Reuse logic to format messages for chat with anthropic models

src/khoj/processor/conversation/anthropic/anthropic_chat.py

@@ -11,6 +11,7 @@ from khoj.processor.conversation import prompts
 from khoj.processor.conversation.anthropic.utils import (
     anthropic_chat_completion_with_backoff,
     anthropic_completion_with_backoff,
+    format_messages_for_anthropic,
 )
 from khoj.processor.conversation.utils import generate_chatml_messages_with_context
 from khoj.utils.helpers import ConversationCommand, is_none_or_empty
@@ -101,17 +102,7 @@ def anthropic_send_message_to_model(messages, api_key, model):
     """
     Send message to model
     """
-    # Anthropic requires the first message to be a 'user' message, and the system prompt is not to be sent in the messages parameter
-    system_prompt = None
-
-    if len(messages) == 1:
-        messages[0].role = "user"
-    else:
-        system_prompt = ""
-        for message in messages.copy():
-            if message.role == "system":
-                system_prompt += message.content
-                messages.remove(message)
+    messages, system_prompt = format_messages_for_anthropic(messages)
 
     # Get Response from GPT. Don't use response_type because Anthropic doesn't support it.
     return anthropic_completion_with_backoff(
@@ -192,14 +183,7 @@ def converse_anthropic(
         model_type=ChatModelOptions.ModelType.ANTHROPIC,
     )
 
-    if len(messages) > 1:
-        if messages[0].role == "assistant":
-            messages = messages[1:]
-
-    for message in messages.copy():
-        if message.role == "system":
-            system_prompt += message.content
-            messages.remove(message)
+    messages, system_prompt = format_messages_for_anthropic(messages, system_prompt)
 
     truncated_messages = "\n".join({f"{message.content[:40]}..." for message in messages})
     logger.debug(f"Conversation Context for Claude: {truncated_messages}")

src/khoj/processor/conversation/anthropic/utils.py

@@ -3,6 +3,7 @@ from threading import Thread
 from typing import Dict, List
 
 import anthropic
+from langchain.schema import ChatMessage
 from tenacity import (
     before_sleep_log,
     retry,
@@ -11,7 +12,8 @@ from tenacity import (
     wait_random_exponential,
 )
 
-from khoj.processor.conversation.utils import ThreadedGenerator
+from khoj.processor.conversation.utils import ThreadedGenerator, get_image_from_url
+from khoj.utils.helpers import is_none_or_empty
 
 logger = logging.getLogger(__name__)
 
@@ -115,3 +117,49 @@ def anthropic_llm_thread(
         logger.error(f"Error in anthropic_llm_thread: {e}", exc_info=True)
     finally:
         g.close()
+
+
+def format_messages_for_anthropic(messages: list[ChatMessage], system_prompt=None):
+    """
+    Format messages for Anthropic
+    """
+    # Extract system prompt
+    system_prompt = system_prompt or ""
+    for message in messages.copy():
+        if message.role == "system":
+            system_prompt += message.content
+            messages.remove(message)
+    system_prompt = None if is_none_or_empty(system_prompt) else system_prompt
+
+    # Anthropic requires the first message to be a 'user' message
+    if len(messages) == 1:
+        messages[0].role = "user"
+    elif len(messages) > 1 and messages[0].role == "assistant":
+        messages = messages[1:]
+
+    # Convert image urls to base64 encoded images in Anthropic message format
+    for message in messages:
+        if isinstance(message.content, list):
+            content = []
+            # Sort the content as preferred if text comes after images
+            message.content.sort(key=lambda x: 0 if x["type"] == "image_url" else 1)
+            for idx, part in enumerate(message.content):
+                if part["type"] == "text":
+                    content.append({"type": "text", "text": part["text"]})
+                elif part["type"] == "image_url":
+                    b64_image, media_type = get_image_from_url(part["image_url"]["url"], type="b64")
+                    content.extend(
+                        [
+                            {
+                                "type": "text",
+                                "text": f"Image {idx + 1}:",
+                            },
+                            {
+                                "type": "image",
+                                "source": {"type": "base64", "media_type": media_type, "data": b64_image},
+                            },
+                        ]
+                    )
+            message.content = content
+
+    return messages, system_prompt