ragflow

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jaso0n0818 d4fbc013b9 fix: tolerate raw api_key string in AzureEmbed and AzureGptV4 __init__ (#15877 )

Fixes #15587

## Problem

`AzureEmbed.__init__` in `rag/llm/embedding_model.py` and
`AzureGptV4.__init__` in `rag/llm/cv_model.py` both call
`json.loads(key)` unconditionally:

```python
api_key = json.loads(key).get("api_key", "")
api_version = json.loads(key).get("api_version", "2024-02-01")
```

When a user stores a plain API key string (not a JSON object) in the
model configuration — which is a valid and common way to configure Azure
OpenAI — `json.loads` raises `JSONDecodeError`. This makes the model
fail to initialize and causes document parsing/embedding to return a 500
error.

## Fix

Wrap `json.loads` in `try/except (json.JSONDecodeError, TypeError)` and
fall back to using the raw string as the `api_key` with the default
`api_version`. This is the same pattern already applied to the Azure
chat model in PR #15604.

## Files changed

- `rag/llm/embedding_model.py` — `AzureEmbed.__init__`
- `rag/llm/cv_model.py` — `AzureGptV4.__init__`

Fixes #15857

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Wang Qi <wangq8@outlook.com>

2026-06-11 16:28:29 +08:00