এজেন্ট ও মাল্টি-এজেন্ট

1flowbase

taichuy/1flowbase

An open-source AI gateway that allows local agent clients to publish fusion-style multi-model workflows as OpenAI and Claude-compatible virtual models, providing full observability into traces, tokens, latency, and costs.

অফিশিয়াল রিপোজিটরি খুলুন ↗ প্রকল্পের হোমপেজ ↗
★ 259তারকা
⑂ 19ফর্ক
43খোলা সমস্যাগুলো
Rustভাষা
Apache-2.0লাইসেন্স
Q89সম্পাদকীয় স্কোর

প্রকল্পের স্ক্রিনশট

1flowbase-এর স্ক্রিনশট 1flowbase-এর স্ক্রিনশট

ওভারভিউ

1flowbase bridges the gap between LLM gateways and workflow builders. Instead of simply routing a request to a single model, it composes multiple model and tool nodes into a workflow-backed virtual model. Local AI agents and SDKs call a single standard model endpoint, while 1flowbase executes a complex workflow behind the scenes—such as mounting vision models for screenshots, running a fusion-style multi-model review panel, or verifying output structures—and returns the final answer with complete execution logs, tool callback traces, and token consumption metrics.

প্রধান বৈশিষ্ট্যসমূহ

  • Visual workflow editor
  • Multi-node workflow orchestration
  • Virtual model endpoint publishing
  • OpenAI Responses API compatibility
  • OpenAI Chat Completions API compatibility
  • Claude-compatible Messages API support
  • Streaming response support
  • Mounted LLM tools for multimodal and branch-model workflows
  • Fusion workflow template
  • Execution logs and tool callback traces
  • Application-level token consumption statistics
  • Prompt and model configuration version history

প্রয়োজনীয়তা, ইনস্টলেশন ও দ্রুত শুরু

Linux/macOS: curl -fsSL https://raw.githubusercontent.com/taichuy/1flowbase/main/scripts/shell/docker-deploy.sh | sh

Windows PowerShell: irm https://raw.githubusercontent.com/taichuy/1flowbase/main/scripts/powershell/docker-deploy.ps1 | iex

Windows CMD: powershell -NoProfile -ExecutionPolicy Bypass -Command "irm https://raw.githubusercontent.com/taichuy/1flowbase/main/scripts/powershell/docker-deploy.ps1 | iex"

ব্যবহার

After deployment, access the frontend at http://127.0.0.1:3100. Use the visual workflow editor to build a multi-model workflow. Once built, publish the workflow as a virtual model endpoint using the OpenAI or Claude-compatible APIs. Configure your local agent client (e.g., Claude Code, Cline) to point to the published endpoint. The client will interact with the endpoint as if it were a standard model, while 1flowbase runs the workflow behind the scenes. You can then inspect execution logs, tool callback traces, and token consumption directly in the 1flowbase dashboard.

মডেলের সামঞ্জস্যতা ও ব্যবহারের ক্ষেত্র

Compatible with models accessible via OpenAI Responses, OpenAI Chat Completions, and Claude-compatible Messages APIs. Specific models mentioned in workflows include GLM-5.2, DeepSeek, GLM-5V-Turbo, Gemini, and GPT vision models.

লাইসেন্স ও ঝুঁকি-সংক্রান্ত নোট

Apache-2.0

Editorial verification 2026-08-02: repository URL, owner, description, license and repository statistics were reviewed. License metadata: Apache-2.0. README was fetched for the channel draft; re-check repository dependencies, releases and model terms before production use.

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