support claude vision and add examples

examples/logging/anthropic_messages_image.py

@@ -0,0 +1,37 @@
+import base64
+
+import anthropic
+import httpx
+
+from log10.load import log10
+
+
+log10(anthropic)
+
+client = anthropic.Anthropic()
+
+image1_url = "https://upload.wikimedia.org/wikipedia/commons/a/a7/Camponotus_flavomarginatus_ant.jpg"
+image1_media_type = "image/jpeg"
+image1_data = base64.b64encode(httpx.get(image1_url).content).decode("utf-8")
+
+message = client.messages.create(
+    model="claude-3-haiku-20240307",
+    max_tokens=1024,
+    messages=[
+        {
+            "role": "user",
+            "content": [
+                {
+                    "type": "image",
+                    "source": {
+                        "type": "base64",
+                        "media_type": image1_media_type,
+                        "data": image1_data,
+                    },
+                },
+                {"type": "text", "text": "Describe this image."},
+            ],
+        }
+    ],
+)
+print(message)

examples/logging/openai_chat_image.py

@@ -0,0 +1,38 @@
+import base64
+
+import httpx
+import openai
+
+from log10.load import log10
+
+
+log10(openai)
+
+client = openai.OpenAI()
+
+
+image1_url = "https://upload.wikimedia.org/wikipedia/commons/a/a7/Camponotus_flavomarginatus_ant.jpg"
+image1_media_type = "image/jpeg"
+image1_data = base64.b64encode(httpx.get(image1_url).content).decode("utf-8")
+
+
+response = client.chat.completions.create(
+    model="gpt-4-vision-preview",
+    messages=[
+        {
+            "role": "user",
+            "content": [
+                {
+                    "type": "text",
+                    "text": "What are in these image?",
+                },
+                {
+                    "type": "image_url",
+                    "image_url": {"url": f"data:{image1_media_type};base64,{image1_data}"},
+                },
+            ],
+        }
+    ],
+    max_tokens=300,
+)
+print(response.choices[0])

log10/load.py

@@ -198,6 +198,7 @@ def log_url(res, completionID):
 async def log_async(completion_url, func, **kwargs):
     global last_completion_response
 
+    kwargs = kwargs.copy()
     res = None
     try:
         res = post_request(completion_url)
@@ -217,6 +218,19 @@ async def log_async(completion_url, func, **kwargs):
         if "anthropic" in func.__module__:
             if "system" in kwargs:
                 kwargs["messages"].insert(0, {"role": "system", "content": kwargs["system"]})
+            if "messages" in kwargs:
+                for m in kwargs["messages"]:
+                    new_content = []
+                    for c in m.get("content", []):
+                        if c.get("type") == "image":
+                            image_type = c.get("source", {}).get("media_type", "")
+                            image_data = c.get("source", {}).get("data", "")
+                            new_content.append(
+                                {"type": "image_url", "image_url": f"data:{image_type};base64,{image_data}"}
+                            )
+                        else:
+                            new_content.append(c)
+                    m["content"] = new_content
 
         log_row = {
             # do we want to also store args?