Build agents with the Bridgic Amphibious dual-mode framework — combining LLM-driven (agent) and deterministic (workflow) execution with automatic fallback and human-in-the-loop support. Use when: (1) writing code that imports from bridgic.amphibious, (2) creating AmphibiousAutoma subclasses, (3) defining…
Use for any task requiring a real browser: viewing web pages, accessing login-gated sites, operating web UIs, scraping social media (Xiaohongshu/Weibo/Twitter/X, etc.), reading JS-rendered or dynamic pages, bypassing bot detection, form filling, e2e checks, and general web automation. Prefer this over WebFetch…
LLM provider initialization for bridgic projects. Use when: (1) initializing OpenAILlm, OpenAILikeLlm, or VllmServerLlm, (2) configuring OpenAIConfiguration (model, temperature, maxtokens, timeout), (3) choosing the right provider package for a task, (4) using chat/stream interfaces or advanced protocols…