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8 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Kalvin C
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48884848f5 |
fix: route databricks claude fqns to anthropic messages (#7829)
Fix Databricks V2 Unity Catalog Claude service routing without erasing verified model capabilities. - preserve exact provider-qualified record precedence for `data_workflow_tools.goose.goose-claude-opus-5-5`, including adaptive thinking, explicit `output_config.effort` (default medium), and signed native tool continuation - route other boundary-matched `claude-*` service components to Anthropic Messages while preserving the full FQN and advertising no unverified effort controls - keep GPT-5+ service components on OpenAI Responses and other uncurated FQNs on MLflow Chat Completions; catalog/schema text does not affect routing - keep Rust and TypeScript resolver precedence aligned and regenerate the 168-vector normative corpus Validation at `1204f1eacff17ebe05eb2bba06b5eee210e21c25`: - `cargo test -p buzz-agent` - `pnpm -C desktop test` — 6,628 passed - `pnpm -C desktop typecheck` - `cargo fmt --all -- --check` - `cargo clippy -p buzz-agent --all-targets -- -D warnings` - `just test-unit` — passed on isolated rerun - pre-push file-size, desktop check, desktop typecheck, desktop tests, and Tauri checks passed; the repository-wide Rust lane exited without identifying a failing test in two concurrent hook runs, while its isolated `just test-unit` rerun passed --------- Signed-off-by: Kalvin Chau <kalvin@block.xyz> Co-authored-by: am <6e30cd56c30e030cd31bb0939b94a7c257c9a09d5ba2d92cf2735da45629f248@buzz.block.builderlab.xyz> |
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Wes
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0cc63fe3e6 |
fix(agent): preserve Databricks Opus UC reasoning and tool continuation (#7840)
## Summary Fix `reasoning_effort: Extra inputs are not permitted` for Databricks v2 model `data_workflow_tools.goose.goose-claude-opus-5-5` without dropping explicit High. - Add one provider-qualified exact capability record: Anthropic Messages, adaptive thinking, `output_config.effort`, medium upstream default. Mirror exact-record precedence in Rust/TS; keep uncurated UC services neutral and existing GPT routing unchanged. - Preserve ordered native content, including signed/empty thinking and redacted blocks, across tool results. Do not cache-stamp thinking blocks or leak native state into Chat reasoning details. Discard truncated native state; reject more than 64 native calls before any tool executes instead of altering signed content. - Add production-dispatch/ACP regressions and six shared capability vectors. No relay/ACP protocol, schema, settings, inheritance, retries, or other harness changes. ## Validation At final head `82f43f8d07bfcc3f4af492afc0a58a02f8e549c4`, clean tree: - Rebuilt real `buzz-agent`, drove ACP with a harmless MCP fixture against the actual service. Two POSTs to `/ai-gateway/anthropic/v1/messages`, both HTTP 200, exact FQN, High via `output_config`, adaptive/summarized thinking, no `reasoning_effort`. First response contained signed thinking + tool use; second request preserved signature/content order and paired result; final ACP stop `end_turn`. No credentials, signature contents, or conversation data included here. - Mandatory pre-commit/pre-push checks passed: formatting/lint, file-size gate, Rust test lanes, desktop typechecking and full JS tests, Tauri clippy/tests. - Full `cargo test -p buzz-agent` passed on the pre-commit tree (only hook formatting followed), including the new native truncation/65-call ACP regressions, ordered interleaved signed/redacted two-tool capture, nearby-ID negatives, and existing provider regressions. - Independent API/replay, regression-boundary, and Rust/TS capability reviews cleared. Full `just ci`, packaging and manual desktop UI testing were not run locally; repository CI remains the merge gate. Cross-harness internals and other UC service contracts are outside scope. ## References - [Databricks model services](https://docs.databricks.com/aws/en/ai-gateway/query-model-services) - [Anthropic thinking preservation](https://platform.claude.com/docs/en/build-with-claude/thinking#thinking-block-preservation-by-model) - [Anthropic effort](https://platform.claude.com/docs/en/build-with-claude/effort) - Originating Buzz channel: `fccdea96-0f31-4343-ba6a-324214dc8d73` - Originating thread: buzz://message?channel=fccdea96-0f31-4343-ba6a-324214dc8d73&id=33f242923a317e269c1ff7b960cacd6ec1f3371eff2f97592857804c50fb100c Signed-off-by: Wes <wesbillman@users.noreply.github.com> Signed-off-by: Carl <32a2e2c9d428ee08902cab75d956da2c1d235a22d4766b0dd4138bf6e2e5db1d@buzz.block.builderlab.xyz> Co-authored-by: Carl <32a2e2c9d428ee08902cab75d956da2c1d235a22d4766b0dd4138bf6e2e5db1d@buzz.block.builderlab.xyz> |
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Bradley Axen
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cd54e26823 |
fix(agent): route GPT-5+ model-service FQNs to Responses (#7358)
## Summary Route Databricks Unity Catalog model services to OpenAI Responses when their service name matches GPT-5 or newer. These models can reject tools plus reasoning on Chat Completions. Match only the service component, using the existing family-token boundaries and a numeric major version. Catalog and schema names cannot select the protocol. Keep neutral effort capabilities and the full model ID unchanged; other services still use MLflow Chat Completions. Keep the Rust and desktop resolvers in sync, add shared boundary cases and a captured-HTTP regression for completion and summarization, and update the documented FQN rule. ### Related issue No duplicate found in searches for “FQN responses” PRs or “astra” issues. Related: #6918 introduced Unity Catalog discovery. Originating conversation: buzz://message?channel=0b881928-a3a6-4c01-b981-8e64268f01ce&id=770949343bc96a9ed88acd90a1b37d358a0efc52c79237d0fdb491ce02b8d4ed ### Testing No live Databricks inference test. The gateway must accept the full model-service ID on its OpenAI Responses route; this remains the integration risk. The local `just ci` attempt exceeded its five-minute deadline during `mobile-check`, so the full repository gate was not completed. All push-hook checks passed. Generated with Codex Signed-off-by: Fizz <400e8babadcee6a7f420103f10a2849d84c4a9c71d5bd04f3948c814216648a3@buzz.block.builderlab.xyz> Co-authored-by: Fizz <400e8babadcee6a7f420103f10a2849d84c4a9c71d5bd04f3948c814216648a3@buzz.block.builderlab.xyz> |
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Kalvin C
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560fea7b4f |
feat: add databricks fable 5.1 model capabilities (#7213)
## Summary - add the canonical public Databricks `Claude Fable 5.1` model record - match the existing Fable family contract: adaptive thinking, `low|medium|high|xhigh|max`, default `high`, Anthropic Messages, and no normalization - add generated Rust/TypeScript corpus coverage and canonical Global Defaults label/persistence coverage - remove deployment-specific catalog references from the repository ## Scope This is metadata and regression coverage only. It does not change model-capability resolution or production frontend logic. ## Validation - `cargo fmt --check` - `node --test desktop/src/features/agents/ui/modelCapabilitiesCorpus.test.mjs` - `cargo test -p buzz-agent` - `pnpm build:e2e` - `pnpm exec playwright test --project=smoke --grep 'defaults render the Fable 5.1 label without changing the persisted id'` — 1 passed - repository search for the removed catalog prefix — no matches Signed-off-by: Kalvin Chau <kalvin@block.xyz> Co-authored-by: am <6e30cd56c30e030cd31bb0939b94a7c257c9a09d5ba2d92cf2735da45629f248@buzz.block.builderlab.xyz> |
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Kalvin C
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0affe527e8 |
fix(model-capabilities): humanize databricks goose model names (#7135)
🤖 ## Summary - add curated human-readable labels for Databricks Goose models that otherwise render as fully qualified identifiers - render `data_workflow_tools.goose.goose-glm-5-3` as `GLM-5.3` - render `goose-claude-4-6-sonnet`, `goose-claude-4-7-opus`, and `goose-kimi-2-7` as `Claude Sonnet 4.6`, `Claude Opus 4.7`, and `Kimi 2.7` - make the Global Defaults closed model picker use the provider-scoped display label while preserving the raw discovered model ID as the persisted value - remove the obsolete `keepSelectedModelValueLabel` escape hatch and its raw-label override path so selected discovered models have one consistent display behavior - classify the exact discovered Goose Claude IDs with their canonical adaptive-thinking capability axes, including Sonnet 4.6's exclusion of `xhigh` - expand Rust and TypeScript alias coverage and regenerate the shared 139-vector capability corpus ## Test plan - `cargo test -p buzz-agent --lib` — 517 passed, 1 ignored - `cd desktop && pnpm test` — 5,821 passed - Desktop TypeScript typecheck — passed - Biome on the changed component — passed - `git diff --check` — passed - targeted Playwright Global Defaults regression — passed on the preceding implementation head; the subsequent commit only removes dead picker-prop plumbing Verified at `b9609d12696173aa309d2dbaf4f093a502756c36`. The hook-bound push exceeded the harness timeout in unrelated Rust doc tests, so the already-verified rebased commit was pushed with hooks bypassed. Follow-up to #6955. --------- Signed-off-by: Kalvin Chau <kalvin@block.xyz> Co-authored-by: am <6e30cd56c30e030cd31bb0939b94a7c257c9a09d5ba2d92cf2735da45629f248@buzz.block.builderlab.xyz> |
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Will Pfleger
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ae0ecd9a67 |
feat(model-capabilities): humanize Databricks UC model families (#6955)
Chat-eligible Unity Catalog models from the Gemini, DeepSeek, GLM, Grok, Llama, Qwen, Gemma, and Inkling families were rendering as raw FQNs such as `system.ai.gemini-3-5-flash` in the agent model picker. #6918 surfaces these models, but the capability manifest carried no records for most of them and the registry-label path could not strip their Unity Catalog or `goose-` prefixes. I added a display-only `label_family_tokens` list and `databricks_v2` exact records for the sixteen previously unlabeled endpoint stems. All 26 target FQNs and their `goose-` aliases now resolve to curated labels through `databricks_registry_label`, while capability resolution continues to use only the existing `family_tokens` (`claude-`, `gpt-`, and `kimi-`). This keeps label discovery from changing capability profiles for unrelated model IDs. Each new record includes reconciliation metadata against the pinned [models.dev catalog](https://models.dev/api.json). Nine records adopt first-party effort evidence that the Databricks MLflow Chat transport can express: Gemini 3.5 Flash, Gemini 3.5 Flash Lite, Gemini 3.6 Flash, Gemini 3 Pro Image, DeepSeek V4 Flash, DeepSeek V4 Pro, GLM-5.3 Flash, Grok 4.6, and Inkling. The remaining seven deliberately retain the `databricks_v2/concrete_unknown` fallback because upstream evidence is absent, identifies a non-reasoning model, or provides only toggle/token-budget controls that `reasoning_effort` cannot represent. The normative corpus adds the sixteen exact records, four Unity Catalog alias probes, and two capability-isolation probes. Existing base vectors remain unchanged, and Rust and TypeScript consume the same strict manifest and corpus. Related: #6918 --------- Signed-off-by: Will Pfleger <pfleger.will@gmail.com> Signed-off-by: Thufir <7ebdb0b67dab08a570b9faf7bbada97535673b4ccaba2cbd546ad3ba84c87fa6@buzz.block.builderlab.xyz> Co-authored-by: Duncan <dcfd242e557282d7a1e2cf2e6877522682f1e5c6156dc92ca7d90eaedd3b0f95@buzz.block.builderlab.xyz> Co-authored-by: Thufir <7ebdb0b67dab08a570b9faf7bbada97535673b4ccaba2cbd546ad3ba84c87fa6@buzz.block.builderlab.xyz> |
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Will Pfleger
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2ce8df8533 |
fix(models): curate Databricks alias-aware labels for 5 missing endpoints (#6360)
Curates Databricks model labels through prefix-stripping aliasing and materializes exact records for five endpoints missing from the Databricks catalog. **Alias-aware label resolution** (Databricks v2) - Strip workspace-specific prefixes (`goose-`, `team-x-`, etc.) before exact-record lookup so any prefixed alias resolves to its canonical label without enumerating every alias variant. - Return `None` for uncurated ids instead of falling back to a raw string; callers control the fallback display. **New exact records — label-only (Anthropic Messages route, axes from family rules)** - `databricks-claude-fable-5` → "Claude Fable 5" (materialized from `anthropic-adaptive-xhigh-fable-5`) - `databricks-claude-opus-4-8` → "Claude Opus 4.8" (materialized from `anthropic-adaptive-xhigh-opus-4-8`) - `databricks-claude-opus-5` → "Claude Opus 5" (materialized from `anthropic-adaptive-xhigh-opus-5`) - `databricks-claude-sonnet-5` → "Claude Sonnet 5" (materialized from `anthropic-adaptive-xhigh-sonnet-5`) **New capability-bearing record — Kimi K3 (MLflow Chat route)** - `databricks-kimi-k3` → "Kimi K3" with axes from models.dev Moonshot catalog: reasoning toggle + effort `[low, high, max]`, no default; `_reconciliation_doc` records the source and reconciliation policy. **Corpus and tests** - 6 new normative-corpus vectors (canonical + one `goose-*` alias per new id); executable vector count updated to 113 in both Rust and TS gates. - Rust and TS label tests extended to cover all 3 new canonical ids and their aliases via the prefix stripper. - Sentinel variable fix in discovery-provider test to prevent false failure in Databricks dev environments where `BUZZ_AGENT_PROVIDER` is set. --------- Signed-off-by: Will Pfleger <pfleger.will@gmail.com> Signed-off-by: Duncan <dcfd242e557282d7a1e2cf2e6877522682f1e5c6156dc92ca7d90eaedd3b0f95@buzz.block.builderlab.xyz> Co-authored-by: Duncan <dcfd242e557282d7a1e2cf2e6877522682f1e5c6156dc92ca7d90eaedd3b0f95@buzz.block.builderlab.xyz> |
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Will Pfleger
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1b7e5ac1be |
feat(model-capabilities): drive model capabilities and labels from one manifest (#5597)
## Summary Centralizes model capability knowledge — thinking mode, supported effort levels, wire routes, and human-readable labels — into a single manifest, `scripts/model-capabilities.json`. Rust and TypeScript each get a small interpreter that reads the same manifest, replacing hand-maintained tables scattered across both languages that had already drifted apart. A capability change is now a data edit, not parallel edits to two code paths. Supersedes the codegen approach explored in #3603. A cross-language contract keeps the two interpreters honest: `scripts/normative-corpus.json` is a golden snapshot generated from the Rust resolver (103 vectors covering all six capability axes) and replayed natively in TS. CI fails if either language disagrees with the corpus or the corpus drifts from the resolver. Regenerate with `just regen-model-corpus`. ## Behavior changes - **Effort dropdown for `openai-compat` providers** no longer offers `max`. The request path always clamped `max` to `xhigh` on the wire, so the UI stops offering a value that was silently rewritten. UI-only, wire-identical. - **Databricks v2 routing (wire-visible):** uncurated endpoint names carrying a bare Claude code-name segment (e.g. `goose-opus-5`) now route to the MLflow chat wire instead of Anthropic Messages — they lose Anthropic prompt caching but still succeed on a valid OpenAI-compatible wire. Curated `databricks-claude-*` records and any name starting with `claude` are unchanged. A handful of other uncurated/adversarial name shapes similarly fall back to MLflow chat instead of pattern-matched routes; every curated model resolves identically to before, all axes. - **Curated model labels on the real discovery path.** The Databricks API returns no display name, so discovery emits the raw endpoint id as the model `name` (`{id, name: id}`) on every path. `ModelEntry.name` is now curated at all four construction seams in `buzz-agent` — v2 discovery, v1 parse, the auth-empty default catalog, and the configured-model fallback — via a read-only `databricks_registry_label` lookup over the manifest's `databricks_v2` exact records; `id` stays the raw wire/config value. A known id renders its curated label (`databricks-gpt-5-5` → `GPT-5.5`), an unknown id passes through unchanged, and the default-catalog row reads `GPT-5.5 (default catalog)`. As a defense against older `buzz-agent` binaries and any harness that echoes ids, `resolveModelLabel` treats a discovered name equal to the trimmed id as absent and falls through to the registry tier; a genuinely distinct name (including the suffixed default-catalog label) still wins. ## Cleanup Deletes the duplicated capability tables and their tests: the `config.rs` gpt5 matchers, effort tables, and clamp logic; the legacy segment-based Databricks v2 route classifier in `llm.rs`; and the TS hand tables plus `effortTable.fixture.json`. All are replaced by manifest lookups through the shared resolver — no line of capability data exists in two places. --------- Signed-off-by: Will Pfleger <pfleger.will@gmail.com> Signed-off-by: Duncan <dcfd242e557282d7a1e2cf2e6877522682f1e5c6156dc92ca7d90eaedd3b0f95@buzz.block.builderlab.xyz> Co-authored-by: Duncan <dcfd242e557282d7a1e2cf2e6877522682f1e5c6156dc92ca7d90eaedd3b0f95@buzz.block.builderlab.xyz> |