chore: bump version, style

parea/__init__.py

@@ -12,7 +12,7 @@
 from importlib import metadata as importlib_metadata
 
 from parea.benchmark import run_benchmark
-from parea.cache import RedisCache, InMemoryCache
+from parea.cache import InMemoryCache, RedisCache
 from parea.client import Parea, init
 
 

parea/cache/__init__.py

@@ -1,2 +1,2 @@
-from .redis import RedisCache
 from .in_memory import InMemoryCache
+from .redis import RedisCache

parea/cache/cache.py

@@ -1,4 +1,4 @@
-from typing import Optional, List
+from typing import List, Optional
 
 from abc import ABC
 

parea/cache/in_memory.py

@@ -1,5 +1,6 @@
+from typing import List, Optional
+
 import json
-from typing import Optional, List
 
 from attr import asdict
 

parea/client.py

@@ -7,8 +7,8 @@
 from attrs import asdict, define, field
 
 from parea.api_client import HTTPClient
+from parea.cache import InMemoryCache, RedisCache
 from parea.cache.cache import Cache
-from parea.cache import RedisCache, InMemoryCache
 from parea.helpers import gen_trace_id
 from parea.parea_logger import parea_logger
 from parea.schemas.models import Completion, CompletionResponse, FeedbackRequest, UseDeployedPrompt, UseDeployedPromptResponse

parea/cookbook/tracing_and_evaluating_openai_endpoint.py

@@ -8,7 +8,7 @@
 from attr import asdict
 from dotenv import load_dotenv
 
-from parea import init, InMemoryCache
+from parea import InMemoryCache, init
 from parea.evals.chat import goal_success_ratio_factory
 from parea.evals.utils import call_openai
 from parea.helpers import write_trace_logs_to_csv
@@ -41,7 +41,7 @@ def friendliness(log: Log) -> float:
 
 
 def usefulness(log: Log) -> float:
-    user_input = log.inputs['messages'][-1]['content']
+    user_input = log.inputs["messages"][-1]["content"]
     output = log.output
     response = call_openai(
         [

parea/evals/chat.py

@@ -1,14 +1,12 @@
+from typing import Callable, Optional
+
 import json
-from typing import Optional, Callable
 
 from parea.evals.utils import call_openai
 from parea.schemas.models import Log
 
 
-def goal_success_ratio_factory(
-    use_output: Optional[bool] = False,
-    message_field: Optional[str] = None
-) -> Callable[[Log], float]:
+def goal_success_ratio_factory(use_output: Optional[bool] = False, message_field: Optional[str] = None) -> Callable[[Log], float]:
     """Factory function that returns a function that calculates the goal success ratio of a log.
 
     Args:

pyproject.toml

@@ -6,7 +6,7 @@ build-backend = "poetry.core.masonry.api"
 [tool.poetry]
 name = "parea-ai"
 packages = [{ include = "parea" }]
-version = "0.2.19"
+version = "0.2.20"
 description = "Parea python sdk"
 readme = "README.md"
 authors = ["joel-parea-ai <[email protected]>"]