aider: Implemented backoff library to handle rate limit issues with exponential backoff and a maximum of 5 retries.

# Context:
USER: Hello there,

thanks for making this open source!
I have a request: due to being still on the free credits of OpenAI API, I run into timeouts.

fetch_starred_repos.py
Add these files to the chat? y
RateLimitError: You exceeded your current quota, please check your plan and billing details.
Retry in 1 seconds.
...
Is it possible for you to implement this library to omit that?
https://pypi.org/project/backoff/

Thanks in advance.
Greetings from Germany

ASSISTANT: Sure, I can help you implement the `backoff` library to handle the rate limit issue. First, please make the `aider/coder.py` file *read-write* so I can propose changes to it.
USER: I added these *read-write* files: aider/coder.py
ASSISTANT: Great! First, you need to install the `backoff` library. You can do this by running:

```
pip install backoff
```

Next, I will show you the changes needed in the `aider/coder.py` file to implement the `backoff` library for handling rate limit issues.

1. Import the `backoff` library at the beginning of the file.
2. Replace the `send_with_retries` method with a new method that uses the `backoff` library.

Here are the changes:

```python
aider/coder.py
<<<<<<< ORIGINAL
import os
import sys
import time
import traceback
=======
import os
import sys
import traceback
import backoff
>>>>>>> UPDATED
```

```python
aider/coder.py
<<<<<<< ORIGINAL
    def send_with_retries(self, model, messages):
        while True:
            try:
                return openai.ChatCompletion.create(
                    model=model,
                    messages=messages,
                    temperature=0,
                    stream=True,
                )
            except RateLimitError as err:
                self.io.tool_error(f"RateLimitError: {err}")
            except requests.exceptions.ConnectionError as err:
                self.io.tool_error(f"ConnectionError: {err}")

            retry_after = 1
            self.io.tool_error(f"Retry in {retry_after} seconds.")
            time.sleep(retry_after)
=======
    @backoff.on_exception(
        backoff.expo,
        (RateLimitError, requests.exceptions.ConnectionError),
        max_tries=5,
        on_backoff=lambda details: self.io.tool_error(f"Retry in {details['wait']} seconds."),
    )
    def send_with_retries(self, model, messages):
        return openai.ChatCompletion.create(
            model=model,
            messages=messages,
            temperature=0,
            stream=True,
        )
>>>>>>> UPDATED
```

These changes will implement the `backoff` library to handle rate limit issues with exponential backoff and a maximum of 5 retries. If you want to adjust the number of retries, you can change the `max_tries` parameter in the `backoff.on_exception` decorator.

aider/coder.py

@@ -2,8 +2,8 @@
 
 import os
 import sys
-import time
 import traceback
+import backoff
 from pathlib import Path
 
 import git
@@ -391,23 +391,19 @@ class Coder:
 
         return prompts.added_files.format(fnames=", ".join(mentioned_rel_fnames))
 
+    @backoff.on_exception(
+        backoff.expo,
+        (RateLimitError, requests.exceptions.ConnectionError),
+        max_tries=5,
+        on_backoff=lambda details: self.io.tool_error(f"Retry in {details['wait']} seconds."),
+    )
     def send_with_retries(self, model, messages):
-        while True:
-            try:
-                return openai.ChatCompletion.create(
-                    model=model,
-                    messages=messages,
-                    temperature=0,
-                    stream=True,
-                )
-            except RateLimitError as err:
-                self.io.tool_error(f"RateLimitError: {err}")
-            except requests.exceptions.ConnectionError as err:
-                self.io.tool_error(f"ConnectionError: {err}")
-
-            retry_after = 1
-            self.io.tool_error(f"Retry in {retry_after} seconds.")
-            time.sleep(retry_after)
+        return openai.ChatCompletion.create(
+            model=model,
+            messages=messages,
+            temperature=0,
+            stream=True,
+        )
 
     def send(self, messages, model=None, silent=False):
         if not model: