chore: import upstream snapshot with attribution
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This commit is contained in:
@@ -0,0 +1,284 @@
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import base64
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import os
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from datetime import datetime, timezone
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from pathlib import Path
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import anyio
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from bubus import BaseEvent
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from pydantic import Field, field_validator
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from uuid_extensions import uuid7str
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MAX_STRING_LENGTH = 500000 # 100K chars ~ 25k tokens should be enough
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MAX_URL_LENGTH = 100000
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MAX_TASK_LENGTH = 100000
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MAX_COMMENT_LENGTH = 2000
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MAX_FILE_CONTENT_SIZE = 50 * 1024 * 1024 # 50MB
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class UpdateAgentTaskEvent(BaseEvent):
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# Required fields for identification
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id: str # The task ID to update
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user_id: str = Field(max_length=255) # For authorization
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device_id: str | None = Field(None, max_length=255) # Device ID for auth lookup
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# Optional fields that can be updated
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stopped: bool | None = None
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paused: bool | None = None
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done_output: str | None = Field(None, max_length=MAX_STRING_LENGTH)
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finished_at: datetime | None = None
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agent_state: dict | None = None
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user_feedback_type: str | None = Field(None, max_length=10) # UserFeedbackType enum value as string
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user_comment: str | None = Field(None, max_length=MAX_COMMENT_LENGTH)
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gif_url: str | None = Field(None, max_length=MAX_URL_LENGTH)
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@classmethod
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def from_agent(cls, agent) -> 'UpdateAgentTaskEvent':
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"""Create an UpdateAgentTaskEvent from an Agent instance"""
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if not hasattr(agent, '_task_start_time'):
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raise ValueError('Agent must have _task_start_time attribute')
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done_output = agent.history.final_result() if agent.history else None
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if done_output and len(done_output) > MAX_STRING_LENGTH:
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done_output = done_output[:MAX_STRING_LENGTH]
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return cls(
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id=str(agent.task_id),
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user_id='', # To be filled by cloud handler
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device_id=agent.cloud_sync.auth_client.device_id
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if hasattr(agent, 'cloud_sync') and agent.cloud_sync and agent.cloud_sync.auth_client
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else None,
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stopped=agent.state.stopped if hasattr(agent.state, 'stopped') else False,
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paused=agent.state.paused if hasattr(agent.state, 'paused') else False,
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done_output=done_output,
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finished_at=datetime.now(timezone.utc) if agent.history and agent.history.is_done() else None,
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agent_state=agent.state.model_dump() if hasattr(agent.state, 'model_dump') else {},
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user_feedback_type=None,
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user_comment=None,
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gif_url=None,
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# user_feedback_type and user_comment would be set by the API/frontend
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# gif_url would be set after GIF generation if needed
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)
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class CreateAgentOutputFileEvent(BaseEvent):
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# Model fields
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id: str = Field(default_factory=uuid7str)
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user_id: str = Field(max_length=255)
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device_id: str | None = Field(None, max_length=255) # Device ID for auth lookup
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task_id: str
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file_name: str = Field(max_length=255)
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file_content: str | None = None # Base64 encoded file content
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content_type: str | None = Field(None, max_length=100) # MIME type for file uploads
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created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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@field_validator('file_content')
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@classmethod
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def validate_file_size(cls, v: str | None) -> str | None:
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"""Validate base64 file content size."""
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if v is None:
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return v
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# Remove data URL prefix if present
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if ',' in v:
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v = v.split(',')[1]
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# Estimate decoded size (base64 is ~33% larger)
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estimated_size = len(v) * 3 / 4
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if estimated_size > MAX_FILE_CONTENT_SIZE:
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raise ValueError(f'File content exceeds maximum size of {MAX_FILE_CONTENT_SIZE / 1024 / 1024}MB')
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return v
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@classmethod
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async def from_agent_and_file(cls, agent, output_path: str) -> 'CreateAgentOutputFileEvent':
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"""Create a CreateAgentOutputFileEvent from a file path"""
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gif_path = Path(output_path)
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if not gif_path.exists():
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raise FileNotFoundError(f'File not found: {output_path}')
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gif_size = os.path.getsize(gif_path)
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# Read GIF content for base64 encoding if needed
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gif_content = None
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if gif_size < 50 * 1024 * 1024: # Only read if < 50MB
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async with await anyio.open_file(gif_path, 'rb') as f:
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gif_bytes = await f.read()
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gif_content = base64.b64encode(gif_bytes).decode('utf-8')
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return cls(
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user_id='', # To be filled by cloud handler
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device_id=agent.cloud_sync.auth_client.device_id
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if hasattr(agent, 'cloud_sync') and agent.cloud_sync and agent.cloud_sync.auth_client
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else None,
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task_id=str(agent.task_id),
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file_name=gif_path.name,
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file_content=gif_content, # Base64 encoded
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content_type='image/gif',
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)
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class CreateAgentStepEvent(BaseEvent):
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# Model fields
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id: str = Field(default_factory=uuid7str)
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user_id: str = Field(max_length=255) # Added for authorization checks
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device_id: str | None = Field(None, max_length=255) # Device ID for auth lookup
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created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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agent_task_id: str
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step: int
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evaluation_previous_goal: str = Field(max_length=MAX_STRING_LENGTH)
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memory: str = Field(max_length=MAX_STRING_LENGTH)
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next_goal: str = Field(max_length=MAX_STRING_LENGTH)
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actions: list[dict]
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screenshot_url: str | None = Field(None, max_length=MAX_FILE_CONTENT_SIZE) # ~50MB for base64 images
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url: str = Field(default='', max_length=MAX_URL_LENGTH)
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@field_validator('screenshot_url')
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@classmethod
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def validate_screenshot_size(cls, v: str | None) -> str | None:
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"""Validate screenshot URL or base64 content size."""
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if v is None or not v.startswith('data:'):
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return v
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# It's base64 data, check size
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if ',' in v:
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base64_part = v.split(',')[1]
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estimated_size = len(base64_part) * 3 / 4
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if estimated_size > MAX_FILE_CONTENT_SIZE:
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raise ValueError(f'Screenshot content exceeds maximum size of {MAX_FILE_CONTENT_SIZE / 1024 / 1024}MB')
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return v
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@classmethod
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def from_agent_step(
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cls, agent, model_output, result: list, actions_data: list[dict], browser_state_summary
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) -> 'CreateAgentStepEvent':
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"""Create a CreateAgentStepEvent from agent step data"""
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# Get first action details if available
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first_action = model_output.action[0] if model_output.action else None
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# Extract current state from model output
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current_state = model_output.current_state if hasattr(model_output, 'current_state') else None
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# Capture screenshot as base64 data URL if available
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screenshot_url = None
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if browser_state_summary.screenshot:
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screenshot_url = f'data:image/png;base64,{browser_state_summary.screenshot}'
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import logging
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logger = logging.getLogger(__name__)
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logger.debug(f'📸 Including screenshot in CreateAgentStepEvent, length: {len(browser_state_summary.screenshot)}')
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else:
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import logging
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logger = logging.getLogger(__name__)
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logger.debug('📸 No screenshot in browser_state_summary for CreateAgentStepEvent')
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return cls(
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user_id='', # To be filled by cloud handler
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device_id=agent.cloud_sync.auth_client.device_id
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if hasattr(agent, 'cloud_sync') and agent.cloud_sync and agent.cloud_sync.auth_client
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else None,
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agent_task_id=str(agent.task_id),
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step=agent.state.n_steps,
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evaluation_previous_goal=current_state.evaluation_previous_goal if current_state else '',
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memory=current_state.memory if current_state else '',
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next_goal=current_state.next_goal if current_state else '',
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actions=actions_data, # List of action dicts
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url=browser_state_summary.url,
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screenshot_url=screenshot_url,
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)
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class CreateAgentTaskEvent(BaseEvent):
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# Model fields
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id: str = Field(default_factory=uuid7str)
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user_id: str = Field(max_length=255) # Added for authorization checks
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device_id: str | None = Field(None, max_length=255) # Device ID for auth lookup
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agent_session_id: str
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llm_model: str = Field(max_length=200) # LLMModel enum value as string
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stopped: bool = False
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paused: bool = False
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task: str = Field(max_length=MAX_TASK_LENGTH)
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done_output: str | None = Field(None, max_length=MAX_STRING_LENGTH)
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scheduled_task_id: str | None = None
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started_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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finished_at: datetime | None = None
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agent_state: dict = Field(default_factory=dict)
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user_feedback_type: str | None = Field(None, max_length=10) # UserFeedbackType enum value as string
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user_comment: str | None = Field(None, max_length=MAX_COMMENT_LENGTH)
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gif_url: str | None = Field(None, max_length=MAX_URL_LENGTH)
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@classmethod
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def from_agent(cls, agent) -> 'CreateAgentTaskEvent':
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"""Create a CreateAgentTaskEvent from an Agent instance"""
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return cls(
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id=str(agent.task_id),
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user_id='', # To be filled by cloud handler
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device_id=agent.cloud_sync.auth_client.device_id
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if hasattr(agent, 'cloud_sync') and agent.cloud_sync and agent.cloud_sync.auth_client
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else None,
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agent_session_id=str(agent.session_id),
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task=agent.task,
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llm_model=agent.llm.model_name,
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agent_state=agent.state.model_dump() if hasattr(agent.state, 'model_dump') else {},
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stopped=False,
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paused=False,
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done_output=None,
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started_at=datetime.fromtimestamp(agent._task_start_time, tz=timezone.utc),
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finished_at=None,
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user_feedback_type=None,
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user_comment=None,
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gif_url=None,
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)
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class CreateAgentSessionEvent(BaseEvent):
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# Model fields
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id: str = Field(default_factory=uuid7str)
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user_id: str = Field(max_length=255)
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device_id: str | None = Field(None, max_length=255) # Device ID for auth lookup
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browser_session_id: str = Field(max_length=255)
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browser_session_live_url: str = Field(max_length=MAX_URL_LENGTH)
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browser_session_cdp_url: str = Field(max_length=MAX_URL_LENGTH)
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browser_session_stopped: bool = False
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browser_session_stopped_at: datetime | None = None
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is_source_api: bool | None = None
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browser_state: dict = Field(default_factory=dict)
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browser_session_data: dict | None = None
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@classmethod
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def from_agent(cls, agent) -> 'CreateAgentSessionEvent':
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"""Create a CreateAgentSessionEvent from an Agent instance"""
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return cls(
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id=str(agent.session_id),
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user_id='', # To be filled by cloud handler
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device_id=agent.cloud_sync.auth_client.device_id
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if hasattr(agent, 'cloud_sync') and agent.cloud_sync and agent.cloud_sync.auth_client
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else None,
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browser_session_id=agent.browser_session.id,
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browser_session_live_url='', # To be filled by cloud handler
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browser_session_cdp_url='', # To be filled by cloud handler
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browser_state={
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'viewport': agent.browser_profile.viewport if agent.browser_profile else {'width': 1280, 'height': 720},
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'user_agent': agent.browser_profile.user_agent if agent.browser_profile else None,
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'headless': agent.browser_profile.headless if agent.browser_profile else True,
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'initial_url': None, # Will be updated during execution
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'final_url': None, # Will be updated during execution
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'total_pages_visited': 0, # Will be updated during execution
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'session_duration_seconds': 0, # Will be updated during execution
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},
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browser_session_data={
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'cookies': [],
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'secrets': {},
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# TODO: send secrets safely so tasks can be replayed on cloud seamlessly
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# 'secrets': dict(agent.sensitive_data) if agent.sensitive_data else {},
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'allowed_domains': agent.browser_profile.allowed_domains if agent.browser_profile else [],
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},
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)
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class UpdateAgentSessionEvent(BaseEvent):
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"""Event to update an existing agent session"""
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# Model fields
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id: str # Session ID to update
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user_id: str = Field(max_length=255)
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device_id: str | None = Field(None, max_length=255)
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browser_session_stopped: bool | None = None
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browser_session_stopped_at: datetime | None = None
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end_reason: str | None = Field(None, max_length=100) # Why the session ended
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