GET

/v1/schemas/replicate/chat/models/ibm-granite/granite-4.2-8b/predictions

Accept:

kind inputactivity chathash bf02abd2…extracted Oct 7, 2026version currentsource upstream spec ↗

field	recorded source
schema	Source linked above. upstream-spec Source trace `fc2d0c3e83affd8f1a25483b3d518568b4998c97ba0d6c45496cf7d8f78978a4` { "fetchedAt": 1791350061, "extractorVersion": "1", "verifiedAt": null }

Request body

4 properties · 1 required · 2 $defs

property	type	description
input*	Input
stream	boolean	This field is deprecated.
webhook	string	An HTTPS URL for receiving a webhook when the prediction has new output. The webhook will be a POST request where the request body is the same as the response body of the [get prediction](#predictions.get) operation. If there are network problems, we will retr…
webhook_events_filter	enum[]	By default, we will send requests to your webhook URL whenever there are new outputs or the prediction has finished. You can change which events trigger webhook requests by specifying `webhook_events_filter` in the prediction request:

Types

2 $defs

Inputobject

seed	integer	Random seed. Leave unspecified to randomize the seed.	default: null
stop	string[]	A list of sequences to stop generation at. For example, ["<end>","<stop>"] will stop generation at the first instance of "<end>" or "<stop>".	default: null
tools	object[]	Tools for request. Passed to the chat template.	default: null
top_k	integer	The number of highest probability tokens to consider for generating " "the output. If > 0, only keep the top k tokens with highest probability " "(top-k filtering).	default: null
top_p	number	A probability threshold for generating the output. If < 1.0, only keep " "the top tokens with cumulative probability >= top_p (nucleus filtering). " "Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751).	default: null
prompt	string	Completion API user prompt.	default: null
stream	boolean	Request streaming response.	default: null
messages	object[]	Chat completion API messages.	default: null
documents	object[]	Documents for request. Passed to the chat template.	default: null
max_tokens	integer	max_tokens is deprecated in favor of the max_completion_tokens field.	default: null · deprecated
min_tokens	integer	The minimum number of tokens the model should generate as output.	default: 0
temperature	number	The value used to modulate the next token probabilities.	default: null
tool_choice	string	Tool choice for request. If the choice is a specific function, this should be specified as a JSON string.	default: null
chat_template	string	A template to format the prompt with. If not specified, the chat template provided by the model will be used.	default: null
system_prompt	string	Completion API system prompt. The chat template provides a good default.	default: null
response_format	object	An object specifying the format that the model must output.	default: null
presence_penalty	number	Presence penalty	default: null
reasoning_effort	enum	An enumeration.	none \| minimal \| low \| medium \| high \| xhigh · +1 more
frequency_penalty	number	Frequency penalty	default: null
include_reasoning	boolean	Include reasoning content in the response.	default: true
repetition_penalty	number	Repetition penalty	default: null
chat_template_kwargs	object	Additional arguments to be passed to the chat template.	default: null
add_generation_prompt	boolean	Add generation prompt. Passed to the chat template. Defaults to True.	default: true
max_completion_tokens	integer	An upper bound for the number of tokens that can be generated for a completion, including visible output tokens and reasoning tokens.	default: null

reasoning_effortenum

An enumeration.

Validate a payload

before you spend tokens

shell

$ curl -X POST https://modelschemas.com/v1/validate \
    -d '{"provider":"replicate","endpointId":"models/ibm-granite/granite-4.2-8b/predictions","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}