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115 changes: 59 additions & 56 deletions astrbot/core/agent/runners/tool_loop_agent_runner.py
Original file line number Diff line number Diff line change
Expand Up @@ -665,6 +665,31 @@ def _append_tool_call_result(tool_call_id: str, content: str) -> None:
),
)

def _handle_image_content(
base64_data: str,
mime_type: str,
tool_call_id: str,
tool_name: str,
content_index: int,
) -> _HandleFunctionToolsResult:
"""Helper to cache image and return result for LLM visibility."""
cached_img = tool_image_cache.save_image(
base64_data=base64_data,
tool_call_id=tool_call_id,
tool_name=tool_name,
index=content_index,
mime_type=mime_type,
)
_append_tool_call_result(
tool_call_id,
(
f"Image returned and cached at path='{cached_img.file_path}'. "
f"Review the image below. Use send_message_to_user to send it to the user if satisfied, "
f"with type='image' and path='{cached_img.file_path}'."
),
)
return _HandleFunctionToolsResult.from_cached_image(cached_img)

# 执行函数调用
for func_tool_name, func_tool_args, func_tool_id in zip(
llm_response.tools_call_name,
Expand Down Expand Up @@ -758,69 +783,47 @@ def _append_tool_call_result(tool_call_id: str, content: str) -> None:
if isinstance(resp, CallToolResult):
res = resp
_final_resp = resp
if isinstance(res.content[0], TextContent):
_append_tool_call_result(
func_tool_id,
res.content[0].text,
)
elif isinstance(res.content[0], ImageContent):
# Cache the image instead of sending directly
cached_img = tool_image_cache.save_image(
base64_data=res.content[0].data,
tool_call_id=func_tool_id,
tool_name=func_tool_name,
index=0,
mime_type=res.content[0].mimeType or "image/png",
)
_append_tool_call_result(
func_tool_id,
(
f"Image returned and cached at path='{cached_img.file_path}'. "
f"Review the image below. Use send_message_to_user to send it to the user if satisfied, "
f"with type='image' and path='{cached_img.file_path}'."
),
)
# Yield image info for LLM visibility (will be handled in step())
yield _HandleFunctionToolsResult.from_cached_image(
cached_img
)
elif isinstance(res.content[0], EmbeddedResource):
resource = res.content[0].resource
if isinstance(resource, TextResourceContents):
# Process all content items in the result
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for content_index, content in enumerate(res.content):
if isinstance(content, TextContent):
_append_tool_call_result(
func_tool_id,
resource.text,
content.text,
)
elif (
isinstance(resource, BlobResourceContents)
and resource.mimeType
and resource.mimeType.startswith("image/")
):
elif isinstance(content, ImageContent):
# Cache the image instead of sending directly
cached_img = tool_image_cache.save_image(
base64_data=resource.blob,
yield _handle_image_content(
base64_data=content.data,
mime_type=content.mimeType or "image/png",
tool_call_id=func_tool_id,
tool_name=func_tool_name,
index=0,
mime_type=resource.mimeType,
)
_append_tool_call_result(
func_tool_id,
(
f"Image returned and cached at path='{cached_img.file_path}'. "
f"Review the image below. Use send_message_to_user to send it to the user if satisfied, "
f"with type='image' and path='{cached_img.file_path}'."
),
)
# Yield image info for LLM visibility
yield _HandleFunctionToolsResult.from_cached_image(
cached_img
)
else:
_append_tool_call_result(
func_tool_id,
"The tool has returned a data type that is not supported.",
content_index=content_index,
)
elif isinstance(content, EmbeddedResource):
resource = content.resource
if isinstance(resource, TextResourceContents):
_append_tool_call_result(
func_tool_id,
resource.text,
)
elif (
isinstance(resource, BlobResourceContents)
and resource.mimeType
and resource.mimeType.startswith("image/")
):
# Cache the image instead of sending directly
yield _handle_image_content(
base64_data=resource.blob,
mime_type=resource.mimeType,
tool_call_id=func_tool_id,
tool_name=func_tool_name,
content_index=content_index,
)
else:
_append_tool_call_result(
func_tool_id,
"The tool has returned a data type that is not supported.",
)

elif resp is None:
# Tool 直接请求发送消息给用户
Expand Down
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