URL von MP3 aus ESP oder HA auslesen zum weiterbearbeiten

Servus,
bezüglich meines Projektes einer normalen Konversation mit dem Homeassistant Assistenten habe ich nun einen neuen Ansatz gefunden. Vlt kann mir hier jemand weiterhelfen wie ich die URL irgendwie abgreifen kann.

Das hier ist der Code von meinem ESP

esphome:
  name: "esp32-microphone-assist"
  friendly_name: "esp32-microphone-assist"

esp32:
  board: esp32dev
  framework:
    type: arduino

# Enable logging
logger:
#  level: VERY_VERBOSE

# Enable Home Assistant API
api:
  encryption:
    key: "xxxxxxxx"

ota:
  - platform: esphome
    password: "xxxxxxx"

wifi:
  ssid: !secret wifi_ssid
  password: !secret wifi_password

  # Enable fallback hotspot (captive portal) in case wifi connection fails
  ap:
    ssid: "Test Fallback Hotspot"
    password: "xxxxx"

captive_portal:

i2s_audio:
  - id: i2s_in
    i2s_lrclk_pin: GPIO26 #WS 
    i2s_bclk_pin: GPIO25 #SCK

microphone:
  - platform: i2s_audio
    adc_type: external
    pdm: false
    id: mic_i2s
    channel: right
    bits_per_sample: 32bit
    i2s_audio_id: i2s_in
    i2s_din_pin: GPIO33  #SD Pin from the INMP441 Microphone


voice_assistant:
  microphone: mic_i2s
  id: va
  noise_suppression_level: 2
  auto_gain: 31dBFS
  volume_multiplier: 4.0
  use_wake_word: false

  
#  on_wake_word_detected: 
#    - light.turn_on:
#        id: led_light
#  on_listening: 
#    - light.turn_on:
#        id: led_light
#        effect: "Scan Effect With Custom Values"
#        red: 63%
#        green: 13%
#        blue: 93%
  
#  on_stt_end:
#    - light.turn_on:
#        id: led_light
#        effect: "None"
#        red: 0%
#        green: 100%
#        blue: 0%

  on_error: 
#    - light.turn_on:
#        id: led_light
#        effect: "None"
    - if:
        condition:
          switch.is_on: use_wake_word
        then:

          - switch.turn_off: use_wake_word
          - delay: 1sec 
          - switch.turn_on: use_wake_word

  on_tts_start: 
    - homeassistant.service: 
        service: script.ha_voice_alexa
        data: 
          media_player_id: 'media_player.echo_buro'
          tts_id: 'tts.home_assistant_cloud'
          lang: 'de-DE'
          voice_agent: 'ChristophNeural'
          messagecall: !lambda 'return x;'


  on_client_connected:
    - if:
        condition:
          switch.is_on: use_wake_word
        then:
          - voice_assistant.start_continuous:

  on_client_disconnected:
    - if:
        condition:
          switch.is_on: use_wake_word
        then:
          - voice_assistant.stop:
 
#  on_end:
#    - light.turn_off:
#        id: led_light



binary_sensor:
  - platform: status
    name: API Connection
    id: api_connection
    filters:
      - delayed_on: 1s
    on_press:
      - if:
          condition:
            switch.is_on: use_wake_word
          then:
            - voice_assistant.start_continuous:
    on_release:
      - if:
          condition:
            switch.is_on: use_wake_word
          then:
            - voice_assistant.stop:


switch:
  - platform: template
    name: Use wake word
    id: use_wake_word
    optimistic: true
    restore_mode: RESTORE_DEFAULT_ON
    entity_category: config
    on_turn_on:
      - lambda: id(va).set_use_wake_word(true);
      - if:
          condition:
            not:
              - voice_assistant.is_running
          then:
            - voice_assistant.start_continuous
    
    on_turn_off:
      - voice_assistant.stop
      - lambda: id(va).set_use_wake_word(false);
     

Und das ist das vorhandene Script das die relevanten Daten vom ESP in HA abgreift.

alias: ha_voice_alexa
sequence:
  - data_template:
      media_player_entity_id: "{{ media_player_id }}"
      entity_id: "{{ tts_id }}"
      language: "{{ lang }}"
      options:
        voice: "{{ voice_agent }}"
      message: "{{ messagecall }}"
    action: tts.speak
mode: single

Das hier ist ein Auszug aus dem LOG des ESP:

gelb = meine Frage
blaue = die Antwort vom Assist
Grün = Variablen für das Script in HomeAssistant
Rot = der mp3 Pfad der noch über ein script integriert werden muss.

Gemini und Chatgpt habe ich dazu schon gequält aber irgendwie hat mich das diesmal nicht weiter gebracht.

Danke euch schon mal vorab.

ok habs hinbekommen