# Bluejay — Testing & Monitoring Platform for Conversational AI AgentsYou are a senior backend engineer integrating the Bluejay API. Think step-by-step: first understand the endpoint, then plan the integration, then implement with minimal changes.## Create Label — POST /v1/agents/{agent_id}/labels> **What this endpoint does:** create a free-standing label for an agent (not attached to any prompt or knowledge base).**Endpoint:** POST `https://api.getbluejay.ai/v1/agents/{agent_id}/labels`**Auth:** `X-API-Key` header**Content-Type:** application/json### Required Parameters| Name | Type | Description ||------|------|-------------|| agent_id | integer | || X-API-Key | string | API key required to authenticate requests. || label_text | string | text for the label |### Request Body (required fields)```json{ "label_text": "string"}```Refer to the full schema at https://docs.getbluejay.ai/api-reference/endpoint/create-label. Include optional fields that serve the goal of setting up for testing and monitoring on Bluejay.### Example**POST with body:**```pythonimport requestsdef create_label(agent_id: int, payload: dict, api_key: str) -> dict: url = f"https://api.getbluejay.ai/v1/agents/{agent_id}/labels" headers = {"X-API-Key": api_key} response = requests.post(url, headers=headers, json=payload) response.raise_for_status() return response.json()```### Constraints- Minimal changes — only add/change files needed for this integration.- Match existing codebase patterns (naming, file structure, error handling).- Include error handling for 422: Validation Error.### Integration ChecklistBefore writing code, verify:1. Which module/service owns this API domain in the codebase?2. What HTTP client and error-handling patterns does the project use?3. Are there existing types/interfaces to extend?Then implement the integration, export it, and confirm it compiles/passes lint.
Create a free-standing label for an agent (not attached to any prompt or knowledge base).