v0.1.7

• Package and naming

  • Renamed import surface to veotools; published-friendly pyproject.toml with console scripts (veo, veo-mcp)
  • Clean runtime deps; optional extra veotools[mcp]
  • Version sync; added LICENSE and release version-check script

• SDK improvements

  • Generation: added aspect_ratio, negative_prompt, person_generation passthrough (validated AR per model)
  • Output metadata: precise via ffprobe with OpenCV fallback
  • Storage: defaults to current working directory ./output (env override VEO_OUTPUT_DIR)
  • Model discovery: list_models(include_remote) with on-disk cache (10 min)

• MCP surface

  • Job lifecycle: generate_start, generate_get(wait_ms), generate_cancel
  • High-level: continue_video(video_path, prompt, …) (generate-and-stitch, progress streaming)
  • Resources: videos://recent/{limit}, job://{job_id}
  • Built-in server entry point: veo-mcp (stdio), with detailed parameter docstrings

• CLI

  • veo preflight, veo list-models, veo generate, veo continue
  • Flags: --model, --aspect-ratio, --negative-prompt, --person-generation, --extract-at, --overlap, --json
  • Progress bar output; paths saved under ./output

• Examples and docs

  • Examples updated to use model discovery and current APIs
  • README tightened: features, SDK quick start, CLI usage, MCP usage, Cursor mcp.json examples
  • Removed noisy sections; clarified behavior (overlap trim, storage location)

• Cleanup

  • Deleted temporary veo_stitch.py demo
  • Added GitHub Actions workflow guidance for Trusted Publishing (OIDC)

Impact

• One-command MCP server and CLI
• Safer, more configurable generation
• Better defaults (local output), richer metadata, clear docs and UX