Release 0.0.10 Demos and LangChain Integration

.release-please-manifest.json

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 {
   ".": "0.0.9"
-}
+}

examples/cli/mirascope/README.md

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+# Simple CLI Chatbot with Mirascope
+
+This is a quick demo that shows how to create a chatbot with MiraScope using
+Honcho as the storage engine. 
+
+It uses the command line as an interface and uses GPT-4o as the underlying
+model. Follow the below steps to setup the demo. 
+
+1. Install the dependencies with `poetry` 
+
+```bash
+poetry shell
+poetry install
+```
+
+2. Add your OpenAI API key to an `.env` file
+
+```bash
+echo "OPENAI_API_KEY=<YOUR_API_KEY>" > .env
+```
+
+3. Run the demo from your poetry demo
+
+```bash
+poetry shell
+python main.py
+```

examples/cli/mirascope/main.py

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+import asyncio
+from typing import List
+
+from dotenv import load_dotenv
+from mirascope.openai import OpenAICall, OpenAICallParams
+
+from honcho import Honcho
+
+load_dotenv()
+honcho = Honcho(environment="demo")  # initialize the honcho client
+app = honcho.apps.get_or_create("Mirascope Test")  # Get your app instance
+user = honcho.apps.users.get_or_create(app_id=app.id, name="test_user")  # Get your user
+session = honcho.apps.users.sessions.create(app_id=app.id, user_id=user.id, location_id="cli")  # Make a new session
+
+
+# Set up your OpenAI Call
+class Conversation(OpenAICall):
+    prompt_template = """
+    SYSTEM: 
+    You are a helpful assistant that provides incredibly short and efficient
+    responses.
+
+    MESSAGES: {history}
+
+    USER: 
+    {user_input}
+    """
+    user_input: str
+    session_id: str
+    app_id: str
+    user_id: str
+
+    @property
+    def history(self) -> List[dict]:
+        """Get the conversation history from Honcho"""
+        history_list = []
+        iter = honcho.apps.users.sessions.messages.list(
+            session_id=self.session_id, app_id=self.app_id, user_id=self.user_id
+        )
+        for message in iter:
+            if message.is_user:
+                history_list.append({"role": "user", "content": message.content})
+            else:
+                history_list.append({"role": "assistant", "content": message.content})
+        return history_list
+
+    # context: str
+    call_params = OpenAICallParams(model="gpt-4o-2024-05-13", temperature=0.4)
+
+
+conversation = Conversation(user_input="", app_id=app.id, user_id=user.id, session_id=session.id)
+
+
+async def chat():
+    while True:
+        conversation.user_input = input(">>> ")
+        if conversation.user_input == "exit":
+            honcho.apps.users.sessions.delete(session_id=session.id, app_id=app.id, user_id=user.id)
+            break
+        response = ""
+        cstream = conversation.stream_async()
+        print("\033[96mAI:\033[0m")
+        async for chunk in cstream:
+            print(f"\033[96m{chunk.content}\033[0m", end="", flush=True)
+            response += chunk.content
+        print("\n")
+
+        # Save User and AI messages to Honcho
+        honcho.apps.users.sessions.messages.create(
+            session_id=session.id, app_id=app.id, user_id=user.id, content=conversation.user_input, is_user=True
+        )
+        honcho.apps.users.sessions.messages.create(
+            session_id=session.id, app_id=app.id, user_id=user.id, content=response, is_user=False
+        )
+
+
+if __name__ == "__main__":
+    asyncio.run(chat())