Chat Channel: Difference between revisions

Revision as of 15:00, 29 June 2026

Chat Channels define the conversation with AI Agents. Each channel can have multiple Chat Messages.

Chat Channel attributes can be used to guide the behavior of the underlying LLM Neural Network.

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
THINK_MODE	boolean	With think-mode enabled the LLM returns both the reasoning and final answer.	1
PROJECT_INFO	boolean	Whether to include some basic info about the project that is accessible by the LLM.	1

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 Chat Channel attributes can be used to guide the behavior of the underlying LLM [[Neural Network]].
-{{chat attributes|suppresscategory=true|allowselflink=true|
+{{LLM attributes|suppresscategory=true|allowselflink=true|
-{{:temperature (Chat Attribute)}}
+{{:temperature (LLM Attribute)}}
-{{:top_p (Chat Attribute)}}
+{{:top_p (LLM Attribute)}}
-{{:top_k (Chat Attribute)}}
+{{:top_k (LLM Attribute)}}
-{{:num_predict (Chat Attribute)}}
+{{:num_predict (LLM Attribute)}}
-{{:timout_sec (Chat Attribute)}}
+{{:timout_sec (LLM Attribute)}}
-{{:think_mode (Chat Attribute)}}
+{{:think_mode (LLM Attribute)}}
-{{:cachable (Chat Attribute)}}
+{{:cachable (LLM Attribute)}}
-{{:project_info (Chat Attribute)}}
+{{:project_info (LLM Attribute)}}
 }}