Generate multilingual chat completions via Sarvam AI's OpenAI-compatible API.
npx skills add https://github.com/abhishekmmgn/didactic-invention --skill chat-abhishekmmgn
Please help me install this Agent Skill. Skill: chat Source: https://github.com/abhishekmmgn/didactic-invention/tree/main/.agents/skills/chat Command: npx skills add https://github.com/abhishekmmgn/didactic-invention --skill chat-abhishekmmgn
Chat completions using Sarvam AI LLMs (Sarvam-105B, Sarvam-30B). Handles AI chat, text generation, reasoning, coding, and multilingual conversations in Indian languages. OpenAI-compatible API. Use when building chatbots, Q&A systems, agents, or any LLM feature targeting Indian users.
Call the Sarvam API's chat.completions with model sarvam-30b and a user message to obtain a reply.
High-intent search queries and answers about installing and using this skill.
You can implement multilingual chat completions for Indian languages by calling the Sarvam AI API at https://api.sarvam.ai/v1. This OpenAI-compatible endpoint uses header-based authentication with an api-subscription-key to process conversational AI requests.
For complex reasoning and agentic workflows, use the sarvam-105b model with its 128K context window. For real-time chat and conversational AI, sarvam-30b with a 64K context is recommended, while sarvam-30b-16k suits lightweight deployments.
Yes, streaming support is available when using Sarvam AI LLMs for chat completions. This allows you to stream live conversational AI responses directly through the OpenAI-compatible API surface to your chatbot or Q&A system.
No specific dependencies or components are required to use the Sarvam AI chat completions API. You simply need to authenticate via the api-subscription-key header and direct your requests to the base URL to generate multilingual text.
The most cost-efficient approach for lightweight conversational features is using the sarvam-30b-16k model with its 16K context window. Alternatively, sarvam-105b-32k offers a 32K context for cost-efficient deployments requiring more capacity.
You authenticate API requests for Q&A systems by including the api-subscription-key in your HTTP headers. This header-based authentication method secures your calls to the Sarvam AI base URL for generating chat completions.
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