Source code for pm4py.algo.querying.llm.connectors.anthropic

'''
    PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License
along with this program.  If not, see this software project's root or
visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions
Contact: info@processintelligence.solutions
'''
from enum import Enum
from pm4py.util import exec_utils
from typing import Optional, Dict, Any
import base64
import os
from pm4py.util import constants




class Parameters(Enum):
    API_URL = "api_url"
    API_KEY = "api_key"
    ANTHROPIC_MODEL = "anthropic_model"
    IMAGE_PATH = "image_path"
    MAX_TOKENS = "max_tokens"
    THINKING_TOKENS = "thinking_tokens"





def encode_image(image_path):
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode("utf-8")





def apply(prompt: str, parameters: Optional[Dict[Any, Any]] = None) -> str:
    import requests

    if parameters is None:
        parameters = {}

    image_path = exec_utils.get_param_value(
        Parameters.IMAGE_PATH, parameters, None
    )
    api_key = exec_utils.get_param_value(
        Parameters.API_KEY, parameters, constants.ANTHROPIC_API_KEY
    )
    api_url = exec_utils.get_param_value(Parameters.API_URL, parameters, None)
    max_tokens = exec_utils.get_param_value(
        Parameters.MAX_TOKENS, parameters, 8192
    )
    thinking_tokens = exec_utils.get_param_value(Parameters.THINKING_TOKENS, parameters, None)
    simple_content_specification = image_path is None

    if api_url is None:
        api_url = "https://api.anthropic.com/v1/"
    else:
        if not api_url.endswith("/"):
            api_url += "/"

    model = exec_utils.get_param_value(
        Parameters.ANTHROPIC_MODEL,
        parameters,
        constants.ANTHROPIC_DEFAULT_MODEL,
    )

    headers = {
        "content-type": "application/json",
        "anthropic-version": "2023-06-01",
        "x-api-key": api_key,
    }

    messages = []
    if simple_content_specification:
        messages.append({"role": "user", "content": prompt})
    else:
        messages.append(
            {"role": "user", "content": [{"type": "text", "text": prompt}]}
        )

    payload = {"model": model, "max_tokens": max_tokens}

    if thinking_tokens is not None:
        thinking_tokens = min(thinking_tokens, 65536)
        headers["anthropic-beta"] = "output-128k-2025-02-19"
        payload["max_tokens"] = payload["max_tokens"] + thinking_tokens
        payload["max_tokens"] = min(payload["max_tokens"], 128000)
        payload["thinking"] = {"type": "enabled", "budget_tokens": thinking_tokens}

    if image_path is not None:
        image_format = os.path.splitext(image_path)[1][1:].lower()
        base64_image = encode_image(image_path)
        artefact = {
            "type": "image",
            "source": {
                "type": "base64",
                "media_type": "image/" + image_format,
                "data": base64_image,
            },
        }
        messages[0]["content"].append(artefact)

    payload["messages"] = messages

    response = requests.post(
        api_url + "messages", headers=headers, json=payload
    )
    response = response.json()

    if "error" in response:
        # raise an exception when the request fails, with the provided message
        raise Exception(response["error"]["message"])

    return response["content"][-1]["text"]