Official AI Stats Gateway SDK for Python.
Project description
AI Stats Python SDK
Official Python SDK for AI Stats Gateway.
Installation
pip install ai-stats-py-sdk
Requires Python 3.10+.
Quick start
from ai_stats import AIStats
client = AIStats() # Uses AI_STATS_API_KEY from environment
response = client.responses.create(
{
"model": "google/gemma-3-27b:free",
"input": "Reply with: Python SDK works",
}
)
print(response.get("output_text"))
Streaming example
from ai_stats import AIStats
client = AIStats()
for chunk in client.stream_text(
{
"model": "google/gemma-3-27b:free",
"messages": [{"role": "user", "content": "Stream hi"}],
}
):
print(chunk, end="", flush=True)
Common methods
client.responses.create(...)client.chat.completions.create(...)client.models.list(...)client.list_organisations(...)for paginated/organisationsdiscoveryclient.list_pricing_models(...)for/pricing/modelscatalogue pricing discoveryclient.calculate_pricing(...)for/pricing/calculateusage estimationclient.list_providers(...),client.get_credits(...),client.get_activity(...), andclient.get_analytics(...)for provider discovery and management-key usage surfacesclient.list_api_keys(...)for management-key/keysdiscoveryclient.create_api_key(...),client.update_api_key(key_id, ...), andclient.delete_api_key(key_id)for management-key API-key lifecycle changesclient.get_api_key(key_id)for management-key/keys/{id}lookupclient.list_workspaces(...),client.get_workspace(workspace_id),client.create_workspace(...),client.update_workspace(workspace_id, ...), andclient.delete_workspace(workspace_id)for management-key workspace lifecycle managementclient.get_current_api_key()client.get_health()client.models.get_deprecation_info(model_id)client.models.validate(model_id)
Model discovery supports the public /gateway/models filters, including provider, provider_status, provider_routing_status, model_routing_status, capability_status, provider_availability_status, provider_availability_reason, status, organisation, endpoints, input_types, output_types, params, availability, limit, and offset.
Use provider_availability_reason with availability="all" when you want rollout-state entries such as preview_only, provider_not_ready, gated, access_limited, region_limited, project_limited, paused, or soft_blocked. Use capability_status with availability="all" when you want non-routable endpoint mappings such as coming_soon or internal_testing.
models = client.get_models({
"provider": ["anthropic"],
"provider_status": ["beta", "not_ready"],
"provider_availability_reason": ["preview_only", "provider_not_ready"],
"capability_status": ["coming_soon", "internal_testing"],
"availability": "all",
})
Async job websocket helpers
Batch and video operations can expose a websocket lifecycle stream at /v1/async/{kind}/{id}/ws.
batch_socket_url = client.batches.websocket_url("batch_123", interval_ms=1500)
video_socket_url = client.videos.websocket_url(
"video_123",
close_on_terminal=True,
)
generic_socket_url = client.get_async_job_websocket_url("video", "video_123")
Free and paid models
- Models with
:freein the model ID can be called with zero deposited credits. - Paid models require available wallet balance.
Model lifecycle warnings
from ai_stats import AIStats
client = AIStats(
enable_deprecation_warnings=True,
warnings_as_errors=False,
logger=lambda level, message, meta: print(level, message, meta),
)
Environment variables
AI_STATS_API_KEY(required unless passed in code)AI_STATS_BASE_URL(optional, defaults tohttps://api.phaseo.app/v1)
Devtools
from ai_stats import AIStats, create_ai_stats_devtools
client = AIStats(
devtools=create_ai_stats_devtools(
directory=".ai-stats-devtools",
capture_headers=False,
)
)
Regeneration and local checks
- Regenerate generated client:
pnpm openapi:gen:py - Run tests:
pnpm test:sdk-py - Smoke checks:
pnpm --filter @ai-stats/py-sdk run smoke:chatpnpm --filter @ai-stats/py-sdk run smoke:responses
Project details
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