For Codex
Last updated September 9, 2026
Codex video generation, image, and web search tools.
Add them through one terminal-native workflow.
Watch Codex install AnyCap from a natural-language prompt — skill discovery, CLI setup, authentication, and first image generation in one uninterrupted flow.
Codex handles code, reasoning, and terminal execution. AnyCap complements that workflow with one CLI surface for image and video generation, media analysis, web search, storage, and publishing, so the task can continue without a separate provider integration for each capability.
Ask Codex for the result you need. The AnyCap skill explains model discovery and CLI usage; install the CLI in the environment running the task and complete login when prompted. Available tools and network access depend on your Codex setup.
One skill. Natural-language install. Immediate capabilities.
Choose a video task
What should Codex do next?
Choose the path that matches the next Codex step. Commands use current AnyCap CLI syntax, while the JSON snippets show representative rather than exhaustive response fields. The 20-credit generation totals are illustrative and vary by model and output settings; every successful video-read request costs a fixed 10 credits.
Generate video from a text brief
Create a new video clip directly from a scene description in the Codex terminal.
Command
anycap video generate --model <model-id> --mode text-to-video --prompt "a short product walkthrough with a slow camera push-in" -o codex-demo.mp4
Result
{
"status": "success",
"local_path": "/workspace/codex-demo.mp4",
"model": "<model-id>",
"credits_used": 20,
"request_id": "req_abc123"
}Additional successful output fields
The JSON above is representative. When available, the CLI may also include:
urltask_idtrace_idhint- Best when
- A new clip should start from a scene you can describe in words.
- Not a fit when
- You need a manual timeline editor or deterministic frame-level control.
Turn an image into video
Animate an existing still while preserving its starting composition or identity.
Command
anycap video generate --model <model-id> --mode image-to-video --prompt "animate this product frame with subtle camera movement" --param images=./product-frame.png -o animated-frame.mp4
Result
{
"status": "success",
"local_path": "/workspace/animated-frame.mp4",
"model": "<model-id>",
"credits_used": 20,
"request_id": "req_def456"
}Additional successful output fields
The JSON above is representative. When available, the CLI may also include:
urltask_idtrace_idhint- Best when
- Composition or identity must begin with an existing still.
- Not a fit when
- The selected model lacks image-to-video support or the still is not ready.
Analyze an existing video
Turn a recording into grounded findings and a useful next step inside the same task.
Command
anycap actions video-read --file ./recording.mp4 --instruction "Summarize the key events, QA findings, and recommended next action"
Result
{
"status": "success",
"content": "The recording shows the checkout modal clipping its submit button on a narrow viewport.",
"credit_cost": 10,
"request_id": "req_ghi789"
}Additional successful output fields
The JSON above is representative. When available, the CLI may also include:
trace_id- Best when
- A recording must become QA notes, extracted content, or a next action.
- Not a fit when
- You need a fixed typed schema for scenes or events.
Get started
Add the skill once.
Then just ask Codex in natural language.
Add the AnyCap skill, install the CLI where Codex will execute commands, and complete AnyCap login. Codex can then inspect supported models and inputs before running a task. Follow the permissions and network settings of your local, worktree, or cloud environment.
Run once
npx -y skills add anycap-ai/anycap -a codex -y
This teaches Codex how to discover and call the AnyCap runtime without changing the way you already work.
Prefer to install manually? Here are the three steps.
Step 1
Install the skill
npx -y skills add anycap-ai/anycap -a codex -y
This teaches Codex how to discover and call the AnyCap runtime.
Step 2
Install the CLI
curl -fsSL https://anycap.ai/install.sh | sh
The CLI is a single binary with no runtime dependencies — it runs inside the Codex sandbox as a standard terminal tool.
Step 3
Log in and verify
anycap login && anycap status
After authentication, Codex can move across image, video, and vision capabilities without new credentials or dashboard detours.
For a full walkthrough, see the install guide.
Why it fits
Built for the way Codex already works
Codex works through the app, CLI, IDE, and cloud. AnyCap supplies a consistent command interface for model selection and asset delivery wherever the task has shell access, authentication, and network permission.
Use the task environment
Install and authenticate AnyCap in the environment where Codex executes commands. A local project, a worktree, and a cloud task can have different filesystem and network settings.
Carry outputs into the next step
Codex can review work in its app as well as run terminal commands. AnyCap returns file paths and usable URLs that the agent can inspect, reference in code, or pass to another task.
One AnyCap authentication flow
Use one AnyCap login for the capabilities exposed by its runtime. This reduces separate provider setup while keeping model and mode selection explicit.
Workflow choices
What you get after those three commands
Keep the tools already available in your Codex environment. Add AnyCap when a task needs a specific model, reusable CLI commands, or a consistent path from generated assets to storage and publishing.
| Capability | Codex environment | Add with AnyCap | Best next step |
|---|---|---|---|
| Image generation | Image tools depend on the configured environment | Generate visuals and mockups via anycap image generate | Image Generation page |
| Video generation | Video tools depend on installed integrations | Create walkthroughs and clips via anycap video generate | Video Generation page |
| Image understanding | Image input and inspection depend on the model and tools | Read screenshots, diagrams, and visual references | Image Understanding page |
| Video analysis | Available recording tools vary by environment | Inspect recordings from the same CLI | Video Analysis page |
| Audio understanding | Audio tools depend on installed integrations | Transcribe and analyze audio through one runtime | Audio Understanding page |
| Web search | Web search can be available in Codex | Search the web from the same capability layer | Web Search page |
| Grounded web search | Citations depend on the chosen search tool | Run grounded search when the answer needs citations | Grounded Web Search page |
| Web crawl | Page retrieval depends on the available tools | Crawl pages and extract content from one CLI | Web Crawl page |
| Drive storage | Local files and connected storage vary by setup | Store outputs with public URLs in AnyCap Drive | Pricing page |
| Page hosting | Publishing depends on configured integrations | Publish simple pages through AnyCap Page | Pricing page |
| One auth flow | Authentication depends on the tool and environment | One login across the capability stack | Get Started page |
Choose the capability for your next task
Creative output
Image Generation
Best next page when Codex needs visuals, mockups, launch assets, or other image output.
anycap image generate
Motion output
Video Generation
Best next page when Codex needs demos, walkthroughs, or short-form video output.
anycap video generate
Vision
Image Understanding
Best next page when Codex needs to interpret screenshots, diagrams, OCR, or design feedback.
anycap actions image-read
Analysis
Video Analysis
Best next page when Codex needs to inspect recordings and extract structured details.
anycap actions video-read
Research
Web Search
Best next page when Codex needs source discovery, domain filters, recency controls, or structured results.
anycap search
Then pick the model that matches the terminal job
Codex tasks often turn into model-comparison questions once the capability is in place. The common image decision is Seedream 5 vs Nano Banana 2, while current video decisions usually start with Seedance 2.5 vs Kling 3.0. These model pages help Codex choose before it generates anything.
Image model
Seedream 5
Best first-pass image model when Codex needs a polished output from a prompt inside the sandbox.
Compare with Nano Banana 2 when the task is speed vs polish.
Image model
Nano Banana 2
Best for fast iteration when Codex needs more variants, more drafts, or more throughput from image generation.
Compare with Seedream 5 and Nano Banana Pro for workflow tradeoffs.
Video model
Seedance 2.5
Best current AnyCap video model for Codex when the task needs text, image, first/last-frame, or multimodal reference inputs.
Inspect the live schema first, then compare with Kling 3.0 when cinematic motion is the priority.
FAQ
Can Codex generate images on its own?
Yes, when image-generation tools or skills are available in the Codex environment. AnyCap adds explicit image-model selection and a reusable CLI workflow that can also handle video, analysis, storage, and delivery.
Why use AnyCap instead of wiring providers directly?
AnyCap puts model discovery, input schemas, execution, and output delivery behind one CLI and one authentication flow. Use it when several capabilities must work together without maintaining a separate integration for each provider.
Does AnyCap replace Codex?
No. Keep Codex for reasoning, code, edits, and its configured tools. AnyCap runs alongside it to provide explicit model selection and repeatable media, search, storage, and publishing commands.
Can Codex generate videos?
With the AnyCap skill installed, Codex can discover an active video model, inspect its live input schema, and run anycap video generate from the same terminal workflow. Seedance 2.5 is available through AnyCap for text-to-video, image-to-video, first/last-frame, and multimodal-reference generation.
What is the fastest path to add tools to Codex?
Install the AnyCap skill and CLI in the environment running the task, complete login, and verify access. Then describe the intended result so Codex can inspect the model schema and choose the appropriate command.
Does AnyCap work inside the Codex sandbox?
AnyCap works when the task environment can run its CLI and reach the AnyCap service. Local projects, worktrees, and cloud tasks may have different network permissions and credentials; install and authenticate in the environment that will execute the command.
Which image model fits Codex best: Seedream 5, Nano Banana 2, or Nano Banana Pro?
For Codex, Seedream 5 is the stronger model when the task needs a polished first-pass result, Nano Banana 2 is better for faster iteration and batch-style generation, and Nano Banana Pro is the better fit when Codex needs targeted edits to an existing image.
Which video model fits Codex best: Seedance 2.5, Veo 3.1, or Kling 3.0?
Start with Seedance 2.5 when Codex needs text, image, first/last-frame, or multimodal reference inputs through one active AnyCap model. Choose Kling 3.0 when first/last-frame transitions or multi-shot control matter, and Veo 3.1 for story-driven text or image briefs. Always inspect the live schema before generating.
Also available for
Last updated September 9, 2026