black + isort formatting

examples/cooking_recipe_example.py

@@ -1,5 +1,5 @@
-from pydantic import BaseModel
 from _context import simplemind as sm
+from pydantic import BaseModel
 from rich.console import Console
 from rich.panel import Panel
 from rich.text import Text

examples/discussion.py

@@ -1,11 +1,10 @@
 import time
 from typing import List, Tuple
 
+from _context import sm
 from rich.console import Console
 from rich.markdown import Markdown
 
-from _context import sm
-
 
 class MultiAIConversation:
     """Orchestrates conversations between multiple AI models."""

examples/enhanced_context.py

@@ -1,35 +1,28 @@
-from datetime import datetime
-import logging
-import sqlite3
-from typing import List
-import re
-import os
 import contextlib
-
-import spacy
+import logging
+import os
+import random
+import re
+import sqlite3
+from concurrent.futures import ThreadPoolExecutor
 from contextlib import contextmanager
-
-from _context import simplemind as sm
+from datetime import datetime
+from typing import List
 
 import nltk
-from nltk.tokenize import word_tokenize
-from nltk.tag import pos_tag
-
-from rich.console import Console
-from rich.panel import Panel
-from rich.markdown import Markdown
-from rich.status import Status
-
-from concurrent.futures import ThreadPoolExecutor
-import random
-
-from docopt import docopt
-
-from prompt_toolkit import PromptSession
-from prompt_toolkit.completion import Completer, Completion
-from prompt_toolkit.auto_suggest import AutoSuggestFromHistory
-
+import spacy
 import xerox
+from _context import simplemind as sm
+from docopt import docopt
+from nltk.tag import pos_tag
+from nltk.tokenize import word_tokenize
+from prompt_toolkit import PromptSession
+from prompt_toolkit.auto_suggest import AutoSuggestFromHistory
+from prompt_toolkit.completion import Completer, Completion
+from rich.console import Console
+from rich.markdown import Markdown
+from rich.panel import Panel
+from rich.status import Status
 
 DB_PATH = "enhanced_context.db"
 AVAILABLE_PROVIDERS = ["xai", "openai", "anthropic", "ollama"]

examples/four_way_conversation.py

@@ -1,4 +1,5 @@
 import time
+
 from _context import simplemind as sm
 
 

examples/inspiration_plugin.py

@@ -1,4 +1,5 @@
 import random
+
 from _context import simplemind as sm
 
 

examples/medicine_data.py

@@ -1,5 +1,5 @@
-from pydantic import BaseModel
 from _context import simplemind as sm
+from pydantic import BaseModel
 from rich.console import Console
 from rich.panel import Panel
 from rich.table import Table

examples/mood_detector_plugin.py

@@ -1,7 +1,7 @@
 import nltk
+from _context import simplemind as sm
 from nltk.sentiment import SentimentIntensityAnalyzer
 from rich.console import Console
-from _context import simplemind as sm
 
 nltk.download("vader_lexicon")
 

examples/sentiment_analysis.py

@@ -5,6 +5,7 @@ from pydantic import BaseModel
 
 # Note: you should probably be using textblob for this.
 
+
 class SentimentAnalysis(BaseModel):
     sentiment: Literal["positive", "negative", "neutral"]
     confidence: float

examples/web_bible_explorer.py

@@ -1,8 +1,10 @@
-from fastapi import FastAPI, Request, HTTPException
-from fastapi.templating import Jinja2Templates
-from fastapi.staticfiles import StaticFiles
-from pydantic import BaseModel
 from typing import List
+
+from fastapi import FastAPI, HTTPException, Request
+from fastapi.staticfiles import StaticFiles
+from fastapi.templating import Jinja2Templates
+from pydantic import BaseModel
+
 import simplemind as sm
 
 app = FastAPI()

simplemind/settings.py

@@ -14,8 +14,9 @@ class LoggingConfig(BaseSettings):
         """Enable logging for the application."""
         # adding imports here to avoid forced dependencies
         try:
-            import logfire
             from logging import basicConfig
+
+            import logfire
         except ImportError as e:
             raise ImportError(
                 "To enable logging, please install logfire: `pip install logfire`"

tests/test_conversations.py

@@ -1,8 +1,7 @@
 import pytest
 
-from simplemind.providers import Anthropic, Gemini, OpenAI, Groq, Ollama, Amazon
-
 import simplemind as sm
+from simplemind.providers import Amazon, Anthropic, Gemini, Groq, Ollama, OpenAI
 
 
 @pytest.mark.parametrize(

tests/test_generate_data.py

@@ -1,9 +1,8 @@
 import pytest
-
-from simplemind.providers import Anthropic, Gemini, OpenAI, Groq, Ollama, Amazon
-
 from pydantic import BaseModel
 
+from simplemind.providers import Amazon, Anthropic, Gemini, Groq, Ollama, OpenAI
+
 
 class ResponseModel(BaseModel):
     result: int

tests/test_generate_text.py

@@ -1,6 +1,6 @@
 import pytest
 
-from simplemind.providers import Anthropic, Gemini, OpenAI, Groq, Ollama, Amazon
+from simplemind.providers import Amazon, Anthropic, Gemini, Groq, Ollama, OpenAI
 
 
 @pytest.mark.parametrize(