File size: 4,459 Bytes
a8b3f00
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
# dify-client

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

## Usage

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

```
pip install dify-client
```

Write your code with sdk:

- completion generate with `blocking` response_mode

```python
from dify_client import CompletionClient

api_key = "your_api_key"

# Initialize CompletionClient
completion_client = CompletionClient(api_key)

# Create Completion Message using CompletionClient
completion_response = completion_client.create_completion_message(inputs={"query": "What's the weather like today?"},
                                                                  response_mode="blocking", user="user_id")
completion_response.raise_for_status()

result = completion_response.json()

print(result.get('answer'))
```

- completion using vision model, like gpt-4-vision

```python
from dify_client import CompletionClient

api_key = "your_api_key"

# Initialize CompletionClient
completion_client = CompletionClient(api_key)

files = [{
    "type": "image",
    "transfer_method": "remote_url",
    "url": "your_image_url"
}]

# files = [{
#     "type": "image",
#     "transfer_method": "local_file",
#     "upload_file_id": "your_file_id"
# }]

# Create Completion Message using CompletionClient
completion_response = completion_client.create_completion_message(inputs={"query": "Describe the picture."},
                                                                  response_mode="blocking", user="user_id", files=files)
completion_response.raise_for_status()

result = completion_response.json()

print(result.get('answer'))
```

- chat generate with `streaming` response_mode

```python
import json
from dify_client import ChatClient

api_key = "your_api_key"

# Initialize ChatClient
chat_client = ChatClient(api_key)

# Create Chat Message using ChatClient
chat_response = chat_client.create_chat_message(inputs={}, query="Hello", user="user_id", response_mode="streaming")
chat_response.raise_for_status()

for line in chat_response.iter_lines(decode_unicode=True):
    line = line.split('data:', 1)[-1]
    if line.strip():
        line = json.loads(line.strip())
        print(line.get('answer'))
```

- chat using vision model, like gpt-4-vision

```python
from dify_client import ChatClient

api_key = "your_api_key"

# Initialize ChatClient
chat_client = ChatClient(api_key)

files = [{
    "type": "image",
    "transfer_method": "remote_url",
    "url": "your_image_url"
}]

# files = [{
#     "type": "image",
#     "transfer_method": "local_file",
#     "upload_file_id": "your_file_id"
# }]

# Create Chat Message using ChatClient
chat_response = chat_client.create_chat_message(inputs={}, query="Describe the picture.", user="user_id",
                                                response_mode="blocking", files=files)
chat_response.raise_for_status()

result = chat_response.json()

print(result.get("answer"))
```

- upload file when using vision model

```python
from dify_client import DifyClient

api_key = "your_api_key"

# Initialize Client
dify_client = DifyClient(api_key)

file_path = "your_image_file_path"
file_name = "panda.jpeg"
mime_type = "image/jpeg"

with open(file_path, "rb") as file:
    files = {
        "file": (file_name, file, mime_type)
    }
    response = dify_client.file_upload("user_id", files)

    result = response.json()
    print(f'upload_file_id: {result.get("id")}')
```
  


- Others

```python
from dify_client import ChatClient

api_key = "your_api_key"

# Initialize Client
client = ChatClient(api_key)

# Get App parameters
parameters = client.get_application_parameters(user="user_id")
parameters.raise_for_status()

print('[parameters]')
print(parameters.json())

# Get Conversation List (only for chat)
conversations = client.get_conversations(user="user_id")
conversations.raise_for_status()

print('[conversations]')
print(conversations.json())

# Get Message List (only for chat)
messages = client.get_conversation_messages(user="user_id", conversation_id="conversation_id")
messages.raise_for_status()

print('[messages]')
print(messages.json())

# Rename Conversation (only for chat)
rename_conversation_response = client.rename_conversation(conversation_id="conversation_id",
                                                          name="new_name", user="user_id")
rename_conversation_response.raise_for_status()

print('[rename result]')
print(rename_conversation_response.json())
```