Add support for OpenAI o1 model

Needed to handle the current API limitations of the o1 model.
Specifically its inability to stream responses

src/khoj/processor/conversation/openai/utils.py

@@ -58,13 +58,17 @@ def completion_with_backoff(
         openai_clients[client_key] = client
 
     formatted_messages = [{"role": message.role, "content": message.content} for message in messages]
-    stream = True
 
     # Update request parameters for compatability with o1 model series
     # Refer: https://platform.openai.com/docs/guides/reasoning/beta-limitations
-    if model_name.startswith("o1"):
+    stream = True
+    model_kwargs["stream_options"] = {"include_usage": True}
+    if model_name == "o1":
+        temperature = 1
+        stream = False
+        model_kwargs.pop("stream_options", None)
+    elif model_name.startswith("o1"):
         temperature = 1
-        model_kwargs.pop("stop", None)
         model_kwargs.pop("response_format", None)
 
     if os.getenv("KHOJ_LLM_SEED"):
@@ -74,7 +78,6 @@ def completion_with_backoff(
         messages=formatted_messages,  # type: ignore
         model=model_name,  # type: ignore
         stream=stream,
-        stream_options={"include_usage": True} if stream else {},
         temperature=temperature,
         timeout=20,
         **model_kwargs,
@@ -165,13 +168,17 @@ def llm_thread(
             client = openai_clients[client_key]
 
         formatted_messages = [{"role": message.role, "content": message.content} for message in messages]
-        stream = True
 
         # Update request parameters for compatability with o1 model series
         # Refer: https://platform.openai.com/docs/guides/reasoning/beta-limitations
-        if model_name.startswith("o1"):
+        stream = True
+        model_kwargs["stream_options"] = {"include_usage": True}
+        if model_name == "o1":
+            temperature = 1
+            stream = False
+            model_kwargs.pop("stream_options", None)
+        elif model_name.startswith("o1-"):
             temperature = 1
-            model_kwargs.pop("stop", None)
             model_kwargs.pop("response_format", None)
 
         if os.getenv("KHOJ_LLM_SEED"):
@@ -181,7 +188,6 @@ def llm_thread(
             messages=formatted_messages,
             model=model_name,  # type: ignore
             stream=stream,
-            stream_options={"include_usage": True} if stream else {},
             temperature=temperature,
             timeout=20,
             **model_kwargs,

src/khoj/processor/conversation/utils.py

@@ -54,7 +54,7 @@ model_to_prompt_size = {
     # OpenAI Models
     "gpt-4o": 20000,
     "gpt-4o-mini": 20000,
-    "o1-preview": 20000,
+    "o1": 20000,
     "o1-mini": 20000,
     # Google Models
     "gemini-1.5-flash": 20000,

src/khoj/utils/constants.py

@@ -38,7 +38,7 @@ model_to_cost: Dict[str, Dict[str, float]] = {
     # OpenAI Pricing: https://openai.com/api/pricing/
     "gpt-4o": {"input": 2.50, "output": 10.00},
     "gpt-4o-mini": {"input": 0.15, "output": 0.60},
-    "o1-preview": {"input": 15.0, "output": 60.00},
+    "o1": {"input": 15.0, "output": 60.00},
     "o1-mini": {"input": 3.0, "output": 12.0},
     # Gemini Pricing: https://ai.google.dev/pricing
     "gemini-1.5-flash": {"input": 0.075, "output": 0.30},