fast-agent + Image generation
fast-agent runs the work loop and Image generation performs the selected operation. The Composer below preselects fast-agent, DeepSeek V4 Pro, and this tool so you can test one real task with the same billing and recovery path as any AgentSky run.
How the combination works
fast-agent decides when to call Image generation.
Runs the task through its ACP harness in a persistent cloud workspace while the selected AgentSky model supplies reasoning and generation.
AgentSky uses OpenAI gpt-image-2 to generate one image at high quality. Specify the subject, composition and exact wording, then choose a square, portrait or landscape size.
fast-agent
Owns the task loop, context, model calls, tool choice, cloud computer, progress and final result.
Image generation
Performs the operation exposed by the current Image generation capability. Its input limits and output shape come from the live tool guide and adapter.
AgentSky
Keeps the selected agent, model, capability grant, task state and usage record together. Tool charges and model or runtime charges remain itemized separately.
Setup and first task
Start with one bounded image generation task.
The Composer carries fast-agent, DeepSeek V4 Pro, and Image generation. Begin with the smallest input that lets you inspect the output before expanding the workflow.
Open the fast-agent Composer
The Composer above preselects fast-agent, DeepSeek V4 Pro, and Image generation. Add the target, required inputs and a concrete expected result; the draft stays in place through sign-in.
State the Image generation boundary
Create a quiet editorial illustration about human–AI collaboration. Use a light background, a clear focal point, and no text.
Run and verify the returned result
Check the output against the source or brief, confirm that the result has the expected format, and inspect the task usage for model, runtime and tool charges.
Inputs, cost and limits
What fast-agent + Image generation establishes
Tasks supported by this ACP harness through AgentSky's verified platform-model path.
Configure and verify
- fast-agent and DeepSeek V4 Pro are preselected for the browser evaluation.
- Image generation is enabled from the current capability catalog with its live input and output guidance.
- The first task can be checked from the returned artifact, text or provider result before a larger workflow is attempted.
Still depends on the task
- A tool guide does not guarantee a provider result for malformed, blocked or unsupported Image generation inputs.
- A successful tool call does not establish that the result is correct for your business decision; inspect the output at its source boundary.
- Total task cost can include model tokens, active computer time and the selected tool's billable units.
Current Image generation rates
gptimage.generate
$0.422 per asset.
Tool-specific details
Use the current Image generation contract.
AgentSky uses OpenAI gpt-image-2 to generate one image at high quality. Specify the subject, composition and exact wording, then choose a square, portrait or landscape size.
Actual model
OpenAI gpt-image-2; high quality, one image per request, non-streaming.
Available sizes
1024×1024 square (default), 1024×1536 portrait, or 1536×1024 landscape.
Input and output
Provide a text prompt and size to receive a downloadable image. This tool creates new images; it does not accept an existing image or mask for editing.
Common questions
Related resources
fast-agent
Review fast-agent's supported models, tools, channels and connectors.
Image generation tool
Review the current operation inputs, outputs, examples and rates.
fast-agent + DeepSeek V4 Pro
Review the current default agent and model combination.
Pricing
Review model, active-computer and tool charges.