text-generation-webui/extensions/openai/typing.py
2023-11-07 08:23:17 -08:00

130 lines
4.5 KiB
Python

import json
import time
from typing import List
from pydantic import BaseModel, Field
class GenerationOptions(BaseModel):
preset: str | None = Field(default=None, description="The name of a file under text-generation-webui/presets (without the .yaml extension). The sampling parameters that get overwritten by this option are the keys in the default_preset() function in modules/presets.py.")
min_p: float = 0
top_k: int = 0
repetition_penalty: float = 1
repetition_penalty_range: int = 0
typical_p: float = 1
tfs: float = 1
top_a: float = 0
epsilon_cutoff: float = 0
eta_cutoff: float = 0
guidance_scale: float = 1
negative_prompt: str = ''
penalty_alpha: float = 0
mirostat_mode: int = 0
mirostat_tau: float = 5
mirostat_eta: float = 0.1
temperature_last: bool = False
do_sample: bool = True
seed: int = -1
encoder_repetition_penalty: float = 1
no_repeat_ngram_size: int = 0
min_length: int = 0
num_beams: int = 1
length_penalty: float = 1
early_stopping: bool = False
truncation_length: int = 0
max_tokens_second: int = 0
custom_token_bans: str = ""
auto_max_new_tokens: bool = False
ban_eos_token: bool = False
add_bos_token: bool = True
skip_special_tokens: bool = True
grammar_string: str = ""
class CompletionRequestParams(BaseModel):
model: str | None = None
prompt: str | List[str]
best_of: int | None = 1
echo: bool | None = False
frequency_penalty: float | None = 0
logit_bias: dict | None = None
logprobs: int | None = None
max_tokens: int | None = 16
n: int | None = 1
presence_penalty: int | None = 0
stop: str | List[str] | None = None
stream: bool | None = False
suffix: str | None = None
temperature: float | None = 1
top_p: float | None = 1
user: str | None = None
class CompletionRequest(GenerationOptions, CompletionRequestParams):
pass
class CompletionResponse(BaseModel):
id: str
choices: List[dict]
created: int = int(time.time())
model: str
object: str = "text_completion"
usage: dict
class ChatCompletionRequestParams(BaseModel):
messages: List[dict]
model: str | None = None
frequency_penalty: float | None = 0
function_call: str | dict | None = None
functions: List[dict] | None = None
logit_bias: dict | None = None
max_tokens: int | None = None
n: int | None = 1
presence_penalty: int | None = 0
stop: str | List[str] | None = None
stream: bool | None = False
temperature: float | None = 1
top_p: float | None = 1
user: str | None = None
mode: str = Field(default='instruct', description="Valid options: instruct, chat, chat-instruct.")
instruction_template: str | None = Field(default=None, description="An instruction template defined under text-generation-webui/instruction-templates. If not set, the correct template will be guessed using the regex expressions in models/config.yaml.")
name1_instruct: str | None = Field(default=None, description="Overwrites the value set by instruction_template.")
name2_instruct: str | None = Field(default=None, description="Overwrites the value set by instruction_template.")
context_instruct: str | None = Field(default=None, description="Overwrites the value set by instruction_template.")
turn_template: str | None = Field(default=None, description="Overwrites the value set by instruction_template.")
character: str | None = Field(default=None, description="A character defined under text-generation-webui/characters. If not set, the default \"Assistant\" character will be used.")
name1: str | None = Field(default=None, description="Overwrites the value set by character.")
name2: str | None = Field(default=None, description="Overwrites the value set by character.")
context: str | None = Field(default=None, description="Overwrites the value set by character.")
greeting: str | None = Field(default=None, description="Overwrites the value set by character.")
chat_instruct_command: str | None = None
continue_: bool = Field(default=False, description="Makes the last bot message in the history be continued instead of starting a new message.")
class ChatCompletionRequest(GenerationOptions, ChatCompletionRequestParams):
pass
class ChatCompletionResponse(BaseModel):
id: str
choices: List[dict]
created: int = int(time.time())
model: str
object: str = "chat.completion"
usage: dict
def to_json(obj):
return json.dumps(obj.__dict__, indent=4)
def to_dict(obj):
return obj.__dict__