Python client library for the Portkey API - Control Panel for AI Apps with unified API signature, automated fallbacks, retries, load balancing, semantic caching, virtual keys, and comprehensive observability features.
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Model fine-tuning capabilities with job management, checkpoint handling, and training monitoring.
class FineTuning:
jobs: Jobs
checkpoints: Checkpoints
class Jobs:
def create(self, **kwargs): ...
def list(self, **kwargs): ...
def retrieve(self, **kwargs): ...
def cancel(self, **kwargs): ...
class Checkpoints:
def list(self, **kwargs): ...
def retrieve(self, **kwargs): ...# Create fine-tuning job
job = portkey.fine_tuning.jobs.create(
training_file="file-123",
model="gpt-3.5-turbo"
)
# Monitor job
job_status = portkey.fine_tuning.jobs.retrieve(job.id)Install with Tessl CLI
npx tessl i tessl/pypi-portkey-aidocs