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83ddd7e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 | # Copyright 2025 the LlamaFactory team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import time
from enum import StrEnum, unique
from typing import Any, Literal
from pydantic import BaseModel, Field
@unique
class Role(StrEnum):
USER = "user"
ASSISTANT = "assistant"
SYSTEM = "system"
FUNCTION = "function"
TOOL = "tool"
@unique
class Finish(StrEnum):
STOP = "stop"
LENGTH = "length"
TOOL = "tool_calls"
class ModelCard(BaseModel):
id: str
object: Literal["model"] = "model"
created: int = Field(default_factory=lambda: int(time.time()))
owned_by: Literal["owner"] = "owner"
class ModelList(BaseModel):
object: Literal["list"] = "list"
data: list[ModelCard] = []
class Function(BaseModel):
name: str
arguments: str
class FunctionDefinition(BaseModel):
name: str
description: str
parameters: dict[str, Any]
class FunctionAvailable(BaseModel):
type: Literal["function", "code_interpreter"] = "function"
function: FunctionDefinition | None = None
class FunctionCall(BaseModel):
id: str
type: Literal["function"] = "function"
function: Function
class URL(BaseModel):
url: str
detail: Literal["auto", "low", "high"] = "auto"
class MultimodalInputItem(BaseModel):
type: Literal["text", "image_url", "video_url", "audio_url"]
text: str | None = None
image_url: URL | None = None
video_url: URL | None = None
audio_url: URL | None = None
class ChatMessage(BaseModel):
role: Role
content: str | list[MultimodalInputItem] | None = None
tool_calls: list[FunctionCall] | None = None
class ChatCompletionMessage(BaseModel):
role: Role | None = None
content: str | None = None
tool_calls: list[FunctionCall] | None = None
class ChatCompletionRequest(BaseModel):
model: str
messages: list[ChatMessage]
tools: list[FunctionAvailable] | None = None
do_sample: bool | None = None
temperature: float | None = None
top_p: float | None = None
n: int = 1
presence_penalty: float | None = None
max_tokens: int | None = None
stop: str | list[str] | None = None
stream: bool = False
class ChatCompletionResponseChoice(BaseModel):
index: int
message: ChatCompletionMessage
finish_reason: Finish
class ChatCompletionStreamResponseChoice(BaseModel):
index: int
delta: ChatCompletionMessage
finish_reason: Finish | None = None
class ChatCompletionResponseUsage(BaseModel):
prompt_tokens: int
completion_tokens: int
total_tokens: int
class ChatCompletionResponse(BaseModel):
id: str
object: Literal["chat.completion"] = "chat.completion"
created: int = Field(default_factory=lambda: int(time.time()))
model: str
choices: list[ChatCompletionResponseChoice]
usage: ChatCompletionResponseUsage
class ChatCompletionStreamResponse(BaseModel):
id: str
object: Literal["chat.completion.chunk"] = "chat.completion.chunk"
created: int = Field(default_factory=lambda: int(time.time()))
model: str
choices: list[ChatCompletionStreamResponseChoice]
class ScoreEvaluationRequest(BaseModel):
model: str
messages: list[str]
max_length: int | None = None
class ScoreEvaluationResponse(BaseModel):
id: str
object: Literal["score.evaluation"] = "score.evaluation"
model: str
scores: list[float]
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