AI Chat Connection

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Raynet One > 2026.4 > User Guide > System management > Manage your data sources > Connection Details 

AI Chat Connection

The AI Chat connection links Raynet One to the AI provider that powers the AI assistant Raynée. Without a configured and activated AI Chat connection, the AI Chat interface remains available but cannot generate responses.

 

For general information on setting up and editing connections, see Connection Details and Set up a connection.

 

Settings

 

Go to Configuration > Connections > AI+Chat and click Set up... on the AI Chat card, or Edit... if it is already configured. Enter the following settings:

 

Setting

Required

Description

Service URL

Yes

The URL of the AI service endpoint. It must be a valid URL reachable from the Raynet One server.

API key

Yes

The credential used to authenticate requests to the AI provider.

Model

Yes

The name of the AI model used to process requests and generate responses, for example gpt-5.1.

 

Advanced settings

 

The following values are part of the Edit... dialog of the card. In the setup wizard, they appear in the Advanced settings step when you select Edit default settings. With Use default settings, the defaults below apply.

 

Setting

Default

Allowed values

Description

Timeout (ms)

360000

300000 and higher

How long Raynet One waits for a response from the AI provider before the attempt fails.

Maximum attempts

2

1 to 5

The maximum number of attempts made for an AI provider request.

Advanced tracing

No

Yes / No

When enabled, the activity timeline of a chat turn additionally shows the handoffs between agents and the skills they consult. When disabled, the timeline shows only the thoughts, queries and tool calls of a turn.

 

Reasoning

 

Reasoning settings control whether the assistant displays its reasoning steps to users and, when enabled, how much reasoning effort the model applies.

 

•Reasoning Enabled (default: enabled): When enabled, users see a Thinking... indicator while the assistant processes a request, and can expand the resulting Thinking section to review the assistant's reasoning steps. When disabled, no reasoning output is shown and the model processes requests without applying extended reasoning.

•Reasoning Effort (default: Medium): Controls the depth of reasoning the model applies. Available values are Low, Medium and High. Higher effort levels produce more thorough reasoning traces but may increase response time. This setting has no effect when Reasoning Enabled is disabled.

 

Deployment parameters

 

The following parameters can be set in the environment section of the server service in your docker-compose.yml. They provide the default values of the connection; afterwards, the connection is managed in the user interface. Parameters without a default must be set for the connection to work.

 

Parameter

Default

Description

AiConfig__Url

-

The AI service endpoint.

AiConfig__ApiKey

-

The credential used to authenticate requests to the AI provider.

AiConfig__Model

gpt-5.1

The AI model used to process requests.

AiConfig__Timeout

360000

Request timeout in milliseconds. Values below 300000 are replaced by the default.

AiConfig__MaxAttempts

2

Maximum number of attempts per request. Values outside 1 to 5 are replaced by the default.

 

The following optional parameters are only available as deployment settings:

 

Parameter

Default

Description

AiConfig__CompactionEnabled

true

Compacts the context of a long conversation once it exceeds the compaction threshold, so that chats with many tool calls do not run out of context.

AiConfig__CompactionTokenThreshold

80000

The context size in tokens above which a conversation is compacted.

AiConfig__RateLimitMaxWaitSeconds

90

How long, in seconds, a request waits for the model's rate limit to reset before the error is returned. 0 disables the wait.

AiConfig__MaxToolIterationsPerRequest

120

The maximum number of tool-call rounds one request may take.

AiConfig__IncludeDetailedToolErrors

true

Passes the actual error message of a failed tool call to the model, so that the assistant can report what failed.

AiConfig__CheckpointIndexMaxEntries

24

The maximum number of conversation checkpoints kept per chat.

AiConfig__CheckpointTtlHours

24

How long, in hours, conversation checkpoints are kept.

 

For the effect of the AI Chat on users, see AI Chat and Chat Management and Context Isolation.