Call the language model with a prompt and optional images. Args: content (str): The prompt content. images (list[str]): A list of image file paths. system_message (str): The system message. history (list): The conversation history.
(
self,
content: str,
images: list[str] = None,
system_message: str = None,
history: list = None,
delay_batch: bool = False,
return_json: bool = False,
return_message: bool = False,
)
| 97 | |
| 98 | @tenacity |
| 99 | def __call__( |
| 100 | self, |
| 101 | content: str, |
| 102 | images: list[str] = None, |
| 103 | system_message: str = None, |
| 104 | history: list = None, |
| 105 | delay_batch: bool = False, |
| 106 | return_json: bool = False, |
| 107 | return_message: bool = False, |
| 108 | ) -> str | dict | list: |
| 109 | """ |
| 110 | Call the language model with a prompt and optional images. |
| 111 | |
| 112 | Args: |
| 113 | content (str): The prompt content. |
| 114 | images (list[str]): A list of image file paths. |
| 115 | system_message (str): The system message. |
| 116 | history (list): The conversation history. |
| 117 | delay_batch (bool): Whether to delay return of response. |
| 118 | return_json (bool): Whether to return the response as JSON. |
| 119 | return_message (bool): Whether to return the message. |
| 120 | |
| 121 | Returns: |
| 122 | str | dict | list: The response from the model. |
| 123 | """ |
| 124 | if content.startswith("You are"): |
| 125 | system_message, content = content.split("\n", 1) |
| 126 | if history is None: |
| 127 | history = [] |
| 128 | if isinstance(images, str): |
| 129 | images = [images] |
| 130 | system, message = self.format_message(content, images, system_message) |
| 131 | if self._use_batch: |
| 132 | result = run_async(self._run_batch(system + history + message, delay_batch)) |
| 133 | if delay_batch: |
| 134 | return |
| 135 | try: |
| 136 | response = result.to_dict()["result"][0]["choices"][0]["message"][ |
| 137 | "content" |
| 138 | ] |
| 139 | except Exception as e: |
| 140 | print("Failed to get response from batch") |
| 141 | raise e |
| 142 | elif self._use_openai: |
| 143 | completion = self.client.chat.completions.create( |
| 144 | model=self.model, messages=system + history + message |
| 145 | ) |
| 146 | response = completion.choices[0].message.content |
| 147 | else: |
| 148 | response = requests.post( |
| 149 | self.api_base, |
| 150 | json={ |
| 151 | "system": system_message, |
| 152 | "prompt": content, |
| 153 | "image": [ |
| 154 | i["image_url"]["url"] |
| 155 | for i in message[-1]["content"] |
| 156 | if i["type"] == "image_url" |
nothing calls this directly
no test coverage detected