## 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
- Add a disabled built-in `litellm` provider fragment backed by the
OpenAI-compatible adapter and local proxy defaults.
- Document how to enable LiteLLM in `settings.toml`, configure
credentials, and declare explicit LiteLLM-routed models.
- Register the LiteLLM integration page and cross-link it from the model
and settings docs.
## Validation
- `cargo test -p fabro-model`
- `cargo test -p fabro-config`
- `jq empty docs/public/docs.json`
- `rg -n 'aliases = \["openai_compatible",
"openai-compatible"\]|llm\.discovery|FABRO_LITELLM|litellm_api_key_env|x-litellm-'
lib/crates/fabro-model/src/catalog/providers/litellm.toml
docs/public/integrations/litellm.mdx
docs/public/core-concepts/models.mdx
docs/public/reference/user-configuration.mdx` returned no matches
---------
Co-authored-by: Mark Ferraz <mferraz@netwoven.com>
## Summary
Adds Ollama as a disabled-by-default built-in catalog provider backed
entirely by provider TOML. Enabling `[llm.providers.ollama] enabled =
true` exposes the bundled `qwen3-coder` sample model through the
existing OpenAI-compatible adapter, while other local Ollama models
still require explicit model blocks until fabro-sh/fabro#267 adds
discovery.
The docs now show the opt-in setting and note that local users can set
`OLLAMA_API_KEY=ollama` for Ollama's OpenAI-compatible endpoint.
## Verification
- `cargo nextest run -p fabro-model`
- `cargo nextest run -p fabro-cli cmd::model`
- `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: roALAB1 <233429779+roALAB1@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
Implemented ACP support as a first-class Fabro backend alongside `api`
and `cli`. This adds a new `fabro-acp` crate using the official ACP Rust
crates, routes `backend=\"acp\"` for agent and prompt nodes, adds
sandbox stdio support for local/Docker/test-support paths, emits ACP
workflow events/projections, updates server steerability handling,
validation, documentation, and black-box CLI coverage.
## Test Plan
Passed strict non-live verification:
- `ulimit -n 4096 && cargo nextest run -p fabro-workflow --run-ignored
all --no-fail-fast` — 1162 passed, 0 skipped.
- `ulimit -n 4096 && cargo nextest run -p fabro-acp -p fabro-sandbox -p
fabro-workflow -p fabro-validate -p fabro-store -p fabro-server -p
fabro-cli --run-ignored all --no-fail-fast -E 'not
test(daytona_streaming_live_smoke)'` — 3125 passed.
- `cargo build --workspace` — passed.
- `ulimit -n 4096 && cargo nextest run --workspace --run-ignored all
--no-fail-fast -E 'not test(daytona_streaming_live_smoke)'` — 5666
passed.
- `cargo +nightly-2026-04-14 fmt --check --all` — passed.
- `cargo +nightly-2026-04-14 clippy --workspace --all-targets -- -D
warnings` — passed.
Live-environment tests skipped/excluded under explicit user override:
- `daytona_streaming_live_smoke` was excluded from final nextest runs
because it requires live Daytona infrastructure and `DAYTONA_API_KEY`.
- Confirmed with `env -u DAYTONA_API_KEY cargo test -p fabro-sandbox
--features daytona --test daytona_streaming_live
daytona_streaming_live::daytona_streaming_live_smoke -- --ignored
--exact --nocapture`: failed fast with `DAYTONA_API_KEY must be set to
run this live smoke test`.
## Summary
Removes Fabro's automatic retro generation stage so workflow runs go
directly from execution to finalization and optional PR creation. This
drops the retro-specific crate, events, projection fields, config/API
knobs, and user-facing docs in favor of the existing durable run
observability surfaces.
## What Changed
- Deleted the `fabro-retro` crate and the workflow `retro` pipeline
phase, with finalization now consuming `Executed` state directly.
- Removed retro configuration and API surface area, including
`--no-retro`, `[run.execution].retros`, manifest `no_retro`,
`features.retros`, and run projection `retro*` fields.
- Retired typed `retro.*` events while keeping historical event logs
readable by deserializing retired retro event names as `Unknown`.
- Stopped appending retro sections to generated PR bodies and updated
docs, marketing copy, screenshots, and navigation to point users toward
observability/event-stream inspection.
## Testing
Not run during PR creation; this branch already contained the
implementation commit.
---
[](https://github.com/EveryInc/compound-engineering-plugin)
🤖 Generated with GPT-5 (unknown context, reasoning unspecified) via
[Codex](https://openai.com/codex)
Reframe the deployment docs around the actual product story: Fabro
runs as a server, and the only deployment question is where that
server runs (laptop vs self-hosted Docker). Drop the Render, Fly.io,
and DigitalOcean guides and their config files; keep Railway as the
managed shortcut.
- New: administration/deployment.mdx (overview, two-mode framing)
- New: administration/self-host-docker.mdx (compose-first how-to)
- Move: administration/deploy-server.mdx -> reference/server-operations.mdx
(it was operational reference, not deploy guidance)
- Delete: deploy-render.mdx, deploy-fly-io.mdx, deploy-digital-ocean.mdx
- Delete: render.yaml, fly.toml, railway.toml, Dockerfile.deploy
- docker-compose.yaml: load .env if present so users can drive the
stack from a single env file end-to-end
- Update internal links and the docs-test that pinned the old path
Reflect Docker as the default sandbox provider, add `skip_clone` for
clone-based providers, document the `[run.sandbox.docker]` config
table, and update tutorial command lines from `files-internal/...` to
`docs/internal/...`. Bump the docs skill watermark to the latest synced
commit.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Invert the docs convention so the Mintlify-published site lives under
docs/public/ and internal artifacts (strategy docs, brainstorms, plans,
etc.) sit at docs/ root or docs/internal/. Tools that default to writing
into docs/ now land in the catch-all instead of leaking into the
published tree.
- Move Mintlify content (administration/, agents/, api-reference/,
changelog/, core-concepts/, examples/, execution/, getting-started/,
human-tools/, integrations/, languages/, reference/, tutorials/,
workflows/, images/, logo/, docs.json, favicon.svg, dot-highlight.js)
into docs/public/.
- Collapse docs-internal/ into docs/internal/.
- Update Rust path references (fabro-api/build.rs, fabro-server,
fabro-dev), TypeScript generator arg, CI path filters, clippy.toml
reasons, AGENTS.md/CLAUDE.md, and README.md image refs.
Mintlify dashboard project root must be updated to docs/public/ in a
follow-up. .mintignore move/trim and .claude/skills/ updates land in a
separate commit.
