ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
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import base64
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from google.genai.types import Content, ContentListUnion, Part
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from browser_use.llm.messages import (
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AssistantMessage,
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BaseMessage,
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SystemMessage,
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UserMessage,
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)
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class GoogleMessageSerializer:
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"""Serializer for converting messages to Google Gemini format."""
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@staticmethod
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def serialize_messages(
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messages: list[BaseMessage], include_system_in_user: bool = False
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) -> tuple[ContentListUnion, str | None]:
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"""
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Convert a list of BaseMessages to Google format, extracting system message.
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Google handles system instructions separately from the conversation, so we need to:
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1. Extract any system messages and return them separately as a string (or include in first user message if flag is set)
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2. Convert the remaining messages to Content objects
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Args:
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messages: List of messages to convert
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include_system_in_user: If True, system/developer messages are prepended to the first user message
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Returns:
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A tuple of (formatted_messages, system_message) where:
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- formatted_messages: List of Content objects for the conversation
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- system_message: System instruction string or None
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"""
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messages = [m.model_copy(deep=True) for m in messages]
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formatted_messages: ContentListUnion = []
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system_message: str | None = None
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system_parts: list[str] = []
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for i, message in enumerate(messages):
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role = message.role if hasattr(message, 'role') else None
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# Handle system/developer messages
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if isinstance(message, SystemMessage) or role in ['system', 'developer']:
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# Extract system message content as string
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if isinstance(message.content, str):
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if include_system_in_user:
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system_parts.append(message.content)
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else:
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system_message = message.content
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elif message.content is not None:
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# Handle Iterable of content parts
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parts = []
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for part in message.content:
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if part.type == 'text':
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parts.append(part.text)
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combined_text = '\n'.join(parts)
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if include_system_in_user:
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system_parts.append(combined_text)
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else:
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system_message = combined_text
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continue
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# Determine the role for non-system messages
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if isinstance(message, UserMessage):
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role = 'user'
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elif isinstance(message, AssistantMessage):
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role = 'model'
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else:
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# Default to user for any unknown message types
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role = 'user'
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# Initialize message parts
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message_parts: list[Part] = []
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# If this is the first user message and we have system parts, prepend them
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if include_system_in_user and system_parts and role == 'user' and not formatted_messages:
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system_text = '\n\n'.join(system_parts)
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if isinstance(message.content, str):
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message_parts.append(Part.from_text(text=f'{system_text}\n\n{message.content}'))
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else:
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# Add system text as the first part
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message_parts.append(Part.from_text(text=system_text))
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system_parts = [] # Clear after using
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else:
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# Extract content and create parts normally
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if isinstance(message.content, str):
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# Regular text content
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message_parts = [Part.from_text(text=message.content)]
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elif message.content is not None:
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# Handle Iterable of content parts
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for part in message.content:
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if part.type == 'text':
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message_parts.append(Part.from_text(text=part.text))
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elif part.type == 'refusal':
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message_parts.append(Part.from_text(text=f'[Refusal] {part.refusal}'))
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elif part.type == 'image_url':
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# Handle images
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url = part.image_url.url
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# Format: data:image/png;base64,<data>
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header, data = url.split(',', 1)
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# Decode base64 to bytes
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image_bytes = base64.b64decode(data)
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# Add image part
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image_part = Part.from_bytes(data=image_bytes, mime_type='image/png')
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message_parts.append(image_part)
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# Create the Content object
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if message_parts:
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final_message = Content(role=role, parts=message_parts)
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# for some reason, the type checker is not able to infer the type of formatted_messages
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formatted_messages.append(final_message) # type: ignore
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return formatted_messages, system_message
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