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Python SDK for Shift managed AI routing, telemetry, and local-first execution

Project description

switch-sdk

Python SDK for the Shift (Switch gateway) managed API.

Install

pip install switch-sdk

For local development:

pip install -e .[dev]

For local ExecuTorch runtime work:

pip install -e .[dev,local]

For packaging and publishing:

pip install -e .[publish]

Note: ExecuTorch wheels are not available for Python 3.14 yet. Use Python 3.10-3.13 (3.11 works well).

Required values

  • base_url: your gateway URL, for example http://localhost:8000
  • api_key: your plain project key (for example aura_...), not the SHA256 hash

Environment shortcuts are supported:

  • SHIFT_BASE_URL (fallback: SWITCH_BASE_URL)
  • SHIFT_API_KEY (fallbacks: SWITCH_API_KEY, API_KEY)

Quick start

import asyncio
from switch_sdk import SwitchClient, ChatMessage


async def main() -> None:
    async with SwitchClient.from_env() as client:
        completion = await client.chat(
            model="gpt-5",
            messages=[ChatMessage(role="user", content="Reply with: SDK_OK")],
            residency="US",
            sla="realtime",
            capability_flags={"force_cloud": True, "preferred_region": "eastus"},
        )

        print(completion.choices[0].message.content)
        print(completion.switch_meta["route"]["target"]["region"])


asyncio.run(main())

Set env vars first:

export SHIFT_BASE_URL=http://localhost:8000
export SHIFT_API_KEY=aura_your_plain_project_key

Hybrid local-first mode (ExecuTorch-ready)

chat_hybrid() tries local execution first, then falls back to cloud when needed. Local models are cached on disk and downloaded only once per model version.

import asyncio
from switch_sdk import ChatMessage, LocalModelManager, SwitchClient


manifest = [
    {
        "model_id": "smollm2-135m",
        "task": "chat",
        "download_url": "https://your-model-host/smollm2-135m.pte",
        "sha256": "replace_with_sha256",
        "size_mb": 550,
        "min_ram_gb": 4,
        "max_prompt_chars": 280,
        "rank": 10,
    },
]


async def main() -> None:
    manager = LocalModelManager(cache_dir="~/.shift/models", manifest=manifest)
    # Optional: real ExecuTorch adapter (requires deps below)
    from switch_sdk import build_executorch_text_runtime
    local_runtime = build_executorch_text_runtime(
        tokenizer_source="HuggingFaceTB/SmolLM2-135M-Instruct",
        max_new_tokens=96,
        prefer_optimum=True,
    )

    async with SwitchClient(
        base_url="http://localhost:8000",
        api_key="aura_your_plain_project_key",
        local_model_manager=manager,
        local_runtime=local_runtime,
    ) as client:
        completion = await client.chat_hybrid(
            model="auto",
            messages=[ChatMessage(role="user", content="Reply exactly: LOCAL_OK")],
            capability_flags={"auto_model": True},
        )
        print(completion.model)
        print(completion.choices[0].message.content)
        print(completion.switch_meta)


asyncio.run(main())

Notes:

  • Default local runtime is a stub (for wiring/tests).
  • build_executorch_text_runtime(...) provides a real adapter that prefers Optimum ExecuTorch and falls back to raw executorch.runtime.
  • Cache path format: ~/.shift/models/<model_id>/<version>/model.pte
  • LRU eviction is applied when cache exceeds max_cache_gb.

Install local runtime dependencies:

pip install -e .[local]

Ready-made demo manifest:

  • /Users/proguy/Documents/projects/switch/switch-sdk/examples/local_manifest_smollm2_135m.json

Runtime callable contract:

from switch_sdk import ChatMessage, LocalModelHandle

async def my_executorch_runtime(messages: list[ChatMessage], handle: LocalModelHandle) -> str:
    # Load/use handle.path (.pte) with your ExecuTorch integration.
    # Return assistant text.
    return "LOCAL_EXECUTORCH_OK"

Routing-only call

decision = await client.route(
    model="gpt-5",
    residency="US",
    sla="realtime",
    capability_flags={"force_cloud": True},
)

print(decision.target.region)
print(decision.scores)
print(decision.candidate_breakdown)

Dashboard + carbon endpoints

summary = await client.get_dashboard_summary()
feed = await client.get_dashboard_feed(limit=20)
carbon = await client.get_live_carbon()

print(summary.summary.total_requests)
print(len(feed.items))
print(carbon.provider, carbon.regions.get("eastus"))

Custom telemetry event

from switch_sdk import TelemetryEvent

await client.track_event(
    TelemetryEvent(
        event_type="sdk_custom",
        request_id="custom-123",
        model="gpt-5",
        metadata={"feature": "my_feature"},
    )
)

await client.flush_telemetry()

Error handling

from switch_sdk import SwitchAPIError, SwitchNetworkError, SwitchTimeoutError

try:
    await client.route(model="gpt-5")
except SwitchAPIError as exc:
    print(exc.status_code, exc.detail)
except SwitchTimeoutError:
    print("Request timed out")
except SwitchNetworkError as exc:
    print(f"Network issue: {exc}")

Notes

  • The SDK is async-first.
  • Use async with SwitchClient(...) so telemetry flushes cleanly on exit.
  • Retries/backoff are built in for transient failures.
  • Telemetry is best-effort and never blocks successful chat/route calls.

Live switching checks

Automatic east/west region-switch verification script:

cd switch-sdk
.venv/bin/python examples/test_region_switching.py \
  --base-url http://localhost:8000 \
  --api-key aura_your_plain_project_key \
  --east-region eastus \
  --west-region westus \
  --central-region centralus \
  --check-chat

From-env example script

export SHIFT_BASE_URL=http://localhost:8000
export SHIFT_API_KEY=aura_your_plain_project_key
python /Users/proguy/Documents/projects/switch/switch-sdk/examples/test_from_env.py

Local ExecuTorch sanity check

Force local execution and fail if local runtime does not work:

cd /Users/proguy/Documents/projects/switch/switch-sdk
.venv311/bin/python examples/test_hybrid_local.py \
  --base-url http://localhost:8000 \
  --api-key dummy_local_only \
  --manifest-path examples/local_manifest_smollm2_135m.json \
  --executorch \
  --prefer-runtime \
  --tokenizer-source HuggingFaceTB/SmolLM2-135M-Instruct \
  --no-download \
  --no-cloud-fallback

Expected: output JSON includes "source": "sdk-local" in switch_meta.

Release

See /Users/proguy/Documents/projects/switch/switch-sdk/RELEASING.md for TestPyPI and PyPI release steps.

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