Chat Channel: Difference between revisions
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===LLM=== | ===LLM=== | ||
List of [[Large Language Model (LLM)]]s available to the Chat Channel Agents: | List of open source [[Large Language Model (LLM)]]s available to the Chat Channel Agents: | ||
* '''Gemma4 (Fast)''': Gemma4 model{{ref|Gemma4}} optimized for fast reactions. | * '''Gemma4 (Fast)''': 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 13:26, 1 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 Model (LLM)s available to the Chat Channel Agents:
- Gemma4 (Fast): 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).
| Attribute | Unit | Description | Default value |
|---|---|---|---|
| TEMPERATURE | number | Temperature controls the randomness of text that is generated by LLMs during inference. A value >1 is more creative, <1 is more strict behavior. | 1 |
| TOP_P | number | Top-P sampling selects a group of LLM tokens whose cumulative probability is at least P. | 0.95 |
| TOP_K | number | Top-K sampling limits the LLM model to choosing from the K most likely tokens at each step. | 64 |
| NUM_PREDICT | number | The maximum amount of tokens the LLM can predict, value is used to stop the LLM at a certain point. | 5000 |
| TIMEOUT_SEC | sec | The maximum amount of time the LLM can take, value is used to stop the LLM at a certain point. | 600 |
| THINK_MODE | boolean | With think-mode enabled the LLM returns both the reasoning and final answer. | 1 |
| CACHEABLE | boolean | Debug value, when deactivated the LLM Tools can no longer cache wiki pages. | 1 |
| PROJECT_INFO | boolean | Whether to include some basic info about the project that is accessible by the LLM. | 1 |
API Endpoints
References
- ↑ Gemma4 ∙ Found at: https://deepmind.google/models/gemma/gemma-4/ ∙ (last visited: 2026-06-29)