From d05ea2acd14df839f8a651bcf8b6c6f7614e6a15 Mon Sep 17 00:00:00 2001 From: Patrick Carney Date: Tue, 12 May 2026 17:14:47 -0400 Subject: [PATCH] rescue: spec extensions + avp-ollama runner package MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Additive AVP v0.1 changes to support supervisor-orchestrated execution- backend rescue (see portofcontext rescue/phase-1 PR). All changes preserve backwards compatibility with existing conformance suites. Spec (`spec/v0.1/trajectory.md`): * New event type `avp.run_rescued` (supervisor-sourced bracket; peer event in the trajectory; does not restart the span tree). * New `error_occurred.data.avp.error.code` value `execution_backend_failure` — runner-side signal that its host environment can no longer continue (distinct from agent-internal `agent_crash`). * New optional `data.avp.runner = {backend, model}` per-event field so consumers can attribute any single event to its producing runner after a swap. * New §7.2 (per-event attribution) and §7.3 (rescue pattern) — full example trajectory included. Pydantic types: * `RunRescuedEvent`, `RunRescuedData`, `RunRescuedEndpoint` (`python/avp/src/avp/types.py`) — round-trip verified. * `ErrorCode.execution_backend_failure` (`enums.py`). * Discriminated `Event` union extended; existing tests pass unchanged. New runner package `python/agents/avp-ollama/`: * Minimal-scope AVP runner backed by local Ollama. Emits a conforming AVP trajectory (prelude → multi-turn → cost/stopped) and honors `RESCUE_FAIL_AT={now|turn:N|prob:p}` failure injection used by the rescue smoke. README documents scope (single chat loop, no tools, no managed assets — rescue demo only). * `OLLAMA_FORCE_TURNS=N` makes the runner chain `N` turns with a synthetic user-continuation between them, so `RESCUE_FAIL_AT=turn:2` fires from the realistic "before turn N starts" path rather than the short-prompt fall-through. * `AVP_RUNNER_BACKEND` env var stamps the correct identity onto `avp.runner.backend` in every emitted event — needed when the supervisor registers the runner under a non-default identity (e.g. `local-ollama-2`). * FastAPI dispatch endpoint mirroring `worker/modal_app.py::spawn_endpoint` so the supervisor's `LocalOllamaBackend` can drive either backend without caring which is on the other end. * On startup the runner queries the supervisor's events for the run; if events already exist it's a rescued continuation — skip the prelude, start at `next_seq`, inherit the original `agent_started` span ids so the span tree stays continuous per §7.3. Workspace plumbing: * `python/pyproject.toml` workspace members + sources updated. * `python/uv.lock` regenerated. Stacks on top of the avp-openai-agent PR. Co-Authored-By: Claude Opus 4.7 (1M context) --- python/agents/avp-ollama/README.md | 101 +++ python/agents/avp-ollama/pyproject.toml | 33 + .../avp-ollama/src/avp_ollama/__init__.py | 13 + .../agents/avp-ollama/src/avp_ollama/cli.py | 39 + .../avp-ollama/src/avp_ollama/runner.py | 101 +++ .../src/avp_ollama/supervisor_client.py | 77 ++ .../avp-ollama/src/avp_ollama/translator.py | 562 +++++++++++++ .../avp-ollama/tests/test_rescue_fail_at.py | 67 ++ python/avp/src/avp/enums.py | 5 + python/avp/src/avp/types.py | 42 +- python/pyproject.toml | 3 + python/uv.lock | 747 ++++++++++++++++++ spec/v0.1/trajectory.md | 75 +- 13 files changed, 1863 insertions(+), 2 deletions(-) create mode 100644 python/agents/avp-ollama/README.md create mode 100644 python/agents/avp-ollama/pyproject.toml create mode 100644 python/agents/avp-ollama/src/avp_ollama/__init__.py create mode 100644 python/agents/avp-ollama/src/avp_ollama/cli.py create mode 100644 python/agents/avp-ollama/src/avp_ollama/runner.py create mode 100644 python/agents/avp-ollama/src/avp_ollama/supervisor_client.py create mode 100644 python/agents/avp-ollama/src/avp_ollama/translator.py create mode 100644 python/agents/avp-ollama/tests/test_rescue_fail_at.py diff --git a/python/agents/avp-ollama/README.md b/python/agents/avp-ollama/README.md new file mode 100644 index 0000000..49d10af --- /dev/null +++ b/python/agents/avp-ollama/README.md @@ -0,0 +1,101 @@ +# avp-ollama + +AVP v0.1 agent backed by [Ollama](https://ollama.com). + +**Scope:** intentionally minimal. This runner exists primarily to demonstrate +supervisor-orchestrated **execution-backend rescue** — see +`portofcontext/RESCUE_PLAN.md` and `spec/v0.1/trajectory.md` §7.3. It emits the +AVP prelude, drives a single (multi-turn-capable) Ollama chat loop, and +emits a conforming `agent_stopped`. + +What it does **not** do (vs. `avp-claude-agent`): + +- No tool calls. Ollama's tool-use surface is model-specific and out of scope + for the rescue demo. +- No managed-asset resolution (no `mcp_servers`, no `subagents`, no `skills`). +- No live SDK lifecycle bridging — we drive the chat loop directly. +- No streaming → fine-grained `text_emitted` events. We emit one `text_emitted` + per turn with the full assistant message. + +## Failure injection + +The runner honors a `RESCUE_FAIL_AT` env var, used by the rescue smoke test to +provoke a runner failure mid-trajectory: + +| Value | Behavior | +|---|---| +| unset | Normal run, no injected failure. | +| `now` | Fail immediately after `agent_started`. | +| `turn:N` | Fail at the start of turn N (1-indexed). If the conversation converges before reaching turn N (common for no-tools prompts that complete in one turn), the failure fires right before `agent_stopped` instead — so the demo always gets a rescue scenario. Set `OLLAMA_FORCE_TURNS=M` (M ≥ N) to make the rescue fire from the realistic "before turn N starts" path. | +| `prob:0.5` | Fail at each turn with probability 0.5. | + +## Multi-turn behavior (`OLLAMA_FORCE_TURNS`) + +Ollama's non-streaming `/api/chat` returns `done: true` after every response, +so without help the translator exits after turn 1. For demos that need an +actual multi-turn trajectory: + +| Value | Behavior | +|---|---| +| unset / `0` | Normal: exit when the model signals `done`. | +| `N` (≥1) | Run exactly N turns. Between turns the translator appends a synthetic user-role message (`OLLAMA_CONTINUATION_PROMPT`, default "Continue with the next step. Be brief.") to keep the model generating. | + +This lets `RESCUE_FAIL_AT=turn:2` fire from the realistic "fail before turn 2 +starts" code path on a genuinely multi-turn conversation, rather than the +short-prompt fall-through. + +On injected failure the runner emits: + +``` +avp.error_occurred + data["avp.error.code"] = "execution_backend_failure" + data["avp.error.message"] = +``` + +…and exits **without** emitting `agent_stopped`. The supervisor sees the +`execution_backend_failure` code and triggers a rescue +(`POST /api/runs/{run_id}/rescue` → re-dispatch on a fallback backend). + +## Dispatch surface + +`avp-ollama-runner` starts a FastAPI server on `OLLAMA_RUNNER_PORT` +(default `8081`). The supervisor's `LocalOllamaBackend` POSTs +`{run_id, environment, resolver?}` to `/` and the runner spawns a background +task to drive the run, returning `{call_id, status: "spawned"}` immediately. + +Configuration env vars: + +| Var | Purpose | Default | +|---|---|---| +| `OLLAMA_RUNNER_PORT` | FastAPI bind port | `8081` | +| `OLLAMA_HOST` | Ollama HTTP base | `http://localhost:11434` | +| `OLLAMA_MODEL_DEFAULT` | Used when the Commission `model` is empty/unknown | `llama3.2:3b` | +| `SUPERVISOR_BASE_URL` | Where events get posted | `http://localhost:5150` | +| `SUPERVISOR_PROXY_TOKEN` | Optional bearer for the supervisor | unset | +| `RESCUE_FAIL_AT` | Failure injection (see above) | unset | +| `OLLAMA_MAX_TURNS` | Safety cap | `8` | + +## Quick start + +```bash +# Terminal 1 — Ollama +ollama serve +ollama pull llama3.2:3b + +# Terminal 2 — supervisor (with rescue enabled) +SUPERVISOR_RESCUE_ENABLED=1 \ +SUPERVISOR_RESCUE_FALLBACK='local-ollama:modal-sandbox' \ +OLLAMA_DISPATCH_URL=http://localhost:8081/ \ +cargo loco start + +# Terminal 3 — the ollama runner +uv run --package avp-ollama avp-ollama-runner + +# Terminal 4 — dispatch a run that fails on turn 2 +supervisor run dispatch \ + --env demo --runner local-ollama \ + --prompt "tell me a short story" \ + ... +``` + +See `worker/smoke_test_rescue.sh` (phase 1.4) for the end-to-end demo. diff --git a/python/agents/avp-ollama/pyproject.toml b/python/agents/avp-ollama/pyproject.toml new file mode 100644 index 0000000..4bd07bf --- /dev/null +++ b/python/agents/avp-ollama/pyproject.toml @@ -0,0 +1,33 @@ +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[project] +name = "avp-ollama" +version = "0.1.0" +description = "AVP v0.1 agent backed by a local Ollama model. Minimal-scope runner used to demonstrate supervisor-orchestrated execution-backend rescue." +readme = "README.md" +license = { text = "MIT" } +requires-python = ">=3.11" +dependencies = [ + "avp>=0.1,<0.2", + "httpx>=0.27", + "fastapi[standard]>=0.115", + "uvicorn>=0.32", +] + +[project.optional-dependencies] +dev = ["pytest>=7", "ruff>=0.6"] + +[project.scripts] +avp-ollama = "avp_ollama.cli:main" +avp-ollama-runner = "avp_ollama.runner:main" + +[project.urls] +Spec = "https://github.com/portofcontext/agent-voyager-project/tree/main/spec/v0.1" + +[tool.hatch.build.targets.wheel] +packages = ["src/avp_ollama"] + +[tool.pytest.ini_options] +testpaths = ["tests"] diff --git a/python/agents/avp-ollama/src/avp_ollama/__init__.py b/python/agents/avp-ollama/src/avp_ollama/__init__.py new file mode 100644 index 0000000..4a0c414 --- /dev/null +++ b/python/agents/avp-ollama/src/avp_ollama/__init__.py @@ -0,0 +1,13 @@ +"""AVP runner backed by a local Ollama model. + +See the package README for scope. The public surface: + + - `OllamaTranslator` — drives one run end-to-end against the supervisor. + - `SupervisorEventClient` — thin HTTP client for the supervisor's event API. + - `runner.app` — FastAPI dispatcher used by `LocalOllamaBackend`. +""" + +from .supervisor_client import SupervisorEventClient +from .translator import OllamaTranslator, RescueFailAt + +__all__ = ["OllamaTranslator", "RescueFailAt", "SupervisorEventClient"] diff --git a/python/agents/avp-ollama/src/avp_ollama/cli.py b/python/agents/avp-ollama/src/avp_ollama/cli.py new file mode 100644 index 0000000..d4b91a8 --- /dev/null +++ b/python/agents/avp-ollama/src/avp_ollama/cli.py @@ -0,0 +1,39 @@ +"""`avp-ollama run ` — drive a single run synchronously without +the FastAPI dispatch layer. Useful for manual testing and local debugging. + +The supervisor must already have the Run row created; this just fetches +the config and runs the translator inline.""" + +from __future__ import annotations + +import argparse +import logging +import sys + +from .runner import _drive_run + + +def main(argv: list[str] | None = None) -> int: + parser = argparse.ArgumentParser(prog="avp-ollama") + sub = parser.add_subparsers(dest="cmd", required=True) + + p_run = sub.add_parser("run", help="Drive a run from a pre-created Run row.") + p_run.add_argument("run_id", help="The supervisor's run_id.") + p_run.add_argument( + "--verbose", "-v", action="store_true", help="Enable debug logging." + ) + + args = parser.parse_args(argv) + logging.basicConfig( + level=logging.DEBUG if args.verbose else logging.INFO, + format="%(asctime)s %(levelname)s %(name)s: %(message)s", + ) + + if args.cmd == "run": + _drive_run(args.run_id) + return 0 + return 2 + + +if __name__ == "__main__": # pragma: no cover + sys.exit(main()) diff --git a/python/agents/avp-ollama/src/avp_ollama/runner.py b/python/agents/avp-ollama/src/avp_ollama/runner.py new file mode 100644 index 0000000..5df6ac8 --- /dev/null +++ b/python/agents/avp-ollama/src/avp_ollama/runner.py @@ -0,0 +1,101 @@ +"""FastAPI dispatcher for the avp-ollama runner. + +Mirrors the shape `worker/modal_app.py::spawn_endpoint` uses, so the +supervisor's `LocalOllamaBackend` can talk to either backend without +caring which is on the other end. + +Body: `{run_id, environment?, resolver?}`. The supervisor has already +created the Run row in Postgres; this endpoint just kicks off the +`OllamaTranslator` on a background thread and returns immediately. + +Run as `avp-ollama-runner` (entry point). The Run config is fetched +from the supervisor on dispatch — the supervisor stores the +Commission alongside the row. +""" + +from __future__ import annotations + +import logging +import os +import threading +from typing import Any + +import httpx +import uvicorn +from fastapi import FastAPI, HTTPException + +from .supervisor_client import SupervisorEventClient +from .translator import OllamaTranslator, RescueFailAt + +logger = logging.getLogger(__name__) +logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(name)s: %(message)s") + +app = FastAPI(title="avp-ollama runner") + + +def _fetch_run_config(run_id: str) -> dict[str, Any]: + base = (os.environ.get("SUPERVISOR_BASE_URL") or "http://localhost:5150").rstrip("/") + headers: dict[str, str] = {} + if tok := os.environ.get("SUPERVISOR_PROXY_TOKEN"): + headers["Authorization"] = f"Bearer {tok}" + r = httpx.get(f"{base}/api/runs/{run_id}", headers=headers, timeout=30.0) + r.raise_for_status() + body = r.json() + config = body.get("config") + if not isinstance(config, dict): + raise ValueError(f"supervisor returned no config for {run_id}") + return config + + +def _drive_run(run_id: str) -> None: + """Background thread target. Fetches the run config, drives the + translator. Exceptions are logged; the supervisor will surface a + rescue-able state via the `execution_backend_failure` event the + translator emits before re-raising.""" + logger.info("driving run %s", run_id) + try: + config = _fetch_run_config(run_id) + except Exception: + logger.exception("failed to fetch run config for %s", run_id) + return + client = SupervisorEventClient() + try: + translator = OllamaTranslator(run_id=run_id, config=config, client=client) + outcome = translator.run() + logger.info("run %s finished: %s", run_id, outcome) + finally: + client.close() + + +@app.post("/") +def spawn(payload: dict[str, Any]) -> dict[str, Any]: + """Supervisor-facing dispatch webhook. Matches `LocalOllamaBackend`'s + request body.""" + run_id = payload.get("run_id") + if not isinstance(run_id, str) or not run_id: + raise HTTPException(status_code=400, detail="missing_run_id") + # Log injection-mode if set — useful when debugging a smoke test. + fail = RescueFailAt.from_env() + if fail.mode != "none": + logger.info( + "dispatch %s with RESCUE_FAIL_AT=%s (turn=%s, prob=%s)", + run_id, fail.mode, fail.turn, fail.probability, + ) + thread = threading.Thread(target=_drive_run, args=(run_id,), daemon=True) + thread.start() + return {"run_id": run_id, "call_id": run_id, "status": "spawned"} + + +@app.get("/healthz") +def healthz() -> dict[str, str]: + return {"status": "ok"} + + +def main() -> None: + port = int(os.environ.get("OLLAMA_RUNNER_PORT") or 8081) + host = os.environ.get("OLLAMA_RUNNER_HOST") or "0.0.0.0" + uvicorn.run(app, host=host, port=port, log_level="info") + + +if __name__ == "__main__": + main() diff --git a/python/agents/avp-ollama/src/avp_ollama/supervisor_client.py b/python/agents/avp-ollama/src/avp_ollama/supervisor_client.py new file mode 100644 index 0000000..17e08f5 --- /dev/null +++ b/python/agents/avp-ollama/src/avp_ollama/supervisor_client.py @@ -0,0 +1,77 @@ +"""HTTP client for the supervisor's event-append API. + +Minimal subset — `avp-ollama` only needs to POST events. State transitions +(running/completed/failed) are inferred by the supervisor from the +`agent_started` / `agent_stopped` events the translator emits. + +Synchronous httpx; the translator runs on a worker thread launched by the +FastAPI dispatcher, so async would just complicate the call chain without +buying us anything for the rescue demo.""" + +from __future__ import annotations + +import os +from typing import Any + +import httpx + + +class SupervisorEventClient: + """POSTs events to `{base_url}/api/runs/{run_id}/events`. + + Pulls `SUPERVISOR_BASE_URL` and the optional `SUPERVISOR_PROXY_TOKEN` + from env when not given explicitly.""" + + def __init__( + self, + base_url: str | None = None, + *, + token: str | None = None, + timeout: float = 30.0, + ) -> None: + self._base = ( + base_url or os.environ.get("SUPERVISOR_BASE_URL") or "http://localhost:5150" + ).rstrip("/") + headers: dict[str, str] = {} + tok = token if token is not None else os.environ.get("SUPERVISOR_PROXY_TOKEN") + if tok: + headers["Authorization"] = f"Bearer {tok}" + self._client = httpx.Client(timeout=timeout, headers=headers) + + def close(self) -> None: + self._client.close() + + def __enter__(self) -> "SupervisorEventClient": + return self + + def __exit__(self, *exc: Any) -> None: + self.close() + + def append_event(self, run_id: str, seq: int, event: dict[str, Any]) -> dict[str, Any]: + """Append one CloudEvents-shaped event. Raises `httpx.HTTPStatusError` + on non-2xx (the translator catches and logs; a failed event post + should not abort the run).""" + r = self._client.post( + f"{self._base}/api/runs/{run_id}/events", + json={"seq": seq, "event": event}, + ) + r.raise_for_status() + return r.json() + + def fetch_events(self, run_id: str) -> list[dict[str, Any]]: + """Return every event the supervisor has for `run_id`, in + seq order. Used by the translator to discover the next free + seq on startup (which is non-zero when this run was rescued + and is being resumed by a fresh runner).""" + r = self._client.get(f"{self._base}/api/runs/{run_id}/events") + r.raise_for_status() + body = r.json() + return body if isinstance(body, list) else [] + + def next_seq(self, run_id: str) -> int: + """Return `max(seq) + 1` over the run's existing events. + Zero for a fresh dispatch with no prior events.""" + events = self.fetch_events(run_id) + if not events: + return 0 + return max(int(e.get("seq", 0)) for e in events) + 1 diff --git a/python/agents/avp-ollama/src/avp_ollama/translator.py b/python/agents/avp-ollama/src/avp_ollama/translator.py new file mode 100644 index 0000000..ebe0928 --- /dev/null +++ b/python/agents/avp-ollama/src/avp_ollama/translator.py @@ -0,0 +1,562 @@ +"""OllamaTranslator — drives one AVP run against Ollama, emits a +conforming trajectory to the supervisor. + +Scope (see package README): single chat loop, no tool use, no managed +assets. Honors `RESCUE_FAIL_AT` for the rescue demo. +""" + +from __future__ import annotations + +import logging +import os +import random +import secrets +import time +import uuid +from dataclasses import dataclass, field +from datetime import datetime, timezone +from typing import Any + +import httpx + +from .supervisor_client import SupervisorEventClient + +logger = logging.getLogger(__name__) + +# AVP event-type constants, mirroring `avp.types`. We hand-roll the +# CloudEvents envelopes here to avoid a hard dep on the full `avp` +# package's pydantic models at runtime; the supervisor + the AVP test +# suite are the canonical validators. +_T_RUN_REQUESTED = "avp.run_requested" +_T_AGENT_DESCRIBED = "avp.agent_described" +_T_AGENT_STARTED = "avp.agent_started" +_T_AGENT_STOPPED = "avp.agent_stopped" +_T_MODEL_TURN_STARTED = "avp.model_turn_started" +_T_MODEL_TURN_ENDED = "avp.model_turn_ended" +_T_TEXT_EMITTED = "avp.text_emitted" +_T_COST_RECORDED = "avp.cost_recorded" +_T_ERROR_OCCURRED = "avp.error_occurred" + +_SOURCE_AGENT = "avp://agent" +_SOURCE_SUPERVISOR = "avp://supervisor" + +# Default backend identity stamped onto `avp.runner` in every emitted +# event. Override via `AVP_RUNNER_BACKEND` env var when launching the +# runner — e.g., the rescue demo's secondary runner sets +# `AVP_RUNNER_BACKEND=local-ollama-2` so its events attribute correctly. +_DEFAULT_BACKEND_IDENTITY = "local-ollama" +_AGENT_NAME = "avp-ollama" +_AGENT_VERSION = "0.1.0" +_AVP_SPEC_VERSION = "0.1" +_ZERO_SPAN = "0" * 16 +_ZERO_TRACE = "0" * 32 + + +def _now_iso() -> str: + return datetime.now(timezone.utc).isoformat().replace("+00:00", "Z") + + +def _new_event_id() -> str: + return str(uuid.uuid4()) + + +def _new_trace_id() -> str: + return secrets.token_hex(16) + + +def _new_span_id() -> str: + return secrets.token_hex(8) + + +@dataclass +class RescueFailAt: + """Parsed `RESCUE_FAIL_AT` directive. See package README for the env + spec. `none` means no injected failure.""" + + mode: str = "none" # one of: "none", "now", "turn", "prob" + turn: int = 0 + probability: float = 0.0 + + @classmethod + def from_env(cls, raw: str | None = None) -> "RescueFailAt": + if raw is None: + raw = os.environ.get("RESCUE_FAIL_AT") + if not raw: + return cls() + raw = raw.strip().lower() + if raw == "now": + return cls(mode="now") + if raw.startswith("turn:"): + try: + n = int(raw.split(":", 1)[1]) + if n >= 1: + return cls(mode="turn", turn=n) + except ValueError: + pass + if raw.startswith("prob:"): + try: + p = float(raw.split(":", 1)[1]) + if 0.0 <= p <= 1.0: + return cls(mode="prob", probability=p) + except ValueError: + pass + logger.warning("RESCUE_FAIL_AT=%r unrecognized; ignoring", raw) + return cls() + + def fire_before_turn(self, turn_index: int) -> bool: + """Returns True iff a failure should be injected before turn N + (1-indexed). `now` mode is handled separately (pre-turn-loop).""" + if self.mode == "turn": + return turn_index == self.turn + if self.mode == "prob": + return random.random() < self.probability + return False + + +@dataclass +class _RunState: + run_id: str + seq: int = 0 + trace_id: str = field(default_factory=_new_trace_id) + agent_span_id: str = field(default_factory=_new_span_id) + total_turns: int = 0 + total_tokens: int = 0 + started_at: float = field(default_factory=time.time) + + +class _InjectedFailure(Exception): + """Sentinel raised by the translator when `RESCUE_FAIL_AT` fires.""" + + +class OllamaTranslator: + """One translator per run. Stateful: tracks seq, span ids, + accumulated cost/tokens.""" + + def __init__( + self, + run_id: str, + config: dict[str, Any], + *, + client: SupervisorEventClient | None = None, + ollama_host: str | None = None, + model_default: str | None = None, + max_turns: int | None = None, + force_turns: int | None = None, + continuation_prompt: str | None = None, + rescue_fail_at: RescueFailAt | None = None, + ) -> None: + self.run_id = run_id + self.config = config + self.client = client or SupervisorEventClient() + self.ollama_host = ( + ollama_host or os.environ.get("OLLAMA_HOST") or "http://localhost:11434" + ).rstrip("/") + self.model = ( + config.get("model") + or model_default + or os.environ.get("OLLAMA_MODEL_DEFAULT") + or "llama3.2:3b" + ) + self.max_turns = int(max_turns or os.environ.get("OLLAMA_MAX_TURNS") or 8) + # When set (>0), drive the conversation for exactly this many + # turns regardless of whether Ollama signaled `done`. Between + # turns the translator appends a synthetic user-role + # continuation message to keep the model generating. This is + # what makes RESCUE_FAIL_AT=turn:N fire on a *real* turn-N + # boundary instead of the short-prompt fall-through. + # `0` / unset = original behavior (exit when model is done). + env_force = os.environ.get("OLLAMA_FORCE_TURNS") + self.force_turns = int(force_turns if force_turns is not None else (env_force or 0)) + self.continuation_prompt = ( + continuation_prompt + or os.environ.get("OLLAMA_CONTINUATION_PROMPT") + or "Continue with the next step. Be brief." + ) + self.backend_identity = ( + os.environ.get("AVP_RUNNER_BACKEND") or _DEFAULT_BACKEND_IDENTITY + ) + self.rescue_fail_at = rescue_fail_at or RescueFailAt.from_env() + self.state = _RunState(run_id=run_id) + self._http = httpx.Client(timeout=120.0) + + # ── public driver ──────────────────────────────────────────────────── + + def run(self) -> str: + """Drive the run to completion (or injected failure). Returns the + terminal reason (`converged`, `error`) or `execution_backend_failure` + when the rescue path was triggered.""" + try: + # Discover where to start emitting. When a run was rescued + # from another backend, the supervisor already has the + # original prelude + the avp.run_rescued bracket persisted. + # Picking next_seq from the supervisor avoids seq-collision + # 409s on every event we'd otherwise emit at seq=0..N. + try: + start_seq = self.client.next_seq(self.run_id) + except httpx.HTTPError as e: + logger.warning("next_seq lookup failed (%s); starting at 0", e) + start_seq = 0 + self.state.seq = start_seq + is_rescued = start_seq > 0 + if is_rescued: + logger.info( + "rescued continuation: starting at seq=%d (skipping prelude)", + start_seq, + ) + # Inherit the original `agent_started` span_id from the + # prior runner so the span tree stays continuous per + # AVP §7.3. Best-effort — if the lookup fails, we fall + # back to a fresh span; the bracket event still makes + # the swap observable. + self._inherit_agent_span() + else: + self._emit_prelude() + if self.rescue_fail_at.mode == "now": + self._inject_failure("RESCUE_FAIL_AT=now: failing after prelude") + messages = self._initial_messages() + last_turn = 0 + # When force_turns is set, run exactly that many turns + # ignoring Ollama's `done` flag (and inject a continuation + # user-message between turns to keep the model generating). + # Otherwise run up to max_turns, exiting on `done` as + # normal. + turn_ceiling = ( + self.force_turns if self.force_turns > 0 else self.max_turns + ) + for turn_index in range(1, turn_ceiling + 1): + if self.rescue_fail_at.fire_before_turn(turn_index): + self._inject_failure( + f"RESCUE_FAIL_AT={self.rescue_fail_at.mode}: failing before turn {turn_index}" + ) + done, assistant = self._run_turn(turn_index, messages) + last_turn = turn_index + if assistant: + messages.append({"role": "assistant", "content": assistant}) + if self.force_turns > 0: + # Keep the chat going: prompt the model to continue. + # Only inject the continuation if we have more turns + # to go, to avoid a dangling user message after the + # last assistant reply. + if turn_index < turn_ceiling: + messages.append( + {"role": "user", "content": self.continuation_prompt} + ) + elif done: + break + + # The loop ended. If RESCUE_FAIL_AT=turn:N specified a turn + # we never reached (typical with short prompts and + # force_turns unset), fire the failure here instead of + # silently finishing — so RESCUE_FAIL_AT acts as a + # demo-wants-a-failure directive even in the + # converge-on-turn-1 case. + if ( + self.rescue_fail_at.mode == "turn" + and self.rescue_fail_at.turn > last_turn + ): + self._inject_failure( + f"RESCUE_FAIL_AT=turn:{self.rescue_fail_at.turn} but converged at turn {last_turn} " + f"— failing before agent_stopped" + ) + + self._emit_agent_stopped("converged") + return "converged" + except _InjectedFailure: + return "execution_backend_failure" + except Exception as exc: + logger.exception("OllamaTranslator unhandled error") + self._emit_error(code="agent_crash", message=str(exc), span_id=self.state.agent_span_id) + self._emit_agent_stopped("error", message=str(exc)) + return "error" + finally: + self._http.close() + + # ── event emission ─────────────────────────────────────────────────── + + def _next_seq(self) -> int: + s = self.state.seq + self.state.seq += 1 + return s + + def _envelope( + self, + type_: str, + data: dict[str, Any], + *, + source: str = _SOURCE_AGENT, + ) -> dict[str, Any]: + return { + "specversion": "1.0", + "id": _new_event_id(), + "type": type_, + "source": source, + "subject": self.run_id, + "time": _now_iso(), + "datacontenttype": "application/json", + "data": data, + } + + def _runner_attribution(self) -> dict[str, Any]: + return {"backend": self.backend_identity, "model": self.model} + + def _post(self, event: dict[str, Any]) -> None: + seq = self._next_seq() + try: + self.client.append_event(self.run_id, seq, event) + except httpx.HTTPError as e: + logger.warning("event post failed (seq=%d, type=%s): %s", seq, event.get("type"), e) + + def _inherit_agent_span(self) -> None: + """Look up the original `agent_started` event the prior runner + emitted and copy its trace_id / span_id onto our run state so + subsequent events nest under the same agent span. Best-effort: + if the prior trajectory is unreadable or doesn't have an + `agent_started`, fall back to the freshly-generated ids + (consumers can still attribute via the `avp.runner` field and + the `avp.run_rescued` bracket).""" + try: + events = self.client.fetch_events(self.run_id) + except httpx.HTTPError as e: + logger.warning("fetch_events for span inherit failed: %s", e) + return + for row in events: + envelope = row.get("event") or {} + if envelope.get("type") != _T_AGENT_STARTED: + continue + data = envelope.get("data") or {} + trace = data.get("trace_id") + span = data.get("span_id") + if isinstance(trace, str) and isinstance(span, str): + self.state.trace_id = trace + self.state.agent_span_id = span + logger.info( + "inherited agent span (trace=%s, span=%s)", trace, span + ) + return + + def _emit_prelude(self) -> None: + # 1. run_requested (supervisor-attributed, agent-relayed) + commission_supervisor = self.config.get("supervisor") or {} + sup_name = commission_supervisor.get("name") if isinstance(commission_supervisor, dict) else None + sup_version = ( + commission_supervisor.get("version") if isinstance(commission_supervisor, dict) else None + ) + self._post( + self._envelope( + _T_RUN_REQUESTED, + { + "trace_id": self.state.trace_id, + "span_id": _new_span_id(), + "parent_span_id": _ZERO_SPAN, + "avp.commission": self.config, + "avp.supervisor.name": sup_name or "unknown", + **({"avp.supervisor.version": sup_version} if sup_version else {}), + }, + source=_SOURCE_SUPERVISOR, + ) + ) + + # 2. agent_described + descriptor = { + "name": _AGENT_NAME, + "version": _AGENT_VERSION, + "avp_spec_version": _AVP_SPEC_VERSION, + "model": self.model, + "ollama_host": self.ollama_host, + "tools": [], + "subagents": [], + "skills": [], + } + self._post( + self._envelope( + _T_AGENT_DESCRIBED, + { + "trace_id": self.state.trace_id, + "span_id": _new_span_id(), + "parent_span_id": _ZERO_SPAN, + "avp.descriptor": descriptor, + "avp.runner": self._runner_attribution(), + }, + ) + ) + + # 3. agent_started (opens the agent span) + prompt = self.config.get("prompt", "") + self._post( + self._envelope( + _T_AGENT_STARTED, + { + "trace_id": self.state.trace_id, + "span_id": self.state.agent_span_id, + "parent_span_id": _ZERO_SPAN, + "prompt": prompt, + "model": self.model, + "tools": [], + "subagents": [], + "skills": [], + "mcp_servers": [], + "avp.runner": self._runner_attribution(), + }, + ) + ) + + def _run_turn( + self, turn_index: int, messages: list[dict[str, str]] + ) -> tuple[bool, str]: + """Run one model turn. Returns `(done, assistant_text)`.""" + turn_span = _new_span_id() + self._post( + self._envelope( + _T_MODEL_TURN_STARTED, + { + "trace_id": self.state.trace_id, + "span_id": turn_span, + "parent_span_id": self.state.agent_span_id, + "turn": turn_index, + "model": self.model, + "avp.runner": self._runner_attribution(), + }, + ) + ) + + # Call Ollama. + body = {"model": self.model, "messages": messages, "stream": False} + try: + resp = self._http.post(f"{self.ollama_host}/api/chat", json=body) + resp.raise_for_status() + response = resp.json() + except httpx.HTTPError as e: + # Ollama is part of the *execution backend* (this runner's + # host environment). A transport failure to Ollama is a + # runner-environment failure, not an agent-side error. + # Signal it as `execution_backend_failure` so the supervisor + # can rescue. + self._emit_error( + code="execution_backend_failure", + message=f"ollama transport: {e}", + span_id=turn_span, + ) + raise _InjectedFailure() from e + + assistant = (response.get("message") or {}).get("content") or "" + prompt_tokens = int(response.get("prompt_eval_count") or 0) + eval_tokens = int(response.get("eval_count") or 0) + turn_tokens = prompt_tokens + eval_tokens + self.state.total_turns += 1 + self.state.total_tokens += turn_tokens + + self._post( + self._envelope( + _T_MODEL_TURN_ENDED, + { + "trace_id": self.state.trace_id, + "span_id": turn_span, + "parent_span_id": self.state.agent_span_id, + "turn": turn_index, + "model": self.model, + "gen_ai.usage.input_tokens": prompt_tokens, + "gen_ai.usage.output_tokens": eval_tokens, + "avp.runner": self._runner_attribution(), + }, + ) + ) + + if assistant: + self._post( + self._envelope( + _T_TEXT_EMITTED, + { + "trace_id": self.state.trace_id, + "span_id": _new_span_id(), + "parent_span_id": turn_span, + "text": assistant, + "avp.runner": self._runner_attribution(), + }, + ) + ) + + self._emit_cost(turn_span) + + # Heuristic: Ollama's non-streaming /api/chat returns done=true + # on the final message; we always get one assistant message per + # call so we treat each turn as "done" for the demo. A real + # multi-turn loop would feed the assistant message back and + # decide based on tool use or model-emitted stop signals. + done = bool(response.get("done", True)) + return done, assistant + + def _emit_cost(self, parent_span: str) -> None: + self._post( + self._envelope( + _T_COST_RECORDED, + { + "trace_id": self.state.trace_id, + "span_id": _new_span_id(), + "parent_span_id": parent_span, + "avp.state": { + "total_turns": self.state.total_turns, + "total_tokens": self.state.total_tokens, + "total_cost_usd": 0.0, + }, + "avp.runner": self._runner_attribution(), + }, + ) + ) + + def _emit_agent_stopped(self, reason: str, message: str | None = None) -> None: + data: dict[str, Any] = { + "trace_id": self.state.trace_id, + "span_id": self.state.agent_span_id, + "parent_span_id": _ZERO_SPAN, + "avp.reason": reason, + "avp.total_turns": self.state.total_turns, + "avp.total_tokens": self.state.total_tokens, + "avp.total_cost_usd": 0.0, + "avp.duration_ms": int((time.time() - self.state.started_at) * 1000), + "avp.state": { + "total_turns": self.state.total_turns, + "total_tokens": self.state.total_tokens, + "total_cost_usd": 0.0, + }, + "avp.runner": self._runner_attribution(), + } + if message: + data["avp.error.message"] = message + self._post(self._envelope(_T_AGENT_STOPPED, data)) + + def _emit_error(self, *, code: str, message: str, span_id: str) -> None: + self._post( + self._envelope( + _T_ERROR_OCCURRED, + { + "trace_id": self.state.trace_id, + "span_id": _new_span_id(), + "parent_span_id": span_id, + "avp.error.code": code, + "avp.error.message": message, + "avp.runner": self._runner_attribution(), + }, + ) + ) + + def _inject_failure(self, message: str) -> None: + """Emit `execution_backend_failure` and bail out. Deliberately + does **not** emit `agent_stopped` — leaves the run mid-flight so + the supervisor's rescue path takes over.""" + logger.info("RESCUE_FAIL_AT triggered: %s", message) + self._emit_error( + code="execution_backend_failure", + message=message, + span_id=self.state.agent_span_id, + ) + raise _InjectedFailure(message) + + def _initial_messages(self) -> list[dict[str, str]]: + prompt = self.config.get("prompt", "") + system = self.config.get("system_prompt") + msgs: list[dict[str, str]] = [] + if system: + msgs.append({"role": "system", "content": system}) + if prompt: + msgs.append({"role": "user", "content": prompt}) + return msgs diff --git a/python/agents/avp-ollama/tests/test_rescue_fail_at.py b/python/agents/avp-ollama/tests/test_rescue_fail_at.py new file mode 100644 index 0000000..c9ef30a --- /dev/null +++ b/python/agents/avp-ollama/tests/test_rescue_fail_at.py @@ -0,0 +1,67 @@ +from __future__ import annotations + +import os +from unittest import mock + +import pytest + +from avp_ollama.translator import RescueFailAt + + +def test_unset_returns_none_mode(): + with mock.patch.dict(os.environ, {}, clear=True): + fa = RescueFailAt.from_env() + assert fa.mode == "none" + assert fa.fire_before_turn(1) is False + assert fa.fire_before_turn(7) is False + + +def test_now_mode(): + fa = RescueFailAt.from_env("now") + assert fa.mode == "now" + # `now` is checked pre-turn-loop; per-turn predicate stays false. + assert fa.fire_before_turn(1) is False + + +def test_turn_mode_fires_only_on_match(): + fa = RescueFailAt.from_env("turn:2") + assert fa.mode == "turn" + assert fa.turn == 2 + assert fa.fire_before_turn(1) is False + assert fa.fire_before_turn(2) is True + assert fa.fire_before_turn(3) is False + + +def test_turn_mode_invalid_value_falls_back_to_none(caplog): + fa = RescueFailAt.from_env("turn:not-a-number") + assert fa.mode == "none" + + +def test_prob_mode_zero_never_fires(): + fa = RescueFailAt.from_env("prob:0.0") + assert fa.mode == "prob" + for n in range(1, 50): + assert fa.fire_before_turn(n) is False + + +def test_prob_mode_one_always_fires(): + fa = RescueFailAt.from_env("prob:1.0") + assert fa.mode == "prob" + for n in range(1, 50): + assert fa.fire_before_turn(n) is True + + +def test_prob_mode_clamps_out_of_range_to_none(): + fa = RescueFailAt.from_env("prob:1.5") + assert fa.mode == "none" + + +def test_unrecognized_mode_warns_and_disables(caplog): + fa = RescueFailAt.from_env("on-tuesday") + assert fa.mode == "none" + + +@pytest.mark.parametrize("raw", ["NOW", "Turn:2", " prob:0.5 "]) +def test_parsing_tolerates_case_and_whitespace(raw): + fa = RescueFailAt.from_env(raw) + assert fa.mode != "none" diff --git a/python/avp/src/avp/enums.py b/python/avp/src/avp/enums.py index 7332934..24bfc23 100644 --- a/python/avp/src/avp/enums.py +++ b/python/avp/src/avp/enums.py @@ -33,4 +33,9 @@ class ErrorCode(StrEnum): # Commission-managed-asset / resolver-protocol error codes (v0.1). resolver_not_configured = "resolver_not_configured" commission_collision = "commission_collision" + # Runner determined its host execution environment can no longer + # continue. Signal to the supervisor that the run is a rescue + # candidate (see trajectory.md §7.3). Distinct from `agent_crash`, + # which is an agent-internal failure. + execution_backend_failure = "execution_backend_failure" unknown = "unknown" diff --git a/python/avp/src/avp/types.py b/python/avp/src/avp/types.py index f340323..cbdcb06 100644 --- a/python/avp/src/avp/types.py +++ b/python/avp/src/avp/types.py @@ -110,6 +110,9 @@ def new_span_id() -> str: T_SUBAGENT_FAILED = "avp.subagent_failed" T_MANAGED_REF_RESOLVED = "avp.managed_ref_resolved" T_MANAGED_REF_RESOLVE_FAILED = "avp.managed_ref_resolve_failed" +# Supervisor-sourced bracket event marking a mid-run execution-backend +# swap (trajectory.md §7.3). Peer event; does not restart the span tree. +T_RUN_RESCUED = "avp.run_rescued" # Pydantic model_config presets. `populate_by_name=True` lets parsers accept @@ -839,6 +842,31 @@ class ManagedRefResolveFailedData(_SpanData): avp_resolve_error_code: str | None = Field(default=None, alias="avp.resolve.error.code") +class RunRescuedEndpoint(BaseModel): + """One side of an `avp.run_rescued` event — describes either the + runner the supervisor is swapping away from or the one it's + swapping to. See trajectory.md §7.3.""" + + model_config = _STRICT + backend: str = Field(min_length=1) + attempt: int = Field(ge=1) + model: str | None = Field(default=None, min_length=1) + + +class RunRescuedData(BaseModel): + """`avp.run_rescued` payload. Peer event in the trajectory inserted + by the supervisor between a failed runner's last event and the new + runner's first event. Does not restart the span tree; the new + runner continues the agent span opened by the original + `agent_started`. Same `run_id` across the swap.""" + + model_config = _STRICT + from_endpoint: RunRescuedEndpoint = Field(alias="from") + to_endpoint: RunRescuedEndpoint = Field(alias="to") + reason: str = Field(min_length=1) + last_completed_seq: int = Field(ge=0) + + # ── CloudEvents 1.0 envelope (event types) ──────────────────────────────────── # # Each event is a CloudEvent. `type` discriminates the union. `source` is the @@ -1009,6 +1037,16 @@ class ManagedRefResolveFailedEvent(_CloudEventBase): data: ManagedRefResolveFailedData +class RunRescuedEvent(_CloudEventBase): + """Supervisor-sourced peer event marking a mid-run execution-backend + swap. The second supervisor-attributed event type in v0.1 alongside + `run_requested`. See trajectory.md §7.3.""" + + type: Literal["avp.run_rescued"] = T_RUN_RESCUED + source: Literal["avp://supervisor"] = SOURCE_SUPERVISOR + data: RunRescuedData + + # ── Discriminated unions ────────────────────────────────────────────────────── @@ -1035,6 +1073,7 @@ class ManagedRefResolveFailedEvent(_CloudEventBase): McpServerDisconnectedEvent, ManagedRefResolvedEvent, ManagedRefResolveFailedEvent, + RunRescuedEvent, ) Event = Annotated[ @@ -1059,7 +1098,8 @@ class ManagedRefResolveFailedEvent(_CloudEventBase): | McpServerConnectedEvent | McpServerDisconnectedEvent | ManagedRefResolvedEvent - | ManagedRefResolveFailedEvent, + | ManagedRefResolveFailedEvent + | RunRescuedEvent, Field(discriminator="type"), ] diff --git a/python/pyproject.toml b/python/pyproject.toml index 0775b36..ea98d65 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -22,6 +22,7 @@ dependencies = [ "avp", "avp-anthropic", "avp-claude-agent", + "avp-ollama", "avp-openai-agent", "simple-supervisor-example", ] @@ -38,6 +39,7 @@ members = [ "avp", "sdks/avp-anthropic", "agents/avp-claude-agent", + "agents/avp-ollama", "agents/avp-openai-agent", "supervisors/simple-supervisor-example", ] @@ -50,6 +52,7 @@ members = [ avp = { workspace = true } avp-anthropic = { workspace = true } avp-claude-agent = { workspace = true } +avp-ollama = { workspace = true } avp-openai-agent = { workspace = true } simple-supervisor-example = { workspace = true } diff --git a/python/uv.lock b/python/uv.lock index dcfb338..006442d 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -1,17 +1,32 @@ version = 1 revision = 3 requires-python = ">=3.11" +resolution-markers = [ + "python_full_version >= '3.14'", + "python_full_version == '3.13.*'", + "python_full_version < '3.13'", +] [manifest] members = [ "avp", "avp-anthropic", "avp-claude-agent", + "avp-ollama", "avp-openai-agent", "avp-workspace", "simple-supervisor-example", ] +[[package]] +name = "annotated-doc" +version = "0.0.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4", size = 7288, upload-time = "2025-11-10T22:07:42.062Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320", size = 5303, upload-time = "2025-11-10T22:07:40.673Z" }, +] + [[package]] name = "annotated-types" version = "0.7.0" @@ -142,6 +157,34 @@ requires-dist = [ ] provides-extras = ["dev"] +[[package]] +name = "avp-ollama" +version = "0.1.0" +source = { editable = "agents/avp-ollama" } +dependencies = [ + { name = "avp" }, + { name = "fastapi", extra = ["standard"] }, + { name = "httpx" }, + { name = "uvicorn" }, +] + +[package.optional-dependencies] +dev = [ + { name = "pytest" }, + { name = "ruff" }, +] + +[package.metadata] +requires-dist = [ + { name = "avp", editable = "avp" }, + { name = "fastapi", extras = ["standard"], specifier = ">=0.115" }, + { name = "httpx", specifier = ">=0.27" }, + { name = "pytest", marker = "extra == 'dev'", specifier = ">=7" }, + { name = "ruff", marker = "extra == 'dev'", specifier = ">=0.6" }, + { name = "uvicorn", specifier = ">=0.32" }, +] +provides-extras = ["dev"] + [[package]] name = "avp-openai-agent" version = "0.1.0" @@ -174,6 +217,7 @@ dependencies = [ { name = "avp" }, { name = "avp-anthropic" }, { name = "avp-claude-agent" }, + { name = "avp-ollama" }, { name = "avp-openai-agent" }, { name = "simple-supervisor-example" }, ] @@ -189,6 +233,7 @@ requires-dist = [ { name = "avp", editable = "avp" }, { name = "avp-anthropic", editable = "sdks/avp-anthropic" }, { name = "avp-claude-agent", editable = "agents/avp-claude-agent" }, + { name = 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+ [[package]] name = "websockets" version = "16.0" diff --git a/spec/v0.1/trajectory.md b/spec/v0.1/trajectory.md index aa734f2..47faf62 100644 --- a/spec/v0.1/trajectory.md +++ b/spec/v0.1/trajectory.md @@ -242,9 +242,10 @@ All non-RPC-request event types are past-tense facts. Event `type` values are re | `avp.refusal_recorded` | `avp://agent` | Model declined the turn. Run terminates with `avp.agent_stopped.avp.reason="refused"`. | | `avp.cost_recorded` | `avp://agent` | Cumulative `RunStateSnapshot` snapshot. May carry `avp.cost.source="reported"` on the reconciliation event when the API/SDK hands back an authoritative cost total. | | `avp.skill_loaded` | `avp://agent` | SKILL.md loaded into context. | -| `avp.error_occurred` | `avp://agent` | Non-tool error. | +| `avp.error_occurred` | `avp://agent` | Non-tool error. Documented `data["avp.error.code"]` values include `commission_collision` (configuration), and `execution_backend_failure` (the runner determined its host execution environment can no longer continue; signals the supervisor that the run is a rescue candidate — see §7.3). | | `avp.mcp_server_connected` | `avp://agent` | Connection established to an MCP server (resolved from a `Commission.mcp_servers[].ref`). | | `avp.mcp_server_disconnected` | `avp://agent` | Connection to an MCP server closed. | +| `avp.run_rescued` | `avp://supervisor` | Supervisor-sourced peer event (additive to §2.1; not part of the prelude). Inserted between a failed runner's last event and the new runner's first event when the supervisor swaps execution backends mid-run. Same `run_id`; the trajectory continues. See §7.3. | Field-level definitions are in [`trajectory.schema.json`](./trajectory.schema.json) (auto-generated from the Pydantic models in `python/avp/src/avp/types.py`). @@ -252,6 +253,78 @@ Field-level definitions are in [`trajectory.schema.json`](./trajectory.schema.js `agent_stopped.data` carries `avp.total_tokens`, `avp.total_cost_usd`, `avp.total_turns`, and `avp.duration_ms` at the top level **as convenience aliases**. When non-null they MUST equal the matching field inside `avp.state` (a `RunStateSnapshot`). New consumers SHOULD read `avp.state.*`: the same shape ships on every `cost_recorded` event, so analytics code that targets `avp.state` works uniformly across the run timeline rather than special-casing the terminator. The top-level fields are scheduled for removal in v0.2. +### 7.2 Per-event runner attribution (optional) + +A trajectory MAY span multiple execution backends (see §7.3, agent rescue). To let consumers attribute any single event to the runner that produced it without scanning for the nearest bracket, every agent-sourced event MAY carry `data["avp.runner"]`: + +```json +"data": { + "avp.runner": { + "backend": "local-ollama", + "model": "llama3.2:3b" + } +} +``` + +Field semantics: + +- `backend` — stable identifier of the execution backend (matches the supervisor's `ExecutionBackend::identity`, e.g. `"modal-sandbox"`, `"local-ollama"`). +- `model` — the underlying model id used for inference on this turn (the literal string passed to the model provider). MAY differ between events in the same trajectory if a rescue swapped to a backend that uses a different model. + +The field is **optional** for backward compatibility. Runners SHOULD populate it when they know they may participate in a rescued trajectory. Consumers MUST tolerate its absence and MUST NOT rely on a single trajectory-wide value. + +A run that traverses multiple backends will produce a trajectory whose `avp.runner` value changes across the boundary. The change MUST be flanked by an `avp.run_rescued` bracket (§7.3); the bracket is the authoritative boundary marker, `avp.runner` is the per-event tag. + +### 7.3 Agent rescue (supervisor-orchestrated) + +A supervisor MAY swap a run's execution backend mid-trajectory ("agent rescue") — for example, when a local-LLM runner crashes and the supervisor continues the same `run_id` on a CASDK runner. v0.1 specifies two surfaces for this: + +**Runner-side signal.** A runner that determines its host execution environment can no longer continue (and therefore cannot legitimately emit `agent_stopped`) SHOULD emit: + +``` +avp.error_occurred + data["avp.error.code"] = "execution_backend_failure" + data["avp.error.message"] = +``` + +immediately before terminating. This is a signal to the supervisor that the run is a candidate for rescue, distinct from agent-side errors that warrant a normal `agent_stopped(reason: "error")`. A runner MAY choose to emit `agent_stopped` instead; the rescue signal is best-effort. + +**Supervisor-side bracket.** When the supervisor decides to swap backends, it appends a single `avp.run_rescued` event to the trajectory before re-dispatching: + +```json +{ + "specversion": "1.0", + "type": "avp.run_rescued", + "source": "avp://supervisor", + "data": { + "from": {"backend": "local-ollama", "attempt": 1, "model": "llama3.2:3b"}, + "to": {"backend": "modal-sandbox", "attempt": 2, "model": "claude-sonnet-4-5"}, + "reason": "execution_backend_failure: ollama: connection refused", + "last_completed_seq": 17 + } +} +``` + +- `source: "avp://supervisor"` (the second supervisor-sourced event type alongside `run_requested`). +- The bracket does **not** restart the span tree. The new runner inherits the agent span opened by the original `agent_started`. +- The new runner SHOULD read the prior events as read-only context (deterministic replay of completed turns is the v0.1 contract; see §1.1 for the deferred warm-rescue / `Commission.resume` extensions). +- Cost / token totals accumulate across the swap — one `run_id`, one `RunStateSnapshot` lineage. + +The final terminator (`agent_stopped`) MUST come from whichever runner finishes the run, with `source: "avp://agent"`. v0.1 has no separate `agent_stopped(reason: "rescued")` — rescue is a mid-run event, not a termination. + +A rescued trajectory therefore looks like: + +``` +avp.run_requested (avp://supervisor) +avp.agent_described (avp://agent, runner A) +avp.agent_started (avp://agent, runner A) +… (runner A events, data.avp.runner = {backend: A, model: ...}) +avp.error_occurred (avp://agent, runner A, avp.error.code = "execution_backend_failure") +avp.run_rescued (avp://supervisor) +… (runner B events, data.avp.runner = {backend: B, model: ...}) +avp.agent_stopped (avp://agent, runner B) +``` + --- ## 8. Conformance