Agnes AI Generation

Call Agnes AI / Sapiens AI generation APIs for text, image, and video. Use when the user asks to use Agnes models, Agnes Image, Agnes Video, Agnes 2.0 Flash, apihub.agnes-ai.com, or to generate text, images, edit images, create videos, animate images, create keyframe videos, or test Agnes API calls.

yacey 15c79e7 5 files · 23.6 KB Updated Sep 9, 2026

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Works with: Claude Code Claude.ai OpenAI Codex +

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Agnes AI Generation

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

Quick Start

Read references/api.md when endpoint details, parameters, or response fields are needed.
Use scripts/agnes_api.py for real API calls instead of rewriting curl by hand.
Require an API key in AGNES_API_KEY, AGNES_API_TOKEN, or APIHUB_AGNES_API_KEY. Never print the key.
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.

Current Validation Notes

Confirmed locally: skill metadata validation and Python syntax.
Confirmed by live API: basic text, streaming text, tool-calling request shape, text-to-image, image-to-image, high-information-density text-to-image, Chinese prompt translation for image/video, completed text-to-video URL retrieval, and completed image-to-video URL retrieval.
Caveat: Agnes may accept tool-calling request parameters without consistently returning tool_calls; use smoke-test --strict-tools when strict tool-call validation is required.
Caveat: Agnes Responses API multi-turn function calling is not reliable for agent tool loops; do not rely on it for Codex/Claude-style automatic tool continuation.
Supported by the script and smoke-test selector, but not re-run end-to-end in the latest pass: multi-image video and keyframe animation.
Not yet confirmed end-to-end: completed URL retrieval for every multi-image video and keyframe animation task. A previous text-to-video task returned a provider-side division by zero error, so keep video retries visible and report provider errors clearly.

Output Handling

Return generated image/video URLs directly by default. Do not download, save, open, or inspect generated media unless the user explicitly asks for a local file or visual inspection.
For image responses, expect URL-style results when extra_body.response_format is url.
For video responses, extract URLs from video_url, url, or remixed_from_video_id when status is completed.
For video retrieval, prefer GET /agnesapi?video_id=...&model_name=agnes-video-v2.0; legacy GET /v1/videos/{task_id} remains a fallback.
If a request fails, report HTTP status and provider error body without exposing the API key.

---name: agnes-ai-generationdescription: Call Agnes AI / Sapiens AI generation APIs for text, image, and video. Use when the user asks to use Agnes models, Agnes Image, Agnes Video, Agnes 2.0 Flash, apihub.agnes-ai.com, or to generate text, images, edit images, create videos, animate images, create keyframe videos, or test Agnes API calls.--- # 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: ```bash python scripts/agnes_api.py text --prompt "Write a concise product tagline for an AI assistant." ``` Streaming text: ```bash 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: ```bash python scripts/agnes_api.py image --prompt "A luminous floating city above a misty canyon at sunrise, cinematic realism" --size 1024x768 ``` Image-to-image: ```bash 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: ```bash python scripts/agnes_api.py video --prompt "A cinematic shot of a cat walking on the beach at sunset" --poll ``` Image-to-video: ```bash 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: ```bash 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: ```bash python scripts/agnes_api.py video-get video_123456 ``` Light live smoke test: ```bash python scripts/agnes_api.py smoke-test ``` Image edit smoke test: ```bash python scripts/agnes_api.py smoke-test --include-image-edit ``` Single video smoke test: ```bash 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`. ## Current Validation Notes - Confirmed locally: skill metadata validation and Python syntax. - Confirmed by live API: basic text, streaming text, tool-calling request shape, text-to-image, image-to-image, high-information-density text-to-image, Chinese prompt translation for image/video, completed text-to-video URL retrieval, and completed image-to-video URL retrieval. - Caveat: Agnes may accept tool-calling request parameters without consistently returning `tool_calls`; use `smoke-test --strict-tools` when strict tool-call validation is required. - Caveat: Agnes Responses API multi-turn function calling is not reliable for agent tool loops; do not rely on it for Codex/Claude-style automatic tool continuation. - Supported by the script and smoke-test selector, but not re-run end-to-end in the latest pass: multi-image video and keyframe animation. - Not yet confirmed end-to-end: completed URL retrieval for every multi-image video and keyframe animation task. A previous text-to-video task returned a provider-side `division by zero` error, so keep video retries visible and report provider errors clearly. ## Output Handling - Return generated image/video URLs directly by default. Do not download, save, open, or inspect generated media unless the user explicitly asks for a local file or visual inspection. - For image responses, expect URL-style results when `extra_body.response_format` is `url`. - For video responses, extract URLs from `video_url`, `url`, or `remixed_from_video_id` when `status` is `completed`. - For video retrieval, prefer `GET /agnesapi?video_id=...&model_name=agnes-video-v2.0`; legacy `GET /v1/videos/{task_id}` remains a fallback. - If a request fails, report HTTP status and provider error body without exposing the API key.

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