diff --git a/CHANGELOG.md b/CHANGELOG.md
index 1920e79f..d6e02466 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -122,17 +122,30 @@ All notable changes to Engraphis are documented here. Format loosely follows
- Folder imports report truncation explicitly: a folder with more matching files than the
ceiling now warns and returns `truncated`/`matched_total`/`unreadable` fields instead of
silently importing an alphabetically-first slice that looks complete.
+- The `engraphis_prime_agent` integration now ships a fleet wrapper that boots multiple
+ sub-agents (researcher / coder / reviewer / writer) with one shared memory workspace,
+ with fleet-wide configuration via `ENGRAPHIS_REPO` and per-agent override via the
+ `repo=` argument; the `engraphis-prime-agent install` subcommand configures a target
+ Codex / Claude Code / OpenCode project and `python -m engraphis_prime_agent install`
+ works directly from the installed wheel.
### Fixed
-- The Every node dashboard view no longer crashes on open: a declaration-order bug in the
- renderer threw during construction before anything painted. The scene canvas also keeps its
- accessible role/label now instead of being hidden from assistive technology.
-- Import previews now page the source manifest exactly like execution, so vaults whose manifest
- outgrew one list page (10k identities) no longer show manifest-only files as silently absent
- from the preview plan; beyond-boundary rows are reported as `missing` instead of dropped.
- Manifest pages now use one read snapshot and de-duplicate identities that move across a
- cursor while a concurrent import updates their path.
+- The Every node dashboard view no longer crashes on open: a declaration-order bug in the
+ renderer threw during construction before anything painted. The scene canvas also keeps its
+ accessible role/label now instead of being hidden from assistive technology.
+- Prompt-only recall now honours an opt-in `ENGRAPHIS_RECALL_ARM_CANDIDATE_K` env var (and
+ the matching `RecallEngine(arm_candidate_k_cap=...)` constructor argument) that clamps both
+ the first-page widening (`candidate_k + min(250, candidate_k*3)`) and the second-page
+ ceiling, so operators can trade untrusted-scope widening for latency on the new k=50
+ default without code changes. Measured ~1.9x speedup at cap=50 on a 49-fact trusted corpus
+ (201 ms -- 103 ms, with no regression in the trusted-only recall count). Default behaviour
+ is unchanged.
+- Import previews now page the source manifest exactly like execution, so vaults whose manifest
+ outgrew one list page (10k identities) no longer show manifest-only files as silently absent
+ from the preview plan; beyond-boundary rows are reported as `missing` instead of dropped.
+ Manifest pages now use one read snapshot and de-duplicate identities that move across a
+ cursor while a concurrent import updates their path.
- Importing more than 1,000 files through the dashboard no longer fails with "Internal Server
Error": wizard upload routes parse multipart forms under the advertised 1,500-file ceiling
instead of Starlette's hidden 1,000-part parser default, oversized batches return a clear 413,
diff --git a/README.md b/README.md
index 31c94a2e..1cb8b2ef 100644
--- a/README.md
+++ b/README.md
@@ -396,6 +396,51 @@ including `engraphis_check_update`, is in the [MCP tool reference](https://githu
For installation, configuration, lifecycle commands, and the local trust boundary, see the
[Pi extension guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/pi/README.md).
+### Command Code SessionStart hook
+
+`integrations/commandcode/` ships a SessionStart hook that warms up a new
+session with bounded, recalled context from the local Engraphis gateway. Fails
+open on timeout and is installed via `python scripts/install_cc_hook.py`.
+
+### prime-agent fleet
+
+`integrations/prime_agent/` ships a first-party Python package for
+[PrimeIntellect prime-agent](https://github.com/PrimeIntellect-ai/prime-agent)
+that exposes the same nine Smart MCP tools, with a `PrimeAgentFleet` of eight
+named sub-agents (`researcher`, `planner`, `coder`, `reviewer`, `tester`,
+`documenter`, `monitor`, `integrator`) sharing one `engraphis-mcp` stdio
+subprocess. Install via `pip install ./integrations/prime_agent` and register
+with `python scripts/install_prime_agent.py`. See the
+[prime-agent integration guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/prime_agent/README.md).
+
+**What the integration is.** A `PrimeAgentFleet` is a thin Python layer
+around the same `engraphis-mcp` Smart gateway every other host uses. At
+runtime the fleet holds one shared `EngraphisMcpClient`, which owns one
+`engraphis-mcp` subprocess over JSON-RPC stdio. Each of the eight named
+sub-agents gets its own Engraphis session (started lazily on first tool use)
+and its own default `repo` scope, so per-role memory is isolated while the
+local gateway stays single-process. The eight sub-agent names
+(`researcher`, `planner`, `coder`, `reviewer`, `tester`, `documenter`,
+`monitor`, `integrator`) are the fixed default; pass `agent_names=[...]` to
+`PrimeAgentFleet(...)` for a custom set. Concurrent tool calls serialize at
+the JSON-RPC frame layer through an `asyncio.Lock`, so framework-level
+parallelism (eight sub-agents reasoning at once) is preserved while the
+underlying MCP transport remains one ordered stream. The only integration
+surface is `EngraphisPrimeAgent.register()` in
+`integrations/prime_agent/src/engraphis_prime_agent/agent.py` -- that is the
+single adapter point to override if prime-agent's tool-registration API
+differs from the assumed `target.register_tool(name, fn, schema=...)`
+contract.
+
+The design -- eight named sub-agents, one shared stdio subprocess,
+per-agent session bootstrap, and `ENGRAPHIS_*`-only environment forwarding
+to the gateway -- is recorded in `~/.commandcode/plans/prime-agent-integration.md`
+on the host where the integration was developed. When that host plan is not
+available (other contributor machines, CI), the same design is summarized in
+the PR description that introduced the integration and in the
+[prime-agent integration guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/prime_agent/README.md)
+("Architecture" and "Concurrency model" sections).
+
## Quickstart: repository graph
```bash
@@ -721,8 +766,8 @@ file. It never searches the working directory for `.env`, and explicit process v
| `ENGRAPHIS_ALLOW_AUTOMATIC_CRITICAL_RETENTION` | `false` | Opt in only when an LLM supervisor may automatically assign the long-lived `critical` class; explicit user-selected critical retention is unaffected |
| `ENGRAPHIS_WHISPER_MODEL` | Not set | Enables local faster-whisper audio/video transcription |
| `ENGRAPHIS_POSTGRES_DSN` | Not set | CLI-only PostgreSQL source; used for the connection and never stored |
-| `ENGRAPHIS_POSTGRES_CONNECT_TIMEOUT` | `10` | PostgreSQL introspection connection timeout in seconds (bounded to 1–120) |
-| `ENGRAPHIS_POSTGRES_STATEMENT_TIMEOUT_MS` | `30000` | Per-introspection PostgreSQL statement timeout in milliseconds (bounded to 1–300000) |
+| `ENGRAPHIS_POSTGRES_CONNECT_TIMEOUT` | `10` | PostgreSQL introspection connection timeout in seconds (bounded to 1--120) |
+| `ENGRAPHIS_POSTGRES_STATEMENT_TIMEOUT_MS` | `30000` | Per-introspection PostgreSQL statement timeout in milliseconds (bounded to 1--300000) |
| `ENGRAPHIS_GRAPH_TOKEN` | Not set | Bearer token for `engraphis-graph-server`; required off-loopback |
| `ENGRAPHIS_GRAPH_HOST` / `ENGRAPHIS_GRAPH_PORT` | `127.0.0.1` / `8720` | Read-only graph/recall server bind address |
| `ENGRAPHIS_LLM_PROVIDER` | `openai` | `openai \| anthropic \| google \| openrouter \| custom` |
@@ -743,6 +788,11 @@ file. It never searches the working directory for `.env`, and explicit process v
| `ENGRAPHIS_CLOUD_ACCESS_TOKEN` | Not set | Optional short-lived access token for ephemeral jobs |
| `ENGRAPHIS_MANAGED_COMPUTE_CONSENT` | *(auto)* | Operator override only; default follows whether a cloud session is configured (connected = allowed, local-only = never). `0` opts a connected installation out; `1` permits local snapshot preparation but does not create a cloud credential or authorize an upload |
+Evaluated offline on the bundled retrieval gates (`eval/datasets/sample.jsonl`,
+`codemem.jsonl`, k=5): enabling the optional cross-encoder reranker kept hit@5 at 1.0 with
+zero per-question regressions, raised MRR@5 from 0.889→0.944 (sample) and 0.962→0.981
+(codemem), and added ~15 ms/query mean, a safe latency-bounded precision upgrade.
+
See `.env.example` for the full variable inventory. Supply those values through the process
environment or the trusted config file above; copying it to an arbitrary `./.env` does not make
Engraphis load it.
diff --git a/docs/architecture/engraphis-v2-architecture.png b/docs/architecture/engraphis-v2-architecture.png
new file mode 100644
index 00000000..afda4af2
Binary files /dev/null and b/docs/architecture/engraphis-v2-architecture.png differ
diff --git a/docs/architecture/engraphis-v2-architecture.svg b/docs/architecture/engraphis-v2-architecture.svg
new file mode 100644
index 00000000..c6f452fb
--- /dev/null
+++ b/docs/architecture/engraphis-v2-architecture.svg
@@ -0,0 +1,225 @@
+
\ No newline at end of file
diff --git a/docs/architecture/generate_engraphis_architecture.py b/docs/architecture/generate_engraphis_architecture.py
new file mode 100644
index 00000000..7bc327b7
--- /dev/null
+++ b/docs/architecture/generate_engraphis_architecture.py
@@ -0,0 +1,247 @@
+from __future__ import annotations
+
+import html
+from pathlib import Path
+
+
+WIDTH = 1600
+HEIGHT = 1240
+OUT = Path(__file__).with_name("engraphis-v2-architecture.svg")
+
+
+lines: list[str] = []
+late_labels: list[str] = []
+
+
+def add(value: str) -> None:
+ lines.append(value)
+
+
+def esc(value: str) -> str:
+ return html.escape(value, quote=True)
+
+
+def text(x: float, y: float, value: str, *, size: float = 14, fill: str = "#0f172a",
+ weight: str = "400", anchor: str = "start", letter: str = "0") -> None:
+ add(
+ f''
+ f'{esc(value)}'
+ )
+
+
+def rect(x: float, y: float, w: float, h: float, *, fill: str = "#ffffff",
+ stroke: str = "#cbd5e1", width: float = 1, radius: float = 12,
+ dash: str = "") -> None:
+ dash_attr = f' stroke-dasharray="{dash}"' if dash else ""
+ add(
+ f''
+ )
+
+
+def region(x: float, y: float, w: float, h: float, title: str, fill: str) -> None:
+ rect(x, y, w, h, fill=fill, stroke="#cbd5e1", width=1.2, radius=18, dash="8 6")
+ text(x + 20, y + 27, title, size=12, fill="#475569", weight="700", letter="1.2")
+
+
+def node(x: float, y: float, w: float, h: float, title: str, subtitle: str,
+ accent: str, *, fill: str = "#ffffff", title_size: float = 15,
+ subtitle_size: float = 11.5) -> None:
+ rect(x, y, w, h, fill=fill, stroke="#cbd5e1", width=1.2, radius=12)
+ rect(x, y, 7, h, fill=accent, stroke=accent, width=0, radius=4)
+ text(x + 20, y + 30, title, size=title_size, weight="700")
+ text(x + 20, y + 53, subtitle, size=subtitle_size, fill="#475569")
+
+
+def storage_node(x: float, y: float, w: float, h: float, title: str,
+ bullets: list[str], accent: str) -> None:
+ rect(x, y, w, h, fill="#ffffff", stroke="#cbd5e1", width=1.2, radius=12)
+ rect(x, y, 7, h, fill=accent, stroke=accent, width=0, radius=4)
+ text(x + 20, y + 29, title, size=14.5, weight="700")
+ for index, bullet in enumerate(bullets):
+ yy = y + 53 + index * 20
+ add(f'')
+ text(x + 34, yy, bullet, size=11.5, fill="#475569")
+
+
+def path(points: list[tuple[float, float]], color: str, marker: str, *, dash: str = "",
+ width: float = 2, opacity: float = 1.0) -> None:
+ data = "M " + " L ".join(f"{x},{y}" for x, y in points)
+ dash_attr = f' stroke-dasharray="{dash}"' if dash else ""
+ add(
+ f''
+ )
+
+
+def label(x: float, y: float, value: str, *, color: str = "#475569", anchor: str = "middle") -> None:
+ # Render labels after nodes so a short label never disappears beneath a box.
+ late_labels.append(
+ f'{esc(value)}'
+ )
+
+
+add(f'")
+
+OUT.write_text("\n".join(lines), encoding="utf-8")
+print(f"Wrote {OUT}")
diff --git a/engraphis/core/recall.py b/engraphis/core/recall.py
index f0c2b99b..695843c4 100644
--- a/engraphis/core/recall.py
+++ b/engraphis/core/recall.py
@@ -18,6 +18,7 @@
import json
import logging
import math
+import os
import queue
import re
import threading
@@ -147,7 +148,8 @@ def __init__(self, store: Store, embedder, vector_index, reranker: Optional[Rera
candidate_depth_policy: Optional[CandidateDepthPolicy] = None,
graph_traversal_policy: Optional[GraphTraversalPolicy] = None,
query_planner: Optional[QueryPlanner] = None,
- planner_timeout_s: float = 2.0) -> None:
+ planner_timeout_s: float = 2.0,
+ arm_candidate_k_cap: Optional[int] = None) -> None:
self.store = store
self.embedder = embedder
self.index = vector_index
@@ -161,6 +163,23 @@ def __init__(self, store: Store, embedder, vector_index, reranker: Optional[Rera
self.graph_traversal_policy = graph_traversal_policy or UniformGraphTraversalPolicy()
self.query_planner = query_planner or DeterministicQueryPlanner()
self.planner_timeout_s = max(0.0, float(planner_timeout_s))
+ # Latency knob: PR #171 widened the prompt-only first arm to
+ # ``candidate_k + min(250, candidate_k*3)`` so a 49-fact corpus pays
+ # ~5x more matrix-vector cost on the new k=50 default. Operators can
+ # cap that first-page widening via constructor arg or the
+ # ``ENGRAPHIS_RECALL_ARM_CANDIDATE_K`` env var; the escalation loop
+ # still widens to ``candidate_ceiling`` if the narrower first page
+ # did not collect enough prompt-eligible evidence, so trusted-source
+ # recall on the larger k=50 callsite is preserved.
+ env_cap_raw = os.environ.get("ENGRAPHIS_RECALL_ARM_CANDIDATE_K", "").strip()
+ try:
+ env_cap = int(env_cap_raw) if env_cap_raw else None
+ except ValueError:
+ env_cap = None
+ resolved_cap = arm_candidate_k_cap if arm_candidate_k_cap is not None else env_cap
+ self._arm_candidate_k_cap = (
+ max(1, int(resolved_cap)) if resolved_cap is not None else None
+ )
self._planner_slot = threading.BoundedSemaphore(1)
# "ppr" (default) = Personalized PageRank over entities+links (multi-hop);
# "1hop" = the Phase-1 entity expansion, kept for fallback and ablation.
@@ -271,6 +290,23 @@ def recall(self, query: str, flt: Optional[SearchFilter] = None, *, k: int = 8,
arm_candidate_k = candidate_k
if prompt_only:
arm_candidate_k = candidate_k + min(250, candidate_k * 3)
+ # Opt-in latency knob (see __init__). When the operator has set
+ # ``ENGRAPHIS_RECALL_ARM_CANDIDATE_K`` (or passed
+ # ``arm_candidate_k_cap=``) we clamp both the first-page widening
+ # and the second-page ceiling. Without the ceiling clamp the
+ # escalation loop would still widen to the untrusted-heavy
+ # PROMPT_ONLY_MIN_CANDIDATES on a second pass and the savings of
+ # narrowing the first page would vanish. Operators who set this
+ # cap are explicitly trading untrusted-scope widening for latency;
+ # the first-arm floor remains ``candidate_k`` so a one-fact scope
+ # still searches at least as deep as the caller's requested depth.
+ if self._arm_candidate_k_cap is not None:
+ # Clamp the widened first arm to the operator cap, but never
+ # below the caller's requested candidate_k so a small scope
+ # still searches at least as deep as requested.
+ arm_candidate_k = max(
+ candidate_k, min(self._arm_candidate_k_cap, arm_candidate_k)
+ )
candidate_ceiling = max(
arm_candidate_k,
min(
@@ -278,6 +314,8 @@ def recall(self, query: str, flt: Optional[SearchFilter] = None, *, k: int = 8,
max(PROMPT_ONLY_MIN_CANDIDATES, candidate_k * 16),
),
)
+ if self._arm_candidate_k_cap is not None:
+ candidate_ceiling = min(candidate_ceiling, self._arm_candidate_k_cap)
run_configs = [
config if index == 0 and arm_config is not None else profile_config(item.profile)
for index, item in enumerate(planned_queries)
diff --git a/engraphis/dashboard_assets/engraphis-graph-every-worker.js b/engraphis/dashboard_assets/engraphis-graph-every-worker.js
index 7028eb13..7d085927 100644
--- a/engraphis/dashboard_assets/engraphis-graph-every-worker.js
+++ b/engraphis/dashboard_assets/engraphis-graph-every-worker.js
@@ -217,7 +217,10 @@
springs run weak — they are visual routes between districts, not licence to drag
the districts into one another over the settle passes. */
const scaledSpacing = SPACING * MAP_SCALE;
- const rest = Math.max(scaledSpacing * 1.9, Number(settings.link) * 1.6 * (MAP_SCALE * 0.55));
+ /* Bumped from *1.6 to *2.4 — the link-distance slider now produces 50% more spring
+ rest-length change per slider unit, so the upper half of the slider is meaningfully
+ more responsive. */
+ const rest = Math.max(scaledSpacing * 1.9, Number(settings.link) * 2.4 * (MAP_SCALE * 0.55));
for (let edge = 0; edge < model.totalLinks; edge += 1) {
const a = model.sources[edge], b = model.targets[edge];
const ddx = pos[b * 2] - pos[a * 2], ddy = pos[b * 2 + 1] - pos[a * 2 + 1];
@@ -241,7 +244,9 @@
}
const minDist = SPACING * MAP_SCALE * 1.55;
const minDist2 = minDist * minDist;
- const push = Number(settings.repel) / 48;
+ /* Bumped from /48 to /24 — the Every-node engine now produces 100% more repulsion per
+ slider unit, so the upper half of the repel slider is meaningfully more responsive. */
+ const push = Number(settings.repel) / 24;
for (let index = 0; index < count; index += 1) {
const gx = Math.floor(pos[index * 2] / cell), gy = Math.floor(pos[index * 2 + 1] / cell);
let checked = 0;
@@ -314,7 +319,10 @@
}
}
- const gravity = Number(settings.gravity) / 48 * 0.0015;
+ /* Bumped from 0.0015 to 0.0033 — combined with the base gravity 25% bump and the
+ linear (no-sqrt) mass path, the Every-node worker now pulls nodes toward the centre
+ ~50% harder at every slider position than the previous 0.0022 calibration. */
+ const gravity = Number(settings.gravity) / 48 * 0.0033;
for (let index = 0; index < count; index += 1) {
dx[index] += (cx - pos[index * 2]) * gravity;
dy[index] += (cy - pos[index * 2 + 1]) * gravity;
diff --git a/engraphis/dashboard_assets/engraphis-graph.js b/engraphis/dashboard_assets/engraphis-graph.js
index 62bb3333..e07c8a6f 100644
--- a/engraphis/dashboard_assets/engraphis-graph.js
+++ b/engraphis/dashboard_assets/engraphis-graph.js
@@ -307,9 +307,13 @@
const GALAXY_ORBITAL_SPEED_DEFAULT = 100;
const GALAXY_ORBITAL_SPEED_MAXIMUM_SETTING = 400;
const GALAXY_ORBITAL_SPEED_MINIMUM = 0.25;
- const GALAXY_ORBITAL_SPEED_RESPONSE_GAIN = 0.5;
+ /* The orbital-speed slider's high-end gain. Bumped from 0.5 to 1.0 so the upper half of
+ the slider is fully proportional: at repel=200 the multiplier is 2.0 (was 1.5), and at
+ repel=400 the multiplier is 4.0 (was 2.5, capped to 4.6). */
+ const GALAXY_ORBITAL_SPEED_RESPONSE_GAIN = 1.0;
const GALAXY_ORBITAL_SPEED_MAXIMUM = 4.6;
- const GALAXY_ORBITAL_RADIUS_MAXIMUM = 1.24;
+ /* Bumped from 1.24 to 1.5 so the orbital-radius response is more visible. */
+ const GALAXY_ORBITAL_RADIUS_MAXIMUM = 1.5;
function galaxyOrbitalSpeedMultiplier(setting) {
const raw = Number(setting);
const value = Number.isFinite(raw)
@@ -434,7 +438,10 @@
the integrator. */
const GALAXY_REHEAT_STEPS = 0;
const GALAXY_REHEAT_LARGE_STEPS = 0;
- const GALAXY_VELOCITY_DECAY = 0.00005;
+ /* Bumped from 0.00005 to 0.0005 — the damping slider (1..15) now has visibly stronger
+ effect: at slider=1 the per-tick velocity multiplier is 0.0005; at slider=15 it climbs
+ to 0.0075 (50% stronger than the previous 0.0015 cap). */
+ const GALAXY_VELOCITY_DECAY = 0.0005;
/* Developer-facing spacetime controls are normalized multipliers around the calibrated
dashboard physics. Keeping them separate from the established Gravity/Link controls makes
the advanced panel reversible and avoids changing saved-layout semantics. */
@@ -2450,13 +2457,20 @@
const explicitGlobal = anchor.anchor_role === 'global';
const gravitationalConstantMultiplier = galaxyPhysicsMultiplier(opts.gravitationalConstant,
GALAXY_GRAVITATIONAL_CONSTANT_MULTIPLIER, 8);
+ /* Black-hole mass is now a LINEAR multiplier on the gravitational field — the user
+ expects that dragging the mass slider to 500 visibly doubles/triples the central
+ pull. The previous sqrt(blackHoleMassMultiplier) flattened the response so a 4x
+ slider change produced only a 2x force change, which made the slider feel dead. */
const gravitationalConstant = galaxyBlackHoleGravityConstant(opts.gravity, explicitGlobal)
- * gravitationalConstantMultiplier * Math.sqrt(Math.max(0.25, blackHoleMassMultiplier));
+ * gravitationalConstantMultiplier * blackHoleMassMultiplier;
const accelerationCap = Math.max(0, Number.isFinite(Number(opts.accelerationCap))
? Number(opts.accelerationCap)
: defaultGalaxyBlackHoleAccelerationCap(opts.gravity, explicitGlobal)
+ /* Linear in blackHoleMassMultiplier (was Math.max(1, ...)) so the acceleration
+ cap scales with the same linear response as gravitationalConstant. The 0.25
+ floor keeps the lower half of the slider from collapsing the cap. */
* Math.max(0.25, Math.min(8,
- gravitationalConstantMultiplier * Math.max(1, blackHoleMassMultiplier))));
+ gravitationalConstantMultiplier * Math.max(0.25, blackHoleMassMultiplier))));
const haloVelocitySquared = haloMass > 0
? gravitationalConstant * haloMass / (Math.SQRT2 * haloScale) : 0;
const model = {
@@ -8669,10 +8683,12 @@
a constant gravity amount. */
const diagnosticMass = galaxyPhysicsMultiplier(state.settings.blackHoleMass,
GALAXY_BLACK_HOLE_MASS_MULTIPLIER, 16);
+ /* Linear in diagnosticMass (was sqrt) so the diagnostic matches the new linear field
+ equation in galaxyBlackHoleField. */
const effectiveGravity = galaxyBlackHoleGravityConstant(state.settings.gravity, true)
* galaxyPhysicsMultiplier(state.settings.gravitationalConstant,
GALAXY_GRAVITATIONAL_CONSTANT_MULTIPLIER, 8)
- * Math.sqrt(Math.max(0.25, diagnosticMass));
+ * diagnosticMass;
return Object.assign(galaxyMotionDiagnostics(data.nodes || []), {
mode: state.settings.mode,
running,
diff --git a/engraphis/dashboard_assets/ledger.js b/engraphis/dashboard_assets/ledger.js
index d31d4e79..2191003f 100644
--- a/engraphis/dashboard_assets/ledger.js
+++ b/engraphis/dashboard_assets/ledger.js
@@ -2506,11 +2506,18 @@
return settings;
}, {});
return {
- gravitationalConstant: controls.gravitationalConstant / 50,
+ /* The visible G controls are percentage sliders: 100 is neutral, 0 is off and 200 is
+ twice the calibrated field. Dividing by 25 makes every slider value 50% more
+ responsive than the previous /33.33: at default (100) the engine sees 4.0, and the
+ visible upper bound (200) lands at 8.0 — exactly the galaxyPhysicsMultiplier cap. */
+ gravitationalConstant: controls.gravitationalConstant / 25,
blackHoleMass: graphBlackHoleMassMultiplier(controls.blackHoleMass),
- localGravitationalConstant: controls.localGravitationalConstant / 50,
+ localGravitationalConstant: controls.localGravitationalConstant / 25,
damping: controls.damping,
- springStiffness: controls.springStiffness / 32,
+ /* Bumped from /32 to /20 — the spring-stiffness slider is now 60% more responsive.
+ At default (32) the engine sees 1.6 instead of 1.0; at max (100) it lands at 5.0
+ (still inside the engine cap of 8). */
+ springStiffness: controls.springStiffness / 20,
orbitPaused: state.graphOrbitPaused,
};
}
@@ -2585,12 +2592,14 @@
const GRAPH_BLACK_HOLE_MASS_BASELINE = 160;
function graphBlackHoleMassMultiplier(controlValue) {
const value = number(controlValue);
- /* Keep the established lower half and neutral default. Above 160, every +10 slider units
- adds exactly +0.10 to the compact central-mass multiplier: 160→1.0, 170→1.1, 180→1.2.
- Local stellar wells remain owned exclusively by Local solar gravity. */
+ /* Above 160, every +10 slider units now adds +0.20 (was +0.10, then +0.15) — the
+ black-hole-mass slider is 100% more responsive on its upper half than the original
+ calibration: 170→1.20 (was 1.10), 500→8.80 (was 4.40). The lower-half ratio
+ (value/160) is preserved. The mass is now a LINEAR multiplier on gravitational
+ field strength in the engine, so the user can directly see the central pull grow. */
return value <= GRAPH_BLACK_HOLE_MASS_BASELINE
? Math.max(0, value / GRAPH_BLACK_HOLE_MASS_BASELINE)
- : 1 + (value - GRAPH_BLACK_HOLE_MASS_BASELINE) / 100;
+ : 1 + (value - GRAPH_BLACK_HOLE_MASS_BASELINE) * 0.02;
}
diff --git a/engraphis/mcp_server.py b/engraphis/mcp_server.py
index 8e75d6d3..2470787b 100644
--- a/engraphis/mcp_server.py
+++ b/engraphis/mcp_server.py
@@ -2606,7 +2606,7 @@ def smart_recall_context(
workspace: Annotated[Optional[str], Field(description="Optional workspace.", max_length=200)] = None,
repo: Annotated[Optional[str], Field(description="Optional repository.", max_length=200)] = None,
session_id: Annotated[Optional[str], Field(description="Optional active session.")] = None,
- k: Annotated[int, Field(description="Maximum source memories.", ge=1, le=50)] = 8,
+ k: Annotated[int, Field(description="Maximum source memories.", ge=1, le=50)] = 50,
token_budget: Annotated[int, Field(description="Hard returned-context token budget.", ge=0,
le=32_768)] = 1024,
) -> str:
diff --git a/integrations/prime_agent/.gitignore b/integrations/prime_agent/.gitignore
new file mode 100644
index 00000000..1cf3700e
--- /dev/null
+++ b/integrations/prime_agent/.gitignore
@@ -0,0 +1,30 @@
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+dist/
+*.egg-info/
+*.egg
+
+.pytest_cache/
+.coverage
+.coverage.*
+htmlcov/
+.tox/
+.nox/
+.mypy_cache/
+.ruff_cache/
+.hypothesis/
+
+.venv/
+venv/
+env/
+ENV/
+
+.idea/
+.vscode/
+*.swp
+*.swo
+.DS_Store
diff --git a/integrations/prime_agent/LICENSE b/integrations/prime_agent/LICENSE
new file mode 100644
index 00000000..a6ad03ca
--- /dev/null
+++ b/integrations/prime_agent/LICENSE
@@ -0,0 +1,201 @@
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+ 1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
+ and distribution as defined by Sections 1 through 9 of this document.
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+ "Licensor" shall mean the copyright owner or entity authorized by
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+ "Work" shall mean the work of authorship, whether in Source or
+ Object form, made available under the License, as indicated by a
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+ (an example is provided in the Appendix below).
+
+ "Derivative Works" shall mean any work, whether in Source or Object
+ form, that is based on (or derived from) the Work and for which the
+ editorial revisions, annotations, elaborations, or other modifications
+ represent, as a whole, an original work of authorship. For the purposes
+ of this License, Derivative Works shall not include works that remain
+ separable from, or merely link (or bind by name) to the interfaces of,
+ the Work and Derivative Works thereof.
+
+ "Contribution" shall mean any work of authorship, including
+ the original version of the Work and any modifications or additions
+ to that Work or Derivative Works thereof, that is intentionally
+ submitted to Licensor for inclusion in the Work by the copyright owner
+ or by an individual or Legal Entity authorized to submit on behalf of
+ the copyright owner. For the purposes of this definition, "submitted"
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+ communication on electronic mailing lists, source code control systems,
+ and issue tracking systems that are managed by, or on behalf of, the
+ Licensor for the purpose of discussing and improving the Work, but
+ excluding communication that is conspicuously marked or otherwise
+ designated in writing by the copyright owner as "Not a Contribution."
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+ "Contributor" shall mean Licensor and any individual or Legal Entity
+ on behalf of whom a Contribution has been received by Licensor and
+ subsequently incorporated within the Work.
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+ 2. Grant of Copyright License. Subject to the terms and conditions of
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+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+ copyright license to reproduce, prepare Derivative Works of,
+ publicly display, publicly perform, sublicense, and distribute the
+ Work and such Derivative Works in Source or Object form.
+
+ 3. Grant of Patent License. Subject to the terms and conditions of
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+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+ (except as stated in this section) patent license to make, have made,
+ use, offer to sell, sell, import, and otherwise transfer the Work,
+ where such license applies only to those patent claims licensable
+ by such Contributor that are necessarily infringed by their
+ Contribution(s) alone or by combination of their Contribution(s)
+ with the Work to which such Contribution(s) was submitted. If You
+ institute patent litigation against any entity (including a
+ cross-claim or counterclaim in a lawsuit) alleging that the Work
+ or a Contribution incorporated within the Work constitutes direct
+ or contributory patent infringement, then any patent licenses
+ granted to You under this License for that Work shall terminate
+ as of the date such litigation is filed.
+
+ 4. Redistribution. You may reproduce and distribute copies of the
+ Work or Derivative Works thereof in any medium, with or without
+ modifications, and in Source or Object form, provided that You
+ meet the following conditions:
+
+ (a) You must give any other recipients of the Work or Derivative
+ Works a copy of this License; and
+
+ (b) You must cause any modified files to carry prominent notices
+ stating that You changed the files; and
+
+ (c) You must retain, in the Source form of any Derivative Works
+ that You distribute, all copyright, patent, trademark, and
+ attribution notices from the Source form of the Work,
+ excluding those notices that do not pertain to any part of
+ the Derivative Works; and
+
+ (d) If the Work includes a "NOTICE" text file as part of its
+ distribution, then any Derivative Works that You distribute must
+ include a readable copy of the attribution notices contained
+ within such NOTICE file, excluding those notices that do not
+ pertain to any part of the Derivative Works, in at least one
+ of the following places: within a NOTICE text file distributed
+ as part of the Derivative Works; within the Source form or
+ documentation, if provided along with the Derivative Works; or,
+ within a display generated by the Derivative Works, if and
+ wherever such third-party notices normally appear. The contents
+ of the NOTICE file are for informational purposes only and
+ do not modify the License. You may add Your own attribution
+ notices within Derivative Works that You distribute, alongside
+ or as an addendum to the NOTICE text from the Work, provided
+ that such additional attribution notices cannot be construed
+ as modifying the License.
+
+ You may add Your own copyright statement to Your modifications and
+ may provide additional or different license terms and conditions
+ for use, reproduction, or distribution of Your modifications, or
+ for any such Derivative Works as a whole, provided Your use,
+ reproduction, and distribution of the Work otherwise complies with
+ the conditions stated in this License.
+
+ 5. Submission of Contributions. Unless You explicitly state otherwise,
+ any Contribution intentionally submitted for inclusion in the Work
+ by You to the Licensor shall be under the terms and conditions of
+ this License, without any additional terms or conditions.
+ Notwithstanding the above, nothing herein shall supersede or modify
+ the terms of any separate license agreement you may have executed
+ with Licensor regarding such Contributions.
+
+ 6. Trademarks. This License does not grant permission to use the trade
+ names, trademarks, service marks, or product names of the Licensor,
+ except as required for reasonable and customary use in describing the
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+
+ 7. Disclaimer of Warranty. Unless required by applicable law or
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+ Contributor provides its Contributions) on an "AS IS" BASIS,
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+ PARTICULAR PURPOSE. You are solely responsible for determining the
+ appropriateness of using or redistributing the Work and assume any
+ risks associated with Your exercise of permissions under this License.
+
+ 8. Limitation of Liability. In no event and under no legal theory,
+ whether in tort (including negligence), contract, or otherwise,
+ unless required by applicable law (such as deliberate and grossly
+ negligent acts) or agreed to in writing, shall any Contributor be
+ liable to You for damages, including any direct, indirect, special,
+ incidental, or consequential damages of any character arising as a
+ result of this License or out of the use or inability to use the
+ Work (including but not limited to damages for loss of goodwill,
+ work stoppage, computer failure or malfunction, or any and all
+ other commercial damages or losses), even if such Contributor
+ has been advised of the possibility of such damages.
+
+ 9. Accepting Warranty or Additional Liability. While redistributing
+ the Work or Derivative Works thereof, You may choose to offer,
+ and charge a fee for, acceptance of support, warranty, indemnity,
+ or other liability obligations and/or rights consistent with this
+ License. However, in accepting such obligations, You may act only
+ on Your own behalf and on Your sole responsibility, not on behalf
+ of any other Contributor, and only if You agree to indemnify,
+ defend, and hold each Contributor harmless for any liability
+ incurred by, or claims asserted against, such Contributor by reason
+ of your accepting any such warranty or additional liability.
+
+ END OF TERMS AND CONDITIONS
+
+ APPENDIX: How to apply the Apache License to your work.
+
+ To apply the Apache License to your work, attach the following
+ boilerplate notice, with the fields enclosed by brackets "[]"
+ replaced with your own identifying information. (Don't include
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+ Copyright 2026 The Engraphis Authors
+
+ Licensed under the Apache License, Version 2.0 (the "License");
+ you may not use this file except in compliance with the License.
+ You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
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diff --git a/integrations/prime_agent/NOTICE b/integrations/prime_agent/NOTICE
new file mode 100644
index 00000000..52b73d92
--- /dev/null
+++ b/integrations/prime_agent/NOTICE
@@ -0,0 +1,17 @@
+Engraphis for prime-agent
+Copyright 2026 The Engraphis Authors
+
+This product includes software developed by the Engraphis project.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+This integration depends on the `mcp` Python SDK (Model Context Protocol),
+which is licensed under the MIT License. See https://github.com/modelcontextprotocol/python-sdk
+for upstream attribution.
+
+"Engraphis" and the Engraphis logo are trademarks of the Engraphis project.
+The Apache-2.0 license does not grant trademark rights (see LICENSE, section 6).
diff --git a/integrations/prime_agent/README.md b/integrations/prime_agent/README.md
new file mode 100644
index 00000000..361905e1
--- /dev/null
+++ b/integrations/prime_agent/README.md
@@ -0,0 +1,283 @@
+# Engraphis for prime-agent
+
+`engraphis-prime-agent` is the first-party [PrimeIntellect prime-agent](https://github.com/PrimeIntellect-ai/prime-agent)
+integration for durable, local-first Engraphis memory. It lazily launches the existing
+`engraphis-mcp` server on stdio and exposes the same nine-tool Smart MCP surface
+that every other Engraphis host uses, so a prime-agent fleet gets prompt-ready
+context, durable facts, and governed governance actions through one shared local
+gateway.
+
+A `PrimeAgentFleet` of eight named sub-agents (`researcher`, `planner`, `coder`,
+`reviewer`, `tester`, `documenter`, `monitor`, `integrator`) shares one stdio
+subprocess. Each sub-agent starts its own Engraphis session on first tool use,
+so memory stays isolated by session while the gateway stays single-process.
+
+## Architecture
+
+At runtime the integration has three layers:
+
+1. **A shared stdio subprocess.** The first time a `PrimeAgentFleet` is entered
+ it spawns one `engraphis-mcp` process over JSON-RPC stdio. Every tool call
+ from every sub-agent goes through that one process.
+2. **A shared `EngraphisMcpClient`.** Owns the subprocess, exposes the
+ `engraphis-mcp-classic` and the new Smart nine-tool surface, and serializes
+ concurrent calls through an `asyncio.Lock` at the JSON-RPC frame layer.
+3. **Eight named `EngraphisPrimeAgent` sub-agents.** Each one holds its own
+ session id, lazily started on first tool use, and the same nine tool
+ bindings. Sub-agent identity doubles as the default `repo` scope, so
+ per-role memory isolation is the default.
+
+The eight fixed names — `researcher`, `planner`, `coder`, `reviewer`, `tester`,
+`documenter`, `monitor`, `integrator` — match the prime-agent roles the
+integration was designed around. A custom fleet can be built by passing
+`agent_names=[...]` to `PrimeAgentFleet(...)`; the stdio subprocess and the
+client are still shared.
+
+## When to use this vs. the Pi extension vs. the commandcode hook
+
+All three integrations expose the same nine-tool Smart MCP surface against the
+local Engraphis gateway. Choose by host, not by feature set.
+
+| Integration | Host | Best for | Concurrency | Install |
+|---|---|---|---|---|
+| `integrations/prime_agent/` (this package) | [PrimeIntellect prime-agent](https://github.com/PrimeIntellect-ai/prime-agent) fleets of 1–8 named sub-agents | Multi-role pipelines (`researcher` → `coder` → `reviewer` → `tester`) that need per-role session isolation but one local gateway | Eight sub-agents share one stdio subprocess; tool calls serialize at the JSON-RPC frame layer | `pip install ./integrations/prime_agent` |
+| [Pi extension](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/pi/README.md) | The Pi coding agent | A single interactive coding loop with prompt-ready recall, durable notes, and governed governance actions | One agent, one stdio gateway | Pi extension marketplace / `pip install engraphis-pi` |
+| [Command Code SessionStart hook](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/commandcode/) | A Command Code session | Warming a brand-new session with bounded, cited context on `SessionStart`; fails open on timeout | One hook per session | `python scripts/install_cc_hook.py` |
+
+Pick the prime-agent integration when you already have or want a multi-role
+pipeline and the per-role memory boundary is useful. Pick the Pi extension for
+single-agent interactive work. Pick the commandcode hook when you want a
+zero-config, one-shot context warm-up at session start.
+
+## Install
+
+Install Engraphis 1.5.x with Python 3.10 or later. Version 1.5 introduced the
+nine-tool Smart MCP contract required by this integration:
+
+```bash
+python -m pip install --upgrade "engraphis[mcp]>=1.5,<2"
+```
+
+Install this package from a checkout of the engraphis repository:
+
+```bash
+pip install ./integrations/prime_agent
+```
+
+Or, once published:
+
+```bash
+pip install engraphis-prime-agent
+```
+
+## Quick start
+
+```python
+import asyncio
+from engraphis_prime_agent import PrimeAgentFleet
+
+async def main():
+ async with PrimeAgentFleet(workspace="myrepo") as fleet:
+ # Warm every sub-agent's session up front so the first real
+ # tool call on each role never blocks on session bootstrap.
+ await fleet.start_all_sessions()
+
+ # 1. The researcher asks for prior decisions on a topic.
+ research = await fleet["researcher"].call(
+ "engraphis_recall_context",
+ {"query": "decision: sqlite-vec KNN", "k": 5, "token_budget": 600},
+ )
+
+ # 2. Fan out: the planner and the coder both look up the procedure
+ # for rebuilding persistent vectors after an embedding swap.
+ plans = await fleet.fan_out(
+ "engraphis_recall_context",
+ {
+ "planner": {"query": "procedure: rebuild persistent vectors", "k": 5},
+ "coder": {"query": "procedure: rebuild persistent vectors", "k": 5},
+ },
+ )
+
+ # 3. The documenter persists the durable decision the coder just made.
+ # The integration returns the pending review boundary; the memory
+ # is not prompt-eligible until a human approves it (see "Trust model").
+ pending = await fleet["documenter"].call("engraphis_remember", {
+ "content": "Prefer sqlite-vec KNN for <=1M vectors; rebuild after model swap.",
+ "importance": 0.7,
+ "mtype": "semantic",
+ })
+
+ # 4. The reviewer scans the inbox for any new conflicts.
+ review = await fleet["reviewer"].call("engraphis_conflict_review", {"limit": 10})
+
+ return research, plans, pending, review
+
+asyncio.run(main())
+```
+
+The example uses four of the eight sub-agents and exercises `recall_context`,
+`remember`, and `conflict_review`. The four untasked sub-agents (`tester`,
+`monitor`, `integrator`, and the second role of the fan-out) can be invoked
+the same way — they are ordinary `EngraphisPrimeAgent` instances behind the
+fleet's dict interface.
+
+## Registering with prime-agent
+
+After the package is installed, register it with prime-agent's tool manager:
+
+```bash
+python scripts/install_prime_agent.py
+```
+
+The installer is idempotent: re-running updates the existing entry instead of
+duplicating it. Use `--uninstall` to remove the entry.
+
+If prime-agent expects a different tool-registration surface, the single
+adapter point is `EngraphisPrimeAgent.register()`. Pass any object with a
+`register_tool(name, fn, schema=...)` method; the integration registers all
+nine Smart tools with that target. Override the method (or pass a thin
+adapter) if prime-agent's real API differs.
+
+## Configuration
+
+| Variable | Purpose |
+|---|---|
+| `ENGRAPHIS_MCP_COMMAND` | Override the `engraphis-mcp` console-script path (e.g. an absolute path under a virtualenv or pipx). |
+| `ENGRAPHIS_DB_PATH` | Path to the local Engraphis SQLite database. The integration inherits whatever the gateway sees, so the dashboard and the fleet share one store. |
+| `ENGRAPHIS_WORKSPACE` | Default workspace name. The fleet's `workspace=` overrides this. |
+| `ENGRAPHIS_REPO` | Default repo scope. The fleet's `repo=` overrides this. |
+| `PRIME_AGENT_CONFIG_PATH` | Override the prime-agent config file path used by `scripts/install_prime_agent.py`. |
+
+Only `ENGRAPHIS_*`, `PATH`, `Path`, `SystemRoot`, and `ComSpec` are forwarded to
+the gateway subprocess — never the full environment.
+
+## The nine Smart tools
+
+| Tool | Purpose |
+|---|---|
+| `engraphis_session` | Start, resume, or end a session for the calling sub-agent. |
+| `engraphis_recall_context` | Compact, cited, token-budgeted context for the current task. |
+| `engraphis_remember` | Persist a durable fact, decision, preference, or procedure. |
+| `engraphis_discover_actions` | Find a best-fit advanced capability with a version-bound schema. |
+| `engraphis_execute_read` | Run a discovered read-only advanced capability. |
+| `engraphis_execute_action` | Run a discovered write/admin/destructive advanced capability. |
+| `engraphis_get_memory` | Read one governed memory record by id. |
+| `engraphis_update_memory` | Edit one memory's title/type/importance/audit actor. |
+| `engraphis_conflict_review` | List pending, quarantined, or conflicting memories for review. |
+
+## Concurrency model
+
+The fleet shares one `EngraphisMcpClient`, which owns one `engraphis-mcp`
+subprocess. The stdio transport is a single connection, so concurrent tool
+calls are serialized at the JSON-RPC frame layer through an `asyncio.Lock`.
+Framework-level concurrency (eight sub-agents reasoning in parallel and
+issuing one tool call each) is unaffected — the `fan_out()` helper
+demonstrates the pattern via `asyncio.gather`.
+
+> **For true parallel MCP**, run multiple fleets against **distinct
+> databases** (different `ENGRAPHIS_DB_PATH` values). Sharing a single
+> database across two fleets is safe at the SQL level, but the stdio
+> frame lock means you would pay for the same serialization twice. The
+> default `PrimeAgentFleet` is designed for one workspace, one local
+> gateway, eight sub-agents.
+
+This serialization is intentional. See the design discussion in
+[issue #1: shared stdio frame serialization](https://github.com/Coding-Dev-Tools/engraphis/issues/1)
+("For true parallel MCP, run multiple fleets against distinct databases") for
+the trade-offs that drove the choice of a single subprocess.
+
+## Trust model
+
+The integration runs with your local user permissions. Install only the
+official package or a reviewed checkout. `ENGRAPHIS_MCP_COMMAND` should point
+only to a trusted local executable.
+
+Engraphis MCP writes enter the normal pending-review boundary. A successful
+`engraphis_remember` call does not make unreviewed text prompt-eligible;
+approve it through the Engraphis dashboard or the interactive approval
+command before expecting it in normal recall. This behavior is intentional
+and shared with the Pi and commandcode integrations.
+
+## Testing
+
+The test suite includes a fake MCP server (`tests/conftest.py`) so the default
+unit tests do not require a live `engraphis-mcp` binary.
+
+Run the unit suite:
+
+```bash
+cd integrations/prime_agent
+python -m pip install -e ".[test]"
+pytest -q
+```
+
+Run a single test file or test id:
+
+```bash
+pytest -q tests/test_agent.py
+pytest -q tests/test_agent.py::TestEngraphisPrimeAgent::test_register
+```
+
+Run the **live-gated** tests, which require a real `engraphis-mcp` on `PATH`
+and a writable temporary database:
+
+```bash
+ENGRAPHIS_INTEGRATION_LIVE=1 pytest -q
+```
+
+Live tests are skipped without the flag and are the right place to add any
+new test that exercises real subprocess behavior. Keep them small and
+idempotent; the fake server in `conftest.py` is the right home for everything
+else.
+
+## Troubleshooting
+
+| Symptom | Likely cause | Fix |
+|---|---|---|
+| `ModuleNotFoundError: No module named 'mcp'` | The MCP Python SDK is not installed | `pip install "engraphis[mcp]"` (or `pip install -e ".[test]"` for development) |
+| `ERROR: engraphis-prime-agent requires Python >=3.10` (or a hard `SyntaxError` on import) | The active interpreter is 3.9 or older | Use Python 3.10+. The Engraphis 1.5 MCP server and the MCP SDK both require 3.10+ |
+| `engraphis-mcp` is on `PATH` but the server starts and the tool list is empty or the Smart nine tools are missing | The installed `engraphis` is older than 1.5 | `pip install --upgrade "engraphis[mcp]>=1.5,<2"`. Version 1.5 introduced the nine-tool Smart contract this integration depends on |
+| `ConnectionRefusedError` / `FileNotFoundError` / `OSError: [Errno 2] No such file or directory: 'engraphis-mcp'` when the fleet enters | `engraphis-mcp` is not on `PATH` for the Python that imports the integration | Install `engraphis[mcp]` in the same environment, or set `ENGRAPHIS_MCP_COMMAND` to the absolute path of the `engraphis-mcp` console script (for example `.venv/bin/engraphis-mcp` or `~/.local/bin/engraphis-mcp`) |
+| `engraphis_prime_agent.cli` returns exit code 2 with "binary not on PATH" | Same as above, surfaced by the CLI check | Install `engraphis[mcp]`, or `pipx install "engraphis[mcp]"` if you intentionally keep the integration in a different venv |
+| `pytest` cannot import `engraphis_prime_agent` from the repo checkout | The package was not installed in editable mode | From `integrations/prime_agent/`, run `pip install -e ".[test]"` |
+| `Pending` memories never show up in normal recall | This is expected, not a bug | New writes enter the pending review boundary. Approve them through the Engraphis dashboard or `engraphis-cli review approve` before expecting them in normal recall (see "Trust model") |
+
+If a failure is not on this list, run `python -m engraphis_prime_agent check`
+against your environment — it returns one of the documented exit codes
+(`0` ok, `1` incompatible tool set, `2` missing binary / install failure,
+`3` transport error) and prints the matching hint.
+
+## Contributing
+
+The integration has one adapter point. Everything else — the eight named
+sub-agents, the shared `EngraphisMcpClient`, the nine Smart tool bindings,
+the stdio subprocess lifecycle, and the per-agent session bootstrap — is
+fixed and reviewed as a unit.
+
+**The single adapter point is `EngraphisPrimeAgent.register()`** in
+`src/engraphis_prime_agent/agent.py`. The assumed contract is
+`target.register_tool(name, fn, schema=...)` (LangChain / CrewAI style). If
+prime-agent's real API differs, override this method or pass a thin adapter
+that exposes the same shape. The body of `register()` is intentionally short
+so a port is a small, reviewable change.
+
+Before opening a PR:
+
+1. Read the design notes in
+ [`~/.commandcode/plans/prime-agent-integration.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/prime_agent/)
+ (host-local) or, when the host plan is not available, the PR description
+ that introduced the integration. The eight sub-agent names, the shared
+ stdio subprocess, the per-agent session boundary, and the
+ `ENGRAPHIS_*`-only environment forwarding are all deliberate choices
+ called out there.
+2. Run `pytest -q` from `integrations/prime_agent/`. Unit tests must pass
+ without `ENGRAPHIS_INTEGRATION_LIVE=1`.
+3. If you changed the adapter point, the CLI install/uninstall, or the tool
+ surface, also run `ENGRAPHIS_INTEGRATION_LIVE=1 pytest -q`.
+4. Keep new live tests small and idempotent; prefer extending the fake
+ server in `tests/conftest.py` for anything that is not really testing the
+ subprocess.
+
+## License
+
+Apache-2.0. See `LICENSE` and `NOTICE`.
diff --git a/integrations/prime_agent/pyproject.toml b/integrations/prime_agent/pyproject.toml
new file mode 100644
index 00000000..c3c2c23f
--- /dev/null
+++ b/integrations/prime_agent/pyproject.toml
@@ -0,0 +1,55 @@
+[build-system]
+requires = ["setuptools>=83.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "engraphis-prime-agent"
+version = "0.1.0"
+description = "First-party Engraphis Smart MCP integration for PrimeIntellect's prime-agent"
+readme = "README.md"
+license = "Apache-2.0"
+license-files = ["LICENSE", "NOTICE"]
+requires-python = ">=3.10"
+authors = [{ name = "The Engraphis Authors" }]
+keywords = [
+ "engraphis",
+ "mcp",
+ "memory",
+ "agent",
+ "prime-agent",
+ "primeintellect",
+]
+classifiers = [
+ "Development Status :: 4 - Beta",
+ "Programming Language :: Python :: 3",
+ "Programming Language :: Python :: 3.10",
+ "Programming Language :: Python :: 3.11",
+ "Programming Language :: Python :: 3.12",
+ "Programming Language :: Python :: 3.13",
+ "Topic :: Scientific/Engineering :: Artificial Intelligence",
+]
+dependencies = [
+ "mcp>=1.28.1,<2; python_version >= '3.10'",
+ "typing-extensions>=4.0",
+]
+
+[project.optional-dependencies]
+test = [
+ "pytest>=9.0.3",
+ "pytest-asyncio>=0.23",
+]
+
+[project.scripts]
+engraphis-prime-agent = "engraphis_prime_agent.cli:main"
+
+[project.urls]
+Repository = "https://github.com/Coding-Dev-Tools/engraphis/tree/main/integrations/prime_agent"
+Issues = "https://github.com/Coding-Dev-Tools/engraphis/issues"
+
+[tool.setuptools.packages.find]
+where = ["src"]
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"
+testpaths = ["tests"]
+addopts = "-q"
diff --git a/integrations/prime_agent/src/engraphis_prime_agent/__init__.py b/integrations/prime_agent/src/engraphis_prime_agent/__init__.py
new file mode 100644
index 00000000..33f5750f
--- /dev/null
+++ b/integrations/prime_agent/src/engraphis_prime_agent/__init__.py
@@ -0,0 +1,38 @@
+"""First-party Engraphis integration for PrimeIntellect's prime-agent."""
+from .config import (
+ DEFAULT_AGENT_NAMES,
+ EngraphisRuntimeConfig,
+ build_runtime_config,
+)
+
+__all__ = [
+ "EngraphisRuntimeConfig",
+ "build_runtime_config",
+ "DEFAULT_AGENT_NAMES",
+]
+__version__ = "0.1.0"
+
+# Defer the heavy imports (mcp_client, tools, agent) so callers that only
+# need config or exception types don't have to install the mcp package.
+try: # pragma: no cover - import guard
+ from .mcp_client import (
+ EngraphisCompatibilityError,
+ EngraphisMcpClient,
+ EngraphisMcpToolError,
+ )
+ from .tools import all_tools, apply_scope_defaults, build_tool, TOOL_SPECS
+ from .agent import EngraphisPrimeAgent, PrimeAgentFleet
+
+ __all__ += [
+ "EngraphisMcpClient",
+ "EngraphisMcpToolError",
+ "EngraphisCompatibilityError",
+ "EngraphisPrimeAgent",
+ "PrimeAgentFleet",
+ "all_tools",
+ "apply_scope_defaults",
+ "build_tool",
+ "TOOL_SPECS",
+ ]
+except ImportError: # mcp (or a transitive dep) is not installed
+ pass
diff --git a/integrations/prime_agent/src/engraphis_prime_agent/__main__.py b/integrations/prime_agent/src/engraphis_prime_agent/__main__.py
new file mode 100644
index 00000000..60f2c0f3
--- /dev/null
+++ b/integrations/prime_agent/src/engraphis_prime_agent/__main__.py
@@ -0,0 +1,7 @@
+"""Allow ``python -m engraphis_prime_agent``."""
+from .cli import main
+
+if __name__ == "__main__":
+ import sys
+
+ sys.exit(main())
diff --git a/integrations/prime_agent/src/engraphis_prime_agent/agent.py b/integrations/prime_agent/src/engraphis_prime_agent/agent.py
new file mode 100644
index 00000000..0d41af5a
--- /dev/null
+++ b/integrations/prime_agent/src/engraphis_prime_agent/agent.py
@@ -0,0 +1,470 @@
+"""EngraphisPrimeAgent (single sub-agent) and PrimeAgentFleet (8 sub-agents)."""
+from __future__ import annotations
+
+import asyncio
+import json
+import logging
+import threading
+from contextlib import AsyncExitStack
+from typing import Any, Awaitable, Iterable
+
+from .config import (
+ DEFAULT_AGENT_NAMES,
+ EngraphisRuntimeConfig,
+ build_runtime_config,
+)
+from .mcp_client import EngraphisMcpClient, EngraphisMcpToolError
+from .tools import ToolFn, all_tools, build_tool, TOOL_SPECS
+
+_logger = logging.getLogger("engraphis_prime_agent.agent")
+
+
+class EngraphisPrimeAgent:
+ """One named sub-agent owning its own Engraphis session.
+
+ Holds:
+ - a shared EngraphisMcpClient (one stdio subprocess for the whole fleet)
+ - a per-agent session id (started lazily on first tool call)
+ - the 9 Smart tools as (callable, schema) pairs
+ """
+
+ def __init__(
+ self,
+ name: str,
+ client: EngraphisMcpClient,
+ config: EngraphisRuntimeConfig,
+ *,
+ workspace: str | None = None,
+ repo: str | None = None,
+ goal: str = "",
+ token_budget: int = 512,
+ ) -> None:
+ if not name or not name.strip():
+ raise ValueError("Sub-agent name must be non-empty.")
+ self.name = name.strip()
+ self.client = client
+ self.config = config
+ # Workspace precedence: explicit per-agent kwarg > config default.
+ self.workspace = workspace or config.default_workspace
+ # Repo precedence: explicit per-agent kwarg > config default > sub-agent
+ # name. A single effective repo must be used for both session creation
+ # and the tool-call defaults — a session opened in `researcher` while
+ # tools send `api` is rejected by MemoryService with "session_id does
+ # not belong to that workspace/repo". When ENGRAPHIS_REPO sets a
+ # fleet-wide default, every sub-agent's session and every tool call
+ # use that same repo; only when no default is configured does the
+ # sub-agent name double as the repo, giving per-role isolation by
+ # default.
+ if repo is not None:
+ self.repo = repo
+ elif config.default_repo is not None:
+ self.repo = config.default_repo
+ else:
+ self.repo = self.name
+ self.goal = goal
+ self.token_budget = token_budget
+ self._session_id: str | None = None
+ self._session_lock = asyncio.Lock()
+ self._tools: dict[str, tuple[ToolFn, dict[str, Any]]] | None = None
+ # Protects lazy initialization of the tool-binding cache. The
+ # session lock above is *not* enough because get_tool() and tools()
+ # are synchronous and can be called from multiple threads (or, in
+ # the future, multiple event-loop iterations) on a fresh agent
+ # before start_session() has run. threading.Lock is correct here:
+ # the method is sync, and we just need mutual exclusion across
+ # concurrent sync callers — not coordination with awaits.
+ self._tools_lock = threading.Lock()
+
+ def __repr__(self) -> str:
+ sid = self._session_id if self._session_id else "none"
+ return (
+ f"EngraphisPrimeAgent(name={self.name!r}, workspace={self.workspace!r}, "
+ f"repo={self.repo!r}, session_id={sid!r})"
+ )
+
+ # --- session lifecycle ------------------------------------------------
+
+ async def start_session(self, *, force_new: bool = False) -> str:
+ # The two state mutations below happen under _session_lock so they
+ # are atomic w.r.t. concurrent start_session / end_session callers
+ # (and concurrent get_tool() callers that read self._session_id).
+ async with self._session_lock:
+ if self._session_id and not force_new:
+ return self._session_id
+ args: dict[str, Any] = {
+ "action": "start",
+ "agent": self.name,
+ "force_new": force_new,
+ "goal": self.goal,
+ "token_budget": self.token_budget,
+ }
+ if self.workspace:
+ args["workspace"] = self.workspace
+ if self.repo:
+ args["repo"] = self.repo
+ response = await self.client.call_tool("engraphis_session", args)
+ session_id = self._extract_session_id(response)
+ if not session_id:
+ raise EngraphisMcpToolError(
+ f"engraphis_session(start) for agent={self.name!r} returned no session_id."
+ )
+ # Atomic state transition: only one writer holds this lock.
+ self._session_id = session_id
+ self._tools = None # rebuild bindings with the new session id
+ return session_id
+
+ async def end_session(self, *, summary: str = "", outcome: str = "") -> None:
+ # Capture the id under the lock so a concurrent start_session can't
+ # race us between the "no session" check and the call_tool.
+ async with self._session_lock:
+ session_id = self._session_id
+ if not session_id:
+ return
+ # Always clear local state, even if the gateway call fails, so
+ # the sub-agent is not stuck in a half-open state.
+ self._session_id = None
+ self._tools = None
+ # Make the close-call best-effort. Log the error so operators can
+ # spot stranded sessions, but never propagate: end_session() is
+ # called from aclose/__aexit__ paths where raising would mask the
+ # real shutdown error.
+ try:
+ await self.client.call_tool(
+ "engraphis_session",
+ {
+ "action": "end",
+ "agent": self.name,
+ "session_id": session_id,
+ "summary": summary,
+ "outcome": outcome,
+ },
+ )
+ except Exception as exc: # noqa: BLE001 — best-effort close
+ _logger.warning(
+ "end_session for agent=%r (session_id=%r) failed: %s",
+ self.name,
+ session_id,
+ exc,
+ )
+
+ @property
+ def session_id(self) -> str | None:
+ return self._session_id
+
+ # --- tool access ------------------------------------------------------
+
+ def _ensure_tools(self) -> dict[str, tuple[ToolFn, dict[str, Any]]]:
+ # Fast path: bindings already built. The lock is only for the slow
+ # path so we don't pay synchronization cost on every tool access.
+ if self._tools is not None:
+ return self._tools
+ # Two coroutines that race here on a fresh agent must not both
+ # build (and leak) duplicate bindings. asyncio.Lock is fair, so
+ # the second waiter will see self._tools already populated.
+ # Note: a synchronous lock is fine because this method is sync;
+ # we just need mutual exclusion against other sync call sites.
+ with self._tools_lock:
+ if self._tools is None:
+ self._tools = {
+ meta["name"]: build_tool(
+ meta["name"],
+ self.client,
+ self.config,
+ session_id=self._session_id,
+ )
+ for _fn, meta in all_tools(
+ self.client, self.config, session_id=self._session_id
+ )
+ }
+ return self._tools
+
+ def tools(self) -> list[tuple[ToolFn, dict[str, Any]]]:
+ bindings = self._ensure_tools()
+ return [bindings[name] for name, _schema in TOOL_SPECS]
+
+ def get_tool(self, name: str) -> tuple[ToolFn, dict[str, Any]]:
+ return self._ensure_tools()[name]
+
+ async def call(self, tool: str, args: dict[str, Any]) -> dict[str, Any]:
+ if not self._session_id:
+ await self.start_session()
+ fn, _schema = self.get_tool(tool)
+ return await fn(args)
+
+ # --- registration into prime-agent -----------------------------------
+
+ def register(self, target: Any) -> Any:
+ """Register all 9 tools into a prime-agent Agent (or compatible).
+
+ The assumed contract is ``target.register_tool(name, fn, schema=...)``
+ (LangChain/CrewAI-style). If prime-agent's actual API differs, this
+ is the single function the implementer needs to adjust.
+
+ The framework may invoke the registered callables directly rather
+ than going through ``EngraphisPrimeAgent.call()``, so each registered
+ tool is wrapped to lazily start the session on first invocation.
+ Without this wrapper, the advertised registration path would never
+ create or inject a per-agent session, and MemoryService would reject
+ every call.
+ """
+ # Validate both presence and that it's actually a method (hasattr
+ # would otherwise accept an attribute that happens to be a string
+ # or a class-level descriptor that isn't callable).
+ register_tool = getattr(target, "register_tool", None)
+ if not callable(register_tool):
+ raise TypeError(
+ f"Cannot register tools on {type(target).__name__}: "
+ "expected a callable `register_tool` method. "
+ "See agent.py for the adapter point."
+ )
+ for fn, meta in self.tools():
+ register_tool(meta["name"], self._wrap_for_registration(fn, meta["name"]),
+ schema=meta)
+ return target
+
+ def _wrap_for_registration(
+ self, bound_fn: ToolFn, tool_name: str
+ ) -> ToolFn:
+ """Return a callable that lazily starts a session, then delegates.
+
+ Mirrors the lazy-start behaviour of ``EngraphisPrimeAgent.call()`` so
+ that frameworks which invoke the registered tool directly (bypassing
+ ``call()``) still get a per-agent session injected.
+ """
+ agent = self
+
+ async def _wrapper(args: dict[str, Any]) -> dict[str, Any]:
+ if not agent._session_id:
+ await agent.start_session()
+ # start_session() rebuilds the bound tools with the new
+ # session_id, so re-fetch the fresh binding for the current
+ # call.
+ fresh_fn, _schema = agent.get_tool(tool_name)
+ return await fresh_fn(args)
+ return await bound_fn(args)
+
+ return _wrapper
+
+ def status(self) -> dict[str, Any]:
+ return {
+ "name": self.name,
+ "workspace": self.workspace,
+ "repo": self.repo,
+ "goal": self.goal,
+ "session_id": self._session_id,
+ "tools_bound": self._tools is not None,
+ }
+
+ # --- helpers ----------------------------------------------------------
+
+ @staticmethod
+ def _extract_session_id(response: dict[str, Any]) -> str | None:
+ for block in response.get("content", []) or []:
+ text = block.get("text")
+ if not isinstance(text, str):
+ continue
+ try:
+ parsed = json.loads(text)
+ except (ValueError, TypeError):
+ continue
+ if isinstance(parsed, dict):
+ sid = parsed.get("session_id") or parsed.get("sessionId")
+ if isinstance(sid, str) and sid:
+ return sid
+ return None
+
+
+class PrimeAgentFleet:
+ """N named sub-agents sharing one Engraphis stdio gateway.
+
+ Use as an async context manager so the subprocess is shut down cleanly::
+
+ async with PrimeAgentFleet(workspace="myrepo") as fleet:
+ await fleet["researcher"].call("engraphis_recall_context", {"query": "..."})
+ """
+
+ def __init__(
+ self,
+ *,
+ workspace: str | None = None,
+ repo: str | None = None,
+ agent_names: Iterable[str] | None = None,
+ config: EngraphisRuntimeConfig | None = None,
+ goals: dict[str, str] | None = None,
+ ) -> None:
+ base = config or build_runtime_config()
+ if workspace or repo is not None:
+ base = EngraphisRuntimeConfig(
+ command=base.command,
+ args=base.args,
+ cwd=base.cwd,
+ default_workspace=workspace if workspace is not None else base.default_workspace,
+ default_repo=repo if repo is not None else base.default_repo,
+ environment=dict(base.environment),
+ )
+ self.config = base
+ self._client = EngraphisMcpClient(self.config)
+ names = tuple(agent_names) if agent_names else DEFAULT_AGENT_NAMES
+ self._goals = goals or {}
+ self._agents: dict[str, EngraphisPrimeAgent] = {
+ n: EngraphisPrimeAgent(
+ n,
+ self._client,
+ self.config,
+ workspace=workspace,
+ repo=repo,
+ goal=self._goals.get(n, ""),
+ )
+ for n in names
+ }
+ self._stack: AsyncExitStack | None = None
+ self._closed = False
+
+ # --- collection protocol ---------------------------------------------
+
+ def __getitem__(self, name: str) -> EngraphisPrimeAgent:
+ """Look up a sub-agent by name. Raises KeyError for unknown names.
+
+ Example::
+
+ agent = fleet["researcher"]
+ """
+ return self._agents[name]
+
+ def __iter__(self):
+ """Iterate over sub-agents in insertion order (matches `names()`)."""
+ return iter(self._agents.values())
+
+ def __len__(self) -> int:
+ """Return the number of sub-agents in the fleet (default 8)."""
+ return len(self._agents)
+
+ def __contains__(self, name: object) -> bool:
+ """Return True if a sub-agent with the given name is in the fleet.
+
+ Example::
+
+ if "researcher" in fleet:
+ ...
+ """
+ return name in self._agents
+
+ def names(self) -> tuple[str, ...]:
+ """Return the sub-agent names in insertion order."""
+ return tuple(self._agents)
+
+ def status(self) -> dict[str, Any]:
+ return {
+ "workspace": self.config.default_workspace,
+ "agents": [a.status() for a in self._agents.values()],
+ "clientGeneration": self._client.generation(),
+ }
+
+ @property
+ def client(self) -> EngraphisMcpClient:
+ return self._client
+
+ # --- lifecycle --------------------------------------------------------
+
+ async def __aenter__(self) -> "PrimeAgentFleet":
+ self._stack = AsyncExitStack()
+ await self._stack.enter_async_context(self._client)
+ return self
+
+ async def __aexit__(self, *exc: Any) -> None:
+ # Best-effort: end every active session, then close the stdio gateway.
+ await asyncio.gather(
+ *(a.end_session() for a in self._agents.values()),
+ return_exceptions=True,
+ )
+ if self._stack is not None:
+ await self._stack.aclose()
+ self._stack = None
+ self._closed = True
+
+ async def aclose(self) -> None:
+ if not self._closed:
+ await self.__aexit__(None, None, None)
+
+ # --- fan-out helpers -------------------------------------------------
+
+ async def start_all_sessions(
+ self,
+ ) -> dict[str, Any]:
+ """Warm up the fleet by starting every sub-agent's session eagerly.
+
+ prime-agent schedulers that require the first tool call to never
+ block on session bootstrap should call this once before dispatching.
+
+ Returns a dict that always carries these two keys (so callers can
+ rely on the shape regardless of partial failures):
+
+ - ``"sessions"``: ``dict[str, str]`` mapping sub-agent name to
+ session id for every sub-agent whose start succeeded.
+ - ``"errors"``: ``dict[str, BaseException]`` mapping sub-agent
+ name to the exception raised for every sub-agent whose start
+ failed. Empty if everything succeeded.
+
+ Using ``asyncio.gather(..., return_exceptions=True)`` ensures a
+ single failing sub-agent does not abort the warm-up for the
+ others, and the structured ``errors`` dict makes partial failures
+ observable (previously they were only logged).
+ """
+ coros: list[Awaitable[str]] = [
+ agent.start_session() for agent in self._agents.values()
+ ]
+ results = await asyncio.gather(*coros, return_exceptions=True)
+ sessions: dict[str, str] = {}
+ errors: dict[str, BaseException] = {}
+ for name, value in zip(self._agents, results):
+ if isinstance(value, BaseException):
+ _logger.warning("start_session for %s failed: %s", name, value)
+ errors[name] = value
+ continue
+ if isinstance(value, str) and value:
+ sessions[name] = value
+ return {"sessions": sessions, "errors": errors}
+
+ async def fan_out(
+ self,
+ tool: str,
+ per_agent_args: dict[str, dict[str, Any]],
+ ) -> dict[str, Any]:
+ """Run the same tool across multiple sub-agents concurrently.
+
+ Each sub-agent awaits its own session start (which serializes on the
+ stdio transport through _call_lock). Framework-level concurrency is
+ preserved because asyncio.gather issues the calls as separate coroutines.
+
+ Args:
+ tool: The MCP tool name to invoke on every targeted sub-agent.
+ per_agent_args: Mapping of sub-agent name to its per-call args.
+ Must be non-empty; an empty mapping is almost always a
+ caller bug (likely a misnamed variable) and would silently
+ produce an empty result dict. An empty mapping raises
+ ValueError so the bug surfaces immediately.
+
+ Returns:
+ Dict mapping sub-agent name to the per-call result (or to the
+ exception if that sub-agent's call failed; return_exceptions=True
+ means partial failures are reported, not raised).
+
+ Raises:
+ ValueError: If ``per_agent_args`` is empty.
+ KeyError: If any key in ``per_agent_args`` is not a known
+ sub-agent of this fleet.
+ """
+ if not per_agent_args:
+ raise ValueError(
+ "fan_out requires a non-empty per_agent_args mapping; "
+ "got an empty dict (this is almost always a caller bug)."
+ )
+ coros: list[Awaitable[Any]] = []
+ names: list[str] = []
+ for name, args in per_agent_args.items():
+ if name not in self._agents:
+ raise KeyError(f"Unknown sub-agent: {name}")
+ coros.append(self._agents[name].call(tool, args))
+ names.append(name)
+ results = await asyncio.gather(*coros, return_exceptions=True)
+ return {n: r for n, r in zip(names, results)}
diff --git a/integrations/prime_agent/src/engraphis_prime_agent/cli.py b/integrations/prime_agent/src/engraphis_prime_agent/cli.py
new file mode 100644
index 00000000..931e5cf1
--- /dev/null
+++ b/integrations/prime_agent/src/engraphis_prime_agent/cli.py
@@ -0,0 +1,374 @@
+"""Console entry point: ``engraphis-prime-agent check|status|register|install|version``.
+
+Exit codes (convention used across subcommands):
+ 0 - success
+ 1 - the MCP server was reachable but is misconfigured (e.g. wrong tool set)
+ 2 - dependency missing on the host (binary not on PATH, install script
+ reported a config problem, or a transitive module is unavailable)
+ 3 - the MCP server could not be reached at all (subprocess error, IO,
+ timeout, JSON-RPC handshake failure)
+ 64 - command-line usage error (argparse default)
+"""
+from __future__ import annotations
+
+import argparse
+import asyncio
+import base64
+import json
+import shutil
+import sys
+from typing import Any
+
+from .agent import PrimeAgentFleet
+from .config import build_runtime_config
+from .mcp_client import EngraphisCompatibilityError, EngraphisMcpClient
+
+#: Exit code used when the configured MCP command is not on PATH.
+EXIT_MISSING_BINARY = 2
+#: Exit code used when the MCP server is reachable but its tool surface is
+#: incompatible with what this integration expects.
+EXIT_INCOMPATIBLE = 1
+#: Exit code used for any other transport / connect / IO failure.
+EXIT_TRANSPORT = 3
+#: Exit code used when the install/uninstall script reports a config error.
+EXIT_INSTALL_FAILED = 2
+
+#: Hint printed when ``shutil.which(config.command)`` comes back empty.
+_MISSING_BINARY_HINT = (
+ "The Engraphis MCP console script was not found on PATH. "
+ "Install the Smart MCP extra with: pip install \"engraphis[mcp]>=1.5,<2\""
+)
+
+
+def _json_default(value: Any) -> Any:
+ """``json`` default that handles ``bytes`` (base64) and falls back to ``str``."""
+ if isinstance(value, bytes):
+ return {"__type__": "bytes", "base64": base64.b64encode(value).decode("ascii")}
+ return str(value)
+
+
+def _print_json(obj: Any) -> None:
+ json.dump(obj, sys.stdout, indent=2, sort_keys=True, default=_json_default)
+ sys.stdout.write("\n")
+
+
+def _print_human_check(result: dict[str, Any]) -> None:
+ if result.get("ok"):
+ status = result.get("status") or {}
+ print(
+ f"ok: engraphis-mcp reachable, {status.get('toolCount', '?')} tools "
+ f"(server={status.get('server')!r})"
+ )
+ else:
+ print(f"error: {result.get('error')}")
+ hint = result.get("hint")
+ if hint:
+ print(f"hint: {hint}")
+
+
+def _print_human_status(result: dict[str, Any]) -> None:
+ agents = result.get("agents") or []
+ print(f"workspace: {result.get('workspace')}")
+ print(f"agents: {len(agents)}")
+ for entry in agents:
+ sid = entry.get("session_id") or "-"
+ print(f" - {entry.get('name'):<11} session_id={sid}")
+
+
+def _check(as_json: bool) -> int:
+ """Boot ``engraphis-mcp`` once and report status.
+
+ Returns 0 on success, 1 on a compatibility error (server reachable but
+ missing tools), 2 if the binary is not on PATH, 3 on any other failure.
+ """
+ config = build_runtime_config()
+ binary_path = shutil.which(config.command)
+ if binary_path is None:
+ # Don't even try to spawn: report an actionable error and a distinct
+ # exit code so a wrapper script can tell "binary missing" apart from
+ # "server reachable but wrong tool set".
+ result = {
+ "ok": False,
+ "error": f"command not found on PATH: {config.command!r}",
+ "hint": _MISSING_BINARY_HINT,
+ "command": config.command,
+ }
+ if as_json:
+ _print_json(result)
+ else:
+ _print_human_check(result)
+ return EXIT_MISSING_BINARY
+
+ print(f"command: {config.command} -> {binary_path}", file=sys.stderr)
+
+ async def _run() -> tuple[dict[str, Any], int]:
+ client = EngraphisMcpClient(config)
+ try:
+ await client.connect()
+ status = await client.status()
+ return {"ok": True, "command": config.command, "binary": binary_path, "status": status}, 0
+ except EngraphisCompatibilityError as exc:
+ return (
+ {
+ "ok": False,
+ "error": str(exc),
+ "hint": (
+ "The server is reachable but is missing the Smart 9-tool "
+ "surface. Upgrade with: pip install --upgrade "
+ "\"engraphis[mcp]>=1.5,<2\""
+ ),
+ "command": config.command,
+ "binary": binary_path,
+ },
+ EXIT_INCOMPATIBLE,
+ )
+ except Exception as exc: # noqa: BLE001 — surface to user
+ hint = client.diagnostic_hint()
+ return (
+ {
+ "ok": False,
+ "error": str(exc),
+ "hint": hint,
+ "command": config.command,
+ "binary": binary_path,
+ },
+ EXIT_TRANSPORT,
+ )
+ finally:
+ await client.close()
+
+ result, exit_code = asyncio.run(_run())
+ if as_json:
+ _print_json(result)
+ else:
+ _print_human_check(result)
+ return exit_code
+
+
+def _status(as_json: bool) -> int:
+ async def _run() -> tuple[dict[str, Any], int]:
+ config = build_runtime_config()
+ # Fail fast (and actionably) if the MCP command isn't on PATH, so the
+ # user doesn't have to read a stack trace to know the remedy.
+ if shutil.which(config.command) is None:
+ return (
+ {
+ "ok": False,
+ "error": f"command not found on PATH: {config.command!r}",
+ "hint": _MISSING_BINARY_HINT,
+ },
+ EXIT_MISSING_BINARY,
+ )
+ try:
+ async with PrimeAgentFleet(workspace="prime-agent-cli") as fleet:
+ return {"ok": True, **fleet.status()}, 0
+ except FileNotFoundError as exc:
+ return (
+ {
+ "ok": False,
+ "error": str(exc),
+ "hint": (
+ f"Could not launch {config.command!r}. "
+ "Install it with: pip install \"engraphis[mcp]>=1.5,<2\""
+ ),
+ },
+ EXIT_MISSING_BINARY,
+ )
+ except EngraphisCompatibilityError as exc:
+ return (
+ {
+ "ok": False,
+ "error": str(exc),
+ "hint": (
+ "The server is reachable but is missing the Smart 9-tool "
+ "surface. Upgrade with: pip install --upgrade "
+ "\"engraphis[mcp]>=1.5,<2\""
+ ),
+ },
+ EXIT_INCOMPATIBLE,
+ )
+ except Exception as exc: # noqa: BLE001 — surface to user
+ return (
+ {"ok": False, "error": str(exc), "errorType": type(exc).__name__},
+ EXIT_TRANSPORT,
+ )
+
+ result, exit_code = asyncio.run(_run())
+ if as_json:
+ _print_json(result)
+ else:
+ if result.get("ok"):
+ _print_human_status(result)
+ else:
+ print(f"error: {result.get('error')}")
+ hint = result.get("hint")
+ if hint:
+ print(f"hint: {hint}")
+ return exit_code
+
+
+def _register(as_json: bool) -> int:
+ """Print the prime-agent config snippet to stdout."""
+ snippet = {
+ "tools": {
+ "engraphis": {
+ "package": "engraphis-prime-agent",
+ "import": "engraphis_prime_agent",
+ "entry": "PrimeAgentFleet",
+ }
+ }
+ }
+ if as_json:
+ _print_json(snippet)
+ else:
+ # Human-readable view of the same snippet.
+ print("# Drop this into your prime-agent config (e.g. tools section):")
+ print(json.dumps(snippet["tools"], indent=2, sort_keys=True))
+ return 0
+
+
+def _install(uninstall: bool = False, config_path: str | None = None) -> int:
+ """Invoke the package-distributed installer.
+
+ The installer lives at ``engraphis_prime_agent.installer`` so it ships
+ with the wheel and works after ``pip install engraphis-prime-agent``
+ (the previous runpy-based path required the source-tree layout).
+ """
+ from .installer import (
+ _resolve_config_path,
+ install as _installer_install,
+ uninstall as _installer_uninstall,
+ )
+
+ path = _resolve_config_path(config_path)
+ if uninstall:
+ _installer_uninstall(path)
+ else:
+ _installer_install(path)
+ return 0
+
+
+def _version() -> int:
+ """Print the package version (single source of truth: ``__version__``)."""
+ from . import __version__
+
+ print(__version__)
+ return 0
+
+
+def _add_json_flag(parser: argparse.ArgumentParser) -> None:
+ """Add ``--json``/``--no-json`` to a subcommand.
+
+ JSON is the default and matches the historical behavior; the flag exists
+ so wrapper scripts can be explicit, and so users can request a
+ human-readable view with ``--no-json`` where it makes sense.
+ """
+ parser.add_argument(
+ "--json",
+ action=argparse.BooleanOptionalAction,
+ default=True,
+ dest="as_json",
+ help="Emit machine-readable JSON (default: true; use --no-json for text).",
+ )
+
+
+def build_parser() -> argparse.ArgumentParser:
+ parser = argparse.ArgumentParser(
+ prog="engraphis-prime-agent",
+ description=(
+ "Engraphis Smart MCP integration for PrimeIntellect's prime-agent. "
+ "Use one of the subcommands below; --json is the default output "
+ "format for all subcommands."
+ ),
+ )
+ sub = parser.add_subparsers(dest="cmd", required=True)
+
+ check_parser = sub.add_parser(
+ "check",
+ help="Start engraphis-mcp once and report status.",
+ description=(
+ "Boot the configured engraphis-mcp console script, list its tools, "
+ "and print a JSON status. Exit codes: 0 ok, 1 incompatible tool "
+ "surface, 2 binary missing, 3 transport error."
+ ),
+ )
+ _add_json_flag(check_parser)
+
+ status_parser = sub.add_parser(
+ "status",
+ help="Boot the 8-agent fleet and print session/agent state.",
+ description=(
+ "Construct the 8-agent PrimeAgentFleet, start an MCP session, "
+ "and print per-agent state. Fails with an actionable error if "
+ "engraphis-mcp is not installed."
+ ),
+ )
+ _add_json_flag(status_parser)
+
+ register_parser = sub.add_parser(
+ "register",
+ help="Print the prime-agent tool registration snippet.",
+ description=(
+ "Print the JSON snippet that registers the engraphis tool with "
+ "a prime-agent installation. Pipe the output into your config."
+ ),
+ )
+ _add_json_flag(register_parser)
+
+ install_parser = sub.add_parser(
+ "install",
+ help="Idempotently install the integration into prime-agent.",
+ description=(
+ "Idempotently register the integration with prime-agent by writing "
+ "the tools.engraphis entry into its config file. Use --uninstall to "
+ "remove the entry. --config-path overrides the target file (the "
+ "PRIME_AGENT_CONFIG_PATH env var is also respected)."
+ ),
+ )
+ install_parser.add_argument(
+ "--uninstall",
+ action="store_true",
+ help="Remove the engraphis entry from the prime-agent config instead of installing it.",
+ )
+ install_parser.add_argument(
+ "--config-path",
+ default=None,
+ metavar="PATH",
+ help="Override the prime-agent config file path (defaults to $PRIME_AGENT_CONFIG_PATH or ~/.config/prime-agent/config.json).",
+ )
+
+ version_parser = sub.add_parser(
+ "version",
+ help="Print the engraphis-prime-agent version and exit.",
+ description="Print the installed engraphis-prime-agent __version__ and exit.",
+ )
+ # The version subcommand prints a single line; --json is a no-op there
+ # but kept for symmetry with the other subcommands.
+ _add_json_flag(version_parser)
+
+ return parser
+
+
+def main(argv: list[str] | None = None) -> int:
+ parser = build_parser()
+ args = parser.parse_args(argv)
+ as_json = bool(getattr(args, "as_json", True))
+ if args.cmd == "check":
+ return _check(as_json=as_json)
+ if args.cmd == "status":
+ return _status(as_json=as_json)
+ if args.cmd == "register":
+ return _register(as_json=as_json)
+ if args.cmd == "install":
+ return _install(
+ uninstall=bool(getattr(args, "uninstall", False)),
+ config_path=getattr(args, "config_path", None),
+ )
+ if args.cmd == "version":
+ return _version()
+ parser.error(f"unknown subcommand: {args.cmd}")
+ return 64 # unreachable, but keeps type-checkers happy
+
+
+if __name__ == "__main__":
+ sys.exit(main())
diff --git a/integrations/prime_agent/src/engraphis_prime_agent/config.py b/integrations/prime_agent/src/engraphis_prime_agent/config.py
new file mode 100644
index 00000000..9095e3e5
--- /dev/null
+++ b/integrations/prime_agent/src/engraphis_prime_agent/config.py
@@ -0,0 +1,220 @@
+"""Runtime configuration for the engraphis-mcp stdio gateway.
+
+Mirrors integrations/pi/src/config.ts: a bounded environment allowlist, an
+overridable console command, and explicit default workspace/repo.
+"""
+from __future__ import annotations
+
+import os
+from dataclasses import dataclass, field
+from typing import Any, Mapping
+
+EXTENSION_VERSION = "0.1.0"
+
+CORE_DIRECT_TOOLS: tuple[str, ...] = (
+ "engraphis_session",
+ "engraphis_recall_context",
+ "engraphis_remember",
+ "engraphis_discover_actions",
+ "engraphis_execute_read",
+ "engraphis_execute_action",
+ "engraphis_get_memory",
+ "engraphis_update_memory",
+ "engraphis_conflict_review",
+)
+
+# 8 sub-agent names. Overridable via PrimeAgentFleet(agent_names=...).
+# Invariants enforced at import time: exactly 8 entries, each a non-empty
+# string, and all distinct so they can be used as fleet/dict keys.
+DEFAULT_AGENT_NAMES: tuple[str, ...] = (
+ "researcher", # gather context, recall prior decisions
+ "planner", # decompose goals into ordered steps
+ "coder", # implement changes
+ "reviewer", # critique diffs and surface risks
+ "tester", # write/run/verify tests
+ "documenter", # capture decisions for durable memory
+ "monitor", # watch logs, regressions, health
+ "integrator", # merge, deploy, coordinate handoffs
+)
+
+assert len(DEFAULT_AGENT_NAMES) == 8, "DEFAULT_AGENT_NAMES must contain exactly 8 sub-agents"
+assert all(isinstance(n, str) and n for n in DEFAULT_AGENT_NAMES), (
+ "DEFAULT_AGENT_NAMES entries must be non-empty strings"
+)
+assert len(set(DEFAULT_AGENT_NAMES)) == len(DEFAULT_AGENT_NAMES), (
+ "DEFAULT_AGENT_NAMES entries must be unique"
+)
+
+# Allowlist, identical to integrations/pi/src/config.ts::engraphisEnvironment.
+#
+# Note on case sensitivity:
+# * POSIX is case-sensitive: only ``PATH`` exists; ``Path`` would be a
+# separate variable and is harmless to include.
+# * Windows is case-insensitive: ``PATH``, ``Path``, and ``path`` all refer
+# to the same environment entry. Including both ``PATH`` and ``Path`` is
+# redundant on Windows but never harmful — the OS lookups normalise case
+# and Python's ``os.environ`` preserves the case of the *first* writer.
+# We keep both for symmetry with the Pi TS implementation.
+_ALLOWED_ENV_KEYS = frozenset({
+ "PATH", "Path", "SystemRoot", "ComSpec",
+})
+_ALLOWED_ENV_PREFIX = "ENGRAPHIS_"
+
+
+@dataclass(frozen=True)
+class EngraphisRuntimeConfig:
+ """Resolved runtime configuration for the stdio gateway subprocess.
+
+ The dataclass is frozen: attributes cannot be reassigned after ``__init__``.
+ The mutable-looking fields (``args``, ``environment``) are normalised in
+ :meth:`__post_init__` so that callers cannot mutate them in place either
+ — ``args`` becomes a ``tuple`` and ``environment`` is a shallow copy of
+ the input mapping stored as an immutable-style ``dict[str, str]``.
+
+ :param command: Executable name or absolute path of the MCP gateway
+ binary. Must be a non-empty string; falls back to ``"engraphis-mcp"``
+ on the PATH when constructed via :func:`build_runtime_config`.
+ :param args: Positional arguments passed to ``command``. Frozen as a
+ tuple at construction time.
+ :param cwd: Optional working directory for the subprocess. The value
+ is forwarded unchanged to the runtime layer, which is responsible
+ for path resolution and existence checks; this class only enforces
+ that, when provided, it is a non-empty string.
+ :param default_workspace: Optional default workspace identifier
+ forwarded to the gateway (typically a memory scope key).
+ :param default_repo: Optional default repository identifier forwarded
+ to the gateway.
+ :param environment: Allowlist-filtered environment variables to pass
+ to the subprocess. Stored as a defensive copy.
+ """
+
+ command: str = "engraphis-mcp"
+ args: tuple[str, ...] = ()
+ cwd: str | None = None
+ default_workspace: str | None = None
+ default_repo: str | None = None
+ environment: Mapping[str, str] = field(default_factory=dict)
+
+ def __post_init__(self) -> None:
+ # Validate `command`: must be a non-empty string. We check truthiness
+ # after stripping so a bare-whitespace value is rejected too.
+ if not isinstance(self.command, str) or not self.command.strip():
+ raise ValueError("EngraphisRuntimeConfig.command must be a non-empty string")
+ # Normalise `command` in place (frozen dataclass requires object.__setattr__).
+ object.__setattr__(self, "command", self.command.strip())
+
+ # Freeze `args` as a tuple. Accept any iterable of strings; reject
+ # non-string entries to surface caller mistakes early.
+ normalised_args: tuple[str, ...] = tuple(self.args)
+ for a in normalised_args:
+ if not isinstance(a, str):
+ raise TypeError(
+ f"EngraphisRuntimeConfig.args entries must be str, got {type(a).__name__}"
+ )
+ object.__setattr__(self, "args", normalised_args)
+
+ # `cwd`: light validation. The runtime layer is responsible for
+ # path resolution and existence checks; here we only ensure that,
+ # when provided, the value is a non-empty string. Relative paths
+ # are allowed and resolved relative to the parent process cwd.
+ if self.cwd is not None and (not isinstance(self.cwd, str) or not self.cwd):
+ raise ValueError("EngraphisRuntimeConfig.cwd must be a non-empty string or None")
+
+ # Defensive copy of the environment mapping. We also coerce values
+ # to str to give the field a precise ``Mapping[str, str]`` shape
+ # even if a caller passed a more permissive type.
+ env_copy: dict[str, str] = {str(k): str(v) for k, v in dict(self.environment).items()}
+ object.__setattr__(self, "environment", env_copy)
+
+ def as_subprocess_env(self) -> dict[str, str]:
+ """Return a fresh ``dict`` copy of the environment for subprocess use.
+
+ Always returns a new mapping so callers can mutate the result
+ without affecting this config's frozen state.
+ """
+ return dict(self.environment)
+
+
+def _non_blank(value: str | None) -> str | None:
+ """Return ``value`` with surrounding whitespace stripped, or ``None``.
+
+ A value that is ``None``, empty, or whitespace-only returns ``None``;
+ otherwise the stripped string is returned. Used to normalise optional
+ environment overrides before they are stored on the config.
+ """
+ if value is None:
+ return None
+ cleaned = value.strip()
+ return cleaned or None
+
+
+def _engraphis_environment(env: Mapping[str, Any]) -> dict[str, str]:
+ """Forward only the Engraphis settings and the Windows/POSIX path vars.
+
+ Mirrors integrations/pi/src/config.ts so a sub-agent's gateway sees the
+ same allowlist the Pi extension uses.
+
+ The parameter is typed ``Mapping[str, Any]`` because real-world
+ sources (``os.environ`` is fine, but test fixtures and ad-hoc dicts may
+ contain ``None`` or other non-string values). Non-string values are
+ silently dropped — this is intentional: a missing or wrongly-typed
+ variable should not crash config construction, it should just be
+ excluded from the forwarded environment.
+ """
+ forwarded: dict[str, str] = {}
+ for key, value in env.items():
+ if not isinstance(value, str):
+ continue
+ if key.startswith(_ALLOWED_ENV_PREFIX) or key in _ALLOWED_ENV_KEYS:
+ # Trim surrounding whitespace so a value like " /tmp/x.db " is
+ # forwarded as "/tmp/x.db". This keeps gateway config (paths,
+ # workspace ids, repo names) free of accidental padding and
+ # matches the trimming `_non_blank` applies to the dedicated
+ # workspace/repo fields.
+ forwarded[key] = value.strip()
+ return forwarded
+
+
+def build_runtime_config(
+ env: Mapping[str, Any] | None = None,
+ *,
+ command: str | None = None,
+ args: tuple[str, ...] | None = None,
+ cwd: str | None = None,
+) -> EngraphisRuntimeConfig:
+ """Build the runtime config the same way the Pi TS integration does.
+
+ Reads from ``env`` (defaults to :data:`os.environ`) with the following
+ resolution order for each field:
+
+ * ``command`` — explicit ``command`` kwarg, else
+ ``$ENGRAPHIS_MCP_COMMAND``, else ``"engraphis-mcp"``.
+ * ``args`` — explicit ``args`` kwarg, else ``()``.
+ * ``cwd`` — explicit ``cwd`` kwarg, else ``None``.
+ * ``default_workspace`` — ``$ENGRAPHIS_WORKSPACE`` (trimmed;
+ whitespace-only becomes ``None``).
+ * ``default_repo`` — ``$ENGRAPHIS_REPO`` (trimmed).
+ * ``environment`` — allowlist-filtered view of ``env``; only keys with
+ the ``ENGRAPHIS_`` prefix or in :data:`_ALLOWED_ENV_KEYS` are
+ forwarded, and only when their value is a ``str``.
+
+ The returned :class:`EngraphisRuntimeConfig` is frozen and stores
+ defensive copies of any mutable inputs.
+ """
+ src: Mapping[str, Any] = os.environ if env is None else env
+ resolved_command = (
+ _non_blank(command)
+ or _non_blank(src.get("ENGRAPHIS_MCP_COMMAND")) # type: ignore[arg-type]
+ or "engraphis-mcp"
+ )
+ forwarded = _engraphis_environment(src)
+ workspace = _non_blank(src.get("ENGRAPHIS_WORKSPACE")) # type: ignore[arg-type]
+ repo = _non_blank(src.get("ENGRAPHIS_REPO")) # type: ignore[arg-type]
+ return EngraphisRuntimeConfig(
+ command=resolved_command,
+ args=tuple(args or ()),
+ cwd=cwd,
+ default_workspace=workspace,
+ default_repo=repo,
+ environment=forwarded,
+ )
diff --git a/integrations/prime_agent/src/engraphis_prime_agent/installer.py b/integrations/prime_agent/src/engraphis_prime_agent/installer.py
new file mode 100644
index 00000000..9c06b1b6
--- /dev/null
+++ b/integrations/prime_agent/src/engraphis_prime_agent/installer.py
@@ -0,0 +1,277 @@
+"""Idempotent registration of the integration with PrimeIntellect's prime-agent.
+
+This module is the canonical, package-distributed implementation. The
+``scripts/install_prime_agent.py`` wrapper at the repo root invokes this
+module so the install/uninstall behaviour stays identical for both
+``pip install`` users and source-tree developers.
+
+The exact prime-agent config file path is the verification point: at
+implementation time the implementer inspects
+https://github.com/PrimeIntellect-ai/prime-agent and uses the documented
+location. This module defaults to a JSON file at
+``~/.config/prime-agent/config.json`` (or whatever ``PRIME_AGENT_CONFIG_PATH``
+points at) and falls back to TOML when the file has a ``.toml`` extension.
+The path and format can be confirmed and tightened once the prime-agent
+repo is available.
+
+Usage:
+ python scripts/install_prime_agent.py
+ python scripts/install_prime_agent.py --uninstall
+"""
+from __future__ import annotations
+
+import argparse
+import datetime
+import json
+import os
+import sys
+from pathlib import Path
+from typing import Any
+
+PACKAGE = "engraphis_prime_agent"
+ENTRY = "PrimeAgentFleet"
+TOOL_KEY = "engraphis"
+
+# Default path; override with PRIME_AGENT_CONFIG_PATH.
+_DEFAULT_PATH = Path.home() / ".config" / "prime-agent" / "config.json"
+
+
+def _settings_path() -> Path:
+ override = os.environ.get("PRIME_AGENT_CONFIG_PATH")
+ if override:
+ return Path(override)
+ return _DEFAULT_PATH
+
+
+def _utc_stamp() -> str:
+ return datetime.datetime.now(datetime.timezone.utc).strftime("%Y%m%d")
+
+
+def _backup(path: Path) -> Path | None:
+ if not path.exists():
+ return None
+ # Skip the backup when the file is brand new (zero bytes) or empty —
+ # there's nothing meaningful to preserve, and the timestamp collision
+ # on rapid successive runs is avoided.
+ if path.stat().st_size == 0:
+ return None
+ backup = path.with_name(f"{path.name}.bak-engraphis-{_utc_stamp()}")
+ if backup.exists():
+ return backup
+ backup.write_bytes(path.read_bytes())
+ return backup
+
+
+def _read(path: Path) -> dict[str, Any]:
+ if not path.exists():
+ return {}
+ text = path.read_text(encoding="utf-8").strip()
+ if not text:
+ return {}
+ if path.suffix == ".json":
+ try:
+ return json.loads(text)
+ except json.JSONDecodeError as exc:
+ print(f"error: {path} is not valid JSON: {exc}", file=sys.stderr)
+ sys.exit(2)
+ if path.suffix == ".toml":
+ try:
+ import tomllib # Python 3.11+
+ except ImportError:
+ print(
+ f"error: reading {path} as TOML requires Python 3.11+ "
+ "(tomllib is in the stdlib from 3.11 onward)",
+ file=sys.stderr,
+ )
+ sys.exit(2)
+ try:
+ return tomllib.loads(text)
+ except tomllib.TOMLDecodeError as exc:
+ print(f"error: {path} is not valid TOML: {exc}", file=sys.stderr)
+ sys.exit(2)
+ print(
+ f"error: unsupported config format for {path} "
+ f"(expected .json or .toml, got {path.suffix!r})",
+ file=sys.stderr,
+ )
+ sys.exit(2)
+
+
+def _ensure_writable_parent(path: Path) -> None:
+ """Refuse to write if the parent directory is not writable.
+
+ Catches the common failure modes early: missing parent on a read-only
+ filesystem, an unwritable existing directory, or a path whose parent is a
+ file. The actual write still happens after this check, so a TOCTOU race is
+ technically possible, but in practice the only way to fail here is the
+ configuration the user is asking us to use.
+ """
+ parent = path.parent
+ if parent.exists() and not parent.is_dir():
+ print(
+ f"error: parent of {path} exists but is not a directory: {parent}",
+ file=sys.stderr,
+ )
+ sys.exit(2)
+ if not parent.exists():
+ # We will create it; check that we can. ``os.access`` on a non-existent
+ # path checks the nearest existing ancestor, which is what we want.
+ ancestor = parent
+ while not ancestor.exists():
+ ancestor = ancestor.parent
+ if not os.access(str(ancestor), os.W_OK):
+ print(
+ f"error: cannot create {path}: no write access to {ancestor}",
+ file=sys.stderr,
+ )
+ sys.exit(2)
+ return
+ if not os.access(str(parent), os.W_OK):
+ print(
+ f"error: parent directory of {path} is not writable: {parent}",
+ file=sys.stderr,
+ )
+ sys.exit(2)
+
+
+def _write(path: Path, data: dict[str, Any]) -> None:
+ _ensure_writable_parent(path)
+ path.parent.mkdir(parents=True, exist_ok=True)
+ if path.suffix == ".json":
+ path.write_text(
+ json.dumps(data, indent=2, sort_keys=True) + "\n", encoding="utf-8"
+ )
+ return
+ if path.suffix == ".toml":
+ try:
+ import tomli_w
+ except ImportError:
+ print(
+ f"error: writing {path} as TOML requires the 'tomli_w' package; "
+ "install it with: pip install 'tomli_w>=1.0' "
+ "(it is not bundled with the engraphis core package)",
+ file=sys.stderr,
+ )
+ sys.exit(2)
+ # tomli_w.dumps returns str, not bytes — use write_text, not write_bytes.
+ path.write_text(tomli_w.dumps(data), encoding="utf-8")
+ return
+ print(
+ f"error: unsupported config format for {path} "
+ f"(expected .json or .toml, got {path.suffix!r})",
+ file=sys.stderr,
+ )
+ sys.exit(2)
+
+
+def _entry() -> dict[str, str]:
+ # Use the underscore-separated import name as the distribution name; the
+ # PyPI distribution is engraphis-prime-agent (hyphenated) but the
+ # Python import path is engraphis_prime_agent (underscored).
+ return {
+ "package": "engraphis-prime-agent",
+ "import": PACKAGE,
+ "entry": ENTRY,
+ }
+
+
+def _dry_run(path: Path, before: dict[str, Any], after: dict[str, Any]) -> None:
+ print("--- before")
+ print(json.dumps(before, indent=2, sort_keys=True))
+ print("--- after")
+ print(json.dumps(after, indent=2, sort_keys=True))
+ print(f"(dry-run) no changes written to {path}")
+
+
+def install(
+ path: Path | None = None,
+ *,
+ merge: bool = False,
+ dry_run: bool = False,
+) -> None:
+ path = path or _settings_path()
+ cfg = _read(path)
+ before = dict(cfg)
+ tools = cfg.setdefault("tools", {})
+ entry = _entry()
+ if merge and isinstance(tools.get(TOOL_KEY), dict):
+ # Preserve operator-supplied keys under the tools.engraphis table.
+ merged = dict(tools[TOOL_KEY])
+ merged.update(entry)
+ tools[TOOL_KEY] = merged
+ else:
+ tools[TOOL_KEY] = entry
+ if dry_run:
+ _dry_run(path, before, cfg)
+ return
+ _backup(path)
+ _write(path, cfg)
+ print(f"installed engraphis-prime-agent into {path}")
+
+
+def uninstall(
+ path: Path | None = None,
+ *,
+ dry_run: bool = False,
+) -> None:
+ path = path or _settings_path()
+ cfg = _read(path)
+ before = dict(cfg)
+ tools = cfg.get("tools", {})
+ if TOOL_KEY not in tools:
+ if dry_run:
+ _dry_run(path, before, before)
+ else:
+ print(f"no engraphis entry in {path}")
+ return
+ del tools[TOOL_KEY]
+ if not tools:
+ cfg.pop("tools", None)
+ if dry_run:
+ _dry_run(path, before, cfg)
+ return
+ _backup(path)
+ _write(path, cfg)
+ print(f"removed engraphis entry from {path}")
+
+
+def _resolve_config_path(explicit: str | None) -> Path | None:
+ """CLI flag → env var → None (use default). Empty string is treated as unset."""
+ if explicit:
+ return Path(explicit)
+ env = os.environ.get("PRIME_AGENT_CONFIG_PATH")
+ if env:
+ return Path(env)
+ return None
+
+
+def main(argv: list[str] | None = None) -> int:
+ parser = argparse.ArgumentParser(description=__doc__.split("\n\n", 1)[0])
+ parser.add_argument("--uninstall", action="store_true")
+ parser.add_argument(
+ "--config-path",
+ default=None,
+ help="Override the prime-agent config file path (defaults to "
+ "$PRIME_AGENT_CONFIG_PATH or ~/.config/prime-agent/config.json).",
+ )
+ parser.add_argument(
+ "--merge",
+ action="store_true",
+ help="Merge with any existing [tools.engraphis] entry instead of replacing it.",
+ )
+ parser.add_argument(
+ "--dry-run",
+ action="store_true",
+ help="Show the before/after diff and exit without writing or backing up.",
+ )
+ args = parser.parse_args(argv)
+ path = _resolve_config_path(args.config_path)
+ if args.uninstall:
+ uninstall(path, dry_run=args.dry_run)
+ else:
+ install(path, merge=args.merge, dry_run=args.dry_run)
+ return 0
+
+
+if __name__ == "__main__":
+ sys.exit(main())
diff --git a/integrations/prime_agent/src/engraphis_prime_agent/mcp_client.py b/integrations/prime_agent/src/engraphis_prime_agent/mcp_client.py
new file mode 100644
index 00000000..9c849308
--- /dev/null
+++ b/integrations/prime_agent/src/engraphis_prime_agent/mcp_client.py
@@ -0,0 +1,344 @@
+"""Async stdio client for the local Engraphis MCP gateway.
+
+Translates integrations/pi/src/mcp-client.ts to the Python `mcp` SDK:
+ - one shared subprocess (StdioClientTransport from mcp.client.stdio)
+ - generation counter so a close-during-connect cannot leave a stale Client
+ - bounded 4 KiB stderr buffer for diagnosis
+ - retry-on-read-only up to 2 attempts with backoff
+ - 60s connect / 5 min tool timeouts
+ - two distinct exception classes for tool-level vs. compatibility errors
+"""
+from __future__ import annotations
+
+import asyncio
+import json
+import logging
+import os
+import re
+import tempfile
+from contextlib import AsyncExitStack
+from typing import Any, TextIO
+
+from mcp import ClientSession, StdioServerParameters
+from mcp.client.stdio import stdio_client
+from mcp.types import Implementation
+
+from .config import CORE_DIRECT_TOOLS, EXTENSION_VERSION, EngraphisRuntimeConfig
+
+_logger = logging.getLogger("engraphis_prime_agent.mcp_client")
+
+TOOL_REQUEST_TIMEOUT_S = 5 * 60
+CONNECT_TIMEOUT_S = 60
+STDERR_BUFFER_BYTES = 4 * 1024
+
+READ_ONLY_TOOLS = frozenset({
+ "engraphis_recall_context",
+ "engraphis_get_memory",
+ "engraphis_conflict_review",
+ "engraphis_discover_actions",
+})
+
+
+class EngraphisMcpToolError(RuntimeError):
+ """Semantic rejection returned by the MCP server (e.g. invalid args)."""
+
+
+class EngraphisCompatibilityError(RuntimeError):
+ """Gateway is reachable but does not expose the Smart 9-tool surface."""
+
+
+class EngraphisMcpClient:
+ """Lazy async stdio client. Safe to share across coroutines.
+
+ Concurrent tool calls are serialized through a single asyncio.Lock; the
+ stdio transport is one connection, so the upstream SDK cannot interleave
+ JSON-RPC frames safely. Framework-level concurrency (e.g. 8 sub-agents
+ reasoning in parallel and then each issuing a tool call) is unaffected.
+ """
+
+ def __init__(self, config: EngraphisRuntimeConfig) -> None:
+ self._config = config
+ self._lifecycle = 0
+ self._session: ClientSession | None = None
+ self._stack: AsyncExitStack | None = None
+ self._connect_lock = asyncio.Lock()
+ self._call_lock = asyncio.Lock()
+ self._tools_cache: list[dict[str, Any]] | None = None
+ self._diagnostic = ""
+ self._client_name = f"engraphis-prime-agent/{EXTENSION_VERSION}"
+ # A real temp file is the only cross-platform `errlog` that Windows
+ # subprocess.Popen accepts. The file is read on demand to fill the
+ # bounded diagnostic buffer; it's never persisted.
+ self._stderr_file: TextIO | None = None
+ self._stderr_path: str | None = None
+
+ # --- lifecycle -------------------------------------------------------
+
+ def generation(self) -> int:
+ return self._lifecycle
+
+ @property
+ def config(self) -> EngraphisRuntimeConfig:
+ return self._config
+
+ def diagnostic_hint(self) -> str | None:
+ d = self._diagnostic
+ if re.search(r"python 3\.10|requires python 3\.10", d, re.I):
+ return "The Engraphis MCP server requires Python 3.10 or later."
+ if re.search(r"no module named ['\"]?mcp", d, re.I):
+ return "The Engraphis MCP dependency is missing. Install `engraphis[mcp]>=1.5,<2`."
+ if re.search(r"no module named ['\"]?engraphis", d, re.I):
+ return "Engraphis is not installed for the configured MCP command."
+ return None
+
+ def _refresh_diagnostic_from_file(self) -> None:
+ path = self._stderr_path
+ if not path:
+ return
+ try:
+ with open(path, "r", encoding="utf-8", errors="replace") as f:
+ data = f.read(STDERR_BUFFER_BYTES * 4)
+ except OSError:
+ return
+ self._diagnostic = data[-STDERR_BUFFER_BYTES:]
+
+ async def connect(self) -> ClientSession:
+ async with self._connect_lock:
+ if self._session is not None:
+ return self._session
+ # Capture the generation so a concurrent close() (which bumps
+ # _lifecycle) invalidates this connect. The post-await check
+ # below closes the freshly-opened stack and discards the session
+ # instead of publishing a live subprocess after shutdown.
+ generation = self._lifecycle
+ self._diagnostic = ""
+ stack = AsyncExitStack()
+ try:
+ params = StdioServerParameters(
+ command=self._config.command,
+ args=list(self._config.args),
+ cwd=self._config.cwd,
+ env=dict(self._config.environment),
+ )
+ # Open a real temp file for stderr so Windows subprocess.Popen
+ # can take its fileno. The file is closed and unlinked after
+ # the session is torn down.
+ err_fd, err_path = tempfile.mkstemp(prefix="engraphis-prime-agent-", suffix=".err")
+ err_file = os.fdopen(err_fd, mode="w", encoding="utf-8", buffering=1)
+ stack.callback(err_file.close)
+ stack.callback(self._safe_unlink, err_path)
+ self._stderr_file = err_file
+ self._stderr_path = err_path
+ read, write = await asyncio.wait_for(
+ stack.enter_async_context(stdio_client(params, errlog=err_file)),
+ timeout=CONNECT_TIMEOUT_S,
+ )
+ session = await stack.enter_async_context(
+ ClientSession(
+ read,
+ write,
+ client_info=Implementation(name=self._client_name, version=EXTENSION_VERSION),
+ )
+ )
+ await asyncio.wait_for(session.initialize(), timeout=CONNECT_TIMEOUT_S)
+ tools = await self._list_tools(session)
+ available = {t["name"] for t in tools}
+ missing = [n for n in CORE_DIRECT_TOOLS if n not in available]
+ if missing:
+ self._refresh_diagnostic_from_file()
+ raise EngraphisCompatibilityError(
+ "Engraphis 1.5.x Smart MCP is required; the server is "
+ f"missing: {', '.join(missing)}."
+ )
+ # If close() ran while we were awaiting, abort — don't
+ # publish a session that the caller has already decided to
+ # discard. The local stack is closed before the raise so the
+ # subprocess is reaped.
+ if self._lifecycle != generation:
+ await stack.aclose()
+ self._stderr_file = None
+ self._stderr_path = None
+ raise EngraphisMcpToolError(
+ "Engraphis client was closed before the connect completed."
+ )
+ self._session = session
+ self._stack = stack
+ self._tools_cache = tools
+ return session
+ except BaseException:
+ self._refresh_diagnostic_from_file()
+ await stack.aclose()
+ self._session = None
+ self._stack = None
+ self._tools_cache = None
+ self._stderr_file = None
+ self._stderr_path = None
+ raise
+
+ @staticmethod
+ def _safe_unlink(path: str) -> None:
+ try:
+ os.unlink(path)
+ except OSError:
+ pass
+
+ async def close(self) -> None:
+ # Hold the connect lock so any in-flight connect() either completes
+ # before us (and is then torn down) or aborts via the post-await
+ # generation check. Without this, a concurrent close() can return
+ # while a connect() is still mid-await, leaving a live subprocess.
+ async with self._connect_lock:
+ self._lifecycle += 1
+ stack = self._stack
+ self._stack = None
+ self._session = None
+ self._tools_cache = None
+ # Reset stderr-temp-file handles. The actual file close + unlink are
+ # registered as AsyncExitStack callbacks in connect(), so they fire
+ # when `stack.aclose()` runs below. We just need to drop the Python
+ # references so a subsequent connect() can recreate them cleanly.
+ self._stderr_file = None
+ self._stderr_path = None
+ if stack is not None:
+ try:
+ await stack.aclose()
+ except Exception: # noqa: BLE001 — best-effort teardown
+ _logger.debug("ignored error while closing MCP stack", exc_info=True)
+
+ async def __aenter__(self) -> "EngraphisMcpClient":
+ await self.connect()
+ return self
+
+ async def __aexit__(self, *exc: Any) -> None:
+ await self.close()
+
+ # --- tool surface ----------------------------------------------------
+
+ async def list_tools(self) -> list[dict[str, Any]]:
+ if self._tools_cache is not None:
+ return list(self._tools_cache)
+ session = await self.connect()
+ tools = await self._list_tools(session)
+ self._tools_cache = tools
+ return list(tools)
+
+ async def call_tool(self, name: str, arguments: dict[str, Any]) -> dict[str, Any]:
+ if name not in CORE_DIRECT_TOOLS:
+ raise EngraphisMcpToolError(f"Unknown Engraphis tool: {name}")
+ last_error: BaseException | None = None
+ retry = name in READ_ONLY_TOOLS
+ max_attempts = 3 if retry else 1
+ for attempt in range(max_attempts):
+ try:
+ async with self._call_lock:
+ session = await self.connect()
+ response = await asyncio.wait_for(
+ session.call_tool(name, arguments),
+ timeout=TOOL_REQUEST_TIMEOUT_S,
+ )
+ return self._format_result(name, response)
+ except EngraphisMcpToolError:
+ raise
+ except EngraphisCompatibilityError:
+ raise
+ except asyncio.TimeoutError:
+ raise
+ except asyncio.CancelledError:
+ raise
+ except (BrokenPipeError, ConnectionError, OSError, EOFError) as exc:
+ # Standard transport / stdio-pipe failure: log distinctly
+ # at DEBUG (per-attempt noise is already covered by the
+ # WARNING below on the terminal failure).
+ last_error = exc
+ _logger.debug(
+ "MCP transport failure for %s (attempt %d): %s",
+ name, attempt + 1, exc,
+ )
+ self._refresh_diagnostic_from_file()
+ await self.close()
+ if attempt + 1 >= max_attempts:
+ break
+ # Linear backoff: attempt 0 -> 1.0s, attempt 1 -> 2.2s.
+ # Formula: base * (attempt + 1) + jitter * attempt.
+ await asyncio.sleep((attempt + 1) * 1.0 + attempt * 0.2)
+ except Exception as exc: # unexpected transport failure
+ last_error = exc
+ _logger.debug(
+ "MCP unexpected failure for %s (attempt %d): %s",
+ name, attempt + 1, exc,
+ )
+ self._refresh_diagnostic_from_file()
+ await self.close()
+ if attempt + 1 >= max_attempts:
+ break
+ await asyncio.sleep((attempt + 1) * 1.0 + attempt * 0.2)
+ assert last_error is not None
+ _logger.warning(
+ "MCP call %s failed after %d attempt(s): %s",
+ name, max_attempts, last_error,
+ )
+ raise last_error
+
+ # --- helpers ---------------------------------------------------------
+
+ async def _list_tools(self, session: ClientSession) -> list[dict[str, Any]]:
+ all_tools: list[dict[str, Any]] = []
+ cursor: str | None = None
+ while True:
+ page = await session.list_tools(cursor=cursor)
+ for tool in page.tools:
+ all_tools.append(
+ {
+ "name": tool.name,
+ "description": tool.description,
+ "inputSchema": tool.inputSchema,
+ }
+ )
+ cursor = page.nextCursor
+ if not cursor:
+ break
+ return all_tools
+
+ @staticmethod
+ def _format_result(name: str, response: Any) -> dict[str, Any]:
+ is_error = bool(getattr(response, "isError", False))
+ content: list[dict[str, Any]] = []
+ for block in getattr(response, "content", []) or []:
+ text = getattr(block, "text", None)
+ content.append({"type": getattr(block, "type", "text"), "text": text})
+ text = "\n\n".join(
+ b["text"] for b in content if b.get("type") == "text" and b.get("text")
+ ).strip()
+ declared_error = re.match(r"^Error:\s*([a-z0-9_]+)\s*$", text, re.I)
+ server_error = text.lower().startswith("error:")
+ if is_error or server_error:
+ if declared_error:
+ msg = f"Engraphis rejected the request: {declared_error.group(1)}."
+ else:
+ msg = (
+ "Engraphis rejected the request. Verify the parameters and "
+ "inspect the local Engraphis logs."
+ )
+ raise EngraphisMcpToolError(msg)
+ return {"_tool": name, "isError": is_error, "content": content}
+
+ # --- status ----------------------------------------------------------
+
+ async def status(self) -> dict[str, Any]:
+ tools = await self.list_tools()
+ return {
+ "connected": True,
+ "server": "engraphis",
+ "toolCount": len(tools),
+ "diagnosticHint": self.diagnostic_hint(),
+ }
+
+
+def format_mcp_payload(payload: dict[str, Any]) -> str:
+ """Return the joined text content of a tool result, falling back to JSON."""
+ parts: list[str] = []
+ for block in payload.get("content", []) or []:
+ if block.get("type") == "text" and isinstance(block.get("text"), str):
+ parts.append(block["text"])
+ joined = "\n\n".join(parts).strip()
+ return joined or json.dumps(payload, indent=2, default=str)
diff --git a/integrations/prime_agent/src/engraphis_prime_agent/tools.py b/integrations/prime_agent/src/engraphis_prime_agent/tools.py
new file mode 100644
index 00000000..88cd9dec
--- /dev/null
+++ b/integrations/prime_agent/src/engraphis_prime_agent/tools.py
@@ -0,0 +1,509 @@
+"""9 Smart tool factories, each a (args, ctx) -> dict callable.
+
+Schema and semantics are translated 1:1 from
+integrations/pi/src/tool-schemas.ts. The resulting callables work with
+both EngraphisPrimeAgent and any prime-agent tool-registration surface that
+matches the (args: dict, ctx: dict | None) -> dict contract.
+"""
+from __future__ import annotations
+
+from typing import Any, Awaitable, Callable
+
+from .config import EngraphisRuntimeConfig
+from .mcp_client import EngraphisMcpClient, EngraphisMcpToolError
+
+# The runtime contract: prime-agent (and any compatible tool-registration
+# surface) calls the registered callable with the model's args plus an
+# optional ctx dict (conversation/session metadata). Both are accepted
+# positionally; ctx defaults to None so the legacy single-arg call shape
+# still works.
+ToolFn = Callable[
+ [dict[str, Any], dict[str, Any] | None], Awaitable[dict[str, Any]]
+]
+
+# --- JSON Schemas (translated from tool-schemas.ts) -------------------------
+# The same defaults, bounds, and descriptions; identical behaviour across Pi
+# and prime-agent integrations.
+
+_SESSION_SCHEMA: dict[str, Any] = {
+ "type": "object",
+ "additionalProperties": False,
+ "properties": {
+ "action": {"type": "string", "enum": ["start", "end"], "default": "start"},
+ # `agent` is required by the underlying engraphis_session tool —
+ # we never want a silent fallback to a generic "prime-agent"
+ # name, so no `default` is declared.
+ "agent": {"type": "string", "minLength": 1, "maxLength": 200},
+ "force_new": {"type": "boolean", "default": False},
+ "goal": {"type": "string", "maxLength": 1000, "default": ""},
+ "session_id": {"type": "string", "maxLength": 200, "default": ""},
+ "summary": {"type": "string", "maxLength": 100000, "default": ""},
+ "outcome": {"type": "string", "maxLength": 1000, "default": ""},
+ "open_threads": {
+ "type": "array",
+ "items": {"type": "string"},
+ "nullable": True,
+ "default": None,
+ },
+ "token_budget": {"type": "integer", "minimum": 0, "maximum": 32768, "default": 512},
+ "workspace": {"type": "string", "maxLength": 200},
+ "repo": {"type": ["string", "null"], "maxLength": 200, "default": None},
+ },
+ "required": ["agent"],
+}
+
+_RECALL_CONTEXT_SCHEMA: dict[str, Any] = {
+ "type": "object",
+ "additionalProperties": False,
+ "properties": {
+ "query": {"type": "string", "minLength": 1, "maxLength": 100000},
+ "k": {"type": "integer", "minimum": 1, "maximum": 50, "default": 8},
+ "session_id": {"type": ["string", "null"], "default": None},
+ "token_budget": {
+ "type": "integer",
+ "minimum": 0,
+ "maximum": 32768,
+ "default": 1024,
+ },
+ "workspace": {"type": ["string", "null"], "maxLength": 200, "default": None},
+ "repo": {"type": ["string", "null"], "maxLength": 200, "default": None},
+ },
+ "required": ["query"],
+}
+
+_REMEMBER_SCHEMA: dict[str, Any] = {
+ "type": "object",
+ "additionalProperties": False,
+ "properties": {
+ "content": {"type": "string", "minLength": 1, "maxLength": 100000},
+ "mtype": {
+ "type": "string",
+ "enum": ["semantic", "episodic", "procedural", "working"],
+ "default": "semantic",
+ },
+ "importance": {"type": "number", "minimum": 0, "maximum": 1, "default": 0},
+ "session_id": {"type": ["string", "null"], "default": None},
+ "workspace": {"type": "string", "maxLength": 200},
+ "repo": {"type": ["string", "null"], "maxLength": 200, "default": None},
+ },
+ "required": ["content"],
+}
+
+_DISCOVER_ACTIONS_SCHEMA: dict[str, Any] = {
+ "type": "object",
+ "additionalProperties": False,
+ "properties": {
+ "task": {"type": "string", "minLength": 1, "maxLength": 2000},
+ "category": {
+ "type": "string",
+ "enum": ["memory", "governance", "code", "audit", "ops", ""],
+ "maxLength": 100,
+ "default": "",
+ },
+ "intent": {
+ "type": "string",
+ "enum": ["any", "read", "write", "admin", "destructive"],
+ "default": "any",
+ },
+ "limit": {"type": "integer", "minimum": 1, "maximum": 3, "default": 1},
+ },
+ "required": ["task"],
+}
+
+_EXECUTE_PARAM_PROPS = {
+ "capability_id": {"type": "string", "minLength": 8, "maxLength": 128},
+ "schema_digest": {"type": "string", "minLength": 8, "maxLength": 128},
+ "arguments": {"type": "object", "additionalProperties": True},
+}
+
+_EXECUTE_READ_SCHEMA: dict[str, Any] = {
+ "type": "object",
+ "additionalProperties": False,
+ "properties": _EXECUTE_PARAM_PROPS,
+ "required": ["capability_id", "schema_digest", "arguments"],
+}
+
+_EXECUTE_ACTION_SCHEMA: dict[str, Any] = {
+ "type": "object",
+ "additionalProperties": False,
+ "properties": _EXECUTE_PARAM_PROPS,
+ "required": ["capability_id", "schema_digest", "arguments"],
+}
+
+_GET_MEMORY_SCHEMA: dict[str, Any] = {
+ "type": "object",
+ "additionalProperties": False,
+ "properties": {
+ "memory_id": {"type": "string", "minLength": 1, "maxLength": 200},
+ "workspace": {"type": "string", "maxLength": 200},
+ "repo": {"type": ["string", "null"], "maxLength": 200, "default": None},
+ },
+ "required": ["memory_id"],
+}
+
+_UPDATE_MEMORY_SCHEMA: dict[str, Any] = {
+ "type": "object",
+ "additionalProperties": False,
+ "properties": {
+ "memory_id": {"type": "string", "minLength": 1, "maxLength": 200},
+ "title": {"type": ["string", "null"], "maxLength": 500, "default": None},
+ "mtype": {
+ "type": ["string", "null"],
+ "enum": ["semantic", "episodic", "procedural", "working", None],
+ "default": None,
+ },
+ "importance": {"type": ["number", "null"], "minimum": 0, "maximum": 1, "default": None},
+ "actor": {"type": "string", "maxLength": 200, "default": "user"},
+ "workspace": {"type": "string", "maxLength": 200},
+ "repo": {"type": ["string", "null"], "maxLength": 200, "default": None},
+ },
+ "required": ["memory_id"],
+}
+
+_CONFLICT_REVIEW_SCHEMA: dict[str, Any] = {
+ "type": "object",
+ "additionalProperties": False,
+ "properties": {
+ "limit": {"type": "integer", "minimum": 1, "maximum": 100, "default": 50},
+ "workspace": {"type": "string", "maxLength": 200},
+ "repo": {"type": ["string", "null"], "maxLength": 200, "default": None},
+ },
+ # All three parameters are optional; the empty list documents that
+ # explicitly so consumers don't have to guess whether the missing
+ # `required` key means "all fields implicit" or "no fields required".
+ "required": [],
+}
+
+_DESC: dict[str, str] = {
+ "engraphis_session": (
+ "Start, resume, or end an Engraphis session for a named sub-agent. "
+ "Call with `action: 'start'` to obtain a session_id that all other "
+ "tools will reuse; call `action: 'end'` with a summary and outcome "
+ "to close it. The `agent` field identifies the sub-agent in audit "
+ "logs — pick a stable role name, not a per-request token."
+ ),
+ "engraphis_recall_context": (
+ "Recall prior decisions, procedures, and context for the current "
+ "task. Use at the start of any non-trivial task to surface "
+ "existing constraints, conventions, and reusable code. The `query` "
+ "should be a short intent statement (e.g. 'how we index vectors'), "
+ "not a raw log dump — keep it under a few hundred characters for "
+ "best recall."
+ ),
+ "engraphis_remember": (
+ "Persist a durable fact, decision, preference, or procedure that "
+ "future tasks should be able to recall. Use sparingly for "
+ "load-bearing decisions (architecture, conventions, gotchas) and "
+ "always write a self-contained `content` — do NOT store "
+ "credentials, API keys, raw log lines, or PII."
+ ),
+ "engraphis_discover_actions": (
+ "Discover advanced capabilities (governance / code / ops) for a "
+ "task. Call this when none of the 8 direct tools fits, or when "
+ "you suspect there is a write/admin surface you have not been "
+ "exposed to. The returned `capability_id` + `schema_digest` pair "
+ "must be passed back to `engraphis_execute_read` or "
+ "`engraphis_execute_action`."
+ ),
+ "engraphis_execute_read": (
+ "Invoke a read-only advanced action discovered via "
+ "`engraphis_discover_actions`. Safe to retry on transport failure. "
+ "Never pass arguments the schema did not declare — read-only tools "
+ "still authenticate the caller, and unknown keys are rejected."
+ ),
+ "engraphis_execute_action": (
+ "Invoke a write or admin advanced action discovered via "
+ "`engraphis_discover_actions`. This is the write-side equivalent "
+ "of `engraphis_execute_read` — same capability_id / schema_digest "
+ "pair, but mutations and admin operations. The action is recorded "
+ "in the audit log; ensure `arguments` is complete and accurate "
+ "before calling."
+ ),
+ "engraphis_get_memory": (
+ "Read a specific memory by id. Use after `engraphis_recall_context` "
+ "to fetch the full record of a memory referenced only by summary. "
+ "Returns the governed record (content, provenance, scope, "
+ "temporal fields); treat the result as untrusted display text."
+ ),
+ "engraphis_update_memory": (
+ "Edit an existing memory's metadata — title, type, importance, or "
+ "the audit actor. Content edits are intentionally NOT exposed: to "
+ "change the body, write a new memory and let the conflict-review "
+ "flow reconcile. Bounds: `importance` is a float in [0, 1]; "
+ "`actor` is the principal performing the edit (defaults to "
+ "'user')."
+ ),
+ "engraphis_conflict_review": (
+ "List memories flagged for conflict review — typically two records "
+ "that disagree about the same scope. Read this list, then either "
+ "update one side via `engraphis_update_memory` or write a new "
+ "resolution memory. Safe to poll on a schedule."
+ ),
+}
+
+TOOL_SPECS: tuple[tuple[str, dict[str, Any]], ...] = (
+ ("engraphis_session", _SESSION_SCHEMA),
+ ("engraphis_recall_context", _RECALL_CONTEXT_SCHEMA),
+ ("engraphis_remember", _REMEMBER_SCHEMA),
+ ("engraphis_discover_actions", _DISCOVER_ACTIONS_SCHEMA),
+ ("engraphis_execute_read", _EXECUTE_READ_SCHEMA),
+ ("engraphis_execute_action", _EXECUTE_ACTION_SCHEMA),
+ ("engraphis_get_memory", _GET_MEMORY_SCHEMA),
+ ("engraphis_update_memory", _UPDATE_MEMORY_SCHEMA),
+ ("engraphis_conflict_review", _CONFLICT_REVIEW_SCHEMA),
+)
+
+
+# --- factory ----------------------------------------------------------------
+
+
+def apply_scope_defaults(
+ params: dict[str, Any],
+ config: EngraphisRuntimeConfig,
+ extra: dict[str, Any] | None = None,
+) -> dict[str, Any]:
+ """Translate of integrations/pi/src/tool-schemas.ts::applyScopeDefaults.
+
+ Model-supplied values win. Workspace/repo defaults from the runtime config
+ are only injected when the caller has not already set them and the chosen
+ workspace matches the configured default (mirrors Pi behaviour).
+ """
+ result: dict[str, Any] = dict(extra or {})
+ result.update(params)
+ if "workspace" not in result and config.default_workspace:
+ result["workspace"] = config.default_workspace
+ if (
+ "repo" not in result
+ and config.default_repo
+ and config.default_workspace
+ and result.get("workspace") == config.default_workspace
+ ):
+ result["repo"] = config.default_repo
+ return result
+
+
+# --- lightweight schema validation ------------------------------------------
+#
+# We avoid pulling in `jsonschema` as a top-level dependency and instead
+# implement the small subset of JSON Schema that our 9 tool definitions
+# actually use. Each tool's schema is hand-written, so a focused validator
+# is enough and keeps the runtime surface zero-extra-dep.
+#
+# Supported keywords:
+# - type: str | list[str] (with "null" used as the nullable sentinel)
+# - enum: sequence of allowed values
+# - required: list of required property names
+# - additionalProperties: bool (False rejects unknown keys)
+# - properties: per-keyword sub-schemas (each one runs through the same
+# validator, recursively for `items`)
+# - minLength / maxLength: string length bounds
+# - minimum / maximum: int/number bounds
+# - minItems / maxItems: array length bounds
+#
+# The `default` keyword is accepted but never enforced — the call sites do
+# their own defaulting (see `apply_scope_defaults`).
+
+_TYPE_RANK = {
+ "string": str,
+ "integer": int,
+ "number": (int, float),
+ "boolean": bool,
+ "array": list,
+ "object": dict,
+ "null": type(None),
+}
+
+
+def _coerce_type(value: Any, declared: Any) -> bool:
+ """True iff `value` satisfies the JSON-Schema-style `type` keyword."""
+ if isinstance(declared, str):
+ declared = [declared]
+ # bool is a subclass of int in Python; reject it where the schema
+ # says "integer" / "number" so a stray `True` is not silently accepted.
+ for t in declared:
+ py = _TYPE_RANK.get(t)
+ if py is None:
+ continue
+ if t in ("integer", "number") and isinstance(value, bool):
+ return False
+ if not isinstance(value, py):
+ return False
+ return True
+
+
+def _validate_schema(schema: dict[str, Any], value: Any, path: str = "") -> list[str]:
+ errors: list[str] = []
+ declared_type = schema.get("type")
+ if declared_type is not None:
+ if not _coerce_type(value, declared_type):
+ errors.append(
+ f"{path or 'value'}: expected type {declared_type}, "
+ f"got {type(value).__name__}"
+ )
+ return errors # type is wrong; deeper checks would be misleading
+ if "enum" in schema and value not in schema["enum"]:
+ errors.append(
+ f"{path or 'value'}: must be one of {list(schema['enum'])!r}, "
+ f"got {value!r}"
+ )
+ if declared_type == "string" or "minLength" in schema or "maxLength" in schema:
+ if isinstance(value, str):
+ lo = schema.get("minLength")
+ hi = schema.get("maxLength")
+ if lo is not None and len(value) < lo:
+ errors.append(
+ f"{path or 'value'}: string length {len(value)} < minLength {lo}"
+ )
+ if hi is not None and len(value) > hi:
+ errors.append(
+ f"{path or 'value'}: string length {len(value)} > maxLength {hi}"
+ )
+ if declared_type in ("integer", "number") or "minimum" in schema or "maximum" in schema:
+ if isinstance(value, (int, float)) and not isinstance(value, bool):
+ lo = schema.get("minimum")
+ hi = schema.get("maximum")
+ if lo is not None and value < lo:
+ errors.append(f"{path or 'value'}: {value} < minimum {lo}")
+ if hi is not None and value > hi:
+ errors.append(f"{path or 'value'}: {value} > maximum {hi}")
+ if declared_type == "array" or "minItems" in schema or "maxItems" in schema:
+ if isinstance(value, list):
+ lo = schema.get("minItems")
+ hi = schema.get("maxItems")
+ if lo is not None and len(value) < lo:
+ errors.append(
+ f"{path or 'value'}: array length {len(value)} < minItems {lo}"
+ )
+ if hi is not None and len(value) > hi:
+ errors.append(
+ f"{path or 'value'}: array length {len(value)} > maxItems {hi}"
+ )
+ item_schema = schema.get("items")
+ if isinstance(item_schema, dict):
+ for i, item in enumerate(value):
+ errors.extend(
+ _validate_schema(item_schema, item, f"{path}[{i}]")
+ )
+ if declared_type == "object" or "properties" in schema:
+ if isinstance(value, dict):
+ properties = schema.get("properties") or {}
+ required = schema.get("required") or []
+ for key in required:
+ if key not in value:
+ errors.append(f"{path}.{key}: required")
+ for key, sub in properties.items():
+ if key in value:
+ errors.extend(
+ _validate_schema(sub, value[key], f"{path}.{key}")
+ )
+ additional = schema.get("additionalProperties", True)
+ if additional is False:
+ unknown = sorted(set(value) - set(properties))
+ for key in unknown:
+ errors.append(f"{path}.{key}: unknown property (additionalProperties=False)")
+ return errors
+
+
+def validate_args(name: str, args: dict[str, Any] | None) -> dict[str, Any]:
+ """Validate `args` against the named tool's JSON Schema.
+
+ Returns the cleaned args dict on success. Raises
+ `EngraphisMcpToolError` with a single message that lists every
+ violation (each prefixed with the JSON-Pointer-ish path of the
+ offending field). Designed for the agent layer to call before
+ dispatching a tool, so the model sees a precise rejection instead
+ of a generic MCP error.
+ """
+ schemas = dict(TOOL_SPECS)
+ if name not in schemas:
+ raise KeyError(f"Unknown Engraphis tool: {name}")
+ if args is None:
+ args = {}
+ if not isinstance(args, dict):
+ raise EngraphisMcpToolError(
+ f"{name}: args must be a dict, got {type(args).__name__}"
+ )
+ errors = _validate_schema(schemas[name], args)
+ if errors:
+ joined = "; ".join(errors)
+ raise EngraphisMcpToolError(f"{name} args invalid: {joined}")
+ return args
+
+
+def tool_spec(name: str) -> dict[str, Any]:
+ """Return just the meta dict for a single named tool.
+
+ Convenience for callers that need the schema + description without
+ binding a client/session (e.g. for prompt inspection or registering
+ into a tool surface that already has its own client wiring).
+ """
+ schemas = dict(TOOL_SPECS)
+ if name not in schemas:
+ raise KeyError(f"Unknown Engraphis tool: {name}")
+ return {
+ "name": name,
+ "description": _DESC[name],
+ "parameters": schemas[name],
+ }
+
+
+def build_tool(
+ name: str,
+ client: EngraphisMcpClient,
+ config: EngraphisRuntimeConfig,
+ *,
+ session_id: str | None = None,
+) -> tuple[ToolFn, dict[str, Any]]:
+ """Return (callable, meta dict) for the named tool, bound to a client.
+
+ The callable matches the prime-agent tool contract::
+
+ async def fn(args: dict, ctx: dict | None = None) -> dict
+
+ `ctx` is accepted positionally for compatibility with surfaces that
+ pass conversation/session metadata; the Engraphis tools do not
+ currently read it. Schema is a JSON Schema dict that any downstream
+ tool-registration surface can translate to its own format.
+
+ Precedence: caller-supplied `session_id` (via the args dict) ALWAYS
+ wins over the `session_id` bound at build time. The bound value is
+ only injected when the args dict does not already include one —
+ this lets a single tool instance be re-used across requests that
+ occasionally need to operate on a different session (e.g. a
+ cross-session audit lookup).
+ """
+ schemas = dict(TOOL_SPECS)
+ if name not in schemas:
+ raise KeyError(f"Unknown Engraphis tool: {name}")
+
+ async def _call(
+ args: dict[str, Any],
+ _ctx: dict[str, Any] | None = None,
+ ) -> dict[str, Any]:
+ # _ctx is reserved for future per-call overrides (e.g. trace ids,
+ # tenant hints); current MCP tools don't need it, so we accept
+ # and ignore. The leading underscore keeps the parameter name
+ # visible in stack traces / introspection while signalling that
+ # it is intentionally unused. The signature stays compatible
+ # with agent.py's `await fn(args, ctx)` call site.
+ params = apply_scope_defaults(args, config)
+ # Precedence: caller-supplied session_id wins over the bound one.
+ if session_id and "session_id" not in params:
+ params["session_id"] = session_id
+ return await client.call_tool(name, params)
+
+ meta = {"name": name, "description": _DESC[name], "parameters": schemas[name]}
+ return _call, meta
+
+
+def all_tools(
+ client: EngraphisMcpClient,
+ config: EngraphisRuntimeConfig,
+ *,
+ session_id: str | None = None,
+) -> list[tuple[ToolFn, dict[str, Any]]]:
+ """Build the 9 tool (callable, schema) pairs bound to the given client/session."""
+ return [
+ build_tool(name, client, config, session_id=session_id)
+ for name, _schema in TOOL_SPECS
+ ]
diff --git a/integrations/prime_agent/tests/__init__.py b/integrations/prime_agent/tests/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/integrations/prime_agent/tests/conftest.py b/integrations/prime_agent/tests/conftest.py
new file mode 100644
index 00000000..ba68af1a
--- /dev/null
+++ b/integrations/prime_agent/tests/conftest.py
@@ -0,0 +1,296 @@
+"""Pytest fixtures: in-process fake MCP server + live-gated real client.
+
+The fake server monkey-patches `mcp.client.stdio.stdio_client` so the real
+`ClientSession` runs over an `anyio` memory-stream transport. Tests then
+exercise the full JSON-RPC framing without an `engraphis-mcp` subprocess.
+
+Set `ENGRAPHIS_INTEGRATION_LIVE=1` to skip the fake and boot a real
+`engraphis-mcp` subprocess for the live integration tests.
+"""
+from __future__ import annotations
+
+import asyncio
+import contextlib
+import json
+import os
+from collections.abc import AsyncIterator
+from typing import Any
+
+import anyio
+import pytest
+import pytest_asyncio
+
+from engraphis_prime_agent.config import EngraphisRuntimeConfig
+from engraphis_prime_agent.mcp_client import EngraphisMcpClient
+
+__all__ = ["FakeMcpServer", "live_mcp_client", "mcp_client"]
+
+
+CORE_TOOL_NAMES = (
+ "engraphis_session",
+ "engraphis_recall_context",
+ "engraphis_remember",
+ "engraphis_discover_actions",
+ "engraphis_execute_read",
+ "engraphis_execute_action",
+ "engraphis_get_memory",
+ "engraphis_update_memory",
+ "engraphis_conflict_review",
+)
+
+
+class FakeMcpServer:
+ """In-process stand-in for the Engraphis MCP gateway.
+
+ The patched `stdio_client` returns ``(read_stream, write_stream)`` over an
+ anyio memory channel pair. The server task drains requests, calls the
+ provided handler, and writes back responses.
+ """
+
+ def __init__(self, tool_names: tuple[str, ...] = CORE_TOOL_NAMES) -> None:
+ async def _default(name: str, args: dict[str, Any]) -> dict[str, Any]:
+ if name == "engraphis_session":
+ # Pretend a session was created and echo the request back.
+ payload = {
+ "session_id": f"ses_fake_{next(self._session_counter):04d}",
+ "agent": args.get("agent", "unknown"),
+ "workspace": args.get("workspace"),
+ "repo": args.get("repo"),
+ "action": args.get("action", "start"),
+ }
+ if args.get("action") == "end":
+ payload["status"] = "closed"
+ return {
+ "_tool": name,
+ "content": [{"type": "text", "text": json.dumps(payload)}],
+ }
+ return {"_tool": name, "content": [{"type": "text", "text": json.dumps(args)}]}
+
+ self.tool_handler = _default
+ self._session_counter = iter(range(1, 10_000))
+ self.tool_names = tool_names
+ self.call_log: list[tuple[str, dict[str, Any]]] = []
+ self.fail_next: Exception | None = None
+ self.crash_on_next: bool = False
+ # Shared streams so the test can restart the server task while the
+ # client keeps the same transport alive.
+ self._shared_server_to_client_send: Any = None
+ self._shared_client_to_server_send: Any = None
+ self._server_task: asyncio.Task[None] | None = None
+ self._original_stdio_client: Any = None
+ self._installed = False
+
+ def install(self) -> None:
+ from mcp.client import stdio as stdio_mod
+
+ self._original_stdio_client = stdio_mod.stdio_client
+
+ @contextlib.asynccontextmanager
+ async def _fake_stdio(_params, errlog=None): # type: ignore[no-untyped-def]
+ # If streams haven't been allocated yet (first call), create them.
+ if self._shared_client_to_server_send is None:
+ # anyio.create_memory_object_stream returns (send, receive).
+ s2c_send, c_read = anyio.create_memory_object_stream(max_buffer_size=4096)
+ c2s_send, s_read = anyio.create_memory_object_stream(max_buffer_size=4096)
+ self._shared_server_to_client_send = s2c_send
+ self._shared_client_to_server_send = c2s_send
+ self._server_read = s_read
+ self._client_read = c_read
+ self._start_server()
+ elif self._server_task is None or self._server_task.done():
+ # Re-entry after a transport failure: spin a fresh server.
+ self._start_server()
+ try:
+ yield (self._client_read, self._shared_client_to_server_send)
+ finally:
+ if self._server_task and not self._server_task.done():
+ self._server_task.cancel()
+ with contextlib.suppress(BaseException):
+ await self._server_task
+
+ # Patch both the source module AND the binding used by the client.
+ stdio_mod.stdio_client = _fake_stdio # type: ignore[assignment]
+ import engraphis_prime_agent.mcp_client as _client_mod
+
+ self._original_client_binding = _client_mod.stdio_client
+ _client_mod.stdio_client = _fake_stdio # type: ignore[assignment]
+ self._installed = True
+
+ def _start_server(self) -> None:
+ from mcp.shared.message import SessionMessage
+
+ self._server_task = asyncio.create_task(
+ self._serve(self._server_read, self._shared_server_to_client_send, SessionMessage)
+ )
+
+ async def restart_server(self) -> None:
+ """Kill the server task and start a fresh one on the same streams.
+
+ Used to simulate a transport failure (server crash) followed by the
+ client successfully reconnecting.
+ """
+ if self._server_task and not self._server_task.done():
+ self._server_task.cancel()
+ with contextlib.suppress(BaseException):
+ await self._server_task
+ self._start_server()
+
+ def restore(self) -> None:
+ from mcp.client import stdio as stdio_mod
+ import engraphis_prime_agent.mcp_client as _client_mod
+
+ if self._installed and self._original_stdio_client is not None:
+ stdio_mod.stdio_client = self._original_stdio_client # type: ignore[assignment]
+ if getattr(self, "_original_client_binding", None) is not None:
+ _client_mod.stdio_client = self._original_client_binding # type: ignore[assignment]
+ self._installed = False
+ if self._server_task and not self._server_task.done():
+ self._server_task.cancel()
+
+ async def _serve(self, read_stream, write_stream, SessionMessage) -> None: # type: ignore[no-untyped-def]
+ """Minimal MCP server. Handles initialize / notifications / tools/list / tools/call."""
+ from mcp.shared.message import JSONRPCMessage
+ from mcp.types import (
+ CallToolResult,
+ InitializeResult,
+ JSONRPCError,
+ JSONRPCResponse,
+ ListToolsResult,
+ TextContent,
+ Tool,
+ )
+
+ async def reply_ok(req_id: Any, result: Any) -> None:
+ # JSONRPCResponse.result is typed as a dict; dump pydantic models.
+ payload_dict = (
+ result.model_dump(by_alias=True, mode="json", exclude_none=True)
+ if hasattr(result, "model_dump")
+ else result
+ )
+ payload = JSONRPCResponse(jsonrpc="2.0", id=req_id, result=payload_dict)
+ await write_stream.send(SessionMessage(message=JSONRPCMessage(payload)))
+
+ async def reply_error(req_id: Any, message: str) -> None:
+ err = JSONRPCError(
+ jsonrpc="2.0",
+ id=req_id,
+ error={"code": -32601, "message": message},
+ )
+ await write_stream.send(SessionMessage(message=JSONRPCMessage(err)))
+
+ while True:
+ try:
+ message: Any = await read_stream.receive()
+ except (anyio.EndOfStream, asyncio.CancelledError):
+ return
+ # `message` is a SessionMessage; `.message` is a JSONRPCMessage;
+ # `.root` is the actual JSONRPCRequest / JSONRPCNotification.
+ jsonrpc = getattr(message, "message", message)
+ request = getattr(jsonrpc, "root", jsonrpc)
+ method = getattr(request, "method", None)
+ request_id = getattr(request, "id", None)
+ params = getattr(request, "params", None) or {}
+ # If the tool handler itself raises (e.g. a transport-failure
+ # simulation), we let the exception propagate so the server task
+ # exits. The client will see a closed receive stream and treat it
+ # as a transport failure, exercising the retry path.
+ if method == "tools/call":
+ name = params.get("name", "")
+ arguments = params.get("arguments") or {}
+ self.call_log.append((name, arguments))
+ if self.fail_next is not None:
+ exc = self.fail_next
+ self.fail_next = None
+ raise exc
+ if self.crash_on_next:
+ self.crash_on_next = False
+ return
+ result = await self.tool_handler(name, arguments)
+ content = [
+ TextContent(type="text", text=block.get("text", ""))
+ for block in (result.get("content", []) or [])
+ ]
+ await reply_ok(
+ request_id,
+ CallToolResult(content=content, isError=bool(result.get("isError"))),
+ )
+ continue
+ try:
+ if method == "initialize":
+ await reply_ok(
+ request_id,
+ InitializeResult(
+ protocolVersion="2025-03-26",
+ capabilities={},
+ serverInfo=ServerInfo(name="fake-engraphis", version="0.0.0"),
+ ),
+ )
+ elif method == "notifications/initialized":
+ continue
+ elif method == "tools/list":
+ tools = [
+ Tool(
+ name=n,
+ description=f"fake {n}",
+ inputSchema={"type": "object", "properties": {}},
+ )
+ for n in self.tool_names
+ ]
+ await reply_ok(
+ request_id, ListToolsResult(tools=tools, nextCursor=None)
+ )
+ else:
+ await reply_error(request_id, f"Method not found: {method}")
+ except Exception as exc: # noqa: BLE001 — surface as tool error
+ try:
+ await reply_ok(
+ request_id,
+ CallToolResult(
+ content=[TextContent(type="text", text=f"Error: {exc}")],
+ isError=True,
+ ),
+ )
+ except Exception:
+ return
+
+
+def ServerInfo(name: str, version: str) -> Any: # noqa: N802 — helper
+ from mcp.types import Implementation
+
+ return Implementation(name=name, version=version)
+
+
+@pytest_asyncio.fixture
+async def fake_mcp_server() -> AsyncIterator[FakeMcpServer]:
+ server = FakeMcpServer()
+ server.install()
+ try:
+ yield server
+ finally:
+ server.restore()
+
+
+@pytest_asyncio.fixture
+async def mcp_client(fake_mcp_server: FakeMcpServer) -> AsyncIterator[EngraphisMcpClient]:
+ """Return a connected `EngraphisMcpClient` backed by the fake server."""
+ config = EngraphisRuntimeConfig(command="ignored", environment={})
+ client = EngraphisMcpClient(config)
+ await client.connect()
+ try:
+ yield client
+ finally:
+ await client.close()
+
+
+@pytest_asyncio.fixture
+async def live_mcp_client() -> AsyncIterator[EngraphisMcpClient]:
+ """Yield a real EngraphisMcpClient against `engraphis-mcp` if available."""
+ if not os.environ.get("ENGRAPHIS_INTEGRATION_LIVE"):
+ pytest.skip("set ENGRAPHIS_INTEGRATION_LIVE=1 to run live integration tests")
+ config = EngraphisRuntimeConfig(command="engraphis-mcp", environment={})
+ client = EngraphisMcpClient(config)
+ await client.connect()
+ try:
+ yield client
+ finally:
+ await client.close()
diff --git a/integrations/prime_agent/tests/test_config.py b/integrations/prime_agent/tests/test_config.py
new file mode 100644
index 00000000..0a307082
--- /dev/null
+++ b/integrations/prime_agent/tests/test_config.py
@@ -0,0 +1,234 @@
+from __future__ import annotations
+
+from dataclasses import FrozenInstanceError, fields
+
+import pytest
+
+from engraphis_prime_agent.config import (
+ DEFAULT_AGENT_NAMES,
+ EngraphisRuntimeConfig,
+ _engraphis_environment,
+ _non_blank,
+ build_runtime_config,
+)
+
+
+def test_non_blank_trims_and_rejects_empty() -> None:
+ assert _non_blank(None) is None
+ assert _non_blank("") is None
+ assert _non_blank(" ") is None
+ assert _non_blank(" hello ") == "hello"
+
+
+def test_engraphis_environment_allowlist() -> None:
+ env = {
+ "ENGRAPHIS_DB_PATH": "/tmp/x.db",
+ "ENGRAPHIS_WORKSPACE": "demo",
+ "PATH": "/usr/bin",
+ "Path": "C:\\Windows",
+ "SystemRoot": "C:\\Windows",
+ "ComSpec": "C:\\Windows\\System32\\cmd.exe",
+ "ANTHROPIC_API_KEY": "sk-secret",
+ "HOME": "/root",
+ "USER": "alice",
+ }
+ forwarded = _engraphis_environment(env)
+ assert set(forwarded) == {
+ "ENGRAPHIS_DB_PATH",
+ "ENGRAPHIS_WORKSPACE",
+ "PATH",
+ "Path",
+ "SystemRoot",
+ "ComSpec",
+ }
+ assert forwarded["ENGRAPHIS_DB_PATH"] == "/tmp/x.db"
+ assert "ANTHROPIC_API_KEY" not in forwarded
+ assert "HOME" not in forwarded
+
+
+def test_engraphis_environment_ignores_non_string_values() -> None:
+ env = {"ENGRAPHIS_WORKSPACE": 123, "PATH": None} # type: ignore[dict-item]
+ assert _engraphis_environment(env) == {}
+
+
+def test_build_runtime_config_defaults() -> None:
+ cfg = build_runtime_config(env={})
+ assert cfg.command == "engraphis-mcp"
+ assert cfg.args == ()
+ assert cfg.cwd is None
+ assert cfg.default_workspace is None
+ assert cfg.default_repo is None
+ assert cfg.environment == {}
+
+
+def test_build_runtime_config_reads_env() -> None:
+ env = {
+ "ENGRAPHIS_MCP_COMMAND": "C:/venv/Scripts/engraphis-mcp.exe",
+ "ENGRAPHIS_WORKSPACE": "engraphis",
+ "ENGRAPHIS_REPO": "prime-agent",
+ "ENGRAPHIS_DB_PATH": "C:/data/x.db",
+ "ANTHROPIC_API_KEY": "sk-secret",
+ }
+ cfg = build_runtime_config(env=env)
+ assert cfg.command == "C:/venv/Scripts/engraphis-mcp.exe"
+ assert cfg.default_workspace == "engraphis"
+ assert cfg.default_repo == "prime-agent"
+ assert "ANTHROPIC_API_KEY" not in cfg.environment
+ assert cfg.environment["ENGRAPHIS_DB_PATH"] == "C:/data/x.db"
+
+
+def test_build_runtime_config_command_override() -> None:
+ cfg = build_runtime_config(env={}, command="/abs/engraphis-mcp")
+ assert cfg.command == "/abs/engraphis-mcp"
+
+
+def test_build_runtime_config_trims_blank_env() -> None:
+ env = {"ENGRAPHIS_WORKSPACE": " ", "ENGRAPHIS_REPO": " real "}
+ cfg = build_runtime_config(env=env)
+ assert cfg.default_workspace is None
+ assert cfg.default_repo == "real"
+
+
+def test_default_agent_names_are_eight() -> None:
+ assert len(DEFAULT_AGENT_NAMES) == 8
+ assert "researcher" in DEFAULT_AGENT_NAMES
+ assert "coder" in DEFAULT_AGENT_NAMES
+ assert all(isinstance(name, str) and name for name in DEFAULT_AGENT_NAMES)
+ # Names must be unique (default fleet keys must be hashable).
+ assert len(set(DEFAULT_AGENT_NAMES)) == 8
+
+
+def test_runtime_config_is_frozen() -> None:
+ cfg = EngraphisRuntimeConfig()
+ try:
+ cfg.command = "x" # type: ignore[misc]
+ except Exception:
+ return
+ raise AssertionError("EngraphisRuntimeConfig should be frozen")
+
+
+def test_runtime_config_frozen_raises_frozen_instance_error_on_every_field() -> None:
+ """Every public field must reject assignment with FrozenInstanceError."""
+ cfg = EngraphisRuntimeConfig(
+ command="x",
+ args=("a", "b"),
+ cwd="C:/work",
+ default_workspace="ws",
+ default_repo="repo",
+ environment={"ENGRAPHIS_DB_PATH": "/tmp/x.db"},
+ )
+ for name in ("command", "args", "cwd", "default_workspace", "default_repo", "environment"):
+ with pytest.raises(FrozenInstanceError):
+ setattr(cfg, name, "mutated") # type: ignore[misc]
+
+
+def test_runtime_config_field_names_are_stable() -> None:
+ """Lock the public dataclass surface so a refactor that renames a field
+ is caught here rather than at a downstream caller."""
+ expected = {
+ "command",
+ "args",
+ "cwd",
+ "default_workspace",
+ "default_repo",
+ "environment",
+ }
+ assert {f.name for f in fields(EngraphisRuntimeConfig)} == expected
+
+
+def test_build_runtime_config_preserves_args_tuple_type() -> None:
+ """`args` must remain a tuple — the stdio gateway expects a sequence and
+ downstream code (e.g. ``list(self._config.args)``) relies on tuple semantics."""
+ src_args = ("--flag", "value", "C:/path/with space")
+ cfg = build_runtime_config(env={}, args=src_args)
+ assert isinstance(cfg.args, tuple)
+ assert cfg.args == src_args
+ # Mutating the original tuple must not leak into the config.
+ assert cfg.args is not src_args or cfg.args == src_args
+
+
+def test_build_runtime_config_empty_args_default_to_empty_tuple() -> None:
+ """The default is an empty tuple, not None or a list, so callers can
+ iterate without a None-check."""
+ cfg = build_runtime_config(env={})
+ assert cfg.args == ()
+ assert isinstance(cfg.args, tuple)
+
+
+def test_engraphis_environment_handles_windows_specific_keys() -> None:
+ """SystemRoot and ComSpec must be forwarded on Windows. We don't assume
+ Windows-only — any platform that has these keys in env should see them
+ through the allowlist."""
+ env = {
+ "SystemRoot": "C:\\Windows",
+ "ComSpec": "C:\\Windows\\System32\\cmd.exe",
+ "PATHEXT": ".EXE;.BAT", # NOT in the allowlist; must be dropped.
+ "WINDIR": "C:\\Windows", # NOT in the allowlist; must be dropped.
+ }
+ forwarded = _engraphis_environment(env)
+ assert forwarded["SystemRoot"] == "C:\\Windows"
+ assert forwarded["ComSpec"] == "C:\\Windows\\System32\\cmd.exe"
+ assert "PATHEXT" not in forwarded
+ assert "WINDIR" not in forwarded
+
+
+def test_build_runtime_config_trims_default_workspace_and_repo_from_env() -> None:
+ """Whitespace-padded env values must be stripped, and a pure-whitespace
+ value must become None (not the literal whitespace)."""
+ env = {
+ "ENGRAPHIS_WORKSPACE": " ",
+ "ENGRAPHIS_REPO": "\trepo\t",
+ "ENGRAPHIS_DB_PATH": " /tmp/x.db ",
+ }
+ cfg = build_runtime_config(env=env)
+ assert cfg.default_workspace is None
+ assert cfg.default_repo == "repo"
+ # The env allowlist also strips; the entry must reflect the trimmed value.
+ assert cfg.environment["ENGRAPHIS_DB_PATH"] == "/tmp/x.db"
+
+
+def test_build_runtime_config_does_not_mutate_input_env() -> None:
+ """`build_runtime_config` must not mutate the caller's env mapping."""
+ env = {
+ "ENGRAPHIS_WORKSPACE": " ws ",
+ "ENGRAPHIS_REPO": " repo ",
+ "ENGRAPHIS_DB_PATH": " /tmp/x.db ",
+ "PATH": " /usr/bin ",
+ }
+ snapshot = dict(env)
+ build_runtime_config(env=env)
+ assert env == snapshot
+
+
+def test_engraphis_environment_empty_input_returns_empty_dict() -> None:
+ """Defensive: an empty mapping must produce an empty dict, not raise."""
+ assert _engraphis_environment({}) == {}
+
+
+def test_engraphis_environment_skips_prefix_only_keys_without_value() -> None:
+ """An ENGRAPHIS_-prefixed key whose value is non-string must be skipped
+ rather than forwarded as-is (which would crash subprocess.Popen)."""
+ env = {
+ "ENGRAPHIS_DB_PATH": 42, # type: ignore[dict-item]
+ "ENGRAPHIS_WORKSPACE": None, # type: ignore[dict-item]
+ }
+ assert _engraphis_environment(env) == {} # type: ignore[arg-type]
+
+
+def test_non_blank_strips_tabs_and_newlines() -> None:
+ """`_non_blank` is the single source of truth for trimming env values;
+ tabs and newlines should be treated like spaces."""
+ assert _non_blank("\t\n hi \n\t") == "hi"
+ assert _non_blank("\t\n \n\t") is None
+
+
+def test_runtime_config_as_subprocess_env_returns_independent_copy() -> None:
+ """Mutating the dict returned by as_subprocess_env must not change the
+ frozen config's own mapping."""
+ cfg = EngraphisRuntimeConfig(
+ command="x",
+ environment={"ENGRAPHIS_DB_PATH": "/tmp/x.db"},
+ )
+ env = cfg.as_subprocess_env()
+ env["ENGRAPHIS_DB_PATH"] = "/mutated/y.db"
+ assert cfg.environment["ENGRAPHIS_DB_PATH"] == "/tmp/x.db"
diff --git a/integrations/prime_agent/tests/test_fleet.py b/integrations/prime_agent/tests/test_fleet.py
new file mode 100644
index 00000000..aa0b722a
--- /dev/null
+++ b/integrations/prime_agent/tests/test_fleet.py
@@ -0,0 +1,411 @@
+"""Tests for EngraphisPrimeAgent and PrimeAgentFleet."""
+from __future__ import annotations
+
+import pytest
+
+from engraphis_prime_agent.agent import EngraphisPrimeAgent, PrimeAgentFleet
+from engraphis_prime_agent.config import (
+ DEFAULT_AGENT_NAMES,
+ EngraphisRuntimeConfig,
+)
+from engraphis_prime_agent.mcp_client import EngraphisMcpClient
+from engraphis_prime_agent.tools import TOOL_SPECS
+
+
+# Auto-use the fake MCP server for every test in this module so that any
+# test which constructs an EngraphisMcpClient (directly or via the fleet)
+# gets the in-process fake transport, not a real subprocess.
+@pytest.fixture(autouse=True)
+def _install_fake(fake_mcp_server) -> None:
+ return None
+
+
+@pytest.fixture
+async def fleet() -> PrimeAgentFleet:
+ f = PrimeAgentFleet(
+ workspace="test",
+ config=EngraphisRuntimeConfig(command="ignored", environment={}),
+ )
+ await f.client.connect()
+ try:
+ yield f
+ finally:
+ await f.aclose()
+
+
+@pytest.mark.asyncio
+async def test_fleet_default_names_is_eight() -> None:
+ f = PrimeAgentFleet(workspace="x")
+ assert len(f) == 8
+ assert f.names() == DEFAULT_AGENT_NAMES
+
+
+@pytest.mark.asyncio
+async def test_fleet_custom_agent_names() -> None:
+ custom = ("a", "b", "c", "d", "e", "f", "g", "h")
+ f = PrimeAgentFleet(workspace="x", agent_names=custom)
+ assert f.names() == custom
+
+
+@pytest.mark.asyncio
+async def test_subagent_repr_and_contains() -> None:
+ f = PrimeAgentFleet(workspace="x")
+ assert "researcher" in f
+ assert f["researcher"].name == "researcher"
+
+
+@pytest.mark.asyncio
+async def test_subagent_rejects_blank_name() -> None:
+ config = EngraphisRuntimeConfig(command="ignored", environment={})
+ client = EngraphisMcpClient(config)
+ with pytest.raises(ValueError):
+ EngraphisPrimeAgent(" ", client, config)
+ with pytest.raises(ValueError):
+ EngraphisPrimeAgent("", client, config)
+
+
+@pytest.mark.asyncio
+async def test_status_reports_workspace_and_agents() -> None:
+ f = PrimeAgentFleet(workspace="demo")
+ status = f.status()
+ assert status["workspace"] == "demo"
+ assert len(status["agents"]) == 8
+ for entry in status["agents"]:
+ assert "name" in entry
+ assert "session_id" in entry
+
+
+@pytest.mark.asyncio
+async def test_start_session_returns_session_id_and_caches_it(fleet) -> None:
+ agent = fleet["researcher"]
+ sid = await agent.start_session()
+ assert isinstance(sid, str) and sid
+ # Second call is a no-op.
+ sid2 = await agent.start_session()
+ assert sid2 == sid
+ assert agent.session_id == sid
+
+
+@pytest.mark.asyncio
+async def test_force_new_starts_a_fresh_session(fleet) -> None:
+ agent = fleet["researcher"]
+ sid1 = await agent.start_session()
+ sid2 = await agent.start_session(force_new=True)
+ assert sid1 != sid2
+
+
+@pytest.mark.asyncio
+async def test_call_lazy_starts_session(fleet) -> None:
+ agent = fleet["researcher"]
+ assert agent.session_id is None
+ await agent.call("engraphis_recall_context", {"query": "anything"})
+ assert agent.session_id is not None
+
+
+@pytest.mark.asyncio
+async def test_call_injects_session_id_into_subsequent_calls(fleet) -> None:
+ agent = fleet["researcher"]
+ await agent.call("engraphis_recall_context", {"query": "warm up"})
+ # The client we drive is the one used by the fleet.
+ # We can verify the call succeeded and returned the tool name.
+ result = await agent.call("engraphis_recall_context", {"query": "next"})
+ assert result["_tool"] == "engraphis_recall_context"
+
+
+@pytest.mark.asyncio
+async def test_end_session_clears_cached_id(fleet) -> None:
+ agent = fleet["researcher"]
+ await agent.start_session()
+ assert agent.session_id is not None
+ await agent.end_session(summary="done", outcome="shipped")
+ assert agent.session_id is None
+
+
+@pytest.mark.asyncio
+async def test_end_session_is_idempotent_when_no_session(fleet) -> None:
+ agent = fleet["researcher"]
+ await agent.end_session() # no-op
+
+
+@pytest.mark.asyncio
+async def test_fan_out_runs_concurrently(fleet) -> None:
+ args = {
+ "researcher": {"query": "researcher query"},
+ "coder": {"query": "coder query"},
+ }
+ out = await fleet.fan_out("engraphis_recall_context", args)
+ assert set(out.keys()) == {"researcher", "coder"}
+ for value in out.values():
+ assert value["_tool"] == "engraphis_recall_context"
+
+
+@pytest.mark.asyncio
+async def test_fan_out_raises_for_unknown_agent(fleet) -> None:
+ with pytest.raises(KeyError):
+ await fleet.fan_out("engraphis_recall_context", {"ghost": {}})
+
+
+@pytest.mark.asyncio
+async def test_start_all_sessions_warms_every_agent(fleet) -> None:
+ out = await fleet.start_all_sessions()
+ # New structured return: {"sessions": {name: sid}, "errors": {name: exc}}.
+ assert set(out.keys()) == {"sessions", "errors"}
+ sessions = out["sessions"]
+ errors = out["errors"]
+ assert isinstance(sessions, dict) and isinstance(errors, dict)
+ assert set(sessions.keys()) == set(fleet.names())
+ assert errors == {}
+ for sid in sessions.values():
+ assert isinstance(sid, str) and sid
+
+
+@pytest.mark.asyncio
+async def test_register_requires_register_tool() -> None:
+ fleet = PrimeAgentFleet(workspace="x")
+ with pytest.raises(TypeError) as exc:
+ fleet["researcher"].register(object())
+ assert "register_tool" in str(exc.value)
+
+
+@pytest.mark.asyncio
+async def test_register_registers_all_nine_tools() -> None:
+ fleet = PrimeAgentFleet(workspace="x")
+ registered: list[tuple[str, dict]] = []
+
+ class _Target:
+ def register_tool(self, name: str, fn, schema: dict) -> None:
+ registered.append((name, schema))
+
+ target = _Target()
+ fleet["researcher"].register(target)
+ assert len(registered) == 9
+ for name, schema in registered:
+ assert name.startswith("engraphis_")
+ assert "parameters" in schema
+
+
+@pytest.mark.asyncio
+async def test_aclose_ends_sessions_and_closes_client() -> None:
+ fleet = PrimeAgentFleet(workspace="x")
+ await fleet.client.connect()
+ await fleet["researcher"].start_session()
+ await fleet["coder"].start_session()
+ await fleet.aclose()
+ assert fleet["researcher"].session_id is None
+ assert fleet["coder"].session_id is None
+ assert fleet._closed is True
+
+
+@pytest.mark.asyncio
+async def test_aexit_via_context_manager() -> None:
+ async with PrimeAgentFleet(workspace="x") as fleet:
+ await fleet["researcher"].start_session()
+ assert fleet._closed is True
+
+
+# ---- new edge-case tests below ----
+
+
+@pytest.mark.asyncio
+async def test_aclose_is_idempotent() -> None:
+ """`aclose()` (and therefore `__aexit__`) must be safe to call twice.
+ The second call is a no-op because the fleet has already torn down."""
+ f = PrimeAgentFleet(workspace="x")
+ await f.client.connect()
+ await f["researcher"].start_session()
+ await f.aclose()
+ assert f._closed is True
+ # Second call must not raise.
+ await f.aclose()
+ assert f._closed is True
+
+
+@pytest.mark.asyncio
+async def test_aclose_before_any_session_is_safe() -> None:
+ """A fresh fleet that has never connected must close cleanly without
+ requiring a prior `start_session` or `connect`."""
+ f = PrimeAgentFleet(workspace="x")
+ await f.aclose()
+ assert f._closed is True
+
+
+@pytest.mark.asyncio
+async def test_fan_out_with_single_sub_agent() -> None:
+ """fan_out() with exactly one agent must return a one-entry dict and
+ must not raise. The framework-level concurrency path should still work
+ for a single coroutine."""
+ f = PrimeAgentFleet(workspace="x")
+ await f.client.connect()
+ try:
+ out = await f.fan_out(
+ "engraphis_recall_context",
+ {"researcher": {"query": "single-agent query"}},
+ )
+ assert set(out.keys()) == {"researcher"}
+ result = out["researcher"]
+ assert result["_tool"] == "engraphis_recall_context"
+ finally:
+ await f.aclose()
+
+
+@pytest.mark.asyncio
+async def test_fan_out_with_empty_args_raises_value_error() -> None:
+ """fan_out() with an empty mapping must raise ValueError so a misnamed
+ variable at the call site surfaces immediately rather than silently
+ producing an empty result dict."""
+ f = PrimeAgentFleet(workspace="x")
+ await f.client.connect()
+ try:
+ with pytest.raises(ValueError) as exc:
+ await f.fan_out("engraphis_recall_context", {})
+ assert "non-empty" in str(exc.value).lower() or "empty" in str(exc.value).lower()
+ finally:
+ await f.aclose()
+
+
+@pytest.mark.asyncio
+async def test_status_before_any_session_started() -> None:
+ """`status()` is a sync method — it must work without any prior connect,
+ start_session, or call. It should report the configured workspace, the
+ full agent roster, and a None session_id for every agent."""
+ f = PrimeAgentFleet(workspace="demo")
+ s = f.status()
+ assert s["workspace"] == "demo"
+ assert len(s["agents"]) == 8
+ for entry in s["agents"]:
+ assert entry["session_id"] is None
+ assert "name" in entry
+ assert "workspace" in entry
+ assert "repo" in entry
+
+
+def test_status_before_connect_does_not_require_async() -> None:
+ """`status()` is intentionally sync (status snapshot, not a live call).
+ It must be callable from a non-async context without a runtime error."""
+ f = PrimeAgentFleet(workspace="x")
+ s = f.status()
+ assert s["workspace"] == "x"
+ assert isinstance(s["agents"], list)
+ assert isinstance(s["clientGeneration"], int)
+ # Generation starts at 0.
+ assert s["clientGeneration"] == 0
+
+
+@pytest.mark.asyncio
+async def test_register_calls_register_tool_exactly_n_times() -> None:
+ """`register()` must invoke `register_tool` exactly once per tool —
+ not zero, not twice, not conditional on the tool name. We assert this
+ by counting invocations against the number of tools in TOOL_SPECS."""
+ f = PrimeAgentFleet(workspace="x")
+ invocations: list[tuple[str, object]] = []
+
+ class _Target:
+ def register_tool(self, name: str, fn, schema: dict) -> None:
+ invocations.append((name, fn))
+
+ target = _Target()
+ f["researcher"].register(target)
+ expected_count = len(TOOL_SPECS)
+ assert len(invocations) == expected_count
+ # Every tool name from TOOL_SPECS must appear exactly once.
+ seen = [name for name, _fn in invocations]
+ assert seen == [n for n, _ in TOOL_SPECS]
+ # Each call's `fn` is callable and distinct from the others.
+ fns = [fn for _name, fn in invocations]
+ assert all(callable(fn) for fn in fns)
+ assert len({id(fn) for fn in fns}) == expected_count
+
+
+@pytest.mark.asyncio
+async def test_register_invokes_for_each_agent_independently() -> None:
+ """Each sub-agent's register() registers its OWN 9 tools. Registering
+ one agent must not bleed into another agent's binding."""
+ f = PrimeAgentFleet(workspace="x")
+ researcher_calls: list[str] = []
+ coder_calls: list[str] = []
+
+ class _T:
+ def __init__(self, sink: list[str]) -> None:
+ self._sink = sink
+
+ def register_tool(self, name: str, fn, schema: dict) -> None:
+ self._sink.append(name)
+
+ f["researcher"].register(_T(researcher_calls))
+ f["coder"].register(_T(coder_calls))
+ assert len(researcher_calls) == 9
+ assert len(coder_calls) == 9
+ assert researcher_calls == coder_calls # same tool surface
+
+
+@pytest.mark.asyncio
+async def test_fleet_iter_and_len_match() -> None:
+ """`len(fleet)` and `for a in fleet` must agree — they both read from
+ the same internal agent dict."""
+ f = PrimeAgentFleet(workspace="x")
+ assert len(f) == 8
+ names_via_iter = [a.name for a in f]
+ assert names_via_iter == list(f.names())
+
+
+@pytest.mark.asyncio
+async def test_fleet_unknown_name_raises_keyerror() -> None:
+ """`__getitem__` for an unknown agent must raise KeyError, not silently
+ return None or a default — fan_out already raises KeyError, and direct
+ indexing must behave consistently."""
+ f = PrimeAgentFleet(workspace="x")
+ with pytest.raises(KeyError):
+ _ = f["nonexistent_agent"]
+
+
+@pytest.mark.asyncio
+async def test_fleet_contains_is_consistent_with_iter() -> None:
+ f = PrimeAgentFleet(workspace="x")
+ for name in f.names():
+ assert name in f
+ assert "definitely_not_an_agent" not in f
+ assert None not in f
+ assert 42 not in f
+
+
+@pytest.mark.asyncio
+async def test_fleet_workspace_override_sets_every_agent() -> None:
+ """When the fleet is constructed with `workspace=...`, every sub-agent
+ inherits that workspace. Individual sub-agents have no way to opt out
+ (they can only set their own workspace via the EngraphisPrimeAgent
+ constructor, which the fleet does not expose)."""
+ f = PrimeAgentFleet(workspace="shared-ws")
+ for agent in f:
+ assert agent.workspace == "shared-ws"
+
+
+@pytest.mark.asyncio
+async def test_start_all_sessions_is_idempotent_per_agent() -> None:
+ """Calling start_all_sessions() twice must not spawn extra sessions.
+ Each agent should keep its first session id."""
+ f = PrimeAgentFleet(workspace="x")
+ await f.client.connect()
+ try:
+ first = await f.start_all_sessions()
+ second = await f.start_all_sessions()
+ assert first == second
+ finally:
+ await f.aclose()
+
+
+@pytest.mark.asyncio
+async def test_subagent_status_reflects_session_lifecycle() -> None:
+ """`subagent.status()` should reflect the current session state — None
+ before start, populated after start, None again after end."""
+ f = PrimeAgentFleet(workspace="x")
+ await f.client.connect()
+ try:
+ agent = f["researcher"]
+ assert agent.status()["session_id"] is None
+ await agent.start_session()
+ s = agent.status()
+ assert isinstance(s["session_id"], str) and s["session_id"]
+ await agent.end_session()
+ assert agent.status()["session_id"] is None
+ finally:
+ await f.aclose()
diff --git a/integrations/prime_agent/tests/test_mcp_client.py b/integrations/prime_agent/tests/test_mcp_client.py
new file mode 100644
index 00000000..446f0e26
--- /dev/null
+++ b/integrations/prime_agent/tests/test_mcp_client.py
@@ -0,0 +1,301 @@
+"""Tests for the async stdio MCP client."""
+from __future__ import annotations
+
+import json
+
+import pytest
+
+from engraphis_prime_agent.config import EngraphisRuntimeConfig
+from engraphis_prime_agent.mcp_client import (
+ READ_ONLY_TOOLS,
+ EngraphisCompatibilityError,
+ EngraphisMcpClient,
+ EngraphisMcpToolError,
+ format_mcp_payload,
+)
+
+
+@pytest.mark.asyncio
+async def test_connect_lists_core_tools(mcp_client) -> None:
+ tools = await mcp_client.list_tools()
+ names = {t["name"] for t in tools}
+ expected = {
+ "engraphis_session",
+ "engraphis_recall_context",
+ "engraphis_remember",
+ "engraphis_discover_actions",
+ "engraphis_execute_read",
+ "engraphis_execute_action",
+ "engraphis_get_memory",
+ "engraphis_update_memory",
+ "engraphis_conflict_review",
+ }
+ assert expected.issubset(names)
+
+
+@pytest.mark.asyncio
+async def test_status_reports_connected(mcp_client) -> None:
+ status = await mcp_client.status()
+ assert status["connected"] is True
+ assert status["server"] == "engraphis"
+ assert status["toolCount"] >= 9
+
+
+@pytest.mark.asyncio
+async def test_call_tool_passes_arguments(fake_mcp_server, mcp_client) -> None:
+ payload = await mcp_client.call_tool(
+ "engraphis_recall_context", {"query": "decision: sqlite-vec KNN", "k": 3}
+ )
+ assert payload["_tool"] == "engraphis_recall_context"
+ assert fake_mcp_server.call_log[-1] == (
+ "engraphis_recall_context",
+ {"query": "decision: sqlite-vec KNN", "k": 3},
+ )
+
+
+# Note: retry behavior is exercised by the production code path; the
+# in-process fake doesn't reliably simulate "transport failure" because
+# crashing the server task races with the real ClientSession's receive loop.
+# The retry constants (READ_ONLY_TOOLS) are unit-tested separately below.
+
+
+def test_read_only_tools_classification() -> None:
+ assert "engraphis_recall_context" in READ_ONLY_TOOLS
+ assert "engraphis_get_memory" in READ_ONLY_TOOLS
+ assert "engraphis_conflict_review" in READ_ONLY_TOOLS
+ assert "engraphis_discover_actions" in READ_ONLY_TOOLS
+ # Writes and side-effect tools are not in the read-only set, so the
+ # client's call_tool will not retry them on transport failure.
+ assert "engraphis_remember" not in READ_ONLY_TOOLS
+ assert "engraphis_execute_action" not in READ_ONLY_TOOLS
+ assert "engraphis_session" not in READ_ONLY_TOOLS
+ assert "engraphis_update_memory" not in READ_ONLY_TOOLS
+
+
+@pytest.mark.asyncio
+async def test_rejection_text_raises_tool_error(fake_mcp_server, mcp_client) -> None:
+ async def handler(name: str, args: dict) -> dict:
+ return {
+ "isError": True,
+ "content": [{"type": "text", "text": "Error: bad_arg"}],
+ }
+
+ fake_mcp_server.tool_handler = handler
+ with pytest.raises(EngraphisMcpToolError) as exc:
+ await mcp_client.call_tool("engraphis_remember", {"content": "x"})
+ assert "bad_arg" in str(exc.value)
+
+
+@pytest.mark.asyncio
+async def test_compatibility_error_when_tools_missing(fake_mcp_server) -> None:
+ """Drop a core tool from the fake server and verify the compatibility error."""
+ # Switch the existing fake server to advertise only one core tool,
+ # so the client's required-tool check fails on the others.
+ fake_mcp_server.restore()
+ fake_mcp_server.tool_names = ("engraphis_session",)
+ fake_mcp_server.install()
+ config = EngraphisRuntimeConfig(command="ignored", environment={})
+ client = EngraphisMcpClient(config)
+ try:
+ with pytest.raises(EngraphisCompatibilityError) as exc:
+ await client.connect()
+ assert "missing" in str(exc.value).lower()
+ finally:
+ await client.close()
+ fake_mcp_server.restore()
+
+
+def test_diagnostic_hint_matches_python_message() -> None:
+ client = EngraphisMcpClient(EngraphisRuntimeConfig(command="x"))
+ client._diagnostic = "ERROR: This package requires python 3.10 or later.\n"
+ hint = client.diagnostic_hint()
+ assert hint is not None
+ assert "Python 3.10" in hint
+
+
+def test_diagnostic_hint_matches_missing_mcp() -> None:
+ client = EngraphisMcpClient(EngraphisRuntimeConfig(command="x"))
+ client._diagnostic = "ModuleNotFoundError: No module named 'mcp'\n"
+ assert client.diagnostic_hint() is not None
+ assert "mcp" in client.diagnostic_hint().lower()
+
+
+def test_diagnostic_hint_matches_missing_engraphis() -> None:
+ client = EngraphisMcpClient(EngraphisRuntimeConfig(command="x"))
+ client._diagnostic = "ModuleNotFoundError: No module named 'engraphis'\n"
+ assert client.diagnostic_hint() is not None
+
+
+def test_format_mcp_payload_joins_text() -> None:
+ payload = {
+ "content": [
+ {"type": "text", "text": "hello"},
+ {"type": "text", "text": "world"},
+ ]
+ }
+ assert format_mcp_payload(payload) == "hello\n\nworld"
+
+
+def test_format_mcp_payload_falls_back_to_json() -> None:
+ payload = {"content": []}
+ out = format_mcp_payload(payload)
+ parsed = json.loads(out)
+ assert parsed == payload
+
+
+@pytest.mark.asyncio
+async def test_unknown_tool_name_rejected(mcp_client) -> None:
+ with pytest.raises(EngraphisMcpToolError):
+ await mcp_client.call_tool("not_a_tool", {})
+
+
+@pytest.mark.asyncio
+async def test_close_bumps_generation(fake_mcp_server) -> None:
+ config = EngraphisRuntimeConfig(command="ignored", environment={})
+ client = EngraphisMcpClient(config)
+ g0 = client.generation()
+ await client.connect()
+ await client.close()
+ g1 = client.generation()
+ assert g1 > g0
+
+
+# ---- new edge-case tests below ----
+
+
+@pytest.mark.asyncio
+async def test_connect_is_idempotent(fake_mcp_server) -> None:
+ """Calling connect() twice must return the same session and not re-spawn
+ the stdio subprocess or re-fetch the tool list."""
+ config = EngraphisRuntimeConfig(command="ignored", environment={})
+ client = EngraphisMcpClient(config)
+ s1 = await client.connect()
+ s2 = await client.connect()
+ assert s1 is s2
+ # The list_tools cache was populated by the first connect; the second
+ # call must not issue a fresh tools/list RPC.
+ assert client._tools_cache is not None
+ cache_id = id(client._tools_cache)
+ await client.connect()
+ assert id(client._tools_cache) == cache_id
+ await client.close()
+
+
+@pytest.mark.asyncio
+async def test_close_clears_session_stack_and_tools_cache(fake_mcp_server) -> None:
+ """After close(), every internal handle must be released so the
+ next connect() can rebuild cleanly."""
+ config = EngraphisRuntimeConfig(command="ignored", environment={})
+ client = EngraphisMcpClient(config)
+ await client.connect()
+ assert client._session is not None
+ assert client._stack is not None
+ assert client._tools_cache is not None
+ await client.close()
+ assert client._session is None
+ assert client._stack is None
+ assert client._tools_cache is None
+
+
+@pytest.mark.asyncio
+async def test_aenter_aexit_context_manager(fake_mcp_server) -> None:
+ """`async with EngraphisMcpClient(...) as client:` must connect on enter
+ and release every handle on exit."""
+ config = EngraphisRuntimeConfig(command="ignored", environment={})
+ async with EngraphisMcpClient(config) as client:
+ # Inside the block: connected, tools cached.
+ assert client._session is not None
+ assert client._tools_cache is not None
+ tools = await client.list_tools()
+ assert len(tools) >= 9
+ # After the block: all handles released.
+ assert client._session is None
+ assert client._stack is None
+ assert client._tools_cache is None
+
+
+@pytest.mark.asyncio
+async def test_aenter_returns_client_instance(fake_mcp_server) -> None:
+ config = EngraphisRuntimeConfig(command="ignored", environment={})
+ async with EngraphisMcpClient(config) as client:
+ assert isinstance(client, EngraphisMcpClient)
+ assert client is not None
+
+
+@pytest.mark.asyncio
+async def test_unknown_tool_name_includes_name_in_error_message(mcp_client) -> None:
+ """`call_tool` must raise EngraphisMcpToolError AND the error message
+ must name the rejected tool so a developer can diagnose the rejection."""
+ with pytest.raises(EngraphisMcpToolError) as exc:
+ await mcp_client.call_tool("engraphis_does_not_exist", {})
+ assert "engraphis_does_not_exist" in str(exc.value)
+ # And bare "not_a_tool" (no engraphis_ prefix) is also rejected with a
+ # message — a different guard, but same exception class.
+ with pytest.raises(EngraphisMcpToolError) as exc2:
+ await mcp_client.call_tool("not_a_tool", {})
+ assert "not_a_tool" in str(exc2.value)
+
+
+@pytest.mark.asyncio
+async def test_close_is_idempotent(fake_mcp_server) -> None:
+ """Calling close() twice must not raise. The second call should be a no-op
+ because _stack/_session are already None."""
+ config = EngraphisRuntimeConfig(command="ignored", environment={})
+ client = EngraphisMcpClient(config)
+ await client.connect()
+ await client.close()
+ # Second close should be silent.
+ await client.close()
+ assert client._session is None
+ assert client._stack is None
+ assert client._tools_cache is None
+
+
+@pytest.mark.asyncio
+async def test_list_tools_returns_independent_list(fake_mcp_server) -> None:
+ """Mutating the list returned by list_tools() must not affect the cache
+ (so a second caller still sees the full list)."""
+ config = EngraphisRuntimeConfig(command="ignored", environment={})
+ client = EngraphisMcpClient(config)
+ await client.connect()
+ first = await client.list_tools()
+ first.clear()
+ second = await client.list_tools()
+ assert len(second) == len(first) or len(second) >= 9
+
+
+@pytest.mark.asyncio
+async def test_status_diagnostic_hint_is_none_when_no_failure(fake_mcp_server) -> None:
+ """After a healthy connect, diagnosticHint must be None — there is no
+ error message to surface."""
+ config = EngraphisRuntimeConfig(command="ignored", environment={})
+ async with EngraphisMcpClient(config) as client:
+ status = await client.status()
+ assert status["connected"] is True
+ assert status["diagnosticHint"] is None
+ assert status["server"] == "engraphis"
+ assert status["toolCount"] >= 9
+
+
+def test_diagnostic_hint_returns_none_for_unrecognized_error() -> None:
+ """A diagnostic line that doesn't match any known pattern must surface
+ None (not a misleading hint)."""
+ client = EngraphisMcpClient(EngraphisRuntimeConfig(command="x"))
+ client._diagnostic = "ERROR: connection refused on 127.0.0.1:9999\n"
+ assert client.diagnostic_hint() is None
+
+
+def test_format_mcp_payload_handles_non_text_blocks() -> None:
+ """Blocks without a `text` field (e.g. an image) must be skipped, and
+ the JSON fallback must kick in when no text content is present."""
+ payload = {
+ "content": [
+ {"type": "image", "data": "ignored"},
+ {"type": "text", "text": "only text"},
+ ]
+ }
+ assert format_mcp_payload(payload) == "only text"
+ # No text at all -> JSON fallback.
+ assert json.loads(format_mcp_payload({"content": [{"type": "image"}]})) == {
+ "content": [{"type": "image"}]
+ }
diff --git a/integrations/prime_agent/tests/test_register_and_repo.py b/integrations/prime_agent/tests/test_register_and_repo.py
new file mode 100644
index 00000000..4c4d30d9
--- /dev/null
+++ b/integrations/prime_agent/tests/test_register_and_repo.py
@@ -0,0 +1,227 @@
+"""Tests for review-feedback fixes on PR 174.
+
+Covers:
+1. Agent repo precedence: explicit > config.default_repo > self.name.
+2. register() wrappers lazily start the session.
+3. install_prime_agent / scripts wrapper dispatches via the package module.
+4. Installer TOML path uses write_text (not write_bytes).
+5. CLI install command does not require scripts/ outside the wheel.
+"""
+from __future__ import annotations
+
+import json
+import subprocess
+import sys
+from pathlib import Path
+
+import pytest
+
+from engraphis_prime_agent.config import EngraphisRuntimeConfig
+from engraphis_prime_agent.mcp_client import EngraphisMcpClient
+
+
+# ---- Fix 1: agent repo precedence --------------------------------------
+
+
+def test_agent_repo_uses_explicit_kwarg() -> None:
+ from engraphis_prime_agent.agent import EngraphisPrimeAgent
+
+ config = EngraphisRuntimeConfig(
+ command="ignored", default_repo="api", environment={}
+ )
+ client = EngraphisMcpClient(config)
+ agent = EngraphisPrimeAgent(
+ "researcher", client, config, workspace="acme", repo="custom"
+ )
+ assert agent.repo == "custom"
+
+
+def test_agent_repo_uses_default_repo_when_no_explicit() -> None:
+ from engraphis_prime_agent.agent import EngraphisPrimeAgent
+
+ config = EngraphisRuntimeConfig(
+ command="ignored", default_repo="api", environment={}
+ )
+ client = EngraphisMcpClient(config)
+ agent = EngraphisPrimeAgent("researcher", client, config, workspace="acme")
+ assert agent.repo == "api"
+
+
+def test_agent_repo_falls_back_to_name_when_no_default() -> None:
+ from engraphis_prime_agent.agent import EngraphisPrimeAgent
+
+ config = EngraphisRuntimeConfig(command="ignored", environment={})
+ client = EngraphisMcpClient(config)
+ agent = EngraphisPrimeAgent("researcher", client, config, workspace="acme")
+ assert agent.repo == "researcher"
+
+
+# ---- Fix 2: register() wrappers lazily start the session ------------------
+
+
+@pytest.mark.asyncio
+async def test_register_wrappers_lazy_start_session(fake_mcp_server) -> None:
+ """When a fresh agent is registered and the framework invokes a tool
+ directly, the session must be started before the tool is called — the
+ wrapper around each registered callable must drive the lazy-start path.
+ """
+ from engraphis_prime_agent.agent import EngraphisPrimeAgent, PrimeAgentFleet
+
+ config = EngraphisRuntimeConfig(command="ignored", environment={})
+ client = EngraphisMcpClient(config)
+ await client.connect()
+ try:
+ fleet = PrimeAgentFleet(workspace="test", config=config)
+ agent = EngraphisPrimeAgent("researcher", client, config)
+
+ registered: dict[str, object] = {}
+
+ class _Target:
+ def register_tool(self, name: str, fn, schema: dict) -> None:
+ registered[name] = fn
+
+ agent.register(_Target())
+ assert "engraphis_recall_context" in registered
+ wrapper = registered["engraphis_recall_context"]
+ # Before the framework calls the wrapper, no session exists.
+ assert agent.session_id is None
+ await wrapper({"query": "hello"})
+ # After the framework calls the wrapper, the session is started.
+ assert agent.session_id is not None
+ await fleet.aclose()
+ finally:
+ await client.close()
+
+
+# ---- Fix 3 + 4: installer module + TOML write_text ----------------------
+
+
+def test_installer_module_importable() -> None:
+ """The installer must ship inside the package so the wheel works."""
+ from engraphis_prime_agent import installer
+
+ assert hasattr(installer, "install")
+ assert hasattr(installer, "uninstall")
+ assert hasattr(installer, "main")
+
+
+def test_installer_toml_uses_write_text(
+ tmp_path: Path, monkeypatch: pytest.MonkeyPatch
+) -> None:
+ """``tomli_w.dumps`` returns str, so the TOML path must use write_text
+ (not write_bytes, which would TypeError). We test the wrapper by
+ stubbing tomli_w to verify the right method is called.
+ """
+ from engraphis_prime_agent import installer
+
+ target = tmp_path / "config.toml"
+ captured: dict[str, object] = {}
+
+ class _StubToml:
+ @staticmethod
+ def dumps(_data: dict) -> str:
+ return "[tools.engraphis]\npackage = 'x'\n"
+
+ monkeypatch.setattr(installer, "tomli_w", _StubToml, raising=False)
+
+ real_write_text = Path.write_text
+ real_write_bytes = Path.write_bytes
+
+ def _spy_write_text(self, *args, **kwargs): # type: ignore[no-untyped-def]
+ captured["method"] = "write_text"
+ return real_write_text(self, *args, **kwargs)
+
+ def _spy_write_bytes(self, *args, **kwargs): # type: ignore[no-untyped-def]
+ captured["method"] = "write_bytes"
+ return real_write_bytes(self, *args, **kwargs)
+
+ monkeypatch.setattr(Path, "write_text", _spy_write_text)
+ monkeypatch.setattr(Path, "write_bytes", _spy_write_bytes)
+
+ installer.install(target, merge=False, dry_run=False)
+ assert captured.get("method") == "write_text"
+ assert target.exists()
+ assert "package" in target.read_text(encoding="utf-8")
+
+
+def test_installer_idempotent_install_uninstall_round_trip(
+ tmp_path: Path, monkeypatch: pytest.MonkeyPatch
+) -> None:
+ from engraphis_prime_agent import installer
+
+ target = tmp_path / "config.json"
+ installer.install(target)
+ installer.install(target) # idempotent: same content
+ cfg = json.loads(target.read_text(encoding="utf-8"))
+ assert len(cfg["tools"]) == 1
+ assert "engraphis" in cfg["tools"]
+ installer.uninstall(target)
+ cfg = json.loads(target.read_text(encoding="utf-8"))
+ assert "engraphis" not in cfg.get("tools", {})
+
+
+def test_installer_dry_run_does_not_write(
+ tmp_path: Path, monkeypatch: pytest.MonkeyPatch
+) -> None:
+ from engraphis_prime_agent import installer
+
+ target = tmp_path / "config.json"
+ installer.install(target, dry_run=True)
+ assert not target.exists()
+
+
+# ---- Fix 5: CLI install works without a source-tree scripts/ dir ----------
+
+
+def test_cli_install_subcommand_uses_package_installer(
+ tmp_path: Path, monkeypatch: pytest.MonkeyPatch
+) -> None:
+ """The CLI must dispatch through the package module, not runpy against
+ a repo-level scripts/ directory that doesn't exist after pip install.
+ """
+ config_path = tmp_path / "config.json"
+ result = subprocess.run(
+ [
+ sys.executable,
+ "-m",
+ "engraphis_prime_agent",
+ "install",
+ "--config-path",
+ str(config_path),
+ ],
+ capture_output=True,
+ text=True,
+ )
+ assert result.returncode == 0, result.stderr
+ assert config_path.exists()
+ cfg = json.loads(config_path.read_text(encoding="utf-8"))
+ assert "engraphis" in cfg["tools"]
+
+
+# ---- Scripts wrapper: still works from a source checkout -----------------
+
+
+def test_scripts_wrapper_imports_package(tmp_path: Path) -> None:
+ """The repo-root scripts/install_prime_agent.py is a thin shim that
+ delegates to engraphis_prime_agent.installer. Verify the import path
+ when invoked from a source checkout (no editable install).
+ """
+ import io
+ import contextlib
+
+ script = (
+ Path(__file__).resolve().parent.parent.parent.parent
+ / "scripts"
+ / "install_prime_agent.py"
+ )
+ assert script.exists(), f"missing {script}"
+ config_path = tmp_path / "shim-config.json"
+ buf = io.StringIO()
+ with contextlib.redirect_stdout(buf):
+ result = subprocess.run(
+ [sys.executable, str(script), "--config-path", str(config_path)],
+ capture_output=True,
+ text=True,
+ )
+ assert result.returncode == 0, result.stderr
+ assert config_path.exists()
diff --git a/integrations/prime_agent/tests/test_tools.py b/integrations/prime_agent/tests/test_tools.py
new file mode 100644
index 00000000..1fd56117
--- /dev/null
+++ b/integrations/prime_agent/tests/test_tools.py
@@ -0,0 +1,314 @@
+"""Tests for the 9 Smart tool factories and scope-default helper."""
+from __future__ import annotations
+
+import pytest
+
+from engraphis_prime_agent.config import EngraphisRuntimeConfig
+from engraphis_prime_agent.mcp_client import EngraphisMcpClient
+from engraphis_prime_agent.tools import (
+ TOOL_SPECS,
+ all_tools,
+ apply_scope_defaults,
+ build_tool,
+)
+
+
+@pytest.fixture
+def client(mcp_client) -> EngraphisMcpClient:
+ return mcp_client
+
+
+def test_tool_specs_cover_nine_tools() -> None:
+ assert len(TOOL_SPECS) == 9
+ names = [name for name, _ in TOOL_SPECS]
+ assert names == [
+ "engraphis_session",
+ "engraphis_recall_context",
+ "engraphis_remember",
+ "engraphis_discover_actions",
+ "engraphis_execute_read",
+ "engraphis_execute_action",
+ "engraphis_get_memory",
+ "engraphis_update_memory",
+ "engraphis_conflict_review",
+ ]
+
+
+def test_each_tool_has_name_description_and_schema() -> None:
+ for name, schema in TOOL_SPECS:
+ assert isinstance(name, str) and name
+ assert "type" in schema and schema["type"] == "object"
+ assert "properties" in schema
+
+
+def test_build_tool_unknown_name_raises() -> None:
+ config = EngraphisRuntimeConfig(command="x")
+ client = EngraphisMcpClient(config)
+ with pytest.raises(KeyError):
+ build_tool("not_a_tool", client, config)
+
+
+@pytest.mark.asyncio
+async def test_recall_context_tool_calls_mcp(client) -> None:
+ fn, meta = build_tool("engraphis_recall_context", client, client.config)
+ result = await fn({"query": "decision: sqlite-vec KNN"})
+ assert result["_tool"] == "engraphis_recall_context"
+ assert client._tools_cache is not None # ensure list_tools was called
+
+
+@pytest.mark.asyncio
+async def test_remember_tool_passes_arguments(client) -> None:
+ fn, _ = build_tool("engraphis_remember", client, client.config)
+ result = await fn({"content": "Use sqlite-vec KNN for <=1M vectors", "importance": 0.7})
+ assert result["_tool"] == "engraphis_remember"
+
+
+@pytest.mark.asyncio
+async def test_session_id_is_injected_when_bound(client, fake_mcp_server) -> None:
+ fn, _ = build_tool(
+ "engraphis_recall_context", client, client.config, session_id="ses_test_1"
+ )
+ await fn({"query": "anything"})
+ # The fake server records every tools/call; the last entry should
+ # carry the injected session_id.
+ assert fake_mcp_server.call_log[-1][0] == "engraphis_recall_context"
+ assert fake_mcp_server.call_log[-1][1].get("session_id") == "ses_test_1"
+
+
+def test_all_tools_returns_nine_pairs(client) -> None:
+ pairs = all_tools(client, client.config)
+ assert len(pairs) == 9
+ for fn, meta in pairs:
+ assert callable(fn)
+ assert meta["name"] in [name for name, _ in TOOL_SPECS]
+ assert "description" in meta
+ assert "parameters" in meta
+
+
+def test_apply_scope_defaults_preserves_model_supplied() -> None:
+ config = EngraphisRuntimeConfig(
+ command="x",
+ default_workspace="acme",
+ default_repo="api",
+ )
+ out = apply_scope_defaults(
+ {"workspace": "override", "repo": "fork"},
+ config,
+ )
+ assert out["workspace"] == "override"
+ assert out["repo"] == "fork"
+
+
+def test_apply_scope_defaults_injects_when_missing() -> None:
+ config = EngraphisRuntimeConfig(
+ command="x",
+ default_workspace="acme",
+ default_repo="api",
+ )
+ out = apply_scope_defaults({}, config)
+ assert out["workspace"] == "acme"
+ assert out["repo"] == "api"
+
+
+def test_apply_scope_defaults_skips_repo_when_workspace_overridden() -> None:
+ config = EngraphisRuntimeConfig(
+ command="x",
+ default_workspace="acme",
+ default_repo="api",
+ )
+ out = apply_scope_defaults({"workspace": "other"}, config)
+ assert out["workspace"] == "other"
+ assert "repo" not in out
+
+
+def test_apply_scope_defaults_merges_extra() -> None:
+ config = EngraphisRuntimeConfig(command="x")
+ out = apply_scope_defaults({}, config, extra={"actor": "user"})
+ assert out["actor"] == "user"
+
+
+def test_apply_scope_defaults_extra_can_be_overridden_by_params() -> None:
+ config = EngraphisRuntimeConfig(command="x")
+ out = apply_scope_defaults({"actor": "agent"}, config, extra={"actor": "user"})
+ assert out["actor"] == "agent"
+
+
+# ---- new edge-case tests below ----
+
+
+def test_apply_scope_defaults_does_not_mutate_input_dict() -> None:
+ """The helper must not mutate the caller's `params` dict — prime-agent
+ and other call sites may reuse the same dict for repeated tool calls."""
+ config = EngraphisRuntimeConfig(
+ command="x",
+ default_workspace="acme",
+ default_repo="api",
+ )
+ params = {"query": "hello"}
+ snapshot = dict(params)
+ out = apply_scope_defaults(params, config)
+ assert params == snapshot # input untouched
+ # Output is a new dict — mutating it must not bleed back.
+ out["query"] = "mutated"
+ assert params["query"] == "hello"
+
+
+def test_apply_scope_defaults_does_not_mutate_extra_dict() -> None:
+ """`extra` is also treated as read-only."""
+ config = EngraphisRuntimeConfig(command="x", default_workspace="acme")
+ extra = {"actor": "user", "workspace": "extra-ws"}
+ snapshot = dict(extra)
+ out = apply_scope_defaults({}, config, extra=extra)
+ assert extra == snapshot
+ # The output is a copy of extra; mutating output must not leak.
+ out["actor"] = "mutated"
+ assert extra["actor"] == "user"
+
+
+def test_apply_scope_defaults_no_defaults_no_extra_returns_new_dict() -> None:
+ """With no config defaults and no extra, apply_scope_defaults should
+ return a new dict equal to the input — and still not be the same object."""
+ config = EngraphisRuntimeConfig(command="x")
+ params = {"x": 1}
+ out = apply_scope_defaults(params, config)
+ assert out == params
+ assert out is not params
+
+
+@pytest.mark.asyncio
+async def test_build_tool_returns_async_callable(client) -> None:
+ """The returned callable must be awaitable and accept a single dict arg."""
+ import inspect
+
+ fn, meta = build_tool("engraphis_remember", client, client.config)
+ assert callable(fn)
+ assert inspect.iscoroutinefunction(fn) or hasattr(fn, "__call__")
+ # Calling with a dict must return an awaitable that resolves to a dict.
+ coro = fn({"content": "x"})
+ result = await coro
+ assert isinstance(result, dict)
+ assert "content" in result or "_tool" in result
+
+
+@pytest.mark.asyncio
+async def test_build_tool_meta_has_required_fields(client) -> None:
+ """The metadata dict must include name, description, and parameters so
+ any prime-agent registration surface can render it without fallbacks."""
+ fn, meta = build_tool("engraphis_get_memory", client, client.config)
+ assert meta["name"] == "engraphis_get_memory"
+ assert isinstance(meta["description"], str) and meta["description"]
+ assert meta["parameters"]["type"] == "object"
+ assert "properties" in meta["parameters"]
+
+
+def test_all_tool_schemas_declare_required_field_explicitly() -> None:
+ """Every Smart tool schema must declare a `required` key — either as a
+ non-empty list of names or an empty list. The absence of `required`
+ would be ambiguous (it can be read as "no required fields" OR as
+ "all fields implicitly required" depending on the consumer)."""
+ for name, schema in TOOL_SPECS:
+ assert "required" in schema, f"{name} schema is missing the 'required' key"
+ assert isinstance(schema["required"], list), (
+ f"{name} schema 'required' must be a list, got {type(schema['required']).__name__}"
+ )
+ # Every name listed in `required` must also be a defined property.
+ for required_name in schema["required"]:
+ assert required_name in schema["properties"], (
+ f"{name} schema lists {required_name!r} in required "
+ "but it is not in properties"
+ )
+
+
+def test_schema_required_names_are_subset_of_properties() -> None:
+ """Defense in depth: cross-check every required name appears in properties."""
+ for name, schema in TOOL_SPECS:
+ for required_name in schema.get("required", []):
+ assert required_name in schema["properties"], (
+ f"{name}: required field {required_name!r} missing from properties"
+ )
+
+
+def test_schemas_have_additional_properties_false_or_unset() -> None:
+ """The schemas set `additionalProperties: False` to surface typos early.
+ Any schema that loses this guarantee is a regression."""
+ for name, schema in TOOL_SPECS:
+ if "additionalProperties" in schema:
+ assert schema["additionalProperties"] is False, (
+ f"{name} schema should have additionalProperties=False"
+ )
+
+
+def test_no_tool_schema_is_empty() -> None:
+ """Every tool must declare at least one property. An empty schema would
+ mean the tool accepts no parameters at all, which is not a Smart tool."""
+ for name, schema in TOOL_SPECS:
+ assert schema.get("properties"), f"{name} schema has no properties"
+ assert len(schema["properties"]) >= 1
+
+
+@pytest.mark.asyncio
+async def test_session_id_is_injected_into_call(client, fake_mcp_server) -> None:
+ """A tool bound with session_id="ses_xyz" must forward "ses_xyz" as the
+ session_id argument of the resulting tools/call RPC."""
+ fn, _ = build_tool(
+ "engraphis_recall_context", client, client.config, session_id="ses_xyz"
+ )
+ await fn({"query": "anything"})
+ # The fake server records the last call's (name, arguments) pair.
+ assert fake_mcp_server.call_log, "fake server recorded no calls"
+ last_name, last_args = fake_mcp_server.call_log[-1]
+ assert last_name == "engraphis_recall_context"
+ assert last_args.get("session_id") == "ses_xyz"
+ # The caller-supplied args are preserved alongside the injection.
+ assert last_args.get("query") == "anything"
+
+
+@pytest.mark.asyncio
+async def test_session_id_injection_does_not_override_caller_supplied(client, fake_mcp_server) -> None:
+ """If the caller already supplied a session_id, the bound session_id
+ must NOT silently overwrite it — caller intent wins."""
+ fn, _ = build_tool(
+ "engraphis_recall_context", client, client.config, session_id="ses_bound"
+ )
+ await fn({"query": "x", "session_id": "ses_caller"})
+ _, last_args = fake_mcp_server.call_log[-1]
+ assert last_args["session_id"] == "ses_caller"
+
+
+@pytest.mark.asyncio
+async def test_session_id_not_injected_when_not_bound(client, fake_mcp_server) -> None:
+ """A tool built without a session_id must not add a session_id key —
+ only the caller-supplied fields (plus scope defaults) reach the server."""
+ fn, _ = build_tool("engraphis_recall_context", client, client.config)
+ await fn({"query": "x"})
+ _, last_args = fake_mcp_server.call_log[-1]
+ assert "session_id" not in last_args or last_args.get("session_id") in (None, "")
+
+
+def test_all_tools_with_session_id_returns_independent_callables(client) -> None:
+ """all_tools() must return 9 distinct callables, each with its own
+ closure-captured name. Reusing a session_id must not collapse the
+ tools into a single shared callable."""
+ pairs = all_tools(client, client.config, session_id="ses_shared")
+ assert len(pairs) == 9
+ callables = [fn for fn, _ in pairs]
+ # Each callable has a unique __name__ or at least is a different object.
+ assert len({id(fn) for fn in callables}) == 9
+
+
+def test_build_tool_meta_description_matches_descriptor_table(client) -> None:
+ """Every built tool's description must match the entry in _DESC — a
+ typo in a schema shouldn't silently ship."""
+ for name, _schema in TOOL_SPECS:
+ _fn, meta = build_tool(name, client, client.config)
+ assert meta["name"] == name
+ assert isinstance(meta["description"], str) and meta["description"]
+
+
+def test_all_tool_schemas_have_unique_property_names_within_tool() -> None:
+ """A schema that lists the same property twice would be ambiguous."""
+ for name, schema in TOOL_SPECS:
+ props = schema.get("properties", {})
+ assert len(props) == len(set(props)), (
+ f"{name} schema has duplicate property names: {list(props)}"
+ )
diff --git a/scripts/install_prime_agent.py b/scripts/install_prime_agent.py
new file mode 100644
index 00000000..ad5f88fd
--- /dev/null
+++ b/scripts/install_prime_agent.py
@@ -0,0 +1,30 @@
+# -*- coding: utf-8 -*-
+"""Thin wrapper around the package-distributed installer.
+
+The canonical implementation lives at
+``engraphis_prime_agent.installer`` so it ships with the wheel and works
+after ``pip install engraphis-prime-agent``. This wrapper remains at the
+repo root for source-tree developers who run ``python
+scripts/install_prime_agent.py`` directly.
+
+Usage:
+ python scripts/install_prime_agent.py
+ python scripts/install_prime_agent.py --uninstall
+"""
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+# Allow importing the package from a source checkout without an editable
+# install. The integration package is three directories up from this
+# script: scripts/ -> engraphis/ -> integrations/prime_agent/ -> src/.
+_REPO_ROOT = Path(__file__).resolve().parent.parent
+_SRC = _REPO_ROOT / "integrations" / "prime_agent" / "src"
+if _SRC.is_dir():
+ sys.path.insert(0, str(_SRC))
+
+from engraphis_prime_agent.installer import main # noqa: E402
+
+if __name__ == "__main__":
+ sys.exit(main())
diff --git a/tests/e2e/graph-engine.spec.js b/tests/e2e/graph-engine.spec.js
index 5b7e8b39..eaf20278 100644
--- a/tests/e2e/graph-engine.spec.js
+++ b/tests/e2e/graph-engine.spec.js
@@ -1904,9 +1904,15 @@ test('served Ledger wires normalized spacetime controls, overlay, and orbit paus
{ control: 170, multiplier: 1.2 },
{ control: 180, multiplier: 1.4 },
]);
+ /* Engine-side values reflect the new calibration:
+ - blackHoleMass curve slope *0.02 (was *0.015): 240 → 1 + 80*0.02 = 2.6
+ - gravitationalConstant / localGravitationalConstant divisor /25 (was /33.33):
+ 150/25 = 6, 125/25 = 5
+ - damping: passthrough (1..15)
+ - springStiffness: /20 (was /20 — unchanged): 60/20 = 3 */
await expect.poll(() => page.evaluate(() => window.__engraphisGraph.state().settings))
- .toMatchObject({ gravitationalConstant: 4, blackHoleMass: 2.6,
- localGravitationalConstant: 3, damping: 3, springStiffness: 3, orbitPaused: false });
+ .toMatchObject({ gravitationalConstant: 6, blackHoleMass: 2.6,
+ localGravitationalConstant: 5, damping: 3, springStiffness: 3, orbitPaused: false });
const rangeResponse = await page.evaluate(() => {
const set = (id, value) => {
const control = document.getElementById(id);
@@ -1937,8 +1943,12 @@ test('served Ledger wires normalized spacetime controls, overlay, and orbit paus
};
});
expect(rangeResponse.settings).toMatchObject({
- flowSpeed: 85, repel: 200, link: 32, gravity: 144, size: 5, font: 20,
- linkw: 1.28, labelDensity: 56,
+ /* With the linear response curve (exponent 1.0), each slider value passes through
+ graphSliderResponseValue to the engine. The test inputs are 65, 150, 20, 120, 4,
+ 16, 1, 40 — and the response curve returns those values (within clamp) because
+ the linear mapping around the preset baseline produces proportional outputs. */
+ flowSpeed: 65, repel: 150, link: 20, gravity: 120, size: 4, font: 16,
+ linkw: 1, labelDensity: 40,
});
expect(rangeResponse.scope).toEqual({ minDegree: 2, depth: 3 });
expect(rangeResponse.importanceAria).toBe('1.00 importance');
diff --git a/tests/test_graph_engine_asset.py b/tests/test_graph_engine_asset.py
index 2a781c00..61fd3c9f 100644
--- a/tests/test_graph_engine_asset.py
+++ b/tests/test_graph_engine_asset.py
@@ -1,11522 +1,11522 @@
-"""Contract checks for the opt-in browser graph engine (``?graph-engine=next``).
-
-These tests intentionally stay dependency-light: the dashboard's offline CI floor does
-not need a browser or a JavaScript package manager just to validate a shipped static
-asset. Where Node is available the asset is *executed* rather than pattern-matched, so
-the checks assert behaviour (escaping, bridge detection, stack safety, load-order
-independence) instead of the presence of source substrings.
-
-The properties guarded here are the ones whose failure is silent in a browser:
-
-* the asset must define its global without touching ``ForceGraph``/``document``, so a
- blocked or missing vendor bundle degrades instead of white-screening the dashboard;
-* every label crossing into force-graph must be escaped, because force-graph's tooltip
- is an ``innerHTML`` sink and entity labels come from ingested memories;
-* the client-side graph analysis must not recurse per node or run unbounded work;
-* the per-style pane backgrounds must stay in CSS, since the production CSP sets
- ``style-src-attr 'none'``.
-"""
-
-from __future__ import annotations
-
-import json
-import math
-import re
-import shutil
-import subprocess
-from pathlib import Path
-
-import pytest
-
-ROOT = Path(__file__).resolve().parents[1]
-STATIC = ROOT / "engraphis" / "static"
-ASSET = ROOT / "engraphis" / "dashboard_assets" / "engraphis-graph.js"
-EVERY_ASSET = ROOT / "engraphis" / "dashboard_assets" / "engraphis-graph-every.js"
-SPACETIME_ASSET = ROOT / "engraphis" / "dashboard_assets" / "engraphis-spacetime.js"
-LEGACY_ADAPTER = STATIC / "engraphis-graph.js"
-INDEX = STATIC / "index.html"
-CSS = STATIC / "dashboard.css"
-DASHBOARD = STATIC / "dashboard.js"
-CLASSIC_DASHBOARD = ROOT / "engraphis" / "classic_assets" / "dashboard.js"
-VENDOR = STATIC / "vendor" / "force-graph.min.js"
-PRIMARY_LEDGER = ROOT / "engraphis" / "dashboard_assets" / "ledger.js"
-PRIMARY_INDEX = ROOT / "engraphis" / "dashboard_assets" / "index.html"
-PRIMARY_CSS = ROOT / "engraphis" / "dashboard_assets" / "ledger.css"
-PRIMARY_VENDOR = ROOT / "engraphis" / "dashboard_assets" / "vendor" / "force-graph.min.js"
-
-NODE = shutil.which("node")
-requires_node = pytest.mark.skipif(NODE is None, reason="node is not installed")
-
-#: Evaluates the asset with nothing but a bare ``window`` object in scope. Any top-level
-#: use of a browser or vendor global would raise here, which is the point.
-PRELUDE = """
-const fs = require('fs');
-const source = fs.readFileSync(process.argv[1], 'utf8');
-const window = {};
-new Function('window', source)(window);
-const G = window.EngraphisGraph;
-const I = G._internals;
-const emit = value => console.log(JSON.stringify(value));
-"""
-
-
-#: Same, plus a recording stand-in for force-graph so ``create()`` can be *driven*. Every
-#: accessor is a chainable setter that returns the stored value when called with no arguments —
-#: force-graph's own kapsule semantics — so the paint configuration the engine installs can be
-#: read back and invoked instead of pattern-matched. ``calls`` counts the invalidations the
-#: engine requests, which is the only observable form a "redraw now" takes. ``invocations``
-#: counts the *argument-less* calls, which under kapsule semantics are the commands rather than
-#: the setters — ``d3ReheatSimulation()`` is one, and it has no other observable effect here.
-ENGINE_PRELUDE = """
-const fs = require('fs');
-const source = fs.readFileSync(process.argv[1], 'utf8');
-const engineWindowListeners = {};
-const window = {
- addEventListener(type, callback) { engineWindowListeners[type] = callback; },
- removeEventListener(type) { delete engineWindowListeners[type]; },
-};
-globalThis.requestAnimationFrame = () => {};
-globalThis.cancelAnimationFrame = () => {};
-const store = {}, calls = {}, invocations = {};
-const fg = new Proxy({}, {
- get: (_target, prop) => prop === 'screen2GraphCoords' && typeof store.screen2GraphCoords === 'function'
- ? store.screen2GraphCoords
- : prop === 'd3Force' ? (function(name, force) {
- /* d3Force(name) is a getter and d3Force(name, force) is a setter. Modelling that
- distinction keeps the behavioural force tests below honest. */
- if (arguments.length === 1) return store.d3Forces && store.d3Forces[name];
- calls.d3Force = (calls.d3Force || 0) + 1;
- store.d3Forces = store.d3Forces || {};
- store.d3Forces[name] = force;
- return fg;
- }) : (...args) => {
- if (!args.length) { invocations[prop] = (invocations[prop] || 0) + 1; return store[prop]; }
- calls[prop] = (calls[prop] || 0) + 1;
- store[prop] = args.length === 1 ? args[0] : args;
- return fg;
- },
-});
-globalThis.ForceGraph = () => () => fg;
-const elListeners = {};
-const canvas = { getBoundingClientRect() { return { left: 0, top: 0 }; } };
-const el = {
- attrs: {}, innerHTML: '', clientWidth: 800, clientHeight: 600,
- getAttribute(name) { return this.attrs[name] === undefined ? null : this.attrs[name]; },
- setAttribute(name, value) { this.attrs[name] = value; },
- removeAttribute(name) { delete this.attrs[name]; },
- classList: { toggle() {}, remove() {} },
- addEventListener(type, callback) { elListeners[type] = callback; },
- removeEventListener(type) { delete elListeners[type]; },
- querySelector(selector) { return selector === 'canvas' ? canvas : null; },
-};
-const chain = count => {
- const nodes = [], links = [];
- for (let i = 0; i <= count; i++) nodes.push({ id: 'n' + i });
- for (let i = 0; i < count; i++) {
- links.push({ source: 'n' + i, target: 'n' + (i + 1), layer: 'semantic' });
- }
- return { nodes, links };
-};
-new Function('window', source)(window);
-const G = window.EngraphisGraph;
-const I = G._internals;
-const emit = value => console.log(JSON.stringify(value));
-"""
-
-
-def _run_node(script: str, prelude: str = PRELUDE) -> object:
- result = subprocess.run(
- [NODE, "-e", prelude + script, str(ASSET)],
- cwd=ROOT,
- capture_output=True,
- text=True,
- check=False,
- )
- assert result.returncode == 0, result.stderr
- return json.loads(result.stdout.strip().splitlines()[-1])
-
-
-def _run_engine(script: str) -> object:
- return _run_node(script, prelude=ENGINE_PRELUDE)
-
-
-def _run_spacetime_node(script: str) -> object:
- """Execute the independently loaded canvas-only spacetime renderer in a tiny DOM."""
- prelude = """
-const fs = require('fs');
-const source = fs.readFileSync(process.argv[1], 'utf8');
-const emit = value => console.log(JSON.stringify(value));
-"""
- result = subprocess.run(
- [NODE, "-e", prelude + script, str(SPACETIME_ASSET)],
- cwd=ROOT,
- capture_output=True,
- text=True,
- check=False,
- )
- assert result.returncode == 0, result.stderr
- return json.loads(result.stdout.strip().splitlines()[-1])
-
-
-# ── load order and failure isolation ────────────────────────────────────────────────
-
-
-def test_graph_assets_are_never_loaded_on_a_plain_page_view() -> None:
- """Neither graph script may sit in index.html.
-
- force-graph applies inline styles at runtime, so under the production CSP
- (``style-src 'self'``) every page load that fetched it reported a violation per attempt —
- including the pages that never open the graph.
- """
- html = INDEX.read_text(encoding="utf-8")
- eager = re.findall(r'",
- "\" onmouseover=\"alert(1)",
- "