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import os |
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import json |
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from enum import Enum |
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import requests |
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import time |
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from typing import Callable, Optional |
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from litellm.utils import ModelResponse, Usage |
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from .prompt_templates.factory import prompt_factory, custom_prompt |
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class OobaboogaError(Exception): |
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def __init__(self, status_code, message): |
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self.status_code = status_code |
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self.message = message |
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super().__init__( |
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self.message |
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) |
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def validate_environment(api_key): |
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headers = { |
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"accept": "application/json", |
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"content-type": "application/json", |
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} |
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if api_key: |
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headers["Authorization"] = f"Token {api_key}" |
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return headers |
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def completion( |
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model: str, |
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messages: list, |
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api_base: Optional[str], |
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model_response: ModelResponse, |
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print_verbose: Callable, |
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encoding, |
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api_key, |
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logging_obj, |
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custom_prompt_dict={}, |
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optional_params=None, |
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litellm_params=None, |
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logger_fn=None, |
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default_max_tokens_to_sample=None, |
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): |
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headers = validate_environment(api_key) |
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if "https" in model: |
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completion_url = model |
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elif api_base: |
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completion_url = api_base |
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else: |
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raise OobaboogaError(status_code=404, message="API Base not set. Set one via completion(..,api_base='your-api-url')") |
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model = model |
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if model in custom_prompt_dict: |
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model_prompt_details = custom_prompt_dict[model] |
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prompt = custom_prompt( |
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role_dict=model_prompt_details["roles"], |
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initial_prompt_value=model_prompt_details["initial_prompt_value"], |
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final_prompt_value=model_prompt_details["final_prompt_value"], |
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messages=messages |
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) |
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else: |
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prompt = prompt_factory(model=model, messages=messages) |
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completion_url = completion_url + "/api/v1/generate" |
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data = { |
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"prompt": prompt, |
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**optional_params, |
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} |
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logging_obj.pre_call( |
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input=prompt, |
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api_key=api_key, |
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additional_args={"complete_input_dict": data}, |
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) |
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response = requests.post( |
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completion_url, headers=headers, data=json.dumps(data), stream=optional_params["stream"] if "stream" in optional_params else False |
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) |
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if "stream" in optional_params and optional_params["stream"] == True: |
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return response.iter_lines() |
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else: |
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logging_obj.post_call( |
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input=prompt, |
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api_key=api_key, |
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original_response=response.text, |
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additional_args={"complete_input_dict": data}, |
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) |
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print_verbose(f"raw model_response: {response.text}") |
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try: |
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completion_response = response.json() |
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except: |
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raise OobaboogaError(message=response.text, status_code=response.status_code) |
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if "error" in completion_response: |
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raise OobaboogaError( |
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message=completion_response["error"], |
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status_code=response.status_code, |
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) |
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else: |
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try: |
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model_response["choices"][0]["message"]["content"] = completion_response['results'][0]['text'] |
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except: |
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raise OobaboogaError(message=json.dumps(completion_response), status_code=response.status_code) |
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prompt_tokens = len( |
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encoding.encode(prompt) |
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) |
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completion_tokens = len( |
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encoding.encode(model_response["choices"][0]["message"]["content"]) |
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) |
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model_response["created"] = int(time.time()) |
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model_response["model"] = model |
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usage = Usage( |
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prompt_tokens=prompt_tokens, |
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completion_tokens=completion_tokens, |
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total_tokens=prompt_tokens + completion_tokens |
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) |
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model_response.usage = usage |
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return model_response |
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def embedding(): |
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pass |
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