rename package
Former-commit-id: a07ff0c083558cfe6f474d13027642d3052fee08
This commit is contained in:
hiyouga
186
src/llamafactory/api/chat.py
Normal file
186
src/llamafactory/api/chat.py
Normal file
@@ -0,0 +1,186 @@
|
||||
import json
|
||||
import uuid
|
||||
from typing import TYPE_CHECKING, AsyncGenerator, Dict, List, Optional, Tuple
|
||||
|
||||
from ..data import Role as DataRole
|
||||
from ..extras.logging import get_logger
|
||||
from ..extras.packages import is_fastapi_available
|
||||
from .common import dictify, jsonify
|
||||
from .protocol import (
|
||||
ChatCompletionMessage,
|
||||
ChatCompletionResponse,
|
||||
ChatCompletionResponseChoice,
|
||||
ChatCompletionResponseUsage,
|
||||
ChatCompletionStreamResponse,
|
||||
ChatCompletionStreamResponseChoice,
|
||||
Finish,
|
||||
Function,
|
||||
FunctionCall,
|
||||
Role,
|
||||
ScoreEvaluationResponse,
|
||||
)
|
||||
|
||||
|
||||
if is_fastapi_available():
|
||||
from fastapi import HTTPException, status
|
||||
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from ..chat import ChatModel
|
||||
from .protocol import ChatCompletionRequest, ScoreEvaluationRequest
|
||||
|
||||
|
||||
logger = get_logger(__name__)
|
||||
ROLE_MAPPING = {
|
||||
Role.USER: DataRole.USER.value,
|
||||
Role.ASSISTANT: DataRole.ASSISTANT.value,
|
||||
Role.SYSTEM: DataRole.SYSTEM.value,
|
||||
Role.FUNCTION: DataRole.FUNCTION.value,
|
||||
Role.TOOL: DataRole.OBSERVATION.value,
|
||||
}
|
||||
|
||||
|
||||
def _process_request(request: "ChatCompletionRequest") -> Tuple[List[Dict[str, str]], str, str]:
|
||||
logger.info("==== request ====\n{}".format(json.dumps(dictify(request), indent=2, ensure_ascii=False)))
|
||||
|
||||
if len(request.messages) == 0:
|
||||
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Invalid length")
|
||||
|
||||
if request.messages[0].role == Role.SYSTEM:
|
||||
system = request.messages.pop(0).content
|
||||
else:
|
||||
system = ""
|
||||
|
||||
if len(request.messages) % 2 == 0:
|
||||
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Only supports u/a/u/a/u...")
|
||||
|
||||
input_messages = []
|
||||
for i, message in enumerate(request.messages):
|
||||
if i % 2 == 0 and message.role not in [Role.USER, Role.TOOL]:
|
||||
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Invalid role")
|
||||
elif i % 2 == 1 and message.role not in [Role.ASSISTANT, Role.FUNCTION]:
|
||||
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Invalid role")
|
||||
|
||||
if message.role == Role.ASSISTANT and isinstance(message.tool_calls, list) and len(message.tool_calls):
|
||||
name = message.tool_calls[0].function.name
|
||||
arguments = message.tool_calls[0].function.arguments
|
||||
content = json.dumps({"name": name, "argument": arguments}, ensure_ascii=False)
|
||||
input_messages.append({"role": ROLE_MAPPING[Role.FUNCTION], "content": content})
|
||||
else:
|
||||
input_messages.append({"role": ROLE_MAPPING[message.role], "content": message.content})
|
||||
|
||||
tool_list = request.tools
|
||||
if isinstance(tool_list, list) and len(tool_list):
|
||||
try:
|
||||
tools = json.dumps([dictify(tool.function) for tool in tool_list], ensure_ascii=False)
|
||||
except Exception:
|
||||
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Invalid tools")
|
||||
else:
|
||||
tools = ""
|
||||
|
||||
return input_messages, system, tools
|
||||
|
||||
|
||||
def _create_stream_chat_completion_chunk(
|
||||
completion_id: str,
|
||||
model: str,
|
||||
delta: "ChatCompletionMessage",
|
||||
index: Optional[int] = 0,
|
||||
finish_reason: Optional["Finish"] = None,
|
||||
) -> str:
|
||||
choice_data = ChatCompletionStreamResponseChoice(index=index, delta=delta, finish_reason=finish_reason)
|
||||
chunk = ChatCompletionStreamResponse(id=completion_id, model=model, choices=[choice_data])
|
||||
return jsonify(chunk)
|
||||
|
||||
|
||||
async def create_chat_completion_response(
|
||||
request: "ChatCompletionRequest", chat_model: "ChatModel"
|
||||
) -> "ChatCompletionResponse":
|
||||
completion_id = "chatcmpl-{}".format(uuid.uuid4().hex)
|
||||
input_messages, system, tools = _process_request(request)
|
||||
responses = await chat_model.achat(
|
||||
input_messages,
|
||||
system,
|
||||
tools,
|
||||
do_sample=request.do_sample,
|
||||
temperature=request.temperature,
|
||||
top_p=request.top_p,
|
||||
max_new_tokens=request.max_tokens,
|
||||
num_return_sequences=request.n,
|
||||
stop=request.stop,
|
||||
)
|
||||
|
||||
prompt_length, response_length = 0, 0
|
||||
choices = []
|
||||
for i, response in enumerate(responses):
|
||||
if tools:
|
||||
result = chat_model.engine.template.format_tools.extract(response.response_text)
|
||||
else:
|
||||
result = response.response_text
|
||||
|
||||
if isinstance(result, tuple):
|
||||
name, arguments = result
|
||||
function = Function(name=name, arguments=arguments)
|
||||
tool_call = FunctionCall(id="call_{}".format(uuid.uuid4().hex), function=function)
|
||||
response_message = ChatCompletionMessage(role=Role.ASSISTANT, tool_calls=[tool_call])
|
||||
finish_reason = Finish.TOOL
|
||||
else:
|
||||
response_message = ChatCompletionMessage(role=Role.ASSISTANT, content=result)
|
||||
finish_reason = Finish.STOP if response.finish_reason == "stop" else Finish.LENGTH
|
||||
|
||||
choices.append(ChatCompletionResponseChoice(index=i, message=response_message, finish_reason=finish_reason))
|
||||
prompt_length = response.prompt_length
|
||||
response_length += response.response_length
|
||||
|
||||
usage = ChatCompletionResponseUsage(
|
||||
prompt_tokens=prompt_length,
|
||||
completion_tokens=response_length,
|
||||
total_tokens=prompt_length + response_length,
|
||||
)
|
||||
|
||||
return ChatCompletionResponse(id=completion_id, model=request.model, choices=choices, usage=usage)
|
||||
|
||||
|
||||
async def create_stream_chat_completion_response(
|
||||
request: "ChatCompletionRequest", chat_model: "ChatModel"
|
||||
) -> AsyncGenerator[str, None]:
|
||||
completion_id = "chatcmpl-{}".format(uuid.uuid4().hex)
|
||||
input_messages, system, tools = _process_request(request)
|
||||
if tools:
|
||||
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Cannot stream function calls.")
|
||||
|
||||
if request.n > 1:
|
||||
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Cannot stream multiple responses.")
|
||||
|
||||
yield _create_stream_chat_completion_chunk(
|
||||
completion_id=completion_id, model=request.model, delta=ChatCompletionMessage(role=Role.ASSISTANT, content="")
|
||||
)
|
||||
async for new_token in chat_model.astream_chat(
|
||||
input_messages,
|
||||
system,
|
||||
tools,
|
||||
do_sample=request.do_sample,
|
||||
temperature=request.temperature,
|
||||
top_p=request.top_p,
|
||||
max_new_tokens=request.max_tokens,
|
||||
stop=request.stop,
|
||||
):
|
||||
if len(new_token) != 0:
|
||||
yield _create_stream_chat_completion_chunk(
|
||||
completion_id=completion_id, model=request.model, delta=ChatCompletionMessage(content=new_token)
|
||||
)
|
||||
|
||||
yield _create_stream_chat_completion_chunk(
|
||||
completion_id=completion_id, model=request.model, delta=ChatCompletionMessage(), finish_reason=Finish.STOP
|
||||
)
|
||||
yield "[DONE]"
|
||||
|
||||
|
||||
async def create_score_evaluation_response(
|
||||
request: "ScoreEvaluationRequest", chat_model: "ChatModel"
|
||||
) -> "ScoreEvaluationResponse":
|
||||
if len(request.messages) == 0:
|
||||
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Invalid request")
|
||||
|
||||
scores = await chat_model.aget_scores(request.messages, max_length=request.max_length)
|
||||
return ScoreEvaluationResponse(model=request.model, scores=scores)
|
||||
Reference in New Issue
Block a user