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Gate.AI full-chain large model management platform upgrade, enhancing unified large model access and enterprise governance capabilities

The trading platform Gate's full-link large model management platform Gate.AI has recently completed an upgrade, launching a one-stop large model routing service for enterprises and developers. The platform is now connected to over 200 mainstream large models worldwide, supporting the two major protocols of OpenAI and Anthropic. Enterprises can access different model resources through a single API, achieving unified access and management, thereby reducing development, operation, and migration costs.Combining intelligent routing and comprehensive enterprise governance, Gate.AI achieves optimal matching of heterogeneous models and high business availability through intelligent routing and an automatic fallback mechanism. In terms of governance and security, the platform has built a multi-level unified management system that includes organizational structure, role permission control, members, and API keys, reinforcing privacy protection with zero data retention (ZDR) and data processing agreements (DPA). Additionally, through refined cost governance measures such as shared quota pools, it helps enterprises achieve efficient, standardized, and transparent operation of AI resources.As an important part of Gate's Intelligent Web3 strategy, Gate.AI is continuously improving the construction of an open AI platform, further promoting the large-scale application of AI in practical business scenarios by connecting global model resources and enterprise-level governance systems. In the future, Gate will continue to deepen its efforts in model access, intelligent routing, enterprise governance, and application innovation, creating a full-link open AI ecosystem to provide long-term support for the intelligent upgrade of global enterprises.

Bitget launches the AI strategy workflow GetAgent Playbook, supporting one-click access to the strategy library

Bitget officially launched the AI trading strategy workflow layer GetAgent Playbook, marking the first time the Agent Harness framework is available to users. Users can select, preview, configure, and launch AI trading strategies from the Agent Playbook strategy library without having to write prompts themselves, all running in an isolated sub-account with auditable operations and transparent processes. Currently, this feature is available to GetAgent Plus and Pro users.Bitget CEO Gracy Chen stated that AI trading is evolving from Q&A to workflows, with prompt configuration being the biggest source of complexity. The Playbook allows users to easily transform trading ideas into Agent runnable and adjustable strategies through a ready-to-use strategy library (Agent Playbook).As of now, Bitget's AI trading tools have attracted over 1 million users, with a cumulative trading volume exceeding $1.2 billion. The Agent Hub covers 9 major modules and 57 tools, supporting read-only mode, simulated trading environments, and Agent exclusive sub-accounts, completely isolating agent operational permissions from the main account, and integrating the entire business chain of spot trading, contracts, copy trading, and wealth management, while exclusively supporting trading of tokenized assets in the US stock market.
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