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docs/debugging-guide
5
Commits
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1baaded0bb |
Consolidate execute-sql-query into execute-sql-mutation (#46944)
## Context Just some clean up as I was going through stuff - `useExecuteSqlQuery` is deprecated and not used at all - As such `execute-sql-query` is technically irrelevant, the more relevant file is `execute-sql-mutation` - Hence opting to consolidate `execute-sql-query` into `execute-sql-mutation` - Also removing `ExecuteSqlError` since its just re-exporting the `ResponseError` type There's a lot of file changes but its essentially just updating the importing statements across the files |
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80da153450 |
Fix for AI Assistant query and deploy confirmation (#46052)
When Assistant requests confirmation to run a query or deploy an edge function if the user doesn't skip or run and instead sends a follow-up message it errors out. This allows follow-up messages and treats them as "skips" which means adjusting confirmation message state as part of the follow-up. This also uses toModelOutput to cleanse data based on permissions. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit ## Release Notes * **New Features** * Enhanced tool approval workflow: pending approvals are now automatically resolved as denied when submitting new messages * Improved chat input state management with better handling of approval states * Customizable loading messages for tool operations * **Bug Fixes** * Fixed chat input availability during pending tool approval states * Improved tool execution feedback during approval workflows <!-- review_stack_entry_start --> [](https://app.coderabbit.ai/change-stack/supabase/supabase/pull/46052?utm_source=github_walkthrough&utm_medium=github&utm_campaign=change_stack) <!-- review_stack_entry_end --> <!-- end of auto-generated comment: release notes by coderabbit.ai --> |
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39ec777d22 |
studio: SafeSql stragglers + remaining tests (6/7) (#46006)
## Summary Part 6 of 7 in the SafeSql migration stack. Picks up the few remaining files that didn't fit cleanly into earlier batches: - `components/Docs/Description.tsx` — comment statements built via `safeSql`. - `components/Integrations/IntegrationOverviewTabV2/InstallIntegrationSheet.test.tsx` — test fixture updated to `SafeSqlFragment`. - `lib/ai/tools/studio-tools.test.ts` — test fixture updated. - `lib/api/generate-v4.test.ts` — test fixture updated. Sets up PR 7, which flips the `executeSql` signature itself. ## Test plan - [x] `pnpm typecheck` passes - [x] Specific Studio unit tests run on top of the stack (`Policies.utils.test.ts`, `SidePanelEditor.utils.createTable.test.ts`, `useQueryInsightsIssues.utils.test.ts`) - [x] Dev-server smoke: Docs panel renders / accepts edits <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Tests** * Updated test suites to reflect internal type definition changes. * **Refactor** * Internal code improvements to enhance type safety and consistency across the codebase. <!-- review_stack_entry_start --> [](https://app.coderabbit.ai/change-stack/supabase/supabase/pull/46006) <!-- review_stack_entry_end --> <!-- end of auto-generated comment: release notes by coderabbit.ai --> |
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d143571586 |
feat(assistant): trace-level scorers + server-side tool execution with needsApproval (#45654)
## Motivation When Assistant runs a potentially destructive tool like `execute_sql`, it stops the LLM request and prompts for client-side approval and execution of the tool. After approval, a second request kicks off under a separate trace. This has made scoring and [Topics](https://www.braintrust.dev/blog/topics) classification challenging, as the generated `output` is split across stateless requests. The [span-level scoring](https://www.braintrust.dev/docs/evaluate/custom-code#score-spans) approach we've used thusfar (after the LLM call, we massage the result into an `output` payload that's stuck onto the root span) has been cumbersome and led to invalid scores / topics where only part of the assistant response is considered. It's also inefficient, as we're duplicating potentially large info (like the `search_docs` output) that already exists within the trace. An alternative to scoring spans is to [score traces](https://www.braintrust.dev/docs/evaluate/custom-code#score-traces). Braintrust [best practices](https://www.braintrust.dev/docs/evaluate/score-online#best-practices) advise: > Use span scope for evaluating individual operations or outputs. Use trace scope for evaluating multi-turn conversations, overall workflow completion, or when your scorer needs access to the full execution context. We've also received [direct guidance](https://supabase.slack.com/archives/C05QYJBLX89/p1777925770927149?thread_ts=1777905716.911979&cid=C05QYJBLX89) from their team to use this approach. ## Changes Migrates eval scorers from custom `AssistantEvalOutput` shape to trace-level scoring via `trace.getThread()` / `trace.getSpans()`, with thread parsing that scores the full latest Assistant turn and passes prior conversation separately where relevant. Moves `execute_sql` and `deploy_edge_function` from client-side execution after approval to AI SDK `needsApproval` + server-side `execute()`. SQL results returned to the model are gated by AI opt-in level, so row data is only included with `schema_and_log_and_data`; otherwise the tool returns the no-data-permissions sentinel. Adds `metadata.isFinalStep` to disambiguate multiple LLM requests within an "assistant" turn due to tool call requests/responses. For online evals, this means we should configure automations to only score traces with `metadata.isFinalStep = true` to ensure we're judging the complete generated response. Other minor kaizen changes: - Renamed `promptProviderOptions` to `systemProviderOptions` to clarify that this is associated with the "system" message and disambiguate from the root `providerOptions` - Adds `evals/trace-utils.ts` to handle Zod validation of the `unknown` span shapes from Braintrust, to more easily access typed inputs/output on tool spans. - Bumps AI SDK floor version `^6.0.116` → `^6.0.174` - Tweaked the "Conciseness" scorer to not unfairly dock points for the new `[called tool_name]` labels in serialized assistant response ## Verification In the studio staging build, I asked Assistant to create a todos table with 3 sample todos. I manually approved the `execute_sql` call and saw Assistant generate text before & after the call. In Braintrust I verified two traces were produced (see [filtered logs](https://www.braintrust.dev/app/supabase.io/p/Assistant/logs?v=Staging&tvt=trace&search={%22filter%22:[{%22text%22:%22metadata.environment%2520%253D%2520%27staging%27%22,%22label%22:%22metadata.environment%2520%253D%2520%27staging%27%22,%22originType%22:%22btql%22},{%22text%22:%22%2560Chat%2520ID%2560%2520%253D%2520%25221cb2ac45-e5e7-458c-9da4-3bf6863b8842%2522%22,%22label%22:%22Chat%2520ID%2520equals%25201cb2ac45-e5e7-458c-9da4-3bf6863b8842%22,%22originType%22:%22form%22}]})), the first with `metadata.isFinalStep = false` and the second with `metadata.isFinalStep = true`. In the Braintrust staging scorers, I ran the preview Completeness scorer on the second trace and verified it sees the complete Assistant response including markers for tool calls ([link to trace](https://www.braintrust.dev/app/supabase.io/p/Assistant%20(Staging%20Scorers)/trace?object_type=project_logs&object_id=b5214b62-ad1e-4929-9d5b-40b1daebe948&r=0ed0a4f8-8aff-4a34-bb1d-1df1d88a5070&s=ff9015f8-6bf7-4ab3-83a9-ca4e69e27e82)) <img width="1193" height="960" alt="CleanShot 2026-05-07 at 11 27 10@2x" src="https://github.com/user-attachments/assets/509d4858-c3a1-4068-986d-3aa4d5617d1a" /> I also tested the `deploy_edge_function` workflow and verified it still prompts for permission and warns on deployment of existing functions. **References** - https://www.braintrust.dev/docs/evaluate/custom-code#score-traces - https://ai-sdk.dev/docs/ai-sdk-core/tools-and-tool-calling#tool-execution-approval Supercedes https://github.com/supabase/supabase/pull/45556 and https://github.com/supabase/supabase/pull/45339 Closes AI-473 <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **New Features** * Tool actions (SQL execution, edge-function deploy) now require explicit user Approve/Deny before proceeding. * **Improvements** * Assistant pauses for approval responses before sending follow-ups, giving clearer control over risky actions. * Deploy/replace flows show confirmation and clearer replace warnings. * Evaluation/scoring updated to use richer trace data for more accurate assistant performance signals. <!-- end of auto-generated comment: release notes by coderabbit.ai --> |
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82deff37de |
feat(assistant): lazy load topic knowledge via load_knowledge tool (#44296)
Moves knowledge (RLS, Edge Functions, PostgreSQL best practices, Realtime) out of the static system prompt and into a `load_knowledge` tool the model calls on demand, reducing prompt bloat. This is a temporary stopgap until the [standard Supabase agent-skills](https://github.com/supabase/agent-skills) are ready for integration in Assistant. - New always-available `load_knowledge` tool added to `rendering-tools.ts` - Updated `Message.Parts.tsx` so the "Ran load_knowledge" chip renders in chat - System prompt replaces the four knowledge blobs with an `## Available Knowledge` block and is hardened to load knowledge for given topics - New "Knowledge Usage" scorer and `requiredKnowledge` assertions check that knowledge loads as expected in test scenarios - Filters GraphQL error responses out of `output.docs` before faithfulness scoring to reduce noise See "Knowledge Usage" scoring 100% in evals with no major regressions: https://github.com/supabase/supabase/pull/44296#issuecomment-4145760236 Sample trace showing the tool in action ([Braintrust](https://www.braintrust.dev/app/supabase.io/p/Assistant/trace?object_type=project_logs&object_id=5a8d02e5-b3b6-40cc-ba76-ecee286478f4&r=351a11c8-9cb7-4945-93ad-d11e8cc2e3e1&s=351a11c8-9cb7-4945-93ad-d11e8cc2e3e1)) <img width="2192" height="1730" alt="CleanShot 2026-03-30 at 13 53 59@2x" src="https://github.com/user-attachments/assets/f483767c-34e0-401c-8089-5b9834fe696a" /> **References** - https://ai-sdk.dev/cookbook/guides/agent-skills Closes AI-508 <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **New Features** * Added dynamic knowledge loading capability enabling the AI assistant to retrieve on-demand information about PostgreSQL best practices, Row Level Security, Edge Functions, and Realtime. * **Bug Fixes** * Improved search results filtering to exclude error responses in tool outputs. * **Tests** * Enhanced evaluation metrics with knowledge usage scoring. * Expanded test dataset cases to validate knowledge requirement handling. <!-- end of auto-generated comment: release notes by coderabbit.ai --> |