v0.6.0

[takatost]

Introducing Dify Workflow! 🎉

The much-anticipated workflow feature is here: In a nutshell, workflow provides a visual canvas for defining complex tasks as smaller, manageable steps (nodes). This reduces reliance on prompt engineering and LLM agent capabilities, taking the stability and reproducibility of your LLM applications to the next level by letting you be in control.
There are two Workflow application types with this update:

• Workflow App
  Targeting Automation and Batch Processing: This is ideal for translation, data analysis, content generation, email automation, and more.
  

• Chatflow App (A Sub-Type of Chatbot)
  For Conversational Applications: Suitable for customer service, semantic search, and more conversational apps requiring multi-step logic in crafting the response.
  Compared to the regular Workflow app type, Chatflow adds chat-specific features such as conversation history support (Memory), tagged replies, an Answer node type for streaming responses, and support for rich text and images.

  

For more information, please visit: https://docs.dify.ai/features/workflow/introduce

Other Enhancements:

• Optimized UI flow for app creation.

• Conversion support from various basic application types to Workflow-based applications.

  • Basic / Expert mode Chatbot apps → Chatflow

  • Text Generator → Workflow

    

• Dify's official app templates are now available in self-hosted mode.

• Support for adding descriptions to applications.

• Support for porting applications in and out of Dify with DSL.

• Under the hood, we also refactored the underlying execution logic of all app types for cleaner architecture and a tidier repo.

Update Guide

If you need to upgrade from 0.6.0-preview-workflow.1, you will need to connect to PostgreSQL and execute the following SQL (migration inserted in the main branch) to ensure data integrity.

ALTER TABLE dataset_keyword_tables ADD COLUMN data_source_type VARCHAR(255) NOT NULL DEFAULT 'database';
ALTER TABLE embeddings ADD COLUMN provider_name VARCHAR(40) NOT NULL DEFAULT '';
ALTER TABLE embeddings DROP CONSTRAINT embedding_hash_idx;
ALTER TABLE embeddings ADD CONSTRAINT embedding_hash_idx UNIQUE (model_name, hash, provider_name);

Docker compose deployments:

1. Get the latest code from the main branch:

   git checkout main
   git pull origin main

2. Go to the next step and update to the latest image:

   cd docker
   docker compose up -d

3. We also moved the agent data within the database, Execute the below script to complete the migrate: (NEW)

   docker compose exec api flask convert-to-agent-apps

Source Code deployments:

1. Stop API server, Worker and Web frontend Server.

2. Get the latest code from the main branch:

   git checkout main
   git pull origin main

3. Update Python dependencies:

   cd api
   pip install -r requirements.txt

4. Then, let's run the migration script:

   flask db upgrade

5. We also moved the agent data within the database, Execute the below script to complete the migrate: (NEW)

   flask convert-to-agent-apps

6. Finally, run API server, Worker and Web frontend Server again.

What's Changed

• Update README.md by @guchenhe in Update README.md #3081
• add segment function billing check for SAAS env by @JohnJyong in add segment function billing check for SAAS env #3082
• feat (new llm): add support for openrouter by @Korayem in feat (new llm): add support for openrouter #3042
• fix(duckduckgo-search): invoke error by @QIN2DIM in fix(duckduckgo-search): invoke error #3077
• Chore/move chrome ext by @crazywoola in Chore/move chrome ext #3085
• add embedding cache and clean embedding cache job by @JohnJyong in add embedding cache and clean embedding cache job #3087
• new readme slogan by @guchenhe in new readme slogan #3094
• fix: update show names for supported file types of xlsx and docx by @bowenliang123 in fix: update show names for supported file types of xlsx and docx #3091
• fix typo by @leslie2046 in fix typo #3098
• fix typo in readme by @jat001 in fix typo in readme #3096
• fix unstructured api,remove unused parameters by @vikeychen in fix unstructured api,remove unused parameters #3056
• Improve ModelTypeEnum type by @lng2020 in Improve ModelTypeEnum type #3051
• feat: claude3 tool call by @Yeuoly in feat: claude3 tool call #3111
• chore: replace outdated config in vscode debug settings by @lng2020 in chore: replace outdated config in vscode debug settings #3106
• feat: update link by @crazywoola in feat: update link #3121
• chore: update link of feedback by @JzoNgKVO in chore: update link of feedback #3130
• Duplicate embedding cache check by @JohnJyong in Duplicate embedding cache check #3134
• improve qa generate prompt by @JohnJyong in improve qa generate prompt #3132
• fix: Turn off SWR automatic revalidation when window is focused by @Mxtzz in fix: Turn off SWR automatic revalidation when window is focused #3129
• Feat/update issue template by @crazywoola in Feat/update issue template #3147
• fix: chat app sometimes may crash by @iamjoel in fix: chat app sometimes may crash #3151
• Update descriptions in StackExchange Tool by @richards199999 in Update descriptions in StackExchange Tool #3043
• Fix: stop indexing status check when api of status checking failed by @JzoNgKVO in Fix: stop indexing status check when api of status checking failed #3156
• Optimize csv and excel extract by @JohnJyong in Optimize csv and excel extract #3155
• fix: knowledge create display error by @zxhlyh in fix: knowledge create display error #3157
• FEAT: NEW WORKFLOW ENGINE by @takatost in FEAT: NEW WORKFLOW ENGINE #3160

New Contributors

• @Korayem made their first contribution in feat (new llm): add support for openrouter #3042
• @QIN2DIM made their first contribution in fix(duckduckgo-search): invoke error #3077
• @jat001 made their first contribution in fix typo in readme #3096
• @Mxtzz made their first contribution in fix: Turn off SWR automatic revalidation when window is focused #3129

Full Changelog: 0.5.11-fix1...0.6.0

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This discussion was created from the release v0.6.0.

[bowenliang123]

Congratulations! Dify brings us a new era of LLM agents.

[findigital]

This is awseome!

[JokerQyou]

Can a node (specifically the LLM node) have multiple entry points? I'm thinking of using chatflow to mimic function calling. It works like this:

• User input some question, it may involves querying some realtime data about the user
• an LLM node is provided with some function definitions, and this node decide that it needs to call get_username function, it outputs FUNC:get_username()
• an IF-ELSE node matches the FUNC: prefix, and pass it to a template node to trim the prefix, which outputs get_username()
• an HTTP node is invoked with function name as body, and external API returns the name of current user
• then I would like to pass the username back to previous LLM node, so it receives the return value of previous function call, and can decide to perform actions using the data.

This is basically a home-brewed agent mode chatbot (because currently dify's agent mode cannot be customized - the prompt is not editable, and the agent always replaces dataset context rather than append to it).

[takatost]

You might need a reasoning node, we will provide it in the next iteration.