# 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.## Get Simulations by Agent — GET /v1/get-simulations-by-agent/{agent_id}> **What this endpoint does:** Get all simulations for a specific agent.**Endpoint:** GET `https://api.getbluejay.ai/v1/get-simulations-by-agent/{agent_id}`**Auth:** `X-API-Key` header### Required Parameters| Name | Type | Description ||------|------|-------------|| agent_id | string | || X-API-Key | string | API key required to authenticate requests. |### Example**Simple GET:**```pythonimport requestsdef get_simulations_by_agent(agent_id: str, api_key: str) -> dict: url = f"https://api.getbluejay.ai/v1/get-simulations-by-agent/{agent_id}" headers = {"X-API-Key": api_key} response = requests.get(url, headers=headers) 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.
This endpoint allows you to retrieve all simulations for a specific agent.