Skip to content
Merged
Show file tree
Hide file tree
Changes from 1 commit
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion docs/source/guides/create-customize-workflows.md
Original file line number Diff line number Diff line change
Expand Up @@ -183,7 +183,7 @@ AgentIQ includes several built-in tools (functions) that can be used in any work
aiq info components -t function
```

The current workflow defines a tool to query the [LangSmith User Guide](https://docs.smith.langchain.com/user_guide). This is defined in the `tools` section of the configuration file:
The current workflow defines a tool to query the [LangSmith User Guide](https://docs.smith.langchain.com). This is defined in the `tools` section of the configuration file:
```yaml
functions:
webpage_query:
Expand Down
4 changes: 3 additions & 1 deletion docs/source/references/interactive-models.md
Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,9 @@ limitations under the License.
AgentIQ provides interactive prompt and response Pydantic data models as a way to validate, serialize, and document
data structures to support human input during the execution of an agent workflow.
**Note**: All human in the loop interaction data models are supported by the `aiq serve` command, while the `aiq run`
command **only** supports the {py:mod}`aiq.data_models.interactive.HumanPromptText` data model.
command **only** supports the {py:mod}`aiq.data_models.interactive.HumanPromptText` data model. Ensure WebSocket mode
is enabled by toggling the setting in the top-right corner of the webpage for proper interaction when using this feature
with the front-end user interface.

## How to Use Interactive Prompt and Response Data Models
Start by acquiring an instance of the {class}`aiq.builder.user_interaction_manager.AIQUserInteractionManager` class
Expand Down