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NVIDIA just made it ridiculously easy to test some of China’s most powerful AI models. DeepSeek. GLM. Kimi. MiniMax. Grab an NVIDIA API key, connect a supported model to Hermes Agent, and you’ve got one seriously powerful AI workflow. 🤖 Build projects 🔎 Research competitors 🎯 Find leads ⚡ Automate repetitive work 💻 Run agentic workflows Hermes is open source, and NVIDIA-hosted models can make experimenting with this stack incredibly accessible. We’ve already wired everything into our Agent Operating System. Link in the bio if you want to get access. Here's how so Hermes Agent is the fastest growing agent on the planet. It's got over 200,000 stars on GitHub and it's free. Crazy part, video runs China's top models, DeepSeek, GLM, Kimi, MiniMax on their own super computers and gives you free forever. Into our agentic operating system. Link in the bio if you want. Here's how so Hermes Agent is the fastest growing agent on the planet. It's got over 200,000 stars on GitHub and it's free. Crazy part, video runs China's top models, DeepSeek, GLM, Kimi, MiniMax on their own super computers and gives you free forever. Into our agentic operating system. Link in the bio if you want. Python from OpenAI import OpenAI import os import sys _USE_COLOR = sys.stdout.isatty() and os.getenv("NO_COLOR") is None _REASONING_COLOR = "\033[90m" if _USE_COLOR else "" _RESET_COLOR = "\033[0m" if _USE_COLOR else "" client = OpenAI( base_url = "https://integrate.api.nvidia.com/v1", api_key = "$NVIDIA_API_KEY" ) completion = client.chat.completions.create( top_p=1, max_tokens=16384, stream=True, for chunk in completion: if getattr(chunk, "choices", None) == None or len(chunk.choices) == 0 or getattr(chunk.choices[0], "delta", None) == None: continue delta = chunk.choices[0].delta if getattr(delta, "content", None) is not None: print(delta.content, end="") Please do not upload any confidential information or personal data (such as voice or images). Deploy Ready to scale? Choose your deployment path.