Chat Channel: Difference between revisions
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===LLM=== | ===LLM=== | ||
List of [[Large Language Model (LLM)]] | List of open source [[Large Language Model (LLM)|Large Language Models]] available to the Chat Channel Agents: | ||
* '''Gemma4 (Fast)''': Gemma4 model 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]]. | ||
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* '''execute-endpoint''': Execute [[Endpoints|API Endpoint]] in your connected Project [[session]]. | * '''execute-endpoint''': Execute [[Endpoints|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)]]. | Chat Channel attributes can be used to guide the behavior of the underlying [[Large Language Model (LLM)]]. | ||
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|api=*[[Api session items chatchannels]] | |api=*[[Api session items chatchannels]] | ||
*[[Api session event editor chatchannel]] | *[[Api session event editor chatchannel]] | ||
|references= | |||
<references> | |||
{{ref|Gemma4 | |||
|name=Gemma4 | |||
|author= | |||
|page= | |||
|source= | |||
|link=https://deepmind.google/models/gemma/gemma-4/ | |||
|lastvisit=2026-06-29 | |||
}} | |||
</references> | |||
}} | }} | ||
[[Category:Items]][[Category:Chat]] | [[Category:Items]][[Category:Chat]] | ||
Latest revision as of 13:27, 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 Models 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)