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Module 7 of 7 · 56 min

Migrate Gemini Workflows with Evidence

Inventory dependencies, separate portable contracts from Gemini-specific behavior, compare SDKs, models or providers, canary safely, and preserve rollback through lifecycle changes.

Google

By the end

You will be able to

  • Inventory Gemini API, SDK, model, prompt, content, tool, state, safety, data, and operational dependencies.
  • Separate portable application contracts from Gemini-specific capabilities.
  • Use current model, SDK, and deprecation evidence plus controlled evaluation.
  • Migrate with coexistence, canary gates, reconciliation, rollback, and accountable closeout.
01

Inventory before changing

Find each SDK and version, credential path, model reference, API version, system instruction, content and part parser, chat state, function schema and response, safety setting, modality, file, data control, evaluation, dashboard, alert, cost assumption, and runbook.

Include AI Studio prototypes, legacy libraries, Gemini API and Google Cloud variants, ADK agents, hosted tools, caches, batches, and shadow clients. Give each dependency an owner, source, risk, and verification method.

02

Separate portable and Gemini-specific contracts

User outcomes, application schemas, authorization policy, evaluation rubrics, telemetry fields, postconditions, and incident rules can remain portable. Candidate parts, finish reasons, safety settings, function-response protocol, model controls, hosted tools, and ADK behavior may be Gemini-specific.

Create explicit adapters without pretending models, APIs, or providers are identical. Preserve native capability where it matters and expose unsupported behavior rather than silently weakening safety, quality, accessibility, or evidence.

03

Use current lifecycle evidence

For SDK migration, compare package, client construction, request and response types, async and streaming behavior, errors, retries, credentials, and feature support. For model changes, compare modalities, tools, limits, settings, safety, latency, usage, and quality.

Verify model status and announced earliest shutdown dates from current official model and deprecation pages. Track previews and legacy libraries proactively with owners; do not copy today's model names into durable architecture.

04

Evaluate, shadow, and canary

Run baseline and candidate against identical representative, multimodal, edge, adversarial, incident, and holdout cases. Compare output, factuality, safety blocks, structured data, state, tool trajectories, latency, usage, and cost by critical slice.

Use offline replay, shadow traffic, or a small canary only where policy permits. Define promotion, hold, and rollback thresholds first; isolate telemetry by version and reconcile possible side effects before shifting traffic.

05

Migrate reversibly and close deliberately

Use configurable routing, versioned prompts and adapters, compatible record changes, dual-read or dual-run patterns when justified, and rehearsed rollback. Keep old and new state and safety mappings explicit until observation passes.

Close after production gates pass, rollback and reconciliation are proven, privacy and security review is complete, documentation is current, deprecated use is resolved or accepted with an owner, and residual risk is acknowledged. Migration away from Gemini follows the same evidence discipline.

Practice activity

Plan and rehearse a Gemini migration

  1. Inventory one workflow across SDK, API, model, credentials, prompts, parts, state, tools, safety, modalities, data, evaluation, telemetry, and operations.
  2. Build a portable-versus-Gemini-specific matrix and map each incompatibility to an adapter, redesign, explicit non-support, data migration, or operational change.
  3. Use synthetic no-paid-call fixtures for a baseline/candidate evaluation and define offline, shadow or canary promotion, hold, rollback, reconciliation, and deprecation-exit criteria.
  4. Rehearse a failed canary and record detection, decision, rollback time, state and side-effect reconciliation, communication, owners, and closeout evidence.

What to produce

  • A dependency inventory and compatibility matrix linked to current SDK, model, lifecycle, and troubleshooting sources.
  • A comparison report, rollout plan, successful rollback and reconciliation rehearsal, and signed closeout checklist.

Reflect before continuing

Which dependency looked portable until evaluation exposed a Gemini-specific part, state, safety, tool, or modality contract?

Evidence

Sources and verification

Knowledge check

Make it stick.

Pass at 80%

Choose the strongest answer for each question. Your attempts become part of your device-local transcript.

01What happens before changing an SDK or model?
02Which contract is usually most portable?
03What should an SDK migration compare?
04When are canary rollback thresholds defined?
05What proves closeout?