## 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.
