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hyperhive/hive-agent
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Filename Latest commit message Latest commit date
atlas d723fac0be swarm: show each agent's effective model and effort, and where they came from 
Each agent now reports the model and effort it runs on, and where each
comes from (`swarm`, `agent_nix`, `local_file` or `default`), in its
turn-state header on `$SWARM.agent-state.<agent>`: `effort`,
`model_source` and `effort_source` join `model`. The shared
`swarm_queue_client::agent_inference::{Effective, Source}` types spell
those fields for both ends.

The Bus keeps a source next to the model and effort. `Bus::new` takes it
from the local fallback chain (`harness_state::local_model` /
`local_effort`, which now return the source with the value), a `/model`
or `/effort` pick sets `local_file`, and the swarm poller sets `swarm`
or, on a clear, the local chain's source. A swarm value equal to the one
the agent already runs is now applied once, so the source moves to
`swarm` and the header is republished; before, `next()` skipped it as
unchanged.

swarm-controller subscribes to every agent's header with the reader
grant it already holds for the state relay, and keeps the latest
inference fields per agent in memory (`inference::Reported`).
`GET /api/agents/{name}/inference` now answers
`{configured, effective}`, `effective` being `null` until the agent's
first header with these fields since the controller started.
`swarmctl agent inference get` prints both; `set` reads `configured`.

Refs #5034
2026-10-10 17:37:23 +02:00
..
prompts hive-c0re: remove the approvals subsystem 2026-10-04 23:55:32 +02:00
src swarm: show each agent's effective model and effort, and where they came from 2026-10-10 17:37:23 +02:00
Cargo.toml swarm: per-agent inference settings (model, effort, subagent_models) in KV 2026-10-09 23:13:13 +02:00
README.md docs(turn-loop): facts + structure pass 2026-10-02 07:52:13 +02:00

README.md

hive-agent

The in-container harness serve-loop binary — one instance per agent. Long-polls the broker inbox and drives one turn per inbox message through hive-runtime, on the agent's runtime (claude --print by default, or an ACP agent). It has one role (agent); the Surface trait + AgentSurface zero-sized type tag keep the turn loop generic and testable for future roles without a parallel copy of the loop.

When to use it

You don't call into this crate from elsewhere — it's the top-level binary systemd starts per agent container. Look here when you need to understand or change: what happens between a message landing in the inbox and the agent's reply, how the harness bootstraps login/auth, how it serves the per-agent web UI, or how turn/event stats get recorded. Architecture detail lives in docs/turn-loop/; this README is just the map of the module tree.

Shape

  • main.rs — the serve loop and the Surface trait; broker calls (inbox poll, ack, send) go through hive-sock-client with hive-core-agent-sock wire types.
  • turn.rs — the turn-loop policy layer: renders the system prompt + MCP config, runs the turn through hive-runtime, classifies the outcome, and feeds the event/turn-stats sinks.
  • login.rs / login_session.rs — first-run and session-resume auth flow for the claude CLI.
  • mcp_config.rs — renders the per-turn --mcp-config / --allowedTools blob from tool groups + capabilities.
  • todos.rs / reminders.rs / todo_server.rs — the harness-local loose-ends v2 stores (sqlite-backed) and the in-agent socket server extra MCP daemons + hive-agent-mcp dial into for todo/reminder ops.
  • vacuum.rs — periodic sqlite vacuum sweep for the harness-local stores.
  • events.rs / turn_stats.rs / stats.rs — append-only event sink and per-turn telemetry recording (context usage, cost, tool favorites) under harness/.
  • prompt.rs — system-prompt renderer (persona + tool docs + environment facts).
  • web_ui/ — the per-agent dashboard (terminal pane, status, schedules) served over the built-in hive-agent web port.
  • paths.rs — canonical path resolution for state/harness dirs and the harness-local sqlite files.

Siblings: hive-agent-mcp (the MCP server this loop points the agent at every turn) and hive-runtime (the library a turn runs through). docs/turn-loop/::Harness binary shape covers all three together.