dify-oapi


Namedify-oapi JSON
Version 0.0.14 PyPI version JSON
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home_pagehttps://github.com/QiMington/dify-oapi
SummaryA package for interacting with the Dify Service-API
upload_time2025-07-24 03:52:22
maintainerNone
docs_urlNone
authorQiMington
requires_python>=3.10
licenseMIT
keywords dify nlp ai language-processing
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
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            # dify-oapi

A Dify App Service-API Client, using for build a webapp by request Service-API

## Usage

First, install `dify-oapi` python sdk package:

```
pip install dify-oapi
```

Write your code with sdk:

- chat generate with `blocking` response_mode

```python
from dify_oapi.api.chat.v1.model.chat_request import ChatRequest
from dify_oapi.api.chat.v1.model.chat_request_body import ChatRequestBody
from dify_oapi.api.chat.v1.model.chat_request_file import ChatRequestFile
from dify_oapi.client import Client
from dify_oapi.core.model.request_option import RequestOption

def main():
    client = Client.builder().domain("https://api.dify.ai").build()
    req_file = (
        ChatRequestFile.builder()
        .type("image")
        .transfer_method("remote_url")
        .url("https://cloud.dify.ai/logo/logo-site.png")
        .build()
    )
    req_body = (
        ChatRequestBody.builder()
        .inputs({})
        .query("What are the specs of the iPhone 13 Pro Max?")
        .response_mode("blocking")
        .conversation_id("")
        .user("abc-123")
        .files([req_file])
        .build()
    )
    req = ChatRequest.builder().request_body(req_body).build()
    req_option = RequestOption.builder().api_key("<your-api-key>").build()
    response = client.chat.v1.chat.chat(req, req_option, False)
    # response = await client.chat.v1.chat.achat(req, req_option, False)
    print(response.success)
    print(response.code)
    print(response.msg)
    print(response.answer)


if __name__ == "__main__":
    main()

```

- chat generate with `streaming` response_mode

```python
from dify_oapi.api.chat.v1.model.chat_request import ChatRequest
from dify_oapi.api.chat.v1.model.chat_request_body import ChatRequestBody
from dify_oapi.api.chat.v1.model.chat_request_file import ChatRequestFile
from dify_oapi.client import Client
from dify_oapi.core.model.request_option import RequestOption

def main():
    client = Client.builder().domain("https://api.dify.ai").build()
    req_file = (
        ChatRequestFile.builder()
        .type("image")
        .transfer_method("remote_url")
        .url("https://cloud.dify.ai/logo/logo-site.png")
        .build()
    )
    req_body = (
        ChatRequestBody.builder()
        .inputs({})
        .query("What are the specs of the iPhone 13 Pro Max?")
        .response_mode("streaming")
        .conversation_id("")
        .user("abc-123")
        .files([req_file])
        .build()
    )
    req = ChatRequest.builder().request_body(req_body).build()
    req_option = RequestOption.builder().api_key("<your-api-key>").build()
    response = client.chat.v1.chat.chat(req, req_option, True)
    # response = await client.chat.v1.chat.achat(req, req_option, True)
    for chunk in response:
        print(chunk)


if __name__ == "__main__":
    main()
```

            

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    "description": "# dify-oapi\n\nA Dify App Service-API Client, using for build a webapp by request Service-API\n\n## Usage\n\nFirst, install `dify-oapi` python sdk package:\n\n```\npip install dify-oapi\n```\n\nWrite your code with sdk:\n\n- chat generate with `blocking` response_mode\n\n```python\nfrom dify_oapi.api.chat.v1.model.chat_request import ChatRequest\nfrom dify_oapi.api.chat.v1.model.chat_request_body import ChatRequestBody\nfrom dify_oapi.api.chat.v1.model.chat_request_file import ChatRequestFile\nfrom dify_oapi.client import Client\nfrom dify_oapi.core.model.request_option import RequestOption\n\ndef main():\n    client = Client.builder().domain(\"https://api.dify.ai\").build()\n    req_file = (\n        ChatRequestFile.builder()\n        .type(\"image\")\n        .transfer_method(\"remote_url\")\n        .url(\"https://cloud.dify.ai/logo/logo-site.png\")\n        .build()\n    )\n    req_body = (\n        ChatRequestBody.builder()\n        .inputs({})\n        .query(\"What are the specs of the iPhone 13 Pro Max?\")\n        .response_mode(\"blocking\")\n        .conversation_id(\"\")\n        .user(\"abc-123\")\n        .files([req_file])\n        .build()\n    )\n    req = ChatRequest.builder().request_body(req_body).build()\n    req_option = RequestOption.builder().api_key(\"<your-api-key>\").build()\n    response = client.chat.v1.chat.chat(req, req_option, False)\n    # response = await client.chat.v1.chat.achat(req, req_option, False)\n    print(response.success)\n    print(response.code)\n    print(response.msg)\n    print(response.answer)\n\n\nif __name__ == \"__main__\":\n    main()\n\n```\n\n- chat generate with `streaming` response_mode\n\n```python\nfrom dify_oapi.api.chat.v1.model.chat_request import ChatRequest\nfrom dify_oapi.api.chat.v1.model.chat_request_body import ChatRequestBody\nfrom dify_oapi.api.chat.v1.model.chat_request_file import ChatRequestFile\nfrom dify_oapi.client import Client\nfrom dify_oapi.core.model.request_option import RequestOption\n\ndef main():\n    client = Client.builder().domain(\"https://api.dify.ai\").build()\n    req_file = (\n        ChatRequestFile.builder()\n        .type(\"image\")\n        .transfer_method(\"remote_url\")\n        .url(\"https://cloud.dify.ai/logo/logo-site.png\")\n        .build()\n    )\n    req_body = (\n        ChatRequestBody.builder()\n        .inputs({})\n        .query(\"What are the specs of the iPhone 13 Pro Max?\")\n        .response_mode(\"streaming\")\n        .conversation_id(\"\")\n        .user(\"abc-123\")\n        .files([req_file])\n        .build()\n    )\n    req = ChatRequest.builder().request_body(req_body).build()\n    req_option = RequestOption.builder().api_key(\"<your-api-key>\").build()\n    response = client.chat.v1.chat.chat(req, req_option, True)\n    # response = await client.chat.v1.chat.achat(req, req_option, True)\n    for chunk in response:\n        print(chunk)\n\n\nif __name__ == \"__main__\":\n    main()\n```\n",
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