amartya-dev a2a0d8c8af feat(stt): add Azure AI Speech as an optional cloud speech-to-text provider ...

Add an Azure AI Speech transcription tool. It is opt-in: when
AZURE_SPEECH_KEY is configured the agent may prefer it for cloud STT,
while the local faster-whisper `transcriber` stays the default offline
path. Shared pipeline manifests are intentionally left unchanged, so no
default provider selection is altered for existing users.

- tools/analysis/azure_stt.py: new `azure_stt` tool (capability=analysis,
  provider=azure) calling the Fast Transcription REST API. The local file
  is uploaded via multipart and transcribed synchronously with word-level
  timestamps and optional diarization — no Blob storage or async polling.
  Output schema mirrors `transcriber` exactly, so it is a drop-in for
  `subtitle_gen` and other transcript consumers. Follows the existing
  provider-tool conventions (env-var status check, `_transcribe` helper,
  cost_usd/model on the result, fallback="transcriber").
- Auto-discovered by the registry; no registry or selector changes.
- tests/tools/test_azure_stt.py: contract, discovery, status, response
  mapping, execute guardrails, and a mocked-network success path (no live
  API calls).
- .agents/skills + .claude/skills: azure-speech-to-text Layer-3 skill.
- docs/PROVIDERS.md: Azure AI Speech setup, API notes, and pricing.
- .env.example, skills/INDEX.md, AGENT_GUIDE.md: document the optional
  cloud STT path alongside the default whisper transcriber.

2026-07-10 23:30:19 +05:30

..

SKILL.md

feat(stt): add Azure AI Speech as an optional cloud speech-to-text provider

2026-07-10 23:30:19 +05:30