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chore: import upstream snapshot with attribution
2026-07-13 12:02:32 +08:00

121 lines
2.6 KiB
Python

from typing import Any
from browser_use.llm.messages import (
AssistantMessage,
BaseMessage,
ContentPartImageParam,
ContentPartTextParam,
SystemMessage,
UserMessage,
)
class LiteLLMMessageSerializer:
@staticmethod
def _serialize_user_content(
content: str | list[ContentPartTextParam | ContentPartImageParam],
) -> str | list[dict[str, Any]]:
if isinstance(content, str):
return content
parts: list[dict[str, Any]] = []
for part in content:
if part.type == 'text':
parts.append(
{
'type': 'text',
'text': part.text,
}
)
elif part.type == 'image_url':
parts.append(
{
'type': 'image_url',
'image_url': {
'url': part.image_url.url,
'detail': part.image_url.detail,
},
}
)
return parts
@staticmethod
def _serialize_system_content(
content: str | list[ContentPartTextParam],
) -> str | list[dict[str, Any]]:
if isinstance(content, str):
return content
return [
{
'type': 'text',
'text': p.text,
}
for p in content
]
@staticmethod
def _serialize_assistant_content(
content: str | list[Any] | None,
) -> str | list[dict[str, Any]] | None:
if content is None:
return None
if isinstance(content, str):
return content
parts = []
for part in content:
if part.type == 'text':
parts.append(
{
'type': 'text',
'text': part.text,
}
)
elif part.type == 'refusal':
parts.append(
{
'type': 'text',
'text': f'[Refusal] {part.refusal}',
}
)
return parts
@staticmethod
def serialize(messages: list[BaseMessage]) -> list[dict[str, Any]]:
result: list[dict[str, Any]] = []
for msg in messages:
if isinstance(msg, UserMessage):
d: dict[str, Any] = {'role': 'user'}
d['content'] = LiteLLMMessageSerializer._serialize_user_content(msg.content)
if msg.name is not None:
d['name'] = msg.name
result.append(d)
elif isinstance(msg, SystemMessage):
d = {'role': 'system'}
d['content'] = LiteLLMMessageSerializer._serialize_system_content(msg.content)
if msg.name is not None:
d['name'] = msg.name
result.append(d)
elif isinstance(msg, AssistantMessage):
d = {'role': 'assistant'}
d['content'] = LiteLLMMessageSerializer._serialize_assistant_content(msg.content)
if msg.name is not None:
d['name'] = msg.name
if msg.tool_calls:
d['tool_calls'] = [
{
'id': tc.id,
'type': 'function',
'function': {
'name': tc.function.name,
'arguments': tc.function.arguments,
},
}
for tc in msg.tool_calls
]
result.append(d)
return result