OpenAI Fine Tuning API is one of 51 APIs that OpenAI publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
This API exposes 2 JSON Schema definitions.
Tagged areas include Fine-Tuning. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, a JSON-LD context, and 2 JSON Schemas.
This API exposes
13 operations
across 11 paths,
and defines 41 schemas.
It is described by OpenAPI 3.0.0, at version 2.0.0.
Requests are made against a single base URL, https://api.openai.com/v1.
13 operations11 paths41 schemas1 DELETE5 GET7 POST
Metadata
The identity and technical contract details declared by the specification.
OpenAI Fine Tuning API declares
1 security scheme
for authenticating requests.
It accepts HTTP bearer tokens (ApiKeyAuth).
By default, every request must be authenticated.
Paths & Operations 13
Across 11 paths, the API surfaces 13 operations — 1 DELETE, 5 GET, 7 POST. Each is listed below with its method, path, parameters, and response codes.
Fine Tuning 13
POST
/fine_tuning/jobs
OpenAI Creates a fine-tuning job which begins the process of creating a new model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tun…
createFineTuningJobbody→ 200
GET
/fine_tuning/jobs
OpenAI List your organization's fine-tuning jobs
listPaginatedFineTuningJobs2 params→ 200
GET
/fine_tuning/jobs/{fine_tuning_job_id}
OpenAI Get info about a fine-tuning job. [Learn more about fine-tuning](/docs/guides/fine-tuning)
NOTE: This endpoint requires an [admin API key](../admin-api-keys). Organization owners can use this endpoint to view all permissions for a fine-tuned model checkpoint.
NOTE: Calling this endpoint requires an [admin API key](../admin-api-keys). This enables organization owners to share fine-tuned models with other projects in their organization.
NOTE: This endpoint requires an [admin API key](../admin-api-keys). Organization owners can use this endpoint to delete a permission for a fine-tuned model checkpoint.
The contract defines 41 schemas that model the data the API accepts and returns. The most detailed are FineTuningJob_2 (19 properties), FineTuningJob (14 properties), CreateFineTuningJobRequest (9 properties), FineTuningJobCheckpoint (7 properties). Each schema is shown below with its type and property counts.
FineTuningJobCheckpoint
object
The finetuning.job.checkpoint object represents a model checkpoint for a fine-tuning job that is ready to use.
7 properties7 required
InputTextContent
object
A text input to the model.
2 properties2 required
ListFineTuningJobCheckpointsResponse
object
5 properties3 required
EvalItemContentOutputText
object
A text output from the model.
2 properties2 required
FineTuningJob_2
object
The finetuning.job object represents a fine-tuning job that has been created through the API.
19 properties15 required
FineTuneSupervisedMethod
object
Configuration for the supervised fine-tuning method.
1 property
FineTuneMethod
object
The method used for fine-tuning.
4 properties1 required
EvalItemInputImage
object
An image input block used within EvalItem content arrays.
3 properties2 required
ListPaginatedFineTuningJobsResponse
object
3 properties3 required
ListFineTuningCheckpointPermissionResponse
object
5 properties3 required
ValidateGraderResponse
object
1 property
GraderStringCheck
object
A StringCheckGrader object that performs a string comparison between input and reference using a specified operation.
5 properties5 required
ReasoningEffort
FineTuneReinforcementHyperparameters
object
The hyperparameters used for the reinforcement fine-tuning job.
7 properties
CreateFineTuningCheckpointPermissionRequest
object
1 property1 required
FineTuneReinforcementMethod
object
Configuration for the reinforcement fine-tuning method.
2 properties1 required
EvalItemContentItem
A single content item: input text, output text, input image, or input audio.
CreateFineTuningJobRequest
object
9 properties2 required
EvalItemContentText
string
A text input to the model.
RunGraderRequest
object
3 properties2 required
ValidateGraderRequest
object
1 property1 required
FineTuneSupervisedHyperparameters
object
The hyperparameters used for the fine-tuning job.
3 properties
FineTuningCheckpointPermission
object
The checkpoint.permission object represents a permission for a fine-tuned model checkpoint.
4 properties4 required
GraderTextSimilarity
object
A TextSimilarityGrader object which grades text based on similarity metrics.
5 properties5 required
GraderLabelModel
object
A LabelModelGrader object which uses a model to assign labels to each item in the evaluation.
6 properties6 required
Metadata
EvalItemContentArray
array
A list of inputs, each of which may be either an input text, output text, input image, or input audio object.
GraderPython
object
A PythonGrader object that runs a python script on the input.
4 properties3 required
FineTuneDPOHyperparameters
object
The hyperparameters used for the DPO fine-tuning job.
4 properties
FineTuningIntegration
object
2 properties2 required
ListFineTuningJobEventsResponse
object
2 properties2 required
EvalItemContent
Inputs to the model - can contain template strings. Supports text, output text, input images, and input audio, either as a single item or an array of items.
FineTuningJob
object
The finetuning.job object represents a fine-tuning job that has been created through the API.
14 properties14 required
EvalItem
object
A message input to the model with a role indicating instruction following hierarchy. Instructions given with the developer or system role take precedence over…
3 properties2 required
InputAudio
object
An audio input to the model.
2 properties2 required
FineTuningJobEvent
object
Fine-tuning job event object
7 properties5 required
GraderMulti
object
A MultiGrader object combines the output of multiple graders to produce a single score.
4 properties4 required
RunGraderResponse
object
4 properties4 required
FineTuneDPOMethod
object
Configuration for the DPO fine-tuning method.
1 property
GraderScoreModel
object
A ScoreModelGrader object that uses a model to assign a score to the input.
6 properties4 required
DeleteFineTuningCheckpointPermissionResponse
object
3 properties3 required
Specification
The full machine-readable OpenAPI contract behind this narrative.
Every API here is available over the API and to AI agents over MCP. APIs is not yet its own endpoint on the v1 API. Reach this content through network search and the tag graph, or the MCP server below.
Installs https://mcp.apievangelist.com/mcp in Claude, Cursor, VS Code and the rest — one button, every client.
MCP tools for apis
4 tools reach this content
search_api_evangelistSearch every content type across the network at once.
find_relatedThe shared-tag relevance graph — what else covers this.
get_tagEverything one tag labels, across all content types.
guide_topicPRO — a curated bundle for a topic: area, guidance, rules, papers, stories, services.
A second provider on the same verified email joins the account you already have.
Your account
ⓘWhere this information came from
This is an independent, third-party profile of OpenAI Fine Tuning API, published by
API Evangelist. We do not operate, host, resell, or
support these APIs, and we are not affiliated with or endorsed by the company unless stated above.
Everything here is built from publicly available information — the company's own site,
developer portal, documentation, public repositories, and the specifications it publishes for public use.
Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's
public API artifacts, scored against a published rubric. They are not certifications,
endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and
you do not need to justify the request. A removed company is recorded as unrated, never scored
zero for having asked. Acknowledgement within one business day; removal within two.
info@apievangelist.com
·
Read the full data-sourcing policy → On a security or compliance team? Put security in the subject line and
you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.
