feat: add OrcaRouter streaming text-to-speech example for MOSS-TTS-Realtime - #206
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…altime Add example_orcarouter_stream_to_tts.py, mirroring example_llm_stream_to_tts.py but sourcing streaming text deltas from OrcaRouter's OpenAI-compatible chat completions endpoint, and document it in the MOSS-TTS-Realtime model card.
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What
Adds
moss_tts_realtime/example_orcarouter_stream_to_tts.py, mirroringexample_llm_stream_to_tts.pybut sourcing the streaming text deltas from OrcaRouter — an OpenAI-compatible AI gateway for models and agents — instead of a simulated generator. OrcaRouter exposes a provider/model namespace (e.g.deepseek/deepseek-chat,orcarouter/autofor adaptive routing) behind a single base URL, so MOSS-TTS-Realtime users get a real LLM text stream into the same streaming TTS pipeline. It also runs gateway-level, zero-trust security for AI agents on the same endpoint — screening every prompt/response and governing every tool call on a default-deny basis, with no application code changes.Documented in the MOSS-TTS-Realtime model card (
docs/moss_tts_realtime_model_card.md) next to the existing single-turn streaming usage.Validation
python3 -m py_compilepasses on the new example.orcarouter_text_stream()against OrcaRouter's/v1/chat/completions(HTTP 200, streamed text deltas).I'm an engineer on the OrcaRouter team.
Discord: discord.gg/YEubt8enRA · X: https://x.com/OrcaRouter