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model_list:
  - model_name: qwen3:8b
    litellm_params:
      model: ollama/qwen3:8b
      api_base: http://ollama:11434
  - model_name: qwen3-embedding:0.6b
    litellm_params:
      model: ollama/qwen3-embedding:0.6b
      api_base: http://ollama:11434
litellm_settings:

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global:
  scrape_interval: 1s

scrape_configs:
  - job_name: 'memmachine'
    static_configs:
      - targets: ['memmachine:8080']
  - job_name: 'dcgm'
    static_configs:
      - targets: ['dcgm:9400']

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apiVersion: 1

providers:
  - name: 'default'
    orgId: 1
    folder: ''
    type: file
    disableDeletion: false
    editable: true
    updateIntervalSeconds: 10

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apiVersion: 1
datasources:
  - name: Prometheus
    type: prometheus
    access: proxy
    url: http://prometheus:9090
    isDefault: true

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logging:
  path: /tmp/memory_log
  level: info 

long_term_memory:
  derivative_deriver: sentence
  metadata_prefix: "[$timestamp] $producer_id: "
  embedder: my_embedder_id
  reranker: my_reranker_id
  vector_graph_store: my_storage_id

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"""
This Locust load testing script is designed to simulate user traffic for the MemMachine API.

It consists of two main components:
1. MemMachineUser(HttpUser): Defines the behavior of a single virtual user, including the API endpoints
   they hit, the frequency of those actions (using task weights), and the data they send.
   - Tasks include adding memories, searching memories, and accessing various GET endpoints.
   - Each user simulates a unique session with unique IDs.

2. RampUpShape(LoadTestShape): Defines a custom, multi-stage load shape. This class programmatically

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{
  "annotations": {
    "list": [
      {
        "builtIn": 1,
        "datasource": {
          "type": "grafana",
          "uid": "-- Grafana --"
        },
        "enable": true,