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上游 issue 正文
### Checked other resources
- [x] This is a bug, not a usage question.
- [x] I added a clear and descriptive title that summarizes this issue.
- [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).
- [x] This is not related to the langchain-community package.
- [x] I posted a self-contained, minimal, reproducible example. A maintainer can copy it and run it AS IS.
### Package (Required)
- [ ] langchain
- [ ] langchain-openai
- [ ] langchain-anthropic
- [ ] langchain-classic
- [ ] langchain-core
- [ ] langchain-model-profiles
- [ ] langchain-tests
- [ ] langchain-text-splitters
- [ ] langchain-chroma
- [ ] langchain-deepseek
- [ ] langchain-exa
- [ ] langchain-fireworks
- [ ] langchain-groq
- [ ] langchain-huggingface
- [x] langchain-mistralai
- [ ] langchain-nomic
- [ ] langchain-ollama
- [ ] langchain-openrouter
- [ ] langchain-perplexity
- [ ] langchain-qdrant
- [ ] langchain-xai
- [ ] Other / not sure / general
### Related Issues / PRs
_No response_
### Reproduction Steps / Example Code (Python)
```python
import asyncio
from langchain_mistralai import ChatMistralAI
async def test_concurrency():
llm = ChatMistralAI(max_concurrent_requests=2)
async def call():
return await llm.ainvoke("Hello")
# Fire multiple requests
await asyncio.gather(*(call() for _ in range(5)))
asyncio.run(test_concurrency())
```
### Error Message and Stack Trace (if applicable)
```shell
```
### Description
The current Mistral integration does not properly enforce retry behavior and concurrency limits.
Expected behavior:
- Retries should only occur for transient errors (e.g., 429, 5xx, network failures)
- Concurrency should be limited by max_concurrent_requests
Actual behavior:
- Retry logic applies broadly without filtering retryable errors
- Async calls us…
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