|
| 1 | + |
| 2 | +LlmModule |
| 3 | +========= |
| 4 | + |
| 5 | +.. include:: ../refs/module.llm.ref |
| 6 | + |
| 7 | +Micropython Example:: |
| 8 | + |
| 9 | + from module import LlmModule |
| 10 | + |
| 11 | + def on_keyword_detected(): |
| 12 | + print("[Keyword] detected") |
| 13 | + |
| 14 | + def on_asr_data_input(data: str, finish: bool, index: int): |
| 15 | + print(f"[ASR data] {data}") |
| 16 | + |
| 17 | + def on_llm_data_input(data: str, finish: bool, index: int): |
| 18 | + print(f"[LLM data] {data}") |
| 19 | + |
| 20 | + module_llm = LlmModule() |
| 21 | + module_llm.begin_voice_assistant() |
| 22 | + |
| 23 | + module_llm.set_voice_assistant_on_keyword_detected_callback(on_keyword_detected) |
| 24 | + module_llm.set_voice_assistant_on_asr_data_input_callback(on_asr_data_input) |
| 25 | + module_llm.set_voice_assistant_on_llm_data_input_callback(on_llm_data_input) |
| 26 | + |
| 27 | + while True: |
| 28 | + module_llm.update() |
| 29 | + |
| 30 | +UIFLOW2 Example: |
| 31 | + |
| 32 | + |example.png| |
| 33 | + |
| 34 | +.. only:: builder_html |
| 35 | + |
| 36 | + |llm_voice_assistant.m5f2| |
| 37 | + |
| 38 | + |
| 39 | +class LlmModule |
| 40 | +--------------- |
| 41 | + |
| 42 | +Constructors |
| 43 | +------------ |
| 44 | + |
| 45 | +.. class:: LlmModule() |
| 46 | + |
| 47 | + Initialize LlmModule and set up UART communication based on board type. |
| 48 | + |
| 49 | + UIFLOW2: |
| 50 | + |
| 51 | + |init.png| |
| 52 | + |
| 53 | +Methods |
| 54 | +------- |
| 55 | + |
| 56 | +.. method:: LlmModule.update() -> None |
| 57 | + |
| 58 | + Update ModuleLLM, receive response message. |
| 59 | + |
| 60 | + UIFLOW2: |
| 61 | + |
| 62 | + |update.png| |
| 63 | + |
| 64 | +.. method:: LlmModule.check_connection() -> bool |
| 65 | + |
| 66 | + Check if the module connection is working properly. |
| 67 | + |
| 68 | + :return: True if module connection is OK, False otherwise. |
| 69 | + :rtype: bool |
| 70 | + |
| 71 | + UIFLOW2: |
| 72 | + |
| 73 | + |check_connection.png| |
| 74 | + |
| 75 | +.. method:: LlmModule.get_response_msg_list() -> list |
| 76 | + |
| 77 | + Get the list of module's response messages. |
| 78 | + |
| 79 | + :return: List of response messages as dictionaries. |
| 80 | + :rtype: list |
| 81 | + |
| 82 | + UIFLOW2: |
| 83 | + |
| 84 | + |get_response_msg_list.png| |
| 85 | + |
| 86 | +.. method:: LlmModule.clear_response_msg_list() -> None |
| 87 | + |
| 88 | + Clear the module's response message list. |
| 89 | + |
| 90 | + UIFLOW2: |
| 91 | + |
| 92 | + |clear_response_msg_list.png| |
| 93 | + |
| 94 | +.. method:: LlmModule.sys_ping() -> int |
| 95 | + |
| 96 | + Send a ping to the system and get the response code. |
| 97 | + |
| 98 | + UIFLOW2: |
| 99 | + |
| 100 | + |sys_ping.png| |
| 101 | + |
| 102 | +.. method:: LlmModule.sys_reset(wait_reset_finish=True) -> int |
| 103 | + |
| 104 | + Reset the system. |
| 105 | + |
| 106 | + :param bool wait_reset_finish: Whether to wait for reset completion. |
| 107 | + :return: Result of the reset command. |
| 108 | + :rtype: int |
| 109 | + |
| 110 | + UIFLOW2: |
| 111 | + |
| 112 | + |sys_reset.png| |
| 113 | + |
| 114 | +.. method:: LlmModule.sys_reboot() -> int |
| 115 | + |
| 116 | + Reboot the system. |
| 117 | + |
| 118 | + :return: Result of the reboot command. |
| 119 | + :rtype: int |
| 120 | + |
| 121 | + UIFLOW2: |
| 122 | + |
| 123 | + |sys_reboot.png| |
| 124 | + |
| 125 | +.. method:: LlmModule.llm_setup(prompt="", model="qwen2.5-0.5b", response_format="llm.utf-8.stream", input="llm.utf-8.stream", enoutput=True, enkws=True, max_token_len=127, request_id="llm_setup") -> str |
| 126 | + |
| 127 | + Set up the LLM module. |
| 128 | + |
| 129 | + :param str prompt: The prompt text. |
| 130 | + :param str model: The model name. |
| 131 | + :param str response_format: The response format. |
| 132 | + :param str input: The input format. |
| 133 | + :param bool enoutput: Enable output. |
| 134 | + :param bool enkws: Enable keyword spotting. |
| 135 | + :param int max_token_len: Maximum token length. |
| 136 | + :param str request_id: Request ID. |
| 137 | + :return: Result of the setup command. |
| 138 | + :rtype: str |
| 139 | + |
| 140 | + UIFLOW2: |
| 141 | + |
| 142 | + |llm_setup.png| |
| 143 | + |
| 144 | +.. method:: LlmModule.llm_inference(work_id, input_data, request_id="llm_inference") -> str |
| 145 | + |
| 146 | + Perform inference with the LLM module. |
| 147 | + |
| 148 | + :param work_id: The work ID. |
| 149 | + :param input_data: The input data. |
| 150 | + :param str request_id: Request ID. |
| 151 | + :return: Result of the inference command. |
| 152 | + :rtype: str |
| 153 | + |
| 154 | + UIFLOW2: |
| 155 | + |
| 156 | + |llm_inference.png| |
| 157 | + |
| 158 | +.. method:: LlmModule.audio_setup(capcard=0, capdevice=0, cap_volume=0.5, playcard=0, playdevice=1, play_volume=0.15, request_id="audio_setup") -> str |
| 159 | + |
| 160 | + Set up the audio module. |
| 161 | + |
| 162 | + :param int capcard: Capture card index. |
| 163 | + :param int capdevice: Capture device index. |
| 164 | + :param float cap_volume: Capture volume. |
| 165 | + :param int playcard: Playback card index. |
| 166 | + :param int playdevice: Playback device index. |
| 167 | + :param float play_volume: Playback volume. |
| 168 | + :param str request_id: Request ID. |
| 169 | + :return: Result of the setup command. |
| 170 | + :rtype: str |
| 171 | + |
| 172 | + UIFLOW2: |
| 173 | + |
| 174 | + |audio_setup.png| |
| 175 | + |
| 176 | +.. method:: LlmModule.tts_setup(model="single_speaker_english_fast", response_format="tts.base64.wav", input="tts.utf-8.stream", enoutput=True, enkws=True, request_id="tts_setup") -> str |
| 177 | + |
| 178 | + Set up the TTS module. |
| 179 | + |
| 180 | + :param str model: TTS model name. |
| 181 | + :param str response_format: The response format. |
| 182 | + :param str input: The input format. |
| 183 | + :param bool enoutput: Enable output. |
| 184 | + :param bool enkws: Enable keyword spotting. |
| 185 | + :param str request_id: Request ID. |
| 186 | + :return: Result of the setup command. |
| 187 | + :rtype: str |
| 188 | + |
| 189 | + UIFLOW2: |
| 190 | + |
| 191 | + |tts_setup.png| |
| 192 | + |
| 193 | +.. method:: LlmModule.kws_setup(kws="HELLO", model="sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01", response_format="kws.bool", input="sys.pcm", enoutput=True, request_id="kws_setup") -> str |
| 194 | + |
| 195 | + Set up the KWS module. |
| 196 | + |
| 197 | + :param str kws: Keyword to detect. |
| 198 | + :param str model: KWS model name. |
| 199 | + :param str response_format: The response format. |
| 200 | + :param str input: The input format. |
| 201 | + :param bool enoutput: Enable output. |
| 202 | + :param str request_id: Request ID. |
| 203 | + :return: Result of the setup command. |
| 204 | + :rtype: str |
| 205 | + |
| 206 | + UIFLOW2: |
| 207 | + |
| 208 | + |kws_setup.png| |
| 209 | + |
| 210 | +.. method:: LlmModule.asr_setup(model="sherpa-ncnn-streaming-zipformer-20M-2023-02-17", response_format="asr.utf-8.stream", input="sys.pcm", enoutput=True, enkws=True, rule1=2.4, rule2=1.2, rule3=30.0, request_id="asr_setup") -> str |
| 211 | + |
| 212 | + Set up the ASR module. |
| 213 | + |
| 214 | + :param str model: ASR model name. |
| 215 | + :param str response_format: The response format. |
| 216 | + :param str input: The input format. |
| 217 | + :param bool enoutput: Enable output. |
| 218 | + :param bool enkws: Enable keyword spotting. |
| 219 | + :param float rule1: Rule 1 value. |
| 220 | + :param float rule2: Rule 2 value. |
| 221 | + :param float rule3: Rule 3 value. |
| 222 | + :param str request_id: Request ID. |
| 223 | + :return: Result of the setup command. |
| 224 | + :rtype: str |
| 225 | + |
| 226 | + UIFLOW2: |
| 227 | + |
| 228 | + |asr_setup.png| |
| 229 | + |
| 230 | +.. method:: LlmModule.get_latest_llm_work_id() -> str |
| 231 | + |
| 232 | + Get latest LLM module work id. |
| 233 | + |
| 234 | + :return: Latest LLM module work id. |
| 235 | + :rtype: str |
| 236 | + |
| 237 | + UIFLOW2: |
| 238 | + |
| 239 | + |get_latest_llm_work_id.png| |
| 240 | + |
| 241 | +.. method:: LlmModule.get_latest_audio_work_id() -> str |
| 242 | + |
| 243 | + Get latest Audio module work id. |
| 244 | + |
| 245 | + :return: Latest Audio module work id. |
| 246 | + :rtype: str |
| 247 | + |
| 248 | + UIFLOW2: |
| 249 | + |
| 250 | + |get_latest_audio_work_id.png| |
| 251 | + |
| 252 | +.. method:: LlmModule.get_latest_tts_work_id() -> str |
| 253 | + |
| 254 | + Get latest TTS module work id. |
| 255 | + |
| 256 | + :return: Latest TTS module work id. |
| 257 | + :rtype: str |
| 258 | + |
| 259 | + UIFLOW2: |
| 260 | + |
| 261 | + |get_latest_tts_work_id.png| |
| 262 | + |
| 263 | +.. method:: LlmModule.get_latest_kws_work_id() -> str |
| 264 | + |
| 265 | + Get latest KWS module work id. |
| 266 | + |
| 267 | + :return: Latest KWS module work id. |
| 268 | + :rtype: str |
| 269 | + |
| 270 | + UIFLOW2: |
| 271 | + |
| 272 | + |get_latest_kws_work_id.png| |
| 273 | + |
| 274 | +.. method:: LlmModule.get_latest_asr_work_id() -> str |
| 275 | + |
| 276 | + Get latest ASR module work id. |
| 277 | + |
| 278 | + :return: Latest ASR module work id. |
| 279 | + :rtype: str |
| 280 | + |
| 281 | + UIFLOW2: |
| 282 | + |
| 283 | + |get_latest_asr_work_id.png| |
| 284 | + |
| 285 | +.. method:: LlmModule.get_latest_error_code() -> int |
| 286 | + |
| 287 | + Get latest ModuleLLM response error code. |
| 288 | + |
| 289 | + :return: Latest ModuleLLM response error code. |
| 290 | + :rtype: int |
| 291 | + |
| 292 | + UIFLOW2: |
| 293 | + |
| 294 | + |get_latest_error_code.png| |
| 295 | + |
| 296 | +.. method:: LlmModule.begin_voice_assistant(wake_up_keyword="HELLO", prompt="") -> bool |
| 297 | + |
| 298 | + Begin the voice assistant. |
| 299 | + |
| 300 | + :param str wake_up_keyword: The wake-up keyword. |
| 301 | + :param str prompt: The assistant prompt. |
| 302 | + :return: True if the voice assistant began successfully, False otherwise. |
| 303 | + :rtype: bool |
| 304 | + |
| 305 | + UIFLOW2: |
| 306 | + |
| 307 | + |begin_voice_assistant.png| |
| 308 | + |
| 309 | +.. method:: LlmModule.set_voice_assistant_on_keyword_detected_callback(on_keyword_detected) -> None |
| 310 | + |
| 311 | + Set the callback for when the wake-up keyword is detected. |
| 312 | + |
| 313 | + :param on_keyword_detected: Callback function to be executed on keyword detection. |
| 314 | + |
| 315 | + UIFLOW2: |
| 316 | + |
| 317 | + |set_voice_assistant_on_keyword_detected_callback.png| |
| 318 | + |
| 319 | +.. method:: LlmModule.set_voice_assistant_on_asr_data_input_callback(on_asr_data_input) -> None |
| 320 | + |
| 321 | + Set the callback for when ASR data is input. |
| 322 | + |
| 323 | + :param on_asr_data_input: Callback function to handle ASR data input. |
| 324 | + |
| 325 | + UIFLOW2: |
| 326 | + |
| 327 | + |set_voice_assistant_on_asr_data_input_callback.png| |
| 328 | + |
| 329 | +.. method:: LlmModule.set_voice_assistant_on_llm_data_input_callback(on_llm_data_input) -> None |
| 330 | + |
| 331 | + Set the callback for when LLM data is input. |
| 332 | + |
| 333 | + :param on_llm_data_input: Callback function to handle LLM data input. |
| 334 | + |
| 335 | + UIFLOW2: |
| 336 | + |
| 337 | + |set_voice_assistant_on_llm_data_input_callback.png| |
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