Dify

🔥 Happy New Year, Dify builders! Get ready – our January drop is going to be epic. Stay tuned! 🎈 #Dify #plugin_system #RAG #parent_child_retrieval #agent_in_workflow

🌟 Dify v0.14.2 is live, bringing enhanced error handling to Workflow/Chatflow through a new retry feature. Developers can set the number of retries and the interval, allowing nodes to automatically retry on errors. This reduces disruptions caused by network latency and enhances application stability. The feature complements default values and workflow redirection and is available for critical nodes prone to errors: LLM, HTTP, Tool, and Code. ✨ New Models - Azure GPT-4o-2024-11-20 - Gemini-2.0-flash-thinking-exp-1219 Now, with Gemini and Claude, users can specify text and file input order in the prompt editor, allowing for more flexible and accurate multimodal responses. Read the full changelog: https://lnkd.in/geWVWFHR

Learn how Dify is helping developers build the next GenAI applications! Our Head of DevRel, Chenhe Gu, shares her expertise on TiDB, powered by PingCAP's #datainthehallway. Watch now and start building! ⬇️ https://lnkd.in/gNdrRV9q

🥳 Dify v0.14.0 brings improved error handling to make your AI workflows more resilient! This means fewer disruptions, better insights into workflow issues, and more control over error responses 💪. We've implemented two new features: 🔢 Default Values: Predefined output values allow downstream nodes to continue functioning even with missing, incorrect, or malformed input. 🔀 Workflow Redirection: When exceptions occur, the workflow redirects to an alternative branch, using the `error_type` and `error_message` variables to capture error details and enable follow-up actions, such as notifications or backup tool activation. This update improves error handling across LLM, HTTP, Tool, and Code Nodes. For more details, read the blog post: https://lnkd.in/g34E6-Fw We’ve also integrated advanced models like gemini-2.0-flash-exp and updated the app creation interface and template page for you to explore. Read the full changelog: https://lnkd.in/gg7Nphkk

🚀 We’ve just dropped v0.13.2 of Dify. Check out what’s new: ✨ New Models - Gemini-exp-1206 excels in multimodal tasks with a context length of up to 2.1M tokens - GLM-4-Flash from Zhipu AI offers superior inference speed (72.14 tokens/s) and performance, featuring 128K context length and multilingual support - Rerank 3.5 from Cohere enhances reasoning and multilingual capabilities for more accurate complex enterprise data searches 🦾 Enhancements - Ollama now supports structured outputs, making it easier for tools or LLM nodes to use. - Amazon Nova Lite and Pro models now feature vision capabilities, enabling image analysis and question-answering - Direct file downloads now available in Workflow Results 👉 For more details, read the full changelog: https://lnkd.in/gdvASHPk

🚀 Dify v0.13.0 is here! This update introduces key upgrades to the variable assignment node, making it more flexible and efficient: 1️⃣ Extend operation for array variables Append an entire array to a target array at once, simplifying complex data processing. 2️⃣ Set fixed values for number, string, and object types Assign fixed values to these variables without dynamic inputs—ideal for initialization or setting defaults. 3️⃣ Expanded number operations Perform addition, subtraction, multiplication, and division directly, making calculations seamless. 4️⃣ Multi-variable support in a single node Manage multiple variables in one node, streamlining workflows and reducing redundancy. 📖 Docs： https://lnkd.in/g5QBkByE 📋 See all enhancements in the changelog: https://lnkd.in/gWxRp2pQ

🏆 Excited to be recognized as a Partner of the Year 2024 from the AWS Partner Network (APN)! Representing Dify, Chenhe Gu attended the Partner Awards Gala in Las Vegas. This milestone motivates us to keep driving innovation and creating a positive impact with #AWS. Huge thanks to AWS and our incredible community for making this possible! #AWSreInvent

🎉 We’re excited to announce that our friends Warren and Kelvin will be presenting at the Google Developer Group Cloud Hong Kong DevFest 2024 on December 7th! They’ll demonstrate how to leverage Dify on GCP with Gemini, showcasing how to turn business data into actionable insights using cutting-edge tools. If you’ve ever faced challenges with data pipelines, this session is a must-attend. Register now: https://lnkd.in/gkACi-z5 #GoogleCloudHK #GDGCloudHK #GoogleDeveloperGroups #googledevelopers #Gemini #DevFest2024 #DevFest

🔊 This quick demo shows you how to analyze audio files directly using `gpt-4o-audio-preview` in Dify workflow, without any preprocessing. You can simply insert an audio file variable into the prompt to begin working with the audio content immediately.