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d71ace6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | import os
import glob
# The valid template for our models
template = """name: {name}
label: {label}
status: active
input_types:
- text/plain
output_types:
- text/plain
context_size: {context_size}
output_size: 4096
"""
# define context sizes we researched
model_info = {
"llama3-70b.yaml": ("llama3-70b", "Llama 3 70B", 8192),
"claude-3-haiku.yaml": ("anthropic/claude-3-haiku", "Claude 3 Haiku", 200000),
"meta-llama3-70b-instruct.yaml": ("meta/llama3-70b-instruct", "Llama 3 70B Instruct", 8192),
"minimaxai-minimax-m3.yaml": ("minimaxai/minimax-m3", "Minimax M3", 1000000),
"deepseek-ai-deepseek-v4-flash.yaml": ("deepseek-ai/deepseek-v4-flash", "DeepSeek v4 Flash", 1000000),
"deepseek-ai-deepseek-v4-pro.yaml": ("deepseek-ai/deepseek-v4-pro", "DeepSeek v4 Pro", 1000000),
"minimaxai-minimax-m2.7.yaml": ("minimaxai/minimax-m2.7", "Minimax M2.7", 204800),
"nvidia-nemotron-3-ultra-550b-a55b.yaml": ("nvidia/nemotron-3-ultra-550b-a55b", "Nemotron-3 Ultra 550B", 1000000),
"stepfun-ai-step-3.7-flash.yaml": ("stepfun-ai/step-3.7-flash", "Step-3.7 Flash", 256000),
"qwen-qwen3.5-397b-a17b.yaml": ("qwen/qwen3.5-397b-a17b", "Qwen 3.5 397B", 262144),
}
base_path = "c:/Users/LOQ/OneDrive/Desktop/agentscope/src/agentscope/model/"
for folder in ["_groq", "_openrouter", "_nvidia_nim"]:
folder_path = os.path.join(base_path, folder, "_models")
if os.path.exists(folder_path):
for file in os.listdir(folder_path):
if file in model_info:
name, label, context = model_info[file]
content = template.format(name=name, label=label, context_size=context)
with open(os.path.join(folder_path, file), "w", encoding="utf-8") as f:
f.write(content)
print(f"Updated {file}")
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