Independent console for Open-LLM-VTuber teams

Open LLM VTuber install readiness, remote HTTPS, and deployment receipts.

VTuber Space Console turns an Open-LLM-VTuber setup into a scored workflow: environment checks, Ollama reachability, Docker risk, HTTPS and WSS routing, Live2D model readiness, MCP configuration, and error diagnostics in one inspectable receipt.

View pricing plans

Built for users of the open source project. This service is independent and does not imply official affiliation.

Input

OS, target host, LLM backend, ASR/TTS choice, remote access needs, Live2D model path, and logs.

Processing

Checks official workflow assumptions, known failure points, security posture, and deployability.

Output

A readiness score, risk list, copyable plan, and paid receipt for implementation handoff.

Why this workflow is worth paying for

Open-LLM-VTuber is powerful because it combines local LLMs, speech recognition, speech synthesis, Live2D, browser permissions, desktop modes, and optional MCP tools. That same flexibility creates setup risk. The console turns scattered setup choices into a single reviewable plan before a creator, lab, or agency spends time on trial and error.

  • Catch incomplete clones and missing frontend submodules.
  • Decide whether Docker is a fit for your GPU and storage.
  • Validate HTTPS and WSS before remote microphone access fails.
  • Map Ollama, API, ASR, TTS, MCP, and Live2D choices into a handoff receipt.

Source-aware checks

The workflow is grounded in the upstream project shape: Python backend, web and desktop clients, multi-backend LLM/ASR/TTS configuration, Live2D model dictionaries, MCP server config, and remote browser security requirements.

Open upstream repositoryOpen upstream documentation

Pricing

Choose a deployment receipt plan.

Monthly prices are shown in USD. Annual checkout is selected by default and is 50% off.

Starter

For a single local install or first troubleshooting pass.

$29/month USD

Annual checkout is 50% off: $174 per year.

  • Readiness scanner
  • Install and Ollama checks
  • One export receipt
  • Email support

Studio

Recommended

For creators and small teams shipping a reliable companion setup.

$99/month USD

Annual checkout is 50% off: $594 per year.

  • Everything in Starter
  • Remote HTTPS and WSS plan
  • Docker and MCP receipts
  • Live2D model inspector
  • Priority support

Fleet

For agencies and labs running multiple characters or hosted workspaces.

$249/month USD

Annual checkout is 50% off: $1494 per year.

  • Everything in Studio
  • Multi-workspace receipts
  • Team review dashboard
  • Change monitoring
  • Private onboarding

Workflow pages

Useful paths for real setup intent.

Open LLM VTuber install readiness checkCheck your Open-LLM-VTuber install plan before you spend hours on Git, FFmpeg, uv, Ollama, ASR, TTS, and frontend submodules.Open LLM VTuber Docker deployment plannerPlan an Open-LLM-VTuber Docker build with GPU, NVIDIA Container Toolkit, storage, and remote HTTPS requirements in one receipt.Open LLM VTuber remote deployment and HTTPS checkCheck whether your Open-LLM-VTuber remote deployment can safely serve microphone, camera, screen, HTTP, HTTPS, and WSS access.Open LLM VTuber Ollama connection checkValidate an Open-LLM-VTuber Ollama setup with model names, localhost reachability, proxy bypass, latency, and fallback API choices.Open LLM VTuber MCP configuration builderBuild an Open-LLM-VTuber MCP server plan for mcp_servers.json, conf.yaml, tool instructions, and tool-calling model compatibility.Open LLM VTuber Live2D model inspectorInspect a Live2D model path for Open-LLM-VTuber with model_dict.json fields, emotion mapping, motion groups, scale, and remote URL risks.Error calling the chat endpoint diagnosticDiagnose the Open-LLM-VTuber Error calling the chat endpoint message with LLM API, Ollama, model name, rate limit, and proxy checks.Open LLM VTuber Detail Not Found fixFix the Open-LLM-VTuber Detail Not Found first-run error by checking frontend submodules, release downloads, clone flags, and update state.AI VTuber open source deployment optionsCompare open source AI VTuber deployment paths for local privacy, Live2D or VRM avatars, voice, streaming, MCP tools, and hosted readiness.Neuro-sama alternative open source stack plannerPlan an open source Neuro-sama-style stack with voice, LLM, memory, Live2D or VRM avatar, chat ingestion, tools, and deployment risk checks.

Related AI workflow reference

Teams comparing workflow plans with launch and market assumptions can also review MiroFish AI Simulator, a companion reference for simulation-style product reasoning.