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Description

Cheaper Inference serves as an API gateway compatible with OpenAI, enabling users to access various AI models from different providers through a unified API key, thus eliminating the need for any changes in request formatting. Developers have the flexibility to switch providers simply by updating the base URL and API key while retaining the same model, messages, tools, streaming configurations, and response management. This service accommodates both text and image models, facilitates vision-enabled chat requests, offers streaming capabilities, includes prompt caching, provides reasoning controls, and allows temporary image uploads for more extensive vision data. Each request can have its model selected individually, and users can filter the catalog based on model type, vision capabilities, reasoning options, streaming availability, or provider identity. The system includes automatic retries to manage network disruptions and provider errors, with fallback routes available for eligible requests to prevent failures. Additionally, every request is documented in the History section, allowing teams to track request volume, token consumption, and overall operational activity, ensuring comprehensive oversight and management of AI interactions. This transparency assists in optimizing usage and understanding patterns over time.

Description

Kubbi serves as a secure handoff layer specifically designed for AI agents, facilitating the secure transmission of data, files, and execution results among various systems, agents, or individuals via temporary, encrypted claim links. Rather than transmitting sensitive information directly through workflows, prompts, or logs, kubbi empowers a producer to generate a payload that encapsulates content or packaged files, assigns a time-to-live, and creates a unique claim URL for sharing with the next participant in the workflow. The recipient can then access the payload at their convenience, with the option for the data to either automatically expire or be permanently deleted according to predefined retrieval limits. This methodology significantly minimizes the risk of sensitive data exposure across systems and inhibits any unintentional logging, caching, or replaying of that information. Furthermore, kubbi is versatile, accommodating various use cases like the transfer of configuration files, datasets, reports, tokens, and any other transient or sensitive data that should not persist within systems. By implementing such a secure transfer process, kubbi enhances data integrity and confidentiality throughout the entire workflow.