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-rw-r--r--.gitignore1
-rw-r--r--g4f/Provider/Vercel.py339
-rw-r--r--g4f/Provider/deprecated/Vercel.py392
3 files changed, 417 insertions, 315 deletions
diff --git a/.gitignore b/.gitignore
index 72e2a778..5e00e16b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -49,3 +49,4 @@ prv.py
*~
x.js
x.py
+info.txt
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
generated by cgit v1.2.3 (git 2.25.1) at 2024-11-14 05:28:50 +0100