Sentences
Split text into a list of sentences (each ends on . ! ? … or a new line). Feed it through For-each to send an LLM reply to TTS one sentence at a time, so speech starts sooner.
Pulled. It runs when a node that fires reads its output, once per turn.
Inputs
Section titled “Inputs”| Port | Type | Notes |
|---|---|---|
text |
text |
Outputs
Section titled “Outputs”| Port | Type | Notes |
|---|---|---|
out |
list |
Example
Section titled “Example”Splits a reply into sentences. Sentences into For-each into TTS makes one clip per sentence, so the first clip is ready sooner than one clip for the whole reply.
More in Data
Section titled “More in Data”- Build JSON: Build a JSON object from wired inputs: each input’s port name becomes a key holding that input’s value.
- Chunk: Split text into overlapping chunks to embed and store.
- Compute: Derive a value from an expression over the wired inputs.
- Format List: Turn a json list into text: render each item with a {field} template and join with a separator (one per line by default).
- Get: Read the value at a dotted or bracket path (user.name, items.0.id).
- List: Assemble wired values into one list (the reverse of For-each).
- Parse: Parse JSON text into a structured value.
- Split JSON: Split a json object onto one output per configured key (the reverse of Build JSON): each key routes its value.
- Stringify: Turn a value into JSON text, indented two spaces.
- Tag Parse: Read inline [bracket] tags in text: emit a mood (the highest-priority mood tag), the display text with its tags shown as emoji, cut short or removed, and an action.
- Template: Assemble text from {tag} pipes.