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Chat Completions
Portkey Endpoints
Embeddings
Rerank
Models
Other APIs
Completions
Moderations
Fine-tuning
Assistants
curl https://api.portkey.ai/v1/fine_tuning/jobs \
-H "Content-Type: application/json" \
-H "x-portkey-api-key: $PORTKEY_API_KEY" \
-H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
-d '{
"training_file": "file-BK7bzQj3FfZFXr7DbL6xJwfo",
"model": "gpt-3.5-turbo"
}'{
"id": "<string>",
"created_at": 123,
"error": {
"code": "<string>",
"message": "<string>",
"param": "<string>"
},
"fine_tuned_model": "<string>",
"finished_at": 123,
"hyperparameters": {
"n_epochs": "auto"
},
"model": "<string>",
"object": "fine_tuning.job",
"organization_id": "<string>",
"result_files": [
"file-abc123"
],
"status": "validating_files",
"trained_tokens": 123,
"training_file": "<string>",
"validation_file": "<string>",
"seed": 123,
"integrations": [
{
"type": "wandb",
"wandb": {
"project": "my-wandb-project",
"name": "<string>",
"entity": "<string>",
"tags": [
"custom-tag"
]
}
}
],
"estimated_finish": 123
}Create Fine-tuning Job
Finetune a provider model
curl https://api.portkey.ai/v1/fine_tuning/jobs \
-H "Content-Type: application/json" \
-H "x-portkey-api-key: $PORTKEY_API_KEY" \
-H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \
-d '{
"training_file": "file-BK7bzQj3FfZFXr7DbL6xJwfo",
"model": "gpt-3.5-turbo"
}'{
"id": "<string>",
"created_at": 123,
"error": {
"code": "<string>",
"message": "<string>",
"param": "<string>"
},
"fine_tuned_model": "<string>",
"finished_at": 123,
"hyperparameters": {
"n_epochs": "auto"
},
"model": "<string>",
"object": "fine_tuning.job",
"organization_id": "<string>",
"result_files": [
"file-abc123"
],
"status": "validating_files",
"trained_tokens": 123,
"training_file": "<string>",
"validation_file": "<string>",
"seed": 123,
"integrations": [
{
"type": "wandb",
"wandb": {
"project": "my-wandb-project",
"name": "<string>",
"entity": "<string>",
"tags": [
"custom-tag"
]
}
}
],
"estimated_finish": 123
}Documentation Index
Fetch the complete documentation index at: https://docs.portkey.ai/docs/llms.txt
Use this file to discover all available pages before exploring further.
Authorizations
Body
- OpenAI Params
- Bedrock Params
- Portkey Params
Gateway supported body params for OpenAI, Azure OpenAI and VertexAI.
The base model to finetune
The training file to use for the finetune job
The suffix to append to the fine-tuned model name
Hyperparameters for the finetune job
Show child attributes
Show child attributes
The validation file to use for the finetune job
Response
The request has succeeded.
The fine_tuning.job object represents a fine-tuning job that has been created through the API.
The object identifier, which can be referenced in the API endpoints.
The Unix timestamp (in seconds) for when the fine-tuning job was created.
For fine-tuning jobs that have failed, this will contain more information on the cause of the failure.
Show child attributes
Show child attributes
The name of the fine-tuned model that is being created. The value will be null if the fine-tuning job is still running.
The Unix timestamp (in seconds) for when the fine-tuning job was finished. The value will be null if the fine-tuning job is still running.
The hyperparameters used for the fine-tuning job. See the fine-tuning guide for more details.
Show child attributes
Show child attributes
The base model that is being fine-tuned.
The object type, which is always "fine_tuning.job".
fine_tuning.job The organization that owns the fine-tuning job.
The current status of the fine-tuning job, which can be either validating_files, queued, running, succeeded, failed, or cancelled.
validating_files, queued, running, succeeded, failed, cancelled The total number of billable tokens processed by this fine-tuning job. The value will be null if the fine-tuning job is still running.
The seed used for the fine-tuning job.
A list of integrations to enable for this fine-tuning job.
5Show child attributes
Show child attributes
The Unix timestamp (in seconds) for when the fine-tuning job is estimated to finish. The value will be null if the fine-tuning job is not running.
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