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fix: harden openai-compatible provider responses

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Affaan Mustafa
2026-05-18 01:04:28 -04:00
parent cc62e89152
commit eb0d893948
4 changed files with 181 additions and 126 deletions
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5
src/llm/providers/astraflow.py
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@@ -15,6 +15,7 @@ from llm.core.interface import (
RateLimitError,
)
from llm.core.types import LLMInput, LLMOutput, ModelInfo, ProviderType, ToolCall
from llm.providers.constants import EMPTY_FILTERED_RESPONSE_ERROR
ASTRAFLOW_BASE_URL = "https://api.umodelverse.ai/v1"
ASTRAFLOW_CN_BASE_URL = "https://api.modelverse.cn/v1"
@@ -55,7 +56,7 @@ class _AstraflowBaseProvider(LLMProvider):
env_model = os.environ.get(self.model_env)
fallback_model = os.environ.get(self.fallback_model_env) if self.fallback_model_env else None
self.default_model = default_model or env_model or fallback_model or DEFAULT_ASTRAFLOW_MODEL
self.client = OpenAI(api_key=self.api_key, base_url=self.base_url)
self.client = OpenAI(api_key=self.api_key, base_url=self.base_url, _enforce_credentials=False)
self._models = [
ModelInfo(
name=self.default_model,
@@ -80,7 +81,7 @@ class _AstraflowBaseProvider(LLMProvider):
response = self.client.chat.completions.create(**params)
if not response.choices or response.choices[0].message is None:
raise ValueError("LLM returned empty or filtered response")
raise ValueError(EMPTY_FILTERED_RESPONSE_ERROR)
choice = response.choices[0]
tool_calls = None