Agenten & Multi-Agenten

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.

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★ 257Sterne
⑂ 19Forks
24Offene Issues
RustSprache
Apache-2.0Lizenz
Q@project.QualityScoreRedaktionelle Bewertung

Projekt-Screenshots

Screenshot von 1flowbase Screenshot von 1flowbase

Übersicht

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.

Wichtige Funktionen

  • 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

Voraussetzungen, Installation und Schnellstart

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"

Nutzung

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.

Modellkompatibilität und Anwendungsfälle

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.

Lizenz- und Risikohinweise

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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Not stated in the repository metadata

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