ByteDance Seed 2.0 Code

bytedance-seed/seed-2.0-code

Run ByteDance Seed 2.0 Code in a hosted Python Task with structured output, extended thinking and file inputs.

ByteDance Seed's Seed 2.0 Code via OpenRouter. A coding model for frontend and multi-language agent work. Accepts image and video input with a 262K token context window.

What ByteDance Seed 2.0 Code supports in qbash

Structured outputReplies as JSON that matches a schema you pass.
Extended thinkingReasons through a problem before it replies.
Reasoning effort3 levels, from low to high.
Image inputReads WEBP, PNG, JPEG and GIF images.
Document inputReads PDF, TEXT, DOC, XLS, RTF and 7 more files.

What is qbash?

qbash is where you build Tasks: Python programs that run a business process on managed infrastructure. Your code runs the steps and calls a model like ByteDance Seed 2.0 Code only at the ones that need judgment, with integrations, memory and files available in the same script.

A developer writes the Task once, and anyone on the team runs it from a form, on a schedule, from a webhook or from chat. Each Task is versioned and every run is logged.

How Tasks work

Specifications

Context window: 262Ktokens
Max output: 131,072tokens
Temperature: 0 to 1default 1

Structured output with ByteDance Seed 2.0 Code in a Python Task

qbash.ai.raw calls ByteDance Seed 2.0 Code from a Task. Pass a JSON Schema as output_schema and the reply comes back as a Python dict that matches it, ready to route to a connector.

main.py
ticket = qbash.inputs.get("ticket")

triage = qbash.ai.raw(
    f"Summarize this support ticket and rate its urgency:\n\n{ticket}",
    model="bytedance-seed/seed-2.0-code",
    output_schema={
        "type": "object",
        "properties": {
            "summary": {"type": "string"},
            "urgency": {"type": "string", "enum": ["low", "medium", "high"]},
        },
        "required": ["summary", "urgency"],
    },
)

# triage is a dict, e.g. {"summary": "...", "urgency": "high"}
if triage["urgency"] == "high":
    qbash.integrations.slack.create_message(
        channel="#support",
        text=triage["summary"],
    )

qbash.output(triage)

Structured output in Tasks

Reasoning effort with ByteDance Seed 2.0 Code

Set Effort to low, medium and high in the prompt's Settings. Higher effort spends more tokens on reasoning before the reply.

Turn on Thinking in the same Settings popover to have ByteDance Seed 2.0 Code reason through a problem before it replies.