Model backend rows gain a harness column (claude | pi). A pi-harness row runs
the agent through the pi coding agent instead of the claude binary — pi speaks
the OpenAI Completions API natively, so a bare vLLM/llama.cpp/Ollama endpoint
needs no LiteLLM/claude-code-router translation proxy, and the loop is far
lighter for slow local token throughput. The Claude subscription and existing
claude-harness backends are untouched.
Parity comes from generated per-agent artifacts under ~/.handler-pi (outside
the repo tree, so the clean-tree gate never trips): models.json + settings.json
render the row as a pi provider pinned as the default model; a bundled bridge
extension (pi_bridge.ts) adapts pi's events to the exact stdin/stdout contract
of `python -m handler.hooks` — the Stop/completion gate re-prompts pi with
blockers via a follow-up message, git push runs the test/build/approval gates
and denies on failure, questions defer through an ask_operator tool into the
normal answer/resume flow, and memory recall is injected at session start. The
memory tools are registered natively (pi has no MCP), shelling to a new
`python -m handler.mcpserver --call <tool>` seam that reuses the MCP server's
implementations. Skills reuse the same ~/.claude/skills sync (pi implements the
same SKILL.md standard) plus the repo's committed .claude/skills.
Sessions are single JSONL files pre-assigned via --session, so cross-worker
resume archives/materializes exactly like claude's; the prompt travels on stdin
(pi has no -- separator). The supervisor normalizes pi's event stream on the
fly: assistant message_end feeds last_output, the final agent_end becomes the
run result. The whole chain was validated live against pi 0.84.1 with a stub
OpenAI endpoint: memory injection, push-gate denial (including the protected-
branch approval gate), stop-gate block loop, and ask_operator pause all ran
end to end through the real hooks and DB.
Also: harness selector in the dashboard Models form, pi baked into the control
image (NodeSource 22 for pi's node >= 22.19 floor), PI_BIN override, docs in
docs/local-models.md, fake_pi fixture + 12 tests (361 total green).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KdGv3u3DfTsP1S188KDhVH
Operators can register Anthropic-API-compatible endpoints (a local Qwen/Llama
behind LiteLLM or claude-code-router, an LLM gateway) on the dashboard's
Claude -> Models tab and pick one from a Model dropdown when spawning an agent.
The agent still launches as the same claude binary with the same hooks, skills,
connectors, plugins, and gates — only its ANTHROPIC_BASE_URL / ANTHROPIC_MODEL /
ANTHROPIC_AUTH_TOKEN env differs — and it stays pinned to its backend across
resumes. No selection keeps the worker's Claude subscription untouched.
- claude_models table (+ agents.model_id pin), migration 0012
- control.models resolves a row into the launch env (API keys Fernet-encrypted
at rest, decrypted only in the control container; placeholder key when none is
stored so the subscription OAuth token never reaches a local endpoint)
- /claude/models CRUD (admin-gated writes, key never returned), spawn route +
worker + CLI (--model) pass the selection through, fail-fast on missing or
disabled backends
- dashboard: Models tab, spawn-form dropdown, model badge in the agents table
- docs/local-models.md: why bare OpenAI-compatible servers break tool calling
with Qwen-Coder, and working vLLM/LiteLLM/llama.cpp stacks
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DzDofD7gP63WpeLG8vEdZu
Skill marketplaces (SkillsMP and friends) publish an install prompt meant to
be pasted into an interactive claude, which fetches the skill's files and
places them under a skills directory. Handler has no interactive claude and
its skills are DB rows, so the Skills tab gains an "Install from a marketplace
prompt" card wired to a new skill_install command: the worker runs the pasted
prompt through a one-off headless claude in a throwaway staging directory
(sandboxed by a generated settings.json allowing fetch/clone tooling with
acceptEdits), then imports whatever <skill>/SKILL.md landed as managed rows —
reinstalling a skill updates it in place.
Headless means nobody can answer questions mid-install, so the wrapper prompt
front-loads the answers a human would give: install into the staging dir,
always user scope (Handler distributes skills to workers itself), pick the
instructions' defaults, never stop to ask, and end with a report of the
choices made — surfaced in the command result for after-the-fact review, with
the imported skill editable/disableable in the UI.
Multi-file skills survive the import: a new claude_skill_files table
(migration 0011, alongside the command-type constraint change) captures
auxiliary files (references/, scripts/, ...), the launch-time sync rebuilds
each managed skill dir from them, and skill cards list what a skill ships
with. The one-off run's timeout defaults under worker_stale_after so a slow
install can't get the worker's live runs falsely reaped.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019f42XmjtVsc3zQ9Dhn6DqZ
The dashboard's Claude page now manages the whole Claude Code install agents
run on, not just the account login:
- Skills: operator-authored SKILL.md rows, synced to each worker's user-level
~/.claude/skills at every launch. Managed dirs carry a .handler-managed
marker so deletions in the UI propagate while hand-installed skills survive.
- Connectors: MCP servers (stdio/http/sse) written per-launch as
.claude/mcp-servers.json and passed to claude via --mcp-config, so nothing
lands in the managed repo's tracked tree.
- Plugins: marketplace-pinned plugins folded into generated settings as
extraKnownMarketplaces + enabledPlugins, installing on boot of headless runs.
- Permissions: defaultMode override plus allow/deny/ask rules merged over the
env baseline into every generated settings.json.
All of it is plain DB state (new claude_skills / claude_connectors /
claude_plugins / claude_config tables, migration 0010) edited through the new
admin-gated /claude/* API routes and applied by the control container at spawn
and resume — changes reach the next launch of every agent with no redeploy.
The login flow moved into the page's Account tab unchanged; /login redirects
to /claude for old bookmarks.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019f42XmjtVsc3zQ9Dhn6DqZ
Claude