fix: Add support for code execution result and skip inline data in anthropic llm

```
blaze run assistant/lamda/bard/scrape/vertex/tools:use_vertex_agent --    --prompt_collection_id=cab_v0p7@3     --agent_name=vertex_1p_agent     --kernel_id=vertex_agent:claude-sonnet-4@20250514 --dynamically_inject_tools=True --add_final_answer_tag=True --example_ids=plot-line-004_0.5_new_1
```
TODO: https://evalhub.corp.google.com/runs/Uf5en14gqmK-R/links
PiperOrigin-RevId: 768098002

Author: google-genai-bot

src/google/adk/models/anthropic_llm.py

@@ -16,6 +16,7 @@
 
 from __future__ import annotations
 
+import base64
 from functools import cached_property
 import logging
 import os
@@ -45,7 +46,7 @@
 
 logger = logging.getLogger("google_adk." + __name__)
 
-MAX_TOKEN = 1024
+MAX_TOKEN = 8192
 
 
 class ClaudeRequest(BaseModel):
@@ -70,6 +71,14 @@ def to_google_genai_finish_reason(
   return "FINISH_REASON_UNSPECIFIED"
 
 
+def _is_image_part(part: types.Part) -> bool:
+  return (
+      part.inline_data
+      and part.inline_data.mime_type
+      and part.inline_data.mime_type.startswith("image")
+  )
+
+
 def part_to_message_block(
     part: types.Part,
 ) -> Union[
@@ -80,7 +89,7 @@ def part_to_message_block(
 ]:
   if part.text:
     return anthropic_types.TextBlockParam(text=part.text, type="text")
-  if part.function_call:
+  elif part.function_call:
     assert part.function_call.name
 
     return anthropic_types.ToolUseBlockParam(
@@ -89,7 +98,7 @@ def part_to_message_block(
         input=part.function_call.args,
         type="tool_use",
     )
-  if part.function_response:
+  elif part.function_response:
     content = ""
     if (
         "result" in part.function_response.response
@@ -105,15 +114,45 @@ def part_to_message_block(
         content=content,
         is_error=False,
     )
-  raise NotImplementedError("Not supported yet.")
+  elif _is_image_part(part):
+    data = base64.b64encode(part.inline_data.data).decode()
+    return anthropic_types.ImageBlockParam(
+        type="image",
+        source=dict(
+            type="base64", media_type=part.inline_data.mime_type, data=data
+        ),
+    )
+  elif part.executable_code:
+    return anthropic_types.TextBlockParam(
+        type="text",
+        text="Code:```python\n" + part.executable_code.code + "\n```",
+    )
+  elif part.code_execution_result:
+    return anthropic_types.TextBlockParam(
+        text="Execution Result:```code_output\n"
+        + part.code_execution_result.output
+        + "\n```",
+        type="text",
+    )
+
+  raise NotImplementedError(f"Not supported yet: {part}")
 
 
 def content_to_message_param(
     content: types.Content,
 ) -> anthropic_types.MessageParam:
+  message_block = []
+  for part in content.parts or []:
+    # Image data is not supported in Claude for model turns.
+    if _is_image_part(part):
+      logger.warning("Image data is not supported in Claude for model turns.")
+      continue
+
+    message_block.append(part_to_message_block(part))
+
   return {
       "role": to_claude_role(content.role),
-      "content": [part_to_message_block(part) for part in content.parts or []],
+      "content": message_block,
   }