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dashscope-1.0.4
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dashscope client sdk library
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | dashscope-1.0.4 |
| نام | dashscope |
| نسخه کتابخانه | 1.0.4 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Alibaba |
| ایمیل نویسنده | dashscope@alibaba-inc.com |
| آدرس صفحه اصلی | https://dashscope.aliyun.com/ |
| آدرس اینترنتی | https://pypi.org/project/dashscope/ |
| مجوز | Apache 2.0 |
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<p>
<b>English</b>
<p>
</h4>
</div>
# DashScope Python Library
## Installation
To install the DashScope Python SDK, simply run:
```shell
pip install dashscope
```
If you clone the code from github, you can install from source by running:
```shell
pip install -e .
```
## QuickStart
You can use `Generation` api to call model qwen-v1(通义千问).
```python
from http import HTTPStatus
import dashscope
from dashscope import Generation
dashscope.api_key = 'YOUR-DASHSCOPE-API-KEY'
responses = Generation.call(model=Generation.Models.qwen_v1,
prompt='今天天气好吗？')
if responses.status_code == HTTPStatus.OK:
print('Result is: %s' % responses.output)
else:
print('Failed request_id: %s, status_code: %s, code: %s, message:%s' %
(responses.request_id, responses.status_code, responses.code,
responses.message))
```
## API Key Authentication
The SDK uses API key for authentication. Please refer to [official documentation](https://dashscope.aliyun.com) regarding how to obtain your api-key.
### Using the API Key
1. Set the API key via code
```python
import dashscope
dashscope.api_key = 'YOUR-DASHSCOPE-API-KEY'
# Or specify the API key file path via code
# dashscope.api_key_file_path='~/.dashscope/api_key'
```
2. Set the API key via environment variables
a. Set the API key directly using the environment variable below
```shell
export DASHSCOPE_API_KEY='YOUR-DASHSCOPE-API-KEY'
```
b. Specify the API key file path via an environment variable
```shell
export DASHSCOPE_API_KEY_FILE_PATH='~/.dashscope/api_key'
```
3. Save the API key to a file
```python
from dashscope import save_api_key
save_api_key(api_key='YOUR-DASHSCOPE-API-KEY',
api_key_file_path='api_key_file_location or (None, will save to default location "~/.dashscope/api_key"')
```
## Sample Code
`call` function provides synchronous call, the function call will return when computation is done on the server side.
```python
from http import HTTPStatus
from dashscope import Generation
# export DASHSCOPE_API_KEY='YOUR-DASHSCOPE-API-KEY' in environment
def sync_dashscope_sample():
responses = Generation.call(
model=Generation.Models.qwen_v1,
prompt='Is the weather good today?')
if responses.status_code == HTTPStatus.OK:
print('Result is: %s'%responses.output)
else:
print('Code: %s, status_code: %s, code: %s, message: %s'%(responses.status_code,
responses.code,
responses.message))
if __name__ == '__main__':
sync_dashscope_sample()
```
For requests with longer processing times, you can obtain partial results before the full output is generated. Set the **stream** parameter to **True**. In this case, the results will be returned in batches, and the current output mode is incremental (output will overwrite the previous content). When the output is in stream mode, the interface returns a generator, and you need to iterate through the generator to get the results. Each output contains partial data for streaming, and the last output contains the final generated result.
Example with simple streaming:
```python
from http import HTTPStatus
from dashscope import Generation
def sample_sync_call_stream():
prompt_text = 'Give me a recipe using carrots, potatoes, and eggplants'
response_generator = Generation.call(
model=Generation.Models.qwen_v1,
prompt=prompt_text,
stream=True,
max_length=512,
top_p=0.8)
for resp in response_generator: # Iterate through the streaming output results
if resp.status_code == HTTPStatus.OK:
print(resp.output)
else:
print('Request failed, message: %s'%resp.message)
if __name__ == '__main__':
sample_sync_call_stream()
```
#### Streaming with History
```python
from http import HTTPStatus
from dashscope import Conversation, History, HistoryItem
def conversation_stream_example():
history = History()
item = HistoryItem('user', text='Is the weather good today?')
history.append(item)
item = HistoryItem('bot', text='The weather is nice today, do you want to go out and play?')
history.append(item)
item = HistoryItem('user', text='Do you have any places to recommend?')
history.append(item)
item = HistoryItem('bot', text='I suggest you go to the park. Spring is here, and the flowers are blooming. It is beautiful.')
history.append(item)
chat = Conversation(history)
response = chat.call(Conversation.Models.qwen_v1,
prompt='Recommend a nearby park',
stream=True)
for part in response:
if part.status_code == HTTPStatus.OK:
print(part.output)
else:
print('Failed request_id: %s, status_code: %s code: %s, message:%s' %
(part.id, part.status_code, part.code, part.message))
response = chat.call(
Conversation.Models.qwen_v1,
prompt='I have been to that park many times, how about a more distant one?',
auto_history=True,
stream=True,
)
for part in response:
if part.status_code == HTTPStatus.OK:
print(part.output.text)
print(part.usage)
else:
print('Failed request_id: %s, status_code: %s, code: %s, message:%s' %
(part.id, part.status_code, part.code, part.message))
if __name__ == '__main__':
conversation_stream_example()
```
## Logging
To output Dashscope logs, you need to configure the logger.
```shell
export DASHSCOPE_LOGGING_LEVEL='info'
```
## Output
The output contains the following fields:
```
request_id (str): The request id.
status_code (int): HTTP status code, 200 indicates that the
request was successful, others indicate an error。
code (str): Error code if error occurs, otherwise empty str.
message (str): Set to error message on error.
output (Any): The request output.
usage (Any): The request usage information.
```
## Error Handling
Currently, errors are thrown as exceptions.
## Contributing
Coming soon.
## License
This project is licensed under the Apache License (Version 2.0).
نیازمندی
| مقدار | نام |
|---|---|
| - | aiohttp |
| - | requests |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7.0 | Python |
نحوه نصب
نصب پکیج whl dashscope-1.0.4:
pip install dashscope-1.0.4.whl
نصب پکیج tar.gz dashscope-1.0.4:
pip install dashscope-1.0.4.tar.gz