Compare commits

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Author SHA1 Message Date
GareArc fc3d3e0565 fix: wrong web sso protocal source in json 2025-04-24 23:48:18 -04:00
GareArc 3761944a3f fix: remove debug logs 2025-04-23 23:09:45 -04:00
GareArc 09f8da1429 fix: allow empty list api 2025-04-22 22:20:29 -04:00
GareArc fcc274d679 fix: add filter in installedapp list api 2025-04-22 02:54:30 -04:00
GareArc bfa5828259 fix: temp fix for unauthorized user in explore page 2025-04-21 19:40:51 -04:00
GareArc 455d14296f fix: get app id from upstream decorator 2025-04-21 19:03:10 -04:00
GareArc d1a25e54e5 fix: add logging 2025-04-21 18:48:24 -04:00
GareArc 9462ed7bbf fix: add auth constraint to explore apps 2025-04-21 18:47:24 -04:00
GareArc c6e63ac816 Revert "fix: update webapp auth api path"
This reverts commit a27db51b83.
2025-04-21 02:07:43 -04:00
GareArc a27db51b83 fix: update webapp auth api path 2025-04-21 02:06:07 -04:00
GareArc e52a9fbfb7 fix: remove curr user in webapp permission api 2025-04-20 23:33:51 -04:00
GareArc 2af1dd6de3 feat: add webapp auth apis 2025-04-20 23:30:59 -04:00
NFishandGitHub 509733fbf0 fix: update reset password token when email code verify success (#18367) 2025-04-18 17:15:02 +08:00
GareArc 7770a45253 fix: add password security update 2025-04-18 05:02:26 -04:00
GareArc bafdbade52 fix: wrong json structure 2025-04-11 17:19:34 -04:00
GareArc fa76590c24 chore: add log 2025-04-11 16:59:52 -04:00
GareArc d5b75470e4 fix: bad request 2025-04-11 16:48:09 -04:00
GareArc 5f87bdbe3a fix: add batch get access mode api 2025-04-11 15:24:32 -04:00
GareArc cb13b53ccd fix: update webapp sso features 2025-04-11 03:25:58 -04:00
GareArc a1dc3cfdec fix: update code for access denied error 2025-04-11 02:45:46 -04:00
GareArc 7a4ec9cf23 fix: change error code for webapp auth 2025-04-11 02:41:02 -04:00
GareArc 4785c061a9 feat: add webapp clean up 2025-04-10 15:19:28 -04:00
GareArc 4105c8ff70 fix: bad api call 2025-04-10 06:27:00 -04:00
GareArc b922c8c215 fix: make app private when created 2025-04-10 00:36:35 -04:00
GareArc cbea30e65f fix: bad field name 2025-04-09 17:21:16 -04:00
GareArc e9a207b38e fix: adjust enterprise api 2025-04-09 16:30:41 -04:00
GareArc 5e50570739 fix: update webapp jwt claim and add user accessibility support 2025-04-07 18:41:02 -04:00
GareArc 46d43e6758 feat: add web app auth 2025-04-07 17:03:26 -04:00
GareArc 1045f6db7a fix: wrong arg parsing 2025-03-26 01:37:45 -04:00
GareArc 50d36612f0 fix: bad import 2025-03-26 00:34:04 -04:00
GareArc e38631db8a feat: add inner mail api 2025-03-25 21:47:30 -04:00
Garfield Dai 7f63cd52a2 update. 2025-03-24 23:08:54 +08:00
NFish 5b357fdbf0 Merge branch 'release/0.15.5' into e-0154 2025-03-24 16:42:11 +08:00
NFish 9283a5414f fix: update yarn.lock 2025-03-24 16:41:07 +08:00
NFish 8923e64b8d Merge branch 'release/0.15.5' into e-0154 2025-03-24 15:40:32 +08:00
-LAN- 2a2a0e9be9 fix: update DifySandbox image version to 0.2.11 in docker-compose files
Sgned-off-by: -LAN- <laipz8200@outlook.com>
2025-03-24 15:37:55 +08:00
JoelandGitHub 061a765b7d fix: sanitizer svg to avoid xss (#16608) 2025-03-24 14:48:40 +08:00
-LAN- acd7fead87 feat: remove Vanna provider and associated assets from the project
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-03-24 14:34:03 +08:00
KVOJJJinandNFish 64e9d96d84 chore: compatible with es5 (#14268) 2025-03-24 13:17:48 +08:00
NFish d27de3818c Merge branch 'release/0.15.5' into e-0154 2025-03-24 11:46:30 +08:00
NFish bbb080d5b2 fix: update chatbot help doc link on the create app form 2025-03-24 11:28:35 +08:00
NFish 8c025abb3b Merge branch 'release/0.15.5' into e-0154 2025-03-24 10:32:56 +08:00
NFish c01d8a70f3 fix: upgrade nextjs to v14.2.25. a security patch for CVE-2025-29927. 2025-03-24 10:32:18 +08:00
NFish 98606ca558 fix: upgrade nextjs to v14.2.25 2025-03-24 10:12:21 +08:00
Garfield Dai adf3e18ebd Merge tag '0.15.4' into e-0154 2025-03-21 18:29:43 +08:00
-LAN- 1ca15989e0 chore: update version to 0.15.4 in configuration and docker files
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-03-21 16:39:06 +08:00
-LAN- 8b5a3a9424 Merge branch 'release/0.15.4' of github.com:langgenius/dify into release/0.15.4 2025-03-21 16:31:06 +08:00
-LAN- 42ddcf1edd chore: remove 0.15.3 branch config in the build action
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-03-21 16:30:33 +08:00
JoelandGitHub 21561df10f fix: xss in render svg (#16437) 2025-03-21 15:24:58 +08:00
Byron.wangandGitHub 4327ec8c4c fix license expireAt field typo (#16428) 2025-03-21 13:43:43 +08:00
NFish bbc5ec8301 fix: expired date calc error 2025-03-21 11:00:07 +08:00
NFish 4a51a72c1d Merge branch 'e-0154' into deploy/enterprise 2025-03-20 17:34:52 +08:00
NFish 4b6adffa8e fix: hide copyright on forgot-password/install/reset-password page 2025-03-20 17:34:19 +08:00
NFish c7fd73d330 Merge branch 'e-0154' into deploy/enterprise 2025-03-20 10:13:09 +08:00
NFish 8a709e445a fix: remove Dify from Service API doc 2025-03-20 10:12:27 +08:00
NFish f02b77b99f fix: Decouple login page logo component to avoid conflict with internal logo 2025-03-20 10:11:26 +08:00
GareArc abc625bcce Merge branch 'e-0154' into deploy/enterprise 2025-03-18 22:35:39 -04:00
GareArc b6bc1f8bc4 fix: adjust logic for branding toggle 2025-03-18 22:35:27 -04:00
NFish b8f9037cd3 Merge branch 'e-0154' into deploy/enterprise 2025-03-18 16:13:14 +08:00
NFish 02606ba3c7 fix: cannot update webapp copyright info 2025-03-18 16:12:52 +08:00
GareArc 79311d3fb5 Merge branch 'e-0154' into deploy/enterprise 2025-03-18 03:53:18 -04:00
GareArc 31086a1fbf feat: add webapp copyright feature 2025-03-18 03:53:07 -04:00
NFish 6ae5d052e5 Merge branch 'e-0154' into deploy/enterprise 2025-03-18 14:55:36 +08:00
NFish c794ecf101 fix: user can edit webapp copyright info only if webapp_copyright_enabled is true 2025-03-18 14:54:34 +08:00
GareArc d887aae012 Merge branch 'e-0154' into deploy/enterprise 2025-03-18 01:55:38 -04:00
GareArc 1b1e96eff7 fix: typo 2025-03-18 01:55:27 -04:00
GareArc eecd091063 Merge branch 'e-0154' into deploy/enterprise 2025-03-17 15:34:49 -04:00
GareArc d38f2cb380 fix: change subject title 2025-03-17 15:34:28 -04:00
GareArc 56aaee5558 fix: wrong branding title 2025-03-17 15:01:31 -04:00
GareArc d72b4752c9 fix: wrong title location 2025-03-17 15:00:04 -04:00
GareArc ea769c6483 Merge branch 'e-0154' into deploy/enterprise 2025-03-17 14:24:00 -04:00
GareArc ec194fa3d4 fix: invalid email template variables 2025-03-17 14:23:46 -04:00
NFish b877039859 Merge branch 'e-0154' into deploy/enterprise 2025-03-17 10:37:20 +08:00
NFish 54634f26d2 fix: show copyright in webapp 2025-03-17 10:36:51 +08:00
NFish 3bef91a2cd fix: show loading icon when fetching system features 2025-03-15 12:01:30 +08:00
NFish 7da45ba589 fix: show loading icon when fetching system features 2025-03-15 12:00:22 +08:00
NFish e0232c67cc fix: update document title and favicon in client side 2025-03-15 12:00:22 +08:00
GareArc 1dc4a229d4 Merge branch 'e-0154' into deploy/enterprise 2025-03-14 16:37:02 -04:00
GareArc 0e0bada1f3 fix: missing json keys 2025-03-14 16:36:49 -04:00
GareArc 5366a814f9 fix: update json keys 2025-03-14 16:35:05 -04:00
GareArc f1240a22db fix: remove default value 2025-03-14 13:26:44 -04:00
NFish 66f35c2b7e Merge branch 'e-0154' into deploy/enterprise 2025-03-15 01:25:15 +08:00
NFish 766ee48531 fix: update document title and favicon in client side 2025-03-15 01:25:04 +08:00
NFish 083045f45c Merge branch 'e-0154' into deploy/enterprise 2025-03-14 20:49:17 +08:00
NFish fe237802c9 fix: update Dify text 2025-03-14 19:10:03 +08:00
NFish 00b923651f fix: update document title with system features config 2025-03-14 19:10:03 +08:00
NFish 24fce3cc64 chore: use global zustand manage systemFeatures and share between all pages 2025-03-14 19:10:03 +08:00
GareArc 8ba969f67d fix: add ci workflow 2025-03-13 17:15:11 -04:00
GareArc 6844d59371 fix: add default title name 2025-03-13 17:07:45 -04:00
GareArc fe5529db85 Trigger workflow 2025-03-13 17:04:13 -04:00
GareArc d89034d913 feat: add application title 2025-03-13 15:49:04 -04:00
NFish 360fbeb108 fix: update email template, add application_title 2025-03-13 17:28:49 +08:00
GareArc e7c2fa1cfa fix: remove system feature is_branding 2025-03-12 10:48:58 -04:00
Hash BrownandNFish 735f09d977 fix: build failed due to getPrevChatList no longer exists (#13383) 2025-03-12 10:22:33 +08:00
GareArc f83a5e3e49 fix: wrong type 2025-03-11 07:46:48 -04:00
NFish 01a8d4efcc fix: remove dify from invite template 2025-03-11 19:25:30 +08:00
GareArc fdb1e649d4 feat: add branding support 2025-03-11 07:14:52 -04:00
NFish 0856792a57 fix: add email templates that are no brands or logo 2025-03-11 16:03:15 +08:00
crazywoola 0e33a3aa5f chore: add ci 2025-02-19 14:34:36 +08:00
Hash Brownandcrazywoola d3895bcd6b revert 2025-02-19 14:32:28 +08:00
Hash Brownandcrazywoola eeb390650b fix: build failed 2025-02-19 14:32:28 +08:00
-LAN-andGitHub ca19bd31d4 chore(*): Bump version to 0.15.3 (#13308)
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-02-07 15:20:05 +08:00
-LAN-andGitHub 413dfd5628 feat: add completion mode and context size options for LLM configuration (#13325)
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-02-07 15:08:53 +08:00
-LAN-andGitHub f9515901cc fix: Azure AI Foundry model cannot be used in the workflow (#13323)
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-02-07 14:52:57 +08:00
呆萌闷油瓶andGitHub 3f42fabff8 chore:improve thinking display for llm from xinference and ollama pro… (#13318) 2025-02-07 14:29:29 +08:00
-LAN-andGitHub 1caa578771 chore(*): Update style of thinking (#13319)
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-02-07 14:06:35 +08:00
b7c11c1818 Fix the problem of Workflow terminates after parallel tasks execution, merge node not triggered (#12498)
Co-authored-by: Novice Lee <novicelee@NoviPro.local>
2025-02-07 13:56:08 +08:00
非法操作andGitHub 3eb3db0663 chore: refactor the OpenAICompatible and improve thinking display (#13299) 2025-02-07 13:28:46 +08:00
-LAN-andGitHub be46f32056 fix(credits): require model name equals (#13314)
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-02-07 13:28:17 +08:00
sinoandGitHub 6e5c915f96 feat(model): add deepseek-r1 for openrouter (#13312) 2025-02-07 12:39:13 +08:00
-LAN-andGitHub 04d13a8116 feat(credits): Allow to configure model-credit mapping (#13274)
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-02-07 11:01:31 +08:00
KemalandGitHub e638ede3f2 Update README_TR.md (#13294) 2025-02-07 09:11:39 +08:00
Riddhimaan-SenapatiandGitHub 2348abe4bf feat: added a couple of models not defined in vertex ai, that were already … (#13296) 2025-02-07 09:11:25 +08:00
呆萌闷油瓶andGitHub f7e7a399d9 feat:add think tag display for xinference deepseek r1 (#13291) 2025-02-06 22:04:58 +08:00
le0zhandGitHub ba91f34636 fix: incorrect transferMethod assignment for remote file (#13286) 2025-02-06 19:32:21 +08:00
16865d43a8 feat: add deepseek models for volcengine provider (#13283)
Co-authored-by: zhaoqingyu.1075 <zhaoqingyu.1075@bytedance.com>
2025-02-06 18:20:03 +08:00
呆萌闷油瓶andGitHub 0d13aee15c feat:add deepseek r1 think display for ollama provider (#13272) 2025-02-06 15:32:10 +08:00
Wu TianweiandGitHub 49b4144ffd fix: add dataset edit permissions (#13223) 2025-02-06 14:26:16 +08:00
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
186e2d972e chore(deps): bump katex from 0.16.10 to 0.16.21 in /web (#13270)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2025-02-06 13:27:07 +08:00
40dd63ecef Upgrade oracle models (#13174)
Co-authored-by: engchina <atjapan2015@gmail.com>
2025-02-06 13:24:27 +08:00
-LAN-andGitHub 6d66d6da15 feat(model_providers): Support deepseek-r1 for Nvidia Catalog (#13269)
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-02-06 13:03:19 +08:00
03ec3513f3 Fix bug large data no render (#12683)
Co-authored-by: ex_wenyan.wei <ex_wenyan.wei@tcl.com>
2025-02-06 13:00:04 +08:00
-LAN-andGitHub 87763fc234 feat(model_providers): Support deepseek for Azure AI Foundry (#13267)
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-02-06 12:45:48 +08:00
JasonVVandGitHub f6c44cae2e feat(model): add gemini-2.0 model (#13266) 2025-02-06 12:28:59 +08:00
xheandGitHub da2ee04fce fix: correct linewrap think display in generic openai api (#13260)
Signed-off-by: xhe <xw897002528@gmail.com>
2025-02-06 10:53:08 +08:00
JasonVVandGitHub 7673c36af3 feat(model): add gemini-2.0-flash-thinking-exp-01-21 (#13230) 2025-02-06 10:01:00 +08:00
Riddhimaan-SenapatiandGitHub 9457b2af2f feat: added models :gemini 2.0 flash 001 and gemini 2.0 pro exp 02-05 (#13247) 2025-02-06 09:58:39 +08:00
k-zakuandGitHub 7203991032 feat: add parameter "reasoning_effort" and Openai o3-mini (#13243) 2025-02-06 09:29:48 +08:00
xheandGitHub 5a685f7156 feat: add think display for volcengine and generic openapi (#13234)
Signed-off-by: xhe <xw897002528@gmail.com>
2025-02-06 09:24:40 +08:00
Riddhimaan-SenapatiandGitHub a6a25030ad fix: updated _position.yaml to include the latest model already integ… (#13245) 2025-02-06 09:21:51 +08:00
Riddhimaan-SenapatiandGitHub 00458a31d5 feat: added deepseek r1 and v3 to siliconflow (#13238) 2025-02-05 21:59:18 +08:00
-LAN-andGitHub c6ddf6d6cc feat(model_providers): Add Groq DeepSeek-R1-Distill-Llama-70b (#13229)
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-02-05 19:15:29 +08:00
34b21b3065 feat: Add o3-mini and o3-mini-2025-01-31 model variants (#13129)
Co-authored-by: crazywoola <427733928@qq.com>
2025-02-05 17:04:45 +08:00
Bowen LiangandGitHub 8fbb355cd2 chore: squash system dependencies installation steps (#13206) 2025-02-05 16:42:53 +08:00
HQideaandGitHub e8b3b7e578 Fix new variables in the conversation opener would override prompt_variables (#13191) 2025-02-05 16:16:00 +08:00
-LAN-andGitHub 59ca44f493 chore(model_runtime): Move deepseek ahead in the providers list. (#13197)
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-02-05 16:08:28 +08:00
Bowen LiangandGitHub 9e1457c2c3 fix: mypy checks violation in AzureBlobStorage (#13215) 2025-02-05 15:56:23 +08:00
te-chanandGitHub fac83e14bc Use DefaultAzureCredential for managed identity in azure blob extention (#11559) 2025-02-05 13:43:43 +08:00
Nam VuandGitHub a97cec57e4 fix: SSRF proxy file descriptor leak in concurrent requests (#13108) 2025-02-05 13:10:27 +08:00
Riddhimaan-SenapatiandGitHub 38c10b47d3 Feat: add linkedin to readme (#13203) 2025-02-05 12:27:58 +08:00
MaFee921andGitHub 1a2523fd15 feat: bedrock_endpoint_url (#12838) 2025-02-05 12:24:24 +08:00
Warren ChenandGitHub 03243cb422 Modify params for bedrock retrieve generate (#13182) 2025-02-05 12:17:42 +08:00
Bowen LiangandGitHub 2ad7ee0344 chore: add tests for build docker image when dockerfile changed (#10732) 2025-02-05 11:40:22 +08:00
55ce3618ce fix: Dollar Sign Handling in Markdown (#13178)
Co-authored-by: crazywoola <427733928@qq.com>
2025-02-05 11:00:56 +08:00
TechnoHouseandGitHub e9e34c1ab2 Install apt dependencies using bookworm source, consistent with base image. Remove unnecessary, error-prone pins (#13176) 2025-02-05 10:07:22 +08:00
-LAN-andGitHub d4c916b496 chore(pyproject): Add type stubs into pyproject.toml (#13145)
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-02-04 12:01:28 +08:00
Obada KhaliliandGitHub 8fbc9c9342 Solve circular dependency issue between workflow/constants.ts file and default.ts file (#13165) 2025-02-04 09:26:01 +08:00
aplioandGitHub 1b6fd9dfe8 fix: set indexing technique from dataset during update-by-text (#13155) 2025-02-03 11:06:03 +08:00
非法操作andGitHub 304467e3f5 fix: not install libmagic raise error (#13146) 2025-02-03 11:05:20 +08:00
Kei YAMAZAKIandGitHub 7452032d81 add azure openai api version 2024-12-01-preview (#13135) 2025-02-03 11:04:20 +08:00
aplioandGitHub 87e2048f1b nitpick: fix small typos in template.en.mdx (#13156) 2025-02-03 11:03:11 +08:00
Nam VuandGitHub d876084392 chore: upgrade libldap2 (#13158) 2025-02-03 11:02:14 +08:00
非法操作andGitHub 840729afa5 feat: the think tag display of siliconflow's deepseek r1 (#13153) 2025-02-02 21:55:13 +08:00
Obada KhaliliandGitHub 941ad03f3c pass model and cost so that langfuse can show cost (#13117) 2025-02-02 15:27:27 +08:00
aplioandGitHub d73d191f99 feature. add feat to modify metadata via dataset api (#13116) 2025-02-02 15:27:12 +08:00
Masashi TomookaandGitHub c2664e0283 chore: fix wrong VectorType match case (#13123) 2025-02-02 15:26:59 +08:00
-LAN-andGitHub ee61cede4e test(huggingface_hub): Skip the failed test temporarily. (#13142)
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-02-02 14:47:26 +08:00
-LAN-andGitHub b47669b80b fix: deduct LLM quota after processing invoke result (#13075)
Signed-off-by: -LAN- <laipz8200@outlook.com>
2025-02-02 12:05:11 +08:00
c0d0c63592 feat: switch to chat messages before regenerated (#11301)
Co-authored-by: zuodongxu <192560071+zuodongxu@users.noreply.github.com>
2025-01-31 13:05:10 +08:00
Yingchun LaiandGitHub b09c39c8dc refactor: avoid to use extra space when finding model by name (#13043) 2025-01-30 15:08:29 +08:00
heysztandGitHub b4b09ddc3c add tongyi qwen2.5-14b/7b-instruct-1m model (#13089) 2025-01-29 11:58:01 +08:00
Ademílson TonatoandGitHub d0a21086bd refactor: Update Firecrawl API parameters and default settings (#13082) 2025-01-29 11:21:05 +08:00
Yingchun LaiandGitHub d44882c1b5 refactor: reduce duplciate code by inheritance (#13073) 2025-01-28 10:52:01 +08:00
Yingchun LaiandGitHub 23c68efa2d fix: fix the formatter is not applied on log file (#12704) 2025-01-28 10:49:58 +08:00
JasonandGitHub 560c5de1b7 Fixed Novita AI color and added DeepSeek R1 model (#13074) 2025-01-28 10:38:54 +08:00
5d91dbd000 Set default LOG_LEVEL to INFO for celery workers and beat (#13066)
Co-authored-by: Abdullah AlOsaimi <189027247+osaimi@users.noreply.github.com>
2025-01-27 17:09:41 +08:00
heysztandGitHub 6c31ee36cd fix qwen-vl blocking mode (#13052) 2025-01-27 11:35:23 +08:00
jiandanfengandGitHub edc29780ed fix: "Model schema not found" error only in agents (#12655) (#12760) 2025-01-27 11:33:13 +08:00
yjc980121andGitHub aad7e4dd1c fix:Improve MIME type detection for remote URL uploads using python-magic (#12693) 2025-01-27 11:33:03 +08:00
Xin ZhangandGitHub a6a727e8a4 feat: add inner API to create workspace without requiring email (#13021) 2025-01-26 15:36:56 +08:00
NFishandGitHub d1fc65fabc fix: adjust iteration node dark style (#13051) 2025-01-26 11:19:41 +08:00
310 changed files with 5397 additions and 3061 deletions
+2
View File
@@ -5,6 +5,8 @@ on:
branches:
- "main"
- "deploy/dev"
- "deploy/enterprise"
- "e-0154"
release:
types: [published]
+29
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@@ -0,0 +1,29 @@
name: Deploy Enterprise
permissions:
contents: read
on:
workflow_run:
workflows: ["Build and Push API & Web"]
branches:
- "deploy/enterprise"
types:
- completed
jobs:
deploy:
runs-on: ubuntu-latest
if: |
github.event.workflow_run.conclusion == 'success' &&
github.event.workflow_run.head_branch == 'deploy/enterprise'
steps:
- name: Deploy to server
uses: appleboy/ssh-action@v0.1.8
with:
host: ${{ secrets.ENTERPRISE_SSH_HOST }}
username: ${{ secrets.ENTERPRISE_SSH_USER }}
password: ${{ secrets.ENTERPRISE_SSH_PASSWORD }}
script: |
${{ vars.ENTERPRISE_SSH_SCRIPT || secrets.ENTERPRISE_SSH_SCRIPT }}
+47
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@@ -0,0 +1,47 @@
name: Build docker image
on:
pull_request:
branches:
- "main"
paths:
- api/Dockerfile
- web/Dockerfile
concurrency:
group: docker-build-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
build-docker:
runs-on: ubuntu-latest
strategy:
matrix:
include:
- service_name: "api-amd64"
platform: linux/amd64
context: "api"
- service_name: "api-arm64"
platform: linux/arm64
context: "api"
- service_name: "web-amd64"
platform: linux/amd64
context: "web"
- service_name: "web-arm64"
platform: linux/arm64
context: "web"
steps:
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Build Docker Image
uses: docker/build-push-action@v6
with:
push: false
context: "{{defaultContext}}:${{ matrix.context }}"
platforms: ${{ matrix.platform }}
cache-from: type=gha
cache-to: type=gha,mode=max
+3
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@@ -25,6 +25,9 @@
<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://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></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">
+3
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@@ -21,6 +21,9 @@
<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://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></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">
+3
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@@ -21,6 +21,9 @@
<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://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></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">
+3
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@@ -21,6 +21,9 @@
<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 href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="seguir en LinkedIn"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Descargas de Docker" 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">
+3
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@@ -21,6 +21,9 @@
<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 href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="suivre sur LinkedIn"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Tirages Docker" 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">
+3
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@@ -21,6 +21,9 @@
<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 href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="LinkedInでフォロー"></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">
+3
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@@ -21,6 +21,9 @@
<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://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></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">
+3
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@@ -21,6 +21,9 @@
<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://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></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">
+3
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@@ -25,6 +25,9 @@
<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://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></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">
+3
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@@ -22,6 +22,9 @@
<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://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></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">
+3 -6
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@@ -21,6 +21,9 @@
<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 href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="LinkedIn'da takip et"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Çekmeleri" 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">
@@ -62,8 +65,6 @@ Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edi
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
Özür dilerim, haklısınız. Daha anlamlı ve akıcı bir çeviri yapmaya çalışayım. İşte güncellenmiş çeviri:
**3. Prompt IDE**:
Komut istemlerini oluşturmak, model performansını karşılaştırmak ve sohbet tabanlı uygulamalara metin-konuşma gibi ek özellikler eklemek için kullanıcı dostu bir arayüz.
@@ -150,8 +151,6 @@ Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edi
## Dify'ı Kullanma
- **Cloud </br>**
İşte verdiğiniz metnin Türkçe çevirisi, kod bloğu içinde:
-
Herkesin sıfır kurulumla denemesi için bir [Dify Cloud](https://dify.ai) hizmeti sunuyoruz. Bu hizmet, kendi kendine dağıtılan versiyonun tüm yeteneklerini sağlar ve sandbox planında 200 ücretsiz GPT-4 çağrısı içerir.
- **Dify Topluluk Sürümünü Kendi Sunucunuzda Barındırma</br>**
@@ -177,8 +176,6 @@ GitHub'da Dify'a yıldız verin ve yeni sürümlerden anında haberdar olun.
>- RAM >= 4GB
</br>
İşte verdiğiniz metnin Türkçe çevirisi, kod bloğu içinde:
Dify sunucusunu başlatmanın en kolay yolu, [docker-compose.yml](docker/docker-compose.yaml) dosyamızı çalıştırmaktır. Kurulum komutunu çalıştırmadan önce, makinenizde [Docker](https://docs.docker.com/get-docker/) ve [Docker Compose](https://docs.docker.com/compose/install/)'un kurulu olduğundan emin olun:
```bash
+3
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@@ -21,6 +21,9 @@
<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>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="theo dõi trên LinkedIn"></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">
+12 -11
View File
@@ -48,16 +48,18 @@ ENV TZ=UTC
WORKDIR /app/api
RUN apt-get update \
&& apt-get install -y --no-install-recommends curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
# if you located in China, you can use aliyun mirror to speed up
# && echo "deb http://mirrors.aliyun.com/debian testing main" > /etc/apt/sources.list \
&& 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=2.6.4-1 libldap-2.5-0=2.5.19+dfsg-1 perl=5.40.0-8 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 \
RUN \
apt-get update \
# Install dependencies
&& apt-get install -y --no-install-recommends \
# basic environment
curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
# For Security
expat libldap-2.5-0 perl libsqlite3-0 zlib1g \
# install a chinese font to support the use of tools like matplotlib
fonts-noto-cjk \
# install libmagic to support the use of python-magic guess MIMETYPE
libmagic1 \
&& apt-get autoremove -y \
&& rm -rf /var/lib/apt/lists/*
@@ -76,7 +78,6 @@ COPY . /app/api/
COPY docker/entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh
ARG COMMIT_SHA
ENV COMMIT_SHA=${COMMIT_SHA}
+34 -1
View File
@@ -1,9 +1,40 @@
from typing import Optional
from pydantic import Field, NonNegativeInt
from pydantic import Field, NonNegativeInt, computed_field
from pydantic_settings import BaseSettings
class HostedCreditConfig(BaseSettings):
HOSTED_MODEL_CREDIT_CONFIG: str = Field(
description="Model credit configuration in format 'model:credits,model:credits', e.g., 'gpt-4:20,gpt-4o:10'",
default="",
)
def get_model_credits(self, model_name: str) -> int:
"""
Get credit value for a specific model name.
Returns 1 if model is not found in configuration (default credit).
:param model_name: The name of the model to search for
:return: The credit value for the model
"""
if not self.HOSTED_MODEL_CREDIT_CONFIG:
return 1
try:
credit_map = dict(
item.strip().split(":", 1) for item in self.HOSTED_MODEL_CREDIT_CONFIG.split(",") if ":" in item
)
# Search for matching model pattern
for pattern, credit in credit_map.items():
if pattern.strip() == model_name:
return int(credit)
return 1 # Default quota if no match found
except (ValueError, AttributeError):
return 1 # Return default quota if parsing fails
class HostedOpenAiConfig(BaseSettings):
"""
Configuration for hosted OpenAI service
@@ -202,5 +233,7 @@ class HostedServiceConfig(
HostedZhipuAIConfig,
# moderation
HostedModerationConfig,
# credit config
HostedCreditConfig,
):
pass
+1 -1
View File
@@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
CURRENT_VERSION: str = Field(
description="Dify version",
default="0.15.2",
default="0.15.4",
)
COMMIT_SHA: str = Field(
+27
View File
@@ -1,12 +1,32 @@
import mimetypes
import os
import platform
import re
import urllib.parse
import warnings
from collections.abc import Mapping
from typing import Any
from uuid import uuid4
import httpx
try:
import magic
except ImportError:
if platform.system() == "Windows":
warnings.warn(
"To use python-magic guess MIMETYPE, you need to run `pip install python-magic-bin`", stacklevel=2
)
elif platform.system() == "Darwin":
warnings.warn("To use python-magic guess MIMETYPE, you need to run `brew install libmagic`", stacklevel=2)
elif platform.system() == "Linux":
warnings.warn(
"To use python-magic guess MIMETYPE, you need to run `sudo apt-get install libmagic1`", stacklevel=2
)
else:
warnings.warn("To use python-magic guess MIMETYPE, you need to install `libmagic`", stacklevel=2)
magic = None # type: ignore
from pydantic import BaseModel
from configs import dify_config
@@ -47,6 +67,13 @@ def guess_file_info_from_response(response: httpx.Response):
# If guessing fails, use Content-Type from response headers
mimetype = response.headers.get("Content-Type", "application/octet-stream")
# Use python-magic to guess MIME type if still unknown or generic
if mimetype == "application/octet-stream" and magic is not None:
try:
mimetype = magic.from_buffer(response.content[:1024], mime=True)
except magic.MagicException:
pass
extension = os.path.splitext(filename)[1]
# Ensure filename has an extension
+25 -13
View File
@@ -2,30 +2,28 @@ import uuid
from typing import cast
from flask_login import current_user # type: ignore
from flask_restful import Resource, inputs, marshal, marshal_with, reqparse # type: ignore
from flask_restful import (Resource, inputs, marshal, # type: ignore
marshal_with, reqparse)
from sqlalchemy import select
from sqlalchemy.orm import Session
from werkzeug.exceptions import BadRequest, Forbidden, abort
from controllers.console import api
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 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
from extensions.ext_database import db
from fields.app_fields import (
app_detail_fields,
app_detail_fields_with_site,
app_pagination_fields,
)
from fields.app_fields import (app_detail_fields, app_detail_fields_with_site,
app_pagination_fields)
from libs.login import login_required
from models import Account, App
from services.app_dsl_service import AppDslService, ImportMode
from services.app_service import AppService
from services.enterprise.enterprise_service import EnterpriseService
from services.feature_service import FeatureService
ALLOW_CREATE_APP_MODES = ["chat", "agent-chat", "advanced-chat", "workflow", "completion"]
@@ -67,7 +65,17 @@ class AppListApi(Resource):
if not app_pagination:
return {"data": [], "total": 0, "page": 1, "limit": 20, "has_more": False}
return marshal(app_pagination, app_pagination_fields)
if FeatureService.get_system_features().webapp_auth.enabled:
app_ids = [str(app.id) for app in app_pagination.items]
res = EnterpriseService.WebAppAuth.batch_get_app_access_mode_by_id(app_ids=app_ids)
if len(res) != len(app_ids):
raise BadRequest("Invalid app id in webapp auth")
for app in app_pagination.items:
if str(app.id) in res:
app.access_mode = res[str(app.id)].access_mode
return marshal(app_pagination, app_pagination_fields), 200
@setup_required
@login_required
@@ -111,6 +119,10 @@ class AppApi(Resource):
app_model = app_service.get_app(app_model)
if FeatureService.get_system_features().webapp_auth.enabled:
app_setting = EnterpriseService.WebAppAuth.get_app_access_mode_by_id(app_id=str(app_model.id))
app_model.access_mode = app_setting.access_mode
return app_model
@setup_required
@@ -6,9 +6,13 @@ from flask_restful import Resource, reqparse # type: ignore
from constants.languages import languages
from controllers.console import api
from controllers.console.auth.error import EmailCodeError, InvalidEmailError, InvalidTokenError, PasswordMismatchError
from controllers.console.error import AccountInFreezeError, AccountNotFound, EmailSendIpLimitError
from controllers.console.wraps import setup_required
from controllers.console.auth.error import (EmailCodeError, InvalidEmailError,
InvalidTokenError,
PasswordMismatchError)
from controllers.console.error import (AccountInFreezeError, AccountNotFound,
EmailSendIpLimitError)
from controllers.console.wraps import (email_password_login_enabled,
setup_required)
from events.tenant_event import tenant_was_created
from extensions.ext_database import db
from libs.helper import email, extract_remote_ip
@@ -22,6 +26,7 @@ from services.feature_service import FeatureService
class ForgotPasswordSendEmailApi(Resource):
@setup_required
@email_password_login_enabled
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("email", type=email, required=True, location="json")
@@ -53,6 +58,7 @@ class ForgotPasswordSendEmailApi(Resource):
class ForgotPasswordCheckApi(Resource):
@setup_required
@email_password_login_enabled
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("email", type=str, required=True, location="json")
@@ -72,11 +78,20 @@ class ForgotPasswordCheckApi(Resource):
if args["code"] != token_data.get("code"):
raise EmailCodeError()
return {"is_valid": True, "email": token_data.get("email")}
# Verified, revoke the first token
AccountService.revoke_reset_password_token(args["token"])
# Refresh token data by generating a new token
_, new_token = AccountService.generate_reset_password_token(
user_email, code=args["code"], additional_data={"phase": "reset"}
)
return {"is_valid": True, "email": token_data.get("email"), "token": new_token}
class ForgotPasswordResetApi(Resource):
@setup_required
@email_password_login_enabled
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("token", type=str, required=True, nullable=False, location="json")
@@ -95,6 +110,9 @@ class ForgotPasswordResetApi(Resource):
if reset_data is None:
raise InvalidTokenError()
# Must use token in reset phase
if reset_data.get("phase", "") != "reset":
raise InvalidTokenError()
AccountService.revoke_reset_password_token(token)
+3 -1
View File
@@ -22,7 +22,7 @@ from controllers.console.error import (
EmailSendIpLimitError,
NotAllowedCreateWorkspace,
)
from controllers.console.wraps import setup_required
from controllers.console.wraps import email_password_login_enabled, setup_required
from events.tenant_event import tenant_was_created
from libs.helper import email, extract_remote_ip
from libs.password import valid_password
@@ -38,6 +38,7 @@ class LoginApi(Resource):
"""Resource for user login."""
@setup_required
@email_password_login_enabled
def post(self):
"""Authenticate user and login."""
parser = reqparse.RequestParser()
@@ -110,6 +111,7 @@ class LogoutApi(Resource):
class ResetPasswordSendEmailApi(Resource):
@setup_required
@email_password_login_enabled
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("email", type=email, required=True, location="json")
@@ -620,7 +620,6 @@ class DatasetRetrievalSettingApi(Resource):
match vector_type:
case (
VectorType.RELYT
| VectorType.PGVECTOR
| VectorType.TIDB_VECTOR
| VectorType.CHROMA
| VectorType.TENCENT
+6
View File
@@ -23,3 +23,9 @@ class AppSuggestedQuestionsAfterAnswerDisabledError(BaseHTTPException):
error_code = "app_suggested_questions_after_answer_disabled"
description = "Function Suggested questions after answer disabled."
code = 403
class AppAccessDeniedError(BaseHTTPException):
error_code = "access_denied"
description = "App access denied."
code = 403
@@ -1,20 +1,26 @@
import logging
from datetime import UTC, datetime
from typing import Any
from flask import request
from flask_login import current_user # type: ignore
from flask_restful import Resource, inputs, marshal_with, reqparse # type: ignore
from flask_restful import (Resource, inputs, marshal_with, # type: ignore
reqparse)
from sqlalchemy import and_
from werkzeug.exceptions import BadRequest, Forbidden, NotFound
from controllers.console import api
from controllers.console.explore.wraps import InstalledAppResource
from controllers.console.wraps import account_initialization_required, cloud_edition_billing_resource_check
from controllers.console.wraps import (account_initialization_required,
cloud_edition_billing_resource_check)
from extensions.ext_database import db
from fields.installed_app_fields import installed_app_list_fields
from libs.login import login_required
from models import App, InstalledApp, RecommendedApp
from services.account_service import TenantService
from services.app_service import AppService
from services.enterprise.enterprise_service import EnterpriseService
from services.feature_service import FeatureService
class InstalledAppsListApi(Resource):
@@ -48,6 +54,23 @@ class InstalledAppsListApi(Resource):
for installed_app in installed_apps
if installed_app.app is not None
]
# filter out apps that user doesn't have access to
if FeatureService.get_system_features().webapp_auth.enabled:
user_id = current_user.id
res = []
for installed_app in installed_app_list:
app_code = AppService.get_app_code_by_id(str(installed_app["app"].id))
if EnterpriseService.WebAppAuth.is_user_allowed_to_access_webapp(
user_id=user_id,
app_code=app_code,
):
res.append(installed_app)
installed_app_list = res
logging.info(
f"installed_app_list: {installed_app_list}, user_id: {user_id}"
)
installed_app_list.sort(
key=lambda app: (
-app["is_pinned"],
+1 -1
View File
@@ -50,7 +50,7 @@ class MessageListApi(InstalledAppResource):
try:
return MessageService.pagination_by_first_id(
app_model, current_user, args["conversation_id"], args["first_id"], args["limit"], "desc"
app_model, current_user, args["conversation_id"], args["first_id"], args["limit"]
)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
+29 -1
View File
@@ -4,10 +4,14 @@ from flask_login import current_user # type: ignore
from flask_restful import Resource # type: ignore
from werkzeug.exceptions import NotFound
from controllers.console.explore.error import AppAccessDeniedError
from controllers.console.wraps import account_initialization_required
from extensions.ext_database import db
from libs.login import login_required
from models import InstalledApp
from services.app_service import AppService
from services.enterprise.enterprise_service import EnterpriseService
from services.feature_service import FeatureService
def installed_app_required(view=None):
@@ -48,6 +52,30 @@ def installed_app_required(view=None):
return decorator
def user_allowed_to_access_app(view=None):
def decorator(view):
@wraps(view)
def decorated(installed_app: InstalledApp, *args, **kwargs):
feature = FeatureService.get_system_features()
if feature.webapp_auth.enabled:
app_id = installed_app.app_id
app_code = AppService.get_app_code_by_id(app_id)
res = EnterpriseService.WebAppAuth.is_user_allowed_to_access_webapp(
user_id=str(current_user.id),
app_code=app_code,
)
if not res:
raise AppAccessDeniedError()
return view(installed_app, *args, **kwargs)
return decorated
if view:
return decorator(view)
return decorator
class InstalledAppResource(Resource):
# must be reversed if there are multiple decorators
method_decorators = [installed_app_required, account_initialization_required, login_required]
method_decorators = [user_allowed_to_access_app, installed_app_required, account_initialization_required, login_required]
+26 -1
View File
@@ -11,7 +11,8 @@ from models.model import DifySetup
from services.feature_service import FeatureService, LicenseStatus
from services.operation_service import OperationService
from .error import NotInitValidateError, NotSetupError, UnauthorizedAndForceLogout
from .error import (NotInitValidateError, NotSetupError,
UnauthorizedAndForceLogout)
def account_initialization_required(view):
@@ -39,6 +40,17 @@ def only_edition_cloud(view):
return decorated
def only_enterprise_edition(view):
@wraps(view)
def decorated(*args, **kwargs):
if not dify_config.ENTERPRISE_ENABLED:
abort(404)
return view(*args, **kwargs)
return decorated
def only_edition_self_hosted(view):
@wraps(view)
def decorated(*args, **kwargs):
@@ -154,3 +166,16 @@ def enterprise_license_required(view):
return view(*args, **kwargs)
return decorated
def email_password_login_enabled(view):
@wraps(view)
def decorated(*args, **kwargs):
features = FeatureService.get_system_features()
if features.enable_email_password_login:
return view(*args, **kwargs)
# otherwise, return 403
abort(403)
return decorated
+1
View File
@@ -5,4 +5,5 @@ from libs.external_api import ExternalApi
bp = Blueprint("inner_api", __name__, url_prefix="/inner/api")
api = ExternalApi(bp)
from . import mail
from .workspace import workspace
+27
View File
@@ -0,0 +1,27 @@
from flask_restful import (
Resource, # type: ignore
reqparse,
)
from controllers.console.wraps import setup_required
from controllers.inner_api import api
from controllers.inner_api.wraps import inner_api_only
from services.enterprise.mail_service import DifyMail, EnterpriseMailService
class EnterpriseMail(Resource):
@setup_required
@inner_api_only
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("to", type=str, action="append", required=True)
parser.add_argument("subject", type=str, required=True)
parser.add_argument("body", type=str, required=True)
parser.add_argument("substitutions", type=dict, required=False)
args = parser.parse_args()
EnterpriseMailService.send_mail(DifyMail(**args))
return {"message": "success"}, 200
api.add_resource(EnterpriseMail, "/enterprise/mail")
@@ -1,3 +1,5 @@
import json
from flask_restful import Resource, reqparse # type: ignore
from controllers.console.wraps import setup_required
@@ -29,4 +31,34 @@ class EnterpriseWorkspace(Resource):
return {"message": "enterprise workspace created."}
class EnterpriseWorkspaceNoOwnerEmail(Resource):
@setup_required
@inner_api_only
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("name", type=str, required=True, location="json")
args = parser.parse_args()
tenant = TenantService.create_tenant(args["name"], is_from_dashboard=True)
tenant_was_created.send(tenant)
resp = {
"id": tenant.id,
"name": tenant.name,
"encrypt_public_key": tenant.encrypt_public_key,
"plan": tenant.plan,
"status": tenant.status,
"custom_config": json.loads(tenant.custom_config) if tenant.custom_config else {},
"created_at": tenant.created_at.isoformat() if tenant.created_at else None,
"updated_at": tenant.updated_at.isoformat() if tenant.updated_at else None,
}
return {
"message": "enterprise workspace created.",
"tenant": resp,
}
api.add_resource(EnterpriseWorkspace, "/enterprise/workspace")
api.add_resource(EnterpriseWorkspaceNoOwnerEmail, "/enterprise/workspace/ownerless")
@@ -18,6 +18,7 @@ from controllers.service_api.app.error import (
from controllers.service_api.dataset.error import (
ArchivedDocumentImmutableError,
DocumentIndexingError,
InvalidMetadataError,
)
from controllers.service_api.wraps import DatasetApiResource, cloud_edition_billing_resource_check
from core.errors.error import ProviderTokenNotInitError
@@ -50,6 +51,9 @@ class DocumentAddByTextApi(DatasetApiResource):
"indexing_technique", type=str, choices=Dataset.INDEXING_TECHNIQUE_LIST, nullable=False, location="json"
)
parser.add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
parser.add_argument("doc_type", type=str, required=False, nullable=True, location="json")
parser.add_argument("doc_metadata", type=dict, required=False, nullable=True, location="json")
args = parser.parse_args()
dataset_id = str(dataset_id)
tenant_id = str(tenant_id)
@@ -61,6 +65,28 @@ class DocumentAddByTextApi(DatasetApiResource):
if not dataset.indexing_technique and not args["indexing_technique"]:
raise ValueError("indexing_technique is required.")
# Validate metadata if provided
if args.get("doc_type") or args.get("doc_metadata"):
if not args.get("doc_type") or not args.get("doc_metadata"):
raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
raise InvalidMetadataError(
"Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
)
if not isinstance(args["doc_metadata"], dict):
raise InvalidMetadataError("doc_metadata must be a dictionary")
# Validate metadata schema based on doc_type
if args["doc_type"] != "others":
metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
for key, value in args["doc_metadata"].items():
if key in metadata_schema and not isinstance(value, metadata_schema[key]):
raise InvalidMetadataError(f"Invalid type for metadata field {key}")
# set to MetaDataConfig
args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
text = args.get("text")
name = args.get("name")
if text is None or name is None:
@@ -107,6 +133,8 @@ class DocumentUpdateByTextApi(DatasetApiResource):
"doc_language", type=str, default="English", required=False, nullable=False, location="json"
)
parser.add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
parser.add_argument("doc_type", type=str, required=False, nullable=True, location="json")
parser.add_argument("doc_metadata", type=dict, required=False, nullable=True, location="json")
args = parser.parse_args()
dataset_id = str(dataset_id)
tenant_id = str(tenant_id)
@@ -115,6 +143,32 @@ class DocumentUpdateByTextApi(DatasetApiResource):
if not dataset:
raise ValueError("Dataset is not exist.")
# indexing_technique is already set in dataset since this is an update
args["indexing_technique"] = dataset.indexing_technique
# Validate metadata if provided
if args.get("doc_type") or args.get("doc_metadata"):
if not args.get("doc_type") or not args.get("doc_metadata"):
raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
raise InvalidMetadataError(
"Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
)
if not isinstance(args["doc_metadata"], dict):
raise InvalidMetadataError("doc_metadata must be a dictionary")
# Validate metadata schema based on doc_type
if args["doc_type"] != "others":
metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
for key, value in args["doc_metadata"].items():
if key in metadata_schema and not isinstance(value, metadata_schema[key]):
raise InvalidMetadataError(f"Invalid type for metadata field {key}")
# set to MetaDataConfig
args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
if args["text"]:
text = args.get("text")
name = args.get("name")
@@ -161,6 +215,30 @@ class DocumentAddByFileApi(DatasetApiResource):
args["doc_form"] = "text_model"
if "doc_language" not in args:
args["doc_language"] = "English"
# Validate metadata if provided
if args.get("doc_type") or args.get("doc_metadata"):
if not args.get("doc_type") or not args.get("doc_metadata"):
raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
raise InvalidMetadataError(
"Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
)
if not isinstance(args["doc_metadata"], dict):
raise InvalidMetadataError("doc_metadata must be a dictionary")
# Validate metadata schema based on doc_type
if args["doc_type"] != "others":
metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
for key, value in args["doc_metadata"].items():
if key in metadata_schema and not isinstance(value, metadata_schema[key]):
raise InvalidMetadataError(f"Invalid type for metadata field {key}")
# set to MetaDataConfig
args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
# get dataset info
dataset_id = str(dataset_id)
tenant_id = str(tenant_id)
@@ -228,6 +306,29 @@ class DocumentUpdateByFileApi(DatasetApiResource):
if "doc_language" not in args:
args["doc_language"] = "English"
# Validate metadata if provided
if args.get("doc_type") or args.get("doc_metadata"):
if not args.get("doc_type") or not args.get("doc_metadata"):
raise InvalidMetadataError("Both doc_type and doc_metadata must be provided when adding metadata")
if args["doc_type"] not in DocumentService.DOCUMENT_METADATA_SCHEMA:
raise InvalidMetadataError(
"Invalid doc_type. Must be one of: " + ", ".join(DocumentService.DOCUMENT_METADATA_SCHEMA.keys())
)
if not isinstance(args["doc_metadata"], dict):
raise InvalidMetadataError("doc_metadata must be a dictionary")
# Validate metadata schema based on doc_type
if args["doc_type"] != "others":
metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[args["doc_type"]]
for key, value in args["doc_metadata"].items():
if key in metadata_schema and not isinstance(value, metadata_schema[key]):
raise InvalidMetadataError(f"Invalid type for metadata field {key}")
# set to MetaDataConfig
args["metadata"] = {"doc_type": args["doc_type"], "doc_metadata": args["doc_metadata"]}
# get dataset info
dataset_id = str(dataset_id)
tenant_id = str(tenant_id)
+51 -1
View File
@@ -1,12 +1,16 @@
from flask_restful import marshal_with # type: ignore
from flask import request
from flask_restful import Resource, marshal_with, reqparse # type: ignore
from controllers.common import fields
from controllers.common import helpers as controller_helpers
from controllers.web import api
from controllers.web.error import AppUnavailableError
from controllers.web.wraps import WebApiResource
from libs.passport import PassportService
from models.model import App, AppMode
from services.app_service import AppService
from services.enterprise.enterprise_service import EnterpriseService
class AppParameterApi(WebApiResource):
@@ -42,5 +46,51 @@ class AppMeta(WebApiResource):
return AppService().get_app_meta(app_model)
class AppAccessMode(Resource):
def get(self):
parser = reqparse.RequestParser()
parser.add_argument("appId", type=str, required=True, location="args")
args = parser.parse_args()
app_id = args["appId"]
res = EnterpriseService.WebAppAuth.get_app_access_mode_by_id(app_id)
return {"accessMode": res.access_mode}
class AppWebAuthPermission(Resource):
def get(self):
user_id = "visitor"
try:
auth_header = request.headers.get("Authorization")
if auth_header is None:
raise
if " " not in auth_header:
raise
auth_scheme, tk = auth_header.split(None, 1)
auth_scheme = auth_scheme.lower()
if auth_scheme != "bearer":
raise
decoded = PassportService().verify(tk)
user_id = decoded.get("user_id", "visitor")
except Exception as e:
pass
parser = reqparse.RequestParser()
parser.add_argument("appId", type=str, required=True, location="args")
args = parser.parse_args()
app_id = args["appId"]
app_code = AppService.get_app_code_by_id(app_id)
res = EnterpriseService.WebAppAuth.is_user_allowed_to_access_webapp(str(user_id), app_code)
return {"result": res}
api.add_resource(AppParameterApi, "/parameters")
api.add_resource(AppMeta, "/meta")
# webapp auth apis
api.add_resource(AppAccessMode, "/webapp/access-mode")
api.add_resource(AppWebAuthPermission, "/webapp/permission")
+8 -2
View File
@@ -121,9 +121,15 @@ class UnsupportedFileTypeError(BaseHTTPException):
code = 415
class WebSSOAuthRequiredError(BaseHTTPException):
class WebAppAuthRequiredError(BaseHTTPException):
error_code = "web_sso_auth_required"
description = "Web SSO authentication required."
description = "Web app authentication required."
code = 401
class WebAppAuthAccessDeniedError(BaseHTTPException):
error_code = "web_app_access_denied"
description = "You do not have permission to access this web app."
code = 401
+121
View File
@@ -0,0 +1,121 @@
from flask import request
from flask_restful import Resource, reqparse
from jwt import InvalidTokenError # type: ignore
from web import api
from werkzeug.exceptions import BadRequest
import services
from controllers.console.auth.error import EmailCodeError, EmailOrPasswordMismatchError, InvalidEmailError
from controllers.console.error import AccountBannedError, AccountNotFound
from controllers.console.wraps import setup_required
from libs.helper import email
from libs.password import valid_password
from services.account_service import AccountService
from services.webapp_auth_service import WebAppAuthService
class LoginApi(Resource):
"""Resource for web app email/password login."""
def post(self):
"""Authenticate user and login."""
parser = reqparse.RequestParser()
parser.add_argument("email", type=email, required=True, location="json")
parser.add_argument("password", type=valid_password, required=True, location="json")
args = parser.parse_args()
app_code = request.headers.get("X-App-Code")
if app_code is None:
raise BadRequest("X-App-Code header is missing.")
try:
account = WebAppAuthService.authenticate(args["email"], args["password"])
except services.errors.account.AccountLoginError:
raise AccountBannedError()
except services.errors.account.AccountPasswordError:
raise EmailOrPasswordMismatchError()
except services.errors.account.AccountNotFoundError:
raise AccountNotFound()
WebAppAuthService._validate_user_accessibility(account=account, app_code=app_code)
end_user = WebAppAuthService.create_end_user(email=args["email"], app_code=app_code)
token = WebAppAuthService.login(account=account, app_code=app_code, end_user_id=end_user.id)
return {"result": "success", "token": token}
# class LogoutApi(Resource):
# @setup_required
# def get(self):
# account = cast(Account, flask_login.current_user)
# if isinstance(account, flask_login.AnonymousUserMixin):
# return {"result": "success"}
# flask_login.logout_user()
# return {"result": "success"}
class EmailCodeLoginSendEmailApi(Resource):
@setup_required
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("email", type=email, required=True, location="json")
parser.add_argument("language", type=str, required=False, location="json")
args = parser.parse_args()
if args["language"] is not None and args["language"] == "zh-Hans":
language = "zh-Hans"
else:
language = "en-US"
account = WebAppAuthService.get_user_through_email(args["email"])
if account is None:
raise AccountNotFound()
else:
token = WebAppAuthService.send_email_code_login_email(account=account, language=language)
return {"result": "success", "data": token}
class EmailCodeLoginApi(Resource):
@setup_required
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("email", type=str, required=True, location="json")
parser.add_argument("code", type=str, required=True, location="json")
parser.add_argument("token", type=str, required=True, location="json")
args = parser.parse_args()
user_email = args["email"]
app_code = request.headers.get("X-App-Code")
if app_code is None:
raise BadRequest("X-App-Code header is missing.")
token_data = WebAppAuthService.get_email_code_login_data(args["token"])
if token_data is None:
raise InvalidTokenError()
if token_data["email"] != args["email"]:
raise InvalidEmailError()
if token_data["code"] != args["code"]:
raise EmailCodeError()
WebAppAuthService.revoke_email_code_login_token(args["token"])
account = WebAppAuthService.get_user_through_email(user_email)
if not account:
raise AccountNotFound()
WebAppAuthService._validate_user_accessibility(account=account, app_code=app_code)
end_user = WebAppAuthService.create_end_user(email=user_email, app_code=app_code)
token = WebAppAuthService.login(account=account, app_code=app_code, end_user_id=end_user.id)
AccountService.reset_login_error_rate_limit(args["email"])
return {"result": "success", "token": token}
api.add_resource(LoginApi, "/login")
# api.add_resource(LogoutApi, "/logout")
api.add_resource(EmailCodeLoginSendEmailApi, "/email-code-login")
api.add_resource(EmailCodeLoginApi, "/email-code-login/validity")
+1 -1
View File
@@ -91,7 +91,7 @@ class MessageListApi(WebApiResource):
try:
return MessageService.pagination_by_first_id(
app_model, end_user, args["conversation_id"], args["first_id"], args["limit"], "desc"
app_model, end_user, args["conversation_id"], args["first_id"], args["limit"]
)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
+5 -5
View File
@@ -5,7 +5,7 @@ from flask_restful import Resource # type: ignore
from werkzeug.exceptions import NotFound, Unauthorized
from controllers.web import api
from controllers.web.error import WebSSOAuthRequiredError
from controllers.web.error import WebAppAuthRequiredError
from extensions.ext_database import db
from libs.passport import PassportService
from models.model import App, EndUser, Site
@@ -22,10 +22,10 @@ class PassportResource(Resource):
if app_code is None:
raise Unauthorized("X-App-Code header is missing.")
if system_features.sso_enforced_for_web:
app_web_sso_enabled = EnterpriseService.get_app_web_sso_enabled(app_code).get("enabled", False)
if app_web_sso_enabled:
raise WebSSOAuthRequiredError()
if system_features.webapp_auth.enabled:
app_settings = EnterpriseService.WebAppAuth.get_app_access_mode_by_code(app_code=app_code)
if not app_settings or not app_settings.access_mode == "public":
raise WebAppAuthRequiredError()
# get site from db and check if it is normal
site = db.session.query(Site).filter(Site.code == app_code, Site.status == "normal").first()
+40 -22
View File
@@ -4,7 +4,7 @@ from flask import request
from flask_restful import Resource # type: ignore
from werkzeug.exceptions import BadRequest, NotFound, Unauthorized
from controllers.web.error import WebSSOAuthRequiredError
from controllers.web.error import WebAppAuthAccessDeniedError, WebAppAuthRequiredError
from extensions.ext_database import db
from libs.passport import PassportService
from models.model import App, EndUser, Site
@@ -57,35 +57,53 @@ def decode_jwt_token():
if not end_user:
raise NotFound()
_validate_web_sso_token(decoded, system_features, app_code)
# for enterprise webapp auth
app_web_auth_enabled = False
if system_features.webapp_auth.enabled:
app_web_auth_enabled = (
EnterpriseService.WebAppAuth.get_app_access_mode_by_code(app_code=app_code).access_mode != "public"
)
_validate_webapp_token(decoded, app_web_auth_enabled, system_features.webapp_auth.enabled)
_validate_user_accessibility(decoded, app_code, app_web_auth_enabled, system_features.webapp_auth.enabled)
return app_model, end_user
except Unauthorized as e:
if system_features.sso_enforced_for_web:
app_web_sso_enabled = EnterpriseService.get_app_web_sso_enabled(app_code).get("enabled", False)
if app_web_sso_enabled:
raise WebSSOAuthRequiredError()
if system_features.webapp_auth.enabled:
app_web_auth_enabled = (
EnterpriseService.WebAppAuth.get_app_access_mode_by_code(app_code=app_code).access_mode != "public"
)
if app_web_auth_enabled:
raise WebAppAuthRequiredError()
raise Unauthorized(e.description)
def _validate_web_sso_token(decoded, system_features, app_code):
app_web_sso_enabled = False
# Check if SSO is enforced for web, and if the token source is not SSO, raise an error and redirect to SSO login
if system_features.sso_enforced_for_web:
app_web_sso_enabled = EnterpriseService.get_app_web_sso_enabled(app_code).get("enabled", False)
if app_web_sso_enabled:
source = decoded.get("token_source")
if not source or source != "sso":
raise WebSSOAuthRequiredError()
# Check if SSO is not enforced for web, and if the token source is SSO,
# raise an error and redirect to normal passport login
if not system_features.sso_enforced_for_web or not app_web_sso_enabled:
def _validate_webapp_token(decoded, app_web_auth_enabled: bool, system_webapp_auth_enabled: bool):
# Check if authentication is enforced for web app, and if the token source is not webapp,
# raise an error and redirect to login
if system_webapp_auth_enabled and app_web_auth_enabled:
source = decoded.get("token_source")
if source and source == "sso":
raise Unauthorized("sso token expired.")
if not source or source != "webapp":
raise WebAppAuthRequiredError()
# Check if authentication is not enforced for web, and if the token source is webapp,
# raise an error and redirect to normal passport login
if not system_webapp_auth_enabled or not app_web_auth_enabled:
source = decoded.get("token_source")
if source and source == "webapp":
raise Unauthorized("webapp token expired.")
def _validate_user_accessibility(decoded, app_code, app_web_auth_enabled: bool, system_webapp_auth_enabled: bool):
if system_webapp_auth_enabled and app_web_auth_enabled:
# Check if the user is allowed to access the web app
user_id = decoded.get("user_id")
if not user_id:
raise WebAppAuthRequiredError()
if not EnterpriseService.WebAppAuth.is_user_allowed_to_access_webapp(user_id, app_code=app_code):
raise WebAppAuthAccessDeniedError()
class WebApiResource(Resource):
+1 -1
View File
@@ -202,7 +202,7 @@ class AgentChatAppRunner(AppRunner):
# change function call strategy based on LLM model
llm_model = cast(LargeLanguageModel, model_instance.model_type_instance)
model_schema = llm_model.get_model_schema(model_instance.model, model_instance.credentials)
if not model_schema or not model_schema.features:
if not model_schema:
raise ValueError("Model schema not found")
if {ModelFeature.MULTI_TOOL_CALL, ModelFeature.TOOL_CALL}.intersection(model_schema.features or []):
+5 -10
View File
@@ -11,15 +11,6 @@ from configs import dify_config
SSRF_DEFAULT_MAX_RETRIES = dify_config.SSRF_DEFAULT_MAX_RETRIES
proxy_mounts = (
{
"http://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTP_URL),
"https://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTPS_URL),
}
if dify_config.SSRF_PROXY_HTTP_URL and dify_config.SSRF_PROXY_HTTPS_URL
else None
)
BACKOFF_FACTOR = 0.5
STATUS_FORCELIST = [429, 500, 502, 503, 504]
@@ -51,7 +42,11 @@ def make_request(method, url, max_retries=SSRF_DEFAULT_MAX_RETRIES, **kwargs):
if dify_config.SSRF_PROXY_ALL_URL:
with httpx.Client(proxy=dify_config.SSRF_PROXY_ALL_URL) as client:
response = client.request(method=method, url=url, **kwargs)
elif proxy_mounts:
elif dify_config.SSRF_PROXY_HTTP_URL and dify_config.SSRF_PROXY_HTTPS_URL:
proxy_mounts = {
"http://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTP_URL),
"https://": httpx.HTTPTransport(proxy=dify_config.SSRF_PROXY_HTTPS_URL),
}
with httpx.Client(mounts=proxy_mounts) as client:
response = client.request(method=method, url=url, **kwargs)
else:
+2 -1
View File
@@ -1,4 +1,4 @@
from .llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
from .llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
from .message_entities import (
AssistantPromptMessage,
AudioPromptMessageContent,
@@ -23,6 +23,7 @@ __all__ = [
"AudioPromptMessageContent",
"DocumentPromptMessageContent",
"ImagePromptMessageContent",
"LLMMode",
"LLMResult",
"LLMResultChunk",
"LLMResultChunkDelta",
@@ -1,5 +1,5 @@
from decimal import Decimal
from enum import Enum
from enum import StrEnum
from typing import Optional
from pydantic import BaseModel
@@ -8,7 +8,7 @@ from core.model_runtime.entities.message_entities import AssistantPromptMessage,
from core.model_runtime.entities.model_entities import ModelUsage, PriceInfo
class LLMMode(Enum):
class LLMMode(StrEnum):
"""
Enum class for large language model mode.
"""
@@ -221,13 +221,12 @@ class AIModel(ABC):
:param credentials: model credentials
:return: model schema
"""
# get predefined models (predefined_models)
models = self.predefined_models()
model_map = {model.model: model for model in models}
if model in model_map:
return model_map[model]
# Try to get model schema from predefined models
for predefined_model in self.predefined_models():
if model == predefined_model.model:
return predefined_model
# Try to get model schema from credentials
if credentials:
model_schema = self.get_customizable_model_schema_from_credentials(model, credentials)
if model_schema:
@@ -30,6 +30,11 @@ from core.model_runtime.model_providers.__base.ai_model import AIModel
logger = logging.getLogger(__name__)
HTML_THINKING_TAG = (
'<details style="color:gray;background-color: #f8f8f8;padding: 8px;border-radius: 4px;" open> '
"<summary> Thinking... </summary>"
)
class LargeLanguageModel(AIModel):
"""
@@ -400,6 +405,40 @@ if you are not sure about the structure.
),
)
def _wrap_thinking_by_reasoning_content(self, delta: dict, is_reasoning: bool) -> tuple[str, bool]:
"""
If the reasoning response is from delta.get("reasoning_content"), we wrap
it with HTML details tag.
:param delta: delta dictionary from LLM streaming response
:param is_reasoning: is reasoning
:return: tuple of (processed_content, is_reasoning)
"""
content = delta.get("content") or ""
reasoning_content = delta.get("reasoning_content")
if reasoning_content:
if not is_reasoning:
content = HTML_THINKING_TAG + reasoning_content
is_reasoning = True
else:
content = reasoning_content
elif is_reasoning:
content = "</details>" + content
is_reasoning = False
return content, is_reasoning
def _wrap_thinking_by_tag(self, content: str) -> str:
"""
if the reasoning response is a <think>...</think> block from delta.get("content"),
we replace <think> to <detail>.
:param content: delta.get("content")
:return: processed_content
"""
return content.replace("<think>", HTML_THINKING_TAG).replace("</think>", "</details>")
def _invoke_result_generator(
self,
model: str,
@@ -1,4 +1,5 @@
- openai
- deepseek
- anthropic
- azure_openai
- google
@@ -32,7 +33,6 @@
- localai
- volcengine_maas
- openai_api_compatible
- deepseek
- hunyuan
- siliconflow
- perfxcloud
@@ -51,6 +51,40 @@ model_credential_schema:
show_on:
- variable: __model_type
value: llm
- variable: mode
show_on:
- variable: __model_type
value: llm
label:
en_US: Completion mode
type: select
required: false
default: chat
placeholder:
zh_Hans: 选择对话类型
en_US: Select completion mode
options:
- value: completion
label:
en_US: Completion
zh_Hans: 补全
- value: chat
label:
en_US: Chat
zh_Hans: 对话
- variable: context_size
label:
zh_Hans: 模型上下文长度
en_US: Model context size
required: true
show_on:
- variable: __model_type
value: llm
type: text-input
default: "4096"
placeholder:
zh_Hans: 在此输入您的模型上下文长度
en_US: Enter your Model context size
- variable: jwt_token
required: true
label:
@@ -1,9 +1,9 @@
import logging
from collections.abc import Generator
from collections.abc import Generator, Sequence
from typing import Any, Optional, Union
from azure.ai.inference import ChatCompletionsClient
from azure.ai.inference.models import StreamingChatCompletionsUpdate
from azure.ai.inference.models import StreamingChatCompletionsUpdate, SystemMessage, UserMessage
from azure.core.credentials import AzureKeyCredential
from azure.core.exceptions import (
ClientAuthenticationError,
@@ -20,7 +20,7 @@ from azure.core.exceptions import (
)
from core.model_runtime.callbacks.base_callback import Callback
from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
from core.model_runtime.entities.message_entities import (
AssistantPromptMessage,
PromptMessage,
@@ -30,6 +30,7 @@ from core.model_runtime.entities.model_entities import (
AIModelEntity,
FetchFrom,
I18nObject,
ModelPropertyKey,
ModelType,
ParameterRule,
ParameterType,
@@ -60,10 +61,10 @@ class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
self,
model: str,
credentials: dict,
prompt_messages: list[PromptMessage],
prompt_messages: Sequence[PromptMessage],
model_parameters: dict,
tools: Optional[list[PromptMessageTool]] = None,
stop: Optional[list[str]] = None,
tools: Optional[Sequence[PromptMessageTool]] = None,
stop: Optional[Sequence[str]] = None,
stream: bool = True,
user: Optional[str] = None,
) -> Union[LLMResult, Generator]:
@@ -82,8 +83,8 @@ class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
"""
if not self.client:
endpoint = credentials.get("endpoint")
api_key = credentials.get("api_key")
endpoint = str(credentials.get("endpoint"))
api_key = str(credentials.get("api_key"))
self.client = ChatCompletionsClient(endpoint=endpoint, credential=AzureKeyCredential(api_key))
messages = [{"role": msg.role.value, "content": msg.content} for msg in prompt_messages]
@@ -94,6 +95,7 @@ class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
"temperature": model_parameters.get("temperature", 0),
"top_p": model_parameters.get("top_p", 1),
"stream": stream,
"model": model,
}
if stop:
@@ -255,10 +257,16 @@ class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
:return:
"""
try:
endpoint = credentials.get("endpoint")
api_key = credentials.get("api_key")
endpoint = str(credentials.get("endpoint"))
api_key = str(credentials.get("api_key"))
client = ChatCompletionsClient(endpoint=endpoint, credential=AzureKeyCredential(api_key))
client.get_model_info()
client.complete(
messages=[
SystemMessage(content="I say 'ping', you say 'pong'"),
UserMessage(content="ping"),
],
model=model,
)
except Exception as ex:
raise CredentialsValidateFailedError(str(ex))
@@ -327,7 +335,10 @@ class AzureAIStudioLargeLanguageModel(LargeLanguageModel):
fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
model_type=ModelType.LLM,
features=[],
model_properties={},
model_properties={
ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", "4096")),
ModelPropertyKey.MODE: credentials.get("mode", LLMMode.CHAT),
},
parameter_rules=rules,
)
@@ -53,6 +53,9 @@ model_credential_schema:
type: select
required: true
options:
- label:
en_US: 2024-12-01-preview
value: 2024-12-01-preview
- label:
en_US: 2024-10-01-preview
value: 2024-10-01-preview
@@ -135,6 +138,18 @@ model_credential_schema:
show_on:
- variable: __model_type
value: llm
- label:
en_US: o3-mini
value: o3-mini
show_on:
- variable: __model_type
value: llm
- label:
en_US: o3-mini-2025-01-31
value: o3-mini-2025-01-31
show_on:
- variable: __model_type
value: llm
- label:
en_US: o1-preview
value: o1-preview
@@ -123,6 +123,15 @@ provider_credential_schema:
en_US: AWS GovCloud (US-West)
zh_Hans: AWS GovCloud (US-West)
ja_JP: AWS GovCloud (米国西部)
- variable: bedrock_endpoint_url
label:
zh_Hans: Bedrock Endpoint URL
en_US: Bedrock Endpoint URL
type: text-input
required: false
placeholder:
zh_Hans: 在此输入您的 Bedrock Endpoint URL, 如:https://123456.cloudfront.net
en_US: Enter your Bedrock Endpoint URL, e.g. https://123456.cloudfront.net
- variable: model_for_validation
required: false
label:
@@ -13,6 +13,7 @@ def get_bedrock_client(service_name: str, credentials: Mapping[str, str]):
client_config = Config(region_name=region_name)
aws_access_key_id = credentials.get("aws_access_key_id")
aws_secret_access_key = credentials.get("aws_secret_access_key")
bedrock_endpoint_url = credentials.get("bedrock_endpoint_url")
if aws_access_key_id and aws_secret_access_key:
# use aksk to call bedrock
@@ -21,6 +22,7 @@ def get_bedrock_client(service_name: str, credentials: Mapping[str, str]):
config=client_config,
aws_access_key_id=aws_access_key_id,
aws_secret_access_key=aws_secret_access_key,
**({"endpoint_url": bedrock_endpoint_url} if bedrock_endpoint_url else {}),
)
else:
# use iam without aksk to call
@@ -677,16 +677,17 @@ class CohereLargeLanguageModel(LargeLanguageModel):
:return: model schema
"""
# get model schema
models = self.predefined_models()
model_map = {model.model: model for model in models}
mode = credentials.get("mode")
base_model_schema = None
for predefined_model in self.predefined_models():
if (
mode == "chat" and predefined_model.model == "command-light-chat"
) or predefined_model.model == "command-light":
base_model_schema = predefined_model
break
if mode == "chat":
base_model_schema = model_map["command-light-chat"]
else:
base_model_schema = model_map["command-light"]
if not base_model_schema:
raise ValueError("Model not found")
base_model_schema = cast(AIModelEntity, base_model_schema)
@@ -1,13 +1,10 @@
import json
from collections.abc import Generator
from typing import Optional, Union
import requests
from yarl import URL
from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
from core.model_runtime.entities.llm_entities import LLMMode, LLMResult
from core.model_runtime.entities.message_entities import (
AssistantPromptMessage,
PromptMessage,
PromptMessageTool,
)
@@ -39,208 +36,3 @@ class DeepseekLargeLanguageModel(OAIAPICompatLargeLanguageModel):
credentials["mode"] = LLMMode.CHAT.value
credentials["function_calling_type"] = "tool_call"
credentials["stream_function_calling"] = "support"
def _handle_generate_stream_response(
self, model: str, credentials: dict, response: requests.Response, prompt_messages: list[PromptMessage]
) -> Generator:
"""
Handle llm stream response
:param model: model name
:param credentials: model credentials
:param response: streamed response
:param prompt_messages: prompt messages
:return: llm response chunk generator
"""
full_assistant_content = ""
chunk_index = 0
is_reasoning_started = False # Add flag to track reasoning state
def create_final_llm_result_chunk(
id: Optional[str], index: int, message: AssistantPromptMessage, finish_reason: str, usage: dict
) -> LLMResultChunk:
# calculate num tokens
prompt_tokens = usage and usage.get("prompt_tokens")
if prompt_tokens is None:
prompt_tokens = self._num_tokens_from_string(model, prompt_messages[0].content)
completion_tokens = usage and usage.get("completion_tokens")
if completion_tokens is None:
completion_tokens = self._num_tokens_from_string(model, full_assistant_content)
# transform usage
usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens)
return LLMResultChunk(
id=id,
model=model,
prompt_messages=prompt_messages,
delta=LLMResultChunkDelta(index=index, message=message, finish_reason=finish_reason, usage=usage),
)
# delimiter for stream response, need unicode_escape
import codecs
delimiter = credentials.get("stream_mode_delimiter", "\n\n")
delimiter = codecs.decode(delimiter, "unicode_escape")
tools_calls: list[AssistantPromptMessage.ToolCall] = []
def increase_tool_call(new_tool_calls: list[AssistantPromptMessage.ToolCall]):
def get_tool_call(tool_call_id: str):
if not tool_call_id:
return tools_calls[-1]
tool_call = next((tool_call for tool_call in tools_calls if tool_call.id == tool_call_id), None)
if tool_call is None:
tool_call = AssistantPromptMessage.ToolCall(
id=tool_call_id,
type="function",
function=AssistantPromptMessage.ToolCall.ToolCallFunction(name="", arguments=""),
)
tools_calls.append(tool_call)
return tool_call
for new_tool_call in new_tool_calls:
# get tool call
tool_call = get_tool_call(new_tool_call.function.name)
# update tool call
if new_tool_call.id:
tool_call.id = new_tool_call.id
if new_tool_call.type:
tool_call.type = new_tool_call.type
if new_tool_call.function.name:
tool_call.function.name = new_tool_call.function.name
if new_tool_call.function.arguments:
tool_call.function.arguments += new_tool_call.function.arguments
finish_reason = None # The default value of finish_reason is None
message_id, usage = None, None
for chunk in response.iter_lines(decode_unicode=True, delimiter=delimiter):
chunk = chunk.strip()
if chunk:
# ignore sse comments
if chunk.startswith(":"):
continue
decoded_chunk = chunk.strip().removeprefix("data:").lstrip()
if decoded_chunk == "[DONE]": # Some provider returns "data: [DONE]"
continue
try:
chunk_json: dict = json.loads(decoded_chunk)
# stream ended
except json.JSONDecodeError as e:
yield create_final_llm_result_chunk(
id=message_id,
index=chunk_index + 1,
message=AssistantPromptMessage(content=""),
finish_reason="Non-JSON encountered.",
usage=usage,
)
break
# handle the error here. for issue #11629
if chunk_json.get("error") and chunk_json.get("choices") is None:
raise ValueError(chunk_json.get("error"))
if chunk_json:
if u := chunk_json.get("usage"):
usage = u
if not chunk_json or len(chunk_json["choices"]) == 0:
continue
choice = chunk_json["choices"][0]
finish_reason = chunk_json["choices"][0].get("finish_reason")
message_id = chunk_json.get("id")
chunk_index += 1
if "delta" in choice:
delta = choice["delta"]
is_reasoning = delta.get("reasoning_content")
delta_content = delta.get("content") or delta.get("reasoning_content")
assistant_message_tool_calls = None
if "tool_calls" in delta and credentials.get("function_calling_type", "no_call") == "tool_call":
assistant_message_tool_calls = delta.get("tool_calls", None)
elif (
"function_call" in delta
and credentials.get("function_calling_type", "no_call") == "function_call"
):
assistant_message_tool_calls = [
{"id": "tool_call_id", "type": "function", "function": delta.get("function_call", {})}
]
# assistant_message_function_call = delta.delta.function_call
# extract tool calls from response
if assistant_message_tool_calls:
tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
increase_tool_call(tool_calls)
if delta_content is None or delta_content == "":
continue
# Add markdown quote markers for reasoning content
if is_reasoning:
if not is_reasoning_started:
delta_content = "> 💭 " + delta_content
is_reasoning_started = True
elif "\n\n" in delta_content:
delta_content = delta_content.replace("\n\n", "\n> ")
elif "\n" in delta_content:
delta_content = delta_content.replace("\n", "\n> ")
elif is_reasoning_started:
# If we were in reasoning mode but now getting regular content,
# add \n\n to close the reasoning block
delta_content = "\n\n" + delta_content
is_reasoning_started = False
# transform assistant message to prompt message
assistant_prompt_message = AssistantPromptMessage(
content=delta_content,
)
# reset tool calls
tool_calls = []
full_assistant_content += delta_content
elif "text" in choice:
choice_text = choice.get("text", "")
if choice_text == "":
continue
# transform assistant message to prompt message
assistant_prompt_message = AssistantPromptMessage(content=choice_text)
full_assistant_content += choice_text
else:
continue
yield LLMResultChunk(
id=message_id,
model=model,
prompt_messages=prompt_messages,
delta=LLMResultChunkDelta(
index=chunk_index,
message=assistant_prompt_message,
),
)
chunk_index += 1
if tools_calls:
yield LLMResultChunk(
id=message_id,
model=model,
prompt_messages=prompt_messages,
delta=LLMResultChunkDelta(
index=chunk_index,
message=AssistantPromptMessage(tool_calls=tools_calls, content=""),
),
)
yield create_final_llm_result_chunk(
id=message_id,
index=chunk_index,
message=AssistantPromptMessage(content=""),
finish_reason=finish_reason,
usage=usage,
)
@@ -1,4 +1,6 @@
- gemini-2.0-flash-001
- gemini-2.0-flash-exp
- gemini-2.0-pro-exp-02-05
- gemini-2.0-flash-thinking-exp-1219
- gemini-2.0-flash-thinking-exp-01-21
- gemini-1.5-pro
@@ -0,0 +1,41 @@
model: gemini-2.0-flash-001
label:
en_US: Gemini 2.0 Flash 001
model_type: llm
features:
- agent-thought
- vision
- tool-call
- stream-tool-call
- document
- video
- audio
model_properties:
mode: chat
context_size: 1048576
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
@@ -0,0 +1,41 @@
model: gemini-2.0-pro-exp-02-05
label:
en_US: Gemini 2.0 pro exp 02-05
model_type: llm
features:
- agent-thought
- vision
- tool-call
- stream-tool-call
- document
- video
- audio
model_properties:
mode: chat
context_size: 1048576
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
@@ -1,3 +1,4 @@
- deepseek-r1-distill-llama-70b
- llama-3.1-405b-reasoning
- llama-3.3-70b-versatile
- llama-3.1-70b-versatile
@@ -0,0 +1,36 @@
model: deepseek-r1-distill-llama-70b
label:
en_US: DeepSeek R1 Distill Llama 70b
model_type: llm
features:
- agent-thought
model_properties:
mode: chat
context_size: 128000
parameter_rules:
- name: temperature
use_template: temperature
- name: top_p
use_template: top_p
- name: max_tokens
use_template: max_tokens
default: 512
min: 1
max: 8192
- 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: '3.00'
output: '3.00'
unit: '0.000001'
currency: USD
@@ -1,7 +1,7 @@
model: Sao10K/L3-8B-Stheno-v3.2
label:
zh_Hans: Sao10K/L3-8B-Stheno-v3.2
en_US: Sao10K/L3-8B-Stheno-v3.2
zh_Hans: L3 8B Stheno V3.2
en_US: L3 8B Stheno V3.2
model_type: llm
features:
- agent-thought
@@ -1,4 +1,5 @@
# Deepseek Models
- deepseek/deepseek-r1
- deepseek/deepseek_v3
# LLaMA Models
@@ -1,7 +1,7 @@
model: jondurbin/airoboros-l2-70b
label:
zh_Hans: jondurbin/airoboros-l2-70b
en_US: jondurbin/airoboros-l2-70b
zh_Hans: Airoboros L2 70B
en_US: Airoboros L2 70B
model_type: llm
features:
- agent-thought
@@ -0,0 +1,41 @@
model: deepseek/deepseek-r1
label:
zh_Hans: DeepSeek R1
en_US: DeepSeek R1
model_type: llm
features:
- agent-thought
model_properties:
mode: chat
context_size: 64000
parameter_rules:
- name: temperature
use_template: temperature
min: 0
max: 2
default: 1
- name: top_p
use_template: top_p
min: 0
max: 1
default: 1
- name: max_tokens
use_template: max_tokens
min: 1
max: 2048
default: 512
- name: frequency_penalty
use_template: frequency_penalty
min: -2
max: 2
default: 0
- name: presence_penalty
use_template: presence_penalty
min: -2
max: 2
default: 0
pricing:
input: '0.04'
output: '0.04'
unit: '0.0001'
currency: USD
@@ -1,7 +1,7 @@
model: deepseek/deepseek_v3
label:
zh_Hans: deepseek/deepseek_v3
en_US: deepseek/deepseek_v3
zh_Hans: DeepSeek V3
en_US: DeepSeek V3
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: cognitivecomputations/dolphin-mixtral-8x22b
label:
zh_Hans: cognitivecomputations/dolphin-mixtral-8x22b
en_US: cognitivecomputations/dolphin-mixtral-8x22b
zh_Hans: Dolphin Mixtral 8x22B
en_US: Dolphin Mixtral 8x22B
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: google/gemma-2-9b-it
label:
zh_Hans: google/gemma-2-9b-it
en_US: google/gemma-2-9b-it
zh_Hans: Gemma 2 9B
en_US: Gemma 2 9B
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: nousresearch/hermes-2-pro-llama-3-8b
label:
zh_Hans: nousresearch/hermes-2-pro-llama-3-8b
en_US: nousresearch/hermes-2-pro-llama-3-8b
zh_Hans: Hermes 2 Pro Llama 3 8B
en_US: Hermes 2 Pro Llama 3 8B
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: sao10k/l3-70b-euryale-v2.1
label:
zh_Hans: sao10k/l3-70b-euryale-v2.1
en_US: sao10k/l3-70b-euryale-v2.1
zh_Hans: "L3 70B Euryale V2.1\t"
en_US: "L3 70B Euryale V2.1\t"
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: sao10k/l3-8b-lunaris
label:
zh_Hans: sao10k/l3-8b-lunaris
en_US: sao10k/l3-8b-lunaris
zh_Hans: "Sao10k L3 8B Lunaris"
en_US: "Sao10k L3 8B Lunaris"
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: sao10k/l31-70b-euryale-v2.2
label:
zh_Hans: sao10k/l31-70b-euryale-v2.2
en_US: sao10k/l31-70b-euryale-v2.2
zh_Hans: L31 70B Euryale V2.2
en_US: L31 70B Euryale V2.2
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: meta-llama/llama-3-70b-instruct
label:
zh_Hans: meta-llama/llama-3-70b-instruct
en_US: meta-llama/llama-3-70b-instruct
zh_Hans: Llama3 70b Instruct
en_US: Llama3 70b Instruct
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: meta-llama/llama-3-8b-instruct
label:
zh_Hans: meta-llama/llama-3-8b-instruct
en_US: meta-llama/llama-3-8b-instruct
zh_Hans: Llama 3 8B Instruct
en_US: Llama 3 8B Instruct
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: meta-llama/llama-3.1-70b-instruct
label:
zh_Hans: meta-llama/llama-3.1-70b-instruct
en_US: meta-llama/llama-3.1-70b-instruct
zh_Hans: Llama 3.1 70B Instruct
en_US: Llama 3.1 70B Instruct
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: meta-llama/llama-3.1-8b-instruct-bf16
label:
zh_Hans: meta-llama/llama-3.1-8b-instruct-bf16
en_US: meta-llama/llama-3.1-8b-instruct-bf16
zh_Hans: Llama 3.1 8B Instruct BF16
en_US: Llama 3.1 8B Instruct BF16
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: meta-llama/llama-3.1-8b-instruct-max
label:
zh_Hans: meta-llama/llama-3.1-8b-instruct-max
en_US: meta-llama/llama-3.1-8b-instruct-max
zh_Hans: "Llama3.1 8B Instruct Max\t"
en_US: "Llama3.1 8B Instruct Max\t"
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: meta-llama/llama-3.1-8b-instruct
label:
zh_Hans: meta-llama/llama-3.1-8b-instruct
en_US: meta-llama/llama-3.1-8b-instruct
zh_Hans: Llama 3.1 8B Instruct
en_US: Llama 3.1 8B Instruct
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: meta-llama/llama-3.2-11b-vision-instruct
label:
zh_Hans: meta-llama/llama-3.2-11b-vision-instruct
en_US: meta-llama/llama-3.2-11b-vision-instruct
zh_Hans: "Llama 3.2 11B Vision Instruct\t"
en_US: "Llama 3.2 11B Vision Instruct\t"
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: meta-llama/llama-3.2-1b-instruct
label:
zh_Hans: meta-llama/llama-3.2-1b-instruct
en_US: meta-llama/llama-3.2-1b-instruct
zh_Hans: "Llama 3.2 1B Instruct\t"
en_US: "Llama 3.2 1B Instruct\t"
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: meta-llama/llama-3.2-3b-instruct
label:
zh_Hans: meta-llama/llama-3.2-3b-instruct
en_US: meta-llama/llama-3.2-3b-instruct
zh_Hans: Llama 3.2 3B Instruct
en_US: Llama 3.2 3B Instruct
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: meta-llama/llama-3.3-70b-instruct
label:
zh_Hans: meta-llama/llama-3.3-70b-instruct
en_US: meta-llama/llama-3.3-70b-instruct
zh_Hans: Llama 3.3 70B Instruct
en_US: Llama 3.3 70B Instruct
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: sophosympatheia/midnight-rose-70b
label:
zh_Hans: sophosympatheia/midnight-rose-70b
en_US: sophosympatheia/midnight-rose-70b
zh_Hans: Midnight Rose 70B
en_US: Midnight Rose 70B
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: mistralai/mistral-7b-instruct
label:
zh_Hans: mistralai/mistral-7b-instruct
en_US: mistralai/mistral-7b-instruct
zh_Hans: Mistral 7B Instruct
en_US: Mistral 7B Instruct
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: mistralai/mistral-nemo
label:
zh_Hans: mistralai/mistral-nemo
en_US: mistralai/mistral-nemo
zh_Hans: Mistral Nemo
en_US: Mistral Nemo
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: gryphe/mythomax-l2-13b
label:
zh_Hans: gryphe/mythomax-l2-13b
en_US: gryphe/mythomax-l2-13b
zh_Hans: Mythomax L2 13B
en_US: Mythomax L2 13B
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: nousresearch/nous-hermes-llama2-13b
label:
zh_Hans: nousresearch/nous-hermes-llama2-13b
en_US: nousresearch/nous-hermes-llama2-13b
zh_Hans: Nous Hermes Llama2 13B
en_US: Nous Hermes Llama2 13B
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: openchat/openchat-7b
label:
zh_Hans: openchat/openchat-7b
en_US: openchat/openchat-7b
zh_Hans: OpenChat 7B
en_US: OpenChat 7B
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: teknium/openhermes-2.5-mistral-7b
label:
zh_Hans: teknium/openhermes-2.5-mistral-7b
en_US: teknium/openhermes-2.5-mistral-7b
zh_Hans: Openhermes2.5 Mistral 7B
en_US: Openhermes2.5 Mistral 7B
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: qwen/qwen-2-72b-instruct
label:
zh_Hans: qwen/qwen-2-72b-instruct
en_US: qwen/qwen-2-72b-instruct
zh_Hans: Qwen2 72B Instruct
en_US: Qwen2 72B Instruct
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: qwen/qwen-2-7b-instruct
label:
zh_Hans: qwen/qwen-2-7b-instruct
en_US: qwen/qwen-2-7b-instruct
zh_Hans: Qwen 2 7B Instruct
en_US: Qwen 2 7B Instruct
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: qwen/qwen-2-vl-72b-instruct
label:
zh_Hans: qwen/qwen-2-vl-72b-instruct
en_US: qwen/qwen-2-vl-72b-instruct
zh_Hans: Qwen 2 VL 72B Instruct
en_US: Qwen 2 VL 72B Instruct
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: qwen/qwen-2.5-72b-instruct
label:
zh_Hans: qwen/qwen-2.5-72b-instruct
en_US: qwen/qwen-2.5-72b-instruct
zh_Hans: Qwen 2.5 72B Instruct
en_US: Qwen 2.5 72B Instruct
model_type: llm
features:
- agent-thought
@@ -1,7 +1,7 @@
model: microsoft/wizardlm-2-8x22b
label:
zh_Hans: microsoft/wizardlm-2-8x22b
en_US: microsoft/wizardlm-2-8x22b
zh_Hans: Wizardlm 2 8x22B
en_US: Wizardlm 2 8x22B
model_type: llm
features:
- agent-thought
@@ -8,7 +8,7 @@ icon_small:
en_US: icon_s_en.svg
icon_large:
en_US: icon_l_en.svg
background: "#eadeff"
background: "#c7fce2"
help:
title:
en_US: Get your API key from Novita AI
@@ -1,3 +1,4 @@
- deepseek-ai/deepseek-r1
- google/gemma-7b
- google/codegemma-7b
- google/recurrentgemma-2b
@@ -0,0 +1,35 @@
model: deepseek-ai/deepseek-r1
label:
en_US: deepseek-ai/deepseek-r1
model_type: llm
features:
- agent-thought
model_properties:
mode: chat
context_size: 128000
parameter_rules:
- name: temperature
use_template: temperature
min: 0
max: 1
default: 0.5
- name: top_p
use_template: top_p
min: 0
max: 1
default: 1
- name: max_tokens
use_template: max_tokens
min: 1
max: 1024
default: 1024
- name: frequency_penalty
use_template: frequency_penalty
min: -2
max: 2
default: 0
- name: presence_penalty
use_template: presence_penalty
min: -2
max: 2
default: 0
@@ -83,7 +83,7 @@ class NVIDIALargeLanguageModel(OAIAPICompatLargeLanguageModel):
def _add_custom_parameters(self, credentials: dict, model: str) -> None:
credentials["mode"] = "chat"
if self.MODEL_SUFFIX_MAP[model]:
if self.MODEL_SUFFIX_MAP.get(model):
credentials["server_url"] = f"https://ai.api.nvidia.com/v1/{self.MODEL_SUFFIX_MAP[model]}"
credentials.pop("endpoint_url")
else:
@@ -0,0 +1,52 @@
model: cohere.command-r-08-2024
label:
en_US: cohere.command-r-08-2024 v1.7
model_type: llm
features:
- multi-tool-call
- agent-thought
- stream-tool-call
model_properties:
mode: chat
context_size: 128000
parameter_rules:
- name: temperature
use_template: temperature
default: 1
max: 1.0
- name: topP
use_template: top_p
default: 0.75
min: 0
max: 1
- name: topK
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
default: 0
min: 0
max: 500
- name: presencePenalty
use_template: presence_penalty
min: 0
max: 1
default: 0
- name: frequencyPenalty
use_template: frequency_penalty
min: 0
max: 1
default: 0
- name: maxTokens
use_template: max_tokens
default: 600
max: 4000
pricing:
input: '0.0009'
output: '0.0009'
unit: '0.0001'
currency: USD
@@ -50,3 +50,4 @@ pricing:
output: '0.004'
unit: '0.0001'
currency: USD
deprecated: true
@@ -0,0 +1,52 @@
model: cohere.command-r-plus-08-2024
label:
en_US: cohere.command-r-plus-08-2024 v1.6
model_type: llm
features:
- multi-tool-call
- agent-thought
- stream-tool-call
model_properties:
mode: chat
context_size: 128000
parameter_rules:
- name: temperature
use_template: temperature
default: 1
max: 1.0
- name: topP
use_template: top_p
default: 0.75
min: 0
max: 1
- name: topK
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
default: 0
min: 0
max: 500
- name: presencePenalty
use_template: presence_penalty
min: 0
max: 1
default: 0
- name: frequencyPenalty
use_template: frequency_penalty
min: 0
max: 1
default: 0
- name: maxTokens
use_template: max_tokens
default: 600
max: 4000
pricing:
input: '0.0156'
output: '0.0156'
unit: '0.0001'
currency: USD
@@ -50,3 +50,4 @@ pricing:
output: '0.0219'
unit: '0.0001'
currency: USD
deprecated: true
@@ -33,7 +33,7 @@ logger = logging.getLogger(__name__)
request_template = {
"compartmentId": "",
"servingMode": {"modelId": "cohere.command-r-plus", "servingType": "ON_DEMAND"},
"servingMode": {"modelId": "cohere.command-r-plus-08-2024", "servingType": "ON_DEMAND"},
"chatRequest": {
"apiFormat": "COHERE",
# "preambleOverride": "You are a helpful assistant.",
@@ -60,19 +60,19 @@ oci_config_template = {
class OCILargeLanguageModel(LargeLanguageModel):
# https://docs.oracle.com/en-us/iaas/Content/generative-ai/pretrained-models.htm
_supported_models = {
"meta.llama-3-70b-instruct": {
"meta.llama-3.1-70b-instruct": {
"system": True,
"multimodal": False,
"tool_call": False,
"stream_tool_call": False,
},
"cohere.command-r-16k": {
"cohere.command-r-08-2024": {
"system": True,
"multimodal": False,
"tool_call": True,
"stream_tool_call": False,
},
"cohere.command-r-plus": {
"cohere.command-r-plus-08-2024": {
"system": True,
"multimodal": False,
"tool_call": True,
@@ -49,3 +49,4 @@ pricing:
output: '0.015'
unit: '0.0001'
currency: USD
deprecated: true

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