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use base64 data for image context

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This commit is contained in:
cuiyuebing
2025-10-31 18:03:37 +08:00
parent 87047e9c8c
commit ac8c5255f8
1 changed files with 21 additions and 59 deletions
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78
alias/src/alias/agent/agents/_browser_agent.py
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@@ -11,8 +11,6 @@ import json
from typing import Type, Optional, Any from typing import Type, Optional, Any
import asyncio import asyncio
import copy import copy
import base64
import shutil
from loguru import logger from loguru import logger
from pydantic import BaseModel from pydantic import BaseModel
@@ -194,22 +192,6 @@ class BrowserAgent(AliasAgentBase):
self.toolkit.register_tool_function(self.browser_subtask_manager) self.toolkit.register_tool_function(self.browser_subtask_manager)
self.toolkit.register_tool_function(self.image_understanding) self.toolkit.register_tool_function(self.image_understanding)
if (
self.model.model_name.startswith("qvq")
or "-vl" in self.model.model_name
or "4o" in self.model.model_name
or "gpt-5" in self.model.model_name
):
# If the model supports multimodal input,
# prepare a directory for screenshots
screenshot_dir = os.path.join(
"./logs/screenshots/",
"tmp" + "_browser_agent",
)
if os.path.exists(screenshot_dir):
shutil.rmtree(screenshot_dir)
os.makedirs(screenshot_dir, exist_ok=True)
self.screenshot_dir = screenshot_dir
self.no_screenshot_tool_list = [ self.no_screenshot_tool_list = [
tool tool
for tool in self.toolkit.get_json_schemas() for tool in self.toolkit.get_json_schemas()
@@ -264,7 +246,6 @@ class BrowserAgent(AliasAgentBase):
await self._summarize_mem() await self._summarize_mem()
msg_reasoning = await self._pure_reasoning() msg_reasoning = await self._pure_reasoning()
tool_calls = msg_reasoning.get_content_blocks("tool_use") tool_calls = msg_reasoning.get_content_blocks("tool_use")
if tool_calls and tool_calls[0]["name"] == "browser_snapshot": if tool_calls and tool_calls[0]["name"] == "browser_snapshot":
msg_reasoning = await self._reasoning_with_observation() msg_reasoning = await self._reasoning_with_observation()
@@ -389,7 +370,6 @@ class BrowserAgent(AliasAgentBase):
for _ in self.snapshot_in_chunk: for _ in self.snapshot_in_chunk:
observe_msg = await self._build_observation() observe_msg = await self._build_observation()
prompt = await self.formatter.format( prompt = await self.formatter.format(
msgs=[ msgs=[
Msg("system", self.sys_prompt, "system"), Msg("system", self.sys_prompt, "system"),
@@ -467,8 +447,7 @@ class BrowserAgent(AliasAgentBase):
self, self,
) -> Msg: ) -> Msg:
"""Get a snapshot in text before reasoning""" """Get a snapshot in text before reasoning"""
image_data: Optional[str] = None
image_path: Optional[str] = None
if ( if (
self.model.model_name.startswith("qvq") self.model.model_name.startswith("qvq")
or "-vl" in self.model.model_name or "-vl" in self.model.model_name
@@ -476,17 +455,10 @@ class BrowserAgent(AliasAgentBase):
or "gpt-5" in self.model.model_name or "gpt-5" in self.model.model_name
): ):
# If the model supports multimodal input, take a screenshot # If the model supports multimodal input, take a screenshot
# and pass it to the observation message # and pass it to the observation message as base64
img_path = os.path.join( image_data = await self._get_screenshot()
self.screenshot_dir,
f"screenshot_{self.iter_n}.png",
)
# if the img_path already exists,
# do not need to take a screenshot again
if not os.path.exists(img_path):
image_path = await self._get_screenshot(img_path)
observe_msg = self.observe_by_chunk(image_path) observe_msg = self.observe_by_chunk(image_data)
return observe_msg return observe_msg
async def _update_chunk_observation_status( async def _update_chunk_observation_status(
@@ -902,11 +874,10 @@ class BrowserAgent(AliasAgentBase):
for msg in summarized_memory: for msg in summarized_memory:
await self.memory.add(msg) await self.memory.add(msg)
async def _get_screenshot(self, img_path: str = "") -> Optional[str]: async def _get_screenshot(self) -> Optional[str]:
""" """
Optionally take a screenshot of the current web page Optionally take a screenshot of the current web page for multimodal prompts.
for use in multimodal prompts. Returns base64-encoded PNG data if available, else None.
Returns the path to the image if available, else None.
""" """
try: try:
# Prepare tool call for screenshot # Prepare tool call for screenshot
@@ -920,7 +891,7 @@ class BrowserAgent(AliasAgentBase):
screenshot_response = await self.toolkit.call_tool_function( screenshot_response = await self.toolkit.call_tool_function(
tool_call, tool_call,
) )
# Extract image path from response # Extract image base64 from response
async for chunk in screenshot_response: async for chunk in screenshot_response:
if ( if (
chunk.content chunk.content
@@ -928,17 +899,12 @@ class BrowserAgent(AliasAgentBase):
and "data" in chunk.content[1] and "data" in chunk.content[1]
): ):
image_data = chunk.content[1]["data"] image_data = chunk.content[1]["data"]
image_data = base64.b64decode(image_data)
with open(img_path, "wb") as fi:
fi.write(image_data)
returned_img_path = img_path
# Exit loop on success
else: else:
returned_img_path = None image_data = None
except Exception: except Exception:
returned_img_path = None image_data = None
return returned_img_path return image_data
@staticmethod @staticmethod
def _filter_execution_text( def _filter_execution_text(
@@ -993,7 +959,7 @@ class BrowserAgent(AliasAgentBase):
for i in range(0, len(snapshot_str), max_length) for i in range(0, len(snapshot_str), max_length)
] ]
def observe_by_chunk(self, image_path: str | None = "") -> Msg: def observe_by_chunk(self, image_data: str | None = "") -> Msg:
"""Create an observation message for chunk-based reasoning. """Create an observation message for chunk-based reasoning.
This method formats the current chunk of the webpage snapshot with This method formats the current chunk of the webpage snapshot with
@@ -1024,12 +990,13 @@ class BrowserAgent(AliasAgentBase):
or "4o" in self.model.model_name or "4o" in self.model.model_name
or "gpt-5" in self.model.model_name or "gpt-5" in self.model.model_name
): ):
if image_path: if image_data:
image_block = ImageBlock( image_block = ImageBlock(
type="image", type="image",
source={ source={
"type": "url", "type": "base64",
"url": image_path, "media_type": "image/png",
"data": image_data,
}, },
) )
content.append(image_block) content.append(image_block)
@@ -1383,19 +1350,14 @@ class BrowserAgent(AliasAgentBase):
), ),
] ]
# Attach screenshot if available # Attach screenshot if available
if image_data: if image_data:
image_data = base64.b64decode(image_data)
img_path = os.path.join(
self.screenshot_dir,
f"screenshot_image_understanding_{self.iter_n}.png",
)
with open(img_path, "wb") as fi:
fi.write(image_data)
image_block = ImageBlock( image_block = ImageBlock(
type="image", type="image",
source={ source={
"type": "url", "type": "base64",
"url": img_path, "media_type": "image/png",
"data": image_data,
}, },
) )
content_blocks.append(image_block) content_blocks.append(image_block)