Adds **Amazon Bedrock** as an opt-in built-in provider, over Bedrock's
unified **Converse / ConverseStream** API. One codec serves every
Converse-capable family — Claude, Amazon Nova, Meta Llama, Mistral,
DeepSeek, Moonshot Kimi, Z.AI GLM, MiniMax, NVIDIA Nemotron, and OpenAI
gpt-oss — because AWS translates the envelope to each model's native
dialect server-side. Auth is either **AWS SigV4** (the default
credential chain — env / profile / IMDS / IRSA / SSO, resolved per
request so sessions refresh) or a **Bedrock API key**
(`AWS_BEARER_TOKEN_BEDROCK`, bearer). Disabled by default (the Ollama /
OpenRouter opt-in pattern).
This is the redo of #459's original Claude-only `InvokeModel` adapter,
rebuilt on the gateway-refactor seams (#481–#497). @depopry's SigV4
signer, AWS event-stream frame decoder, `BedrockAuth`, the `aws_sigv4`
credential grammar, `AdapterKind::Bedrock`, region-from-base_url, and
the lean-deps decision are preserved and authored by him on the first
two commits; the per-family `BedrockCodec` trait he wrote turned out to
be the crate-wide `Codec` seam in miniature, so the refactor promoted
exactly that shape. The original Claude-only description is preserved in
a comment below.
## What's here
- **`AdapterKind::Bedrock` × `CodecKind::BedrockConverse`** on the
route, plus the `aws_sigv4` credential source (no static secret — the
adapter signs at request time; `fabro-auth` stays AWS-free).
*(@depopry)*
- **SigV4 signer + AWS event-stream `FrameDecoder`** on the lean AWS
stack (no `aws-sdk-bedrockruntime`; transport stays on `fabro-http`).
Re-targeted at Converse's direct-JSON stream frames; the signer resolves
credentials per request. *(@depopry)*
- **`bedrock_converse` codec** — Converse envelope (`system[]`, typed
content blocks, `inferenceConfig`, `toolConfig`), prompt caching via
`cachePoint`, thinking-signature round-trip through `reasoningContent`,
usage mapped onto the disjoint `TokenCounts` buckets,
`provider_options.bedrock` passthrough. Plus the adapter shell and an
event-stream byte loop beside the transport's shared SSE loop.
- **Catalog**: `bedrock.toml` (Claude incl. Fable 5, Nova 2, Llama 4,
Mistral, DeepSeek, Kimi, GLM, MiniMax, Nemotron, gpt-oss — cross-region
inference-profile ids, per-model `billing_policy` so Claude bills
Anthropic-style) and a companion **`bedrock-openai`** provider for
GPT-5.5/5.4 over the `bedrock-mantle` Responses endpoint (pure config
over the existing `openai_responses` codec, zero new code).
- Secrets registry (`AWS_BEARER_TOKEN_BEDROCK`), gitleaks rules for both
Bedrock key formats, the `docs/integrations/bedrock` guide, and live e2e
tests.
## Live verification (confirmed end-to-end against a real AWS account)
Verified on a real Bedrock account (us-east-2, SigV4 + bearer):
- **SigV4 + Converse** — multiple families (Claude, Nova, DeepSeek, …)
via the full settings → catalog → route → adapter → codec path.
- **ConverseStream** — streaming deltas through the workflow engine.
- **Multi-turn tool use** — agent loop with tool calls round-tripping
(no-arg tools included).
- **Multi-model routing** — Claude + DeepSeek pinned in one run through
the single Converse codec.
- **mantle Responses** — `openai.gpt-5.5` answered via the
`bedrock-openai` provider (bearer auth).
The exercise caught and fixed several issues that unit tests (static
creds, mocked transports) could not — see the follow-up commits below.
## Follow-up fixes from live testing (commits on top of the foundation)
1. **Worker AWS env** — the workflow worker scrubs its env to an
allowlist, so SigV4 (which re-resolves from the ambient chain per
request) couldn't work through `fabro run`. The AWS credential-chain
inputs now cross into the worker.
2. **Vault bearer key** — Bedrock was the only key-based provider
missing a `vault:` credential ref, so `fabro secret set
AWS_BEARER_TOKEN_BEDROCK` silently didn't feed it. Now resolves env →
vault → SigV4.
3. **Converse tool-encoding hardening** — a no-arg tool call's
`toolUse.input` is now a `{}` object (Bedrock rejects null), and every
tool `inputSchema` gets a top-level `type: "object"` (strict families
like DeepSeek reject a typeless schema Claude tolerates).
4. **Nova output cap** — `amazon.nova-2-lite` max_output 65536 → 65535
(Bedrock's per-request limit).
Earlier fixes already folded into the foundation commits: the
`aws-config` sleep-impl (default chain panicked) and AWS error-body
decoding (top-level `message`/`Message`/`__type` → proper messages
instead of "Unknown error").
## Manual testing & setup
See `docs/integrations/bedrock` — now documents the non-obvious account
setup that live testing surfaced: the per-Region Anthropic use-case
approval, `aws-marketplace:Subscribe` for third-party models, the Fable
5 / Mythos-class data-sharing opt-in, and the bearer-vs-SigV4 precedence
override for running Converse + mantle side by side.
## Open decision / discussion
- **Model-id naming** — Bedrock rows use dotted ids mirroring Bedrock's
native inference-profile ids (`us.anthropic.claude-sonnet-4-6`,
`openai.gpt-5.5`), which also makes them the wire `api_id`. Third scheme
alongside bare ids and OpenRouter's `vendor/model` slashes. No collision
risk (enforced at catalog build). Open to a uniform scheme if preferred.
- **`BEDROCK_API_KEY` alias** — see the comment thread; the AWS console
hands some users `export BEDROCK_API_KEY=` while the SDK-standard var is
`AWS_BEARER_TOKEN_BEDROCK`. Question of whether to accept both.
## Deferred (named follow-ups)
- **`qwen.qwen3-coder-next`** — omitted pending a verified Bedrock
model/inference-profile id (its fabro id isn't a valid Bedrock
identifier; needs an explicit `api_id`). Re-add once confirmed via `aws
bedrock list-inference-profiles`.
- **Claude Mythos 5** — Anthropic-Messages-only on `bedrock-mantle`
(limited preview).
- **Converse structured output** (`response_format` rejected with a
clear error).
- **`reasoning_effort` on Converse rows** via
`additionalModelRequestFields` (the `bedrock-openai` GPT rows already
accept effort levels).
- **CountTokens** route (`count_input_tokens` returns `None`).
## Verification
`cargo nextest run --workspace`: green except the pre-existing
environment-dependent fabro-workflow failures (identical on main).
clippy `-D warnings` + pinned-nightly fmt clean. Codec unit tests +
adapter httpmock tests + frame-decoder/signer locks.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
Co-authored-by: Scott Werner <scott@sublayer.com>
Co-authored-by: Scott Werner <stwerner@vt.edu>
The first feature payoff of the gateway refactor series (#481–#496):
OpenRouter lands as **pure configuration over the `openai_compatible`
codec** — no new adapter, no new `AdapterKind`, no OpenRouter codec
fork. Redone from #438, which prototyped this pre-refactor as ~2,500
lines including a dedicated adapter and parallel codec plumbing; this
PR's fabro-llm diff is the usage-superset decode plus a TOML file.
## What's here (3 commits)
**Per-model `billing_policy` override (fabro-model)** — a model row may
override its provider's billing family: the aggregator case, where
Claude served through an OpenAI-compatible provider bills
Anthropic-style cache reads/writes. `pricing_for`/`billing_facts_for`
and the resolved `Route` read the model-effective policy; unknown
passthrough model ids keep the provider policy. Pinned by a pricing test
(cache writes bill at 1.25× input under the override, $0 under the
provider's OpenAI default).
**Aggregator usage superset in the `openai_compatible` codec** — the
wire usage struct gains tolerant optional fields:
- `prompt_tokens_details.cached_tokens` / `cache_write_tokens` and
`completion_tokens_details.reasoning_tokens` normalize into their
disjoint `TokenCounts` buckets with the same subtraction convention as
the `openai_responses` codec
- in-band `usage.cost` (OpenRouter returns it on every response)
surfaces as `Response.cost_usd` with `cost_source = authoritative`, on
both blocking and streamed responses — #494's client-side estimate
stamping already defers to it by construction
- **deliberate behavior change owned here**: compat providers that
report cached-token details now see them split out of `input_tokens`
(previously ignored — the wire pin placed in PR 0 anticipating exactly
this change flips, and two new OpenRouter-shaped wire pins land)
**The provider package** — `openrouter.toml` (disabled by default, the
Ollama opt-in pattern; curated vendor-namespaced model list; Claude rows
set `billing_policy = "anthropic"`; attribution headers deliberately not
sent unless the operator opts in via `extra_headers`),
`OPENROUTER_API_KEY` env/secret registry entries, a gitleaks rule for
`sk-or-v1-` keys, a live e2e test asserting authoritative cost, and docs
(integration guide + models concept + config reference).
## Deliberate scope cuts (fidelity follow-ups, per the plan)
- `reasoning_details[]` parse + verbatim multi-turn echo,
`cache_control` multipart emission, `provider`/`native_finish_reason`
field reads — the new wire pin proves they're tolerated and ignored
today
- Typed reasoning-param-style / routing codec params — no catalog row
can request reasoning effort yet (no `controls.reasoning_effort`
declared), and routing prefs already pass through
`provider_options.openrouter` verbatim via the existing
adapter-name-keyed merge; typed params land when an operator-level knob
actually needs them
- The OpenRouter Anthropic skin (`/api/v1/messages`) — a future pure
config row pairing the existing `anthropic_messages` codec with bearer
transport
## Verification
- `cargo nextest run --workspace --no-fail-fast`: 6724 passed; only the
known 5 pre-existing environment-dependent fabro-workflow failures
(identical on main)
- Wire snapshots: one deliberate flip
(`decode_usage_ignores_token_details` →
`decode_usage_parses_token_details`) + two new OpenRouter pins (blocking
cost/cache-write, streamed cost); all other snapshots unmodified
- clippy `-D warnings` + pinned-nightly fmt clean
- Builtin catalog unchanged for existing providers: OpenRouter is
`enabled = false`, so the #493 route-equivalence table is untouched
Credit to #438 for the provider research, catalog curation, gitleaks
rule, and docs structure.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
## Summary
Adds Anthropic Claude Fable 5 as a first-class Fabro model without
changing the default Anthropic model. The catalog now exposes
`claude-fable-5` with `fable` and `claude-fable` aliases, 1M context,
128k max output, effort levels, vision/tools, prompt caching, and the
documented pricing.
The Anthropic adapter now handles Fable's API behavior directly: it uses
the `claude-fable-5` API ID, omits the legacy 1M context beta header,
avoids injecting default `thinking`, preserves `output_config.effort`,
omits deprecated `temperature`/`top_p` sampling fields for Fable, and
rejects unsupported manual enabled/disabled thinking configs locally.
Fable refusals are converted into content-filter LLM errors with
`stop_details` preserved. Those refusal errors are fallback-eligible, so
existing `run.model.fallbacks` chains work for both prompt and agent
paths, while no-fallback refusals surface clearly as LLM errors.
## Live QA
Manually exercised the PR branch against a live Anthropic API key from
`~/.fabro.bak/.env.bak` using a temporary local harness that was removed
before commit. The run covered non-streaming completion via `fable`,
token counting via `claude-fable`, streaming completion, the deep
model-test path with tools/reasoning, local rejection of manual thinking
config, and a live refusal probe. The live run initially exposed
Anthropic's Fable rejection of `temperature`; this PR now strips
deprecated sampling fields for Fable and the live harness then passed
6/6 checks.
## Testing
- `cargo test -p fabro-llm --test live_fable_manual -- --nocapture
--test-threads=1` -> 6 passed against live Anthropic, temporary harness
removed afterward
- `cargo nextest run -p fabro-llm
encode_fable_uses_api_id_effort_and_omits_1m_beta`
- `cargo nextest run -p fabro-model -p fabro-llm -p fabro-workflow` ->
1808 passed, 41 skipped
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo insta pending-snapshots` -> no pending snapshots
- `git diff --check`
---------
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
## Summary
Enforce Cargo lockfile use across CI and release automation so jobs fail
on stale `Cargo.lock` state instead of resolving dependencies
implicitly. This adds `--locked` to Rust CI, release builds/tests,
nightly release tagging, the TypeScript workflow's embedded Rust build,
and helper-owned Cargo calls in `fabro-dev`.
This also fixes the Linux CI flake exposed by the PR: canceling a
durably blocked in-process run could take the abort path while the
workflow was still unwinding a human-input gate, causing
`run.failed(cancelled)` to be followed by `run.unblocked`. That invalid
event order broke projection rebuilds and made `GET /runs/{id}` return
404. Cancellation now uses the durable lifecycle status when selecting
the in-process blocked-run path, so the pending interview is cancelled
before the terminal event is emitted.
The release command's intentional `cargo update --workspace` step is
unchanged, because that step updates `Cargo.lock` after bumping the
workspace version.
## Testing
- `cargo nextest run --locked -p fabro-dev --features dev -E
'test(dry_run_computes_stable_version_from_date) |
test(dry_run_prints_equivalent_build_commands)'`
- `cargo --locked dev release --dry-run --skip-tests --release-date
2026-01-01`
- `cargo --locked dev docs check`
- `cargo nextest run --locked -p fabro-server --features test-support
cancel_durably_blocked_in_process_run_cancels_pending_interview_without_abort_signal
--status-level fail --final-status-level fail --show-progress none`
- `cargo nextest run --locked -p fabro-server --features test-support
--test it scenario::lifecycle --profile ci --status-level fail
--final-status-level fail --show-progress none --no-fail-fast`
- Linux Docker stress reproduction: `cargo nextest run --locked -p
fabro-server --features test-support --test it
scenario::lifecycle::full_http_lifecycle_cancel --profile ci
--stress-count 200 --status-level fail --final-status-level fail
--show-progress none`
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo +nightly-2026-04-14 clippy --locked -p fabro-dev --features dev
--all-targets -- -D warnings`
- `cargo +nightly-2026-04-14 clippy --locked -p fabro-server --features
test-support --all-targets -- -D warnings`
- `git diff --check`
Full `cargo nextest run --locked -p fabro-dev --features dev` currently
has two unrelated policy-test failures:
`policy::catalog_builtin_references_stay_in_allowlist` and
`policy::workflow_template_rendering_call_sites_stay_in_allowlist`.
---
[](https://github.com/EveryInc/compound-engineering-plugin)
🤖 Generated with GPT-5 via [Codex](https://openai.com/codex)
---------
Co-authored-by: Release Repro <release-repro@example.com>
## Summary
Moves provider-specific facts out of `AdapterKind` metadata and into
provider catalog data, leaving adapters responsible for runtime protocol
behavior. This makes providers that share an adapter mostly TOML-driven
while still surfacing adapter construction failures during readiness
checks.
## What Changed
- Provider TOML now owns auth mode, API-key/header policy, billing
policy, agent profile, base URLs/env overrides, extra headers, and probe
markers.
- Auth, install, config, diagnostics, and server flows resolve provider
credentials from catalog auth config, including API-key, header-only,
and no-auth providers.
- LLM client registration now reports adapter construction failures,
validates final adapter requests before HTTP dispatch, and preserves
custom primary auth headers.
- Billing and docs now use provider-owned billing policy instead of
adapter metadata, and the old adapter metadata surface is removed.
## Reviewer Notes
OpenAI-compatible `base_url` validation now happens during
adapter/client registration rather than catalog build. That keeps
catalog parsing adapter-agnostic while still letting readiness and model
listing reflect providers that cannot register.
## Verification
- `cargo check -p fabro-model -p fabro-auth -p fabro-llm -p fabro-server
-p fabro-cli`
- `cargo nextest run -p fabro-llm -- adapter_registry`
- `cargo nextest run -p fabro-model -- catalog`
- `cargo nextest run -p fabro-auth -- api_key`
- `cargo nextest run -p fabro-server -- install`
- `cargo +nightly-2026-04-14 fmt --check --all`
---
[](https://github.com/EveryInc/compound-engineering-plugin)
🤖 Generated with GPT-5 via [Codex](https://openai.com/codex)
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
Adds catalog-level `agent_profile` overrides so custom providers and
individual models can choose Anthropic, OpenAI, or Gemini agent behavior
independently from their adapter default. The effective precedence is
model override, then provider override, then adapter metadata.
## What Changed
- Added typed provider/model `agent_profile` settings in `fabro-config`
and `fabro-model`, with serde/strum support for `anthropic`, `openai`,
and `gemini`.
- Centralized effective profile resolution in the catalog, including
provider alias canonicalization and a guard against unrelated model
overrides leaking across providers.
- Updated run startup, API sessions, CLI/ACP backends, prompt
project-memory discovery, and standalone agent startup to use the
resolved catalog profile.
- Documented provider-level and model-level `agent_profile`
configuration in the public model and user configuration docs.
No OpenAPI or model-list response shape changes are included.
## Validation
- `cargo nextest run -p fabro-model -p fabro-config -p fabro-workflow -p
fabro-agent` passed: 1826 passed, 125 skipped.
- `cargo +nightly-2026-04-14 fmt --check --all` passed.
- `cargo +nightly-2026-04-14 clippy -p fabro-model -p fabro-config -p
fabro-workflow -p fabro-agent --all-targets -- -D warnings` passed.
- `git diff --check` passed.
- `cargo nextest list -p fabro-dev` confirmed there is no docs-options
reference test target to run.
## Post-Deploy Monitoring & Validation
Watch workflow and agent-session logs for provider/model resolution
errors, unexpected project-memory file selection, or CLI/ACP launch
command mismatches on custom catalog providers. Healthy signal: custom
provider/model runs start normally and use the intended profile-specific
behavior. Failure trigger: repeated `Provider ... is not configured`
errors, missing expected project memory, or profile-specific agent
startup failures after configuring `agent_profile`. Mitigation is to
remove the override from config or revert this PR. Validation window:
first deploy cycle after merge; owner: release/on-call engineer.
---
[](https://github.com/EveryInc/compound-engineering-plugin)
🤖 Generated with GPT-5 via [Codex](https://openai.com/codex)
## Summary
`fabro validate` had inconsistent behavior for undefined template
variables depending on whether the prompt was inline or loaded via an
`@file` reference. Inline `{{ inputs.foo }}` produced a warning and
validation passed; the same expression inside a `@file`-imported prompt
produced a hard validation error.
Fixes#286.
## Root cause
Two template-rendering passes with different strictness, applied to
disjoint inputs:
1. **DOT-source pass**
(`lib/crates/fabro-workflow/src/operations/create.rs`) honored
`RenderMode::Structural` for `fabro validate` — undefined variables
downgraded to a `Severity::Warning` diagnostic, then lenient render
finished the job.
2. **Per-attribute pass**
(`lib/crates/fabro-workflow/src/transforms/variable_expansion.rs`)
inside `TemplateTransform` was always strict and had no `RenderMode`
awareness. Because `FileInliningTransform` runs *before*
`TemplateTransform`, expressions inside `@file` content only ever
encountered the strict pass.
## Fix
- Plumb `RenderMode` through `TransformOptions` into
`TemplateTransform`.
- In `RenderMode::Structural`, the transform catches
`TemplateError::UndefinedVariable` per attribute, emits a warning
diagnostic, and falls back to `render_lenient`.
- Diagnostics flow through a new `Transformed.diagnostics` field into
`Validated` alongside lint output.
- Diagnostics now include `node_id` when the undefined variable was
found inside a node attribute, which is more useful than the previous
"at line 1" location.
- `RenderMode` and the shared `template_undefined_variable_diagnostic`
helper moved to `pipeline/types.rs` so the transform layer can reach
them without a circular dep.
Strict mode (`fabro run`, preflight) is unchanged — undefined inputs
still hard-fail before a run is created.
## Behavior
Illustrative output shapes (variable names and line numbers depend on
the fixture):
Inline prompt (unchanged):
```
warning: undefined template variable `inputs.<name>` at line <n> (template_undefined_variable)
Validation: OK
```
`@file`-imported prompt (previously a hard error, now matches inline —
node-attributed instead of line-attributed):
```
warning [node: <id>]: undefined template variable `inputs.<name>` in node `<id>` (template_undefined_variable)
Validation: OK
```
## Test plan
- [x] `cargo nextest run --workspace` — 5773/5773 passing
- [x] `cargo +nightly-2026-04-14 clippy --workspace --all-targets -- -D
warnings` clean
- [x] `cargo +nightly-2026-04-14 fmt --check --all` clean
- [x] New regression test
`bare_fabro_with_unbound_inputs_in_imported_prompt_validates_structurally_with_warning`
in `lib/crates/fabro-cli/tests/it/cmd/validate.rs` against new fixture
`test/templated_unbound_imported/`
- [x] Existing
`bare_fabro_with_unbound_inputs_validates_structurally_with_warning` and
`strict_render_hard_fails_on_unbound_inputs` still pass — verifies
inline structural and run-start strict behavior are both preserved
- [x] Manual reproduction of the exact inputs from the issue now
succeeds with a warning
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Aleksi Asikainen <1086393+salieri@users.noreply.github.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
Finish phase 9 of the configurable LLM provider/model work by aligning
public docs, release notes, and guardrails with the implementation
already landed in phases 0-8.
- documents settings-driven providers/models, OpenAI-compatible gateway
examples, typed `extra_headers`, model `api_id`, controls, and per-speed
costs
- adds the 2026-05-13 changelog entry and provider string migration note
- updates the internal phase plan ledger to reflect current
implementation status
- adds a workspace policy test blocking direct production
`Catalog::builtin()` usage outside catalog owner/test code
- clarifies `Provider` as a built-in compatibility enum while open-ended
identity is `ProviderId`
## Verification
- `cargo nextest run -p fabro-dev --features dev --test it policy`
- `cargo dev docs check`
- `cargo nextest run -p fabro-model -p fabro-config -p fabro-auth -p
fabro-llm`
- `cargo build --workspace`
- `cargo nextest run --workspace` (5717 passed, 182 skipped, nextest
reported 1 leaky test)
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo +nightly-2026-04-14 clippy --workspace --all-targets -- -D
warnings`
- `git diff --check`
## Summary
This PR moves Fabro’s provider/model catalog toward settings-driven
provider identity by replacing the closed provider schema at the
API/auth/model boundary with `ProviderId`, then loading built-in
provider and model metadata from embedded per-provider TOML files.
The immediate result is that built-ins now use the same settings-shaped
catalog data that custom providers will use later, while request-serving
paths still keep the existing bootstrap/default catalog behavior until
the resolved-catalog plumbing lands.
## Changes
- Replaces API-facing provider enum usage with string-backed
`ProviderId`, including OpenAPI/progenitor replacements and regenerated
TypeScript client models.
- Routes model, auth, billing, CLI, server, and workflow call sites
through provider IDs where they cross product identity boundaries.
- Builds `Catalog` from settings-shaped provider/model data with
validation for adapter keys, OpenAI-compatible `base_url`, duplicate
aliases, provider defaults, disabled entries, model controls, and
per-speed cost rows.
- Replaces `catalog.json` with embedded provider TOML files under
`lib/crates/fabro-model/src/catalog/providers/`.
- Adds an explicit `fabro_model::bootstrap_catalog` hatch for
setup/install paths and extends the dev policy test to keep bootstrap
access contained.
- Preserves public training and knowledge-cutoff labels in LLM model
settings while still accepting bare TOML dates.
## Verification
- `cargo nextest run -p fabro-model -p fabro-config -p fabro-api` — 416
passed
- `cargo nextest run -p fabro-dev --features dev
bootstrap_catalog_references_stay_in_allowlist` — 1 passed
- `cargo +nightly-2026-04-14 fmt --check --all`
- `cargo +nightly-2026-04-14 clippy --workspace --all-targets -- -D
warnings`
- `cargo build --workspace`
- `git diff --check`
---
[](https://github.com/EveryInc/compound-engineering-plugin)
🤖 Generated with GPT-5 via [Codex](https://openai.com/codex)
## Summary
This lays the groundwork for settings-driven LLM providers and models
without switching production routing yet. The new schemas and shared
vocabulary let later catalog construction treat provider/model identity
as data while keeping adapter behavior and control values Rust-owned.
## What changed
- Added `[llm.providers]` and `[llm.models]` settings layers with sparse
per-entry merging, whole-array replacement for credential/alias/control
lists, TOML date support for `knowledge_cutoff`, and typed `credential:`
/ `env:` references that reject literal secrets.
- Added `ProviderId`, `ModelId`, and a shared `ReasoningEffort` enum in
`fabro-model`, plus adapter metadata for `anthropic`, `openai`,
`gemini`, and `openai_compatible`.
- Added a matching `fabro-llm` adapter factory registry with parity
tests to keep metadata keys and factory keys in sync.
- Added `[run.model.controls]` defaults through config resolution and
runtime settings types.
- Added a workspace policy test to prevent future `bootstrap_catalog`
use outside install/test-support paths.
### Plan Summary
- This is the foundation slice of the settings-driven catalog plan.
- Production still uses the existing `Provider` enum and
`Catalog::builtin()` call paths.
- ProviderId routing, OpenAPI regeneration, auth resolver changes,
resolved `Arc<Catalog>` injection, typed request speed, and per-speed
billing are deferred follow-ups.
⚒️ Generated with [Fabro](https://fabro.sh)
---------
Co-authored-by: Fabro <noreply@fabro.sh>
Co-authored-by: fabro-bot <fabro-bot@fabro.sh>
Co-authored-by: Bryan Helmkamp <bryan@brynary.com>
Expose the CLI reference renderer through a hidden fabro subcommand so fabro-dev can refresh docs without linking fabro-cli. Gate the fabro-dev binary behind the dev feature and update the cargo dev alias to opt into it explicitly.
Scrub Cargo build-script environment from nested cargo commands so cargo dev does not poison fingerprints, and preserve unchanged SPA asset files while refreshing embedded assets.
Mintlify parses pages as MDX and rejects HTML-style `<!-- ... -->`
comments, which broke the docs deployment on cli.mdx with a parse
error. Switch the generator fences (and the matching markers in the
two reference pages and the dev test fixtures) to `{/* ... */}` so
Mintlify can parse them.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Runs the workspace test suite N times via `cargo nextest run --no-fail-fast`
and appends one row per testcase to a CSV (git_sha, run_index, started_at,
binary, package, classname, test_name, status, duration_ms). Group ≈ package
is derived from the JUnit testsuite name.
The lenient `[profile.bench]` (with junit.path) is synthesized at runtime to
target/bench-tests/nextest-tool.toml and passed via `--tool-config-file`, so
nothing needs to be added to .config/nextest.toml.
Intended use: collect samples on the current checkout, switch SHAs, collect
again, then diff/aggregate externally to hunt slowdowns.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
When the packaged container starts as root, map the mounted Docker socket's group into the container and add the unprivileged fabro user before dropping privileges. This lets Docker sandboxes work with socket mounts from OrbStack, Docker Desktop, and Linux daemons whose socket GID varies by host.
Relocate the Mintlify tree to docs/public and consolidate internal docs under docs/internal. Update build scripts, tests, CI filters, README references, and local docs skills to follow the new layout.
Keeps the repo root tidy. The staged Linux musl binaries used by
the Dockerfile and the release pipeline now live at
tmp/docker-context/<arch>/fabro instead of docker-context/<arch>/fabro.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Consolidate workspace_root, PlannedCommand, shell_arg, markdown_cell, and
replace_generated_region into commands/mod.rs; unify fabro_dev/output_text/
write_file/read_file into tests/it/main.rs. Drop the abandoned check-boundary
subcommand.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Add a settings reference generator backed by OptionsMetadata on the sparse config layer structs. The generated user-configuration page is fenced and checked in CI alongside the CLI reference.
Add a cargo dev generator for the CLI reference and gate the generated docs in CI. The generator reads the fabro clap command tree through a narrow public reference surface so CLI docs drift is caught without exposing runtime command internals.
