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Feat/openai llm trial paid config (#2545)

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This commit is contained in:
Garfield Dai
2024-02-23 16:12:43 +08:00
committed by GitHub
parent 3082093293
commit 3ad943a9eb
3 changed files with 18 additions and 24 deletions
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36
api/core/hosting_configuration.py
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@@ -104,37 +104,17 @@ class HostingConfiguration:
if app_config.get("HOSTED_OPENAI_TRIAL_ENABLED"):
hosted_quota_limit = int(app_config.get("HOSTED_OPENAI_QUOTA_LIMIT", "200"))
trial_models = self.parse_restrict_models_from_env(app_config, "HOSTED_OPENAI_TRIAL_MODELS")
trial_quota = TrialHostingQuota(
quota_limit=hosted_quota_limit,
restrict_models=[
RestrictModel(model="gpt-3.5-turbo", model_type=ModelType.LLM),
RestrictModel(model="gpt-3.5-turbo-1106", model_type=ModelType.LLM),
RestrictModel(model="gpt-3.5-turbo-instruct", model_type=ModelType.LLM),
RestrictModel(model="gpt-3.5-turbo-16k", model_type=ModelType.LLM),
RestrictModel(model="gpt-3.5-turbo-16k-0613", model_type=ModelType.LLM),
RestrictModel(model="gpt-3.5-turbo-0613", model_type=ModelType.LLM),
RestrictModel(model="gpt-3.5-turbo-0125", model_type=ModelType.LLM),
RestrictModel(model="text-davinci-003", model_type=ModelType.LLM),
]
restrict_models=trial_models
)
quotas.append(trial_quota)
if app_config.get("HOSTED_OPENAI_PAID_ENABLED"):
paid_models = self.parse_restrict_models_from_env(app_config, "HOSTED_OPENAI_PAID_MODELS")
paid_quota = PaidHostingQuota(
restrict_models=[
RestrictModel(model="gpt-4", model_type=ModelType.LLM),
RestrictModel(model="gpt-4-turbo-preview", model_type=ModelType.LLM),
RestrictModel(model="gpt-4-1106-preview", model_type=ModelType.LLM),
RestrictModel(model="gpt-4-0125-preview", model_type=ModelType.LLM),
RestrictModel(model="gpt-3.5-turbo", model_type=ModelType.LLM),
RestrictModel(model="gpt-3.5-turbo-16k", model_type=ModelType.LLM),
RestrictModel(model="gpt-3.5-turbo-16k-0613", model_type=ModelType.LLM),
RestrictModel(model="gpt-3.5-turbo-1106", model_type=ModelType.LLM),
RestrictModel(model="gpt-3.5-turbo-0613", model_type=ModelType.LLM),
RestrictModel(model="gpt-3.5-turbo-0125", model_type=ModelType.LLM),
RestrictModel(model="gpt-3.5-turbo-instruct", model_type=ModelType.LLM),
RestrictModel(model="text-davinci-003", model_type=ModelType.LLM),
]
restrict_models=paid_models
)
quotas.append(paid_quota)
@@ -258,3 +238,11 @@ class HostingConfiguration:
return HostedModerationConfig(
enabled=False
)
@staticmethod
def parse_restrict_models_from_env(app_config: Config, env_var: str) -> list[RestrictModel]:
models_str = app_config.get(env_var)
models_list = models_str.split(",") if models_str else []
return [RestrictModel(model=model_name.strip(), model_type=ModelType.LLM) for model_name in models_list if
model_name.strip()]