Phenoml Python Library
The Phenoml Python library provides convenient access to the Phenoml APIs from Python.
Table of Contents
- Installation
- Reference
- Usage
- Environments
- Async Client
- Exception Handling
- Streaming
- Oauth Token Override
- Advanced
- Contributing
Installation
pip install phenoml
Reference
A full reference for this library is available here.
Usage
Instantiate and use the client with the following:
from phenoml import PhenomlClient
client = PhenomlClient(
client_id="<clientId>",
client_secret="<clientSecret>",
)
client.agent.create(
name="Medical Assistant",
description="An AI assistant for medical information processing",
prompts=[
"prompt_123"
],
tags=[
"medical",
"fhir"
],
provider="7002b0b4-8d09-445a-bf65-0fafdaf26c35",
)
Environments
This SDK allows you to configure different environments for API requests.
from phenoml import PhenomlClient
from phenoml.environment import PhenomlClientEnvironment
client = PhenomlClient(
environment=PhenomlClientEnvironment.DEFAULT,
)
Async Client
The SDK also exports an async client so that you can make non-blocking calls to our API. Note that if you are constructing an Async httpx client class to pass into this client, use httpx.AsyncClient() instead of httpx.Client() (e.g. for the httpx_client parameter of this client).
import asyncio
from phenoml import AsyncPhenomlClient
client = AsyncPhenomlClient(
client_id="<clientId>",
client_secret="<clientSecret>",
)
async def main() -> None:
await client.agent.create(
name="Medical Assistant",
description="An AI assistant for medical information processing",
prompts=[
"prompt_123"
],
tags=[
"medical",
"fhir"
],
provider="7002b0b4-8d09-445a-bf65-0fafdaf26c35",
)
asyncio.run(main())
Exception Handling
When the API returns a non-success status code (4xx or 5xx response), a subclass of the following error will be thrown.
from phenoml.core.api_error import ApiError
try:
client.agent.create(...)
except ApiError as e:
print(e.status_code)
print(e.body)
Streaming
The SDK supports streaming responses, as well, the response will be a generator that you can loop over.
from phenoml import PhenomlClient
client = PhenomlClient(
client_id="<clientId>",
client_secret="<clientSecret>",
)
client.agent.chat.stream(
phenoml_on_behalf_of="Patient/550e8400-e29b-41d4-a716-446655440000",
phenoml_fhir_provider="550e8400-e29b-41d4-a716-446655440000:eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c...",
message="What is the patient\'s current condition?",
session_id="session-abc123",
agent_id="agent-123",
)
Oauth Token Override
This SDK supports two authentication methods: OAuth client credentials flow (automatic token management) or direct bearer token authentication. You can choose between these options when initializing the client:
from phenoml import PhenomlClient
# Option 1: Direct bearer token (bypass OAuth flow)
client = PhenomlClient(
...,
token="my-pre-generated-bearer-token",
)
# Option 2: OAuth client credentials flow (automatic token management)
client = PhenomlClient(
...,
client_id="your-client-id",
client_secret="your-client-secret",
)
Advanced
Access Raw Response Data
The SDK provides access to raw response data, including headers, through the .with_raw_response property.
The .with_raw_response property returns a "raw" client that can be used to access the .headers and .data attributes.
from phenoml import PhenomlClient
client = PhenomlClient(...)
response = client.agent.with_raw_response.create(...)
print(response.headers) # access the response headers
print(response.status_code) # access the response status code
print(response.data) # access the underlying object
Retries
The SDK is instrumented with automatic retries with exponential backoff. A request will be retried as long as the request is deemed retryable and the number of retry attempts has not grown larger than the configured retry limit (default: 2).
Which status codes are retried depends on the retryStatusCodes generator configuration:
legacy (current default): retries on
recommended: retries on
- 408 (Timeout)
- 409 (Conflict)
- 429 (Too Many Requests)
- 502 (Bad Gateway)
- 503 (Service Unavailable)
- 504 (Gateway Timeout)
Use the max_retries request option to configure this behavior.
client.agent.create(..., request_options={
"max_retries": 1
})
Timeouts
The SDK defaults to a 60 second timeout. You can configure this with a timeout option at the client or request level.
from phenoml import PhenomlClient
client = PhenomlClient(..., timeout=20.0)
# Override timeout for a specific method
client.agent.create(..., request_options={
"timeout": 1
})
Custom Client
You can override the httpx client to customize it for your use-case. Some common use-cases include support for proxies
and transports.
import httpx
from phenoml import PhenomlClient
client = PhenomlClient(
...,
httpx_client=httpx.Client(
proxy="http://my.test.proxy.example.com",
transport=httpx.HTTPTransport(local_address="0.0.0.0"),
),
)
Contributing
While we value open-source contributions to this SDK, this library is generated programmatically. Additions made directly to this library would have to be moved over to our generation code, otherwise they would be overwritten upon the next generated release. Feel free to open a PR as a proof of concept, but know that we will not be able to merge it as-is. We suggest opening an issue first to discuss with us!
On the other hand, contributions to the README are always very welcome!
2 maintainers
Metadata
2 maintainers
Release files for phenoml 18.1.0
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