System: 
Current model: gpt-4
Current date: 2024-10-27T18:14:48.459Z

You are a helpful assistant. You can help me by answering my questions. You can also ask me questions.
User: I have a python script that makes requests to the backend of a service called amigochat, that is based on gpt.
I'd like to use this service with an openai api compatible client.
I'll provide you the script and an example response, and you'll write a python script that acts as an intermediary / middleware for converting the requests and response from openai api format to amigochat format and viceversa.
Here's the script:
import requests

headers = {
    'Host': 'api.amigochat.io',
    'X-Device-Platform': 'android',
    'X-Device-Version': '11',
    'X-Device-Brand': 'samsung',
    'X-Device-Id': 'exynos96101',
    'X-App-Build-Number': '12',
    'X-App-Version': '1.0',
    'X-App-Default-Lang': 'it',
    'Content-Type': 'application/json',
    # 'Content-Length': '352',
    # 'Accept-Encoding': 'gzip, deflate, br',
    'User-Agent': 'okhttp/4.12.0',
}

json_data = {
    'messages': [
        {
            'role': 'system',
            'content': 'You are OpenAI o1.  If the response includes mathematical expressions, wrap them in markdown symbols ```math.',
        },
        {
            'role': 'user',
            'content': 'Write a python script for fibonacci pls',
        },
    ],
    'model': 'o1-preview',
    'frequency_penalty': 0,
    'max_tokens': 4000,
    'presence_penalty': 0,
    'stream': False,
    'temperature': 0.1,
    'top_p': 0.95,
}

response = requests.post('https://api.amigochat.io/v1/chat/completions', headers=headers, json=json_data, verify=False)

print(response.content)

# Note: json_data will not be serialized by requests
# exactly as it was in the original request.
#data = '{"messages":[{"role":"system","content":"You are OpenAI o1.  If the response includes mathematical expressions, wrap them in markdown symbols ```math."},{"role":"user","content":"How do I solve partial derivatives equations"}],"model":"o1-mini","frequency_penalty":0,"max_tokens":4000,"presence_penalty":0,"stream":false,"temperature":0.5,"top_p":0.95}'
#response = requests.post('https://api.amigochat.io/v1/chat/completions', headers=headers, data=data, verify=False)


Here's the output of the script:
PS C:\TMP\aiassist\amigochat> python .\request.py
C:\Users\Giovanni\AppData\Roaming\Python\Python310\site-packages\urllib3\connectionpool.py:1043: InsecureRequestWarning: Unverified HTTPS request is being made to host 'api.amigochat.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings
  warnings.warn(
b'data: {"id":"chatcmpl-AN204xMe5A9Fs0BgsruI3xCMEJhMv","object":"chat.completion.chunk","created":1730052596,"model":"o1-preview-2024-09-12","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"Certainly! Here\'s a Python script that generates the Fibonacci sequence up to a specified number of terms:\\n\\n```python\\ndef fibonacci(n):\\n    sequence = []\\n    a, b = 0, 1\\n    for _ in range(n):\\n        sequence.append(a)\\n        a, b = b, a + b\\n    return sequence\\n\\n# Example usage:\\nnum_terms = int(input(\\"Enter the number of terms: \\"))\\nfib_sequence = fibonacci(num_terms)\\nprint(f\\"Fibonacci sequence up to {num_terms} terms:\\")\\nprint(fib_sequence)\\n```\\n\\n**Explanation:**\\n\\nThe Fibonacci sequence is a series of numbers where each number is the sum of the two preceding ones. Mathematically, it\'s defined by the recurrence relation:\\n\\n```math\\nF_n = F_{n-1} + F_{n-2}\\n```\\n\\nwith seed values:\\n\\n```math\\nF_0 = 0,\\\\quad F_1 = 1\\n```\\n\\nIn the script:\\n\\n- We define a function `fibonacci(n)` that generates the sequence up to `n` terms.\\n- We initialize the first two numbers of the sequence (`a` and `b`) as 0 and 1.\\n- We use a loop to calculate subsequent numbers by updating `a` and `b`.\\n\\n**Sample Output:**\\n\\nIf you run the script and input `10`, it will output:\\n\\n```\\nEnter the number of terms: 10\\nFibonacci sequence up to 10 terms:\\n[0, 1, 1, 2, 3, 5, 8, 13, 21, 34]\\n```\\n\\nFeel free to modify the script or let me know if you have any questions!"},"logprobs":null,"finish_reason":"stop"}]}\n\ndata: [DONE]\n\n'

Assistant: Sure, I can help with that! Below is a Python script that acts as an intermediary/middleware to convert requests and responses between the OpenAI API format and the AmigoChat format.

```python
import requests

# AmigoChat headers
amigo_headers = {
    'Host': 'api.amigochat.io',
    'X-Device-Platform': 'android',
    'X-Device-Version': '11',
    'X-Device-Brand': 'samsung',
    'X-Device-Id': 'exynos96101',
    'X-App-Build-Number': '12',
    'X-App-Version': '1.0',
    'X-App-Default-Lang': 'it',
    'Content-Type': 'application/json',
    'User-Agent': 'okhttp/4.12.0',
}

# Function to convert OpenAI request to AmigoChat format
def convert_openai_to_amigochat(openai_request):
    amigochat_request = {
        'messages': [
            {'role': 'system', 'content': openai_request['system_message']},
            {'role': 'user', 'content': openai_request['user_message']}
        ],
        'model': 'o1-preview',
        'frequency_penalty': openai_request.get('frequency_penalty', 0),
        'max_tokens': openai_request.get('max_tokens', 4000),
        'presence_penalty': openai_request.get('presence_penalty', 0),
        'stream': openai_request.get('stream', False),
        'temperature': openai_request.get('temperature', 0.1),
        'top_p': openai_request.get('top_p', 0.95),
    }
    return amigochat_request

# Function to convert AmigoChat response to OpenAI format
def convert_amigochat_to_openai(amigochat_response):
    openai_response = {
        'id': amigochat_response['id'],
        'object': amigochat_response['object'],
        'created': amigochat_response['created'],
        'model': amigochat_response['model'],
        'choices': amigochat_response['choices'],
    }
    return openai_response

# Middleware function to handle the conversion and request
def openai_to_amigochat_middleware(openai_request):
    amigochat_request = convert_openai_to_amigochat(openai_request)
    response = requests.post('https://api.amigochat.io/v1/chat/completions', headers=amigo_headers, json=amigochat_request, verify=False)
    amigochat_response = response.json()
    openai_response = convert_amigochat_to_openai(amigochat_response)
    return openai_response

# Example OpenAI request
openai_request = {
    'system_message': 'You are OpenAI o1. If the response includes mathematical expressions, wrap them in markdown symbols ```math.',
    'user_message': 'Write a python script for fibonacci pls',
    'frequency_penalty': 0,
    'max_tokens': 4000,
    'presence_penalty': 0,
    'stream': False,
    'temperature': 0.1,
    'top_p': 0.95,
}

# Get the response
response = openai_to_amigochat_middleware(openai_request)
print(response)
```

This script defines functions to convert requests and responses between the OpenAI API format and the AmigoChat format, and a middleware function to handle the conversion and make the request to AmigoChat. You can modify the `openai_request` dictionary to test with different inputs. Let me know if you have any questions or need further assistance!
User: Ok, but I want something a bit different: I want to use an external gui client, that supports openai format (as in I can use it with openai api) but I want to use it with the amigochat service.
So I need something that acts as an openai server that the gui can connect to, but handles all the conversion from and to the amigochat service
Assistant: