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[Beta] Fine-tuning API

info

This is an Enterprise only endpoint Get Started with Enterprise here

Supported Providers​

  • Azure OpenAI
  • OpenAI

Add finetune_settings and files_settings to your litellm config.yaml to use the fine-tuning endpoints.

Example config.yaml for finetune_settings and files_settings​

model_list:
  - model_name: gpt-4
    litellm_params:
      model: openai/fake
      api_key: fake-key
      api_base: https://exampleopenaiendpoint-production.up.railway.app/

# For /fine_tuning/jobs endpoints
finetune_settings:
  - custom_llm_provider: azure
    api_base: https://exampleopenaiendpoint-production.up.railway.app
    api_key: os.environ/AZURE_API_KEY
    api_version: "2023-03-15-preview"
  - custom_llm_provider: openai
    api_key: os.environ/OPENAI_API_KEY

# for /files endpoints
files_settings:
  - custom_llm_provider: azure
    api_base: https://exampleopenaiendpoint-production.up.railway.app
    api_key: fake-key
    api_version: "2023-03-15-preview"
  - custom_llm_provider: openai
    api_key: os.environ/OPENAI_API_KEY

Create File for fine-tuning​

client = AsyncOpenAI(api_key="sk-1234", base_url="http://0.0.0.0:4000") # base_url is your litellm proxy url

file_name = "openai_batch_completions.jsonl"
response = await client.files.create(
    extra_body={"custom_llm_provider": "azure"}, # tell litellm proxy which provider to use
    file=open(file_name, "rb"),
    purpose="fine-tune",
)

Create fine-tuning job​

ft_job = await client.fine_tuning.jobs.create(
    model="gpt-35-turbo-1106",                   # Azure OpenAI model you want to fine-tune
    training_file="file-abc123",                 # file_id from create file response
    extra_body={"custom_llm_provider": "azure"}, # tell litellm proxy which provider to use
)

Cancel fine-tuning job​

# cancel specific fine tuning job
cancel_ft_job = await client.fine_tuning.jobs.cancel(
    fine_tuning_job_id="123",                          # fine tuning job id
    extra_body={"custom_llm_provider": "azure"},       # tell litellm proxy which provider to use
)

print("response from cancel ft job={}".format(cancel_ft_job))

List fine-tuning jobs​

list_ft_jobs = await client.fine_tuning.jobs.list(
    extra_query={"custom_llm_provider": "azure"}   # tell litellm proxy which provider to use
)

print("list of ft jobs={}".format(list_ft_jobs))

👉 Proxy API Reference​