adding details on calling azure

INSTALL.md

@@ -363,11 +363,4 @@ WEBHOOK_SECRET=$(python -c "import secrets; print(secrets.token_hex(10))")
 In the "Trigger" section, check the ‘comments’ and ‘merge request events’ boxes. 
 6. Test your installation by opening a merge request or commenting or a merge request using one of CodiumAI's commands.
 
----
-
-### Appendix - **Debugging LLM API Calls**  
-If you're testing your codium/pr-agent server, and need to see if calls were made successfully + the exact call logs, you can use the [LiteLLM Debugger tool](https://docs.litellm.ai/docs/debugging/hosted_debugging). 
-
-You can do this by setting `litellm_debugger=true` in configuration.toml. Your Logs will be viewable in real-time @ `admin.litellm.ai/<your_email>`. Set your email in the `.secrets.toml` under 'user_email'.
-
-<img src="./pics/debugger.png" width="800"/>
+---

Usage.md

@@ -149,11 +149,28 @@ TBD
 #### Changing a model
 See [here](pr_agent/algo/__init__.py) for the list of available models.
 
-To use Llama2 model, for example, set:
+To use Azure, set: 
+```
+api_key = "" # your azure api key
+api_type = "azure"
+api_version = '2023-05-15'  # Check Azure documentation for the current API version
+api_base = ""  # The base URL for your Azure OpenAI resource. e.g. "https://<your resource name>.openai.azure.com"
+deployment_id = ""  # The deployment name you chose when you deployed the engine
+```
+in your .secrets.toml
+
+and 
 ```
 [config]
+model="" # the OpenAI model you've deployed on Azure (e.g. gpt-3.5-turbo)
+```
+in the configuration.toml 
+
+To use Llama2 model with Replicate, for example, set:
+```
+[config] # in configuration.toml
 model = "replicate/llama-2-70b-chat:2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1"
-[replicate]
+[replicate] # in .secrets.toml
 key = ...
 ```
 (you can obtain a Llama2 key from [here](https://replicate.com/replicate/llama-2-70b-chat/api))

pr_agent/algo/ai_handler.py

@@ -5,7 +5,6 @@ import openai
 from litellm import acompletion
 from openai.error import APIError, RateLimitError, Timeout, TryAgain
 from retry import retry
-
 from pr_agent.config_loader import get_settings
 
 OPENAI_RETRIES = 5
@@ -26,7 +25,6 @@ class AiHandler:
         try:
             openai.api_key = get_settings().openai.key
             litellm.openai_key = get_settings().openai.key
-            litellm.debugger = get_settings().config.litellm_debugger
             self.azure = False
             if get_settings().get("OPENAI.ORG", None):
                 litellm.organization = get_settings().openai.org

pr_agent/settings/configuration.toml

@@ -10,7 +10,6 @@ use_repo_settings_file=true
 ai_timeout=180
 max_description_tokens = 500
 max_commits_tokens = 500
-litellm_debugger=false
 secret_provider="google_cloud_storage"
 
 [pr_reviewer] # /review #