yay

simplemind/__init__.py

@@ -1,18 +1,33 @@
 from .models import Conversation
+from .utils import find_provider
 
 
 class SimpleMind:
-    def create_conversation(self, *, llm_model=None, llm_provider=None):
-        return Conversation()
 
     def structured_response(
-        self, *, llm_model=None, llm_provider=None, response_model=None
+        self, prompt, *, llm_model=None, llm_provider=None, response_model=None
     ):
-        pass
+        provider = find_provider(llm_provider)
+
+        return provider.structured_response(
+            llm_model=llm_model, response_model=response_model, prompt=prompt
+        )
 
 
-def create_conversation():
-    return SimpleMind().create_conversation()
+def create_conversation(llm_model=None, llm_provider=None):
+    return Conversation(llm_model=llm_model, llm_provider=llm_provider)
+
+
+def structured_response(
+    prompt, *, llm_model=None, llm_provider=None, response_model=None
+):
+    provider = find_provider(llm_provider)
+
+    return provider.structured_response(
+        prompt=prompt,
+        llm_model=llm_model,
+        response_model=response_model,
+    )
 
 
 globals().update(locals())

simplemind/providers/openai.py

@@ -1,7 +1,6 @@
 import openai as oa
 import instructor
 
-# from ..models import Conversation, Message
 from ..settings import settings
 
 PROVIDER_NAME = "openai"
@@ -49,9 +48,13 @@ class OpenAI:
             llm_provider=PROVIDER_NAME,
         )
 
-    def structured_response(self, model, response_model, **kwargs):
-        client = instructor.patch(oa.OpenAI(api_key=self.api_key))
-        response = client.chat.completions.create(
-            model=model, response_model=response_model, **kwargs
+    def structured_response(self, prompt, response_model, *, llm_model):
+        # Ensure messages are provided in kwargs
+        messages = [
+            {"role": "user", "content": prompt},
+        ]
+
+        response = self.structured_client.chat.completions.create(
+            messages=messages, model=llm_model, response_model=response_model
         )
         return response

t.py

@@ -1,8 +1,17 @@
 import simplemind as sm
+from pydantic import BaseModel
 
-conversation = sm.create_conversation()
-conversation.add_message(role="user", text="Hello, how are you? Do you like poetry?")
-r = conversation.send(llm_provider="openai")
 
-print(r.text)
-print(conversation.messages)
+class Poem(BaseModel):
+    title: str
+    content: str
+
+
+output = sm.structured_response(
+    "Write a poem about love",
+    llm_model="gpt-4o-mini",
+    llm_provider="openai",
+    response_model=Poem,
+)
+
+print(output)