Generate AI analysis for a context
curl --request GET \
--url {protocol}://{host}:{port}/context/{context_id}/generate \
--header 'Authorization: Bearer <token>'import requests
url = "{protocol}://{host}:{port}/context/{context_id}/generate"
headers = {"Authorization": "Bearer <token>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};
fetch('{protocol}://{host}:{port}/context/{context_id}/generate', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_PORT => "62437",
CURLOPT_URL => "{protocol}://{host}:{port}/context/{context_id}/generate",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "{protocol}://{host}:{port}/context/{context_id}/generate"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Add("Authorization", "Bearer <token>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("{protocol}://{host}:{port}/context/{context_id}/generate")
.header("Authorization", "Bearer <token>")
.asString();require 'uri'
require 'net/http'
url = URI("{protocol}://{host}:{port}/context/{context_id}/generate")
http = Net::HTTP.new(url.host, url.port)
request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'
response = http.request(request)
puts response.read_body{
"id": "a1b2c3d4-e5f6-4a7b-8c9d-0e1f2a3b4c5d",
"name": "Senior Software Engineer",
"context": "We are looking for a senior software engineer with 5+ years of experience in Python and cloud infrastructure...",
"role": "Software Engineer",
"role_level": "senior",
"council_sage_id": "c3d4e5f6-7890-4abc-def0-123456789abc",
"summary": "This role requires a seasoned engineer with deep expertise in Python, AWS, and distributed systems...",
"categories": {
"technical_skills": {
"title": "Technical Skills",
"description": "Python, cloud infrastructure, distributed systems"
},
"problem_solving": {
"title": "Problem Solving",
"description": "System design, debugging, optimization"
}
},
"category_titles": "\"Technical Skills\", \"Problem Solving\", \"Communication\", \"Leadership\", \"Architecture\"",
"metrics": {
"complexity": "high",
"seniority_match": "senior"
}
}
Context
Generate AI analysis for a context
Loads the context from Redis, sends the job description, role, and role level to the AI model, and returns enriched context data including:
- summary — AI-generated summary of the role
- categories — Structured evaluation categories
- category_titles — Comma-separated list of category names
- metrics — Assessment metrics for the role
The generated data is also saved to the Prompt Library (PL) service.
GET
/
context
/
{context_id}
/
generate
Generate AI analysis for a context
curl --request GET \
--url {protocol}://{host}:{port}/context/{context_id}/generate \
--header 'Authorization: Bearer <token>'import requests
url = "{protocol}://{host}:{port}/context/{context_id}/generate"
headers = {"Authorization": "Bearer <token>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};
fetch('{protocol}://{host}:{port}/context/{context_id}/generate', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_PORT => "62437",
CURLOPT_URL => "{protocol}://{host}:{port}/context/{context_id}/generate",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "{protocol}://{host}:{port}/context/{context_id}/generate"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Add("Authorization", "Bearer <token>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("{protocol}://{host}:{port}/context/{context_id}/generate")
.header("Authorization", "Bearer <token>")
.asString();require 'uri'
require 'net/http'
url = URI("{protocol}://{host}:{port}/context/{context_id}/generate")
http = Net::HTTP.new(url.host, url.port)
request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'
response = http.request(request)
puts response.read_body{
"id": "a1b2c3d4-e5f6-4a7b-8c9d-0e1f2a3b4c5d",
"name": "Senior Software Engineer",
"context": "We are looking for a senior software engineer with 5+ years of experience in Python and cloud infrastructure...",
"role": "Software Engineer",
"role_level": "senior",
"council_sage_id": "c3d4e5f6-7890-4abc-def0-123456789abc",
"summary": "This role requires a seasoned engineer with deep expertise in Python, AWS, and distributed systems...",
"categories": {
"technical_skills": {
"title": "Technical Skills",
"description": "Python, cloud infrastructure, distributed systems"
},
"problem_solving": {
"title": "Problem Solving",
"description": "System design, debugging, optimization"
}
},
"category_titles": "\"Technical Skills\", \"Problem Solving\", \"Communication\", \"Leadership\", \"Architecture\"",
"metrics": {
"complexity": "high",
"seniority_match": "senior"
}
}
Authorizations
User JWT token passed in Authorization header
Headers
Required JWT permission: council_sage (informational only -- enforced server-side)
Path Parameters
UUID of the context record
Response
Context generated and saved successfully
Context enriched with AI-generated analysis
AI-generated summary of the role requirements
Structured evaluation categories produced by AI
Comma-separated quoted category names
Assessment metrics for the role