phind.com api (gpt-4 + internet) best answers

README.md

@@ -21,6 +21,7 @@ This repository provides reverse-engineered language models from various sources
 - [Sites with Authentication (Will Reverse Engineer but Need Account Access)](#sites-with-authentication)
 - [Usage Examples](#usage-examples)
   - [`quora (poe)`](#example-poe)
+  - [`phind`](#example-phind)
   - [`t3nsor`](#example-t3nsor)
   - [`ora`](#example-ora)
   - [`writesonic`](#example-writesonic)
@@ -36,6 +37,7 @@ This repository provides reverse-engineered language models from various sources
 | [writesonic.com](https://writesonic.com)|GPT-3.5 / Internet|
 | [t3nsor.com](https://t3nsor.com)|GPT-3.5|
 | [you.com](https://you.com)|GPT-3.5 / Internet / good search|
+| [phind.com](https://phind.com)|GPT-4 / Internet / good search|
 
 ## Sites with Authentication <a name="sites-with-authentication"></a>
 
@@ -97,6 +99,26 @@ response = quora.Completion.create(model  = 'gpt-4',
 print(response.completion.choices[0].text)    
 ```     
 
+### Example: `phind` (use like openai pypi package) <a name="example-phind"></a>
+
+```python
+# HELP WANTED: tls_client does not accept stream and timeout gets hit with long responses
+
+import phind
+
+prompt = 'hello world'
+
+result = phind.Completion.create(
+    model  = 'gpt-4',
+    prompt = prompt,
+    results     = phind.Search.create(prompt, actualSearch = False), # create search (set actualSearch to False to disable internet)
+    creative    = False,
+    detailed    = False,
+    codeContext = '') # up to 3000 chars of code
+
+print(result.completion.choices[0].text)
+```
+
 ### Example: `t3nsor` (use like openai pypi package) <a name="example-t3nsor"></a>
 
 ```python

phind/__init__.py

@@ -0,0 +1,145 @@
+from urllib.parse import quote
+from tls_client   import Session
+from time         import time
+from datetime     import datetime
+
+client         = Session(client_identifier='chrome110')
+client.headers = {
+    'authority': 'www.phind.com',
+    'accept': '*/*',
+    'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
+    'content-type': 'application/json',
+    'origin': 'https://www.phind.com',
+    'referer': 'https://www.phind.com/search',
+    'sec-ch-ua': '"Chromium";v="110", "Google Chrome";v="110", "Not:A-Brand";v="99"',
+    'sec-ch-ua-mobile': '?0',
+    'sec-ch-ua-platform': '"macOS"',
+    'sec-fetch-dest': 'empty',
+    'sec-fetch-mode': 'cors',
+    'sec-fetch-site': 'same-origin',
+    'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36',
+}
+
+class PhindResponse:
+
+    class Completion:
+
+        class Choices:
+            def __init__(self, choice: dict) -> None:
+                self.text           = choice['text']
+                self.content        = self.text.encode()
+                self.index          = choice['index']
+                self.logprobs       = choice['logprobs']
+                self.finish_reason  = choice['finish_reason']
+
+            def __repr__(self) -> str:
+                return f'''<__main__.APIResponse.Completion.Choices(\n    text           = {self.text.encode()},\n    index          = {self.index},\n    logprobs       = {self.logprobs},\n    finish_reason  = {self.finish_reason})object at 0x1337>'''
+
+        def __init__(self, choices: dict) -> None:
+            self.choices = [self.Choices(choice) for choice in choices]
+
+    class Usage:
+        def __init__(self, usage_dict: dict) -> None:
+            self.prompt_tokens      = usage_dict['prompt_tokens']
+            self.completion_tokens  = usage_dict['completion_tokens']
+            self.total_tokens       = usage_dict['total_tokens']
+
+        def __repr__(self):
+            return f'''<__main__.APIResponse.Usage(\n    prompt_tokens      = {self.prompt_tokens},\n    completion_tokens  = {self.completion_tokens},\n    total_tokens       = {self.total_tokens})object at 0x1337>'''
+
+    def __init__(self, response_dict: dict) -> None:
+
+        self.response_dict  = response_dict
+        self.id             = response_dict['id']
+        self.object         = response_dict['object']
+        self.created        = response_dict['created']
+        self.model          = response_dict['model']
+        self.completion     = self.Completion(response_dict['choices'])
+        self.usage          = self.Usage(response_dict['usage'])
+
+    def json(self) -> dict:
+        return self.response_dict
+
+
+class Search:
+    def create(prompt: str, actualSearch: bool = True, language: str = 'en') -> dict: # None = no search
+        if not actualSearch:
+            return {
+                '_type': 'SearchResponse',
+                'queryContext': {
+                    'originalQuery': prompt
+                },
+                'webPages': {
+                    'webSearchUrl': f'https://www.bing.com/search?q={quote(prompt)}',
+                    'totalEstimatedMatches': 0,
+                    'value': []
+                },
+                'rankingResponse': {
+                    'mainline': {
+                        'items': []
+                    }
+                }
+            }
+
+        return client.post('https://www.phind.com/api/bing/search', json = { 
+            'q': prompt,
+            'userRankList': {},
+            'browserLanguage': language}).json()['rawBingResults']
+
+class Completion:
+    def create(
+        model = 'gpt-4', 
+        prompt: str = '', 
+        results: dict = None, 
+        creative: bool = False, 
+        detailed: bool = False, 
+        codeContext: str = '',
+        language: str = 'en') -> PhindResponse:
+
+        if results is None:
+            results = Search.create(prompt, actualSearch = True)
+
+        if len(codeContext) > 2999:
+            raise ValueError('codeContext must be less than 3000 characters')
+
+        models = {
+            'gpt-4' : 'expert',
+            'gpt-3.5-turbo' : 'intermediate',
+            'gpt-3.5': 'intermediate',
+        }
+
+        json_data = {
+            'question'    : prompt,
+            'bingResults' : results, #response.json()['rawBingResults'],
+            'codeContext' : codeContext,
+            'options': {
+                'skill'   : models[model],
+                'date'    : datetime.now().strftime("%d/%m/%Y"),
+                'language': language,
+                'detailed': detailed,
+                'creative': creative
+            }
+        }
+
+        completion = ''
+        response   = client.post('https://www.phind.com/api/infer/answer', json=json_data, timeout_seconds=200)
+        for line in response.text.split('\r\n\r\n'):
+            completion += (line.replace('data: ', ''))
+
+        return  PhindResponse({
+            'id'     : f'cmpl-1337-{int(time())}', 
+            'object' : 'text_completion', 
+            'created': int(time()), 
+            'model'  : models[model], 
+            'choices': [{
+                    'text'          : completion, 
+                    'index'         : 0, 
+                    'logprobs'      : None, 
+                    'finish_reason' : 'stop'
+            }], 
+            'usage': {
+                'prompt_tokens'     : len(prompt), 
+                'completion_tokens' : len(completion), 
+                'total_tokens'      : len(prompt) + len(completion)
+            }
+        })

testing/phind_test.py

@@ -0,0 +1,13 @@
+import phind
+
+prompt = 'hello world'
+
+result = phind.Completion.create(
+    model  = 'gpt-4',
+    prompt = prompt,
+    results     = phind.Search.create(prompt, actualSearch = False), # create search (set actualSearch to False to disable internet)
+    creative    = False,
+    detailed    = False,
+    codeContext = '') # up to 3000 chars of code
+
+print(result.completion.choices[0].text)