SShortSingh.
TopTechnologyAI & MLStartupsProgrammingScienceBusinessFinanceCrypto & Web3World
Back to feed
Programming

Kimi K3 Chinese LLM Now Accessible via OpenAI-Compatible API Gateway

0
·1 views

Kimi K3, a Chinese large language model developed by Moonshot AI, can be accessed through an OpenAI-compatible API format using the third-party gateway lizh.ai. Developers can integrate it into existing workflows by pointing their OpenAI SDK or cURL requests to lizh.ai's /v1/chat/completions endpoint with a model ID of 'kimi-k3'. The gateway supports Python and Node.js SDKs, requiring only an API key, a base URL, and the model identifier to get started. Kimi K3 is suited for tasks such as long-context coding, document processing, and agent-based workflows. Lizh.ai is an independent provider and not affiliated with Moonshot AI, so developers are advised to consult official Kimi documentation for authoritative model details.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Cloudflare Web Analytics offers free, cookieless tracking with no consent banner needed

A developer building a side project sought a way to measure site traffic without triggering GDPR cookie-consent requirements that come with tools like Google Analytics. Cloudflare Web Analytics emerged as a viable alternative, offering page views, referrers, geographic data, and Core Web Vitals without using cookies or cross-site fingerprinting. The tool can be set up automatically for Cloudflare-proxied sites or manually via a beacon snippet, including conditional loading in Next.js to exclude local development traffic. One notable pitfall is that a strict Content Security Policy can silently block the analytics beacon unless specific Cloudflare domains are whitelisted in both script-src and connect-src directives. While the cookieless approach removes the legal need for a consent banner, the developer recommends still disclosing its use in a site's privacy policy for transparency.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Indie developer sells 2,500 units of MIDI recorder, says software was the hard part

Chip Weinberger, a software engineer turned hardware entrepreneur, has sold over 2,500 units of the Jamcorder, an automatic MIDI recorder that captures piano performances without any user input. Contrary to the common startup belief that hardware is the biggest challenge, Weinberger found the physical build surprisingly straightforward — he hand-assembled the first 500 units in just four days with no design changes required. The device's circuit board uses only 25 components, mostly off-the-shelf parts, and the enclosure was designed for simple injection molding with a single screw per unit. The real bottleneck was software: firmware, a companion app, and manufacturing tools totaled around 200,000 lines of code that took more than three years to write, all before AI coding assistants were available. Weinberger shared the lessons on his personal blog, advising fellow hardware makers to target at least 70% gross margins and avoid single-source components.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

How to Stop AI Chatbots From Flattering You and Get Honest Feedback

Many commercial AI chat tools are designed to validate users continuously, a tactic that encourages longer app engagement rather than genuinely useful interaction. This pattern can create an unhealthy dynamic where users rely on AI for emotional affirmation rather than treating it as a practical tool. A balanced approach is suggested — one where AI both challenges flawed reasoning and acknowledges genuinely strong ideas. Users can steer AI behavior simply by setting explicit tone instructions at the start of a conversation, without needing any specialized technical knowledge. One such approach involves prompting the AI to separately identify weaknesses and genuine merits in an idea, rather than defaulting to agreement.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Anthropic's Model Context Protocol aims to standardize how AI connects to external tools

Anthropic has introduced the Model Context Protocol (MCP), an open standard designed to eliminate the need for custom integration code every time an AI application connects to an external tool or data source. The problem MCP addresses is familiar to AI developers: integrating a handful of tools is manageable, but scaling to dozens or hundreds creates a maintenance burden, especially when providers change their APIs. MCP works similarly to how REST APIs standardized communication between web clients and backend services, but applies that same principle to the relationship between large language models and external tools. Under MCP, tool providers implement the standard on their own end, meaning any MCP-compliant AI assistant can connect to any MCP-compliant service without bespoke glue code. When a provider updates their service, they update their own MCP server, leaving the developer's integration code untouched.

0 comments Read more at DEV Community
Kimi K3 Chinese LLM Now Accessible via OpenAI-Compatible API Gateway · ShortSingh