gestalt-sdk 0.0.1a25

Python SDK for Gestalt executable providers

Gestalt Python SDK

Use the Python SDK to build executable Gestalt providers with normal Python classes, functions, and type annotations.

The package is published to PyPI as gestalt-sdk and imported in provider code as gestalt.

uv add gestalt-sdk

import gestalt


class SearchInput(gestalt.Model):
    query: str = gestalt.field(description="Search query")


app = gestalt.App("search")


@app.operation(method="GET", title="Search")
def search(input: SearchInput, request: gestalt.Request):
    return {"results": [input.query]}

Provider projects

Python source providers are discovered through [tool.gestalt].provider in pyproject.toml.

[project]
name = "gestalt-search"
version = "0.0.1"
dependencies = ["gestalt-sdk"]

[tool.uv]
package = false

[tool.gestalt]
provider = "provider"

Use the provider manifest for static provider identity, connections, hosted HTTP routes, passthrough surfaces, and release metadata. Use Python code for executable operations, provider lifecycle hooks, host-service clients, and provider-specific runtimes.

Build cache

Python executable provider builds can opt into the generic Gestalt build cache by setting GESTALT_BUILD_CACHE_DIR to a writable directory before running gestaltd sync or another provider packaging command. The cache stores SDK-internal packaging accelerators only; it is safe to delete, and unsetting the variable returns builds to the default clean temporary behavior.

GESTALT_BUILD_CACHE_DIR="$PWD/.gestalt-build-cache" \
  gestaltd sync --locked --config deploy/config.yaml

Public surface

The top-level gestalt package exposes the supported authoring API:

• Model, field, App, operation, and Request for integration providers.
• AuthenticationProvider, CacheProvider, S3Provider, SecretsProvider, WorkflowProvider, AgentProvider, and RuntimeProvider for host-service provider runtimes.
• Cache, IndexedDB, S3, Workflow, Agent, and Request.app() for calling sibling host services.
• gestalt.testing for native fixture helpers used by SDK transport tests.
• gestalt.telemetry for provider-authored GenAI spans and metrics.

The SDK also exposes authored provider models for authentication, workflow, agent, and runtime payloads. Agent provider handlers receive and return native dataclasses such as CreateAgentProviderTurnRequest, AgentSession, and AgentTurn; structured fields accept dictionaries or dataclass instances, and timestamp fields use timezone-aware datetime values. Workflow helpers such as bound_workflow_target, workflow_definition, workflow_run, and workflow_signal accept plain dictionaries, dataclass instances, and native datetime values for structured payloads and timestamp fields. Provider-facing APIs should accept native Python values and keep transport serialization inside SDK adapters.

App invocation migration

request.app().invoke(...) and request.app().invoke_graphql(...) now decode JSON responses and unwrap only Gestalt success envelopes shaped as {"status": "success", "data": ...}.

with request.app() as app:
    # before
    raw = app.invoke_raw("github", "get_issue", params)
    issue = raw.decode_json()

    # after
    issue = app.invoke("github", "get_issue", params)

    # escape hatch
    raw = app.invoke_raw("github", "get_issue", params)

Typed GraphQL invocation raises InvokeError when the decoded top-level payload has a non-empty errors list. Use invoke_graphql_raw() for callers that need to classify GraphQL errors themselves.

API reference

The authored Python API reference is generated with Sphinx from the SDK's docstrings. Build it locally from sdk/python with:

uv sync --group dev
uv run sphinx-build -W -b html -d docs/_build/doctrees docs docs/_build/html

The generated docs intentionally focus on the handwritten SDK surface. The checked-in transport stubs live under the private gestalt/_gen package and are not expanded as authored reference pages.

Publishing

The SDK is published publicly as gestalt-sdk while keeping the import path gestalt.

Release tags stay aligned with the repo's SDK tag convention:

• sdk/python/v0.0.1
• sdk/python/v0.0.1-alpha.1
• sdk/python/v0.0.1-beta.1
• sdk/python/v0.0.1-rc.1

The release workflow normalizes those tag versions to PEP 440 before building and publishing with uv, so sdk/python/v0.0.1-alpha.1 becomes package version 0.0.1a1.

Releases are published to PyPI through GitHub Actions Trusted Publishing. The release workflow runs in the pypi environment and uses GitHub OIDC rather than a checked-in upload token.

Local SDK checks

From sdk/python, install the SDK plus its dev tooling and run the checks used in CI:

uv sync --group dev
uv run ruff check .
uv run ty check --exclude 'gestalt/_gen/**' gestalt scripts tests
uv run vulture --config pyproject.toml
uv run python -m unittest discover -s tests
uv run sphinx-build -W -b html -d docs/_build/doctrees docs docs/_build/html

The vendored transport stubs under gestalt/_gen are excluded from the static analysis tools because they are generated output rather than hand-maintained SDK code.