Chat Channel: Difference between revisions
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* '''TQL & Combo Generator''': Creates TQL queries and formulas for Combo Overlays. | * '''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. | * '''Project Coder''': Can edit data in your Project, by executing TQL queries or interact with project API endpoints. | ||
===MCP Tools=== | |||
List of available 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 [[Endpoints|API Endpoint]]. | |||
* '''validate-query''': Validate Tygron [[TQL]] Query. | |||
* '''execute-query''': Execute [[TQL]] Query in your connected Project [[session]]. | |||
* '''execute-endpoint''': Execute [[Endpoints|API Endpoint]] in your connected Project [[session]]. | |||
===Attributes=== | ===Attributes=== | ||
Revision as of 13:12, 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.
MCP Tools
List of available 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 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 |