feat: list Databricks-supported models and enable fuzzy search during model configuration#3039
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Kvadratni merged 2 commits intoblock:mainfrom Jun 23, 2025
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jamadeo
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LGTM. Good find on the fuzzy search option!
| .map(|m| (m, m.as_str(), "")) | ||
| .collect::<Vec<_>>(), | ||
| ) | ||
| .filter_mode() // enable "fuzzy search" filtering for the list of models |
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…text-addition * upstream/main: fix temporal build for windows (block#3045) fix cron parsing for windows (block#3044) feat: list Databricks-supported models and enable fuzzy search during model configuration (block#3039) fix: update index when tool selection strategy changes (block#2991) docs: Add "Add Recipe button" To Recipe Cookbook (block#3038) fix: issue when parsing recipe parameters (block#3031) fix: Improves reliability of flaky log tests (block#3029)
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* main: fix temporal build for windows (#3045) fix cron parsing for windows (#3044) feat: list Databricks-supported models and enable fuzzy search during model configuration (#3039) fix: update index when tool selection strategy changes (#2991) docs: Add "Add Recipe button" To Recipe Cookbook (#3038) fix: issue when parsing recipe parameters (#3031)
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… model configuration (block#3039)
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# By Alice Hau (6) and others # Via Alice Hau * ahau/tool-strategy: (27 commits) fix merge merged updated computercontroller and developer descriptions add additional strats to test fmt update to get vector db path from env var feat: list Databricks-supported models and enable fuzzy search during model configuration (#3039) fix: update index when tool selection strategy changes (#2991) docs: Add "Add Recipe button" To Recipe Cookbook (#3038) fix: issue when parsing recipe parameters (#3031) fix: Improves reliability of flaky log tests (#3029) Add xAI Test Coverage (#3020) Reorganizing tutorials (#3028) feat(providers): update Google Gemini models to latest available models (#2989) fix(docker): install protoc to fix lance-encoding build (#2995) fix: updated openrouter known models (#3021) Mnovich/temporal foreground tasks (#2895) add 'install in goose' asset (#3016) Added useDarkMode hook for detecting dark mode setting dynamically (#3019) docs: add sagemaker provider (#2980) ... # Conflicts: # .gitignore # crates/goose/src/agents/router_tools.rs
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… model configuration (block#3039) Signed-off-by: Soroosh <soroosh.sarabadani@gmail.com>
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… model configuration (block#3039)
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Enable type-to-search filtering on additional dialogs that can have many items: - Project selection (user's project history) - Toggle extensions (multiselect) - Remove extensions (multiselect) - Choose extension to configure tools - Choose tool to update permission - Remove custom provider This complements the earlier provider selection change, following the pattern established in PR block#3039 for model selection. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Enable type-to-search filtering on additional dialogs that can have many items: - Project selection (user's project history) - Toggle extensions (multiselect) - Remove extensions (multiselect) - Choose extension to configure tools - Choose tool to update permission - Remove custom provider This complements the earlier provider selection change, following the pattern established in PR block#3039 for model selection. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> Signed-off-by: Harrison <hcstebbins@gmail.com>
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This PR adds the following changes:
fetch_supported_models_asyncfunction for the Databricks provider. this allows users to interactively select their model during configuration, instead of needing to know the model name ahead of time and typing it in manually. This aligns with how most of the other provider interfaces are implemented (e.g. openai.rs, anthropic.rs). In case of error we returnNoneso the prompt can still fall back to manual inputcliclackprompt. this allows users to type a fuzzy match query against the list of provider models that will dynamically filter the results, making it easier to find the model they're looking for since the lists of supported models can be quite long (e.g. OpenAI provider has 587 supported models, Databricks has 104 supported models)Before this change, Databricks provider model names must be manually input:
After this change, Databricks provider model can be chosen interactively:
And can also be fuzzy searched (e.g.
databricks-):