Agnes AI Generation

Agnes AI Generation

Use this skill to call Agnes text, image, and video generation APIs through https://apihub.agnes-ai.com.

Quick Start

1. Read references/api.md when endpoint details, parameters, or response fields are needed.
2. Use scripts/agnes_api.py for real API calls instead of rewriting curl by hand.
3. Require an API key in AGNES_API_KEY, AGNES_API_TOKEN, or APIHUB_AGNES_API_KEY. Never print the key.
4. For light live verification, run smoke-test; it avoids video creation by default. Add --include-image-edit for image-to-image, and add --video-case <case> explicitly for video modes. Treat the skill as fully tested only when basic text, text streaming, text tool calling, text-to-image, image-to-image, text-to-video, image-to-video, multi-image video, keyframe video, and video retrieval return successful responses.

Commands

Text generation:

python scripts/agnes_api.py text --prompt "Write a concise product tagline for an AI assistant."

Streaming text:

python scripts/agnes_api.py text --prompt "Write a short product intro." --stream

Streaming output is normalized and includes aggregated content, events, done, and a short raw_prefix.

Image generation:

python scripts/agnes_api.py image --prompt "A luminous floating city above a misty canyon at sunrise, cinematic realism" --size 1024x768

Image-to-image:

python scripts/agnes_api.py image --prompt "Turn the scene into a rainy cyberpunk night while preserving composition" --image https://example.com/input.png --size 1024x768

Text-to-video with polling:

python scripts/agnes_api.py video --prompt "A cinematic shot of a cat walking on the beach at sunset" --poll

Image-to-video:

python scripts/agnes_api.py video --prompt "Animate subtle camera movement and natural lighting" --image https://example.com/image.png --poll

Keyframe / multi-image video:

python scripts/agnes_api.py video --prompt "Create a smooth cinematic transition between the two keyframes" --image https://example.com/a.png --image https://example.com/b.png --mode keyframes --poll

Retrieve a video task:

python scripts/agnes_api.py video-get video_123456

Light live smoke test:

python scripts/agnes_api.py smoke-test

Image edit smoke test:

python scripts/agnes_api.py smoke-test --include-image-edit

Single video smoke test:

python scripts/agnes_api.py smoke-test --video-case text-to-video

Workflow

• Prefer agnes-2.0-flash for text chat/completions.
• Do not use Agnes Responses API multi-turn function calling for autonomous tool workflows. Live testing showed the provider can return function_call with overall status=completed, and submitting function_call_output with previous_response_id may fail. Use this skill's chat completions path for text generation and treat tool-calling as best-effort request-shape compatibility only.
• Prefer agnes-image-2.1-flash for text-to-image, image-to-image, and high-information-density image generation. High-density generation is prompt-driven; include subject hierarchy, environment, secondary details, lighting, composition, and quality requirements.
• Prefer agnes-video-v2.0 for text-to-video, image-to-video, multi-image video, keyframe animation, prompt-based motion and scene control, cinematic output, asynchronous task creation, polling-based result retrieval, and seed-based reproducibility.
• For image and video generation, convert any non-English user prompt to a fluent English generation prompt before calling the image/video API. English prompts are more stable for Agnes video generation. Preserve concrete visual details, style, lighting, composition, motion, camera instructions, and constraints during translation.
• For videos, remember the API is asynchronous: create a task first, then poll or retrieve by video_id when the create response includes it. The script falls back to legacy task_id lookup only when video_id is absent.
• The script validates image sizes, video frame counts, frame rates, and dimensions before sending requests. num_frames must be 8n + 1 and <= 441; 81 or 121 are good short values.
• The video command defaults to num_frames=121 and frame_rate=24 for more stable generation. Video smoke tests default to num_frames=81 and frame_rate=24.
• Warn the user before costly or long-running live video generation unless they explicitly asked to test or generate video.
• Test video capabilities one at a time with smoke-test --video-case <case> to avoid creating many tasks at once. Supported cases are text-to-video, image-to-video, multi-image, and keyframes.