69 lines
3.5 KiB
Python
69 lines
3.5 KiB
Python
"""HK-compatible public routes on DC1, with separately named official OpenAI API."""
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import os
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from pathlib import Path
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import yaml
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from provider_routes import build_config, namespace_config, add_bailian_routes
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def build_hk_config(catalog, env):
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config = build_config(catalog, env, lambda path: False, namespaced=False)
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config['general_settings'] = {'master_key': 'os.environ/LITELLM_MASTER_KEY'}
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routes = config['model_list']
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routes[:] = [route for route in routes if route['model_name'] != 'gemini-transcribe-personal']
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if env.get('ZENMUX_SUBSCRIPTION_API_KEY'):
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asr_models = {
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'asr-gpt': 'openai/gpt-transcribe',
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'asr-qwen': 'qwen/qwen-audio-3.1-asr-flash',
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'asr-doubao': 'bytedance/doubao-seed-asr-2.0',
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'asr-mimo': 'xiaomi/mimo-v2.5-asr',
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}
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for alias, model in asr_models.items():
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routes.append({'model_name': alias, 'litellm_params': {
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'model': 'openai/' + model,
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'api_key': 'os.environ/ZENMUX_SUBSCRIPTION_API_KEY',
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'api_base': 'https://zenmux.ai/api/v1',
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'max_retries': 0}})
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if env.get('GOOGLE_AI_STUDIO_API_KEY'):
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routes.append({'model_name': 'gemini-transcribe', 'litellm_params': {
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'model': 'gemini/gemini-3.5-transcribe',
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'api_key': 'os.environ/GOOGLE_AI_STUDIO_API_KEY'}})
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if env.get('VERTEXAI_ENABLED', '').lower() == 'true' and env.get('VERTEXAI_PROJECT'):
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routes.append({'model_name': 'gemini-transcribe-personal', 'litellm_params': {
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'model': 'vertex_ai/gemini-3.5-transcribe',
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'vertex_project': 'os.environ/VERTEXAI_PROJECT',
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'vertex_location': 'global',
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'personal_dictation': True}})
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# Keep old client aliases; the old 3.6 alias now follows the verified Flash map.
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legacy = {
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'gemini-3.6-flash': catalog['google_vertex']['gemini-flash-vertex'],
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'gemini-3.5-flash-lite': catalog['google_vertex']['gemini-flash-lite-vertex'],
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'google/gemini-embedding-2': 'gemini-embedding-2',
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'google/gemini-3.8-flash': catalog['google_vertex']['gemini-flash-vertex'],
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}
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for alias, model in legacy.items():
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routes.append({'model_name': alias, 'litellm_params': {
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'model': 'vertex_ai/' + model,
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'vertex_project': 'os.environ/VERTEXAI_PROJECT',
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'vertex_location': 'os.environ/VERTEXAI_LOCATION'}})
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config = add_bailian_routes(namespace_config(config), env, '/credentials/personal-vocabulary.json')
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if env.get('OPENAI_API_KEY'):
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models = dict(catalog.get('openai', {}))
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for alias, model in catalog.get('chatgpt', {}).items():
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models[alias if alias.endswith('-latest') else model] = model
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for alias, model in models.items():
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config['model_list'].append({'model_name': 'openai/' + alias, 'litellm_params': {
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'model': 'openai/' + model, 'api_base': 'https://api.openai.com/v1',
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'api_key': 'os.environ/OPENAI_API_KEY', 'max_retries': 0}})
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return config
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if __name__ == '__main__':
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catalog = yaml.safe_load(Path('/etc/litellm/models.yaml').read_text())
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config = build_hk_config(catalog, os.environ)
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output = Path('/tmp/litellm.yaml')
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output.write_text(yaml.safe_dump(config, allow_unicode=True, sort_keys=False))
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output.chmod(0o600)
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print('Configured routes:', ', '.join(route['model_name'] for route in config['model_list']))
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