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* feat: add MiniMax provider support (Chat + TTS) - Add MiniMax LLM provider using OpenAI-compatible API - Models: MiniMax-M2.7, MiniMax-M2.7-highspeed - Default base URL: https://api.minimax.io/v1 - Uses MINIMAX_API_KEY for authentication - Add MiniMax TTS provider using Pipecat's MiniMaxHttpTTSService - Models: speech-2.8-hd (default), speech-2.8-turbo - 6 built-in voices - Requires group_id configuration - Add unit tests for both providers * fix(minimax): validator, temperature, session cleanup, reasoning filter - check_validity.py: wire MiniMax into _validator_map and enforce group_id at save time. Without this, saving a config with a valid key was rejected. - registry.py: surface temperature on the LLM config (gt=0; MiniMax rejects 0) and base_url on the TTS config - service_factory.py: * Plumb temperature through create_llm_service * Normalize TTS base_url to include /t2a_v2 — pipecat appends only ?GroupId=... to the URL. * Use the new MiniMaxLLMService (from pipecat) to strip <think>...</think> reasoning that MiniMax-M2.7 emits inline in delta.content (otherwise it leaks straight to TTS). * Use MiniMaxOwnedSessionTTSService so the per-instance aiohttp session gets closed in cleanup() instead of leaking sockets/FDs. - minimax_tts.py: small wrapper around MiniMaxHttpTTSService that owns the session it was handed (pipecat's caller-owns-session API conflicts with the ftory's per-instance pattern). - pipecat submodule: bumps to a commit that adds MiniMaxLLMService — a thin OpenAILLMService subclass with the streaming <think> filter (mirrors NvidiaLLMService's pattern for NIM reasoning models). - Tests updated/added for all of the above. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: octo-patch <octo-patch@github.com> Co-authored-by: Sabiha Khan <sabihak89@gmail.com>
126 lines
4.7 KiB
Python
126 lines
4.7 KiB
Python
from types import SimpleNamespace
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from unittest.mock import patch
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from pipecat.services.minimax.llm import MiniMaxLLMService as RealMiniMaxLLMService
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from api.services.configuration.registry import (
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MiniMaxLLMConfiguration,
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MiniMaxTTSConfiguration,
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ServiceProviders,
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)
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from api.services.pipecat.service_factory import (
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create_llm_service_from_provider,
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create_tts_service,
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)
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class TestMiniMaxLLMConfiguration:
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def test_default_values(self):
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config = MiniMaxLLMConfiguration(api_key="test-key")
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assert config.provider == ServiceProviders.MINIMAX
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assert config.model == "MiniMax-M2.7"
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assert config.base_url == "https://api.minimax.io/v1"
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def test_custom_model(self):
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config = MiniMaxLLMConfiguration(
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api_key="test-key", model="MiniMax-M2.7-highspeed"
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)
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assert config.model == "MiniMax-M2.7-highspeed"
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def test_custom_base_url(self):
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config = MiniMaxLLMConfiguration(
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api_key="test-key", base_url="https://api.minimaxi.com/v1"
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)
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assert config.base_url == "https://api.minimaxi.com/v1"
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class TestMiniMaxTTSConfiguration:
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def test_default_values(self):
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config = MiniMaxTTSConfiguration(api_key="test-key", group_id="test-group")
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assert config.provider == ServiceProviders.MINIMAX
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assert config.model == "speech-2.8-hd"
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assert config.voice == "English_Graceful_Lady"
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assert config.speed == 1.0
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assert config.group_id == "test-group"
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class TestMiniMaxLLMServiceFactory:
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def test_create_minimax_llm_service_uses_openai_compatible(self):
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with patch(
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"api.services.pipecat.service_factory.MiniMaxLLMService"
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) as mock_service:
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mock_service.Settings = RealMiniMaxLLMService.Settings
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create_llm_service_from_provider(
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provider=ServiceProviders.MINIMAX.value,
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model="MiniMax-M2.7",
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api_key="test-key",
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)
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assert mock_service.call_count == 1
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kwargs = mock_service.call_args.kwargs
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assert kwargs["api_key"] == "test-key"
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assert kwargs["base_url"] == "https://api.minimax.io/v1"
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assert kwargs["settings"].model == "MiniMax-M2.7"
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assert kwargs["settings"].temperature == 1.0
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def test_create_minimax_llm_service_custom_base_url(self):
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with patch(
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"api.services.pipecat.service_factory.MiniMaxLLMService"
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) as mock_service:
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mock_service.Settings = RealMiniMaxLLMService.Settings
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create_llm_service_from_provider(
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provider=ServiceProviders.MINIMAX.value,
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model="MiniMax-M2.7-highspeed",
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api_key="test-key",
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base_url="https://api.minimaxi.com/v1",
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)
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kwargs = mock_service.call_args.kwargs
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assert kwargs["base_url"] == "https://api.minimaxi.com/v1"
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assert kwargs["settings"].model == "MiniMax-M2.7-highspeed"
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def test_create_minimax_llm_service_passes_user_temperature(self):
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with patch(
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"api.services.pipecat.service_factory.MiniMaxLLMService"
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) as mock_service:
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mock_service.Settings = RealMiniMaxLLMService.Settings
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create_llm_service_from_provider(
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provider=ServiceProviders.MINIMAX.value,
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model="MiniMax-M2.7",
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api_key="test-key",
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temperature=0.3,
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)
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kwargs = mock_service.call_args.kwargs
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assert kwargs["settings"].temperature == 0.3
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class TestMiniMaxTTSServiceFactory:
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def test_create_minimax_tts_service(self):
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user_config = SimpleNamespace(
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tts=SimpleNamespace(
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provider=ServiceProviders.MINIMAX.value,
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api_key="test-key",
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model="speech-2.8-hd",
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voice="English_Graceful_Lady",
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speed=1.0,
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base_url="https://api.minimax.io/v1",
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group_id="test-group",
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)
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)
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audio_config = SimpleNamespace(transport_in_sample_rate=16000)
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with patch(
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"api.services.pipecat.service_factory.aiohttp.ClientSession"
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), patch(
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"api.services.pipecat.service_factory.MiniMaxOwnedSessionTTSService"
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) as mock_service:
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create_tts_service(user_config, audio_config)
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assert mock_service.call_count == 1
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kwargs = mock_service.call_args.kwargs
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assert kwargs["api_key"] == "test-key"
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assert kwargs["group_id"] == "test-group"
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assert kwargs["settings"].model == "speech-2.8-hd"
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assert kwargs["settings"].voice == "English_Graceful_Lady"
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assert kwargs["settings"].speed == 1.0
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assert kwargs["aiohttp_session"] is not None
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