code: def test_encoding_and_decoding():
      try:
          sample_text = "Hellö World, this is my input string!"
          # openai encoding + decoding
          openai_tokens = encode(
              model="gpt-3.5-turbo", text=sample_text
          )
          openai_text = decode(
              model="gpt-3.5-turbo", tokens=openai_tokens
          )
  
          assert openai_text == sample_text
  
          # claude encoding + decoding
          claude_tokens = encode(
              model="claude-instant-1", text=sample_text
          )
          claude_text = decode(
              model="claude-instant-1", tokens=claude_tokens.ids
          )
  
          assert claude_text == sample_text
  
          # cohere encoding + decoding
          cohere_tokens = encode(
              model="command-nightly", text=sample_text
          )
          cohere_text = decode(
              model="command-nightly", tokens=cohere_tokens.ids
          )
  
          assert cohere_text == sample_text
  
          # llama2 encoding + decoding
          llama2_tokens = encode(
              model="meta-llama/Llama-2-7b-chat", text=sample_text
          )
          llama2_text = decode(
              model="meta-llama/Llama-2-7b-chat",
              tokens=llama2_tokens.ids,
          )
  
          assert llama2_text == sample_text
      except Exception as e:
          pytest.fail(f"An exception occured: {e}")
  
file_path: litellm/litellm/tests/test_token_counter.py
imports: import sys, os
  import traceback
  import pytest
  import time
  from litellm import token_counter, encode, decode
label_desc: Use image node_id 3 for calling a global function with example usage: test_encoding_and_decoding() without return types