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Major Features - API key encryption at rest using Fernet (OS keyring with file fallback) - Prompt Manager: unified UI with template groups, priority ordering, override tracking, response extractors - Scene context history review panel with token budgets and best-fit mode - Multiple concurrent director chats with auto-generated titles - Granular scene state reset dialog - Time passage insert/edit/delete in scene view - Image analysis via OpenAI-compatible and Talemate Client backends - Volatile context placement after scene history for improved prompt caching Improvements - Configurable narrator generation length per narration type - AI Aware conversation mode - Summarizer: custom instructions, writing style inclusion, short line filtering - Anthropic: adaptive thinking support, updated model list (opus-4-5/4-6, haiku-4-5) - Google: gemini-3.1 support - World editor: generate from topic, quick create state reinforcement, reorganized menus - Node editor: promote scene modules to global - Frontend: version mismatch detection, hideable bracket content, required scene name - TTS: improved pause handling, audio tag support for vocal markers (ElevenLabs v3) - Writing style template for AI-generated instructions - Added Kimi.jinja2 LLM prompt template - Option to disable character names in stopping strings - Client response length enforcement options - Graduated token count sliders - Increased summarizer token threshold max Bugfixes - Fix bracket/paren/brace terminators stripped from message ends - Fix colon in conversation causing content loss - Fix "Use as reference" navigating to blank page - Fix avatar regeneration and manual regenerate - Fix conversation agent ignoring generation length - Fix duplicate length instructions with reasoning enabled - Fix trailing newline on message edits - Fix summarize dialogue sending too much context with layered history - Fix layered history inspection and construction issues - Fix empty response handling in summarization - Fix context ID dot notation with dotted character names - Fix recursive retry in focal agent - Fix leading whitespace causing duplicate prepared responses - Fix summarization not stripping ANALYSIS OF lines - Fix template group selection/removal in prompt manager - Fix multiline text in parentheses/brackets parser - Fix determine_character_name resolution - Fix character activate/deactivate desyncing creative menu - Fix character image generation missing context - Fix LMStudio client not sending token limits - Fix Recent Scene images on newer Chromium - Fix sequential reinforcement messages cut off at first linebreak - Fix reinforcement removal not clearing state - Fixes #252, #256, #258 Deprecations - Removed context investigations (replaced by AI-assisted RAG mixin) - Removed deprecated prompt templates (fix-continuity-errors, fix-exposition, etc.) - Removed conversation/edit.jinja2, auto break repetition, CLI reset layered history --------- Co-authored-by: theDTV2 <47825738+theDTV2@users.noreply.github.com>
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!!! note "Supported Versions"
As of Talemate 0.30 the following python versions are supported: 3.10, 3.11, 3.12 or 3.13
Fist, if you have not done so, create a template group to store the template in.
Then select the group you want to add the template to and click the :material-plus: Create Template button.
!!! note "Unwanted Prose Requirement" Unwanted phrases are defined in the writing style that is currently selected in the Scene Settings.
See [Writing Style Templates](/talemate/user-guide/world-editor/templates/writing-style) for more information on how to create a writing style and add unwanted phrases.
!!! abstract "Documentation is a work in progress" Documentation is an ongoing effort and some parts are more complete than others, with some missing entirely. Thanks for your patience, its being worked on!
See the [Node Editor - Crash Course](/talemate/user-guide/howto/infinity-quest-dynamic/) tutorial for an extensive introduction to the node editor.
!!! success "Save!" :material-content-save: Save the scene project.
!!! success "Save!" :material-check-circle-outline: Save the module.
Response Length Enforcement
Controls whether token limits and/or human-readable response length instructions are sent with prompts. Defaults to Limit tokens and send instructions.
See Response Length Enforcement for details.