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fix(ai-mistral): normalize strict-schema null inputs - #956

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jan-kubica:fix/mistral-optional-tool-input
Aug 21, 2026
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fix(ai-mistral): normalize strict-schema null inputs#956
AlemTuzlak merged 13 commits into
TanStack:mainfrom
jan-kubica:fix/mistral-optional-tool-input

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@jan-kubica

@jan-kubica jan-kubica commented Jul 17, 2026

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Mistral strict mode makes optional fields required and nullable. This PR strips only those synthesized nulls after the model replies. Genuine .nullable() values stay.

chat({ outputSchema }) fills required before the adapter runs. This branch now also adds null to enum and const on that path, so the wire schema stays valid JSON Schema.

🎯 Changes

  • Track the exact nullability added when Mistral strict schemas make optional fields required and nullable.
  • Remove only provider-synthesized null fields from streamed tool calls and structured output. Keep genuine .nullable() values.
  • Widen optional enum and const constraints so they admit null, including after the engine has already filled required.
  • Recurse into nested objects and arrays whose type is a union such as ['object', 'null'].
  • Leave nodes that already accept null as-is. Do not wrap them again.
  • Keep oneOf, allOf, not, and $ref schemas on the non-strict fallback. anyOf stays strict only when no branch-dependent widening is required.
  • Do not normalize ambiguous duplicate public tool names.

✅ Checklist

  • I have followed the steps in the Contributing guide.
  • I have tested this code locally with pnpm run test:pr.

🚀 Release Impact

  • This change affects published code, and I have generated a changeset.
  • This change is docs/CI/dev-only (no release).

Testing

This branch is merged with current main. One conflict was in packages/ai-mistral/src/utils/schema-converter.ts. The PR keeps undoNullWidening from @tanstack/ai-utils and does not keep the old transformNullsToUndefined copy.

CI test:knip failed on unused makeMistralStructuredOutputCompatible. That wrapper is now removed. All call sites use makeMistralStructuredOutputCompatibleWithMap.

Commands run after the knip fix (2921af688):

  1. pnpm test:knip — passed
  2. pnpm --filter @tanstack/ai-mistral test:lib — 46 passed
  3. pnpm --filter @tanstack/ai-mistral test:oxlint — 0 errors

Not re-run after this commit: pnpm test:pr and the E2E matrix.

Manual check:

  1. Call chat({ adapter: mistralText(...), outputSchema: z.object({ mode: z.enum(['canary']).optional(), note: z.string().nullable() }) }).
  2. Confirm the wire schema has enum: ['canary', null] for mode.
  3. Confirm an omitted mode comes back missing, and note: null stays.

The easy test path is packages/ai-mistral/tests/mistral-output-schema-chat.test.ts plus the converter tests in packages/ai-mistral/src/utils/schema-converter.test.ts.

Risk / rollback

Low. The change is inside @tanstack/ai-mistral schema conversion. Revert the PR to undo it.

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  • packages/ai-mistral/src/utils/schema-converter.test.ts
  • packages/ai-mistral/src/utils/tool-input-normalizer.test.ts
  • packages/ai-mistral/src/utils/tool-input-normalizer.ts
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📝 Walkthrough

Walkthrough

The Mistral adapter now tracks synthesized null widening during schema conversion and reverses it for structured outputs and tool-call inputs. It preserves explicitly nullable values and uses non-strict fallback for untrackable composed schemas.

Changes

Mistral null normalization

Layer / File(s) Summary
Schema conversion and widening maps
packages/ai-mistral/src/utils/schema-converter.ts, packages/ai-mistral/src/utils/schema-converter.test.ts
Optional fields are widened with recorded metadata. Existing nullable fields remain unchanged. Unsupported compositions use non-strict mode.
Per-tool input normalization
packages/ai-mistral/src/utils/tool-input-normalizer.ts, packages/ai-mistral/src/utils/tool-input-normalizer.test.ts
Tool schemas produce per-name maps that remove synthesized nulls while preserving genuine nulls and avoiding ambiguous duplicate names.
Adapter response and stream integration
packages/ai-mistral/src/adapters/text.ts, packages/ai-mistral/tests/mistral-adapter.test.ts, packages/ai-mistral/tests/mistral-output-schema-chat.test.ts, packages/ai-mistral/package.json, .changeset/gentle-tools-omit.md, packages/ai-mistral/vite.config.ts
Structured responses and tool-call arguments use map-based normalization across completion and cleanup paths. Tests, dependency metadata, release metadata, and Vitest discovery are updated.
Function tool strict-mode integration
packages/ai-mistral/src/tools/function-tool.ts, packages/ai-mistral/src/tools/function-tool.test.ts
Function tool adapters now use converted schemas and computed strictness, including composed-schema fallback coverage.

Estimated code review effort: 3 (Moderate) | ~25 minutes

Merge Risk: ⚪ Minimal · up to c8f7b

This PR localizes Mistral schema normalization to optional and nullable inputs without any supplied evidence of a current correctness or production-impacting issue; no actionable merge-blocking risk remains after normal checks and review.

Sequence Diagram(s)

sequenceDiagram
  participant MistralTextAdapter
  participant SchemaConverter
  participant ToolInputNormalizer
  participant undoNullWidening
  MistralTextAdapter->>SchemaConverter: convert schema with null-widening map
  SchemaConverter-->>MistralTextAdapter: return schema, map, and strict flag
  MistralTextAdapter->>ToolInputNormalizer: create from tool schemas
  MistralTextAdapter->>undoNullWidening: normalize response or tool arguments
  undoNullWidening-->>MistralTextAdapter: return normalized value
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🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 53.33% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 15 functions across 10 files. (2 skipped: 2 unsupported.) Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.
Title check ✅ Passed The title clearly summarizes the main change: normalizing null inputs produced by Mistral strict schemas.
Description check ✅ Passed The description includes the required sections, explains the changes, documents testing, and includes a changeset; the PR test checklist remains unchecked.
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Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In `@packages/ai-mistral/src/utils/schema-converter.ts`:
- Around line 57-64: Update acceptsNull and the strict schema conversion flow to
handle oneOf and allOf recursively before evaluating anyOf or defaulting to
true. Recursively process each composition branch so non-nullable branches are
converted consistently and provider-added null is marked widened rather than
preserved as originally accepted. Add regression coverage for nested objects and
non-nullable oneOf/allOf schemas.
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  • packages/ai-mistral/src/utils/tool-input-normalizer.ts
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Comment thread packages/ai-mistral/src/utils/schema-converter.ts
@jan-kubica

jan-kubica commented Jul 17, 2026

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@jan-kubica Reviewing the latest changes in #956.

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why is this in draft?

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@AlemTuzlak I was limited by the repository rules, which allows only 5 PRs opened at the same time, opening as a draft was a workaround. Flipping to "ready"
[same applies to all other PRs I am copying the message there so the context is kept]

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jan-kubica marked this pull request as ready for review August 20, 2026 15:09
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Thanks for the PR, @jan-kubica! 🙌 @tombeckenham will take a look.

Automated pre-review checks

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  • ⚠️ Merge conflicts with main — please rebase
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@github-actions github-actions Bot added merge-conflicts Conflicts with the base branch — needs a rebase waiting-on: author Waiting for the author to respond or update labels Aug 20, 2026
@tombeckenham tombeckenham added waiting-on: maintainer The ball is in the maintainers’ court and removed waiting-on: author Waiting for the author to respond or update merge-conflicts Conflicts with the base branch — needs a rebase labels Aug 21, 2026
chat({ outputSchema }) fills required before the adapter runs. Add null to enum/const when type already includes null. Recurse into object|null unions. Do not rewrap nodes that already accept null.
@AlemTuzlak AlemTuzlak changed the title fix: normalize Mistral strict null inputs fix(ai-mistral): normalize strict-schema null inputs Aug 21, 2026

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Actionable comments posted: 1

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only still-valid issues, skip the rest with a brief reason, keep changes
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Inline comments:
In `@packages/ai-mistral/tests/mistral-adapter.test.ts`:
- Around line 1-23: Reorder the imports in the Mistral adapter test so all
static imports, including Vitest, TanStack AI, Zod, and
MistralTextProviderOptions, appear before vi.hoisted and vi.mock. Sort each
import’s specifiers according to the project’s lint rules, while retaining only
imports that genuinely require mock initialization to remain dynamic.
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Comment thread packages/ai-mistral/tests/mistral-adapter.test.ts
…tool-input

# Conflicts:
#	packages/ai-mistral/src/utils/schema-converter.ts
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@AlemTuzlak
AlemTuzlak enabled auto-merge (squash) August 21, 2026 09:41
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commit: ad45544

tombeckenham and others added 3 commits August 21, 2026 19:46
knip failed because makeMistralStructuredOutputCompatible had no callers. All call sites use makeMistralStructuredOutputCompatibleWithMap.
@github-actions github-actions Bot added waiting-on: author Waiting for the author to respond or update and removed waiting-on: maintainer The ball is in the maintainers’ court labels Aug 21, 2026
tombeckenham and others added 3 commits August 21, 2026 19:55
Exclude arrays from isSchemaObject so draft-07 tuples stay arrays instead of
being spread into {0,1} objects. Convert each tuple slot and record per-index
maps. Add a Mistral twin of the OpenAI strict-tool null E2E.
…jan-kubica/ai into fix/mistral-optional-tool-input

Keep the unused wrapper deleted (knip). Keep tuple-array conversion and E2E.
@AlemTuzlak
AlemTuzlak merged commit eb774a9 into TanStack:main Aug 21, 2026
9 checks passed
@github-actions github-actions Bot mentioned this pull request Aug 21, 2026
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