Client

import proxai as px
 
client = px.Client(
    experiment_path='translation/en-to-fr/experiment_1',
    feature_mapping_strategy=px.types.FeatureMappingStrategy.STRICT)
 
response = client.generate_text(prompt="Hello, world!")

import proxai as px
 
client = px.Client(
    experiment_path='translation/en-to-fr/experiment_1',
    logging_options=px.LoggingOptions(
        logging_path='~/proxai-logs',
        stdout=True,
        hide_sensitive_content=True),
    cache_options=px.CacheOptions(
        cache_path='~/proxai-cache',
        unique_response_limit=3,
        retry_if_error_cached=True,
        clear_query_cache_on_connect=True,
        clear_model_cache_on_connect=True,
        model_cache_duration=1200),
    proxdash_options=px.ProxDashOptions(
        stdout=True,
        hide_sensitive_content=True,
        api_key='your-proxdash-api-key'),
    feature_mapping_strategy=px.types.FeatureMappingStrategy.STRICT,
    model_test_timeout=60,
    allow_multiprocessing=False,
    suppress_provider_errors=True)
 
client.set_model(('openai', 'gpt-4'))
response = client.generate_text(prompt="Hello, world!")

import proxai as px
 
# Configure default global client
px.connect()
px.set_model(('openai', 'gpt-4'))
 
# Create a separate client instance
client = px.Client()
client.set_model(('anthropic', 'claude-sonnet'))
 
# Use both clients
response1 = px.generate_text(prompt="Hello!", extensive_return=True)
response2 = client.generate_text(prompt="Hello!", extensive_return=True)
 
print(response1.query_record.provider_model)
print(response2.query_record.provider_model)

(openai, gpt-4)
(anthropic, claude-sonnet)