Zenml Io Kitaru Skills Kitaru Gemini Interactions Migration

Migrate Gemini Interactions to Kitaru

What this skill does

Use this skill to inspect existing Gemini Interactions / Google GenAI code and move the safe outer interaction boundary to Kitaru's kitaru.adapters.gemini surfaces.

The output should be conservative:

1. A source pattern inventory.
2. A migration plan that classifies each important pattern as direct, approximate, or absent.
3. Migrated or proposed code using KitaruGeminiInteractionsRunner, GeminiInteractionRequest, GeminiInteractionResult, and capture policy.
4. A MIGRATION_REPORT.md section or file that names replay, polling, requires_action, hosted-tool, Antigravity, environment, region, credential, and privacy risks.

Use the user-facing name Gemini Interactions. Treat Antigravity as an important managed-agent/preset use case, not as the primary adapter identity.

Mental model: Google owns the hosted runtime; Kitaru records one stable response

Google owns the hosted interaction runtime: model/agent execution, hosted tools, MCP, web/code execution, Antigravity sandbox/environment internals, background jobs, and server-side interaction history.

Kitaru records one stable Gemini Interactions response with checkpoint_strategy="interaction". Stable means completed or requires_action.

Concrete story: the app sends an interaction request. Google may think, browse, call hosted tools, use an Antigravity environment, or ask for a local function result. Kitaru cannot see all of that internal work. Kitaru records the stable response that comes back. If the response says requires_action, the work returns to your Kitaru flow: run the local tool or ask a human, then send a later function_result request.

When to use this skill

Use it when the user asks to:

• replace client.interactions.create(...) with KitaruGeminiInteractionsRunner.run/run_sync(...);
• migrate client.interactions.get(...) polling to GeminiInteractionRequest.poll(...);
• preserve previous_interaction_id with GeminiInteractionRequest.resume(...);
• migrate function-result turns with GeminiInteractionRequest.function_result(...);
• handle requires_action at Kitaru flow scope;
• review background, store, steps, output_text, hosted tools, MCP, Google Search, code execution, web tools, Antigravity, managed agents, Vertex, API keys, regions, environments, or cache_identity;
• produce a migration report for Gemini Interactions code.

When not to use this skill

Do not use it to:

• migrate classic generateContent code unless the user is explicitly moving it to Gemini Interactions first;
• claim Kitaru can checkpoint Google-owned hosted tools, MCP, web/code execution, background internals, or Antigravity sandbox steps;
• hide requires_action work inside the provider-owned interaction instead of returning it to Kitaru flow scope;
• treat in-progress/background jobs as successful checkpoint outputs;
• make Antigravity look like the core adapter identity.

The three mapping types

Classify each source pattern before editing:

• direct: Kitaru has a close adapter surface for the same outer behavior. Example: client.interactions.create(model=..., input=...) becomes runner.run_sync(GeminiInteractionRequest.start(input, model=...)).
• approximate: The migration is possible, but replay, polling, state, environment, capture, or hosted-tool behavior differs. Example: hosted tool steps remain Google-owned and are captured only as response summaries/artifacts.
• absent: There is no safe automatic migration. Example: a plan to replay each Antigravity file operation as a Kitaru checkpoint.

Unsupported patterns must not be silently approximated. Add a concrete # TODO(migration): ... comment near proposed code, list it in the report, and explain the redesign needed.

Migration workflow

1. Inspect source first. Find genai.Client, client.interactions.create, get, previous_interaction_id, background, store, function calls, function results, status checks, Antigravity/managed agents, environments, Vertex/API-key configuration, and existing Kitaru decorators.
2. Classify every pattern. Use references/concept-map.md and references/gaps-and-flags.md. Count direct, approximate, high-risk, and blocked items.
3. Choose Kitaru boundaries. Use only checkpoint_strategy="interaction". One stable Gemini Interactions response becomes one Kitaru checkpoint.
4. Present the plan before generating code when the migration is more than a tiny entrypoint replacement. Name hosted runtime limits, polling behavior, and privacy capture decisions before editing.
5. Draft migrated code. Replace raw interactions entrypoints with KitaruGeminiInteractionsRunner plus GeminiInteractionRequest. Add status handling for completed, requires_action, and non-stable statuses.
6. Produce MIGRATION_REPORT.md. Include the inventory, chosen boundary, classifications, flags, behavior differences, and verification plan.
7. Verify behavior. Prefer static/import checks. If API-key/Vertex access is unavailable, say the check was static only.

Pattern detection checklist

Look for:

• from google import genai, genai.Client(...), client.interactions.create, client.interactions.get, or Interaction objects.
• model=..., agent=..., environment=..., tools=..., system_instruction=..., generation_config=..., agent_config=..., response_format=..., or response_mime_type=....
• previous_interaction_id, interaction.id, interaction_id, background, store, poll, webhooks, or retry loops.
• status, requires_action, function_call, function_result, call_id, steps, output_text, and manual local tool execution.
• Antigravity agent IDs/presets, managed agents, remote environments, sandbox files, and environment IDs.
• API-key vs Vertex/ADC setup, project, region/location, and client factories.
• Raw interaction payload capture, request manifests, logs, prompts, tool args, generated files, or user data.
• Existing @kitaru.flow or @kitaru.checkpoint wrappers.

Boundary decision rules

• Keep Gemini Interactions as the hosted runtime.
• Use KitaruGeminiInteractionsRunner(name=..., checkpoint_strategy="interaction").
• Use GeminiInteractionRequest.start(...) for new interactions.
• Use GeminiInteractionRequest.resume(...) for previous_interaction_id turns.
• Use GeminiInteractionRequest.function_result(...) to answer a prior requires_action function call.
• Use GeminiInteractionRequest.poll(interaction_id=...) to fetch an existing background interaction. Do not create duplicate jobs to check progress.
• Preserve the model= vs agent= distinction. Set exactly one.
• Use .antigravity(...) for Antigravity managed-agent requests when that preset fits, but report that Antigravity internals remain Google-owned.
• Add cache_identity when the same logical request might run under different projects, regions, credentials, clients, or environment configuration.
• Treat statuses other than completed and requires_action as not safely checkpointable final outputs.

Gemini Interactions migration quick guide

Minimal model interaction:

import kitaru
from kitaru.adapters.gemini import (
    GeminiInteractionRequest,
    KitaruGeminiInteractionsRunner,
)

runner = KitaruGeminiInteractionsRunner(name="gemini_writer")

@kitaru.flow
def write_summary(topic: str) -> str:
    result = runner.run_sync(
        GeminiInteractionRequest.start(
            f"Write a short summary of {topic}.",
            model="gemini-3.5-flash",
        )
    )
    if result.status != "completed":
        raise RuntimeError(f"Expected completed interaction, got {result.status!r}")
    return result.output_text or ""

For full examples, load references/code-patterns.md.

Gap handling rules

When a pattern is unsafe or unsupported:

1. Do not silently approximate it.
2. Add a concrete # TODO(migration): ... comment near the code if producing code.
3. Add a report entry with severity LOW, MEDIUM, HIGH, or BLOCKER.
4. Explain the bad outcome the flag prevents. Example: "creating a new background interaction while polling would start duplicate provider work."
5. Propose the smallest safe redesign.

Report requirements

Every non-trivial migration must include or draft MIGRATION_REPORT.md with:

• source files reviewed and changed/proposed;
• classification totals;
• source pattern inventory;
• chosen Kitaru interaction boundary;
• direct translations;
• approximate translations and caveats;
• flagged items with severity and required action;
• Gemini-specific notes for stable statuses, requires_action, function results, polling/background jobs, model vs agent targets, Antigravity, environments, Vertex/API-key/region/client configuration, cache_identity, capture/privacy policy, and hosted tools;
• verification plan and whether execution was actually run.

Use references/report-template.md when a full report is needed.

Anti-patterns

Avoid these:

• Using any checkpoint strategy except "interaction".
• Treating in_progress, failed, cancelled, incomplete, or budget_exceeded as successful checkpoint outputs.
• Creating a new background interaction when the source meant to poll an existing interaction_id.
• Claiming Kitaru can replay hosted tools, MCP, web/code execution, or Antigravity sandbox internals as granular checkpoints.
• Hiding local function-result work inside provider-owned flow instead of returning it to Kitaru flow scope.
• Mixing model= and agent= in one request.
• Omitting cache_identity when project/region/credential/client differences change the meaning of the cached request.
• Saving raw prompts/provider payloads without an explicit privacy decision.

References

Load only the reference file needed for the current task:

• references/concept-map.md — source-to-target mapping table and classification guidance.
• references/code-patterns.md — import-complete migration examples.
• references/gaps-and-flags.md — severity definitions, upstream assumptions, and must-flag patterns.
• references/report-template.md — Gemini Interactions-specific migration report template.

Kitaru source references:

• Kitaru Gemini Interactions adapter docs: kitaru/docs/content/docs/adapters/gemini-interactions.mdx
• Adapter exports: kitaru/src/kitaru/adapters/gemini/__init__.py
• Adapter example: kitaru/examples/integrations/gemini_interactions_agent/README.md

Source: zenml-io/kitaru-skills — distributed by TomeVault.