Your AI companion for Google PaLM API.
The Google PaLM API was retired, so the useful work is usually legacy cleanup rather than starting a new build. Strawberry can help teams inspect old PaLM references in open documentation, dashboards, code reviews, and Google AI pages, then prepare a migration inventory that makes remaining dependencies and owner decisions explicit.
Find the PaLM assumptions still hiding in the work.
A migration can look complete while a prompt example, SDK reference, model name, or fallback path still points at the retired API. Strawberry can search the material you open and assemble a precise inventory of places that need technical or editorial review.
Turn model migration into an owned decision list.
Replacing a retired model is not merely a find-and-replace exercise.
Teams need to document expected behaviour, test cases, usage limits, cost implications, and the person responsible for accepting the result. A companion can prepare that handoff from the material in view.
Compare prompts and evaluation evidence before declaring success.
A new model can produce plausible outputs while changing safety behaviour, structured output, latency, or the edge cases users depend on. Strawberry can organise existing prompt cases and evaluation notes into a review packet so an engineer can assess a change with evidence.
Keep the migration register current until retirement work is closed.
Legacy dependencies tend to resurface during releases and documentation updates, not on a convenient deadline. Save the migration audit as a PaLM API skill and run a weekly routine that checks the chosen sources for surviving references until the accountable owner closes the list.
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