fix: file upload in step run

refactor(app_generator): Use variables and tenant_id instead of app_config in _prepare_user_inputs
refactor(workflow_entry): Do some format
2025-12-06 11:29:30 +08:00 · 2024-11-22 17:39:41 +08:00 · 2024-11-21 20:15:15 +08:00 · 2024-11-21 20:14:22 +08:00 · 2024-11-21 20:13:41 +08:00 · 2024-11-21 20:12:56 +08:00
388 changed files with 15081 additions and 2128 deletions
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -1,34 +1,32 @@
-# Checklist:
+# Summary
+
+Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.
+
+> [!Tip]
+> Close issue syntax: `Fixes #<issue number>` or `Resolves #<issue number>`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details.
+
+
+# Screenshots
+
+<table>
+  <tr>
+  <td>Before: </td>
+  <td>After: </td>
+  </tr>
+  <tr>
+  <td>...</td>
+  <td>...</td>
+  </tr>
+</table>
+
+# Checklist

 > [!IMPORTANT]  
 > Please review the checklist below before submitting your pull request.

- [ ] Please open an issue before creating a PR or link to an existing issue
- [ ] I have performed a self-review of my own code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
-
-# Description
-
-Describe the big picture of your changes here to communicate to the maintainers why we should accept this pull request. If it fixes a bug or resolves a feature request, be sure to link to that issue. Close issue syntax: `Fixes #<issue number>`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details.
-
-Fixes 
-
-## Type of Change
-
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
 - [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs)
- [ ] Improvement, including but not limited to code refactoring, performance optimization, and UI/UX improvement
- [ ] Dependency upgrade
-
-# Testing Instructions
-
-Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration
-
- [ ] Test A
- [ ] Test B
-
-
+- [x] I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!)
+- [x] I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
+- [x] I've updated the documentation accordingly.
+- [x] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods

--- a/README.md
+++ b/README.md
@@ -19,6 +19,9 @@
    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
            alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="follow on X(Twitter)"></a>
--- a/README_AR.md
+++ b/README_AR.md
@@ -15,6 +15,9 @@
    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
            alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="follow on X(Twitter)"></a>
--- a/README_CN.md
+++ b/README_CN.md
@@ -15,6 +15,9 @@
    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
            alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="follow on X(Twitter)"></a>
--- a/README_ES.md
+++ b/README_ES.md
@@ -15,6 +15,9 @@
    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
            alt="chat en Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="seguir en X(Twitter)"></a>
--- a/README_FR.md
+++ b/README_FR.md
@@ -15,6 +15,9 @@
    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
            alt="chat sur Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="join Reddit"></a>
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="suivre sur X(Twitter)"></a>
--- a/README_JA.md
+++ b/README_JA.md
@@ -15,6 +15,9 @@
    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
            alt="Discordでチャット"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Reddit"></a>
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="X(Twitter)でフォロー"></a>
--- a/README_KL.md
+++ b/README_KL.md
@@ -15,6 +15,9 @@
    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
            alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Follow Reddit"></a>
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="follow on X(Twitter)"></a>
--- a/README_KR.md
+++ b/README_KR.md
@@ -15,6 +15,9 @@
    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
            alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Follow Reddit"></a>
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="follow on X(Twitter)"></a>
--- a/README_PT.md
+++ b/README_PT.md
@@ -19,6 +19,9 @@
    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
            alt="chat on Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Follow Reddit"></a>
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="follow on X(Twitter)"></a>
@@ -238,4 +241,4 @@ Para proteger sua privacidade, evite postar problemas de segurança no GitHub. E

 ## Licença

-Este repositório está disponível sob a [Licença de Código Aberto Dify](LICENSE), que é essencialmente Apache 2.0 com algumas restrições adicionais.
+Este repositório está disponível sob a [Licença de Código Aberto Dify](LICENSE), que é essencialmente Apache 2.0 com algumas restrições adicionais.
--- a/README_SI.md
+++ b/README_SI.md
@@ -0,0 +1,180 @@
+![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
+
+<p align="center">
+  📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Predstavljamo nalaganje datotek Dify Workflow: znova ustvarite Google NotebookLM Podcast</a>
+</p>
+
+<p align="center">
+  <a href="https://cloud.dify.ai">Dify Cloud</a> ·
+  <a href="https://docs.dify.ai/getting-started/install-self-hosted">Samostojno gostovanje</a> ·
+  <a href="https://docs.dify.ai">Dokumentacija</a> ·
+  <a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Povpraševanje za podjetja</a>
+</p>
+
+<p align="center">
+    <a href="https://dify.ai" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
+    <a href="https://dify.ai/pricing" target="_blank">
+        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
+    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
+        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
+            alt="chat on Discord"></a>
+    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
+        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
+            alt="follow on X(Twitter)"></a>
+    <a href="https://hub.docker.com/u/langgenius" target="_blank">
+        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
+    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
+        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
+    <a href="https://github.com/langgenius/dify/" target="_blank">
+        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
+    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
+        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
+  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
+  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
+  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
+  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
+  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
+  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
+  <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
+  <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
+  <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
+  <a href="./README_SI.md"><img alt="README Slovenščina" src="https://img.shields.io/badge/Sloven%C5%A1%C4%8Dina-d9d9d9"></a>
+</p>
+
+
+Dify je odprtokodna platforma za razvoj aplikacij LLM. Njegov intuitivni vmesnik združuje agentski potek dela z umetno inteligenco, cevovod RAG, zmogljivosti agentov, upravljanje modelov, funkcije opazovanja in več, kar vam omogoča hiter prehod od prototipa do proizvodnje. 
+
+## Hitri začetek
+> Preden namestite Dify, se prepričajte, da vaša naprava izpolnjuje naslednje minimalne sistemske zahteve:
+> 
+>- CPU >= 2 Core
+>- RAM >= 4 GiB
+
+</br>
+
+Najlažji način za zagon strežnika Dify je prek docker compose . Preden zaženete Dify z naslednjimi ukazi, se prepričajte, da sta Docker in Docker Compose nameščena na vašem računalniku:
+
+```bash
+cd dify
+cd docker
+cp .env.example .env
+docker compose up -d
+```
+
+Po zagonu lahko dostopate do nadzorne plošče Dify v brskalniku na [http://localhost/install](http://localhost/install) in začnete postopek inicializacije.
+
+#### Iskanje pomoči
+Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) če naletite na težave pri nastavitvi Dify. Če imate še vedno težave, se obrnite na [skupnost ali nas](#community--contact).
+
+> Če želite prispevati k Difyju ali narediti dodaten razvoj, glejte naš vodnik za [uvajanje iz izvorne kode](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
+
+## Ključne značilnosti
+**1. Potek dela**: 
+  Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več.
+
+
+  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
+
+
+
+**2. Celovita podpora za modele**: 
+  Brezhibna integracija s stotinami lastniških/odprtokodnih LLM-jev ducatov ponudnikov sklepanja in samostojnih rešitev, ki pokrivajo GPT, Mistral, Llama3 in vse modele, združljive z API-jem OpenAI. Celoten seznam podprtih ponudnikov modelov najdete [tukaj](https://docs.dify.ai/getting-started/readme/model-providers).
+
+![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
+
+
+**3. Prompt IDE**: 
+  intuitivni vmesnik za ustvarjanje pozivov, primerjavo zmogljivosti modela in dodajanje dodatnih funkcij, kot je pretvorba besedila v govor, aplikaciji, ki temelji na klepetu. 
+
+**4. RAG Pipeline**: 
+  E Obsežne zmogljivosti RAG, ki pokrivajo vse od vnosa dokumenta do priklica, s podporo za ekstrakcijo besedila iz datotek PDF, PPT in drugih običajnih formatov dokumentov.
+
+**5. Agent capabilities**: 
+  definirate lahko agente, ki temeljijo na klicanju funkcij LLM ali ReAct, in dodate vnaprej izdelana orodja ali orodja po meri za agenta. Dify ponuja več kot 50 vgrajenih orodij za agente AI, kot so Google Search, DALL·E, Stable Diffusion in WolframAlpha.
+
+**6. LLMOps**: 
+  Spremljajte in analizirajte dnevnike aplikacij in učinkovitost skozi čas. Pozive, nabore podatkov in modele lahko nenehno izboljšujete na podlagi proizvodnih podatkov in opomb.
+
+**7. Backend-as-a-Service**: 
+  AVse ponudbe Difyja so opremljene z ustreznimi API-ji, tako da lahko Dify brez težav integrirate v svojo poslovno logiko.
+
+
+## Uporaba Dify
+
+- **Cloud </br>**
+Gostimo storitev Dify Cloud za vsakogar, ki jo lahko preizkusite brez nastavitev. Zagotavlja vse zmožnosti različice za samostojno namestitev in vključuje 200 brezplačnih klicev GPT-4 v načrtu peskovnika.
+
+- **Self-hosting Dify Community Edition</br>**
+Hitro zaženite Dify v svojem okolju s tem [začetnim vodnikom](#quick-start) . Za dodatne reference in podrobnejša navodila uporabite našo [dokumentacijo](https://docs.dify.ai) .
+
+
+- **Dify za podjetja/organizacije</br>**
+Ponujamo dodatne funkcije, osredotočene na podjetja. Zabeležite svoja vprašanja prek tega klepetalnega robota ali nam pošljite e-pošto, da se pogovorimo o potrebah podjetja. </br>
+  > Za novoustanovljena podjetja in mala podjetja, ki uporabljajo AWS, si oglejte Dify Premium na AWS Marketplace in ga z enim klikom uvedite v svoj AWS VPC. To je cenovno ugodna ponudba AMI z možnostjo ustvarjanja aplikacij z logotipom in blagovno znamko po meri.
+
+
+## Staying ahead
+
+Star Dify on GitHub and be instantly notified of new releases.
+
+![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
+
+
+## Napredne nastavitve
+
+Če morate prilagoditi konfiguracijo, si oglejte komentarje v naši datoteki .env.example in posodobite ustrezne vrednosti v svoji .env datoteki. Poleg tega boste morda morali prilagoditi docker-compose.yamlsamo datoteko, na primer spremeniti različice slike, preslikave vrat ali namestitve nosilca, glede na vaše specifično okolje in zahteve za uvajanje. Po kakršnih koli spremembah ponovno zaženite docker-compose up -d. Celoten seznam razpoložljivih spremenljivk okolja najdete tukaj .
+
+Če želite konfigurirati visoko razpoložljivo nastavitev, so na voljo Helm Charts in datoteke YAML, ki jih prispeva skupnost, ki omogočajo uvedbo Difyja v Kubernetes.
+
+- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
+- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
+- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
+
+#### Uporaba Terraform za uvajanje
+
+namestite Dify v Cloud Platform z enim klikom z uporabo [terraform](https://www.terraform.io/)
+
+##### Azure Global
+- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
+
+##### Google Cloud
+- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
+
+## Prispevam
+
+Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkrati vas prosimo, da podprete Dify tako, da ga delite na družbenih medijih ter na dogodkih in konferencah. 
+
+
+
+> Iščemo sodelavce za pomoč pri prevajanju Difyja v jezike, ki niso mandarinščina ali angleščina. Če želite pomagati, si oglejte i18n README za več informacij in nam pustite komentar v global-userskanalu našega strežnika skupnosti Discord .
+
+## Skupnost in stik
+
+* [Github Discussion](https://github.com/langgenius/dify/discussions). Najboljše za: izmenjavo povratnih informacij in postavljanje vprašanj.
+* [GitHub Issues](https://github.com/langgenius/dify/issues). Najboljše za: hrošče, na katere naletite pri uporabi Dify.AI, in predloge funkcij. Oglejte si naš [vodnik za prispevke](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
+* [Discord](https://discord.gg/FngNHpbcY7). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
+* [X(Twitter)](https://twitter.com/dify_ai). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
+
+**Contributors**
+
+<a href="https://github.com/langgenius/dify/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
+</a>
+
+## Star history
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
+
+
+## Varnostno razkritje
+
+Zaradi zaščite vaše zasebnosti se izogibajte objavljanju varnostnih vprašanj na GitHub. Namesto tega pošljite vprašanja na security@dify.ai in zagotovili vam bomo podrobnejši odgovor.
+
+## Licenca
+
+To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami.
--- a/README_TR.md
+++ b/README_TR.md
@@ -15,6 +15,9 @@
    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
            alt="Discord'da sohbet et"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Follow Reddit"></a>
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="X(Twitter)'da takip et"></a>
--- a/README_VI.md
+++ b/README_VI.md
@@ -15,6 +15,9 @@
    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
            alt="chat trên Discord"></a>
+    <a href="https://reddit.com/r/difyai" target="_blank">  
+        <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
+            alt="Follow Reddit"></a>
    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
            alt="theo dõi trên X(Twitter)"></a>
@@ -235,4 +238,4 @@ Triển khai Dify lên nền tảng đám mây với một cú nhấp chuột b

 ## Giấy phép

-Kho lưu trữ này có sẵn theo [Giấy phép Mã nguồn Mở Dify](LICENSE), về cơ bản là Apache 2.0 với một vài hạn chế bổ sung.
+Kho lưu trữ này có sẵn theo [Giấy phép Mã nguồn Mở Dify](LICENSE), về cơ bản là Apache 2.0 với một vài hạn chế bổ sung.
--- a/api/.env.example
+++ b/api/.env.example
@@ -42,6 +42,11 @@ REDIS_SENTINEL_USERNAME=
 REDIS_SENTINEL_PASSWORD=
 REDIS_SENTINEL_SOCKET_TIMEOUT=0.1

+# redis Cluster configuration.
+REDIS_USE_CLUSTERS=false
+REDIS_CLUSTERS=
+REDIS_CLUSTERS_PASSWORD=
+
 # PostgreSQL database configuration
 DB_USERNAME=postgres
 DB_PASSWORD=difyai123456
@@ -234,6 +239,10 @@ ANALYTICDB_ACCOUNT=testaccount
 ANALYTICDB_PASSWORD=testpassword
 ANALYTICDB_NAMESPACE=dify
 ANALYTICDB_NAMESPACE_PASSWORD=difypassword
+ANALYTICDB_HOST=gp-test.aliyuncs.com
+ANALYTICDB_PORT=5432
+ANALYTICDB_MIN_CONNECTION=1
+ANALYTICDB_MAX_CONNECTION=5

 # OpenSearch configuration
 OPENSEARCH_HOST=127.0.0.1
--- a/api/Dockerfile
+++ b/api/Dockerfile
@@ -55,7 +55,7 @@ RUN apt-get update \
    && echo "deb http://deb.debian.org/debian testing main" > /etc/apt/sources.list \
    && apt-get update \
    # For Security
-    && apt-get install -y --no-install-recommends expat=2.6.3-2 libldap-2.5-0=2.5.18+dfsg-3+b1 perl=5.40.0-7 libsqlite3-0=3.46.1-1 zlib1g=1:1.3.dfsg+really1.3.1-1+b1 \
+    && apt-get install -y --no-install-recommends expat=2.6.4-1 libldap-2.5-0=2.5.18+dfsg-3+b1 perl=5.40.0-7 libsqlite3-0=3.46.1-1 zlib1g=1:1.3.dfsg+really1.3.1-1+b1 \
    # install a chinese font to support the use of tools like matplotlib
    && apt-get install -y fonts-noto-cjk \
    && apt-get autoremove -y \
--- a/api/README.md
+++ b/api/README.md
@@ -18,12 +18,17 @@
   ```

 2. Copy `.env.example` to `.env`
+
+   ```cli
+   cp .env.example .env 
+   ```
 3. Generate a `SECRET_KEY` in the `.env` file.

+   bash for Linux
   ```bash for Linux
   sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env
   ```
-
+   bash for Mac
   ```bash for Mac
   secret_key=$(openssl rand -base64 42)
   sed -i '' "/^SECRET_KEY=/c\\
@@ -41,14 +46,6 @@
   poetry install
   ```

-   In case of contributors missing to update dependencies for `pyproject.toml`, you can perform the following shell instead.
-
-   ```bash
-   poetry shell                                               # activate current environment
-   poetry add $(cat requirements.txt)           # install dependencies of production and update pyproject.toml
-   poetry add $(cat requirements-dev.txt) --group dev    # install dependencies of development and update pyproject.toml
-   ```
-
 6. Run migrate

   Before the first launch, migrate the database to the latest version.
--- a/api/commands.py
+++ b/api/commands.py
@@ -589,7 +589,7 @@ def upgrade_db():
            click.echo(click.style("Database migration successful!", fg="green"))

        except Exception as e:
-            logging.exception(f"Database migration failed: {e}")
+            logging.exception("Failed to execute database migration")
        finally:
            lock.release()
    else:
@@ -633,7 +633,7 @@ where sites.id is null limit 1000"""
                except Exception as e:
                    failed_app_ids.append(app_id)
                    click.echo(click.style("Failed to fix missing site for app {}".format(app_id), fg="red"))
-                    logging.exception(f"Fix app related site missing issue failed, error: {e}")
+                    logging.exception(f"Failed to fix app related site missing issue, app_id: {app_id}")
                    continue

            if not processed_count:
--- a/api/configs/feature/init.py
+++ b/api/configs/feature/init.py
@@ -616,6 +616,11 @@ class DataSetConfig(BaseSettings):
        default=False,
    )

+    PLAN_SANDBOX_CLEAN_MESSAGE_DAY_SETTING: PositiveInt = Field(
+        description="Interval in days for message cleanup operations - plan: sandbox",
+        default=30,
+    )
+

 class WorkspaceConfig(BaseSettings):
    """
--- a/api/configs/middleware/cache/redis_config.py
+++ b/api/configs/middleware/cache/redis_config.py
@@ -68,3 +68,18 @@ class RedisConfig(BaseSettings):
        description="Socket timeout in seconds for Redis Sentinel connections",
        default=0.1,
    )
+
+    REDIS_USE_CLUSTERS: bool = Field(
+        description="Enable Redis Clusters mode for high availability",
+        default=False,
+    )
+
+    REDIS_CLUSTERS: Optional[str] = Field(
+        description="Comma-separated list of Redis Clusters nodes (host:port)",
+        default=None,
+    )
+
+    REDIS_CLUSTERS_PASSWORD: Optional[str] = Field(
+        description="Password for Redis Clusters authentication (if required)",
+        default=None,
+    )
--- a/api/configs/middleware/vdb/analyticdb_config.py
+++ b/api/configs/middleware/vdb/analyticdb_config.py
@@ -1,6 +1,6 @@
 from typing import Optional

-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, PositiveInt


 class AnalyticdbConfig(BaseModel):
@@ -40,3 +40,11 @@ class AnalyticdbConfig(BaseModel):
        description="The password for accessing the specified namespace within the AnalyticDB instance"
        " (if namespace feature is enabled).",
    )
+    ANALYTICDB_HOST: Optional[str] = Field(
+        default=None, description="The host of the AnalyticDB instance you want to connect to."
+    )
+    ANALYTICDB_PORT: PositiveInt = Field(
+        default=5432, description="The port of the AnalyticDB instance you want to connect to."
+    )
+    ANALYTICDB_MIN_CONNECTION: PositiveInt = Field(default=1, description="Min connection of the AnalyticDB database.")
+    ANALYTICDB_MAX_CONNECTION: PositiveInt = Field(default=5, description="Max connection of the AnalyticDB database.")
--- a/api/configs/packaging/init.py
+++ b/api/configs/packaging/init.py
@@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):

    CURRENT_VERSION: str = Field(
        description="Dify version",
-        default="0.11.1",
+        default="0.11.2",
    )

    COMMIT_SHA: str = Field(
--- a/api/constants/languages.py
+++ b/api/constants/languages.py
@@ -17,6 +17,7 @@ language_timezone_mapping = {
    "hi-IN": "Asia/Kolkata",
    "tr-TR": "Europe/Istanbul",
    "fa-IR": "Asia/Tehran",
+    "sl-SI": "Europe/Ljubljana",
 }

 languages = list(language_timezone_mapping.keys())
--- a/api/controllers/console/app/app.py
+++ b/api/controllers/console/app/app.py
@@ -9,6 +9,7 @@ from controllers.console.app.wraps import get_app_model
 from controllers.console.wraps import (
    account_initialization_required,
    cloud_edition_billing_resource_check,
+    enterprise_license_required,
    setup_required,
 )
 from core.ops.ops_trace_manager import OpsTraceManager
@@ -28,6 +29,7 @@ class AppListApi(Resource):
    @setup_required
    @login_required
    @account_initialization_required
+    @enterprise_license_required
    def get(self):
        """Get app list"""

@@ -149,6 +151,7 @@ class AppApi(Resource):
    @setup_required
    @login_required
    @account_initialization_required
+    @enterprise_license_required
    @get_app_model
    @marshal_with(app_detail_fields_with_site)
    def get(self, app_model):
--- a/api/controllers/console/app/audio.py
+++ b/api/controllers/console/app/audio.py
@@ -70,7 +70,7 @@ class ChatMessageAudioApi(Resource):
        except ValueError as e:
            raise e
        except Exception as e:
-            logging.exception(f"internal server error, {str(e)}.")
+            logging.exception("Failed to handle post request to ChatMessageAudioApi")
            raise InternalServerError()


@@ -128,7 +128,7 @@ class ChatMessageTextApi(Resource):
        except ValueError as e:
            raise e
        except Exception as e:
-            logging.exception(f"internal server error, {str(e)}.")
+            logging.exception("Failed to handle post request to ChatMessageTextApi")
            raise InternalServerError()


@@ -170,7 +170,7 @@ class TextModesApi(Resource):
        except ValueError as e:
            raise e
        except Exception as e:
-            logging.exception(f"internal server error, {str(e)}.")
+            logging.exception("Failed to handle get request to TextModesApi")
            raise InternalServerError()


--- a/api/controllers/console/auth/forgot_password.py
+++ b/api/controllers/console/auth/forgot_password.py
@@ -12,7 +12,7 @@ from controllers.console.auth.error import (
    InvalidTokenError,
    PasswordMismatchError,
 )
-from controllers.console.error import EmailSendIpLimitError, NotAllowedRegister
+from controllers.console.error import AccountNotFound, EmailSendIpLimitError
 from controllers.console.wraps import setup_required
 from events.tenant_event import tenant_was_created
 from extensions.ext_database import db
@@ -48,7 +48,7 @@ class ForgotPasswordSendEmailApi(Resource):
                token = AccountService.send_reset_password_email(email=args["email"], language=language)
                return {"result": "fail", "data": token, "code": "account_not_found"}
            else:
-                raise NotAllowedRegister()
+                raise AccountNotFound()
        else:
            token = AccountService.send_reset_password_email(account=account, email=args["email"], language=language)

--- a/api/controllers/console/auth/login.py
+++ b/api/controllers/console/auth/login.py
@@ -16,9 +16,9 @@ from controllers.console.auth.error import (
 )
 from controllers.console.error import (
    AccountBannedError,
+    AccountNotFound,
    EmailSendIpLimitError,
    NotAllowedCreateWorkspace,
-    NotAllowedRegister,
 )
 from controllers.console.wraps import setup_required
 from events.tenant_event import tenant_was_created
@@ -76,7 +76,7 @@ class LoginApi(Resource):
                token = AccountService.send_reset_password_email(email=args["email"], language=language)
                return {"result": "fail", "data": token, "code": "account_not_found"}
            else:
-                raise NotAllowedRegister()
+                raise AccountNotFound()
        # SELF_HOSTED only have one workspace
        tenants = TenantService.get_join_tenants(account)
        if len(tenants) == 0:
@@ -119,7 +119,7 @@ class ResetPasswordSendEmailApi(Resource):
            if FeatureService.get_system_features().is_allow_register:
                token = AccountService.send_reset_password_email(email=args["email"], language=language)
            else:
-                raise NotAllowedRegister()
+                raise AccountNotFound()
        else:
            token = AccountService.send_reset_password_email(account=account, language=language)

@@ -148,7 +148,7 @@ class EmailCodeLoginSendEmailApi(Resource):
            if FeatureService.get_system_features().is_allow_register:
                token = AccountService.send_email_code_login_email(email=args["email"], language=language)
            else:
-                raise NotAllowedRegister()
+                raise AccountNotFound()
        else:
            token = AccountService.send_email_code_login_email(account=account, language=language)

--- a/api/controllers/console/datasets/datasets.py
+++ b/api/controllers/console/datasets/datasets.py
@@ -10,7 +10,7 @@ from controllers.console import api
 from controllers.console.apikey import api_key_fields, api_key_list
 from controllers.console.app.error import ProviderNotInitializeError
 from controllers.console.datasets.error import DatasetInUseError, DatasetNameDuplicateError, IndexingEstimateError
-from controllers.console.wraps import account_initialization_required, setup_required
+from controllers.console.wraps import account_initialization_required, enterprise_license_required, setup_required
 from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
 from core.indexing_runner import IndexingRunner
 from core.model_runtime.entities.model_entities import ModelType
@@ -44,6 +44,7 @@ class DatasetListApi(Resource):
    @setup_required
    @login_required
    @account_initialization_required
+    @enterprise_license_required
    def get(self):
        page = request.args.get("page", default=1, type=int)
        limit = request.args.get("limit", default=20, type=int)
--- a/api/controllers/console/datasets/datasets_document.py
+++ b/api/controllers/console/datasets/datasets_document.py
@@ -948,7 +948,7 @@ class DocumentRetryApi(DocumentResource):
                    raise DocumentAlreadyFinishedError()
                retry_documents.append(document)
            except Exception as e:
-                logging.exception(f"Document {document_id} retry failed: {str(e)}")
+                logging.exception(f"Failed to retry document, document id: {document_id}")
                continue
        # retry document
        DocumentService.retry_document(dataset_id, retry_documents)
--- a/api/controllers/console/error.py
+++ b/api/controllers/console/error.py
@@ -52,8 +52,8 @@ class AccountBannedError(BaseHTTPException):
    code = 400


-class NotAllowedRegister(BaseHTTPException):
-    error_code = "unauthorized"
+class AccountNotFound(BaseHTTPException):
+    error_code = "account_not_found"
    description = "Account not found."
    code = 400

@@ -86,3 +86,9 @@ class NoFileUploadedError(BaseHTTPException):
    error_code = "no_file_uploaded"
    description = "Please upload your file."
    code = 400
+
+
+class UnauthorizedAndForceLogout(BaseHTTPException):
+    error_code = "unauthorized_and_force_logout"
+    description = "Unauthorized and force logout."
+    code = 401
--- a/api/controllers/console/remote_files.py
+++ b/api/controllers/console/remote_files.py
@@ -45,7 +45,7 @@ class RemoteFileUploadApi(Resource):

        resp = ssrf_proxy.head(url=url)
        if resp.status_code != httpx.codes.OK:
-            resp = ssrf_proxy.get(url=url, timeout=3)
+            resp = ssrf_proxy.get(url=url, timeout=3, follow_redirects=True)
        resp.raise_for_status()

        file_info = helpers.guess_file_info_from_response(resp)
--- a/api/controllers/console/workspace/account.py
+++ b/api/controllers/console/workspace/account.py
@@ -14,7 +14,7 @@ from controllers.console.workspace.error import (
    InvalidInvitationCodeError,
    RepeatPasswordNotMatchError,
 )
-from controllers.console.wraps import account_initialization_required, setup_required
+from controllers.console.wraps import account_initialization_required, enterprise_license_required, setup_required
 from extensions.ext_database import db
 from fields.member_fields import account_fields
 from libs.helper import TimestampField, timezone
@@ -79,6 +79,7 @@ class AccountProfileApi(Resource):
    @login_required
    @account_initialization_required
    @marshal_with(account_fields)
+    @enterprise_license_required
    def get(self):
        return current_user

--- a/api/controllers/console/workspace/members.py
+++ b/api/controllers/console/workspace/members.py
@@ -1,3 +1,5 @@
+from urllib import parse
+
 from flask_login import current_user
 from flask_restful import Resource, abort, marshal_with, reqparse

@@ -57,11 +59,12 @@ class MemberInviteEmailApi(Resource):
                token = RegisterService.invite_new_member(
                    inviter.current_tenant, invitee_email, interface_language, role=invitee_role, inviter=inviter
                )
+                encoded_invitee_email = parse.quote(invitee_email)
                invitation_results.append(
                    {
                        "status": "success",
                        "email": invitee_email,
-                        "url": f"{console_web_url}/activate?email={invitee_email}&token={token}",
+                        "url": f"{console_web_url}/activate?email={encoded_invitee_email}&token={token}",
                    }
                )
            except AccountAlreadyInTenantError:
--- a/api/controllers/console/workspace/models.py
+++ b/api/controllers/console/workspace/models.py
@@ -72,7 +72,10 @@ class DefaultModelApi(Resource):
                    model=model_setting["model"],
                )
            except Exception as ex:
-                logging.exception(f"{model_setting['model_type']} save error: {ex}")
+                logging.exception(
+                    f"Failed to update default model, model type: {model_setting['model_type']},"
+                    f" model:{model_setting.get('model')}"
+                )
                raise ex

        return {"result": "success"}
@@ -156,7 +159,10 @@ class ModelProviderModelApi(Resource):
                        credentials=args["credentials"],
                    )
                except CredentialsValidateFailedError as ex:
-                    logging.exception(f"save model credentials error: {ex}")
+                    logging.exception(
+                        f"Failed to save model credentials, tenant_id: {tenant_id},"
+                        f" model: {args.get('model')}, model_type: {args.get('model_type')}"
+                    )
                    raise ValueError(str(ex))

        return {"result": "success"}, 200
--- a/api/controllers/console/workspace/tool_providers.py
+++ b/api/controllers/console/workspace/tool_providers.py
@@ -7,7 +7,7 @@ from werkzeug.exceptions import Forbidden

 from configs import dify_config
 from controllers.console import api
-from controllers.console.wraps import account_initialization_required, setup_required
+from controllers.console.wraps import account_initialization_required, enterprise_license_required, setup_required
 from core.model_runtime.utils.encoders import jsonable_encoder
 from libs.helper import alphanumeric, uuid_value
 from libs.login import login_required
@@ -549,6 +549,7 @@ class ToolLabelsApi(Resource):
    @setup_required
    @login_required
    @account_initialization_required
+    @enterprise_license_required
    def get(self):
        return jsonable_encoder(ToolLabelsService.list_tool_labels())

--- a/api/controllers/console/wraps.py
+++ b/api/controllers/console/wraps.py
@@ -8,10 +8,10 @@ from flask_login import current_user
 from configs import dify_config
 from controllers.console.workspace.error import AccountNotInitializedError
 from models.model import DifySetup
-from services.feature_service import FeatureService
+from services.feature_service import FeatureService, LicenseStatus
 from services.operation_service import OperationService

-from .error import NotInitValidateError, NotSetupError
+from .error import NotInitValidateError, NotSetupError, UnauthorizedAndForceLogout


 def account_initialization_required(view):
@@ -142,3 +142,15 @@ def setup_required(view):
        return view(*args, **kwargs)

    return decorated
+
+
+def enterprise_license_required(view):
+    @wraps(view)
+    def decorated(*args, **kwargs):
+        settings = FeatureService.get_system_features()
+        if settings.license.status in [LicenseStatus.INACTIVE, LicenseStatus.EXPIRED, LicenseStatus.LOST]:
+            raise UnauthorizedAndForceLogout("Your license is invalid. Please contact your administrator.")
+
+        return view(*args, **kwargs)
+
+    return decorated
--- a/api/controllers/web/audio.py
+++ b/api/controllers/web/audio.py
@@ -59,7 +59,7 @@ class AudioApi(WebApiResource):
        except ValueError as e:
            raise e
        except Exception as e:
-            logging.exception(f"internal server error: {str(e)}")
+            logging.exception("Failed to handle post request to AudioApi")
            raise InternalServerError()


@@ -117,7 +117,7 @@ class TextApi(WebApiResource):
        except ValueError as e:
            raise e
        except Exception as e:
-            logging.exception(f"internal server error: {str(e)}")
+            logging.exception("Failed to handle post request to TextApi")
            raise InternalServerError()


--- a/api/core/agent/base_agent_runner.py
+++ b/api/core/agent/base_agent_runner.py
@@ -114,16 +114,9 @@ class BaseAgentRunner(AppRunner):
        # check if model supports stream tool call
        llm_model = cast(LargeLanguageModel, model_instance.model_type_instance)
        model_schema = llm_model.get_model_schema(model_instance.model, model_instance.credentials)
-        if model_schema and ModelFeature.STREAM_TOOL_CALL in (model_schema.features or []):
-            self.stream_tool_call = True
-        else:
-            self.stream_tool_call = False
-
-        # check if model supports vision
-        if model_schema and ModelFeature.VISION in (model_schema.features or []):
-            self.files = application_generate_entity.files
-        else:
-            self.files = []
+        features = model_schema.features if model_schema and model_schema.features else []
+        self.stream_tool_call = ModelFeature.STREAM_TOOL_CALL in features
+        self.files = application_generate_entity.files if ModelFeature.VISION in features else []
        self.query = None
        self._current_thoughts: list[PromptMessage] = []

@@ -250,7 +243,7 @@ class BaseAgentRunner(AppRunner):
        update prompt message tool
        """
        # try to get tool runtime parameters
-        tool_runtime_parameters = tool.get_runtime_parameters() or []
+        tool_runtime_parameters = tool.get_runtime_parameters()

        for parameter in tool_runtime_parameters:
            if parameter.form != ToolParameter.ToolParameterForm.LLM:
--- a/api/core/app/app_config/features/file_upload/manager.py
+++ b/api/core/app/app_config/features/file_upload/manager.py
@@ -16,9 +16,7 @@ class FileUploadConfigManager:
        file_upload_dict = config.get("file_upload")
        if file_upload_dict:
            if file_upload_dict.get("enabled"):
-                transform_methods = file_upload_dict.get("allowed_file_upload_methods") or file_upload_dict.get(
-                    "allowed_upload_methods", []
-                )
+                transform_methods = file_upload_dict.get("allowed_file_upload_methods", [])
                data = {
                    "image_config": {
                        "number_limits": file_upload_dict["number_limits"],
--- a/api/core/app/apps/advanced_chat/app_generator.py
+++ b/api/core/app/apps/advanced_chat/app_generator.py
@@ -127,7 +127,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
            conversation_id=conversation.id if conversation else None,
            inputs=conversation.inputs
            if conversation
-            else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
+            else self._prepare_user_inputs(user_inputs=inputs, variables=app_config.variables, tenant_id=app_model.id),
            query=query,
            files=file_objs,
            parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL,
@@ -362,5 +362,5 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
            if e.args[0] == "I/O operation on closed file.":  # ignore this error
                raise GenerateTaskStoppedError()
            else:
-                logger.exception(e)
+                logger.exception(f"Failed to process generate task pipeline, conversation_id: {conversation.id}")
                raise e
--- a/api/core/app/apps/advanced_chat/generate_task_pipeline.py
+++ b/api/core/app/apps/advanced_chat/generate_task_pipeline.py
@@ -242,7 +242,7 @@ class AdvancedChatAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCyc
                    start_listener_time = time.time()
                    yield MessageAudioStreamResponse(audio=audio_trunk.audio, task_id=task_id)
            except Exception as e:
-                logger.exception(e)
+                logger.exception(f"Failed to listen audio message, task_id: {task_id}")
                break
        if tts_publisher:
            yield MessageAudioEndStreamResponse(audio="", task_id=task_id)
--- a/api/core/app/apps/agent_chat/app_generator.py
+++ b/api/core/app/apps/agent_chat/app_generator.py
@@ -134,7 +134,7 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
            conversation_id=conversation.id if conversation else None,
            inputs=conversation.inputs
            if conversation
-            else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
+            else self._prepare_user_inputs(user_inputs=inputs, variables=app_config.variables, tenant_id=app_model.id),
            query=query,
            files=file_objs,
            parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL,
--- a/api/core/app/apps/base_app_generator.py
+++ b/api/core/app/apps/base_app_generator.py
@@ -1,4 +1,4 @@
-from collections.abc import Mapping
+from collections.abc import Mapping, Sequence
 from typing import TYPE_CHECKING, Any, Optional

 from core.app.app_config.entities import VariableEntityType
@@ -6,7 +6,7 @@ from core.file import File, FileUploadConfig
 from factories import file_factory

 if TYPE_CHECKING:
-    from core.app.app_config.entities import AppConfig, VariableEntity
+    from core.app.app_config.entities import VariableEntity


 class BaseAppGenerator:
@@ -14,27 +14,27 @@ class BaseAppGenerator:
        self,
        *,
        user_inputs: Optional[Mapping[str, Any]],
-        app_config: "AppConfig",
+        variables: Sequence["VariableEntity"],
+        tenant_id: str,
    ) -> Mapping[str, Any]:
        user_inputs = user_inputs or {}
        # Filter input variables from form configuration, handle required fields, default values, and option values
-        variables = app_config.variables
        user_inputs = {
            var.variable: self._validate_inputs(value=user_inputs.get(var.variable), variable_entity=var)
            for var in variables
        }
        user_inputs = {k: self._sanitize_value(v) for k, v in user_inputs.items()}
        # Convert files in inputs to File
-        entity_dictionary = {item.variable: item for item in app_config.variables}
+        entity_dictionary = {item.variable: item for item in variables}
        # Convert single file to File
        files_inputs = {
            k: file_factory.build_from_mapping(
                mapping=v,
-                tenant_id=app_config.tenant_id,
+                tenant_id=tenant_id,
                config=FileUploadConfig(
                    allowed_file_types=entity_dictionary[k].allowed_file_types,
-                    allowed_extensions=entity_dictionary[k].allowed_file_extensions,
-                    allowed_upload_methods=entity_dictionary[k].allowed_file_upload_methods,
+                    allowed_file_extensions=entity_dictionary[k].allowed_file_extensions,
+                    allowed_file_upload_methods=entity_dictionary[k].allowed_file_upload_methods,
                ),
            )
            for k, v in user_inputs.items()
@@ -44,11 +44,11 @@ class BaseAppGenerator:
        file_list_inputs = {
            k: file_factory.build_from_mappings(
                mappings=v,
-                tenant_id=app_config.tenant_id,
+                tenant_id=tenant_id,
                config=FileUploadConfig(
                    allowed_file_types=entity_dictionary[k].allowed_file_types,
-                    allowed_extensions=entity_dictionary[k].allowed_file_extensions,
-                    allowed_upload_methods=entity_dictionary[k].allowed_file_upload_methods,
+                    allowed_file_extensions=entity_dictionary[k].allowed_file_extensions,
+                    allowed_file_upload_methods=entity_dictionary[k].allowed_file_upload_methods,
                ),
            )
            for k, v in user_inputs.items()
@@ -91,6 +91,9 @@ class BaseAppGenerator:
            )

        if variable_entity.type == VariableEntityType.NUMBER and isinstance(value, str):
+            # handle empty string case
+            if not value.strip():
+                return None
            # may raise ValueError if user_input_value is not a valid number
            try:
                if "." in value:
--- a/api/core/app/apps/chat/app_generator.py
+++ b/api/core/app/apps/chat/app_generator.py
@@ -132,7 +132,7 @@ class ChatAppGenerator(MessageBasedAppGenerator):
            conversation_id=conversation.id if conversation else None,
            inputs=conversation.inputs
            if conversation
-            else self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
+            else self._prepare_user_inputs(user_inputs=inputs, variables=app_config.variables, tenant_id=app_model.id),
            query=query,
            files=file_objs,
            parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL,
--- a/api/core/app/apps/completion/app_generator.py
+++ b/api/core/app/apps/completion/app_generator.py
@@ -113,7 +113,9 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
            app_config=app_config,
            model_conf=ModelConfigConverter.convert(app_config),
            file_upload_config=file_extra_config,
-            inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
+            inputs=self._prepare_user_inputs(
+                user_inputs=inputs, variables=app_config.variables, tenant_id=app_model.id
+            ),
            query=query,
            files=file_objs,
            user_id=user.id,
--- a/api/core/app/apps/message_based_app_generator.py
+++ b/api/core/app/apps/message_based_app_generator.py
@@ -80,7 +80,7 @@ class MessageBasedAppGenerator(BaseAppGenerator):
            if e.args[0] == "I/O operation on closed file.":  # ignore this error
                raise GenerateTaskStoppedError()
            else:
-                logger.exception(e)
+                logger.exception(f"Failed to handle response, conversation_id: {conversation.id}")
                raise e

    def _get_conversation_by_user(
--- a/api/core/app/apps/workflow/app_generator.py
+++ b/api/core/app/apps/workflow/app_generator.py
@@ -96,7 +96,9 @@ class WorkflowAppGenerator(BaseAppGenerator):
            task_id=str(uuid.uuid4()),
            app_config=app_config,
            file_upload_config=file_extra_config,
-            inputs=self._prepare_user_inputs(user_inputs=inputs, app_config=app_config),
+            inputs=self._prepare_user_inputs(
+                user_inputs=inputs, variables=app_config.variables, tenant_id=app_model.tenant_id
+            ),
            files=system_files,
            user_id=user.id,
            stream=stream,
@@ -298,5 +300,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
            if e.args[0] == "I/O operation on closed file.":  # ignore this error
                raise GenerateTaskStoppedError()
            else:
-                logger.exception(e)
+                logger.exception(
+                    f"Fails to process generate task pipeline, task_id: {application_generate_entity.task_id}"
+                )
                raise e
--- a/api/core/app/apps/workflow/generate_task_pipeline.py
+++ b/api/core/app/apps/workflow/generate_task_pipeline.py
@@ -216,7 +216,7 @@ class WorkflowAppGenerateTaskPipeline(BasedGenerateTaskPipeline, WorkflowCycleMa
                else:
                    yield MessageAudioStreamResponse(audio=audio_trunk.audio, task_id=task_id)
            except Exception as e:
-                logger.exception(e)
+                logger.exception(f"Fails to get audio trunk, task_id: {task_id}")
                break
        if tts_publisher:
            yield MessageAudioEndStreamResponse(audio="", task_id=task_id)
--- a/api/core/app/apps/workflow_app_runner.py
+++ b/api/core/app/apps/workflow_app_runner.py
@@ -43,7 +43,6 @@ from core.workflow.graph_engine.entities.event import (
 )
 from core.workflow.graph_engine.entities.graph import Graph
 from core.workflow.nodes import NodeType
-from core.workflow.nodes.iteration import IterationNodeData
 from core.workflow.nodes.node_mapping import node_type_classes_mapping
 from core.workflow.workflow_entry import WorkflowEntry
 from extensions.ext_database import db
@@ -160,8 +159,6 @@ class WorkflowBasedAppRunner(AppRunner):
            user_inputs=user_inputs,
            variable_pool=variable_pool,
            tenant_id=workflow.tenant_id,
-            node_type=node_type,
-            node_data=IterationNodeData(**iteration_node_config.get("data", {})),
        )

        return graph, variable_pool
--- a/api/core/app/task_pipeline/message_cycle_manage.py
+++ b/api/core/app/task_pipeline/message_cycle_manage.py
@@ -86,7 +86,7 @@ class MessageCycleManage:
                    conversation.name = name
                except Exception as e:
                    if dify_config.DEBUG:
-                        logging.exception(f"generate conversation name failed: {e}")
+                        logging.exception(f"generate conversation name failed, conversation_id: {conversation_id}")
                    pass

                db.session.merge(conversation)
--- a/api/core/app/task_pipeline/workflow_cycle_manage.py
+++ b/api/core/app/task_pipeline/workflow_cycle_manage.py
@@ -381,7 +381,7 @@ class WorkflowCycleManage:
                id=workflow_run.id,
                workflow_id=workflow_run.workflow_id,
                sequence_number=workflow_run.sequence_number,
-                inputs=workflow_run.inputs_dict or {},
+                inputs=workflow_run.inputs_dict,
                created_at=int(workflow_run.created_at.timestamp()),
            ),
        )
@@ -428,7 +428,7 @@ class WorkflowCycleManage:
                created_by=created_by,
                created_at=int(workflow_run.created_at.timestamp()),
                finished_at=int(workflow_run.finished_at.timestamp()),
-                files=self._fetch_files_from_node_outputs(workflow_run.outputs_dict or {}),
+                files=self._fetch_files_from_node_outputs(workflow_run.outputs_dict),
            ),
        )

--- a/api/core/file/models.py
+++ b/api/core/file/models.py
@@ -28,8 +28,8 @@ class FileUploadConfig(BaseModel):

    image_config: Optional[ImageConfig] = None
    allowed_file_types: Sequence[FileType] = Field(default_factory=list)
-    allowed_extensions: Sequence[str] = Field(default_factory=list)
-    allowed_upload_methods: Sequence[FileTransferMethod] = Field(default_factory=list)
+    allowed_file_extensions: Sequence[str] = Field(default_factory=list)
+    allowed_file_upload_methods: Sequence[FileTransferMethod] = Field(default_factory=list)
    number_limits: int = 0


--- a/api/core/helper/moderation.py
+++ b/api/core/helper/moderation.py
@@ -41,7 +41,7 @@ def check_moderation(model_config: ModelConfigWithCredentialsEntity, text: str)
                if moderation_result is True:
                    return True
            except Exception as ex:
-                logger.exception(ex)
+                logger.exception(f"Fails to check moderation, provider_name: {provider_name}")
                raise InvokeBadRequestError("Rate limit exceeded, please try again later.")

    return False
--- a/api/core/helper/module_import_helper.py
+++ b/api/core/helper/module_import_helper.py
@@ -29,7 +29,7 @@ def import_module_from_source(*, module_name: str, py_file_path: AnyStr, use_laz
        spec.loader.exec_module(module)
        return module
    except Exception as e:
-        logging.exception(f"Failed to load module {module_name} from {py_file_path}: {str(e)}")
+        logging.exception(f"Failed to load module {module_name} from script file '{py_file_path}'")
        raise e


--- a/api/core/helper/ssrf_proxy.py
+++ b/api/core/helper/ssrf_proxy.py
@@ -39,6 +39,7 @@ def make_request(method, url, max_retries=SSRF_DEFAULT_MAX_RETRIES, **kwargs):
        )

    retries = 0
+    stream = kwargs.pop("stream", False)
    while retries <= max_retries:
        try:
            if dify_config.SSRF_PROXY_ALL_URL:
@@ -52,6 +53,8 @@ def make_request(method, url, max_retries=SSRF_DEFAULT_MAX_RETRIES, **kwargs):
                    response = client.request(method=method, url=url, **kwargs)

            if response.status_code not in STATUS_FORCELIST:
+                if stream:
+                    return response.iter_bytes()
                return response
            else:
                logging.warning(f"Received status code {response.status_code} for URL {url} which is in the force list")
--- a/api/core/indexing_runner.py
+++ b/api/core/indexing_runner.py
@@ -29,6 +29,8 @@ from core.rag.splitter.fixed_text_splitter import (
    FixedRecursiveCharacterTextSplitter,
 )
 from core.rag.splitter.text_splitter import TextSplitter
+from core.tools.utils.text_processing_utils import remove_leading_symbols
+from core.tools.utils.web_reader_tool import get_image_upload_file_ids
 from extensions.ext_database import db
 from extensions.ext_redis import redis_client
 from extensions.ext_storage import storage
@@ -278,6 +280,19 @@ class IndexingRunner:
                if len(preview_texts) < 5:
                    preview_texts.append(document.page_content)

+                # delete image files and related db records
+                image_upload_file_ids = get_image_upload_file_ids(document.page_content)
+                for upload_file_id in image_upload_file_ids:
+                    image_file = db.session.query(UploadFile).filter(UploadFile.id == upload_file_id).first()
+                    try:
+                        storage.delete(image_file.key)
+                    except Exception:
+                        logging.exception(
+                            "Delete image_files failed while indexing_estimate, \
+                                          image_upload_file_is: {}".format(upload_file_id)
+                        )
+                    db.session.delete(image_file)
+
        if doc_form and doc_form == "qa_model":
            if len(preview_texts) > 0:
                # qa model document
@@ -500,11 +515,7 @@ class IndexingRunner:
                    document_node.metadata["doc_hash"] = hash
                    # delete Splitter character
                    page_content = document_node.page_content
-                    if page_content.startswith(".") or page_content.startswith("。"):
-                        page_content = page_content[1:]
-                    else:
-                        page_content = page_content
-                    document_node.page_content = page_content
+                    document_node.page_content = remove_leading_symbols(page_content)

                    if document_node.page_content:
                        split_documents.append(document_node)
@@ -554,7 +565,7 @@ class IndexingRunner:
                    qa_documents.append(qa_document)
                format_documents.extend(qa_documents)
            except Exception as e:
-                logging.exception(e)
+                logging.exception("Failed to format qa document")

            all_qa_documents.extend(format_documents)

--- a/api/core/llm_generator/llm_generator.py
+++ b/api/core/llm_generator/llm_generator.py
@@ -102,7 +102,7 @@ class LLMGenerator:
        except InvokeError:
            questions = []
        except Exception as e:
-            logging.exception(e)
+            logging.exception("Failed to generate suggested questions after answer")
            questions = []

        return questions
@@ -148,7 +148,7 @@ class LLMGenerator:
                error = str(e)
                error_step = "generate rule config"
            except Exception as e:
-                logging.exception(e)
+                logging.exception(f"Failed to generate rule config, model: {model_config.get('name')}")
                rule_config["error"] = str(e)

            rule_config["error"] = f"Failed to {error_step}. Error: {error}" if error else ""
@@ -234,7 +234,7 @@ class LLMGenerator:
                error_step = "generate conversation opener"

        except Exception as e:
-            logging.exception(e)
+            logging.exception(f"Failed to generate rule config, model: {model_config.get('name')}")
            rule_config["error"] = str(e)

        rule_config["error"] = f"Failed to {error_step}. Error: {error}" if error else ""
@@ -286,7 +286,9 @@ class LLMGenerator:
            error = str(e)
            return {"code": "", "language": code_language, "error": f"Failed to generate code. Error: {error}"}
        except Exception as e:
-            logging.exception(e)
+            logging.exception(
+                f"Failed to invoke LLM model, model: {model_config.get('name')}, language: {code_language}"
+            )
            return {"code": "", "language": code_language, "error": f"An unexpected error occurred: {str(e)}"}

    @classmethod
--- a/api/core/model_runtime/model_providers/anthropic/llm/llm.py
+++ b/api/core/model_runtime/model_providers/anthropic/llm/llm.py
@@ -325,14 +325,13 @@ class AnthropicLargeLanguageModel(LargeLanguageModel):
                assistant_prompt_message.tool_calls.append(tool_call)

        # calculate num tokens
-        if response.usage:
-            # transform usage
-            prompt_tokens = response.usage.input_tokens
-            completion_tokens = response.usage.output_tokens
-        else:
-            # calculate num tokens
-            prompt_tokens = self.get_num_tokens(model, credentials, prompt_messages)
-            completion_tokens = self.get_num_tokens(model, credentials, [assistant_prompt_message])
+        prompt_tokens = (response.usage and response.usage.input_tokens) or self.get_num_tokens(
+            model, credentials, prompt_messages
+        )
+
+        completion_tokens = (response.usage and response.usage.output_tokens) or self.get_num_tokens(
+            model, credentials, [assistant_prompt_message]
+        )

        # transform usage
        usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
--- a/api/core/model_runtime/model_providers/azure_ai_studio/rerank/rerank.py
+++ b/api/core/model_runtime/model_providers/azure_ai_studio/rerank/rerank.py
@@ -103,7 +103,7 @@ class AzureRerankModel(RerankModel):
            return RerankResult(model=model, docs=rerank_documents)

        except Exception as e:
-            logger.exception(f"Exception in Azure rerank: {e}")
+            logger.exception(f"Failed to invoke rerank model, model: {model}")
            raise

    def validate_credentials(self, model: str, credentials: dict) -> None:
--- a/api/core/model_runtime/model_providers/bedrock/llm/llm.py
+++ b/api/core/model_runtime/model_providers/bedrock/llm/llm.py
@@ -2,13 +2,11 @@
 import base64
 import json
 import logging
-import mimetypes
 from collections.abc import Generator
 from typing import Optional, Union, cast

 # 3rd import
 import boto3
-import requests
 from botocore.config import Config
 from botocore.exceptions import (
    ClientError,
@@ -439,22 +437,10 @@ class BedrockLargeLanguageModel(LargeLanguageModel):
                        sub_messages.append(sub_message_dict)
                    elif message_content.type == PromptMessageContentType.IMAGE:
                        message_content = cast(ImagePromptMessageContent, message_content)
-                        if not message_content.data.startswith("data:"):
-                            # fetch image data from url
-                            try:
-                                url = message_content.data
-                                image_content = requests.get(url).content
-                                if "?" in url:
-                                    url = url.split("?")[0]
-                                mime_type, _ = mimetypes.guess_type(url)
-                                base64_data = base64.b64encode(image_content).decode("utf-8")
-                            except Exception as ex:
-                                raise ValueError(f"Failed to fetch image data from url {message_content.data}, {ex}")
-                        else:
-                            data_split = message_content.data.split(";base64,")
-                            mime_type = data_split[0].replace("data:", "")
-                            base64_data = data_split[1]
-                            image_content = base64.b64decode(base64_data)
+                        data_split = message_content.data.split(";base64,")
+                        mime_type = data_split[0].replace("data:", "")
+                        base64_data = data_split[1]
+                        image_content = base64.b64decode(base64_data)

                        if mime_type not in {"image/jpeg", "image/png", "image/gif", "image/webp"}:
                            raise ValueError(
--- a/api/core/model_runtime/model_providers/cohere/llm/llm.py
+++ b/api/core/model_runtime/model_providers/cohere/llm/llm.py
@@ -691,8 +691,8 @@ class CohereLargeLanguageModel(LargeLanguageModel):
        base_model_schema = cast(AIModelEntity, base_model_schema)

        base_model_schema_features = base_model_schema.features or []
-        base_model_schema_model_properties = base_model_schema.model_properties or {}
-        base_model_schema_parameters_rules = base_model_schema.parameter_rules or []
+        base_model_schema_model_properties = base_model_schema.model_properties
+        base_model_schema_parameters_rules = base_model_schema.parameter_rules

        entity = AIModelEntity(
            model=model,
--- a/api/core/model_runtime/model_providers/google/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/_position.yaml
@@ -11,5 +11,6 @@
 - gemini-1.5-flash-exp-0827
 - gemini-1.5-flash-8b-exp-0827
 - gemini-1.5-flash-8b-exp-0924
+- gemini-exp-1114
 - gemini-pro
 - gemini-pro-vision
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml
@@ -24,14 +24,13 @@ parameter_rules:
      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
      en_US: Only sample from the top K options for each subsequent token.
    required: false
-  - name: max_tokens_to_sample
+  - name: max_output_tokens
    use_template: max_tokens
-    required: true
    default: 8192
    min: 1
    max: 8192
-  - name: response_format
-    use_template: response_format
+  - name: json_schema
+    use_template: json_schema
 pricing:
  input: '0.00'
  output: '0.00'
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml
@@ -24,14 +24,13 @@ parameter_rules:
      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
      en_US: Only sample from the top K options for each subsequent token.
    required: false
-  - name: max_tokens_to_sample
+  - name: max_output_tokens
    use_template: max_tokens
-    required: true
    default: 8192
    min: 1
    max: 8192
-  - name: response_format
-    use_template: response_format
+  - name: json_schema
+    use_template: json_schema
 pricing:
  input: '0.00'
  output: '0.00'
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml
@@ -24,14 +24,13 @@ parameter_rules:
      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
      en_US: Only sample from the top K options for each subsequent token.
    required: false
-  - name: max_tokens_to_sample
+  - name: max_output_tokens
    use_template: max_tokens
-    required: true
    default: 8192
    min: 1
    max: 8192
-  - name: response_format
-    use_template: response_format
+  - name: json_schema
+    use_template: json_schema
 pricing:
  input: '0.00'
  output: '0.00'
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml
@@ -24,14 +24,13 @@ parameter_rules:
      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
      en_US: Only sample from the top K options for each subsequent token.
    required: false
-  - name: max_tokens_to_sample
+  - name: max_output_tokens
    use_template: max_tokens
-    required: true
    default: 8192
    min: 1
    max: 8192
-  - name: response_format
-    use_template: response_format
+  - name: json_schema
+    use_template: json_schema
 pricing:
  input: '0.00'
  output: '0.00'
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml
@@ -24,14 +24,13 @@ parameter_rules:
      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
      en_US: Only sample from the top K options for each subsequent token.
    required: false
-  - name: max_tokens_to_sample
+  - name: max_output_tokens
    use_template: max_tokens
-    required: true
    default: 8192
    min: 1
    max: 8192
-  - name: response_format
-    use_template: response_format
+  - name: json_schema
+    use_template: json_schema
 pricing:
  input: '0.00'
  output: '0.00'
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml
@@ -24,14 +24,13 @@ parameter_rules:
      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
      en_US: Only sample from the top K options for each subsequent token.
    required: false
-  - name: max_tokens_to_sample
+  - name: max_output_tokens
    use_template: max_tokens
-    required: true
    default: 8192
    min: 1
    max: 8192
-  - name: response_format
-    use_template: response_format
+  - name: json_schema
+    use_template: json_schema
 pricing:
  input: '0.00'
  output: '0.00'
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml
@@ -24,14 +24,13 @@ parameter_rules:
      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
      en_US: Only sample from the top K options for each subsequent token.
    required: false
-  - name: max_tokens_to_sample
+  - name: max_output_tokens
    use_template: max_tokens
-    required: true
    default: 8192
    min: 1
    max: 8192
-  - name: response_format
-    use_template: response_format
+  - name: json_schema
+    use_template: json_schema
 pricing:
  input: '0.00'
  output: '0.00'
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml
@@ -24,14 +24,13 @@ parameter_rules:
      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
      en_US: Only sample from the top K options for each subsequent token.
    required: false
-  - name: max_tokens_to_sample
+  - name: max_output_tokens
    use_template: max_tokens
-    required: true
    default: 8192
    min: 1
    max: 8192
-  - name: response_format
-    use_template: response_format
+  - name: json_schema
+    use_template: json_schema
 pricing:
  input: '0.00'
  output: '0.00'
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml
@@ -24,14 +24,13 @@ parameter_rules:
      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
      en_US: Only sample from the top K options for each subsequent token.
    required: false
-  - name: max_tokens_to_sample
+  - name: max_output_tokens
    use_template: max_tokens
-    required: true
    default: 8192
    min: 1
    max: 8192
-  - name: response_format
-    use_template: response_format
+  - name: json_schema
+    use_template: json_schema
 pricing:
  input: '0.00'
  output: '0.00'
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml
@@ -24,14 +24,13 @@ parameter_rules:
      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
      en_US: Only sample from the top K options for each subsequent token.
    required: false
-  - name: max_tokens_to_sample
+  - name: max_output_tokens
    use_template: max_tokens
-    required: true
    default: 8192
    min: 1
    max: 8192
-  - name: response_format
-    use_template: response_format
+  - name: json_schema
+    use_template: json_schema
 pricing:
  input: '0.00'
  output: '0.00'
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml
@@ -24,14 +24,13 @@ parameter_rules:
      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
      en_US: Only sample from the top K options for each subsequent token.
    required: false
-  - name: max_tokens_to_sample
+  - name: max_output_tokens
    use_template: max_tokens
-    required: true
    default: 8192
    min: 1
    max: 8192
-  - name: response_format
-    use_template: response_format
+  - name: json_schema
+    use_template: json_schema
 pricing:
  input: '0.00'
  output: '0.00'
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml
@@ -24,14 +24,13 @@ parameter_rules:
      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
      en_US: Only sample from the top K options for each subsequent token.
    required: false
-  - name: max_tokens_to_sample
+  - name: max_output_tokens
    use_template: max_tokens
-    required: true
    default: 8192
    min: 1
    max: 8192
-  - name: response_format
-    use_template: response_format
+  - name: json_schema
+    use_template: json_schema
 pricing:
  input: '0.00'
  output: '0.00'
--- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml
@@ -24,14 +24,13 @@ parameter_rules:
      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
      en_US: Only sample from the top K options for each subsequent token.
    required: false
-  - name: max_tokens_to_sample
+  - name: max_output_tokens
    use_template: max_tokens
-    required: true
    default: 8192
    min: 1
    max: 8192
-  - name: response_format
-    use_template: response_format
+  - name: json_schema
+    use_template: json_schema
 pricing:
  input: '0.00'
  output: '0.00'
--- a/api/core/model_runtime/model_providers/google/llm/gemini-exp-1114.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-exp-1114.yaml
@@ -0,0 +1,38 @@
+model: gemini-exp-1114
+label:
+  en_US: Gemini exp 1114
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 2097152
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD
--- a/api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml
@@ -32,3 +32,4 @@ pricing:
  output: '0.00'
  unit: '0.000001'
  currency: USD
+deprecated: true
--- a/api/core/model_runtime/model_providers/google/llm/gemini-pro.yaml
+++ b/api/core/model_runtime/model_providers/google/llm/gemini-pro.yaml
@@ -36,3 +36,4 @@ pricing:
  output: '0.00'
  unit: '0.000001'
  currency: USD
+deprecated: true
--- a/api/core/model_runtime/model_providers/google/llm/llm.py
+++ b/api/core/model_runtime/model_providers/google/llm/llm.py
@@ -1,7 +1,6 @@
 import base64
 import io
 import json
-import logging
 from collections.abc import Generator
 from typing import Optional, Union, cast

@@ -36,17 +35,6 @@ from core.model_runtime.errors.invoke import (
 from core.model_runtime.errors.validate import CredentialsValidateFailedError
 from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel

-logger = logging.getLogger(__name__)
-
-GEMINI_BLOCK_MODE_PROMPT = """You should always follow the instructions and output a valid {{block}} object.
-The structure of the {{block}} object you can found in the instructions, use {"answer": "$your_answer"} as the default structure
-if you are not sure about the structure.
-
-<instructions>
-{{instructions}}
-</instructions>
-"""  # noqa: E501
-

 class GoogleLargeLanguageModel(LargeLanguageModel):
    def _invoke(
@@ -155,7 +143,7 @@ class GoogleLargeLanguageModel(LargeLanguageModel):

        try:
            ping_message = SystemPromptMessage(content="ping")
-            self._generate(model, credentials, [ping_message], {"max_tokens_to_sample": 5})
+            self._generate(model, credentials, [ping_message], {"max_output_tokens": 5})

        except Exception as ex:
            raise CredentialsValidateFailedError(str(ex))
@@ -184,7 +172,15 @@ class GoogleLargeLanguageModel(LargeLanguageModel):
        :return: full response or stream response chunk generator result
        """
        config_kwargs = model_parameters.copy()
-        config_kwargs["max_output_tokens"] = config_kwargs.pop("max_tokens_to_sample", None)
+        if schema := config_kwargs.pop("json_schema", None):
+            try:
+                schema = json.loads(schema)
+            except:
+                raise exceptions.InvalidArgument("Invalid JSON Schema")
+            if tools:
+                raise exceptions.InvalidArgument("gemini not support use Tools and JSON Schema at same time")
+            config_kwargs["response_schema"] = schema
+            config_kwargs["response_mime_type"] = "application/json"

        if stop:
            config_kwargs["stop_sequences"] = stop
--- a/api/core/model_runtime/model_providers/minimax/llm/abab7-chat-preview.yaml
+++ b/api/core/model_runtime/model_providers/minimax/llm/abab7-chat-preview.yaml
@@ -0,0 +1,46 @@
+model: abab7-chat-preview
+label:
+  en_US: Abab7-chat-preview
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 245760
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    min: 0.01
+    max: 1
+    default: 0.1
+  - name: top_p
+    use_template: top_p
+    min: 0.01
+    max: 1
+    default: 0.95
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 2048
+    min: 1
+    max: 245760
+  - name: mask_sensitive_info
+    type: boolean
+    default: true
+    label:
+      zh_Hans: 隐私保护
+      en_US: Moderate
+    help:
+      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
+      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+pricing:
+  input: '0.1'
+  output: '0.1'
+  unit: '0.001'
+  currency: RMB
--- a/api/core/model_runtime/model_providers/minimax/llm/llm.py
+++ b/api/core/model_runtime/model_providers/minimax/llm/llm.py
@@ -34,6 +34,7 @@ from core.model_runtime.model_providers.minimax.llm.types import MinimaxMessage

 class MinimaxLargeLanguageModel(LargeLanguageModel):
    model_apis = {
+        "abab7-chat-preview": MinimaxChatCompletionPro,
        "abab6.5s-chat": MinimaxChatCompletionPro,
        "abab6.5-chat": MinimaxChatCompletionPro,
        "abab6-chat": MinimaxChatCompletionPro,
--- a/api/core/model_runtime/model_providers/ollama/llm/llm.py
+++ b/api/core/model_runtime/model_providers/ollama/llm/llm.py
@@ -22,6 +22,7 @@ from core.model_runtime.entities.message_entities import (
    PromptMessageTool,
    SystemPromptMessage,
    TextPromptMessageContent,
+    ToolPromptMessage,
    UserPromptMessage,
 )
 from core.model_runtime.entities.model_entities import (
@@ -86,6 +87,7 @@ class OllamaLargeLanguageModel(LargeLanguageModel):
            credentials=credentials,
            prompt_messages=prompt_messages,
            model_parameters=model_parameters,
+            tools=tools,
            stop=stop,
            stream=stream,
            user=user,
@@ -153,6 +155,7 @@ class OllamaLargeLanguageModel(LargeLanguageModel):
        credentials: dict,
        prompt_messages: list[PromptMessage],
        model_parameters: dict,
+        tools: Optional[list[PromptMessageTool]] = None,
        stop: Optional[list[str]] = None,
        stream: bool = True,
        user: Optional[str] = None,
@@ -196,6 +199,8 @@ class OllamaLargeLanguageModel(LargeLanguageModel):
        if completion_type is LLMMode.CHAT:
            endpoint_url = urljoin(endpoint_url, "api/chat")
            data["messages"] = [self._convert_prompt_message_to_dict(m) for m in prompt_messages]
+            if tools:
+                data["tools"] = [self._convert_prompt_message_tool_to_dict(tool) for tool in tools]
        else:
            endpoint_url = urljoin(endpoint_url, "api/generate")
            first_prompt_message = prompt_messages[0]
@@ -232,7 +237,7 @@ class OllamaLargeLanguageModel(LargeLanguageModel):
        if stream:
            return self._handle_generate_stream_response(model, credentials, completion_type, response, prompt_messages)

-        return self._handle_generate_response(model, credentials, completion_type, response, prompt_messages)
+        return self._handle_generate_response(model, credentials, completion_type, response, prompt_messages, tools)

    def _handle_generate_response(
        self,
@@ -241,6 +246,7 @@ class OllamaLargeLanguageModel(LargeLanguageModel):
        completion_type: LLMMode,
        response: requests.Response,
        prompt_messages: list[PromptMessage],
+        tools: Optional[list[PromptMessageTool]],
    ) -> LLMResult:
        """
        Handle llm completion response
@@ -253,14 +259,16 @@ class OllamaLargeLanguageModel(LargeLanguageModel):
        :return: llm result
        """
        response_json = response.json()
-
+        tool_calls = []
        if completion_type is LLMMode.CHAT:
            message = response_json.get("message", {})
            response_content = message.get("content", "")
+            response_tool_calls = message.get("tool_calls", [])
+            tool_calls = [self._extract_response_tool_call(tool_call) for tool_call in response_tool_calls]
        else:
            response_content = response_json["response"]

-        assistant_message = AssistantPromptMessage(content=response_content)
+        assistant_message = AssistantPromptMessage(content=response_content, tool_calls=tool_calls)

        if "prompt_eval_count" in response_json and "eval_count" in response_json:
            # transform usage
@@ -405,9 +413,28 @@ class OllamaLargeLanguageModel(LargeLanguageModel):

            chunk_index += 1

+    def _convert_prompt_message_tool_to_dict(self, tool: PromptMessageTool) -> dict:
+        """
+        Convert PromptMessageTool to dict for Ollama API
+
+        :param tool: tool
+        :return: tool dict
+        """
+        return {
+            "type": "function",
+            "function": {
+                "name": tool.name,
+                "description": tool.description,
+                "parameters": tool.parameters,
+            },
+        }
+
    def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict:
        """
        Convert PromptMessage to dict for Ollama API
+
+        :param message: prompt message
+        :return: message dict
        """
        if isinstance(message, UserPromptMessage):
            message = cast(UserPromptMessage, message)
@@ -432,6 +459,9 @@ class OllamaLargeLanguageModel(LargeLanguageModel):
        elif isinstance(message, SystemPromptMessage):
            message = cast(SystemPromptMessage, message)
            message_dict = {"role": "system", "content": message.content}
+        elif isinstance(message, ToolPromptMessage):
+            message = cast(ToolPromptMessage, message)
+            message_dict = {"role": "tool", "content": message.content}
        else:
            raise ValueError(f"Got unknown type {message}")

@@ -452,6 +482,29 @@ class OllamaLargeLanguageModel(LargeLanguageModel):

        return num_tokens

+    def _extract_response_tool_call(self, response_tool_call: dict) -> AssistantPromptMessage.ToolCall:
+        """
+        Extract response tool call
+        """
+        tool_call = None
+        if response_tool_call and "function" in response_tool_call:
+            # Convert arguments to JSON string if it's a dict
+            arguments = response_tool_call.get("function").get("arguments")
+            if isinstance(arguments, dict):
+                arguments = json.dumps(arguments)
+
+            function = AssistantPromptMessage.ToolCall.ToolCallFunction(
+                name=response_tool_call.get("function").get("name"),
+                arguments=arguments,
+            )
+            tool_call = AssistantPromptMessage.ToolCall(
+                id=response_tool_call.get("function").get("name"),
+                type="function",
+                function=function,
+            )
+
+        return tool_call
+
    def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity:
        """
        Get customizable model schema.
@@ -461,10 +514,15 @@ class OllamaLargeLanguageModel(LargeLanguageModel):

        :return: model schema
        """
-        extras = {}
+        extras = {
+            "features": [],
+        }

        if "vision_support" in credentials and credentials["vision_support"] == "true":
-            extras["features"] = [ModelFeature.VISION]
+            extras["features"].append(ModelFeature.VISION)
+        if "function_call_support" in credentials and credentials["function_call_support"] == "true":
+            extras["features"].append(ModelFeature.TOOL_CALL)
+            extras["features"].append(ModelFeature.MULTI_TOOL_CALL)

        entity = AIModelEntity(
            model=model,
--- a/api/core/model_runtime/model_providers/ollama/ollama.yaml
+++ b/api/core/model_runtime/model_providers/ollama/ollama.yaml
@@ -96,3 +96,22 @@ model_credential_schema:
          label:
            en_US: 'No'
            zh_Hans: 否
+    - variable: function_call_support
+      label:
+        zh_Hans: 是否支持函数调用
+        en_US: Function call support
+      show_on:
+        - variable: __model_type
+          value: llm
+      default: 'false'
+      type: radio
+      required: false
+      options:
+        - value: 'true'
+          label:
+            en_US: 'Yes'
+            zh_Hans: 是
+        - value: 'false'
+          label:
+            en_US: 'No'
+            zh_Hans: 否
--- a/api/core/model_runtime/model_providers/openai/llm/gpt-4o-audio-preview.yaml
+++ b/api/core/model_runtime/model_providers/openai/llm/gpt-4o-audio-preview.yaml
@@ -7,7 +7,6 @@ features:
  - multi-tool-call
  - agent-thought
  - stream-tool-call
-  - vision
 model_properties:
  mode: chat
  context_size: 128000
--- a/api/core/model_runtime/model_providers/openai/llm/llm.py
+++ b/api/core/model_runtime/model_providers/openai/llm/llm.py
@@ -615,19 +615,11 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
        prompt_messages = self._clear_illegal_prompt_messages(model, prompt_messages)

        # o1 compatibility
-        block_as_stream = False
        if model.startswith("o1"):
            if "max_tokens" in model_parameters:
                model_parameters["max_completion_tokens"] = model_parameters["max_tokens"]
                del model_parameters["max_tokens"]

-            if stream:
-                block_as_stream = True
-                stream = False
-
-                if "stream_options" in extra_model_kwargs:
-                    del extra_model_kwargs["stream_options"]
-
            if "stop" in extra_model_kwargs:
                del extra_model_kwargs["stop"]

@@ -644,47 +636,7 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
        if stream:
            return self._handle_chat_generate_stream_response(model, credentials, response, prompt_messages, tools)

-        block_result = self._handle_chat_generate_response(model, credentials, response, prompt_messages, tools)
-
-        if block_as_stream:
-            return self._handle_chat_block_as_stream_response(block_result, prompt_messages, stop)
-
-        return block_result
-
-    def _handle_chat_block_as_stream_response(
-        self,
-        block_result: LLMResult,
-        prompt_messages: list[PromptMessage],
-        stop: Optional[list[str]] = None,
-    ) -> Generator[LLMResultChunk, None, None]:
-        """
-        Handle llm chat response
-
-        :param model: model name
-        :param credentials: credentials
-        :param response: response
-        :param prompt_messages: prompt messages
-        :param tools: tools for tool calling
-        :param stop: stop words
-        :return: llm response chunk generator
-        """
-        text = block_result.message.content
-        text = cast(str, text)
-
-        if stop:
-            text = self.enforce_stop_tokens(text, stop)
-
-        yield LLMResultChunk(
-            model=block_result.model,
-            prompt_messages=prompt_messages,
-            system_fingerprint=block_result.system_fingerprint,
-            delta=LLMResultChunkDelta(
-                index=0,
-                message=AssistantPromptMessage(content=text),
-                finish_reason="stop",
-                usage=block_result.usage,
-            ),
-        )
+        return self._handle_chat_generate_response(model, credentials, response, prompt_messages, tools)

    def _handle_chat_generate_response(
        self,
@@ -1178,8 +1130,8 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
        base_model_schema = model_map[base_model]

        base_model_schema_features = base_model_schema.features or []
-        base_model_schema_model_properties = base_model_schema.model_properties or {}
-        base_model_schema_parameters_rules = base_model_schema.parameter_rules or []
+        base_model_schema_model_properties = base_model_schema.model_properties
+        base_model_schema_parameters_rules = base_model_schema.parameter_rules

        entity = AIModelEntity(
            model=model,
--- a/api/core/model_runtime/model_providers/openai_api_compatible/rerank/rerank.py
+++ b/api/core/model_runtime/model_providers/openai_api_compatible/rerank/rerank.py
@@ -64,7 +64,7 @@ class OAICompatRerankModel(RerankModel):

        # TODO: Do we need truncate docs to avoid llama.cpp return error?

-        data = {"model": model_name, "query": query, "documents": docs, "top_n": top_n}
+        data = {"model": model_name, "query": query, "documents": docs, "top_n": top_n, "return_documents": True}

        try:
            response = post(str(URL(url) / "rerank"), headers=headers, data=dumps(data), timeout=60)
@@ -83,7 +83,13 @@ class OAICompatRerankModel(RerankModel):
                index = result["index"]

                # Retrieve document text (fallback if llama.cpp rerank doesn't return it)
-                text = result.get("document", {}).get("text", docs[index])
+                text = docs[index]
+                document = result.get("document", {})
+                if document:
+                    if isinstance(document, dict):
+                        text = document.get("text", docs[index])
+                    elif isinstance(document, str):
+                        text = document

                # Normalize the score
                normalized_score = (result["relevance_score"] - min_score) / score_range
--- a/api/core/model_runtime/model_providers/openllm/llm/openllm_generate.py
+++ b/api/core/model_runtime/model_providers/openllm/llm/openllm_generate.py
@@ -37,13 +37,14 @@ class OpenLLMGenerateMessage:
 class OpenLLMGenerate:
    def generate(
        self,
+        *,
        server_url: str,
        model_name: str,
        stream: bool,
        model_parameters: dict[str, Any],
-        stop: list[str],
+        stop: list[str] | None = None,
        prompt_messages: list[OpenLLMGenerateMessage],
-        user: str,
+        user: str | None = None,
    ) -> Union[Generator[OpenLLMGenerateMessage, None, None], OpenLLMGenerateMessage]:
        if not server_url:
            raise InvalidAuthenticationError("Invalid server URL")
--- a/api/core/model_runtime/model_providers/openrouter/llm/llm.py
+++ b/api/core/model_runtime/model_providers/openrouter/llm/llm.py
@@ -45,19 +45,7 @@ class OpenRouterLargeLanguageModel(OAIAPICompatLargeLanguageModel):
        user: Optional[str] = None,
    ) -> Union[LLMResult, Generator]:
        self._update_credential(model, credentials)
-
-        block_as_stream = False
-        if model.startswith("openai/o1"):
-            block_as_stream = True
-            stop = None
-
-        # invoke block as stream
-        if stream and block_as_stream:
-            return self._generate_block_as_stream(
-                model, credentials, prompt_messages, model_parameters, tools, stop, user
-            )
-        else:
-            return super()._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)
+        return super()._generate(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user)

    def _generate_block_as_stream(
        self,
@@ -69,9 +57,7 @@ class OpenRouterLargeLanguageModel(OAIAPICompatLargeLanguageModel):
        stop: Optional[list[str]] = None,
        user: Optional[str] = None,
    ) -> Generator:
-        resp: LLMResult = super()._generate(
-            model, credentials, prompt_messages, model_parameters, tools, stop, False, user
-        )
+        resp = super()._generate(model, credentials, prompt_messages, model_parameters, tools, stop, False, user)

        yield LLMResultChunk(
            model=model,
--- a/api/core/model_runtime/model_providers/sagemaker/rerank/rerank.py
+++ b/api/core/model_runtime/model_providers/sagemaker/rerank/rerank.py
@@ -113,7 +113,7 @@ class SageMakerRerankModel(RerankModel):
            return RerankResult(model=model, docs=rerank_documents)

        except Exception as e:
-            logger.exception(f"Exception {e}, line : {line}")
+            logger.exception(f"Failed to invoke rerank model, model: {model}")

    def validate_credentials(self, model: str, credentials: dict) -> None:
        """
--- a/api/core/model_runtime/model_providers/sagemaker/speech2text/speech2text.py
+++ b/api/core/model_runtime/model_providers/sagemaker/speech2text/speech2text.py
@@ -78,7 +78,7 @@ class SageMakerSpeech2TextModel(Speech2TextModel):
            json_obj = json.loads(json_str)
            asr_text = json_obj["text"]
        except Exception as e:
-            logger.exception(f"failed to invoke speech2text model, {e}")
+            logger.exception(f"failed to invoke speech2text model, model: {model}")
            raise CredentialsValidateFailedError(str(e))

        return asr_text
--- a/api/core/model_runtime/model_providers/sagemaker/text_embedding/text_embedding.py
+++ b/api/core/model_runtime/model_providers/sagemaker/text_embedding/text_embedding.py
@@ -117,7 +117,7 @@ class SageMakerEmbeddingModel(TextEmbeddingModel):
            return TextEmbeddingResult(embeddings=all_embeddings, usage=usage, model=model)

        except Exception as e:
-            logger.exception(f"Exception {e}, line : {line}")
+            logger.exception(f"Failed to invoke text embedding model, model: {model}, line: {line}")

    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
        """
--- a/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-26b.yaml
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-26b.yaml
@@ -0,0 +1,84 @@
+model: OpenGVLab/InternVL2-26B
+label:
+  en_US: OpenGVLab/InternVL2-26B
+model_type: llm
+features:
+  - vision
+model_properties:
+  mode: chat
+  context_size: 32768
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    type: float
+    default: 0.3
+    min: 0.0
+    max: 2.0
+    help:
+      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
+      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
+  - name: max_tokens
+    use_template: max_tokens
+    type: int
+    default: 2000
+    min: 1
+    max: 2000
+    help:
+      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
+      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
+  - name: top_p
+    use_template: top_p
+    type: float
+    default: 0.8
+    min: 0.1
+    max: 0.9
+    help:
+      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
+      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
+  - name: top_k
+    type: int
+    min: 0
+    max: 99
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    help:
+      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
+      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
+  - name: seed
+    required: false
+    type: int
+    default: 1234
+    label:
+      zh_Hans: 随机种子
+      en_US: Random seed
+    help:
+      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
+      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
+  - name: repetition_penalty
+    required: false
+    type: float
+    default: 1.1
+    label:
+      zh_Hans: 重复惩罚
+      en_US: Repetition penalty
+    help:
+      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
+      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '21'
+  output: '21'
+  unit: '0.000001'
+  currency: RMB
--- a/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-8b.yaml
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/Internvl2-8b.yaml
@@ -0,0 +1,84 @@
+model: Pro/OpenGVLab/InternVL2-8B
+label:
+  en_US: Pro/OpenGVLab/InternVL2-8B
+model_type: llm
+features:
+  - vision
+model_properties:
+  mode: chat
+  context_size: 32768
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    type: float
+    default: 0.3
+    min: 0.0
+    max: 2.0
+    help:
+      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
+      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
+  - name: max_tokens
+    use_template: max_tokens
+    type: int
+    default: 2000
+    min: 1
+    max: 2000
+    help:
+      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
+      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
+  - name: top_p
+    use_template: top_p
+    type: float
+    default: 0.8
+    min: 0.1
+    max: 0.9
+    help:
+      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
+      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
+  - name: top_k
+    type: int
+    min: 0
+    max: 99
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    help:
+      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
+      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
+  - name: seed
+    required: false
+    type: int
+    default: 1234
+    label:
+      zh_Hans: 随机种子
+      en_US: Random seed
+    help:
+      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
+      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
+  - name: repetition_penalty
+    required: false
+    type: float
+    default: 1.1
+    label:
+      zh_Hans: 重复惩罚
+      en_US: Repetition penalty
+    help:
+      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
+      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '21'
+  output: '21'
+  unit: '0.000001'
+  currency: RMB
--- a/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml
@@ -1,16 +1,18 @@
+- Tencent/Hunyuan-A52B-Instruct
 - Qwen/Qwen2.5-72B-Instruct
 - Qwen/Qwen2.5-32B-Instruct
 - Qwen/Qwen2.5-14B-Instruct
 - Qwen/Qwen2.5-7B-Instruct
+- Qwen/Qwen2.5-Coder-32B-Instruct
 - Qwen/Qwen2.5-Coder-7B-Instruct
 - Qwen/Qwen2.5-Math-72B-Instruct
- Qwen/Qwen2-72B-Instruct
- Qwen/Qwen2-57B-A14B-Instruct
- Qwen/Qwen2-7B-Instruct
+- Qwen/Qwen2-VL-72B-Instruct
 - Qwen/Qwen2-1.5B-Instruct
+- Pro/Qwen/Qwen2-VL-7B-Instruct
+- OpenGVLab/InternVL2-Llama3-76B
+- OpenGVLab/InternVL2-26B
+- Pro/OpenGVLab/InternVL2-8B
 - deepseek-ai/DeepSeek-V2.5
- deepseek-ai/DeepSeek-V2-Chat
- deepseek-ai/DeepSeek-Coder-V2-Instruct
 - THUDM/glm-4-9b-chat
 - 01-ai/Yi-1.5-34B-Chat-16K
 - 01-ai/Yi-1.5-9B-Chat-16K
@@ -20,9 +22,6 @@
 - meta-llama/Meta-Llama-3.1-405B-Instruct
 - meta-llama/Meta-Llama-3.1-70B-Instruct
 - meta-llama/Meta-Llama-3.1-8B-Instruct
- meta-llama/Meta-Llama-3-70B-Instruct
- meta-llama/Meta-Llama-3-8B-Instruct
 - google/gemma-2-27b-it
 - google/gemma-2-9b-it
- mistralai/Mistral-7B-Instruct-v0.2
- mistralai/Mixtral-8x7B-Instruct-v0.1
+- deepseek-ai/DeepSeek-V2-Chat
--- a/api/core/model_runtime/model_providers/siliconflow/llm/deepdeek-coder-v2-instruct.yaml
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/deepdeek-coder-v2-instruct.yaml
@@ -37,3 +37,4 @@ pricing:
  output: '1.33'
  unit: '0.000001'
  currency: RMB
+deprecated: true
--- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2-chat.yaml
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2-chat.yaml
@@ -37,3 +37,4 @@ pricing:
  output: '1.33'
  unit: '0.000001'
  currency: RMB
+deprecated: true
--- a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2.5.yaml
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2.5.yaml
@@ -4,6 +4,8 @@ label:
 model_type: llm
 features:
  - agent-thought
+  - tool-call
+  - stream-tool-call
 model_properties:
  mode: chat
  context_size: 32768
@@ -32,6 +34,18 @@ parameter_rules:
    required: false
  - name: frequency_penalty
    use_template: frequency_penalty
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
 pricing:
  input: '1.33'
  output: '1.33'
--- a/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-27b-it.yaml
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-27b-it.yaml
@@ -32,6 +32,18 @@ parameter_rules:
    required: false
  - name: frequency_penalty
    use_template: frequency_penalty
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
 pricing:
  input: '1.26'
  output: '1.26'
--- a/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-9b-it.yaml
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/gemma-2-9b-it.yaml
@@ -32,6 +32,18 @@ parameter_rules:
    required: false
  - name: frequency_penalty
    use_template: frequency_penalty
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
 pricing:
  input: '0'
  output: '0'
--- a/api/core/model_runtime/model_providers/siliconflow/llm/glm4-9b-chat.yaml
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/glm4-9b-chat.yaml
@@ -32,6 +32,18 @@ parameter_rules:
    required: false
  - name: frequency_penalty
    use_template: frequency_penalty
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
 pricing:
  input: '0'
  output: '0'
--- a/api/core/model_runtime/model_providers/siliconflow/llm/hunyuan-a52b-instruct.yaml
+++ b/api/core/model_runtime/model_providers/siliconflow/llm/hunyuan-a52b-instruct.yaml
@@ -0,0 +1,84 @@
+model: Tencent/Hunyuan-A52B-Instruct
+label:
+  en_US: Tencent/Hunyuan-A52B-Instruct
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32768
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    type: float
+    default: 0.3
+    min: 0.0
+    max: 2.0
+    help:
+      zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。
+      en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain.
+  - name: max_tokens
+    use_template: max_tokens
+    type: int
+    default: 2000
+    min: 1
+    max: 2000
+    help:
+      zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。
+      en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time.
+  - name: top_p
+    use_template: top_p
+    type: float
+    default: 0.8
+    min: 0.1
+    max: 0.9
+    help:
+      zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。
+      en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated.
+  - name: top_k
+    type: int
+    min: 0
+    max: 99
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    help:
+      zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。
+      en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated.
+  - name: seed
+    required: false
+    type: int
+    default: 1234
+    label:
+      zh_Hans: 随机种子
+      en_US: Random seed
+    help:
+      zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。
+      en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time.
+  - name: repetition_penalty
+    required: false
+    type: float
+    default: 1.1
+    label:
+      zh_Hans: 重复惩罚
+      en_US: Repetition penalty
+    help:
+      zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
+      en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '21'
+  output: '21'
+  unit: '0.000001'
+  currency: RMB
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
JzoNg	6298a60039	fix: file upload in step run	2024-11-22 17:39:41 +08:00
-LAN-	e7a160330d	refactor(app_generator): Use variables and tenant_id instead of app_config in `_prepare_user_inputs`	2024-11-21 20:15:15 +08:00
-LAN-	2e2fbf7a33	refactor(workflow_entry): Do some format	2024-11-21 20:14:22 +08:00
-LAN-	942670789b	refactor(node_entities): use Mapping for NodeRunResult.outputs	2024-11-21 20:13:41 +08:00
-LAN-	a50a6cba82	fix(workflow_service): set default value in convert_to_workflow	2024-11-21 20:12:56 +08:00
-LAN-	8e0e7bc2b9	fix(workflow_entry): Support receive File and FileList in single step run.	2024-11-21 19:12:22 +08:00
LastHopeOfGPNU	1a6b961b5f	Resolve 8475 support rerank model from infinity (#10939 ) Co-authored-by: linyanxu <linyanxu2@qq.com>	2024-11-21 18:03:49 +08:00
cooper.wu	01014a6a84	fix: external dataset missing score_threshold_enabled (#10943 )	2024-11-21 18:01:47 +08:00
AkisAya	cb0c55daa7	fix weight rerank of knowledge retrieval (#10931 )	2024-11-21 17:53:20 +08:00
-LAN-	82575a7aea	fix(gpt-4o-audio-preview): Remove the vision feature (#10932 )	2024-11-21 16:42:48 +08:00
yihong	80da0c5830	fix: default max_chunks set to 1 as other providers (#10937 ) Signed-off-by: yihong0618 <zouzou0208@gmail.com>	2024-11-21 16:36:05 +08:00
Pedro Gomes	83b6abf4ad	Update parse.py to handle empty list result (#10915 ) Co-authored-by: crazywoola <427733928@qq.com>	2024-11-21 14:14:07 +08:00
Hash Brown	ea0ebc020c	fix: chat history might be empty in log detail view (#10905 )	2024-11-21 14:12:01 +08:00
Kota-Yamaguchi	f358db9f02	feat : Add Japanese translations for API documentation: chat, advanced-chat, completion, and workflow (#10927 )	2024-11-21 14:02:46 +08:00
wy96f	94c9cadbd8	fix image files not deleted on indexing_estimate #9541 (#10798 ) Co-authored-by: root <root@localhost.localdomain>	2024-11-21 13:03:16 +08:00
Steven sun	2ae6460f46	Add googlenews tools from rapidapi (#10877 ) Co-authored-by: steven <sunzwj@digitalchina.com>	2024-11-21 10:39:49 +08:00
yihong	0067b16d1e	fix: refactor all 'or []' and 'or {}' logic to make code more clear (#10883 ) Signed-off-by: yihong0618 <zouzou0208@gmail.com>	2024-11-21 10:34:43 +08:00
yihong	ec9f6220c9	doc: fix better doc for api develop, droping dead hint (#10906 ) Signed-off-by: yihong0618 <zouzou0208@gmail.com>	2024-11-21 10:34:23 +08:00
鬼頭拓海	af53e2b6b0	Fix : Add a process to fetch the mime type from the file name for signed url in remote_url #10872 version2 (#10908 )	2024-11-20 22:57:49 +08:00
shisaru292	b42b333a72	fix: handle redis authentication for healthcheck command (#10907 )	2024-11-20 20:10:51 +08:00
方程	99b0369f1b	Gitee AI embedding tool (#10903 )	2024-11-20 17:40:34 +08:00
llinvokerl	d6ea1e2f12	fix: explicitly use new token when retrying ssePost after refresh (#10864 ) Co-authored-by: liusurong.lsr <liusurong.lsr@alibaba-inc.com>	2024-11-20 16:11:33 +08:00
-LAN-	4d6b45427c	Support streaming output for OpenAI o1-preview and o1-mini (#10890 )	2024-11-20 15:10:41 +08:00
-LAN-	1be8365684	Fix/input-value-type-in-moderation (#10893 )	2024-11-20 15:10:12 +08:00
ybalbert001	c3d11c8ff6	fix: aws presign url is not workable remote url (#10884 ) Co-authored-by: Yuanbo Li <ybalbert@amazon.com>	2024-11-20 14:24:41 +08:00
liuhaoran	8ff65abbc6	ext_redis.py support redis clusters --- Fixes #9538 (#9789 ) Signed-off-by: root <root@localhost.localdomain> Co-authored-by: root <root@localhost.localdomain> Co-authored-by: Bowen Liang <bowenliang@apache.org>	2024-11-20 13:44:35 +08:00
非法操作	bf4b6e5f80	feat: support custom tool upload file (#10796 )	2024-11-20 13:26:42 +08:00
-LAN-	25fda7adc5	fix(http_request): allow content type `application/x-javascript` (#10862 )	2024-11-20 12:55:06 +08:00
非法操作	f3af7b5f35	fix: tool's file input display string (#10887 )	2024-11-20 12:54:24 +08:00
Muntaser Abuzaid	33cfc56ad0	fix: update email validation regex to allow periods in local part (#10868 )	2024-11-20 12:33:02 +08:00
鬼頭拓海	464cc26ccf	Fix : Add a process to fetch the mime type from the file name for signed url in remote_url (#10872 )	2024-11-20 12:30:25 +08:00
Jason Tan	d18754afdd	feat: admin can also change member role (#10651 )	2024-11-20 11:29:49 +08:00
非法操作	beb7953d38	feat: enhance the custom note (#8885 )	2024-11-20 11:24:45 +08:00
GeorgeCaoJ	fbfc811a44	feat: support function call for ollama block chat api (#10784 )	2024-11-20 11:15:19 +08:00
非法操作	7e66e5a713	feat: make toc panel can collapse (#10875 )	2024-11-20 10:07:30 +08:00
kurokobo	07b5bbae06	feat: add a minimal separator between pinned apps and unpinned apps in the explore page (#10871 )	2024-11-20 09:32:59 +08:00
Ding Jiatong	3087913b74	Fix the situation where output_tokens/input_tokens may be None in response.usage (#10728 )	2024-11-19 21:19:13 +08:00
非法操作	904ea05bf6	fix: download some remote files raise error (#10781 )	2024-11-19 21:18:53 +08:00
Rhys	6f4885d86d	Encode invitee email in the invitation link (#10842 )	2024-11-19 21:08:37 +08:00
Joe	2dc29cfee3	Feat/add langsmith dotted order (#10856 )	2024-11-19 21:08:23 +08:00
Jyong	bd05df5cc5	fix tongyi embedding endpoint return None output (#10857 )	2024-11-19 21:04:17 +08:00
Jyong	ee1f14621a	fix httpx doesn't support stream parameter (#10859 )	2024-11-19 21:03:01 +08:00
yihong	58a9d9eb9a	fix: better WeightRerankRunner run logic use O(1) and delete unused code (#10849 ) Signed-off-by: yihong0618 <zouzou0208@gmail.com>	2024-11-19 20:12:13 +08:00
非法操作	bc1013dacf	feat: support json schema for gemini models (#10835 )	2024-11-19 17:49:58 +08:00
Tao Wang	9f195df103	Support Video Proxy and TED Embedding (#10819 )	2024-11-19 17:49:14 +08:00
AkaraChen	1cc7dc6360	style: refactor fetch and context (#10795 )	2024-11-19 17:16:06 +08:00
KVOJJJin	328965ed7c	Fix: crash of workflow file upload (#10831 ) Co-authored-by: -LAN- <laipz8200@outlook.com> Co-authored-by: StyleZhang <jasonapring2015@outlook.com>	2024-11-19 14:15:18 +08:00
zxhlyh	133de9a087	fix: upload file component support multiple (#10817 )	2024-11-19 14:00:54 +08:00
kimjion	7261384655	fix: close child modal on log drawer close (#10839 )	2024-11-19 12:09:55 +08:00
dajianguo	4718071cbb	feat: Knowledge-base-api-get-post-method-text-error-#10836 (#10837 )	2024-11-19 12:08:10 +08:00
非法操作	22be0816aa	feat: add TOC to app develop doc (#10799 )	2024-11-19 09:06:12 +08:00
孙茂胤 (Sun, Maoyin)	49e88322de	doc: add clarification for length limit of init password (#10824 )	2024-11-19 09:05:05 +08:00
Zane	14f3d44c37	refactor: improve handling of leading punctuation removal (#10761 )	2024-11-18 21:32:33 +08:00
孙茂胤 (Sun, Maoyin)	0ba17ec116	fix: correct typo in ETL type comment in .env.example (#10822 )	2024-11-18 20:58:43 +08:00
Benjamin	79d59c004b	chore: update .gitignore to include mise.toml (#10778 )	2024-11-18 19:35:12 +08:00
8bitpd	873e9720e9	feat: AnalyticDB vector store supports invocation via SQL. (#10802 ) Co-authored-by: 璟义 <yangshangpo.ysp@alibaba-inc.com>	2024-11-18 19:29:54 +08:00
zxhlyh	de6d3e493c	fix: script rendering in message (#10807 ) Co-authored-by: crazywoola <427733928@qq.com>	2024-11-18 19:19:10 +08:00
-LAN-	7f1fdb774c	chore: bump version to 0.11.2 (#10805 )	2024-11-18 17:52:53 +08:00
Jyong	128efc3193	Feat/clean message records (#10588 )	2024-11-18 16:57:39 +08:00
Garfield Dai	c49efc0c22	Feat/account not found (#10804 )	2024-11-18 16:14:39 +08:00
KVOJJJin	3e2b8a8d02	Fix: legacy image upload compatible (#10803 )	2024-11-18 15:57:48 +08:00
zxhlyh	9861279395	fix: upload custom file extension (#10801 )	2024-11-18 15:57:32 +08:00
dajianguo	538a5df9d5	feat: Optimize usability during debugging #10641 (#10793 )	2024-11-18 11:13:52 +08:00
Tao Wang	90d6ebc879	Add youtube-transcript-api as tool (#10772 ) Co-authored-by: crazywoola <427733928@qq.com>	2024-11-18 10:58:16 +08:00
Kalo Chin	6de1f8c770	Feat(tools) add tavily extract tool and enhance tavily search implementation (#10786 )	2024-11-18 09:51:34 +08:00
壮士	6d532bfc02	fix:Resolve the issue of Docker startup documents being queued all th… (#10791 )	2024-11-18 09:49:33 +08:00
非法操作	ba537d657f	feat: add gemini-exp-1114 (#10779 )	2024-11-18 09:49:22 +08:00
Kalo Chin	305fbc7c92	fix: fal ai wizper also return text msg (#10789 )	2024-11-18 09:45:59 +08:00
Tao Wang	29341d60aa	Add DuckDuckGo Video Search and News Search (#10771 )	2024-11-17 13:59:48 +08:00
呆萌闷油瓶	c170862de7	fix:custom file extension not support (#10759 ) Co-authored-by: crazywoola <100913391+crazywoola@users.noreply.github.com>	2024-11-16 22:37:25 +08:00
Jason Tan	ca6efd73f3	fix: date filter key not unique (#10645 )	2024-11-16 14:43:55 +08:00
github-actions[bot]	d05fee1182	chore: translate i18n files (#10754 ) Co-authored-by: douxc <7553076+douxc@users.noreply.github.com> Co-authored-by: crazywoola <100913391+crazywoola@users.noreply.github.com> Co-authored-by: crazywoola <427733928@qq.com>	2024-11-15 19:31:15 +08:00
NFish	1f87676d52	Supports display license status (#10408 ) Co-authored-by: Garfield Dai <dai.hai@foxmail.com>	2024-11-15 17:59:48 +08:00
Garfield Dai	c2ce2f88c7	feat: add license. (#10403 )	2024-11-15 17:59:36 +08:00
crazywoola	2fed55ae6b	Fix: number maybe empty string (#10743 )	2024-11-15 16:31:10 +08:00
Bowen Liang	51db59622c	chore(lint): cleanup repeated cause exception in logging.exception replaced by helpful message (#10425 )	2024-11-15 15:41:40 +08:00
crazywoola	db1d2aaff5	Feat/add Slovensko (Slovenija) (#10731 ) Co-authored-by: XHorizont.com <johnny@xhorizont.com>	2024-11-15 13:59:08 +08:00
Steven Lynn	4322fdc910	Feat/add reddit icon (#10733 )	2024-11-15 13:55:46 +08:00
非法操作	2a5c5a4e15	fix: remove default model selection for audio tool (#10729 )	2024-11-15 12:40:41 +08:00
非法操作	4b2abf8ac2	fix: create_blob_message of tool will always create image type file (#10701 )	2024-11-15 10:38:12 +08:00
Bowen Liang	365cb4b368	chore(lint): bump ruff from 0.6.9 to 0.7.3 (#10714 )	2024-11-15 09:19:41 +08:00
GeorgeCaoJ	c85bff235d	fix(i18n): handle key naming error (#10713 )	2024-11-15 09:01:38 +08:00
Kalo Chin	ad16180b1a	feat(tool): fal ai wizper ASR built-in tool (#10716 )	2024-11-15 09:01:07 +08:00
jarvis2f	5ff02b469f	fix:position error when creating segments (#10706 )	2024-11-14 21:25:15 +08:00
Bowen Liang	44f57ad9a8	chore: Bump Alpine Linux to 3.20 in web dockerfile (#10671 )	2024-11-14 20:57:01 +08:00
yihong	94fd6f6901	fix: typo in test (#10707 ) Signed-off-by: yihong0618 <zouzou0208@gmail.com>	2024-11-14 20:54:13 +08:00
SiliconFlow, Inc	e61242a337	feat: add vlm models from siliconflow (#10704 )	2024-11-14 20:53:35 +08:00
yihong	722964667f	fix: non utf8 code decode close #10691 (#10698 ) Signed-off-by: yihong0618 <zouzou0208@gmail.com>	2024-11-14 17:29:49 +08:00
Xiao Ley	fbb9c1c249	fixed the Base URL usage issue in Podcast Generator tool verification (#10697 )	2024-11-14 17:24:42 +08:00
非法操作	15f341b655	feat: add the audio tool (#10695 )	2024-11-14 16:37:15 +08:00
crazywoola	b358490607	chore: update issue template (#10693 )	2024-11-14 16:12:27 +08:00
crazywoola	f9e4196fd5	Update pull_request_template.md (#10692 )	2024-11-14 15:56:37 +08:00
crazywoola	751525802d	feat: update pr template (#10690 )	2024-11-14 15:52:15 +08:00
lz	2abacd2a2d	export configuration 'CODE_EXECUTION_TIMEOUT' to .env (#10688 ) Co-authored-by: liuzhu <liuzhu@fridaycloud.com.cn>	2024-11-14 15:34:34 +08:00
Nam Vu	a3155e0613	Update expat version (#10686 )	2024-11-14 15:30:55 +08:00
Jyong	70b9e4caf5	check dataset is none (#10682 )	2024-11-14 14:07:19 +08:00
orangeclk	317ae9233e	feat: add json response format for siliconflow models (#10657 )	2024-11-14 08:58:22 +08:00
xiandan-erizo	5b8f03cd9d	add abab7-chat-preview model (#10654 ) Co-authored-by: xiandan-erizo <xiandan-erizo@outlook.com>	2024-11-13 19:30:42 +08:00
Kalo Chin	2a4783307a	Feat(tool): fal ai flux image generation (#10606 )	2024-11-13 17:41:58 +08:00
非法操作	bddecba9ed	fix: `mp3` file upload not work (#10650 )	2024-11-13 17:37:29 +08:00
jiangbo721	931e76e3d1	fix: remove unused queue `generation` (#10532 ) Co-authored-by: 刘江波 <jiangbo721@163.com>	2024-11-13 15:52:52 +08:00