Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ag2ai/ag2-skills --skill ag2-multimodal-inputgit clone --depth 1 https://github.com/ag2ai/ag2-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-multimodal-input)<a href="https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-multimodal-input"><img src="https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-multimodal-input/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ag2ai/ag2-skills/ag2-multimodal-input"><img src="https://agentmods.dev/badge/skills/ag2ai/ag2-skills/ag2-multimodal-input.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00138 | $0.01785 |
| Opus 5 | $0.00069 | $0.00892 |
| Sonnet 5 | $0.00028 | $0.00357 |
| Haiku 4.5 | $0.00014 | $0.00178 |
Grade A, and why
ag2-multimodal-input scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multimodal inputs
When to use
The user wants the agent to process non-text input: an image to describe, audio to transcribe, video to summarise, or a PDF / document to extract from. The same factory pattern works across providers; per-provider support varies.
60-second recipe
from ag2 import Agent
from ag2.config import GeminiConfig
from ag2.events import ImageInput
agent = Agent(
"vision",
"You describe images.",
config=GeminiConfig(model="gemini-3-flash-preview"),
)
image = ImageInput("https://example.com/photo.jpg")
reply = await agent.ask("Describe this image in detail.", image)
print(reply.body)
Multiple inputs in one ask are fine:
reply = await agent.ask(
"Compare these two images.",
ImageInput("https://example.com/before.jpg"),
ImageInput("https://example.com/after.jpg"),
)
Input factories
| Factory | Formats |
|---|---|
ImageInput(...) |
JPEG, PNG, GIF, WebP |
AudioInput(...) |
WAV, MP3, OGG, FLAC, AAC |
VideoInput(...) |
MP4, WebM, MOV, MKV, MPEG |
DocumentInput(...) |
PDF, TXT, HTML, Markdown, CSV, JSON, Office formats |
Each accepts the same four data sources:
from ag2.events import ImageInput
ImageInput("https://example.com/photo.jpg") # URL
ImageInput(path="photo.jpg") # local file
ImageInput(data=raw_bytes, media_type="image/png") # bytes
ImageInput(file_id="file-abc123") # provider-uploaded
Provider matrix
| Input type | OpenAI | OpenAI Responses | Gemini | Anthropic |
|---|---|---|---|---|
| Text | ✓ | ✓ | ✓ | ✓ |
| Image (URL) | ✓ | ✓ | ✓ | ✓ |
| Image (binary) | ✓ | ✓ | ✓ | ✓ |
| Audio (URL) | – | – | ✓ | – |
| Audio (binary) | ✓ | – | ✓ | – |
| Video (URL) | – | – | ✓ | – |
| Video (binary) | – | – | ✓ | – |
| Document (URL) | – | ✓ | ✓ | ✓ |
| Document (binary) | ✓ | ✓ | ✓ | ✓ |
| File ID | ✓ | ✓ | ✓ | ✓ |
Unsupported combinations raise UnsupportedInputError with a clear message.
Gemini has the broadest multimodal support. If you don't know which provider to pick for a multimodal task, start there.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 191 lines · 138 tokens per session scan A 79a0bd753267
ag2-multimodal-input is a skill published in the GitHub repository ag2ai/ag2-skills (10 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 138 tokens to every session and 1,785 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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