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GuidesJune 17, 2026 · 24 min read

Use Groq GPT-OSS 120B with the OpenAI SDK: Base URL, Pricing, and Caching

Swap one OpenAI SDK base URL to run GPT-OSS 120B on Groq, estimate cached token costs, and avoid tool billing surprises.

Developer migration diagram on an off-white background: an OpenAI SDK code window on the left, a Gemini API endpoint card on the right, and three terracotta connector lines in the middle labeled base_url, API Key, and model, with small charcoal icons representing Python and TypeScript
GuidesJune 14, 2026 · 9 min read

Calling the Gemini API with the OpenAI SDK: A Migration Guide Changing Only base_url, API Key, and Model Name

A Gemini-compatible API migration checklist for existing OpenAI SDK projects, with code, parameter mapping, and pricing.

Developer integration diagram on an off-white background: a charcoal code window on the left with three configuration lines—base_url, api_key, and model—highlighted in terracotta; a Gemini API cloud node on the right; thin arrow lines connecting them; small pricing cards and SDK icon blocks at the bottom; no logos, no
GuidesJune 14, 2026 · 9 min read

Calling the Gemini API with the OpenAI SDK: An Integration Guide Requiring Only base_url, Key, and Model Name Changes

Connect existing OpenAI SDK code to Gemini with minimal changes to just three configuration fields.

Developer workstation illustration on an off-white background, with an OpenAI SDK code card on the left and a Gemini model card on the right. A terracotta arrow in the center highlights the three changes: base_url, API Key, and model, connected by thin charcoal-gray lines, styled like a tech magazine cover.
GuidesJune 14, 2026 · 11 min read

Calling Gemini with the OpenAI SDK: Integration Guide by Changing Only base_url, API Key, and Model Name

Google now supports an OpenAI-compatible API, letting you connect to Gemini by changing base_url, the API key, and the model name.

Developer API migration illustration on an off-white background: a charcoal OpenAI SDK code card on the left, a terracotta base_url switch in the center, and a Gemini 3.5 Flash model card on the right, with small price tags below showing input $1.50/M and output $9.00/M overall
GuidesJune 14, 2026 · 10 min read

Calling the Gemini API with the OpenAI SDK: How to Configure base_url, Model Names, and Gemini 3.5 Flash Pricing

Migrate an existing OpenAI SDK project to Gemini with minimal changes while avoiding pitfalls in reasoning, streaming, and tool calls.

A developer migration roadmap on an off-white background: gray cards for the legacy models deepseek-chat/deepseek-reasoner on the left, arrows pointing to two terracotta cards on the right labeled deepseek-v4-flash and deepseek-v4-pro, with a branch below for Ope
GuidesJune 14, 2026 · 12 min read

Migrating the DeepSeek API to deepseek-v4-flash / deepseek-v4-pro: Choosing Between OpenAI- and Anthropic-Compatible Formats

Migrate to DeepSeek V4 API in one pass, from legacy model names and Base URLs to reasoning mode and cost estimates.