Ak Ai Multimodal

Features:

• Auto-rotates on rate limit (429/RESOURCE_EXHAUSTED) errors
• 60-second cooldown per key after rate limit
• Logs rotation events with --verbose flag
• Backward compatible: single key still works

Quick Start

Verify setup: python scripts/check_setup.py Analyze media: python scripts/gemini_batch_process.py --files <file> --task <analyze|transcribe|extract>

• TIP: When you're asked to analyze an image, check if gemini command is available, then use echo "<prompt to analyze image>" | gemini -y -m <gemini.model> command (read model from .claude/.ak.json: gemini.model). If gemini command is not available, use python scripts/gemini_batch_process.py --files <file> --task analyze command. Generate content: python scripts/gemini_batch_process.py --task <generate|generate-video> --prompt "description"

Stdin support: You can pipe files directly via stdin (auto-detects PNG/JPG/PDF/WAV/MP3).

• cat image.png | python scripts/gemini_batch_process.py --task analyze --prompt "Describe this"
• python scripts/gemini_batch_process.py --files image.png --task analyze (traditional)

Models

• Image generation: imagen-4.0-generate-001 (standard), imagen-4.0-ultra-generate-001 (quality), imagen-4.0-fast-generate-001 (speed)
• Video generation: veo-3.1-generate-preview (8s clips with audio)
• Analysis: gemini-2.5-flash (recommended), gemini-2.5-pro (advanced)

Scripts

• gemini_batch_process.py: CLI orchestrator for transcribe|analyze|extract|generate|generate-video that auto-resolves API keys, picks sensible default models per task, streams files inline vs File API, and saves structured outputs (text/JSON/CSV/markdown plus generated assets) for Imagen 4 + Veo workflows.
• media_optimizer.py: ffmpeg/Pillow-based preflight tool that compresses/resizes/converts audio, image, and video inputs, enforces target sizes/bitrates, splits long clips into hour chunks, and batch-processes directories so media stays within Gemini limits.
• document_converter.py: Gemini-powered converter that uploads PDFs/images/Office docs, applies a markdown-preserving prompt, batches multiple files, auto-names outputs under docs/assets, and exposes CLI flags for model, prompt, auto-file naming, and verbose logging.
• check_setup.py: Interactive readiness checker that verifies directory layout, centralized env resolver, required Python deps, and GEMINI_API_KEY availability/format, then performs a live Gemini API call and prints remediation instructions if anything fails.

Use --help for options.

References

Load for detailed guidance:

Limits

Formats: Audio (WAV/MP3/AAC, 9.5h), Images (PNG/JPEG/WEBP, 3.6k), Video (MP4/MOV, 6h), PDF (1k pages) Size: 20MB inline, 2GB File API Important:

• If you are going to generate a transcript of the audio, and the audio length is longer than 15 minutes, the transcript often gets truncated due to output token limits in the Gemini API response. To get the full transcript, you need to split the audio into smaller chunks (max 15 minutes per chunk) and transcribe each segment for a complete transcript.
• If you are going to generate a transcript of the video and the video length is longer than 15 minutes, use ffmpeg to extract the audio from the video, truncate the audio to 15 minutes, transcribe all audio segments, and then combine the transcripts into a single transcript. Transcription Output Requirements:
• Format: Markdown
• Metadata: Duration, file size, generated date, description, file name, topics covered, etc.
• Parts: from-to (e.g., 00:00-00:15), audio chunk name, transcript, status, etc.
• Transcript format:

  [HH:MM:SS -> HH:MM:SS] transcript content
  [HH:MM:SS -> HH:MM:SS] transcript content
  ...
  

Resources

• API Docs
• Pricing