Configure Bearer-authenticated requests to the Venice API for chat, embeddings, image, audio, and model management.
npx skills add https://github.com/iamcapote/emptyrepo --skill venice
Please help me install this Agent Skill. Skill: venice Source: https://github.com/iamcapote/emptyrepo/tree/main/skills/forged/venice Command: npx skills add https://github.com/iamcapote/emptyrepo --skill venice
Venice AI provides uncensored, private inference for AI applications, enabling developers to run multimodal tasks without exposing data to external, policy-bound endpoints.
Register for an API key and call POST /chat/completions with a sample message.
High-intent search queries and answers about installing and using this skill.
Uncensored AI inference is accessed through the Venice API using Bearer authentication, supporting chat, embeddings, image generation, and audio tasks while keeping user data confidential.
OpenAI-compatible APIs and SDKs support uncensored chat completions and image generation, enabling rapid integration across platforms via a POST request with Bearer authentication.
Private AI inference without exposing data to policy-bound endpoints requires calling the Venice API, which ensures confidential data handling across multimodal tasks including chat and video.
The Venice API supports rate-limiting and model management for software development, defining required request parameters and response formats across multiple endpoints for AI workflows.
To start generating text and audio using an uncensored AI API, register for an API key and call POST /chat/completions with a sample message to test private inference.
Uncensored embeddings and TTS are needed when running multimodal AI applications requiring private data handling and OpenAI-compatible integration without external policy restrictions.
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