Chat Channel: Difference between revisions
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===LLM=== | ===LLM=== | ||
List of open source [[Large Language Model (LLM)|Large Language Models]] available to the Chat Channel Agents: | List of open source [[Large Language Model (LLM)|Large Language Models]] available to the Chat Channel Agents: | ||
* '''Gemma4 ( | * '''Gemma4 (Speed)''': Gemma4 model{{ref|Gemma4}} optimized for fast reactions. | ||
* '''Gemma4 (Quality)''': Gemma4 model optimized for quality needed for coding and [[TQL]]. | * '''Gemma4 (Quality)''': Gemma4 model optimized for quality needed for coding and [[TQL]]. | ||
Revision as of 19:05, 10 July 2026
Chat Channels define the conversation with AI Agents. Each channel can have multiple Chat Messages.
AI Agents
The Tygron Platform currently has several default AI Agent channels:
- WIKI Assistant: Searching the Tygron Wiki for information on features, configurations and guides.
- TQL & Combo Generator: Creates TQL queries and formulas for Combo Overlays.
- Project Coder: Can edit data in your Project, by executing TQL queries or interact with project API endpoints.
LLM
List of open source Large Language Models available to the Chat Channel Agents:
- Gemma4 (Speed): Gemma4 model[1] optimized for fast reactions.
- Gemma4 (Quality): Gemma4 model optimized for quality needed for coding and TQL.
MCP Tools
List of available Model Context Protocol (MCP) Tools for the Chat Channel Agents:
- get-summary: Get AI Summary on a WIKI subject.
- search-page: Search the WIKI Pages.
- get-page: Get specific WIKI Page.
- validate-endpoint: Validate Tygron API Endpoint.
- validate-query: Validate Tygron TQL Query.
- execute-query: Execute TQL Query in your connected Project session.
- execute-endpoint: Execute API Endpoint in your connected Project session.
Attributes
Chat Channel attributes can be used to guide the behavior of the underlying Large Language Model (LLM).
API Endpoints
References
- ↑ Gemma4 ∙ Found at: https://deepmind.google/models/gemma/gemma-4/ ∙ (last visited: 2026-06-29)