Create an assistant (agent + workflow) as one unit
Create an assistant (agent + parent workflow) with an inactive initial revision in one transaction. Activate explicitly to go live.
curl --request POST \
--url https://api-sandbox.featherhq.com/v1/assistants \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"name": "<string>",
"description": "<string>",
"persona": "<string>",
"system_prompt": "<string>",
"system_context_variables": [
{
"name": "<string>",
"enum_values": [
"<string>"
],
"description": "<string>"
}
],
"context_variables": [
{
"name": "<string>",
"enum_values": [
"<string>"
],
"description": "<string>",
"source": "system",
"reask_cap": null
}
],
"variable_defaults": {},
"channel_specific_config": {},
"router_config_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": [
"<string>"
],
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"current_time": {
"enabled": true,
"timezone": "<string>"
},
"analyzer_model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": [
"<string>"
],
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"memory_enabled": true,
"router_model_settings": {},
"metadata": {},
"kb_clearance_level": 123,
"kb_audience_tags": [
"<string>"
],
"knowledge_gap_analysis_enabled": true,
"tool_refs": [
{
"id": "<string>",
"slug": "<string>",
"output_bindings": {},
"input_defaults": {}
}
],
"knowledge_base_refs": [
{
"id": "<string>",
"description": "<string>",
"clearance_level": 123
}
],
"instructions": "",
"workflow_description": "<string>"
}
'import requests
url = "https://api-sandbox.featherhq.com/v1/assistants"
payload = {
"name": "<string>",
"description": "<string>",
"persona": "<string>",
"system_prompt": "<string>",
"system_context_variables": [
{
"name": "<string>",
"enum_values": ["<string>"],
"description": "<string>"
}
],
"context_variables": [
{
"name": "<string>",
"enum_values": ["<string>"],
"description": "<string>",
"source": "system",
"reask_cap": None
}
],
"variable_defaults": {},
"channel_specific_config": {},
"router_config_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": ["<string>"],
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"current_time": {
"enabled": True,
"timezone": "<string>"
},
"analyzer_model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": ["<string>"],
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"memory_enabled": True,
"router_model_settings": {},
"metadata": {},
"kb_clearance_level": 123,
"kb_audience_tags": ["<string>"],
"knowledge_gap_analysis_enabled": True,
"tool_refs": [
{
"id": "<string>",
"slug": "<string>",
"output_bindings": {},
"input_defaults": {}
}
],
"knowledge_base_refs": [
{
"id": "<string>",
"description": "<string>",
"clearance_level": 123
}
],
"instructions": "",
"workflow_description": "<string>"
}
headers = {
"x-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
name: '<string>',
description: '<string>',
persona: '<string>',
system_prompt: '<string>',
system_context_variables: [{name: '<string>', enum_values: ['<string>'], description: '<string>'}],
context_variables: [
{
name: '<string>',
enum_values: ['<string>'],
description: '<string>',
source: 'system',
reask_cap: null
}
],
variable_defaults: {},
channel_specific_config: {},
router_config_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
model_settings: {
model: '<string>',
config: {
temperature: 1,
max_tokens: 2,
top_p: 0.5,
stop_sequences: ['<string>'],
request_timeout_ms: 10500,
thinking_budget: 2
}
},
current_time: {enabled: true, timezone: '<string>'},
analyzer_model_settings: {
model: '<string>',
config: {
temperature: 1,
max_tokens: 2,
top_p: 0.5,
stop_sequences: ['<string>'],
request_timeout_ms: 10500,
thinking_budget: 2
}
},
memory_enabled: true,
router_model_settings: {},
metadata: {},
kb_clearance_level: 123,
kb_audience_tags: ['<string>'],
knowledge_gap_analysis_enabled: true,
tool_refs: [{id: '<string>', slug: '<string>', output_bindings: {}, input_defaults: {}}],
knowledge_base_refs: [{id: '<string>', description: '<string>', clearance_level: 123}],
instructions: '',
workflow_description: '<string>'
})
};
fetch('https://api-sandbox.featherhq.com/v1/assistants', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api-sandbox.featherhq.com/v1/assistants",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'name' => '<string>',
'description' => '<string>',
'persona' => '<string>',
'system_prompt' => '<string>',
'system_context_variables' => [
[
'name' => '<string>',
'enum_values' => [
'<string>'
],
'description' => '<string>'
]
],
'context_variables' => [
[
'name' => '<string>',
'enum_values' => [
'<string>'
],
'description' => '<string>',
'source' => 'system',
'reask_cap' => null
]
],
'variable_defaults' => [
],
'channel_specific_config' => [
],
'router_config_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
'model_settings' => [
'model' => '<string>',
'config' => [
'temperature' => 1,
'max_tokens' => 2,
'top_p' => 0.5,
'stop_sequences' => [
'<string>'
],
'request_timeout_ms' => 10500,
'thinking_budget' => 2
]
],
'current_time' => [
'enabled' => true,
'timezone' => '<string>'
],
'analyzer_model_settings' => [
'model' => '<string>',
'config' => [
'temperature' => 1,
'max_tokens' => 2,
'top_p' => 0.5,
'stop_sequences' => [
'<string>'
],
'request_timeout_ms' => 10500,
'thinking_budget' => 2
]
],
'memory_enabled' => true,
'router_model_settings' => [
],
'metadata' => [
],
'kb_clearance_level' => 123,
'kb_audience_tags' => [
'<string>'
],
'knowledge_gap_analysis_enabled' => true,
'tool_refs' => [
[
'id' => '<string>',
'slug' => '<string>',
'output_bindings' => [
],
'input_defaults' => [
]
]
],
'knowledge_base_refs' => [
[
'id' => '<string>',
'description' => '<string>',
'clearance_level' => 123
]
],
'instructions' => '',
'workflow_description' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-api-key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api-sandbox.featherhq.com/v1/assistants"
payload := strings.NewReader("{\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"persona\": \"<string>\",\n \"system_prompt\": \"<string>\",\n \"system_context_variables\": [\n {\n \"name\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"description\": \"<string>\"\n }\n ],\n \"context_variables\": [\n {\n \"name\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"description\": \"<string>\",\n \"source\": \"system\",\n \"reask_cap\": null\n }\n ],\n \"variable_defaults\": {},\n \"channel_specific_config\": {},\n \"router_config_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"model_settings\": {\n \"model\": \"<string>\",\n \"config\": {\n \"temperature\": 1,\n \"max_tokens\": 2,\n \"top_p\": 0.5,\n \"stop_sequences\": [\n \"<string>\"\n ],\n \"request_timeout_ms\": 10500,\n \"thinking_budget\": 2\n }\n },\n \"current_time\": {\n \"enabled\": true,\n \"timezone\": \"<string>\"\n },\n \"analyzer_model_settings\": {\n \"model\": \"<string>\",\n \"config\": {\n \"temperature\": 1,\n \"max_tokens\": 2,\n \"top_p\": 0.5,\n \"stop_sequences\": [\n \"<string>\"\n ],\n \"request_timeout_ms\": 10500,\n \"thinking_budget\": 2\n }\n },\n \"memory_enabled\": true,\n \"router_model_settings\": {},\n \"metadata\": {},\n \"kb_clearance_level\": 123,\n \"kb_audience_tags\": [\n \"<string>\"\n ],\n \"knowledge_gap_analysis_enabled\": true,\n \"tool_refs\": [\n {\n \"id\": \"<string>\",\n \"slug\": \"<string>\",\n \"output_bindings\": {},\n \"input_defaults\": {}\n }\n ],\n \"knowledge_base_refs\": [\n {\n \"id\": \"<string>\",\n \"description\": \"<string>\",\n \"clearance_level\": 123\n }\n ],\n \"instructions\": \"\",\n \"workflow_description\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api-sandbox.featherhq.com/v1/assistants")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"persona\": \"<string>\",\n \"system_prompt\": \"<string>\",\n \"system_context_variables\": [\n {\n \"name\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"description\": \"<string>\"\n }\n ],\n \"context_variables\": [\n {\n \"name\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"description\": \"<string>\",\n \"source\": \"system\",\n \"reask_cap\": null\n }\n ],\n \"variable_defaults\": {},\n \"channel_specific_config\": {},\n \"router_config_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"model_settings\": {\n \"model\": \"<string>\",\n \"config\": {\n \"temperature\": 1,\n \"max_tokens\": 2,\n \"top_p\": 0.5,\n \"stop_sequences\": [\n \"<string>\"\n ],\n \"request_timeout_ms\": 10500,\n \"thinking_budget\": 2\n }\n },\n \"current_time\": {\n \"enabled\": true,\n \"timezone\": \"<string>\"\n },\n \"analyzer_model_settings\": {\n \"model\": \"<string>\",\n \"config\": {\n \"temperature\": 1,\n \"max_tokens\": 2,\n \"top_p\": 0.5,\n \"stop_sequences\": [\n \"<string>\"\n ],\n \"request_timeout_ms\": 10500,\n \"thinking_budget\": 2\n }\n },\n \"memory_enabled\": true,\n \"router_model_settings\": {},\n \"metadata\": {},\n \"kb_clearance_level\": 123,\n \"kb_audience_tags\": [\n \"<string>\"\n ],\n \"knowledge_gap_analysis_enabled\": true,\n \"tool_refs\": [\n {\n \"id\": \"<string>\",\n \"slug\": \"<string>\",\n \"output_bindings\": {},\n \"input_defaults\": {}\n }\n ],\n \"knowledge_base_refs\": [\n {\n \"id\": \"<string>\",\n \"description\": \"<string>\",\n \"clearance_level\": 123\n }\n ],\n \"instructions\": \"\",\n \"workflow_description\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api-sandbox.featherhq.com/v1/assistants")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"persona\": \"<string>\",\n \"system_prompt\": \"<string>\",\n \"system_context_variables\": [\n {\n \"name\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"description\": \"<string>\"\n }\n ],\n \"context_variables\": [\n {\n \"name\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"description\": \"<string>\",\n \"source\": \"system\",\n \"reask_cap\": null\n }\n ],\n \"variable_defaults\": {},\n \"channel_specific_config\": {},\n \"router_config_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"model_settings\": {\n \"model\": \"<string>\",\n \"config\": {\n \"temperature\": 1,\n \"max_tokens\": 2,\n \"top_p\": 0.5,\n \"stop_sequences\": [\n \"<string>\"\n ],\n \"request_timeout_ms\": 10500,\n \"thinking_budget\": 2\n }\n },\n \"current_time\": {\n \"enabled\": true,\n \"timezone\": \"<string>\"\n },\n \"analyzer_model_settings\": {\n \"model\": \"<string>\",\n \"config\": {\n \"temperature\": 1,\n \"max_tokens\": 2,\n \"top_p\": 0.5,\n \"stop_sequences\": [\n \"<string>\"\n ],\n \"request_timeout_ms\": 10500,\n \"thinking_budget\": 2\n }\n },\n \"memory_enabled\": true,\n \"router_model_settings\": {},\n \"metadata\": {},\n \"kb_clearance_level\": 123,\n \"kb_audience_tags\": [\n \"<string>\"\n ],\n \"knowledge_gap_analysis_enabled\": true,\n \"tool_refs\": [\n {\n \"id\": \"<string>\",\n \"slug\": \"<string>\",\n \"output_bindings\": {},\n \"input_defaults\": {}\n }\n ],\n \"knowledge_base_refs\": [\n {\n \"id\": \"<string>\",\n \"description\": \"<string>\",\n \"clearance_level\": 123\n }\n ],\n \"instructions\": \"\",\n \"workflow_description\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"agent": {
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"organization_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"name": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"description": "<string>",
"active_revision_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"active_revision": {
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"agent_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"name": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"system_context_variables": [
{
"name": "<string>",
"type": "string",
"enum_values": [
"<string>"
],
"description": "<string>"
}
],
"description": "<string>",
"persona": "<string>",
"system_prompt": "<string>",
"context_variables": [
{
"name": "<string>",
"type": "string",
"source": "derived",
"enum_values": [
"<string>"
],
"reask_cap": 123,
"description": "<string>"
}
],
"variable_defaults": {},
"tool_refs": [
{}
],
"knowledge_base_refs": [
{}
],
"platform_tools": {},
"policies_enabled": true,
"policy_refs": [
{}
],
"channel_specific_config": {},
"router_config_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": [
"<string>"
],
"reasoning_effort": "none",
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"analyzer_model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": [
"<string>"
],
"reasoning_effort": "none",
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"workflow_enabled": false,
"memory_enabled": true,
"current_time": {
"enabled": true,
"timezone": "<string>"
},
"kb_clearance_level": 123,
"kb_audience_tags": [
"<string>"
],
"continue_after_flow": true,
"voice_call_settings": {},
"created_by": "<string>",
"published_at": "2023-11-07T05:31:56Z"
},
"metadata": {},
"platform_tools": {},
"knowledge_gap_analysis_enabled": true,
"release_suite_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"release_gate_mode": "off",
"release_gate_max_failures": 0,
"max_active_calls": 123
},
"agent_revision": {
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"agent_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"name": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"system_context_variables": [
{
"name": "<string>",
"type": "string",
"enum_values": [
"<string>"
],
"description": "<string>"
}
],
"description": "<string>",
"persona": "<string>",
"system_prompt": "<string>",
"context_variables": [
{
"name": "<string>",
"type": "string",
"source": "derived",
"enum_values": [
"<string>"
],
"reask_cap": 123,
"description": "<string>"
}
],
"variable_defaults": {},
"tool_refs": [
{}
],
"knowledge_base_refs": [
{}
],
"platform_tools": {},
"policies_enabled": true,
"policy_refs": [
{}
],
"channel_specific_config": {},
"router_config_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": [
"<string>"
],
"reasoning_effort": "none",
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"analyzer_model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": [
"<string>"
],
"reasoning_effort": "none",
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"workflow_enabled": false,
"memory_enabled": true,
"current_time": {
"enabled": true,
"timezone": "<string>"
},
"kb_clearance_level": 123,
"kb_audience_tags": [
"<string>"
],
"continue_after_flow": true,
"voice_call_settings": {},
"created_by": "<string>",
"published_at": "2023-11-07T05:31:56Z"
},
"workflow": {
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"organization_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"name": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"description": "<string>",
"kind": "assistant",
"active_revision_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"active_revision": {
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"workflow_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"name": "<string>",
"instructions": "<string>",
"compilation_strategy": "<string>",
"compilation_status": "<string>",
"trigger_type": "<string>",
"trigger_config": {},
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"description": "<string>",
"compiled_graph": {},
"executable_graph": {},
"quality_report": {},
"compilation_errors": [
"<string>"
],
"compilation_task_id": "<string>",
"compilation_input_hash": "<string>",
"router_config_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"analyzer_model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": [
"<string>"
],
"reasoning_effort": "none",
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"router_model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": [
"<string>"
],
"reasoning_effort": "none",
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"policy_ids": [
"<unknown>"
],
"tool_input_defaults": {},
"tools": [
{
"tool": {
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"organization_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"name": "<string>",
"description": "<string>",
"tool_type": "api_call",
"active_revision_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"active_revision": {
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"tool_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"name": "<string>",
"description": "<string>",
"status": "<string>",
"created_by": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"default_count": 123,
"pinned_count": 123,
"stale_input_fields": [
"<string>"
],
"merged_input_preview": {},
"configuration": {
"url": "<string>",
"method": "GET",
"headers": [
{
"key": "<string>",
"value": "<string>",
"secure": false
}
],
"query_params": [
{
"key": "<string>",
"value": "<string>",
"secure": false
}
],
"body": {},
"timeout": 30,
"variables": [
{
"name": "<string>",
"type": "str",
"description": "<string>",
"required": false
}
],
"retry": {
"max_retries": 0,
"base_delay_seconds": 1,
"max_delay_seconds": 30,
"jitter": true
}
},
"transfer_target": {
"destination": "<string>",
"destination_source": {
"tool_id": "<string>",
"response_path": "<string>",
"type": "api_tool",
"input_mapping": {}
},
"mode": "cold"
},
"response_schema": {
"field_mappings": [
{
"path": "<string>",
"alias": "<string>"
}
]
},
"has_secrets": false,
"input_defaults": {},
"compatibility": {
"tool_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"old_revision_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"new_revision_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"has_blocking": true,
"active_blocking_count": 123,
"active_blocking_finding_count": 123,
"active_finding_count": 123,
"affected_assistant_count": 123,
"findings": [
{
"severity": "blocking",
"assistant_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"assistant_revision_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"revision_state": "active",
"finding_type": "<string>",
"field_path": "<string>",
"detail": "<string>",
"configuration_scope": "assistant_tool_default",
"workflow_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"workflow_revision_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"component_node_id": "<string>",
"graph_node_id": "<string>",
"graph_node_name": "<string>",
"step_id": "<string>",
"tool_ref_index": 123
}
]
}
},
"metadata": {}
}
}
],
"knowledge_base_ids": [
"3c90c3cc-0d44-4b50-8888-8dd25736052a"
],
"created_by": "<string>",
"graph_version": 0,
"warnings": [
"<string>"
]
},
"metadata": {}
},
"workflow_revision_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}Authorizations
Body
Request body for POST /assistants — create an agent + workflow as one unit.
Q1: every assistant gets a workflow shell at creation; an empty flow
(instructions="") is legal and runs the bare-agent path.
Show child attributes
Show child attributes
Deprecated alias for system_context_variables.
Show child attributes
Show child attributes
Show child attributes
Show child attributes
One tier's optional current-time overrides.
None means inherit for that field. An empty object therefore clears the tier and inherits
both values. The API stores only non-null fields.
Show child attributes
Show child attributes
Assistant-revision override for the bound workflow analyzer; stored but inactive while the assistant has no effective workflow.
Show child attributes
Show child attributes
Enable semantic memory recall and ingestion for this revision.
Show child attributes
Show child attributes
Show child attributes
Show child attributes
Response
Successful Response
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curl --request POST \
--url https://api-sandbox.featherhq.com/v1/assistants \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"name": "<string>",
"description": "<string>",
"persona": "<string>",
"system_prompt": "<string>",
"system_context_variables": [
{
"name": "<string>",
"enum_values": [
"<string>"
],
"description": "<string>"
}
],
"context_variables": [
{
"name": "<string>",
"enum_values": [
"<string>"
],
"description": "<string>",
"source": "system",
"reask_cap": null
}
],
"variable_defaults": {},
"channel_specific_config": {},
"router_config_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": [
"<string>"
],
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"current_time": {
"enabled": true,
"timezone": "<string>"
},
"analyzer_model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": [
"<string>"
],
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"memory_enabled": true,
"router_model_settings": {},
"metadata": {},
"kb_clearance_level": 123,
"kb_audience_tags": [
"<string>"
],
"knowledge_gap_analysis_enabled": true,
"tool_refs": [
{
"id": "<string>",
"slug": "<string>",
"output_bindings": {},
"input_defaults": {}
}
],
"knowledge_base_refs": [
{
"id": "<string>",
"description": "<string>",
"clearance_level": 123
}
],
"instructions": "",
"workflow_description": "<string>"
}
'import requests
url = "https://api-sandbox.featherhq.com/v1/assistants"
payload = {
"name": "<string>",
"description": "<string>",
"persona": "<string>",
"system_prompt": "<string>",
"system_context_variables": [
{
"name": "<string>",
"enum_values": ["<string>"],
"description": "<string>"
}
],
"context_variables": [
{
"name": "<string>",
"enum_values": ["<string>"],
"description": "<string>",
"source": "system",
"reask_cap": None
}
],
"variable_defaults": {},
"channel_specific_config": {},
"router_config_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": ["<string>"],
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"current_time": {
"enabled": True,
"timezone": "<string>"
},
"analyzer_model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": ["<string>"],
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"memory_enabled": True,
"router_model_settings": {},
"metadata": {},
"kb_clearance_level": 123,
"kb_audience_tags": ["<string>"],
"knowledge_gap_analysis_enabled": True,
"tool_refs": [
{
"id": "<string>",
"slug": "<string>",
"output_bindings": {},
"input_defaults": {}
}
],
"knowledge_base_refs": [
{
"id": "<string>",
"description": "<string>",
"clearance_level": 123
}
],
"instructions": "",
"workflow_description": "<string>"
}
headers = {
"x-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
name: '<string>',
description: '<string>',
persona: '<string>',
system_prompt: '<string>',
system_context_variables: [{name: '<string>', enum_values: ['<string>'], description: '<string>'}],
context_variables: [
{
name: '<string>',
enum_values: ['<string>'],
description: '<string>',
source: 'system',
reask_cap: null
}
],
variable_defaults: {},
channel_specific_config: {},
router_config_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
model_settings: {
model: '<string>',
config: {
temperature: 1,
max_tokens: 2,
top_p: 0.5,
stop_sequences: ['<string>'],
request_timeout_ms: 10500,
thinking_budget: 2
}
},
current_time: {enabled: true, timezone: '<string>'},
analyzer_model_settings: {
model: '<string>',
config: {
temperature: 1,
max_tokens: 2,
top_p: 0.5,
stop_sequences: ['<string>'],
request_timeout_ms: 10500,
thinking_budget: 2
}
},
memory_enabled: true,
router_model_settings: {},
metadata: {},
kb_clearance_level: 123,
kb_audience_tags: ['<string>'],
knowledge_gap_analysis_enabled: true,
tool_refs: [{id: '<string>', slug: '<string>', output_bindings: {}, input_defaults: {}}],
knowledge_base_refs: [{id: '<string>', description: '<string>', clearance_level: 123}],
instructions: '',
workflow_description: '<string>'
})
};
fetch('https://api-sandbox.featherhq.com/v1/assistants', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api-sandbox.featherhq.com/v1/assistants",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'name' => '<string>',
'description' => '<string>',
'persona' => '<string>',
'system_prompt' => '<string>',
'system_context_variables' => [
[
'name' => '<string>',
'enum_values' => [
'<string>'
],
'description' => '<string>'
]
],
'context_variables' => [
[
'name' => '<string>',
'enum_values' => [
'<string>'
],
'description' => '<string>',
'source' => 'system',
'reask_cap' => null
]
],
'variable_defaults' => [
],
'channel_specific_config' => [
],
'router_config_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
'model_settings' => [
'model' => '<string>',
'config' => [
'temperature' => 1,
'max_tokens' => 2,
'top_p' => 0.5,
'stop_sequences' => [
'<string>'
],
'request_timeout_ms' => 10500,
'thinking_budget' => 2
]
],
'current_time' => [
'enabled' => true,
'timezone' => '<string>'
],
'analyzer_model_settings' => [
'model' => '<string>',
'config' => [
'temperature' => 1,
'max_tokens' => 2,
'top_p' => 0.5,
'stop_sequences' => [
'<string>'
],
'request_timeout_ms' => 10500,
'thinking_budget' => 2
]
],
'memory_enabled' => true,
'router_model_settings' => [
],
'metadata' => [
],
'kb_clearance_level' => 123,
'kb_audience_tags' => [
'<string>'
],
'knowledge_gap_analysis_enabled' => true,
'tool_refs' => [
[
'id' => '<string>',
'slug' => '<string>',
'output_bindings' => [
],
'input_defaults' => [
]
]
],
'knowledge_base_refs' => [
[
'id' => '<string>',
'description' => '<string>',
'clearance_level' => 123
]
],
'instructions' => '',
'workflow_description' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-api-key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api-sandbox.featherhq.com/v1/assistants"
payload := strings.NewReader("{\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"persona\": \"<string>\",\n \"system_prompt\": \"<string>\",\n \"system_context_variables\": [\n {\n \"name\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"description\": \"<string>\"\n }\n ],\n \"context_variables\": [\n {\n \"name\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"description\": \"<string>\",\n \"source\": \"system\",\n \"reask_cap\": null\n }\n ],\n \"variable_defaults\": {},\n \"channel_specific_config\": {},\n \"router_config_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"model_settings\": {\n \"model\": \"<string>\",\n \"config\": {\n \"temperature\": 1,\n \"max_tokens\": 2,\n \"top_p\": 0.5,\n \"stop_sequences\": [\n \"<string>\"\n ],\n \"request_timeout_ms\": 10500,\n \"thinking_budget\": 2\n }\n },\n \"current_time\": {\n \"enabled\": true,\n \"timezone\": \"<string>\"\n },\n \"analyzer_model_settings\": {\n \"model\": \"<string>\",\n \"config\": {\n \"temperature\": 1,\n \"max_tokens\": 2,\n \"top_p\": 0.5,\n \"stop_sequences\": [\n \"<string>\"\n ],\n \"request_timeout_ms\": 10500,\n \"thinking_budget\": 2\n }\n },\n \"memory_enabled\": true,\n \"router_model_settings\": {},\n \"metadata\": {},\n \"kb_clearance_level\": 123,\n \"kb_audience_tags\": [\n \"<string>\"\n ],\n \"knowledge_gap_analysis_enabled\": true,\n \"tool_refs\": [\n {\n \"id\": \"<string>\",\n \"slug\": \"<string>\",\n \"output_bindings\": {},\n \"input_defaults\": {}\n }\n ],\n \"knowledge_base_refs\": [\n {\n \"id\": \"<string>\",\n \"description\": \"<string>\",\n \"clearance_level\": 123\n }\n ],\n \"instructions\": \"\",\n \"workflow_description\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api-sandbox.featherhq.com/v1/assistants")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"persona\": \"<string>\",\n \"system_prompt\": \"<string>\",\n \"system_context_variables\": [\n {\n \"name\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"description\": \"<string>\"\n }\n ],\n \"context_variables\": [\n {\n \"name\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"description\": \"<string>\",\n \"source\": \"system\",\n \"reask_cap\": null\n }\n ],\n \"variable_defaults\": {},\n \"channel_specific_config\": {},\n \"router_config_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"model_settings\": {\n \"model\": \"<string>\",\n \"config\": {\n \"temperature\": 1,\n \"max_tokens\": 2,\n \"top_p\": 0.5,\n \"stop_sequences\": [\n \"<string>\"\n ],\n \"request_timeout_ms\": 10500,\n \"thinking_budget\": 2\n }\n },\n \"current_time\": {\n \"enabled\": true,\n \"timezone\": \"<string>\"\n },\n \"analyzer_model_settings\": {\n \"model\": \"<string>\",\n \"config\": {\n \"temperature\": 1,\n \"max_tokens\": 2,\n \"top_p\": 0.5,\n \"stop_sequences\": [\n \"<string>\"\n ],\n \"request_timeout_ms\": 10500,\n \"thinking_budget\": 2\n }\n },\n \"memory_enabled\": true,\n \"router_model_settings\": {},\n \"metadata\": {},\n \"kb_clearance_level\": 123,\n \"kb_audience_tags\": [\n \"<string>\"\n ],\n \"knowledge_gap_analysis_enabled\": true,\n \"tool_refs\": [\n {\n \"id\": \"<string>\",\n \"slug\": \"<string>\",\n \"output_bindings\": {},\n \"input_defaults\": {}\n }\n ],\n \"knowledge_base_refs\": [\n {\n \"id\": \"<string>\",\n \"description\": \"<string>\",\n \"clearance_level\": 123\n }\n ],\n \"instructions\": \"\",\n \"workflow_description\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api-sandbox.featherhq.com/v1/assistants")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"persona\": \"<string>\",\n \"system_prompt\": \"<string>\",\n \"system_context_variables\": [\n {\n \"name\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"description\": \"<string>\"\n }\n ],\n \"context_variables\": [\n {\n \"name\": \"<string>\",\n \"enum_values\": [\n \"<string>\"\n ],\n \"description\": \"<string>\",\n \"source\": \"system\",\n \"reask_cap\": null\n }\n ],\n \"variable_defaults\": {},\n \"channel_specific_config\": {},\n \"router_config_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"model_settings\": {\n \"model\": \"<string>\",\n \"config\": {\n \"temperature\": 1,\n \"max_tokens\": 2,\n \"top_p\": 0.5,\n \"stop_sequences\": [\n \"<string>\"\n ],\n \"request_timeout_ms\": 10500,\n \"thinking_budget\": 2\n }\n },\n \"current_time\": {\n \"enabled\": true,\n \"timezone\": \"<string>\"\n },\n \"analyzer_model_settings\": {\n \"model\": \"<string>\",\n \"config\": {\n \"temperature\": 1,\n \"max_tokens\": 2,\n \"top_p\": 0.5,\n \"stop_sequences\": [\n \"<string>\"\n ],\n \"request_timeout_ms\": 10500,\n \"thinking_budget\": 2\n }\n },\n \"memory_enabled\": true,\n \"router_model_settings\": {},\n \"metadata\": {},\n \"kb_clearance_level\": 123,\n \"kb_audience_tags\": [\n \"<string>\"\n ],\n \"knowledge_gap_analysis_enabled\": true,\n \"tool_refs\": [\n {\n \"id\": \"<string>\",\n \"slug\": \"<string>\",\n \"output_bindings\": {},\n \"input_defaults\": {}\n }\n ],\n \"knowledge_base_refs\": [\n {\n \"id\": \"<string>\",\n \"description\": \"<string>\",\n \"clearance_level\": 123\n }\n ],\n \"instructions\": \"\",\n \"workflow_description\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"agent": {
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"organization_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"name": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"description": "<string>",
"active_revision_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"active_revision": {
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"agent_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"name": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"system_context_variables": [
{
"name": "<string>",
"type": "string",
"enum_values": [
"<string>"
],
"description": "<string>"
}
],
"description": "<string>",
"persona": "<string>",
"system_prompt": "<string>",
"context_variables": [
{
"name": "<string>",
"type": "string",
"source": "derived",
"enum_values": [
"<string>"
],
"reask_cap": 123,
"description": "<string>"
}
],
"variable_defaults": {},
"tool_refs": [
{}
],
"knowledge_base_refs": [
{}
],
"platform_tools": {},
"policies_enabled": true,
"policy_refs": [
{}
],
"channel_specific_config": {},
"router_config_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": [
"<string>"
],
"reasoning_effort": "none",
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"analyzer_model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": [
"<string>"
],
"reasoning_effort": "none",
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"workflow_enabled": false,
"memory_enabled": true,
"current_time": {
"enabled": true,
"timezone": "<string>"
},
"kb_clearance_level": 123,
"kb_audience_tags": [
"<string>"
],
"continue_after_flow": true,
"voice_call_settings": {},
"created_by": "<string>",
"published_at": "2023-11-07T05:31:56Z"
},
"metadata": {},
"platform_tools": {},
"knowledge_gap_analysis_enabled": true,
"release_suite_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"release_gate_mode": "off",
"release_gate_max_failures": 0,
"max_active_calls": 123
},
"agent_revision": {
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"agent_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"name": "<string>",
"created_at": "2023-11-07T05:31:56Z",
"updated_at": "2023-11-07T05:31:56Z",
"system_context_variables": [
{
"name": "<string>",
"type": "string",
"enum_values": [
"<string>"
],
"description": "<string>"
}
],
"description": "<string>",
"persona": "<string>",
"system_prompt": "<string>",
"context_variables": [
{
"name": "<string>",
"type": "string",
"source": "derived",
"enum_values": [
"<string>"
],
"reask_cap": 123,
"description": "<string>"
}
],
"variable_defaults": {},
"tool_refs": [
{}
],
"knowledge_base_refs": [
{}
],
"platform_tools": {},
"policies_enabled": true,
"policy_refs": [
{}
],
"channel_specific_config": {},
"router_config_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": [
"<string>"
],
"reasoning_effort": "none",
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"analyzer_model_settings": {
"model": "<string>",
"config": {
"temperature": 1,
"max_tokens": 2,
"top_p": 0.5,
"stop_sequences": [
"<string>"
],
"reasoning_effort": "none",
"request_timeout_ms": 10500,
"thinking_budget": 2
}
},
"workflow_enabled": false,
"memory_enabled": true,
"current_time": {
"enabled": true,
"timezone": "<string>"
},
"kb_clearance_level": 123,
"kb_audience_tags": [
"<string>"
],
"continue_after_flow": true,
"voice_call_settings": {},
"created_by": "<string>",
"published_at": "2023-11-07T05:31:56Z"
},
"workflow": {
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"organization_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"name": "<string>",
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