feat: add anthropic image tracing example

Author: joschkabraun

parea/api_client.py

@@ -12,7 +12,7 @@
 
 load_dotenv()
 
-MAX_RETRIES = 7
+MAX_RETRIES = 8
 BACKOFF_FACTOR = 0.5
 
 

parea/cookbook/tracing_with_images_anthropic.py

@@ -0,0 +1,71 @@
+import json
+import os
+
+from anthropic import Anthropic
+from dotenv import load_dotenv
+from openai import OpenAI
+
+from parea import Parea, trace, trace_insert
+from parea.schemas import TraceLogImage
+
+load_dotenv()
+
+
+oai_client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
+a_client = Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
+
+p = Parea(api_key=os.getenv("PAREA_API_KEY"))
+p.wrap_openai_client(oai_client)
+p.wrap_anthropic_client(a_client)
+
+
+@trace
+def image_maker(query: str) -> str:
+    response = oai_client.images.generate(prompt=query, model="dall-e-3")
+    image_url = response.data[0].url
+    caption = {"original_prompt": query, "revised_prompt": response.data[0].revised_prompt}
+    trace_insert({"images": [TraceLogImage(url=image_url, caption=json.dumps(caption))]})
+    return image_url
+
+
+import requests
+import base64
+from typing import Optional
+
+@trace
+def ask_vision(image_url: str) -> Optional[str]:
+    image_data = requests.get(image_url).content
+    base64_image = base64.b64encode(image_data).decode('utf-8')
+
+    response = a_client.messages.create(
+        model="claude-3-haiku-20240307",
+        messages=[
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "image",
+                        "source": {
+                            "type": "base64",
+                            "media_type": "image/png",
+                            "data": base64_image,
+                        },
+                    },
+                    {"type": "text", "text": "What’s in this image?"},
+                ],
+            }
+        ],
+        max_tokens=300,
+    )
+    return response.content[0].text
+
+
+@trace
+def main(query: str) -> str:
+    image_url = image_maker(query)
+    return ask_vision(image_url)
+
+
+if __name__ == "__main__":
+    result = main("A dog sitting comfortably on a chair")
+    print(result)

parea/cookbook/tracing_with_images_open_ai.py

@@ -30,7 +30,7 @@ def image_maker(query: str) -> str:
 @trace
 def ask_vision(image_url: str) -> Optional[str]:
     response = client.chat.completions.create(
-        model="gpt-4-vision-preview",
+        model="gpt-4-turbo",
         messages=[
             {
                 "role": "user",