dosubot[bot]
commented
1 month ago Hey @G81192, I'm here to help you with any bugs, questions, or contributions you have for Dify. Let's work together to improve the platform!
I found a similar open issue that might be relevant to your request: feat: cloudflare kv. This issue is closed and was last updated on August 30, 2024. It was referenced by a pull request feat: cloudflare kv, which was also last updated on August 30, 2024 [1].
Regarding your request, you can indeed integrate a Redis tool into Dify for efficient token caching. The docker-compose.yaml file in the Dify repository already includes a Redis service configuration that can be used for this purpose. Here is the relevant part of the docker-compose.yaml file:
# The redis cache.
redis:
image: redis:6-alpine
restart: always
volumes:
# Mount the redis data directory to the container.
- ./volumes/redis/data:/data
# Set the redis password when startup redis server.
command: redis-server --requirepass difyai123456
healthcheck:
test: [ "CMD", "redis-cli", "ping" ]
# uncomment to expose redis port to host
# ports:
# - "6379:6379"Additionally, the api and worker services are already configured to connect to the Redis instance:
# API service
api:
...
environment:
...
# The configurations of redis connection.
REDIS_HOST: redis
REDIS_PORT: 6379
REDIS_USERNAME: ''
REDIS_PASSWORD: difyai123456
REDIS_USE_SSL: 'false'
# use redis db 0 for redis cache
REDIS_DB: 0
...# worker service
worker:
...
environment:
...
# The configurations of redis cache connection.
REDIS_HOST: redis
REDIS_PORT: 6379
REDIS_USERNAME: ''
REDIS_PASSWORD: difyai123456
REDIS_DB: 0
REDIS_USE_SSL: 'false'
...To implement token caching, you can use the Redis instance to store and retrieve tokens. Here is a simple example in Python using the redis library:
import redis
import time
# Connect to Redis
r = redis.Redis(host='redis', port=6379, password='difyai123456', db=0)
def get_token():
# Check if token is already cached
token = r.get('api_token')
if token:
return token.decode('utf-8')
# If not cached, request a new token from the third-party API
token = request_new_token_from_api()
# Cache the token with an expiration time (e.g., 3600 seconds)
r.set('api_token', token, ex=3600)
return token
def request_new_token_from_api():
# Implement the logic to request a new token from the third-party API
return "new_token"
# Example usage
token = get_token()
print(f"Token: {token}")This code checks if the token is already cached in Redis. If it is, it retrieves the token from the cache. If not, it requests a new token from the third-party API, caches it in Redis with an expiration time, and then returns the token [2].
Additionally, the TokenManager class in the api/libs/helper.py file is responsible for token management and can be extended to include caching mechanisms [3].
Feel free to share your implementation with the Dify community, as it could be a valuable contribution!
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laipz8200
G81192
Self Checks
1. Is this request related to a challenge you're experiencing? Tell me about your story.
Yes, I frequently need to request tokens for third-party API calls. This process can be time-consuming and inefficient. I would like to see a Redis tool integrated into Dify. This tool would allow users to cache tokens, reducing the need for repeated token requests. By caching tokens, I can save time and resources, making my workflow more efficient. This feature would eliminate the need to request a new token for each API call, thereby speeding up the development process.
2. Additional context or comments
I have developed a function in my local code that implements this feature. I am willing to share this function with the Dify community.
3. Can you help us with this feature?