POST /v1/ai/workflow/chat/stream
Issue a caddie-v3 chat session (Socket.IO). Returns sessionToken + socketUrl.
POST
/v1/ai/workflow/chat/stream
Issue a caddie-v3 chat session (Socket.IO). Returns sessionToken + socketUrl.
Request Body required
Chat request parameters
application/jsonOne of:
Option 1
Option 2
agentVersion
string
Optional - agent version toggle; "v3" routes to the caddie service (open to every org)
Enum:
v1, v2, v3, bothapiKeyOverride
string
Optional - override the LLM API key for this request (eval/testing use only)
conversationId
string
Stable conversation identifier (generated client-side, persists across session→workflow transition)
definition
object
Definition is the inline workflow graph to analyze. Same shape as a
saved workflow's definition. Unlike the ephemeral-run endpoint there
is no trigger restriction — analysis is read-only and method-agnostic.
blockExpansions
object
Set on run snapshots only (not workflow DB)
inputSchema
object[]
Array of:
description
string
key
string
required
boolean
type
string
"string", "number", "boolean", "object", "array"
nodes
object
REQUIRED
sensitivePropKeys
string[]
Legacy: kept for old runs; no longer populated for new workflows
Array of:
triggerNodeIds
string[]
TriggerNodeIDs lists the node IDs that are trigger (root) nodes. Every
workflow declares this — single-trigger workflows ship ["root"] (the
legacy node id), multi-trigger workflows list every trigger node id.
Treating single-trigger as a forest-of-1 removes the two-path branching
throughout the BE + FE; older rows without the field are backfilled by
migration 000282 and the field-missing path stays as a read-side safety
net (see FindTriggerNodeIDs) but is no longer exercised by saves.
"root" is also a runtime alias for "the trigger that fired this run" —
{{root.X}} variable references resolve to the firing trigger regardless
of which trigger fired. Don't repurpose the literal "root" as a trigger
id on a multi-trigger workflow.
Array of:
variableDefs
object[]
VariableDefs is a snapshot of the workflow's declared variables at run
creation time. The canonical source lives on the workflows row
(Workflow.VariableDefs column). Snapshotted into the run definition
so the worker can resolve {{$vars.x}} lookups and route variable-action
writes to the right scope without an extra DB round trip.
Array of:
default
unknown
description
string
lifetime
string
Enum:
persist, resetname
string
type
string
Enum:
number, text, boolean, list, objectdescription
string
Optional - for generating new workflow
images
object[]
Optional - images attached to the message (base64 for LLM, IPFS for storage)
Array of:
base64
string
ipfsUrl
string
lastEventIndex
integer
Last received event index for replay (reconnection)
message
string
Optional on reconnect, required for new sessions
modelOverride
string
Optional - override the LLM model for this request (eval/testing use only)
name
string
Optional - for generating new workflow
preferredMode
string
Optional - user's preferred mode hint; overrides auto-classifier when set
Enum:
planning, building, repair, conversationrequestId
string
Client-generated UUID4 for persistent session tracking (optional for legacy/inline mode)
sessionId
string
Optional - metadata: which create-page session started this conversation
temperatureOverride
number
Optional - override the LLM temperature for this request (eval/testing use only)
templateSearchMode
string
Optional - template search mode toggle (defaults to lightweight)
Enum:
lightweight, hybridtimezone
string
Optional - user's IANA timezone (e.g. "America/New_York") for time-aware responses
workflowId
string
Optional - metadata: which workflow this conversation is about
Responses
200
sessionToken + socketUrl for the caddie-v3 Socket.IO connection
application/json
400
Bad Request
curl -X POST 'https://api.example.com/v1/ai/workflow/chat/stream' \ -H 'Authorization: Bearer YOUR_API_TOKEN' \ -H 'Content-Type: application/json' \ -d '{}'
const response = await fetch('https://api.example.com/v1/ai/workflow/chat/stream', { method: 'POST', headers: { "Authorization": "Bearer YOUR_API_TOKEN", "Content-Type": "application/json" }, body: JSON.stringify({})});const data = await response.json();console.log(data);
import requestsheaders = { 'Authorization': 'Bearer YOUR_API_TOKEN'}response = requests.post('https://api.example.com/v1/ai/workflow/chat/stream', headers=headers, json={})print(response.json())
package mainimport ( "fmt" "io" "net/http" "strings")func main() { body := strings.NewReader(`{}`) req, _ := http.NewRequest("POST", "https://api.example.com/v1/ai/workflow/chat/stream", body) req.Header.Set("Authorization", "Bearer YOUR_API_TOKEN") req.Header.Set("Content-Type", "application/json") resp, _ := http.DefaultClient.Do(req) defer resp.Body.Close() result, _ := io.ReadAll(resp.Body) fmt.Println(string(result))}
200
Response
"<object>"
API Playground
Try this endpoint
POST
/v1/ai/workflow/chat/stream
