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zlm-v1-tool-decisions: Responses
ZeroGPU’s tool-decision model turns user intent into action, pairing fast MCP tool selection with query and argument generation. It reads the conversation, selects the tools that fit, and generates the inputs needed to call them, with the decision and the generation happening in a single inference step so an agent moves from understanding a request to acting on it. When no tool is needed it returns NO_TOOL, which keeps unnecessary calls out of the workflow. At 0.6B parameters, served as a bf16 build with a 24,576-token context window, it is built for agents that need to choose quickly and act precisely.
References: Model docs • Terms • Privacy

Authorizations

x-api-key
string
header
required

Headers

x-project-id
string

Optional project identifier. Scopes the request to a specific project when provided.

Body

application/json
model
string
default:zlm-v1-tool-decisions
required

Model identifier (fixed for this playground). Use request examples to change use cases.

Allowed value: "zlm-v1-tool-decisions"
Example:

"zlm-v1-tool-decisions"

input
string<textarea>
required

Multi-line text or document content to send to the model.

Required string length: 1 - 131072
instructions
string
max_tokens
integer

Maximum number of tokens to generate in the response.

Required range: x >= 1
Example:

800

metadata
object

Response

Success

The response is of type object.