feat: int testing docs

README.md

@@ -144,6 +144,7 @@ Configuration lives in `~/.config/hyprvoice/config.toml` and hot-reloads automat
 - `docs/providers.md` - provider and model details
 - `docs/architecture.md` - architecture and adapter overview
 - `docs/structure.md` - code map and entry points
+- `docs/testing.md` - integration testing with test-models
 
 ## Troubleshooting
 

docs/architecture.md

@@ -100,6 +100,7 @@ Common extension points:
   - Implement a `BatchAdapter` or `StreamingAdapter` in `internal/transcriber/`.
   - Add adapter constants in `internal/provider/names.go`.
   - Update provider docs in `docs/providers.md`.
+  - Run `hyprvoice test-models` to verify the integration (see `docs/testing.md`).
 
 - Add a new injection backend:
   - Implement `Backend` in `internal/injection/`.

docs/structure.md

@@ -5,7 +5,7 @@ This doc explains how the CLI, daemon, and pipeline fit together and where to st
 ## Top-level layout
 - cmd/hyprvoice: CLI entrypoint and commands
 - internal/: core packages
-- docs/: user and developer docs
+- docs/: user and developer docs (config, providers, architecture, structure, testing)
 - packaging/: AUR and systemd packaging
 - .github/workflows/: CI and release workflows
 

docs/testing.md

@@ -0,0 +1,179 @@
+# Integration Testing
+
+This doc covers `test-models`, the e2e test command for validating provider APIs work correctly.
+
+## When to Run
+
+Run `test-models` when:
+- adding a new provider or model
+- updating provider adapters
+- debugging API connectivity issues
+- verifying API keys are valid
+- before releases (CI runs this automatically)
+
+## Quick Start
+
+```bash
+# test all configured providers (requires API keys)
+hyprvoice test-models
+
+# output results to json
+hyprvoice test-models --output results.json
+```
+
+## What It Tests
+
+The command validates:
+1. **Transcription providers**: sends a sample audio file through each model and verifies a transcription is returned
+2. **LLM providers**: sends a test phrase through each model and verifies post-processing works
+
+For each model, it reports:
+- pass: API responded with valid output
+- fail: API error or timeout
+- skip: missing API key or dependency (e.g. whisper-cli not installed)
+
+## API Keys
+
+Keys are resolved from config or environment variables:
+- `OPENAI_API_KEY`
+- `GROQ_API_KEY`
+- `DEEPGRAM_API_KEY`
+- `ELEVENLABS_API_KEY`
+- `MISTRAL_API_KEY`
+
+Models without a valid key are skipped (not failed).
+
+## Options
+
+| Flag | Default | Description |
+|------|---------|-------------|
+| `--audio` | (downloaded sample) | custom WAV file to use |
+| `--record-seconds` | 0 | record mic instead of using a file (e.g. `5s`) |
+| `--timeout` | 45s | per-model timeout |
+| `--output` | (none) | write JSON report to file |
+| `--realtime` | true | pace streaming chunks in real time |
+| `--both-modes` | true | test batch+streaming models in both modes |
+| `--local-model` | (smallest) | whisper-cpp model to test |
+| `--download-local` | false | download local model if missing |
+| `--language` | en | language code for tests |
+| `--keywords` | Hyprvoice,transcription,dictation | keywords for provider hints |
+| `--no-keywords` | false | skip keyword hints |
+| `--no-language` | false | use auto-detect instead of explicit language |
+
+## Examples
+
+```bash
+# basic run - uses downloaded sample audio
+hyprvoice test-models
+
+# use your own audio file
+hyprvoice test-models --audio ~/voice-sample.wav
+
+# record 5 seconds from mic
+hyprvoice test-models --record-seconds 5s
+
+# longer timeout for slow connections
+hyprvoice test-models --timeout 90s
+
+# test local whisper-cpp with specific model
+hyprvoice test-models --local-model base.en --download-local
+
+# json report for CI
+hyprvoice test-models --output test-results.json
+```
+
+## Output
+
+Terminal output shows pass/fail/skip for each model:
+
+```
+test-models: total=25 pass=18 fail=2 skip=5
+audio: /home/user/.cache/hyprvoice/testaudio.wav
+pass openai/whisper-1 batch 1234ms output="She had your dark suit..."
+pass openai/gpt-4o-transcribe batch 2156ms output="She had your dark suit..."
+pass groq-transcription/whisper-large-v3 batch 456ms output="She had your dark suit..."
+skip deepgram/nova-3 batch error=missing api key
+fail mistral-transcription/voxtral-mini-latest batch 45000ms error=context deadline exceeded
+pass openai/gpt-4o-mini llm 892ms output="I want to test Hyprvoice..."
+```
+
+JSON report (`--output`) includes full details:
+
+```json
+{
+  "started_at": "2024-01-15T10:30:00Z",
+  "audio_src": "/home/user/.cache/hyprvoice/testaudio.wav",
+  "results": [
+    {
+      "provider": "openai",
+      "model": "whisper-1",
+      "type": "transcription",
+      "mode": "batch",
+      "local": false,
+      "status": "pass",
+      "duration_ms": 1234,
+      "output": "She had your dark suit...",
+      "output_chars": 45
+    }
+  ],
+  "pass_count": 18,
+  "fail_count": 2,
+  "skip_count": 5,
+  "total_count": 25
+}
+```
+
+## CI Integration
+
+The repo includes a GitHub Actions workflow (`.github/workflows/e2e.yml`) that runs `test-models` on demand:
+
+```yaml
+# triggered manually via workflow_dispatch
+./hyprvoice test-models \
+  --timeout=60s \
+  --output=test-models-report.json
+```
+
+Secrets required in repo settings:
+- `OPENAI_API_KEY`
+- `GROQ_API_KEY`
+- `DEEPGRAM_API_KEY`
+- `ELEVENLABS_API_KEY`
+- `MISTRAL_API_KEY`
+
+## Adding a New Provider
+
+When adding a new provider:
+
+1. implement the adapter in `internal/transcriber/` or `internal/llm/`
+2. register models in `internal/provider/`
+3. add env var mapping if needed
+4. run `test-models` to verify:
+   ```bash
+   hyprvoice test-models --output before-merge.json
+   ```
+5. add the API key to CI secrets
+
+## Local Model Testing
+
+whisper-cpp models require:
+- `whisper-cli` binary installed
+- model downloaded (`hyprvoice model download <model>`)
+
+Use `--download-local` to auto-download during test:
+
+```bash
+hyprvoice test-models --local-model tiny.en --download-local
+```
+
+Only the smallest local model is tested by default to save time. If it works, larger models should work too.
+
+## Troubleshooting
+
+**All models skipped**: check API keys are set in env or config
+
+**Timeouts**: increase `--timeout`, check network connectivity
+
+**whisper-cpp skipped**: install `whisper-cli` and download a model
+
+**Streaming failures**: some providers have separate streaming endpoints - check provider docs