Design a Python client for a capability-gated LinkedIn contract

A language-client guide to discovery, typed resources, tenant scope, pagination, idempotency, errors, events, and tests without offering executable LinkedIn calls.

Educational research only. LinkedIn account access remains decision-gated. No DewEngine LinkedIn connector is approved or implemented.

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No runnable connector

A Python package must not imply LinkedIn availability

DewEngine has no released Python SDK and no approved LinkedIn adapter. The target catalog is decision-gated architecture, not an endpoint list. A generated client should omit or gate unavailable methods, and examples must not show tokens, URLs, or calls that appear executable. Developers can still design the language contract and fake-provider tests without touching LinkedIn.

Generate methods only from the released manifest
Make policy-gated capability discovery the first client concern

Client structure

Separate transport, resources, and workflow helpers

A maintainable Python library can centralize authentication to DewEngine, timeouts, request IDs, safe retries, and error parsing. Typed modules represent accounts and approved resources; higher-level helpers coordinate pagination or command status without hiding state. Provider credentials never enter the client. Async and sync variants should share semantics rather than diverge in retry or cancellation behavior.

Use opaque DewEngine IDs in public types
Keep raw provider extensions explicitly namespaced

Reads

Make pagination and partial coverage explicit

A list iterator should bind its cursor to workspace, account, resource, filter, and schema version. It must stop safely on an expired or foreign cursor and let callers observe already accepted pages. Automatic iteration should support cancellation and bounded prefetch. Missing values remain optional with provenance; client convenience must not turn partial provider observations into required fields.

Expose page metadata and last confirmed observation
Do not retry authorization or policy errors

Writes

Require idempotency and inspectable command states

If any LinkedIn write were ever approved, the Python call would require an idempotency key and return a durable command object. Helpers can poll or receive events for acknowledged, failed, throttled, or indeterminate status. They must never automatically retry after possible dispatch or label provider acknowledgement as recipient delivery. Approval remains an application workflow, not an SDK default.

Preserve the original command across client retries
Require explicit handling of indeterminate outcomes

Errors and observability

Expose safe machine states with request correlation

Typed exceptions should distinguish input, authentication, authorization, capability-gated, account-action-required, throttled, transient, and indeterminate outcomes. Include a safe request ID and retry metadata only when known. Never expose provider sessions, personal content, or raw sensitive payloads. Instrument application behavior through command and event IDs rather than dumping response bodies.

Make retryability a server-owned classification
Redact exception representations and debug logging

SDK qualification

Test generated behavior against the contract

Client tests should cover gated discovery, tenant-safe IDs, cursor expiry, cancellation, timeouts, retry classification, idempotency, unknown outcomes, schema evolution, redaction, and event verification against fake fixtures. LinkedIn methods require the additional provider, legal, and real-account conformance gates before generation. A complete language guide means complete boundary handling, not a code sample that reaches an unapproved service.

Diff SDK surface against the capability manifest
Fail CI when documentation exceeds released methods

Questions

Before you build.

Is there a DewEngine Python method for LinkedIn profile.get?+

No. There is no released Python SDK or LinkedIn connector. profile.get is an unimplemented target, and a truthful generated client must not expose it as an available method.

Which failures may a Python client retry automatically?+

Only failures the server classifies as transient and definitely before a provider-visible action, with bounded backoff. Authorization, policy, account-action, and indeterminate outcomes require a different path.

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