code: def get_model_cost_map(url: str):
      try:
          with requests.get(
              url, timeout=5
          ) as response:  # set a 5 second timeout for the get request
              response.raise_for_status()  # Raise an exception if the request is unsuccessful
              content = response.json()
              return content
      except Exception as e:
          import importlib.resources
          import json
  
          with importlib.resources.open_text(
              "litellm", "model_prices_and_context_window_backup.json"
          ) as f:
              content = json.load(f)
              return content
  
imports: import threading, requests
  from typing import Callable, List, Optional, Dict, Union, Any
  from litellm.caching import Cache
  from litellm._logging import set_verbose
  from litellm.proxy._types import KeyManagementSystem
  import httpx
  from .timeout import timeout
  from .utils import client, exception_type, get_optional_params, modify_integration, token_counter, cost_per_token, completion_cost, get_litellm_params, Logging, acreate, get_model_list, get_max_tokens, get_model_info, register_prompt_template, validate_environment, check_valid_key, get_llm_provider, register_model, encode, decode, _calculate_retry_after, _should_retry, get_secret
  from .llms.huggingface_restapi import HuggingfaceConfig
  from .llms.anthropic import AnthropicConfig
  from .llms.replicate import ReplicateConfig
  from .llms.cohere import CohereConfig
  from .llms.ai21 import AI21Config
  from .llms.together_ai import TogetherAIConfig
  from .llms.cloudflare import CloudflareConfig
  from .llms.palm import PalmConfig
  from .llms.gemini import GeminiConfig
  from .llms.nlp_cloud import NLPCloudConfig
  from .llms.aleph_alpha import AlephAlphaConfig
  from .llms.petals import PetalsConfig
  from .llms.vertex_ai import VertexAIConfig
  from .llms.sagemaker import SagemakerConfig
  from .llms.ollama import OllamaConfig
  from .llms.maritalk import MaritTalkConfig
  from .llms.bedrock import AmazonTitanConfig, AmazonAI21Config, AmazonAnthropicConfig, AmazonCohereConfig, AmazonLlamaConfig
  from .llms.openai import OpenAIConfig, OpenAITextCompletionConfig
  from .llms.azure import AzureOpenAIConfig, AzureOpenAIError
  from .main import *
  from .integrations import *
  from .exceptions import AuthenticationError, InvalidRequestError, BadRequestError, NotFoundError, RateLimitError, ServiceUnavailableError, OpenAIError, ContextWindowExceededError, ContentPolicyViolationError, BudgetExceededError, APIError, Timeout, APIConnectionError, APIResponseValidationError, UnprocessableEntityError
  from .budget_manager import BudgetManager
  from .proxy.proxy_cli import run_server
  from .router import Router
label_desc: Use image node_id 1 for calling a global function with example usage: get_model_cost_map(url) and returns: content, content