accuracy of your prompts by an average of 20% in just under 5 minutes. This breakthrough technology is powered by Ape, the first AI prompt engineer, which is equipped with advanced capabilities such as tracing, dataset curation, batch testing, and evaluations.

Weavel

Keywords AI is a revolutionary platform that empowers AI startups to build better AI products with complete observability. With its unified developer platform, developers can seamlessly build, deploy, and scale their LLM applications with ease. Whether you're a beginner or an experienced developer, Keywords AI provides every feature you need to streamline your application development process.

One of the standout features of Keywords AI is its powerful LLM observability capabilities. Similar to Datadog, Keywords AI offers comprehensive monitoring and logging tools that allow you to visualize and log every user session. With beautiful pre-built dashboards, you can monitor every LLM metric and request log, providing you with valuable insights to optimize your app's performance.

Built specifically for developers, Keywords AI offers a unified interface for any model, saving you hours of building custom API clients. Say goodbye to rate limits and latency issues, as Keywords AI allows you to make hundreds of concurrent calls without any impact on performance. Its dead simple integration with OpenAI requires just two lines of code change, making it effortless to integrate into your existing codebase.

Keywords AI understands the importance of scalability, and that's why it provides a one-stop DevOps platform for the entire LLM development lifecycle. From MVP to production, you can rely on Keywords AI to handle the complexities of scaling your application. With its built-in infrastructure and easy deployment process, you can focus on building a product that people love.

Testing and experimenting with models has never been easier with Keywords AI. Its playground and prompt management features allow you to run experiments effortlessly. You can conduct A/B tests from the intuitive UI and fine-tune your models to optimize their performance. Keywords AI also offers production performance monitoring with auto-evaluations, helping you improve user experiences and ensure the success of your AI application.

Collecting data for optimization is made simple with Keywords AI. Its powerful toolkit enables you to collect datasets from production seamlessly. This data-driven approach allows you to easily fine-tune your models and continuously improve their performance. Keywords AI empowers you to iterate, analyze, and optimize your AI products, giving you a competitive edge in the market.

Integrating Keywords AI into your workflow is a breeze. You can integrate within minutes with its easy OpenAI style API call. The platform fits right into your codebase, allowing you to switch without the hassle of rewriting code. With Keywords AI, you can start building better AI products today and receive $15 free credits to get you started.

Join the ranks of the world's best AI startups and experience the beautiful, lightweight, and powerful platform that is Keywords AI. Get started now and unlock the full potential of your LLM applications.

Velvet

Related Categories - Velvet

AI Logging and Monitoring

Cost Optimization

Data Management

Model Evaluation

Caching and Batching

Key Features of Velvet

Warehouse requests

Analyze usage & costs

Cache requests

Batch jobs

Generate datasets

Target Users of Velvet

Engineers using OpenAI and Anthropic APIs

AI product managers

Data scientists

Startups focused on AI development

Target User Scenes of Velvet

As an AI product manager, I want to analyze the usage and costs of our AI models using detailed logs, so that I can make informed decisions on model selection and optimization

As an engineer, I want to easily warehouse every AI request to our PostgreSQL database with minimal code changes, so that I can maintain a comprehensive record of our AI interactions

As a data scientist, I want to generate and export datasets for fine-tuning AI models, so that I can improve the performance and accuracy of our AI features

As a startup founder, I want to enable caching and batching of AI requests to reduce costs and latency, so that I can optimize the efficiency of our AI-driven applications

As an AI developer, I want to switch between different AI models without losing data, so that I can test and implement the best model for our specific needs.

Velvet Alternatives

Velvet

AI Logging and Monitoring

Ultra AI

AI Command Center

Evidently AI

AI Observability

Weavel

AI Prompt Engineering

Keywords AI

LLM platform