Provide OpenAI-compatible chat completions for DeepSeek, GLM, Kimi, and GPT OSS models.
npx skills add https://github.com/obulai/obul-apis --skill obul-baseten
Please help me install this Agent Skill. Skill: obul-baseten Source: https://github.com/obulai/obul-apis/tree/main/skills/obul-baseten Command: npx skills add https://github.com/obulai/obul-apis --skill obul-baseten
This Skill provides access to high-performance, OpenAI-compatible LLMs for advanced text generation and reasoning tasks, abstracting away the complexities of direct API integration.
Use the obul-baseten skill to get chat completions with the deepseek-ai/DeepSeek-V3.1 model.
High-intent search queries and answers about installing and using this skill.
You can get OpenAI-compatible chat completions for DeepSeek and Kimi models by using the Obul proxy, which supports standard endpoints for high-performance LLM inference and streaming responses.
Yes, you can process long context documents up to 262k tokens for reasoning tasks. The inference endpoint supports large context windows specifically tuned for complex reasoning and analyzing lengthy documents.
Yes, you need an API key to use the OpenAI-compatible proxy for LLM inference. The system requires the OBUL_API_KEY environment variable to be set for authenticating your chat completion requests.
Yes, the Obul proxy supports tool calling and streaming responses for AI agents. These features enable agents to interact with external functions and receive real-time output for interactive applications.
The best way to integrate GLM and GPT OSS models into existing OpenAI workflows is via an OpenAI-compatible API endpoint, which abstracts away direct integration complexities and allows seamless interaction.
Limitations when using the Obul proxy for high-performance LLM inference include being restricted to the available models like DeepSeek, GLM, Kimi, and GPT OSS, and a maximum context window of 262k tokens.
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