* batch node (#6732) * batch node * docs: add local code quality standards and style guides for automated review * refactor: remove enforced minimum for parallel concurrency, simplify edge handling in task runtime context, and fix loop output mapping * feat: auto-infer and sync valueType for parallel loop input and output based on referenced array source * fix: refactor parallelRun output type synchronization and improve sub-workflow error handling in dispatch service * feat: enforce parallel concurrency limits and validate against workflow loop constraints * feat: implement retry mechanism for parallel workflow tasks with usage tracking per attempt * fix review * perf: use function * refactor: abstract nested node logic into useNestedNode hook and update parallelRun icon/service logic * fix: type import * refactor: update ParallelRunStatusEnum and i18n labels for improved status clarity * feat: parallel run details and input/output display to chat response modal and service dispatch * fix: config limit error * refactor: optimize parallel run task execution, fix point accumulation, and improve error handling for sub-workflows * fix: include totalPoints in parallel task results * refactor: centralize nested input injection and point safety utilities for workflow dispatchers * test: add unit tests for safePoints utility function * refactor: update parallel workflow runtime types and clean up docstring placement in dispatch utils * fix: include all runtime nodes in parallel execution to ensure variable reference accessibility * refactor: update pushSubWorkflowUsage signature to use object parameter for improved consistency --------- Co-authored-by: DigHuang <114602213+DigHuang@users.noreply.github.com> * feat(s3): add proxy transfer mode with tokenized upload/download (#6729) * feat(s3): add proxy transfer mode with tokenized upload/download * wip: switch to proxy mode for upload progress * fix: office mime types * fix(s3): upload MIME validation, multer whitelist, API error status - Treat AVI/MPEG mime aliases (incl. video/mp1s vs video/mpeg) as matching - Optional allowedExtensions on multer for dataset images and localFile - Map S3/business errors to 4xx in jsonRes where appropriate - Align presign max size with team plan; fix dataset import size UX - Add upload validation tests Made-with: Cursor * fix: show clear message when upload frequency limit is exceeded - Reject ERROR_ENUM.uploadFileIntervalLimit from authFrequencyLimit instead of Mongo doc - Add i18n for upload_file_interval_limit (zh-CN/en/zh-Hant) Made-with: Cursor * fix file token validation and upload mime checks * fix: test * fix(s3): treat m4a audio/mp4 and audio/x-m4a as equivalent - Add MIME equivalence group for AAC/M4A container mismatch (mime-types vs file-type) - Add upload validation test for minimal ftyp/M4A buffer - Test env: keep FILE_TOKEN_KEY in vitest test.env and test/setup.ts (drop loadTestEnv file) Made-with: Cursor * fix(chat): 调试区文件类型与编辑态一致,并修复 accept 在 WebKit 下不更新 - ChatTest: 用 getAppChatConfig + getGuideModule 合并画布引导节点与 chatConfig - useChatTest: 依赖 fileSelectConfig 序列化与 chatConfig,避免深层变更未触发预览更新 - useSelectFile: 用 useCallback + input key 替代 useMemoizedFn,确保 accept 变更后重建 input Made-with: Cursor * fix: invalid request * feat: prompt inject (#6757) * feat: resume chat stream (#6722) * fix: openapi schema issue while creating openapi json * feat: resume chat stream * wip: chat status and read status * feat: sync chat side bar status * fix: allow reassignment of variables in chatTest handler Made-with: Cursor * feat(chat): stream resume hardening, resume modules in @fastgpt/service, stale generating cron - Move stream resume mirror + resumeStatus into packages/service; update API imports - chatTest: ensurePendingChatRoundItems, default responseChatItemId; zod default import for client - useChatTest + HomeChatWindow: enableAutoResume and sync init chatGenerateStatus - ChatContext: safe no-op defaults without provider - Cron: clean MongoChat stuck in generating >30min; timer lock cleanStaleGeneratingChat Made-with: Cursor * fix(chat): address stream-resume PR review (zod/mongoose enum, legacy status, upsert, UI race) - Zod: use z.nativeEnum(ChatGenerateStatusEnum); mongoose chatGenerateStatus enum as [0,1,2] only - Init APIs: default missing chatGenerateStatus to done before read/unread logic - ensurePendingChatRoundItems: unique index + upsert; rename ChatGenerateStatusEnum - ChatBox auto-resume: guard by chatId; sidebar sync via targetChatId - Tests: chat history/feedback APIs pass with schema fixes Made-with: Cursor * fix(chat): expose resume at /api/v2/chat/resume; openapi + review tidy - Move handler from v1/stream to v2/chat/resume (pairs with v2 completions + Redis mirror) - Update fetch, OpenAPI AIPath, comments; remove slim projects/app global chat api - getHistoryStatus default chatGenerateStatus; team init + chatTest notes; ChatItem tweak Made-with: Cursor * fix(chat): fix resume JSON parse catch shadowing; drop unused resumeChatStream Made-with: Cursor * docs(chat): comment closed+stream mirror write path in workflow dispatch Made-with: Cursor * refactor: unify resumable stream mirroring * fix: keep v1 chat completions out of resume flow * refactor: make prepared chat rounds transactional * fix: handle resume stream terminal errors * fix: rerank max token * feat(workflow): extend variable update node with Number/Boolean/Array operations (#6752) * feat(workflow): extend variable update node with Number/Boolean/Array ops * feat: math operator icons and refactor variable update renderers for improved layout and consistency * chore(workflow): clean up variable update types and restore icon cleanup * feat: add test * fix:md_ascii_bug (#6755) * md_ascii_bug * md_ascii_bug * md_ascii_bug * md_ascii_bug * md_ascii_bug * perf: test --------- Co-authored-by: archer <545436317@qq.com> * doc * del dataset * perf: date auto coerce * doc * add test * perf: channel setting * doc * fix: chat resume stream (#6759) * refactor(api): move stream resume to /api/core/chat/resume Relocate resume handler from pages/api/v2 to pages/api/core, update OpenAPI paths, frontend streamResumeFetch URL, tests, and comments. Made-with: Cursor * fix: remove stray conflict markers; use z.nativeEnum for chatGenerateStatus Made-with: Cursor * fix: use enum instead of nativeEnum * fix(chat): address resume review suggestions * fix(chat): require sse when resuming generating chats * revert(chat): keep chatitem dataId index non-unique * fix: ts * fix doc * fix(chat): gate stream resume mirror by header (#6760) * fix: remove stray conflict markers; use z.nativeEnum for chatGenerateStatus Made-with: Cursor * fix: use enum instead of nativeEnum * fix(chat): address resume review suggestions * fix(chat): require sse when resuming generating chats * feat(chat): gate stream resume mirror by header * refactor(chat): decouple resume mirror header parsing * perf: dataset queue * fix: multipleselect * perf: workflow bug * doc * doc * perf: deploy yml;fix: child nodes watch * adapt embedding model defaultconfig * install shell * add mcp zod check * feat: http tool zod schema * Feat/batch UI (#6763) * feat: aggregate parallel run results into task-specific virtual nodes and update UI to support i18n arguments for module names * style: update workflow node card padding and table styling for improved layout consistency * feat: implement parallel run workflow node with documentation and i18n support * style(modal): WholeResponseModal UI and layout styling * chore: improve chat resume UX (#6764) * fix: remove stray conflict markers; use z.nativeEnum for chatGenerateStatus Made-with: Cursor * fix: use enum instead of nativeEnum * fix(chat): address resume review suggestions * fix(chat): require sse when resuming generating chats * feat(chat): gate stream resume mirror by header * refactor(chat): decouple resume mirror header parsing * feat: improve stream resume fallback * feat: block duplicate chat generation * feat: polish resume unavailable recovery * test: stabilize resume stream timeout * fix: harden resume wait flow * fix: get mcp tool raw schema * style: update UI styling and layout for LLM request detail and response modals * perf: http tool * fix: test * fix: http raw schema * fix: test * deploy yml * deploy yml --------- Co-authored-by: DigHuang <114602213+DigHuang@users.noreply.github.com> Co-authored-by: Ryo <whoeverimf5@gmail.com> Co-authored-by: YeYuheng <57035043+YYH211@users.noreply.github.com>
FastGPT
English | 简体中文 | Bahasa Indonesia | ไทย | Tiếng Việt | 日本語
FastGPT is an AI Agent building platform that provides out-of-the-box capabilities for data processing and model invocation. It also enables workflow orchestration through Flow visualization, allowing you to achieve complex application scenarios!
https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
Quick Start
You can quickly start FastGPT using Docker. Run the following command in your terminal and follow the prompts to pull the configuration.
# Run the command to pull the configuration file
bash <(curl -fsSL https://doc.fastgpt.cn/deploy/install.sh)
# Start the service
docker compose up -d
After fully started, you can access FastGPT at http://localhost:3000. The default account is root and the password is 1234.
If you encounter any issues, you can view the complete Docker deployment tutorial
🛸 Usage
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Cloud Version
If you don't need private deployment, you can directly use our cloud service at: fastgpt.io -
Community Self-Hosted Version
You can quickly deploy using Docker or use Sealos Cloud to deploy FastGPT with one click. -
Commercial Version
If you need more complete features or in-depth service support, you can choose our Commercial Version. In addition to providing complete software, we also offer implementation guidance for specific scenarios. You can submit a commercial consultation.
💡 Core Features
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1 Application Orchestration
- Planning Agent mode.
- Dialogue workflow, plugin workflow, including basic RPA nodes.
- User interaction
- Bidirectional MCP
- Assisted workflow generation
2 Application Debugging
- Knowledge base single-point search testing
- Reference feedback during conversation with edit and delete capabilities
- Complete call chain logs
- Application evaluation
- Advanced orchestration DeBug mode
- Application node logs
3 Knowledge Base
- Multi-database reuse and mixing
- Chunk record modification and deletion
- Support for manual input, direct segmentation, QA split import
- Support for txt, md, html, pdf, docx, pptx, csv, xlsx (more can be PR'd), support for URL reading & CSV batch import
- Hybrid retrieval & reranking
- API knowledge base
- RAG module hot-swapping
4 OpenAPI Interface
- Completions interface (aligned with GPT chat mode)
- Knowledge base CRUD
- Dialogue CRUD
- Automated OpenAPI interface
5 Operations Features
- Login-free sharing window
- One-click Iframe embedding
- Unified dialogue record review with data annotation
- Application operation logs
6 Others
- Visual model configuration.
- Voice input and output support (configurable)
- Fuzzy input hints
- Template marketplace
💪 Our Projects & Links
- Quick Start Local Development
- OpenAPI Documentation
- FastGPT-plugin
- AI Proxy: Model Aggregation Load Balancing Service
- Laf: Quick 3-Minute Access to Third-Party Applications
- Sealos: Quick Cluster Application Deployment
🌿 Third-party Ecosystem
- AI Proxy: Large Model Aggregation Service
- SiliconCloud - Open Source Model Online Experience Platform
- PPIO: One-click Call to Cost-effective Open Source Model API and GPU Containers
🏘️ Community
Join our Feishu group:
🤝 Contributors
We warmly welcome contributions in various forms. If you're interested in contributing code, check out our GitHub Issues and show us your brilliant ideas!
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🌟 Star History
License
This repository follows the FastGPT Open Source License.
- Commercial use as backend services is allowed, but SaaS services are not permitted.
- Any commercial services without commercial authorization must retain the relevant copyright information.
- Please see FastGPT Open Source License for full details.
- Contact: Dennis@sealos.io, View Commercial Pricing







