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Local coding agent integration.
Config generator
Central management for models, system, language, and users.
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Start with a task. Advanced settings stay out of the way until you need them.
Basic application settings.
Reopen the guided assistant or preview optional model presets. Your normal configuration stays under Models, Response modes, and Prompt Studio.
Walk through provider, model, response modes, prompt, and speech in four focused steps.
These are suggested starting values, not a provider list. Every OpenAI-compatible API can be configured without a template.
A provider hosts an OpenAI-compatible API. Add the models available through that connection underneath it.
Connection details belong to the provider; display names and model IDs belong to its models.
These are the understandable choices users see—not model-specific implementation details.
Names and descriptions appear in the composer. A mode can force a specific model.
Choose a model, decide how ChatTLLX should assemble its instructions, and write the assistant behavior in plain language.
ChatTLLX adds its maintained tool, file, and artifact instructions around your prompt.
Most instances do not need these. Open a mode only when its behavior must differ from the model defaults above.
Choose where voice recordings are transcribed. Users only see the microphone when transcription is available.
You can change this later without touching Compose files.
The model is downloaded on first use and kept in the persistent model cache.
Changing the model needs no container restart. The next transcription loads the selected model.
ChatTLLX sends a standard multipart request to /v1/audio/transcriptions.
The microphone is hidden for users and the optional local Whisper container stays stopped.
These limits apply to both local and upstream transcription.
Visualizations, global tool switches, and API access.
Install verified releases with an encrypted backup, health checks, and automatic rollback.
Web updates require the restricted ChatTLLX host operator installed by the Compose installer.
Manage reusable skills.
Create, edit, and enable skills.
System health checks.
Checks security-sensitive configuration and service health without reading user content.
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Encrypted backups.
Create and restore encrypted application snapshots.
No backups yet.
Aggregated token usage for the entire system.
Input is the complete prompt. Cache reads are a subset of input; reasoning is a subset of output.
Only system-wide aggregates are returned. Account identities and individual usage remain private.
Review and edit the installed interface languages.
Manage users.
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Customize TLLX to your needs.