Fix the temperature issue, remove temperature

nanobot/providers/azure_openai_provider.py

@@ -71,16 +71,13 @@ class AzureOpenAIProvider(LLMProvider):
         self,
         messages: list[dict[str, Any]],
         tools: list[dict[str, Any]] | None = None,
-        model: str | None = None,
         max_tokens: int = 4096,
-        temperature: float = 0.7,
         reasoning_effort: str | None = None,
     ) -> dict[str, Any]:
         """Prepare the request payload with Azure OpenAI 2024-10-21 compliance."""
         payload: dict[str, Any] = {
             "messages": self._sanitize_empty_content(messages),
             "max_completion_tokens": max(1, max_tokens),  # Azure API 2024-10-21 uses max_completion_tokens
-            "temperature": 1,
         }
 
         if reasoning_effort:
@@ -119,7 +116,7 @@ class AzureOpenAIProvider(LLMProvider):
         url = self._build_chat_url(deployment_name)
         headers = self._build_headers()
         payload = self._prepare_request_payload(
-            messages, tools, model, max_tokens, temperature, reasoning_effort
+            messages, tools, max_tokens, reasoning_effort
         )
 
         try:
@@ -131,7 +128,7 @@ class AzureOpenAIProvider(LLMProvider):
                         finish_reason="error",
                     )
                 
-                response_data = await response.json()
+                response_data = response.json()
                 return self._parse_response(response_data)
 
         except Exception as e:

tests/test_azure_openai_provider.py

@@ -2,7 +2,7 @@
 
 import asyncio
 import pytest
-from unittest.mock import AsyncMock, patch
+from unittest.mock import AsyncMock, Mock, patch
 
 from nanobot.providers.azure_openai_provider import AzureOpenAIProvider
 from nanobot.providers.base import LLMResponse
@@ -89,11 +89,11 @@ def test_prepare_request_payload():
     )
     
     messages = [{"role": "user", "content": "Hello"}]
-    payload = provider._prepare_request_payload(messages, max_tokens=1500, temperature=0.8)
+    payload = provider._prepare_request_payload(messages, max_tokens=1500)
     
     assert payload["messages"] == messages
     assert payload["max_completion_tokens"] == 1500  # Azure API 2024-10-21 uses max_completion_tokens
-    assert payload["temperature"] == 0.8
+    assert "temperature" not in payload  # Temperature not included in payload
     assert "tools" not in payload
     
     # Test with tools
@@ -135,7 +135,7 @@ async def test_chat_success():
     with patch("httpx.AsyncClient") as mock_client:
         mock_response = AsyncMock()
         mock_response.status_code = 200
-        mock_response.json = AsyncMock(return_value=mock_response_data)
+        mock_response.json = Mock(return_value=mock_response_data)
         
         mock_context = AsyncMock()
         mock_context.post = AsyncMock(return_value=mock_response)
@@ -178,7 +178,7 @@ async def test_chat_uses_default_model_when_no_model_provided():
     with patch("httpx.AsyncClient") as mock_client:
         mock_response = AsyncMock()
         mock_response.status_code = 200
-        mock_response.json = AsyncMock(return_value=mock_response_data)
+        mock_response.json = Mock(return_value=mock_response_data)
         
         mock_context = AsyncMock()
         mock_context.post = AsyncMock(return_value=mock_response)
@@ -228,7 +228,7 @@ async def test_chat_with_tool_calls():
     with patch("httpx.AsyncClient") as mock_client:
         mock_response = AsyncMock()
         mock_response.status_code = 200
-        mock_response.json = AsyncMock(return_value=mock_response_data)
+        mock_response.json = Mock(return_value=mock_response_data)
         
         mock_context = AsyncMock()
         mock_context.post = AsyncMock(return_value=mock_response)