2 files changed, 416 insertions, 315 deletions

diff --git a/g4f/Provider/Vercel.py b/g4f/Provider/Vercel.py
index 8d2137bf..e10aa232 100644
--- a/g4f/Provider/Vercel.py
+++ b/g4f/Provider/Vercel.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-import json, base64, requests, random, uuid
+import json, base64, requests, random, os
 
 try:
     import execjs
@@ -13,12 +13,13 @@ from .base_provider import AbstractProvider
 from ..errors       import MissingRequirementsError
 
 class Vercel(AbstractProvider):
-    url = 'https://sdk.vercel.ai'
-    working = False
+    url = 'https://chat.vercel.ai'
+    working = True
     supports_message_history = True 
-    supports_gpt_35_turbo = True
-    supports_stream = True
-
+    supports_gpt_35_turbo    = True
+    supports_stream          = True
+    supports_gpt_4           = False
+    
     @staticmethod
     def create_completion(
         model: str,
@@ -29,43 +30,34 @@ class Vercel(AbstractProvider):
     ) -> CreateResult:
         if not has_requirements:
             raise MissingRequirementsError('Install "PyExecJS" package')
-
-        if not model:
-            model = "gpt-3.5-turbo"
-        elif model not in model_info:
-            raise ValueError(f"Vercel does not support {model}")
-
+        
         headers = {
-            'authority': 'sdk.vercel.ai',
+            'authority': 'chat.vercel.ai',
             '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',
             'cache-control': 'no-cache',
             'content-type': 'application/json',
             'custom-encoding': get_anti_bot_token(),
-            'origin': 'https://sdk.vercel.ai',
+            'origin': 'https://chat.vercel.ai',
             'pragma': 'no-cache',
-            'referer': 'https://sdk.vercel.ai/',
-            'sec-ch-ua': '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
+            'referer': 'https://chat.vercel.ai/',
+            'sec-ch-ua': '"Chromium";v="122", "Not(A:Brand";v="24", "Google Chrome";v="122"',
             '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': f'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.{random.randint(99, 999)}.{random.randint(99, 999)} Safari/537.36',
+            'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36',
         }
 
         json_data = {
-            'model'       : model_info[model]['id'],
-            'messages'    : messages,
-            'playgroundId': str(uuid.uuid4()),
-            'chatIndex'   : 0,
-            **model_info[model]['default_params'],
-            **kwargs
+            'messages': messages,
+            'id'      : f'{os.urandom(3).hex()}a',
         }
-
-        max_retries  = kwargs.get('max_retries', 20)
+        
+        max_retries  = kwargs.get('max_retries', 6)
         for _ in range(max_retries):
-            response = requests.post('https://sdk.vercel.ai/api/generate', 
+            response = requests.post('https://chat.vercel.ai/api/chat', 
                                     headers=headers, json=json_data, stream=True, proxies={"https": proxy})
             try:
                 response.raise_for_status()
@@ -74,8 +66,7 @@ class Vercel(AbstractProvider):
             for token in response.iter_content(chunk_size=None):
                 yield token.decode()
             break
-
-
+        
 def get_anti_bot_token() -> str:
     headers = {
         'authority': 'sdk.vercel.ai',
@@ -93,7 +84,7 @@ def get_anti_bot_token() -> str:
         'user-agent': f'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.{random.randint(99, 999)}.{random.randint(99, 999)} Safari/537.36',
     }
 
-    response = requests.get('https://sdk.vercel.ai/openai.jpeg', 
+    response = requests.get('https://chat.vercel.ai/openai.jpeg', 
                             headers=headers).text
 
     raw_data = json.loads(base64.b64decode(response, 
@@ -101,292 +92,10 @@ def get_anti_bot_token() -> str:
 
     js_script = '''const globalThis={marker:"mark"};String.prototype.fontcolor=function(){return `<font>${this}</font>`};
         return (%s)(%s)''' % (raw_data['c'], raw_data['a'])
+        
+    sec_list = [execjs.compile(js_script).call('')[0], [], "sentinel"]
 
-    raw_token = json.dumps({'r': execjs.compile(js_script).call(''), 't': raw_data['t']}, 
+    raw_token = json.dumps({'r': sec_list, 't': raw_data['t']}, 
                         separators = (",", ":"))
 
-    return base64.b64encode(raw_token.encode('utf-16le')).decode()
-
-class ModelInfo(TypedDict):
-    id: str
-    default_params: dict[str, Any]
-
-model_info: dict[str, ModelInfo] = {
-    # 'claude-instant-v1': {
-    #     'id': 'anthropic:claude-instant-v1',
-    #     'default_params': {
-    #         'temperature': 1,
-    #         'maximumLength': 1024,
-    #         'topP': 1,
-    #         'topK': 1,
-    #         'presencePenalty': 1,
-    #         'frequencyPenalty': 1,
-    #         'stopSequences': ['\n\nHuman:'],
-    #     },
-    # },
-    # 'claude-v1': {
-    #     'id': 'anthropic:claude-v1',
-    #     'default_params': {
-    #         'temperature': 1,
-    #         'maximumLength': 1024,
-    #         'topP': 1,
-    #         'topK': 1,
-    #         'presencePenalty': 1,
-    #         'frequencyPenalty': 1,
-    #         'stopSequences': ['\n\nHuman:'],
-    #     },
-    # },
-    # 'claude-v2': {
-    #     'id': 'anthropic:claude-v2',
-    #     'default_params': {
-    #         'temperature': 1,
-    #         'maximumLength': 1024,
-    #         'topP': 1,
-    #         'topK': 1,
-    #         'presencePenalty': 1,
-    #         'frequencyPenalty': 1,
-    #         'stopSequences': ['\n\nHuman:'],
-    #     },
-    # },
-    'replicate/llama70b-v2-chat': {
-        'id': 'replicate:replicate/llama-2-70b-chat',
-        'default_params': {
-            'temperature': 0.75,
-            'maximumLength': 3000,
-            'topP': 1,
-            'repetitionPenalty': 1,
-        },
-    },
-    'a16z-infra/llama7b-v2-chat': {
-        'id': 'replicate:a16z-infra/llama7b-v2-chat',
-        'default_params': {
-            'temperature': 0.75,
-            'maximumLength': 3000,
-            'topP': 1,
-            'repetitionPenalty': 1,
-        },
-    },
-    'a16z-infra/llama13b-v2-chat': {
-        'id': 'replicate:a16z-infra/llama13b-v2-chat',
-        'default_params': {
-            'temperature': 0.75,
-            'maximumLength': 3000,
-            'topP': 1,
-            'repetitionPenalty': 1,
-        },
-    },
-    'replicate/llama-2-70b-chat': {
-        'id': 'replicate:replicate/llama-2-70b-chat',
-        'default_params': {
-            'temperature': 0.75,
-            'maximumLength': 3000,
-            'topP': 1,
-            'repetitionPenalty': 1,
-        },
-    },
-    'bigscience/bloom': {
-        'id': 'huggingface:bigscience/bloom',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 0.95,
-            'topK': 4,
-            'repetitionPenalty': 1.03,
-        },
-    },
-    'google/flan-t5-xxl': {
-        'id': 'huggingface:google/flan-t5-xxl',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 0.95,
-            'topK': 4,
-            'repetitionPenalty': 1.03,
-        },
-    },
-    'EleutherAI/gpt-neox-20b': {
-        'id': 'huggingface:EleutherAI/gpt-neox-20b',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 0.95,
-            'topK': 4,
-            'repetitionPenalty': 1.03,
-            'stopSequences': [],
-        },
-    },
-    'OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5': {
-        'id': 'huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5',
-        'default_params': {
-            'maximumLength': 1024,
-            'typicalP': 0.2,
-            'repetitionPenalty': 1,
-        },
-    },
-    'OpenAssistant/oasst-sft-1-pythia-12b': {
-        'id': 'huggingface:OpenAssistant/oasst-sft-1-pythia-12b',
-        'default_params': {
-            'maximumLength': 1024,
-            'typicalP': 0.2,
-            'repetitionPenalty': 1,
-        },
-    },
-    'bigcode/santacoder': {
-        'id': 'huggingface:bigcode/santacoder',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 0.95,
-            'topK': 4,
-            'repetitionPenalty': 1.03,
-        },
-    },
-    'command-light-nightly': {
-        'id': 'cohere:command-light-nightly',
-        'default_params': {
-            'temperature': 0.9,
-            'maximumLength': 1024,
-            'topP': 1,
-            'topK': 0,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'command-nightly': {
-        'id': 'cohere:command-nightly',
-        'default_params': {
-            'temperature': 0.9,
-            'maximumLength': 1024,
-            'topP': 1,
-            'topK': 0,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    # 'gpt-4': {
-    #     'id': 'openai:gpt-4',
-    #     'default_params': {
-    #         'temperature': 0.7,
-    #         'maximumLength': 8192,
-    #         'topP': 1,
-    #         'presencePenalty': 0,
-    #         'frequencyPenalty': 0,
-    #         'stopSequences': [],
-    #     },
-    # },
-    # 'gpt-4-0613': {
-    #     'id': 'openai:gpt-4-0613',
-    #     'default_params': {
-    #         'temperature': 0.7,
-    #         'maximumLength': 8192,
-    #         'topP': 1,
-    #         'presencePenalty': 0,
-    #         'frequencyPenalty': 0,
-    #         'stopSequences': [],
-    #     },
-    # },
-    'code-davinci-002': {
-        'id': 'openai:code-davinci-002',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'gpt-3.5-turbo': {
-        'id': 'openai:gpt-3.5-turbo',
-        'default_params': {
-            'temperature': 0.7,
-            'maximumLength': 4096,
-            'topP': 1,
-            'topK': 1,
-            'presencePenalty': 1,
-            'frequencyPenalty': 1,
-            'stopSequences': [],
-        },
-    },
-    'gpt-3.5-turbo-16k': {
-        'id': 'openai:gpt-3.5-turbo-16k',
-        'default_params': {
-            'temperature': 0.7,
-            'maximumLength': 16280,
-            'topP': 1,
-            'topK': 1,
-            'presencePenalty': 1,
-            'frequencyPenalty': 1,
-            'stopSequences': [],
-        },
-    },
-    'gpt-3.5-turbo-16k-0613': {
-        'id': 'openai:gpt-3.5-turbo-16k-0613',
-        'default_params': {
-            'temperature': 0.7,
-            'maximumLength': 16280,
-            'topP': 1,
-            'topK': 1,
-            'presencePenalty': 1,
-            'frequencyPenalty': 1,
-            'stopSequences': [],
-        },
-    },
-    'text-ada-001': {
-        'id': 'openai:text-ada-001',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'text-babbage-001': {
-        'id': 'openai:text-babbage-001',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'text-curie-001': {
-        'id': 'openai:text-curie-001',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'text-davinci-002': {
-        'id': 'openai:text-davinci-002',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'text-davinci-003': {
-        'id': 'openai:text-davinci-003',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 4097,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-}
\ No newline at end of file
+    return base64.b64encode(raw_token.encode('utf-8')).decode()
\ No newline at end of file
diff --git a/g4f/Provider/deprecated/Vercel.py b/g4f/Provider/deprecated/Vercel.py
new file mode 100644
index 00000000..adf7b208
--- /dev/null
+++ b/g4f/Provider/deprecated/Vercel.py
@@ -0,0 +1,392 @@
+from __future__ import annotations
+
+import json, base64, requests, random, uuid
+
+try:
+    import execjs
+    has_requirements = True
+except ImportError:
+    has_requirements = False
+
+from ...typing       import Messages, TypedDict, CreateResult, Any
+from ..base_provider import AbstractProvider
+from ...errors       import MissingRequirementsError
+
+class Vercel(AbstractProvider):
+    url = 'https://sdk.vercel.ai'
+    working = False
+    supports_message_history = True 
+    supports_gpt_35_turbo = True
+    supports_stream = True
+
+    @staticmethod
+    def create_completion(
+        model: str,
+        messages: Messages,
+        stream: bool,
+        proxy: str = None,
+        **kwargs
+    ) -> CreateResult:
+        if not has_requirements:
+            raise MissingRequirementsError('Install "PyExecJS" package')
+
+        if not model:
+            model = "gpt-3.5-turbo"
+        elif model not in model_info:
+            raise ValueError(f"Vercel does not support {model}")
+
+        headers = {
+            'authority': 'sdk.vercel.ai',
+            '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',
+            'cache-control': 'no-cache',
+            'content-type': 'application/json',
+            'custom-encoding': get_anti_bot_token(),
+            'origin': 'https://sdk.vercel.ai',
+            'pragma': 'no-cache',
+            'referer': 'https://sdk.vercel.ai/',
+            'sec-ch-ua': '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
+            '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': f'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.{random.randint(99, 999)}.{random.randint(99, 999)} Safari/537.36',
+        }
+
+        json_data = {
+            'model'       : model_info[model]['id'],
+            'messages'    : messages,
+            'playgroundId': str(uuid.uuid4()),
+            'chatIndex'   : 0,
+            **model_info[model]['default_params'],
+            **kwargs
+        }
+
+        max_retries  = kwargs.get('max_retries', 20)
+        for _ in range(max_retries):
+            response = requests.post('https://chat.vercel.ai/api/chat', 
+                                    headers=headers, json=json_data, stream=True, proxies={"https": proxy})
+            try:
+                response.raise_for_status()
+            except:
+                continue
+            for token in response.iter_content(chunk_size=None):
+                yield token.decode()
+            break
+
+
+def get_anti_bot_token() -> str:
+    headers = {
+        'authority': 'sdk.vercel.ai',
+        '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',
+        'cache-control': 'no-cache',
+        'pragma': 'no-cache',
+        'referer': 'https://sdk.vercel.ai/',
+        'sec-ch-ua': '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
+        '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': f'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.{random.randint(99, 999)}.{random.randint(99, 999)} Safari/537.36',
+    }
+
+    response = requests.get('https://sdk.vercel.ai/openai.jpeg', 
+                            headers=headers).text
+
+    raw_data = json.loads(base64.b64decode(response, 
+                                    validate=True))
+
+    js_script = '''const globalThis={marker:"mark"};String.prototype.fontcolor=function(){return `<font>${this}</font>`};
+        return (%s)(%s)''' % (raw_data['c'], raw_data['a'])
+
+    raw_token = json.dumps({'r': execjs.compile(js_script).call(''), 't': raw_data['t']}, 
+                        separators = (",", ":"))
+
+    return base64.b64encode(raw_token.encode('utf-16le')).decode()
+
+class ModelInfo(TypedDict):
+    id: str
+    default_params: dict[str, Any]
+
+model_info: dict[str, ModelInfo] = {
+    # 'claude-instant-v1': {
+    #     'id': 'anthropic:claude-instant-v1',
+    #     'default_params': {
+    #         'temperature': 1,
+    #         'maximumLength': 1024,
+    #         'topP': 1,
+    #         'topK': 1,
+    #         'presencePenalty': 1,
+    #         'frequencyPenalty': 1,
+    #         'stopSequences': ['\n\nHuman:'],
+    #     },
+    # },
+    # 'claude-v1': {
+    #     'id': 'anthropic:claude-v1',
+    #     'default_params': {
+    #         'temperature': 1,
+    #         'maximumLength': 1024,
+    #         'topP': 1,
+    #         'topK': 1,
+    #         'presencePenalty': 1,
+    #         'frequencyPenalty': 1,
+    #         'stopSequences': ['\n\nHuman:'],
+    #     },
+    # },
+    # 'claude-v2': {
+    #     'id': 'anthropic:claude-v2',
+    #     'default_params': {
+    #         'temperature': 1,
+    #         'maximumLength': 1024,
+    #         'topP': 1,
+    #         'topK': 1,
+    #         'presencePenalty': 1,
+    #         'frequencyPenalty': 1,
+    #         'stopSequences': ['\n\nHuman:'],
+    #     },
+    # },
+    'replicate/llama70b-v2-chat': {
+        'id': 'replicate:replicate/llama-2-70b-chat',
+        'default_params': {
+            'temperature': 0.75,
+            'maximumLength': 3000,
+            'topP': 1,
+            'repetitionPenalty': 1,
+        },
+    },
+    'a16z-infra/llama7b-v2-chat': {
+        'id': 'replicate:a16z-infra/llama7b-v2-chat',
+        'default_params': {
+            'temperature': 0.75,
+            'maximumLength': 3000,
+            'topP': 1,
+            'repetitionPenalty': 1,
+        },
+    },
+    'a16z-infra/llama13b-v2-chat': {
+        'id': 'replicate:a16z-infra/llama13b-v2-chat',
+        'default_params': {
+            'temperature': 0.75,
+            'maximumLength': 3000,
+            'topP': 1,
+            'repetitionPenalty': 1,
+        },
+    },
+    'replicate/llama-2-70b-chat': {
+        'id': 'replicate:replicate/llama-2-70b-chat',
+        'default_params': {
+            'temperature': 0.75,
+            'maximumLength': 3000,
+            'topP': 1,
+            'repetitionPenalty': 1,
+        },
+    },
+    'bigscience/bloom': {
+        'id': 'huggingface:bigscience/bloom',
+        'default_params': {
+            'temperature': 0.5,
+            'maximumLength': 1024,
+            'topP': 0.95,
+            'topK': 4,
+            'repetitionPenalty': 1.03,
+        },
+    },
+    'google/flan-t5-xxl': {
+        'id': 'huggingface:google/flan-t5-xxl',
+        'default_params': {
+            'temperature': 0.5,
+            'maximumLength': 1024,
+            'topP': 0.95,
+            'topK': 4,
+            'repetitionPenalty': 1.03,
+        },
+    },
+    'EleutherAI/gpt-neox-20b': {
+        'id': 'huggingface:EleutherAI/gpt-neox-20b',
+        'default_params': {
+            'temperature': 0.5,
+            'maximumLength': 1024,
+            'topP': 0.95,
+            'topK': 4,
+            'repetitionPenalty': 1.03,
+            'stopSequences': [],
+        },
+    },
+    'OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5': {
+        'id': 'huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5',
+        'default_params': {
+            'maximumLength': 1024,
+            'typicalP': 0.2,
+            'repetitionPenalty': 1,
+        },
+    },
+    'OpenAssistant/oasst-sft-1-pythia-12b': {
+        'id': 'huggingface:OpenAssistant/oasst-sft-1-pythia-12b',
+        'default_params': {
+            'maximumLength': 1024,
+            'typicalP': 0.2,
+            'repetitionPenalty': 1,
+        },
+    },
+    'bigcode/santacoder': {
+        'id': 'huggingface:bigcode/santacoder',
+        'default_params': {
+            'temperature': 0.5,
+            'maximumLength': 1024,
+            'topP': 0.95,
+            'topK': 4,
+            'repetitionPenalty': 1.03,
+        },
+    },
+    'command-light-nightly': {
+        'id': 'cohere:command-light-nightly',
+        'default_params': {
+            'temperature': 0.9,
+            'maximumLength': 1024,
+            'topP': 1,
+            'topK': 0,
+            'presencePenalty': 0,
+            'frequencyPenalty': 0,
+            'stopSequences': [],
+        },
+    },
+    'command-nightly': {
+        'id': 'cohere:command-nightly',
+        'default_params': {
+            'temperature': 0.9,
+            'maximumLength': 1024,
+            'topP': 1,
+            'topK': 0,
+            'presencePenalty': 0,
+            'frequencyPenalty': 0,
+            'stopSequences': [],
+        },
+    },
+    # 'gpt-4': {
+    #     'id': 'openai:gpt-4',
+    #     'default_params': {
+    #         'temperature': 0.7,
+    #         'maximumLength': 8192,
+    #         'topP': 1,
+    #         'presencePenalty': 0,
+    #         'frequencyPenalty': 0,
+    #         'stopSequences': [],
+    #     },
+    # },
+    # 'gpt-4-0613': {
+    #     'id': 'openai:gpt-4-0613',
+    #     'default_params': {
+    #         'temperature': 0.7,
+    #         'maximumLength': 8192,
+    #         'topP': 1,
+    #         'presencePenalty': 0,
+    #         'frequencyPenalty': 0,
+    #         'stopSequences': [],
+    #     },
+    # },
+    'code-davinci-002': {
+        'id': 'openai:code-davinci-002',
+        'default_params': {
+            'temperature': 0.5,
+            'maximumLength': 1024,
+            'topP': 1,
+            'presencePenalty': 0,
+            'frequencyPenalty': 0,
+            'stopSequences': [],
+        },
+    },
+    'gpt-3.5-turbo': {
+        'id': 'openai:gpt-3.5-turbo',
+        'default_params': {
+            'temperature': 0.7,
+            'maximumLength': 4096,
+            'topP': 1,
+            'topK': 1,
+            'presencePenalty': 1,
+            'frequencyPenalty': 1,
+            'stopSequences': [],
+        },
+    },
+    'gpt-3.5-turbo-16k': {
+        'id': 'openai:gpt-3.5-turbo-16k',
+        'default_params': {
+            'temperature': 0.7,
+            'maximumLength': 16280,
+            'topP': 1,
+            'topK': 1,
+            'presencePenalty': 1,
+            'frequencyPenalty': 1,
+            'stopSequences': [],
+        },
+    },
+    'gpt-3.5-turbo-16k-0613': {
+        'id': 'openai:gpt-3.5-turbo-16k-0613',
+        'default_params': {
+            'temperature': 0.7,
+            'maximumLength': 16280,
+            'topP': 1,
+            'topK': 1,
+            'presencePenalty': 1,
+            'frequencyPenalty': 1,
+            'stopSequences': [],
+        },
+    },
+    'text-ada-001': {
+        'id': 'openai:text-ada-001',
+        'default_params': {
+            'temperature': 0.5,
+            'maximumLength': 1024,
+            'topP': 1,
+            'presencePenalty': 0,
+            'frequencyPenalty': 0,
+            'stopSequences': [],
+        },
+    },
+    'text-babbage-001': {
+        'id': 'openai:text-babbage-001',
+        'default_params': {
+            'temperature': 0.5,
+            'maximumLength': 1024,
+            'topP': 1,
+            'presencePenalty': 0,
+            'frequencyPenalty': 0,
+            'stopSequences': [],
+        },
+    },
+    'text-curie-001': {
+        'id': 'openai:text-curie-001',
+        'default_params': {
+            'temperature': 0.5,
+            'maximumLength': 1024,
+            'topP': 1,
+            'presencePenalty': 0,
+            'frequencyPenalty': 0,
+            'stopSequences': [],
+        },
+    },
+    'text-davinci-002': {
+        'id': 'openai:text-davinci-002',
+        'default_params': {
+            'temperature': 0.5,
+            'maximumLength': 1024,
+            'topP': 1,
+            'presencePenalty': 0,
+            'frequencyPenalty': 0,
+            'stopSequences': [],
+        },
+    },
+    'text-davinci-003': {
+        'id': 'openai:text-davinci-003',
+        'default_params': {
+            'temperature': 0.5,
+            'maximumLength': 4097,
+            'topP': 1,
+            'presencePenalty': 0,
+            'frequencyPenalty': 0,
+            'stopSequences': [],
+        },
+    },
+}
\ No newline at end of file