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fix(custom_provider): show raw API error instead of JSONDecodeError

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When an OpenAI-compatible API returns a non-JSON response (e.g. plain
text "unsupported model: xxx" with HTTP 200), the OpenAI SDK raises a
JSONDecodeError whose message is the unhelpful "Expecting value: line 1
column 1 (char 0)".  Extract the original response body from
JSONDecodeError.doc (or APIError.response.text) so users see the actual
error message from the API.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
siyuan.qsy
2026-03-20 15:24:54 +08:00
committed by Xubin Ren
parent f44c4f9e3c
commit 8b971a7827
1 changed files with 6 additions and 0 deletions
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6
nanobot/providers/custom_provider.py
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@@ -51,6 +51,12 @@ class CustomProvider(LLMProvider):
try: try:
return self._parse(await self._client.chat.completions.create(**kwargs)) return self._parse(await self._client.chat.completions.create(**kwargs))
except Exception as e: except Exception as e:
# Extract raw response body from non-JSON API errors.
# JSONDecodeError.doc contains the original text (e.g. "unsupported model: xxx");
# OpenAI APIError may carry it in response.text.
body = getattr(e, "doc", None) or getattr(getattr(e, "response", None), "text", None)
if body and body.strip():
return LLMResponse(content=f"Error: {body.strip()}", finish_reason="error")
return LLMResponse(content=f"Error: {e}", finish_reason="error") return LLMResponse(content=f"Error: {e}", finish_reason="error")
def _parse(self, response: Any) -> LLMResponse: def _parse(self, response: Any) -> LLMResponse: