Repository: langchain
Issue:  MistralAIEmbeddings retry decorator catches wrong exception type for rate limiting
Labels: 🤖:bug

### Checked other resources

- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a similar question and didn't find it.
- [X] I am sure that this is a bug in LangChain rather than my code.
- [X] The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).

### Example Code

```python
from langchain_mistralai import MistralAIEmbeddings
    embeddings = MistralAIEmbeddings(
    model="mistral-embed",
    mistral_api_key="your-api-key",
    wait_time=30 # Should be used for rate limit retries
)
```

### Making multiple requests in quick succession triggers rate limits
```python
for i in range(10):
    # When hitting rate limits, raises httpx.HTTPStatusError without retrying
    embeddings.embed_query("Test string")
```

### Error Message and Stack Trace (if applicable)

  File "/usr/local/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 286, in invoke
    self.generate_prompt(
  File "/usr/local/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 786, in generate_prompt
    return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)
  File "/usr/local/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 643, in generate
    raise e
  File "/usr/local/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 633, in generate
    self._generate_with_cache(
  File "/usr/local/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 851, in _generate_with_cache
    result = self._generate(
  File "/usr/local/lib/python3.10/site-packages/langchain_mistralai/chat_models.py", line 545, in _generate
    response = self.completion_with_retry(
  File "/usr/local/lib/python3.10/site-packages/langchain_mistralai/chat_models.py", line 464, in completion_with_retry
    rtn = _completion_with_retry(**kwargs)
  File "/usr/local/lib/python3.10/site-packages/langchain_mistralai/chat_models.py", line 461, in _completion_with_retry
    _raise_on_error(response)
  File "/usr/local/lib/python3.10/site-packages/langchain_mistralai/chat_models.py", line 170, in _raise_on_error
    raise httpx.HTTPStatusError(
httpx.HTTPStatusError: Error response 429 while fetching https://api.mistral.ai/v1/chat/completions: {"message":"Requests rate limit exceeded"}

### Description

The `MistralAIEmbeddings` class currently uses a retry decorator that only catches `httpx.TimeoutException`, but according to the documentation, it should be handling rate limit (429) errors using the `wait_time` parameter.

## Current Behavior
- The retry decorator only catches `httpx.TimeoutException`
- When hitting rate limits (429 errors), the code raises an `httpx.HTTPStatusError` without retrying
- The `wait_time` parameter is documented as "The number of seconds to wait before retrying a request in case of 429 error" but isn't actually used for this purpose

## Expected Behavior
- The retry decorator should catch `httpx.HTTPStatusError` to handle 429 rate limit responses
- When receiving a 429 error, it should wait for `wait_time` seconds before retrying
- This matches the documented behavior of the `wait_time` parameter

### System Info

System Information
------------------
> OS:  Linux
> OS Version:  #49~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Nov  6 17:42:15 UTC 2
> Python Version:  3.10.16 (main, Dec 24 2024, 22:23:12) [GCC 12.2.0]

Package Information
-------------------
> langchain_core: 0.3.29
> langchain: 0.3.14
> langchain_community: 0.3.14
> langsmith: 0.2.10
> langchain_mistralai: 0.2.4
> langchain_ollama: 0.2.2
> langchain_qdrant: 0.2.0
> langchain_text_splitters: 0.3.5
> langchainhub: 0.1.21

Optional packages not installed
-------------------------------
> langserve

Other Dependencies
------------------
> aiohttp: 3.11.11
> async-timeout: 4.0.3
> dataclasses-json: 0.6.7
> fastembed: Installed. No version info available.
> httpx: 0.27.2
> httpx-sse: 0.4.0
> jsonpatch: 1.33
> langsmith-pyo3: Installed. No version info available.
> numpy: 1.26.4
> ollama: 0.4.5
> orjson: 3.10.13
> packaging: 24.2
> pydantic: 2.9.2
> pydantic-settings: 2.7.1
> PyYAML: 6.0.2
> qdrant-client: 1.12.2
> requests: 2.32.3
> requests-toolbelt: 1.0.0
> SQLAlchemy: 2.0.36
> tenacity: 9.0.0
> tokenizers: 0.21.0
> types-requests: 2.32.0.20241016
> typing-extensions: 4.12.2
> zstandard: Installed. No version info available.