46 Commits

Author SHA1 Message Date
Ramis 0077e0d7c3 docs: fix mangled README title
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LuV8W8oNYRsDWKoqK8Mkqc
2026-06-28 06:41:34 -07:00
Ramis 12dbf69431 docs: reposition around team-coordination, sync specs to code, prune stale docs
Reframe README around the real bottleneck (human coordination, not
engineering ability) with the "five-minute meeting" cost story; rewrite the
demo script to match. Update gemini/livekit/mongodb/digitalocean specs to
reflect shipped code (Gemini Live agent, TTS, embeddings, Lyria via
Interactions API; current API routes; hermes_jobs collections). Add hermes.md.
Rename graph.md -> cont_learning.md. Remove outdated/dead docs (agent-learning
scaffolding, graph-discovery, handoffs, superpowers, idea/plan/demo-setup) and
the bundled LiveKit starter under examples/. Rewire CLAUDE.md doc-first gate
off the deleted PLAN.md.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LuV8W8oNYRsDWKoqK8Mkqc
2026-06-28 06:41:09 -07:00
sb-iam 6f01571edb Merge pull request #41 from karti-ai/feat/rsi-step3-wasreal-verifier
feat(continual-learning): derive wasRealCollision from git overlap (RSI step 3)
2026-06-28 06:07:10 -07:00
sb-iam cf9cca933c Merge pull request #40 from karti-ai/feat/rsi-steps-1-2-negative-loop
feat(continual-learning): activate negative-feedback loop (RSI steps 1-2)
2026-06-28 06:06:11 -07:00
sb-iam 1901010996 fix(continual-learning): harden wasRealCollision verifier (Codex review)
Addresses the P1 brittleness in the Step 3 verifier so learned_from edges
(graph/live.ts:413) can't be silently zeroed on stage.

- Capture overlap AT detection time as Collision.gitOverlap (podman.ts), while
  engineer_states are still fresh, instead of re-deriving from possibly-stale
  state when the user clicks. deriveWasRealCollision() now prefers this stored
  evidence and only falls back to a live re-derivation for older collisions.
- Canonicalize engineer names (trim + lowercase) on both the capture and the
  fallback path, so "Karti" vs "karti" no longer misses the git state.
- conflictKey now reuses the shared comparableBasename() helper (dedupe).

shared/src/collision.ts gains optional `gitOverlap?: boolean` (additive).
shared rebuilt; backend+frontend typecheck + eslint pass. PLAN.md rung 3 updated.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-28 07:57:38 -05:00
sb-iam d9776452b2 feat(continual-learning): derive wasRealCollision from git overlap (RSI step 3)
Backend becomes authoritative for the verifier signal. recordOutcome now
overrides the client-supplied wasRealCollision with deriveWasRealCollision():
a flagged collision counts as REAL only if BOTH named engineers currently have
the collided file in their git changedFiles (getGitStates, 120s freshness TTL).
Conservative false when the collision is orphaned/missing or git state is
stale. Restores the (accepted x wasReal) 2x2 the spec assumes instead of the
hardcoded 107/107 true.

frontend/useInterventions.ts stops sending a hardcoded `true` (now a
backend-overridden placeholder). Spec: continual-learning/spec.md:98-108,
policy.md:35-42. backend+frontend typecheck + eslint pass. PLAN.md P0.5 rung 3
added.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-28 07:47:53 -05:00
sb-iam 0d69f82139 feat(continual-learning): activate negative-feedback loop (RSI steps 1-2)
Step 1 — policy.ts shouldIntervene: suppress on a prior dismissal alone.
The former `&& !priorOutcome.wasRealCollision` term was dead code (outcomes
record wasRealCollision hardcoded true), so the 85 real dismissals in Atlas
were never used. Now a prior accepted===false suppresses the next identical
nudge. Spec: continual-learning/policy.md:41, spec.md:163.

Step 2 — podman.ts handle: only escalate severity to 'critical' (the spoken
alert trigger) when the recalled prior was an accepted *real* collision,
instead of blanket-escalating every recall. Surfaces learned routing in
preferredAction; stops dismissed/false priors over-escalating to voice.
Spec: continual-learning/policy.md:62-63, plan.md:66.

Documentation-first: adds PLAN.md section 8 "P0.5 - RSI negative-feedback
activation" with both rungs + follow-ups. No schema change. backend typecheck
passes. Independent of the MongoDB-cleanup handoff (Codex).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-28 07:42:42 -05:00
sb-iam 7f922c0332 Merge pull request #39 from karti-ai/docs/team-memory-handoff
docs(handoff): Team memory graph and MongoDB cleanup handoffs
2026-06-28 04:01:34 -07:00
sb-iam 9f509e5f34 docs: add Codex handoff for DB cleanup 2026-06-28 04:00:24 -07:00
sb-iam e7acab2c56 docs(handoff): Team-memory dynamic graph redesign + deploy reconciliation
Fresh-session handoff covering the dynamic force-directed graph, honest de-noised
metrics, the click-to-explain Flow pane, the divergence vs main's parallel impl,
the best-of-both reconciliation (PR #38), build/verify quirks, and gotchas.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-28 03:17:10 -07:00
sb-iam 1d097b13af Merge pull request #38 from karti-ai/feat/team-memory-deploy
feat(graph): dynamic Team-memory graph + honest metrics (best-of-both on main)
2026-06-28 03:02:02 -07:00
Kartikeya ab8ea07c12 feat: pod-wide Lyria background music (replaces test-audio drums)
The 'Test audio' button becomes 'Background Music': each pod gets a calm looping track from Gemini Lyria 3 that sings the pod name once up front then stays instrumental. Backend GET /api/pods/:id/music generates via the Gemini interactions endpoint and caches the MP3 per pod in Mongo (pod_music); the frontend fetches and loops it via Web Audio, published pod-wide on the existing podman-beat track.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-28 02:55:19 -07:00
sb-iam b8b6b16531 feat(graph): dynamic force-directed Team-memory graph + honest metrics (on main's pipeline)
Lands the dynamic Team-memory redesign on top of main's continual-learning
pipeline. main already computes loop/activity in the API but its GraphView never
rendered them and kept a static-column graph; this swaps in the dynamic graph and
surfaces the rails, reusing main's richer PodLearningLoop / PodGraphActivity types.

Frontend (new frontend/src/components/graph/*, composed into GraphView.tsx):
- forceSim.ts: dependency-free force layout (charge, link springs, centroid
  recenter, 2-pass collision, bounds clamp, alpha anneal) — no new deps/lockfile churn.
- GraphCanvas.tsx: SVG render from the sim — draggable + pinnable nodes, curved
  edges, weight-sized shapes, fade-in, animated learned_from dash, risk-path
  lighting / rest dimmed, label collision-avoidance.
- MetricsRail / LearningLoop / ActivityStream / SelectedNodePanel / encoding.ts:
  the mock's rails + stream + detail panel in light shadcn. LearningLoop consumes
  main's PodLearningLoop (steps + activeStep); ActivityStream consumes
  PodGraphActivity (title + detail). SelectedNodePanel adds a Flow section that
  narrates the path through a clicked node (flowNarrative); default copy is
  mode-aware. Edge legend rounded out (editing/touches).
- GraphView polls every 5s and diffs (positions preserved), + ws /api/events nudge.
  Stale selection (node gone across a poll) dropped so the canvas can't dim entirely.

Backend (surgical — main's materializer + buildLoop kept):
- live.ts: headline metric cards derived from the FINAL de-noised graph (Open risk
  paths = distinct collision files; Learned owners = distinct owner engineers)
  instead of raw collision-signature / accepted-outcome counts that inflate with
  test churn (50 -> 4 risk files, 16 -> 1 owner on live). buildLoop untouched.
- demo.ts: metrics realigned to the demo graph (3 owners / 1 risk path / 100%).

Verified: lint + -r typecheck + -r build pass; Playwright confirmed the dynamic
graph (ticks on load, draggable), the loop rail (5 steps, ADAPT active) and
activity stream rendering main's shapes, honest metrics (3/1/100%), and the flow
narrative per node kind — zero page errors.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-28 02:52:26 -07:00
Kartikeya 604bf9d5ac feat(live-conversation): add git-history tools to repo intelligence
Adds repo_recent_commits (history/authorship, optional path or author) and
repo_find_commits (by commit message or pickaxe code search) so the voice
agent can answer who-changed-what and which-commit-introduced-X over the
local karti-ai/podman checkout.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-28 02:17:32 -07:00
Kartikeya 87c271995c feat(live-conversation): add search_repo tool over karti-ai/podman
Voice agent can now search the repo (code, symbols, files) via ripgrep over
the live local checkout of main. GitHub code-search index is empty for this
repo, so back it with the always-current clone instead.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-28 02:05:28 -07:00
Yahya Alhinai 277cee8a7e feat(hermes): add async Gemini handoff jobs 2026-06-28 08:33:52 +00:00
Kartikeya 5ac66c0a02 fix(voice): edge-trigger conflict alerts so Hermes speaks once, not on a loop
Both dedup gates (shouldIntervene per-pod cooldown + hasRecentInterventionForCollision per-file window) were purely time-based, so an unresolved conflict re-alerted every NUDGE_COOLDOWN_MS (30s on prod). Track active conflicts in-memory in PodMan and alert only on the transition into conflict; re-arm when a detection cycle no longer sees it.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-28 01:28:46 -07:00
Yahya Alhinai a80a737ea7 fix(live-conversation): harden agent runtime setup 2026-06-28 08:09:48 +00:00
Yahya Alhinai 97e5af4487 Add member work history and learning docs 2026-06-28 08:06:21 +00:00
Ramis 1adb8413b5 MongoDB plan 2026-06-28 00:41:05 -07:00
Yahya Alhinai 6083f45f05 feat(livekit): upgrade Gemini starter 2026-06-28 07:38:09 +00:00
Yahya Alhinai c4c65f8802 fix(voice): keep LiveKit TTS tracks alive 2026-06-28 07:20:54 +00:00
Kartikeya 46d277d203 feat(frontend): always-visible Enable audio + Enable mic controls
Surface audio-playback unlock and mic publish as persistent buttons in the pod control row (alongside Test audio / Test PodMan voice / Share screen), replacing the conditional 'Sound is off' banner that only appeared after a refresh. Enable mic calls setMicrophoneEnabled, which triggers the browser permission prompt so users can verify their mic is set up right.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-27 23:55:22 -07:00
Yahya Alhinai aaf1dc5ede fix(voice): throttle repeated pod alerts 2026-06-28 06:49:04 +00:00
Yahya Alhinai c1ac687dcf feat(voice): on-demand PodMan voice test + Hermes notify + TTS tuning
Snapshot of in-progress voice work, committed to unblock concurrent edits: speakInRoom + POST voice-test endpoint, Test PodMan voice button (PodView/api), Hermes notify action + scripts/hermes-notify.mjs, agent exits on LiveKit disconnect for auto-restart, TTS playback tuning (subscriber-ready delay, preroll/tail silence, fallback line, microphone source), verify script updates.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-28 06:45:37 +00:00
Kartikeya 7269098ea3 feat(frontend): shared pod-wide test audio
Make the "Test audio" connectivity check pod-wide instead of local to the
publisher. Shared on/off state is derived from the presence of the podman-beat
track across participants (self-syncing on join/leave). Any participant can
stop it: the owner unpublishes directly; non-owners send a new additive
BEAT_STOP data message that the owner honors. Drives the button label, status
line, and status waveform for everyone, and guards against rapid-double-click
double-publish and mid-start unmount leaks.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-27 23:39:34 -07:00
Kartikeya e0757088ef fix(frontend): remove PWA service worker to stop demo reloads
Drop vite-plugin-pwa and add an index.html snippet that unregisters any leftover service worker and clears its caches on load. Continuous deploys during the event plus a self-destroying SW were forcing open tabs to reload mid-demo. Browsers self-heal on next load; re-add a precaching PWA post-event.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-27 23:15:51 -07:00
Kartikeya 1c491866ba fix(frontend): collapse pod join into a single name→Join action
Replace the confusing Join / Add-and-join / +Add trio on PodCard with one flow: type your name, hit Join → added to the roster (deduped server-side) and connected in one step. Removes the join-as-members[0] impersonation footgun where a second person could kick the first.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-27 23:13:17 -07:00
Yahya Alhinai 562bc1979a fix: stabilize livekit gemini voice playback 2026-06-28 05:59:21 +00:00
Yahya Alhinai 721fe2b8d9 feat: use gemini tts for livekit voice 2026-06-28 05:43:38 +00:00
Yahya Alhinai c771e1594c feat: show screen thumbnails in pod streams 2026-06-28 05:33:00 +00:00
Yahya Alhinai 1080bfd85f feat: label screen observations in pod streams 2026-06-28 05:24:35 +00:00
sb-iam 95a9bde5ee Merge pull request #7 from karti-ai/feat/live-graph-glue
fix(graph): readable Team-memory graph (short labels, clean collision labels, file cap)
2026-06-27 22:17:02 -07:00
Yahya Alhinai dc937a783d feat: fold pod controls into workspace body 2026-06-28 05:14:08 +00:00
Ramis aeb75c310e feat: split pod streams into Signals vs Reasoning sections
My/Team streams were one flat lane; source provenance was buried as a
gray badge by the filename. Group each lane into Signals (vision/git
inputs) and Reasoning & decisions (collision/intervention/outcome), and
promote source to a color-coded provenance chip with a readable kind
label. Presentation-only; no shared-type or backend changes.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01VpySDjxpM1usXMEngJRWqG
2026-06-27 22:08:53 -07:00
sb-iam 4427e18bb9 Merge pull request #6 from karti-ai/feat/live-graph-glue
feat(graph): live Team memory graph from real Mongo data
2026-06-27 22:02:05 -07:00
Yahya Alhinai 866558e100 feat: stabilize pod sidebars layout 2026-06-28 04:35:24 +00:00
Ramis 4f012aa54a feat: speak collision voice cues via browser Web Speech API
Agent-published LiveKit audio is unreliable for voice: the track is
short-lived (publish, speak ~3s, unpublish) and blocked by browser
autoplay, so participants heard nothing even though the server published
fine. The VOICE_CUE text already arrives over the data channel, so speak
it in the browser via speechSynthesis instead — instant and reliable.

Prime speechSynthesis from user gestures (Enable sound, Share screen) so
later cues are allowed to play.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01AaCFWMkYQmTcuPsxaaACft
2026-06-27 21:24:06 -07:00
Ramis cfdbbb3ad7 docs: add production deployment & ops section to CLAUDE.md
Document the box topology so future sessions (and teammates' agents) don't
rediscover it the hard way: systemd-managed services (never launch the agent
manually — duplicate podman-hermes identities evict each other and silently
drop interventions), Caddy serving the static frontend from /var/www/podman,
the deploy procedure, and the shared-package build order.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01AaCFWMkYQmTcuPsxaaACft
2026-06-27 21:17:26 -07:00
Ramis 4142876b23 feat: unlock voice audio + terse demo-style collision alerts
Voice generation, critical escalation, and audio publish all worked, but
participants heard nothing: browsers block autoplay of the agent's audio
track until a user gesture. Add the canonical LiveKit unlock — listen for
AudioPlaybackStatusChanged and show an "Enable sound" button that calls
room.startAudio() so PodMan's voice cues are actually heard.

Also make collision alerts short and direct instead of chatty AI prose:
  card:  "Conflict: ram + yahya both on README.md (unpushed). Seen before."
  voice: "Conflict. ram + yahya, both on README.md."

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01AaCFWMkYQmTcuPsxaaACft
2026-06-27 21:08:41 -07:00
Yahya Alhinai 16e959072b feat: route pods by URL slug 2026-06-28 04:07:10 +00:00
Yahya Alhinai 563bc6f8fd feat: add collapsible pod stream sidebars 2026-06-28 04:03:25 +00:00
Yahya Alhinai 59f92f18df feat: add realtime pod activity streams 2026-06-28 03:50:56 +00:00
Ramis e474fef228 fix: detect same-file collisions reliably via basename + git overlap
Live observations showed two engineers both dirty on README.md but zero
collisions firing. Two root causes:

1. normalize() only lowercased and prepended src/, so the same file at
   different path depths ("agent.ts" vs "backend/src/agent.ts") never
   matched. Replace with lowercased-basename matching.
2. Git ground truth (engineer_states.changedFiles) was only used to set
   the unpushed flag, never to match the file. The strongest signal was
   wasted.

Detector now fuses vision currentFile AND git changedFiles into one
file->engineers map, so a collision fires when two people share a dirty
file even if both screens aren't on it at the same instant.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01AaCFWMkYQmTcuPsxaaACft
2026-06-27 20:44:44 -07:00
Yahya Alhinai dd99050be8 fix: prevent agent frame backpressure 2026-06-28 03:42:08 +00:00
Yahya Alhinai d9e6e8cef4 fix: harden agent worker crash handling 2026-06-28 03:38:50 +00:00
85 changed files with 9882 additions and 2151 deletions
+3
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@@ -11,6 +11,7 @@ GEMINI_API_KEY=
# canonical deployment secret name used by DigitalOcean and docs.
GEMINI_VISION_MODEL=gemini-2.0-flash
GEMINI_LIVE_MODEL=gemini-3.1-flash-tts-preview
GEMINI_TTS_VOICE=Charon
GEMINI_EMBEDDING_MODEL=gemini-embedding-001
# --- GitHub (repo state + sync PR artifacts) ---
@@ -32,6 +33,8 @@ NUDGE_COOLDOWN_MS=180000
# --- Frontend (Vite — must be VITE_ prefixed to reach the client) ---
VITE_LIVEKIT_URL=wss://your-project.livekit.cloud
VITE_BACKEND_URL=http://localhost:8787
# Keep off by default so users hear Gemini audio delivered through LiveKit.
VITE_ENABLE_BROWSER_TTS_FALLBACK=false
# --- Deployment verification ---
# Optional override when the deployed SPA and API use different origins.
+2
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@@ -35,6 +35,8 @@ Thumbs.db
coverage/
.cache/
.turbo/
__pycache__/
*.py[cod]
# Ramis
.remember/
+1
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@@ -1,3 +1,4 @@
link-workspace-packages=true
prefer-workspace-packages=true
auto-install-peers=true
prefix=/home/ramis/.npm-global
+5
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@@ -1,7 +1,12 @@
node_modules
.venv
**/.venv
.pytest_cache
**/.pytest_cache
dist
build
pnpm-lock.yaml
.omc
*.log
.agents
examples/livekit-gemini-hacker-starter
+63 -15
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@@ -318,30 +318,31 @@ Everything should serve that outcome.
## Documentation-first enforcement — HARD RULE
**Every line of code must trace back to a task in `docs/PLAN.md` or a spec in `docs/`.**
**Every line of code must trace back to a spec in `docs/`.**
This is not a guideline. This is a gate.
This is not a guideline. This is a gate. The canonical specs are
`docs/gemini.md`, `docs/livekit.md`, `docs/mongodb.md`, `docs/cont_learning.md`,
`docs/hermes.md`, and `docs/digitalocean.md`. `docs/demo.md` is the demo script.
### Before writing any code, verify:
1. **Is this task in `docs/PLAN.md`?** Find the exact task number. If it's not there, stop.
2. **Is the approach consistent with the relevant spec?** Check `docs/gemini.md`, `docs/livekit.md`, `docs/mongodb.md`, `docs/digitalocean.md` as applicable.
3. **Do the file names and API shapes match what's documented?** If the plan says `backend/src/db/states.ts`, do not create `backend/src/database/engineStates.ts` without updating the spec first.
1. **Is the approach consistent with the relevant spec?** Check `docs/gemini.md`, `docs/livekit.md`, `docs/mongodb.md`, `docs/cont_learning.md`, `docs/hermes.md`, `docs/digitalocean.md` as applicable.
2. **Do the file names and API shapes match what's documented?** If a spec says `backend/src/memory/store.ts`, do not create `backend/src/database/engineStates.ts` without updating the spec first.
### If a developer asks for something not in the plan:
### If a developer asks for something not in the specs:
**Do not write the code.** Instead:
1. Say explicitly: _"This isn't in the current plan. Let me understand what you're trying to do."_
1. Say explicitly: _"This isn't in the current specs. Let me understand what you're trying to do."_
2. Ask what problem they're solving and whether it's required for the demo path.
3. Evaluate whether it fits within scope or replaces something planned.
4. If it's valid: **update `docs/PLAN.md` and the relevant spec first**, then proceed to code.
5. If it's scope creep: say so directly and recommend the nearest in-plan alternative.
3. Evaluate whether it fits within scope or replaces something documented.
4. If it's valid: **update the relevant spec first**, then proceed to code.
5. If it's scope creep: say so directly and recommend the nearest in-spec alternative.
### Signs a request is off-plan (stop and consult):
### Signs a request is off-spec (stop and consult):
- Introducing a new file not mentioned in any task's **Files** list
- Changing an API signature documented in a spec (`/ingest`, `/health`, `/pods/:podId/token`, `/pods/:podId/state`)
- Introducing a new file or API route not described in any spec
- Changing a documented API signature (`/health`, `POST /api/token`, `POST /api/outcome`, `GET /api/pods/:id/...`)
- Adding a dependency not in the existing `package.json` files without a clear spec reason
- Building a feature in the **Cut immediately** list
- Touching another engineer's ownership area without explicit cross-team coordination
@@ -359,7 +360,54 @@ This repo is actively used by **4 engineers at the same time**. Claude sessions
### What this means for how you help
- **Assume other files are actively being edited.** Never refactor code outside the immediate task scope without explicit coordination from the user.
- **Treat integration points as contracts.** The shared types in `shared/src/` and the API shapes of `POST /ingest`, `GET /pods/:podId/token`, and `GET /pods/:podId/state` are the interfaces between all teammates — do not change their signatures unilaterally.
- **Treat integration points as contracts.** The shared types in `shared/src/` and the API shapes of `POST /api/token`, `POST /api/outcome`, and the `GET /api/pods/:id/*` routes are the interfaces between all teammates — do not change their signatures unilaterally.
- **Flag merge risk explicitly** before editing a shared file (e.g., `backend/src/index.ts`, `frontend/src/App.tsx`). Say so, then proceed only if the user confirms.
- **Prefer additive changes** — new files, new functions — over modifying existing ones. This minimizes merge conflicts in a concurrent team.
- **When proposing new files**, verify they match the file names listed in the relevant task in `docs/PLAN.md`. Do not invent new paths.
- **When proposing new files**, verify they match the file names and paths described in the relevant spec in `docs/`. Do not invent new paths.
---
## Production deployment & ops — READ BEFORE TOUCHING THE SERVER
The live system runs on a DigitalOcean droplet at `165.22.129.249`
(public: `https://165-22-129-249.sslip.io/` and `podman.live`). Repo on box:
`/root/podman`. SSH is `root@165.22.129.249` (password auth; ask the team for
the password — it is **not** stored in the repo).
### HARD RULE: manage processes with systemd, never manual `node`
The backend API and the LiveKit agent run as **systemd services** with
`Restart=always`:
- `podman-platform-api.service``node backend/dist/server.js` (cwd `/root/podman`)
- `podman-platform-agent.service``node dist/agent.js` (cwd `/root/podman/backend`,
`Environment=POD_ROOM=demo-pod`, `EnvironmentFile=/root/podman/backend/.env`)
**Do not start the agent or server by hand** (`node ...`, `nohup`, `setsid`,
`tsx`). The agent joins LiveKit with a fixed identity (`podman-hermes`); a
second instance with the same identity **evicts the first from the room**, and
they flap forever — silently dropping every intervention/voice update. systemd
keeps exactly one of each alive. If you launched a manual process, kill it and
let systemd own the singleton.
### Frontend is static, served by Caddy
The frontend is a Vite build served by **Caddy** from `/var/www/podman`
(`/etc/caddy/Caddyfile`). Caddy reverse-proxies `/api/*` and `/health` to
`127.0.0.1:8787`. The LiveKit URL reaches the browser via the backend
`/api/token` response, **not** `VITE_LIVEKIT_URL` (intentionally empty in
`frontend/.env`).
### Deploy procedure (run on the box)
```bash
cd /root/podman && git pull && pnpm -r build
rm -rf /var/www/podman/* && cp -r frontend/dist/* /var/www/podman/
systemctl restart podman-platform-api podman-platform-agent
systemctl status podman-platform-agent --no-pager # verify it came up
```
`pnpm -r build` order matters: `@podman/shared` builds first, or backend/frontend
typecheck fails with "Cannot find module '@podman/shared'". MongoDB is
**mandatory** — both services ping Mongo at boot and exit loudly if it is
unreachable (intentional; fix the `.env` creds, do not re-add silent fallbacks).
+201 -115
View File
@@ -1,32 +1,99 @@
# PodMan - Real-time AI Team Coordination Agent
# PodMan — A Pair Programmer for Engineering Teams
[![TypeScript](https://img.shields.io/badge/TypeScript-6.x-3178C6?logo=typescript&logoColor=white)](https://www.typescriptlang.org/)
[![React](https://img.shields.io/badge/React-19-61DAFB?logo=react&logoColor=111)](https://react.dev/)
[![LiveKit](https://img.shields.io/badge/LiveKit-realtime-000000?logo=livekit&logoColor=white)](https://livekit.io/)
[![MongoDB](https://img.shields.io/badge/MongoDB-memory-47A248?logo=mongodb&logoColor=white)](https://www.mongodb.com/)
[![Gemini](https://img.shields.io/badge/Gemini-vision-8E75B2?logo=googlegemini&logoColor=white)](https://ai.google.dev/)
[![DigitalOcean](https://img.shields.io/badge/DigitalOcean-deploy-0080FF?logo=digitalocean&logoColor=white)](https://www.digitalocean.com/)
[LiveKit](https://livekit.io/)
[MongoDB](https://www.mongodb.com/)
[Gemini](https://ai.google.dev/)
[DigitalOcean](https://www.digitalocean.com/)
**2026 AI Engineer World's Fair Hackathon** - Track: **Continual Learning**
**2026 AI Engineer World's Fair Hackathon — Theme: Continual Learning**
PodMan is a non-intrusive AI teammate for active coding. It watches consented
LiveKit screen-share context, combines it with local git truth and shared team
memory, and coordinates teammates before a problem becomes a GitHub problem.
## The bottleneck moved
> GitHub sees pushed work. PodMan sees work while it is still happening.
Models keep getting better, and more people can build software than ever before.
Writing the code is no longer the hard part — engineering ability is not the
ceiling anymore.
PodMan is not a dashboard and not a raw screenshot analyzer. Its job is to
notice useful coordination moments, remember what helped before, and route the
least intrusive intervention: a small card first, a Hermes message when teammates
need coordination, and voice only for urgent escalation.
What slows teams down now is everything *around* the code: manually checking each
other's work, re-planning when two people drift into the same change, and
constantly asking "what are you working on?" just to stay in sync. People
naturally want to build together — so as more people start coding, there will be
thousands of teams bottlenecked not by skill, but by the **speed of human
coordination.**
**PodMan is a pair programmer for the whole team.** It watches what every member
is doing in real time, learns your team's decisions and working dynamics, and
gives everyone a live picture of where the others are — without anyone having to
stop and ask.
### The five-minute meeting that isn't
> **What people assume:** "Quick question, five minutes."
> **What actually happens:** the interrupted developer loses their place and needs
> 1525 minutes to climb back into deep focus. That five-minute ask quietly costs
> half an hour — for *two* people.
Multiply that by every teammate, every day, and coordination overhead — not
engineering skill — becomes the real ceiling on how fast a team ships.
PodMan removes the reason to interrupt. Because it already knows who is touching
which file, what's still unpushed, and what each person is in the middle of, any
teammate can see another's status instantly — no tap on the shoulder, no standup,
no recovery tax. And it gets better as it goes: every accept or dismiss teaches
it what your team actually cares about, so it nudges less and helps more over
time.
> GitHub sees pushed work. PodMan sees work while it is still happening — and
> remembers what helped.
---
## How it learns
The learning loop is the product, not a side feature. It runs with almost no
extra work from anyone — the only human signal is a single accept/dismiss tap on
a card.
```
observe → detect → RECALL prior outcomes → policy gate → act → record outcome
└──────────────────────────── feeds next recall ───────────────────────────┘
```
| Stage | What happens | Code |
| ------------------------- | ----------------------------------------------------------------------------------------------------------------------- | ----------------------------------- |
| **Observe** | Gemini Vision turns each screen frame into structured work context (file, symbol, activity, unpushed hints) | `backend/src/vision/gemini.ts` |
| **Detect** | Same file touched by 2+ engineers with unpushed work → a coordination event | `backend/src/collision/detector.ts` |
| **Recall (memory)** | Embed the event, query MongoDB Atlas `$vectorSearch` for similar past events, attach their prior intervention + outcome | `backend/src/memory/vectors.ts` |
| **Policy gate (adapt)** | A dismissed false alarm stays silent; a confirmed real catch escalates to critical; a per-pod cooldown prevents nagging | `backend/src/memory/policy.ts` |
| **Act (least intrusive)** | Reuse the action kind that was accepted before; default to a card, escalate to a Hermes message, voice only when urgent | `backend/src/action/hermes.ts` |
| **Record (feedback)** | Accept/dismiss + "was it real?" is written back to memory, closing the loop for next time | `backend/src/memory/store.ts` |
A few things make this real learning rather than a static prompt:
- It adapts from real teammate behavior during a real session, not an offline
dataset.
- It gets more useful as the `outcomes` collection grows — better recall, fewer
false alarms.
- It needs one tap. No labeling, no config, no retraining.
- The mechanism is memory: Atlas vector recall plus an outcome-conditioned
policy, with an exact-signature fallback when vector search isn't available.
In practice: a false alarm gets dismissed once, and the same pattern stays quiet
next time. A real conflict gets accepted once, and when it recurs PodMan recalls
it and escalates straight to a spoken "seen before" cue.
---
## Architecture
PodMan is split into a browser PWA, an HTTP API service, a LiveKit agent worker,
and a persistence/action layer. The screen signal flows through LiveKit, not a
manual screenshot upload endpoint.
A browser PWA, an HTTP API service, LiveKit agent workers, and a
memory/action layer. The screen signal flows through LiveKit, never a manual
screenshot upload.
```mermaid
flowchart LR
@@ -39,17 +106,19 @@ flowchart LR
subgraph Realtime["LiveKit room"]
Room["Pod room"]
Data["Data topic<br/>podman.intervention"]
Audio["Audio tracks<br/>Gemini TTS + Lyria"]
end
subgraph Backend["PodMan backend"]
API["API service<br/>/api/token /api/pods /api/outcome"]
Agent["Agent worker<br/>@livekit/rtc-node"]
Agent["Vision agent worker<br/>@livekit/rtc-node"]
Convo["Live conversation agent<br/>Gemini Live API (Python)"]
Vision["Gemini Vision<br/>structured JSON"]
Detector["Coordination detector<br/>collisions, blockers, dead ends"]
Detector["Coordination detector<br/>collisions, blockers"]
end
subgraph Memory["Memory and actions"]
Mongo["MongoDB<br/>observations, outcomes, pods"]
Mongo["MongoDB Atlas<br/>observations, outcomes, vectors"]
GitHub["GitHub<br/>repo state + sync PR artifact"]
Hermes["Hermes action layer<br/>cards, messages, urgent voice"]
end
@@ -66,23 +135,36 @@ flowchart LR
Detector --> GitHub
Detector --> Hermes
Hermes --> Data
Hermes --> Audio
Convo --> Audio
Convo --> Mongo
Data --> PWA
Audio --> PWA
PWA -->|"POST /api/outcome"| API
API --> Mongo
```
### Runtime shape
| Layer | Runtime | Responsibility |
| ------------ | ------------------- | --------------------------------------------------------------------------------------------------- |
| Frontend PWA | React + Vite | Join pods, publish screen share, show live room state, render interventions |
| Backend API | Express | Mint LiveKit tokens, manage pods, record outcomes, expose memory stats, create sync PR artifacts |
| Agent worker | `@livekit/rtc-node` | Join the room as PodMan, subscribe to screen-share tracks, sample frames, publish intervention data |
| Vision loop | Gemini | Convert sampled IDE frames into structured work context |
| Team memory | MongoDB | Store observations, collisions, interventions, outcomes, pods, and git watcher state |
| Git watcher | Node script | Poll each laptop's local git state so dirty/unpushed work is not guessed from vision alone |
| Action layer | Hermes concept | Route cards, teammate messages, optional research summaries, and urgent voice escalation |
| Deployment | DigitalOcean | Static site for frontend, HTTP service for API, worker for the LiveKit agent |
| ----------------------- | ----------------------------------------- | --------------------------------------------------------------------------------------- |
| Frontend PWA | React + Vite | Join pods, publish screen share, render interventions, play audio |
| Backend API | Express | Mint LiveKit tokens, manage pods, record outcomes, expose memory stats, create sync PRs |
| Vision agent | `@livekit/rtc-node` | Subscribe to screen-share tracks, sample frames, publish intervention data |
| Live conversation agent | LiveKit Agents (Python) + Gemini Live API | Real-time voice Q&A with function tools over repo, git, and memory |
| Perception | Gemini Vision (`gemini-2.0-flash`) | Sampled IDE frames → structured work context |
| Team memory | MongoDB Atlas | Observations, collisions, interventions, outcomes, vector embeddings |
| Git watcher | Node script | Report each laptop's dirty/unpushed state as ground truth |
| Action layer | Hermes | Cards, teammate messages, Gemini TTS urgent voice, Lyria background score |
| Deployment | DigitalOcean | Static frontend, API service, agent workers |
### Data flow
@@ -96,139 +178,150 @@ sequenceDiagram
participant Gemini as Gemini Vision
participant Mongo as MongoDB Memory
participant Hermes as Hermes / Action Layer
participant GH as GitHub
Dev->>API: POST /api/token
API-->>Dev: LiveKit URL + JWT
Dev->>LK: Join pod room
Dev->>LK: Publish screen-share track
Dev->>LK: Join pod room + publish screen share
Agent->>LK: Subscribe to screen-share video
Agent->>Gemini: Sampled JPEG frame
Gemini-->>Agent: Structured work context
Agent->>Mongo: Record observation
Agent->>GH: Read public repo state
Agent->>Mongo: Recall prior patterns
Agent->>Hermes: Create intervention
Hermes->>LK: Publish small data packet
LK-->>Dev: Render card / message / urgent voice cue
Dev->>API: POST /api/outcome
Agent->>Mongo: Recall prior patterns (vector search)
Mongo-->>Agent: Prior intervention + outcome
Agent->>Hermes: Create intervention (gated by policy)
Hermes->>LK: Publish card / message / Gemini TTS voice
LK-->>Dev: Render intervention
Dev->>API: POST /api/outcome (accept / dismiss)
API->>Mongo: Store learning signal
```
### Why this architecture matters
- **LiveKit is the realtime spine.** Screens and intervention data move through a
shared room, so PodMan can react before code is pushed.
- **Gemini is the perception layer.** The agent samples frames and asks Gemini
for structured JSON such as current file, symbol, activity, unpushed hints,
and confidence.
- **MongoDB is the learning loop.** Outcomes and repeated patterns make later
interventions quieter and more useful.
- **Local git is the truth source.** The watcher reports dirty files and branch
state directly from each laptop, which avoids relying on vision for facts
GitHub cannot see.
- **Hermes keeps it non-intrusive.** Most events are cards. Team messages and
voice are escalation paths, not the default.
---
## Built with
Everything below maps to code in this repo.
**Gemini** does the perception, the voice, and the memory:
| Use | Model | Where |
| --------------------------------------------------------------------------- | ------------------------------- | ------------------------------------------ |
| Real-time voice agent (talk to PodMan, answered with repo/git/memory tools) | `gemini-3.1-flash-live-preview` | `agents/podman-live-conversation/agent.py` |
| Spoken urgent alerts over LiveKit | `gemini-3.1-flash-tts-preview` | `backend/src/voice/live.ts` |
| Screen understanding → structured work context | `gemini-2.0-flash` | `backend/src/vision/gemini.ts` |
| Per-pod background music (Interactions API) | `lyria-3-clip-preview` | `backend/src/voice/music.ts` |
| Embeddings for memory recall | `gemini-embedding-001` | `backend/src/memory/vectors.ts` |
**LiveKit** is the real-time layer: screen-share tracks are the input, a typed
data channel (`podman.intervention`) carries cards and messages, audio tracks
carry the spoken alerts and music, and a Python LiveKit Agents worker runs the
live conversation agent in the room.
**MongoDB Atlas** is the memory: `$vectorSearch` recalls similar past events
(exact-signature fallback when needed), and the `outcomes` collection drives the
policy that decides whether and how to act.
**DigitalOcean** hosts it: a static frontend, the API service, and the agent
workers, supervised by systemd. Mongo connectivity is required at boot — services
fail loudly rather than degrade silently.
---
## How it works
1. Engineers open the PWA and join a pod room.
2. The backend API mints a LiveKit token via `POST /api/token`.
3. The PWA publishes screen share into the pod room when the engineer chooses
"Share my screen".
4. The PodMan agent worker joins the same room and subscribes to screen-share
tracks.
5. The agent samples frames, sends them to Gemini Vision, and records structured
2. The API mints a LiveKit token via `POST /api/token`.
3. The PWA publishes screen share into the room on "Share my screen".
4. The PodMan vision agent subscribes to the screen-share tracks.
5. The agent samples frames, sends them to Gemini Vision, records structured
observations in MongoDB.
6. Each engineer runs the git watcher so PodMan has deterministic dirty/unpushed
state.
7. The detector combines live screen context, git truth, GitHub state, and team
6. Each engineer runs the git watcher so PodMan has deterministic
dirty/unpushed truth.
7. The detector fuses live screen context, git truth, GitHub state, and recalled
memory.
8. PodMan sends the smallest useful intervention: card first, Hermes message for
coordination, voice only when urgent.
9. The user's response is saved as an outcome, closing the continual-learning
loop.
8. The policy gate decides whether and how to act — card, Hermes message, or
urgent voice — reusing what worked before.
9. Urgent escalations are spoken via Gemini TTS over a LiveKit audio track.
10. The teammate's accept/dismiss is saved as an outcome, closing the
continual-learning loop.
Separately, any teammate can start a **live voice conversation** with PodMan
(Gemini Live API) to ask about current work, git state, or where something lives
in the repo — answered with real tool calls, not guesses.
---
## Public interfaces
| Interface | Purpose |
| ----------------------------------------------------------- | ---------------------------------------------- |
| ----------------------------------------------------------- | ------------------------------------------------- |
| `GET /health` | API health check |
| `POST /api/token` | Mint LiveKit room tokens |
| `POST /api/sync-pr` | Create a visible sync PR artifact |
| `POST /api/outcome` | Store accepted/dismissed intervention outcomes |
| `GET /api/memory/stats` | Show memory collection counts |
| `GET /api/memory/stats` | Memory collection counts (live learning evidence) |
| `GET/POST/PATCH/DELETE /api/pods` | Pod CRUD |
| `POST/DELETE /api/pods/:id/members` | Pod membership |
| LiveKit topic `podman.intervention` | Intervention data channel |
| Wire messages `COLLISION`, `ACK`, `GIT_REPORT`, `VOICE_CUE` | Shared agent/PWA message contract |
| Wire messages `COLLISION`, `ACK`, `GIT_REPORT`, `VOICE_CUE` | Agent/PWA contract |
---
## Monorepo layout
| Folder | What |
| ----------- | -------------------------------------------------------------------------------- |
| `frontend/` | React + Vite PWA for pods, LiveKit room UI, screen share, and intervention cards |
| `backend/` | Express API plus separate LiveKit agent worker |
| ----------- | -------------------------------------------------------------------------- |
| `frontend/` | React + Vite PWA pods, LiveKit room UI, screen share, intervention cards |
| `backend/` | Express API plus the LiveKit vision agent worker |
| `agents/` | Python LiveKit Agents worker for the Gemini Live conversation agent |
| `shared/` | Shared TypeScript types and LiveKit data message contracts |
| `database/` | MongoDB setup and seed utilities |
| `infra/` | DigitalOcean App Platform specs and Dockerfile |
| `scripts/` | Local git watcher for demo laptops |
| `docs/` | Canonical plan and deeper sponsor/integration notes |
| `infra/` | DigitalOcean specs, Caddyfile, systemd units |
| `scripts/` | Local git watcher + deploy/verify tooling |
| `docs/` | Integration specs and the demo script |
---
## Docs
| File | What |
| ---------------------------------------------- | ----------------------------------------- |
| [`docs/PLAN.md`](docs/PLAN.md) | Canonical master plan and source of truth |
| [`docs/idea.md`](docs/idea.md) | Product concept and demo framing |
| [`docs/livekit.md`](docs/livekit.md) | LiveKit notes and room model |
| [`docs/gemini.md`](docs/gemini.md) | Gemini vision and voice notes |
| [`docs/mongodb.md`](docs/mongodb.md) | MongoDB memory design |
| [`docs/digitalocean.md`](docs/digitalocean.md) | Deployment notes |
| [`docs/demo-setup.md`](docs/demo-setup.md) | Demo laptop and stage checklist |
---
## Prizes targeted
- **Best Gemini:** structured vision over live IDE context, with voice as an
optional escalation path.
- **Best LiveKit:** realtime screen-share tracks, presence, data packets, and
eventual voice in one pod room.
- **Best DigitalOcean:** frontend static site, API service, and LiveKit agent
worker deployment.
- **MongoDB + Voyage story:** persistent memory first, vector recall once exact
signature recall is proven.
---
## Quick start
```bash
cp .env.example .env
# fill in LIVEKIT_*, GEMINI_*, GITHUB_*, and MONGODB_URI
# fill in LIVEKIT_*, GEMINI_*, GITHUB_*, MONGODB_URI
pnpm install
pnpm --filter @podman/backend dev # API on :8787
pnpm --filter @podman/backend dev:agent # PodMan LiveKit agent
pnpm --filter @podman/backend dev:agent # PodMan LiveKit vision agent
pnpm --filter @podman/frontend dev # PWA on :5173
```
The live conversation agent (Gemini Live API) runs from `agents/podman-live-conversation/`.
---
## Git watcher - run this on every demo laptop
Each engineer runs this in a terminal before the demo. It polls the local git
working tree every 15 seconds and writes git state to MongoDB so PodMan has
deterministic dirty/unpushed truth that vision alone cannot reliably infer.
## Git watcher — run on every demo laptop
Each engineer runs this before the demo. It polls the local git working tree
every 15 seconds and writes git state to MongoDB so PodMan has deterministic
dirty/unpushed truth that vision alone cannot reliably infer.
```bash
# from the repo root
@@ -243,12 +336,5 @@ node scripts/podman-agent.mjs --name bob --pod demo-pod
node scripts/podman-agent.mjs --name carol --pod demo-pod
```
The script logs one line per cycle: branch, changed file count, and latest
commit. Leave it running in a background terminal tab throughout the session.
Stop with `Ctrl+C`.
**Requirements:**
- `MONGODB_URI` must be exported in the shell or present in `backend/.env`.
- Run `pnpm install` first so workspace dependencies are available.
- Run from the repo root.
**Requirements:** `MONGODB_URI` exported (or in `backend/.env`), `pnpm install`
run first, launched from the repo root.
@@ -0,0 +1,8 @@
LIVEKIT_URL=wss://stackauthnov28-kt4gd6fq.livekit.cloud
LIVEKIT_API_KEY=
LIVEKIT_API_SECRET=
GOOGLE_API_KEY=
GEMINI_CONVERSATION_MODEL=gemini-3.1-flash-live-preview
GEMINI_CONVERSATION_VOICE=Aoede
PODMAN_BACKEND_URL=http://127.0.0.1:8787
INTERNAL_AGENT_TOKEN=
+22
View File
@@ -0,0 +1,22 @@
# PodMan Live Conversation Agent
Private 1:1 LiveKit Agent worker for PodMan Live Conversation.
Run locally:
```bash
cd agents/podman-live-conversation
uv sync --extra test
cp .env.example .env.local
uv run agent.py dev
```
Required env:
- `LIVEKIT_URL`
- `LIVEKIT_API_KEY`
- `LIVEKIT_API_SECRET`
- `GOOGLE_API_KEY` or `GEMINI_API_KEY`
- `PODMAN_BACKEND_URL`
- `INTERNAL_AGENT_TOKEN`
+439
View File
@@ -0,0 +1,439 @@
import asyncio
import json
import logging
import os
import subprocess
import time
from typing import Any
from urllib import error, request
from dotenv import load_dotenv
from livekit import agents
from livekit.agents import Agent, AgentServer, AgentSession, RunContext, function_tool
from livekit.plugins import google
load_dotenv(".env.local")
if not os.getenv("GOOGLE_API_KEY") and os.getenv("GEMINI_API_KEY"):
os.environ["GOOGLE_API_KEY"] = os.environ["GEMINI_API_KEY"]
logger = logging.getLogger("podman-live-conversation")
AGENT_NAME = "podman-live-conversation"
MODEL = os.getenv("GEMINI_CONVERSATION_MODEL", "gemini-3.1-flash-live-preview")
VOICE = os.getenv("GEMINI_CONVERSATION_VOICE", "Aoede")
BACKEND_URL = os.getenv("PODMAN_BACKEND_URL", "http://127.0.0.1:8787").rstrip("/")
INTERNAL_AGENT_TOKEN = os.getenv("INTERNAL_AGENT_TOKEN", "")
REPO_SLUG = os.getenv("PODMAN_REPO_SLUG", "karti-ai/podman")
def _resolve_repo_root() -> str:
override = os.getenv("PODMAN_REPO_ROOT")
if override:
return override
here = os.path.dirname(os.path.abspath(__file__))
try:
out = subprocess.run(
["git", "-C", here, "rev-parse", "--show-toplevel"],
capture_output=True,
text=True,
timeout=5,
)
if out.returncode == 0 and out.stdout.strip():
return out.stdout.strip()
except Exception:
pass
return os.path.abspath(os.path.join(here, "..", ".."))
REPO_ROOT = _resolve_repo_root()
INSTRUCTIONS = """You are PodMan, a concise real-time engineering teammate.
You are in a private 1:1 voice conversation with one developer.
Use PodMan tools before making claims about current work, git state, collisions, blockers,
team memory, or recent decisions. Keep spoken answers short. Prefer one useful next step.
If a critical collision event arrives, stop the current turn and state the alert immediately.
To find code, files, symbols, or how something is implemented in the repository, call search_repo.
For git commit history, authorship, recent changes, or which commit introduced something, call
repo_recent_commits or repo_find_commits.
For complex repository, terminal, GitHub, MongoDB, build, install, deploy, or multi-step tasks,
call delegate_to_hermes. Do not run those actions directly. If the user says stop, wait, cancel,
or change of plans while Hermes is running, call abort_active_hermes_job immediately.
Do not reveal raw secrets, API keys, private tokens, or another teammate's private notes."""
def parse_metadata(raw: str | None) -> dict[str, str]:
try:
data = json.loads(raw or "{}")
except json.JSONDecodeError:
return {}
return {str(k): str(v) for k, v in data.items() if v is not None}
def request_json(path: str, *, method: str = "GET", body: dict[str, Any] | None = None) -> Any:
if not INTERNAL_AGENT_TOKEN:
raise RuntimeError("INTERNAL_AGENT_TOKEN is not configured")
data = None if body is None else json.dumps(body).encode("utf-8")
req = request.Request(
f"{BACKEND_URL}{path}",
data=data,
method=method,
headers={
"authorization": f"Bearer {INTERNAL_AGENT_TOKEN}",
"content-type": "application/json",
},
)
try:
with request.urlopen(req, timeout=5) as res:
payload = res.read().decode("utf-8")
return json.loads(payload) if payload else {}
except error.HTTPError as exc:
detail = exc.read().decode("utf-8", "replace")
raise RuntimeError(f"PodMan backend returned {exc.code}: {detail}") from exc
async def _run_git(args: list[str], timeout: float = 15.0) -> tuple[int, str, str]:
"""Run a read-only git command inside the repo checkout and capture its output."""
try:
proc = await asyncio.create_subprocess_exec(
"git",
"-C",
REPO_ROOT,
*args,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
)
out, err = await asyncio.wait_for(proc.communicate(), timeout=timeout)
except asyncio.TimeoutError:
return 124, "", "git command timed out"
except FileNotFoundError:
return 127, "", "git is not available on this host"
return proc.returncode, out.decode("utf-8", "replace"), err.decode("utf-8", "replace")
class PodManLiveAgent(Agent):
def __init__(self, pod_id: str, identity: str, session_id: str, conversation_room: str) -> None:
super().__init__(instructions=INSTRUCTIONS)
self.pod_id = pod_id
self.identity = identity
self.session_id = session_id
self.conversation_room = conversation_room
self.active_hermes_job_id: str | None = None
self.last_spoken_progress_at = 0.0
@function_tool()
async def get_active_pod_context(self, context: RunContext) -> str:
"""Get the current PodMan context for this developer and pod."""
data = await asyncio.to_thread(
request_json,
f"/api/internal/pods/{self.pod_id}/live-context?identity={self.identity}",
)
return json.dumps(data, ensure_ascii=True)[:12000]
@function_tool()
async def record_conversation_note(self, context: RunContext, note: str, kind: str = "summary") -> str:
"""Store a useful decision, outcome, or preference learned during this conversation."""
await asyncio.to_thread(
request_json,
f"/api/internal/pods/{self.pod_id}/live-conversation/{self.session_id}/note",
method="POST",
body={"identity": self.identity, "kind": kind, "note": note},
)
return "Saved to PodMan memory."
@function_tool()
async def get_recent_changes(self, context: RunContext) -> str:
"""Get recent local git and activity signals for this developer."""
data = await asyncio.to_thread(
request_json,
f"/api/internal/pods/{self.pod_id}/live-context?identity={self.identity}",
)
focused = {
"identity": data.get("identity"),
"currentGitState": data.get("currentGitState"),
"memberHistory": data.get("memberHistory"),
"recentCollisions": data.get("recentCollisions"),
}
return json.dumps(focused, ensure_ascii=True)[:8000]
@function_tool()
async def search_team_memory(self, context: RunContext, query: str) -> str:
"""Search current compact team memory for information relevant to a query."""
data = await asyncio.to_thread(
request_json,
f"/api/internal/pods/{self.pod_id}/live-context?identity={self.identity}",
)
haystack = json.dumps(data, ensure_ascii=True)
query_terms = [term.lower() for term in query.split() if len(term) > 2]
if not query_terms:
return haystack[:6000]
snippets = []
lower = haystack.lower()
for term in query_terms[:8]:
idx = lower.find(term)
if idx >= 0:
snippets.append(haystack[max(0, idx - 400) : idx + 1200])
return "\n---\n".join(snippets)[:8000] or haystack[:6000]
@function_tool()
async def search_repo(self, context: RunContext, query: str, max_results: int = 12) -> str:
"""Search the team's code repository (github.com/karti-ai/podman) for code, symbols,
filenames, config, or any text. Use this to find where something is implemented or which
files mention a term before answering questions about the codebase. Searches the live
local checkout of the main branch, so results are always current.
"""
cleaned = " ".join(query.split()).strip()
if not cleaned:
return "Provide a non-empty search query."
limit = max(1, min(int(max_results or 12), 40))
cmd = [
"rg",
"--line-number",
"--no-heading",
"--color",
"never",
"--smart-case",
"--max-count",
"3",
"--max-columns",
"240",
"-g",
"!*.lock",
"-g",
"!pnpm-lock.yaml",
"-g",
"!uv.lock",
"-g",
"!*.min.*",
"--",
cleaned,
REPO_ROOT,
]
try:
proc = await asyncio.create_subprocess_exec(
*cmd,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
)
stdout, stderr = await asyncio.wait_for(proc.communicate(), timeout=15)
except asyncio.TimeoutError:
return "Repo search timed out. Try a more specific query."
except FileNotFoundError:
return "Repo search is unavailable on this host (ripgrep is not installed)."
if proc.returncode not in (0, 1): # rg: 0=match, 1=no match, 2=error
return f"Repo search failed: {stderr.decode('utf-8', 'replace')[:300]}"
prefix = REPO_ROOT + os.sep
lines: list[str] = []
for line in stdout.decode("utf-8", "replace").splitlines():
lines.append(line[len(prefix) :] if line.startswith(prefix) else line)
if len(lines) >= limit:
break
if not lines:
return f'No matches for "{cleaned}" in {REPO_SLUG}.'
body = "\n".join(lines)
return f'Matches for "{cleaned}" in {REPO_SLUG} (path:line):\n{body}'[:7000]
@function_tool()
async def repo_recent_commits(
self, context: RunContext, path: str = "", author: str = "", limit: int = 15
) -> str:
"""Show recent git commit history for github.com/karti-ai/podman: who committed what and when.
Optionally scope to a file or folder (path) or filter by author name/email (author).
Use this for questions about recent changes, authorship, or a specific file's history.
"""
n = max(1, min(int(limit or 15), 50))
args = [
"log",
f"--max-count={n}",
"--no-color",
"--date=short",
"--pretty=format:%h | %an | %ad | %s",
]
if author.strip():
args.append(f"--author={author.strip()}")
if path.strip():
args += ["--", path.strip()]
code, out, err = await _run_git(args)
if code != 0:
return f"Git history lookup failed: {err.strip()[:300] or 'unknown error'}"
out = out.strip()
if not out:
scope = f" for {path.strip()}" if path.strip() else ""
who = f" by {author.strip()}" if author.strip() else ""
return f"No commits found{scope}{who}."
return f"Recent commits in {REPO_SLUG} (hash | author | date | subject):\n{out}"[:7000]
@function_tool()
async def repo_find_commits(
self, context: RunContext, query: str, by: str = "message", limit: int = 15
) -> str:
"""Find commits in github.com/karti-ai/podman. by='message' searches commit messages;
by='code' finds commits that added or removed the query text in the code (pickaxe).
Use by='code' for "which commit introduced X"; use by='message' for "commits about X".
"""
cleaned = " ".join(query.split()).strip()
if not cleaned:
return "Provide a non-empty query."
n = max(1, min(int(limit or 15), 50))
args = [
"log",
f"--max-count={n}",
"--no-color",
"--date=short",
"--pretty=format:%h | %an | %ad | %s",
]
mode = by.strip().lower()
if mode == "code":
args.append(f"-S{cleaned}")
else:
mode = "message"
args += ["-i", f"--grep={cleaned}"]
code, out, err = await _run_git(args)
if code != 0:
return f"Commit search failed: {err.strip()[:300] or 'unknown error'}"
out = out.strip()
if not out:
return f'No commits found matching "{cleaned}" (by {mode}).'
return (
f'Commits in {REPO_SLUG} matching "{cleaned}" (by {mode}) — hash | author | date | subject:\n{out}'[
:7000
]
)
@function_tool()
async def delegate_to_hermes(
self,
context: RunContext,
prompt: str,
context_scope: str = "current_repo",
target_repository: str = "",
risk_level: str = "read_only",
requires_confirmation: bool = False,
success_criteria: list[str] | None = None,
) -> str:
"""Hand off a complex engineering task to Hermes, PodMan's autonomous backend execution engine.
Use this for filesystem, terminal, GitHub, MongoDB, build, install, deploy, test,
or multi-step repository tasks. Do not use this for simple conversational answers.
"""
body = {
"prompt": prompt,
"contextScope": context_scope,
"targetRepository": target_repository or "karti-ai/podman",
"riskLevel": risk_level,
"requiresConfirmation": requires_confirmation,
"successCriteria": success_criteria or ["Hermes completes the requested inspection."],
"podId": self.pod_id,
"identity": self.identity,
"sessionId": self.session_id,
"conversationRoom": self.conversation_room,
}
job = await asyncio.to_thread(request_json, "/api/internal/hermes/jobs", method="POST", body=body)
self.active_hermes_job_id = str(job["id"])
return json.dumps(
{
"status": "accepted",
"job_id": self.active_hermes_job_id,
"spoken_ack": "Hermes is starting that now. I will keep you posted.",
},
ensure_ascii=True,
)
@function_tool()
async def abort_active_hermes_job(self, context: RunContext, reason: str = "User changed plans") -> str:
"""Abort the currently running Hermes job immediately."""
if not self.active_hermes_job_id:
return "No active Hermes job is running."
job = await asyncio.to_thread(
request_json,
f"/api/internal/hermes/jobs/{self.active_hermes_job_id}/abort",
method="POST",
body={"reason": reason},
)
return json.dumps(
{
"status": job.get("status", "aborting"),
"job_id": self.active_hermes_job_id,
"spoken_ack": "Stopped. Hermes is aborting the job before making further changes.",
},
ensure_ascii=True,
)
def should_speak_progress(self, event: dict[str, Any]) -> bool:
event_type = event.get("type")
if event_type in {"completed", "failed", "aborted", "needs_confirmation"}:
return True
if event_type not in {"heartbeat", "step_started", "step_completed"}:
return False
monotonic = time.monotonic()
if monotonic - self.last_spoken_progress_at < 8:
return False
self.last_spoken_progress_at = monotonic
return True
server = AgentServer()
@server.rtc_session(agent_name=AGENT_NAME)
async def entrypoint(ctx: agents.JobContext):
metadata = parse_metadata(getattr(ctx.job, "metadata", None))
pod_id = metadata.get("podId", "demo-pod")
identity = metadata.get("identity", "developer")
session_id = metadata.get("sessionId", "unknown")
session = AgentSession(
llm=google.realtime.RealtimeModel(
model=MODEL,
voice=VOICE,
),
)
agent = PodManLiveAgent(
pod_id=pod_id,
identity=identity,
session_id=session_id,
conversation_room=ctx.room.name,
)
def on_data_received(*args: Any):
payload = args[0] if args else b""
if isinstance(payload, str):
raw = payload
else:
raw = bytes(payload).decode("utf-8", "replace")
try:
msg = json.loads(raw)
except json.JSONDecodeError:
return
msg_type = msg.get("type")
if msg_type == "HERMES_JOB_EVENT":
event = msg.get("event") or {}
summary = str(event.get("message") or "").strip()
if str(event.get("type")) in {"completed", "failed", "aborted"}:
agent.active_hermes_job_id = None
elif msg_type == "LIVE_CONVERSATION_EVENT":
event = msg.get("event") or {}
summary = str(event.get("summary") or "").strip()
else:
return
if not summary:
return
async def interrupt_and_say() -> None:
try:
if msg_type == "LIVE_CONVERSATION_EVENT":
await session.interrupt(force=True)
except Exception as exc:
logger.warning("interrupt failed: %s", exc)
if msg_type == "LIVE_CONVERSATION_EVENT" or agent.should_speak_progress(event):
await session.say(summary, allow_interruptions=True, add_to_chat_ctx=True)
asyncio.create_task(interrupt_and_say())
ctx.room.on("data_received", on_data_received)
await session.start(room=ctx.room, agent=agent)
await ctx.connect()
if __name__ == "__main__":
agents.cli.run_app(server)
@@ -0,0 +1,19 @@
[project]
name = "podman-live-conversation"
version = "0.1.0"
description = "PodMan private LiveKit/Gemini live conversation agent"
requires-python = ">=3.10,<3.14"
dependencies = [
"livekit-agents[google]>=1.6.4,<1.7",
"python-dotenv>=1.0.0",
]
[project.optional-dependencies]
test = ["pytest>=8.0.0"]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["."]
@@ -0,0 +1,26 @@
from agent import PodManLiveAgent, parse_metadata
def test_parse_metadata_accepts_valid_json():
assert parse_metadata('{"podId":"demo-pod","identity":"yahya","sessionId":"s1"}') == {
"podId": "demo-pod",
"identity": "yahya",
"sessionId": "s1",
}
def test_parse_metadata_handles_bad_json():
assert parse_metadata("not json") == {}
def test_hermes_terminal_events_always_speak():
agent = PodManLiveAgent("demo-pod", "yahya", "s1", "room")
assert agent.should_speak_progress({"type": "completed"}) is True
assert agent.should_speak_progress({"type": "failed"}) is True
assert agent.should_speak_progress({"type": "aborted"}) is True
def test_hermes_progress_is_throttled():
agent = PodManLiveAgent("demo-pod", "yahya", "s1", "room")
assert agent.should_speak_progress({"type": "heartbeat"}) is True
assert agent.should_speak_progress({"type": "step_started"}) is False
File diff suppressed because it is too large Load Diff
+57
View File
@@ -1,6 +1,11 @@
import type { Room } from '@livekit/rtc-node';
import { Room as LiveKitRoom } from '@livekit/rtc-node';
import { AccessToken } from 'livekit-server-sdk';
import type { Collision, DataMessage, HermesMessage, Intervention } from '@podman/shared';
import { DATA_TOPIC } from '@podman/shared';
import { env } from '../env.js';
import { speak } from '../voice/live.js';
import { notifyCriticalLiveConversations } from '../live-conversation/sessions.js';
const encoder = new TextEncoder();
@@ -37,3 +42,55 @@ export async function publishHermesMessage(
topic: DATA_TOPIC,
});
}
export async function publishHermesIntervention(
room: Room,
collision: Collision,
intervention: Intervention,
voiceLine?: string,
): Promise<void> {
const data: DataMessage = { type: 'COLLISION', collision, intervention };
await room.localParticipant?.publishData(encoder.encode(JSON.stringify(data)), {
reliable: true,
topic: DATA_TOPIC,
});
await publishHermesMessage(room, collision, intervention);
void notifyCriticalLiveConversations(collision, intervention, voiceLine).catch((err) =>
console.warn(`[live-conversation] critical notify failed: ${(err as Error).message}`),
);
if (voiceLine) await speak(room, voiceLine, { priority: 'critical' });
}
async function hermesToken(roomName: string): Promise<string> {
const at = new AccessToken(env.LIVEKIT_API_KEY, env.LIVEKIT_API_SECRET, {
identity: `podman-hermes-${Date.now()}`,
name: 'PodMan Hermes',
ttl: '10m',
});
at.addGrant({
roomJoin: true,
room: roomName,
canPublish: true,
canSubscribe: true,
canPublishData: true,
});
return at.toJwt();
}
export async function notifyHermesInterventionInRoom(
roomName: string,
collision: Collision,
intervention: Intervention,
voiceLine?: string,
): Promise<void> {
const room = new LiveKitRoom();
try {
await room.connect(env.LIVEKIT_URL, await hermesToken(roomName), {
autoSubscribe: false,
dynacast: false,
});
await publishHermesIntervention(room, collision, intervention, voiceLine);
} finally {
await room.disconnect().catch(() => {});
}
}
+174
View File
@@ -0,0 +1,174 @@
import type { EngineerContext, MemberWorkHistory, MemberWorkHistoryFile } from '@podman/shared';
import { getDb } from '../memory/db.js';
import { parseGitStatusPath } from '../graph/live.js';
interface EngineerStateDoc {
_id: string;
podId: string;
name: string;
changedFiles?: string[];
branch?: string | null;
recentCommit?: string | null;
gitUpdatedAt?: Date | string;
updatedAt?: Date | string;
}
interface FileAccumulator {
file: string;
observations: number;
gitChanges: number;
firstSeenAt: number;
lastSeenAt: number;
confidenceSum: number;
confidenceCount: number;
activities: Set<string>;
current: boolean;
}
function toIso(ms: number): string {
return new Date(ms).toISOString();
}
function dateMs(value: string | Date | undefined): number {
if (value instanceof Date) return value.getTime();
if (value) {
const parsed = Date.parse(value);
if (Number.isFinite(parsed)) return parsed;
}
return 0;
}
function clean(value: string | undefined): string {
return value?.trim() ?? '';
}
function sameMember(a: string | undefined, b: string): boolean {
return clean(a).toLowerCase() === b.trim().toLowerCase();
}
function addFile(files: Map<string, FileAccumulator>, file: string, at: number): FileAccumulator {
const existing = files.get(file);
if (existing) {
if (at > 0) {
existing.firstSeenAt = Math.min(existing.firstSeenAt || at, at);
existing.lastSeenAt = Math.max(existing.lastSeenAt, at);
}
return existing;
}
const acc: FileAccumulator = {
file,
observations: 0,
gitChanges: 0,
firstSeenAt: at,
lastSeenAt: at,
confidenceSum: 0,
confidenceCount: 0,
activities: new Set<string>(),
current: false,
};
files.set(file, acc);
return acc;
}
export async function getMemberWorkHistory(
podId: string,
member: string,
options: { hours?: number; limit?: number } = {},
): Promise<MemberWorkHistory> {
const db = await getDb();
const windowHours = Math.min(Math.max(options.hours ?? 24, 1), 168);
const limit = Math.min(Math.max(options.limit ?? 80, 10), 200);
const since = new Date(Date.now() - windowHours * 60 * 60 * 1000).toISOString();
const [observations, gitState] = await Promise.all([
db
.collection<EngineerContext>('observations')
.find({ podId, observedAt: { $gte: since } }, { projection: { _id: 0 } })
.sort({ observedAt: -1 })
.limit(500)
.toArray(),
db.collection<EngineerStateDoc>('engineer_states').findOne({
podId,
name: { $regex: `^${member.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}$`, $options: 'i' },
}),
]);
const files = new Map<string, FileAccumulator>();
const timeline: MemberWorkHistory['timeline'] = [];
const memberObservations = observations.filter((doc) => sameMember(doc.engineerId, member));
for (const doc of memberObservations) {
const file = clean(doc.currentFile);
if (!file) continue;
const at = dateMs(doc.observedAt);
const acc = addFile(files, file, at);
acc.observations += 1;
acc.current ||= timeline.length === 0;
if (typeof doc.confidence === 'number') {
acc.confidenceSum += doc.confidence;
acc.confidenceCount += 1;
}
const activity = clean(doc.activity);
if (activity) acc.activities.add(activity);
timeline.push({
id: `vision:${doc.engineerId}:${doc.observedAt}:${file}`,
at: doc.observedAt,
source: 'vision',
file,
title: activity || `Worked in ${file}`,
detail: clean(doc.currentSymbol) ? `symbol ${doc.currentSymbol}` : undefined,
confidence: doc.confidence,
});
}
const gitAt = dateMs(gitState?.gitUpdatedAt ?? gitState?.updatedAt);
for (const raw of gitState?.changedFiles ?? []) {
const file = parseGitStatusPath(raw);
if (!file) continue;
const acc = addFile(files, file, gitAt || Date.now());
acc.gitChanges += 1;
acc.current = true;
timeline.push({
id: `git:${gitState?._id}:${gitAt}:${file}`,
at: toIso(gitAt || Date.now()),
source: 'git',
file,
title: `Local change in ${file}`,
detail: [gitState?.branch ? `branch ${gitState.branch}` : undefined, gitState?.recentCommit]
.filter(Boolean)
.join(' · '),
});
}
const fileRows: MemberWorkHistoryFile[] = [...files.values()]
.sort((a, b) => b.lastSeenAt - a.lastSeenAt || b.observations - a.observations)
.slice(0, 12)
.map((file) => ({
file: file.file,
observations: file.observations,
gitChanges: file.gitChanges,
firstSeenAt: toIso(file.firstSeenAt || file.lastSeenAt || Date.now()),
lastSeenAt: toIso(file.lastSeenAt || file.firstSeenAt || Date.now()),
confidenceAvg: file.confidenceCount
? Math.round((file.confidenceSum / file.confidenceCount) * 100) / 100
: null,
activities: [...file.activities].slice(0, 3),
current: file.current,
}));
timeline.sort((a, b) => Date.parse(b.at) - Date.parse(a.at));
return {
podId,
member,
generatedAt: new Date().toISOString(),
windowHours,
totals: {
files: fileRows.length,
observations: memberObservations.length,
gitChanges: gitState?.changedFiles?.length ?? 0,
},
files: fileRows,
timeline: timeline.slice(0, limit),
};
}
+197
View File
@@ -0,0 +1,197 @@
import type {
Collision,
EngineerContext,
Intervention,
InterventionOutcome,
PodActivityEvent,
} from '@podman/shared';
import { getDb } from '../memory/db.js';
interface EngineerStateDoc {
_id: string;
podId: string;
name: string;
changedFiles?: string[];
diffStat?: string | null;
recentCommit?: string | null;
branch?: string | null;
gitUpdatedAt?: Date | string;
updatedAt?: Date | string;
}
function toIso(value: Date | string | undefined): string {
if (value instanceof Date) return value.toISOString();
if (value) return new Date(value).toISOString();
return new Date(0).toISOString();
}
function clean(value: string | undefined): string | undefined {
const trimmed = value?.trim();
return trimmed || undefined;
}
function shortFiles(files: string[] | undefined): string {
if (!files?.length) return 'clean working tree';
const sample = files.slice(0, 3).join(', ');
return files.length > 3 ? `${sample}, +${files.length - 3} more` : sample;
}
function observationEvent(doc: EngineerContext): PodActivityEvent {
const file = clean(doc.currentFile);
const symbol = clean(doc.currentSymbol);
return {
id: `observation:${doc.engineerId}:${doc.observedAt}`,
podId: doc.podId,
kind: 'observation',
source: 'vision',
actor: doc.engineerId,
actors: [doc.engineerId],
file,
imageUrl: doc.screenshotDataUrl,
title: file ? `Working in ${file}` : 'Screen context updated',
detail: [
symbol ? `symbol ${symbol}` : undefined,
clean(doc.activity),
doc.hasUnpushedChanges ? 'unpushed changes visible' : undefined,
`confidence ${Math.round(doc.confidence * 100)}%`,
]
.filter(Boolean)
.join(' · '),
severity: doc.hasUnpushedChanges ? 'warn' : 'info',
at: doc.observedAt,
};
}
function gitEvent(doc: EngineerStateDoc): PodActivityEvent {
const changedFiles = doc.changedFiles ?? [];
return {
id: `git:${doc._id}:${toIso(doc.gitUpdatedAt ?? doc.updatedAt)}`,
podId: doc.podId,
kind: 'git',
source: 'git',
actor: doc.name,
actors: [doc.name],
title: changedFiles.length ? `${changedFiles.length} local file changes` : 'Git state is clean',
detail: [
doc.branch ? `branch ${doc.branch}` : undefined,
shortFiles(changedFiles),
doc.recentCommit ? `head ${doc.recentCommit}` : undefined,
]
.filter(Boolean)
.join(' · '),
severity: changedFiles.length ? 'warn' : 'info',
at: toIso(doc.gitUpdatedAt ?? doc.updatedAt),
};
}
function collisionEvent(doc: Collision): PodActivityEvent {
return {
id: `collision:${doc.id}`,
podId: doc.podId,
kind: 'collision',
source: 'memory',
actor: doc.engineers[0],
actors: doc.engineers,
file: doc.file,
title: `${doc.engineers.join(' + ')} conflict on ${doc.file}`,
detail: [
doc.symbol ? `symbol ${doc.symbol}` : undefined,
doc.githubState?.unpushed ? 'unpushed local changes involved' : undefined,
doc.githubState?.openPrs?.length
? `open PRs ${doc.githubState.openPrs.join(', ')}`
: undefined,
]
.filter(Boolean)
.join(' · '),
severity: doc.severity,
at: doc.detectedAt,
};
}
function interventionEvent(doc: Intervention): PodActivityEvent {
return {
id: `intervention:${doc.id}`,
podId: doc.podId,
kind: 'intervention',
source: 'hermes',
title: `Hermes ${doc.status} ${doc.suggestedAction.kind.replaceAll('_', ' ')}`,
detail: doc.message,
severity: doc.status === 'accepted' ? 'success' : doc.status === 'dismissed' ? 'info' : 'warn',
at: doc.createdAt,
};
}
function outcomeEvent(doc: InterventionOutcome): PodActivityEvent {
return {
id: `outcome:${doc.interventionId}:${doc.recordedAt}`,
podId: doc.podId,
kind: 'outcome',
source: 'policy',
title: doc.accepted ? 'Intervention accepted' : 'Intervention dismissed',
detail: doc.wasRealCollision ? 'confirmed real collision' : 'marked as false positive',
severity: doc.accepted ? 'success' : 'info',
at: doc.recordedAt,
};
}
export async function listPodActivity(podId: string, limit = 80): Promise<PodActivityEvent[]> {
const db = await getDb();
const [observations, gitStates, collisions, interventions, outcomes] = await Promise.all([
db
.collection<EngineerContext>('observations')
.find({ podId }, { projection: { _id: 0 } })
.sort({ observedAt: -1 })
.limit(limit)
.toArray(),
db
.collection<EngineerStateDoc>('engineer_states')
.find(
{ podId },
{
projection: {
_id: 1,
podId: 1,
name: 1,
changedFiles: 1,
diffStat: 1,
recentCommit: 1,
branch: 1,
gitUpdatedAt: 1,
updatedAt: 1,
},
},
)
.sort({ gitUpdatedAt: -1 })
.limit(limit)
.toArray(),
db
.collection<Collision>('collisions')
.find({ podId }, { projection: { _id: 0 } })
.sort({ detectedAt: -1 })
.limit(limit)
.toArray(),
db
.collection<Intervention>('interventions')
.find({ podId }, { projection: { _id: 0 } })
.sort({ createdAt: -1 })
.limit(limit)
.toArray(),
db
.collection<InterventionOutcome>('outcomes')
.find({ podId }, { projection: { _id: 0 } })
.sort({ recordedAt: -1 })
.limit(limit)
.toArray(),
]);
return [
...observations.map(observationEvent),
...gitStates.map(gitEvent),
...collisions.map(collisionEvent),
...interventions.map(interventionEvent),
...outcomes.map(outcomeEvent),
]
.filter((event) => event.at !== new Date(0).toISOString())
.sort((a, b) => Date.parse(b.at) - Date.parse(a.at))
.slice(0, limit);
}
+117 -14
View File
@@ -6,6 +6,7 @@ import {
VideoStream,
VideoBufferType,
dispose,
type VideoFrameEvent,
type RemoteTrack,
type RemoteTrackPublication,
type RemoteParticipant,
@@ -19,6 +20,8 @@ import { initMemory } from './memory/db.js';
const POD_ROOM = process.env.POD_ROOM ?? 'demo-pod';
const HERMES_IDENTITY = 'podman-hermes';
const SAMPLE_INTERVAL_MS = 1000; // ~1 fps to the vision model
const SCREEN_THUMBNAIL_WIDTH = 360;
const SHUTDOWN_GRACE_MS = 5000;
async function agentToken(room: string): Promise<string> {
const at = new AccessToken(env.LIVEKIT_API_KEY, env.LIVEKIT_API_SECRET, {
@@ -30,6 +33,20 @@ async function agentToken(room: string): Promise<string> {
return at.toJwt();
}
async function withTimeout<T>(promise: Promise<T>, ms: number): Promise<T | null> {
let timer: NodeJS.Timeout | undefined;
try {
return await Promise.race([
promise,
new Promise<null>((resolve) => {
timer = setTimeout(() => resolve(null), ms);
}),
]);
} finally {
if (timer) clearTimeout(timer);
}
}
async function main() {
// MongoDB is mandatory. Verify the connection before joining the room so bad
// creds / unreachable Atlas fail loudly at boot, not silently mid-demo.
@@ -45,6 +62,57 @@ async function main() {
console.log(`[agent] ${HERMES_IDENTITY} joined room ${POD_ROOM}`);
const lastSent = new Map<string, number>();
const inFlight = new Set<string>();
const activeStreams = new Map<string, ReadableStreamDefaultReader<VideoFrameEvent>>();
const streamKey = (
track: RemoteTrack,
pub: RemoteTrackPublication,
participant: RemoteParticipant,
) => `${participant.identity}:${pub.sid ?? track.sid ?? 'screen'}`;
const stopStream = async (key: string) => {
const reader = activeStreams.get(key);
if (!reader) return;
activeStreams.delete(key);
await reader.cancel().catch(() => {});
try {
reader.releaseLock();
} catch {
/* already released */
}
};
const processFrame = async (engineerId: string, event: VideoFrameEvent) => {
const now = Date.now();
if (now - (lastSent.get(engineerId) ?? 0) < SAMPLE_INTERVAL_MS) return;
if (inFlight.has(engineerId)) return;
lastSent.set(engineerId, now);
inFlight.add(engineerId);
try {
const rgba = event.frame.convert(VideoBufferType.RGBA);
const pixels = Buffer.from(rgba.data);
const raw = { width: rgba.width, height: rgba.height, channels: 4 } as const;
const [jpeg, thumbnail] = await Promise.all([
sharp(pixels, { raw })
.resize({ width: 1280, withoutEnlargement: true })
.jpeg({ quality: 70 })
.toBuffer(),
sharp(pixels, { raw })
.resize({ width: SCREEN_THUMBNAIL_WIDTH, withoutEnlargement: true })
.jpeg({ quality: 42 })
.toBuffer(),
]);
await podman.onScreenFrame(
engineerId,
jpeg,
`data:image/jpeg;base64,${thumbnail.toString('base64')}`,
);
} finally {
inFlight.delete(engineerId);
}
};
room.on(
RoomEvent.TrackSubscribed,
@@ -52,30 +120,65 @@ async function main() {
if (track.kind !== TrackKind.KIND_VIDEO || pub.source !== TrackSource.SOURCE_SCREENSHARE)
return;
const id = participant.identity;
const key = streamKey(track, pub, participant);
const stream = new VideoStream(track);
void stopStream(key);
const reader = stream.getReader();
activeStreams.set(key, reader);
void (async () => {
for await (const event of stream) {
const now = Date.now();
if (now - (lastSent.get(id) ?? 0) < SAMPLE_INTERVAL_MS) continue; // THROTTLE
lastSent.set(id, now);
const rgba = event.frame.convert(VideoBufferType.RGBA);
const jpeg = await sharp(Buffer.from(rgba.data), {
raw: { width: rgba.width, height: rgba.height, channels: 4 },
})
.resize({ width: 1280, withoutEnlargement: true })
.jpeg({ quality: 70 })
.toBuffer();
await podman.onScreenFrame(id, jpeg);
try {
while (activeStreams.get(key) === reader) {
const { done, value } = await reader.read();
if (done) break;
void processFrame(id, value).catch((err) =>
console.error(`[agent] frame sample failed for ${id}: ${(err as Error).message}`),
);
}
} catch (err) {
console.error(`[agent] screen stream failed for ${id}: ${(err as Error).message}`);
} finally {
if (activeStreams.get(key) === reader) activeStreams.delete(key);
await reader.cancel().catch(() => {});
try {
reader.releaseLock();
} catch {
/* already released */
}
}
})();
},
);
room.on(
RoomEvent.TrackUnsubscribed,
(track: RemoteTrack, pub: RemoteTrackPublication, participant: RemoteParticipant) => {
void stopStream(streamKey(track, pub, participant));
},
);
room.on(RoomEvent.ParticipantDisconnected, (participant: RemoteParticipant) => {
for (const key of [...activeStreams.keys()]) {
if (key.startsWith(`${participant.identity}:`)) void stopStream(key);
}
});
let shuttingDown = false;
const shutdown = async () => {
await room.disconnect();
await dispose();
if (shuttingDown) return;
shuttingDown = true;
await withTimeout(
Promise.all([...activeStreams.keys()].map(stopStream)).then(() => room.disconnect()),
SHUTDOWN_GRACE_MS,
);
await withTimeout(dispose(), SHUTDOWN_GRACE_MS);
process.exit(0);
};
room.on(RoomEvent.Disconnected, () => {
if (!shuttingDown) {
console.error('[agent] LiveKit disconnected; exiting so systemd restarts the worker');
process.exit(1);
}
});
process.on('SIGINT', shutdown);
process.on('SIGTERM', shutdown);
}
+101 -24
View File
@@ -1,6 +1,5 @@
import { RoomEvent, type Room } from '@livekit/rtc-node';
import type { EngineerContext, Collision, Intervention, DataMessage } from '@podman/shared';
import { DATA_TOPIC } from '@podman/shared';
import { analyzeFrame } from '../vision/gemini.js';
import { detectCollisions } from '../collision/detector.js';
import { getGithubState } from '../github/client.js';
@@ -10,15 +9,52 @@ import {
recordIntervention,
updateInterventionStatus,
} from '../memory/store.js';
import { getGitStates } from '../memory/db.js';
import { getGitStates, type GitState } from '../memory/db.js';
import { recallSimilar } from '../memory/vectors.js';
import { shouldIntervene, preferredAction } from '../memory/policy.js';
import { speak } from '../voice/live.js';
import { publishHermesMessage } from '../action/hermes.js';
import { publishHermesIntervention } from '../action/hermes.js';
/** Strip a git-status prefix ("M ", "?? ") and reduce a path to its lowercased
* basename — matches comparableFile() in memory/store.ts so keys line up. */
function comparableBasename(raw?: string): string {
return (
(raw ?? '')
.trim()
.replace(/^(\?\?|[MADRCU!]{1,2})\s+/, '')
.split(/[\\/]/)
.pop()
?.toLowerCase() ?? ''
);
}
/** Canonicalize an engineer name for case/whitespace-insensitive matching, so
* "Karti" and "karti" resolve to the same engineer's git state. */
function canonicalName(raw?: string): string {
return (raw ?? '').trim().toLowerCase();
}
/** Git ground truth: do ALL involved engineers currently have the collided file
* in their changedFiles? Computed at detection time while git state is fresh. */
function engineersOverlapOnFile(collision: Collision, gitStates: Map<string, GitState>): boolean {
const target = comparableBasename(collision.file);
if (!target || collision.engineers.length < 2) return false;
const byCanon = new Map<string, string[]>();
for (const [name, st] of gitStates) byCanon.set(canonicalName(name), st.changedFiles);
return collision.engineers.every((e) =>
(byCanon.get(canonicalName(e)) ?? []).some((f) => comparableBasename(f) === target),
);
}
export class PodMan {
private contexts = new Map<string, EngineerContext>();
private encoder = new TextEncoder();
/**
* Conflicts we have already voiced and that are still unresolved, keyed by
* file (see conflictKey). Edge-triggered alerting: speak once when a conflict
* appears, stay quiet while it persists. A conflict is re-armed (deleted
* here) by onScreenFrame as soon as a detection cycle no longer sees it, so a
* resolved-then-recurring conflict alerts again.
*/
private activeConflicts = new Set<string>();
constructor(
private room: Room,
@@ -35,15 +71,20 @@ export class PodMan {
if (c)
c.hasUnpushedChanges = msg.report.unpushedCount > 0 || msg.report.dirtyFiles.length > 0;
}
if (msg.type === 'ACK') void updateInterventionStatus(msg.interventionId, msg.status);
if (msg.type === 'ACK') {
void updateInterventionStatus(msg.interventionId, msg.status).catch((err) =>
console.error(`[memory] intervention ack failed: ${(err as Error).message}`),
);
}
} catch {
/* ignore malformed */
}
});
}
async onScreenFrame(engineerId: string, jpeg: Buffer): Promise<void> {
async onScreenFrame(engineerId: string, jpeg: Buffer, screenshotDataUrl?: string): Promise<void> {
const ctx = await analyzeFrame(engineerId, this.podId, jpeg);
if (screenshotDataUrl) ctx.screenshotDataUrl = screenshotDataUrl;
this.contexts.set(engineerId, ctx);
await recordObservation(ctx);
@@ -56,26 +97,63 @@ export class PodMan {
}
const github = await getGithubState(); // cached
const collisions = detectCollisions([...this.contexts.values()], github);
const collisions = detectCollisions([...this.contexts.values()], github, gitStates);
// Re-arm: any conflict we previously voiced that is no longer present has
// resolved, so allow it to alert again if it recurs.
const current = new Set(collisions.map((c) => this.conflictKey(c)));
for (const key of this.activeConflicts) {
if (!current.has(key)) this.activeConflicts.delete(key);
}
// Capture git ground-truth overlap now, while engineer_states are fresh, so
// the outcome-time verifier never depends on a stale sidecar or a late click.
for (const collision of collisions) {
collision.gitOverlap = engineersOverlapOnFile(collision, gitStates);
}
for (const collision of collisions) await this.handle(collision);
}
/**
* Stable identity for a conflict, independent of the Date.now() baked into
* collision.id. Mirrors comparableFile() in memory/store.ts so keys line up:
* strip any git-status prefix ("M ", "?? ") and reduce to a lowercased
* basename.
*/
private conflictKey(collision: Collision): string {
return comparableBasename(collision.file);
}
private async handle(collision: Collision): Promise<void> {
const key = this.conflictKey(collision);
if (this.activeConflicts.has(key)) return; // single-shot: already voiced, still unresolved
const prior = await recallSimilar(collision); // Loop A: exact/vector recall raises confidence
if (prior) collision.severity = 'critical';
// Only escalate to critical (which triggers the spoken alert) when the
// recalled prior was an *accepted real* collision. Blanket-escalating every
// recall — including dismissed/false-positive priors — masked the learned
// routing in preferredAction and made recalled noise scream "CRITICAL".
// (RSI Step 2 — continual-learning/policy.md:62-63, plan.md:66)
if (prior?.priorOutcome?.accepted && prior?.priorOutcome?.wasRealCollision) {
collision.severity = 'critical';
}
if (!shouldIntervene(collision, prior)) return; // Loop B: policy gate
this.activeConflicts.add(key); // claim now we're alerting; re-armed in onScreenFrame on resolution
await recordCollision(collision);
const action = preferredAction(collision, prior);
const names = collision.engineers.join(' and ');
const names = collision.engineers.join(' + ');
const shortFile = collision.file.split('/').pop() ?? collision.file;
// Terse, demo-centered alert — short and direct, not chatty AI prose.
const message =
`${names} are both editing ${collision.file}` +
(collision.githubState?.unpushed ? ' and one has unpushed changes.' : '.') +
(prior?.priorOutcome?.accepted
? ` I've seen this conflict pattern before; last time the team accepted the ${prior.priorIntervention?.suggestedAction.kind.replaceAll('_', ' ') ?? 'suggested'} action.`
: prior
? ` I've seen this conflict pattern before.`
: '');
`Conflict: ${names} both on ${shortFile}` +
(collision.githubState?.unpushed ? ' (unpushed).' : '.') +
(prior ? ' Seen before.' : '');
// Spoken line stays short, but uses natural phrasing for Gemini TTS prosody.
const voiceLine = `${names} are both editing ${shortFile}. Please sync before pushing.`;
const intervention: Intervention = {
id: `int_${Date.now()}`,
@@ -96,12 +174,11 @@ export class PodMan {
};
await recordIntervention(intervention);
const data: DataMessage = { type: 'COLLISION', collision, intervention };
await this.room.localParticipant?.publishData(this.encoder.encode(JSON.stringify(data)), {
reliable: true,
topic: DATA_TOPIC,
});
await publishHermesMessage(this.room, collision, intervention);
if (collision.severity === 'critical') await speak(this.room, message);
await publishHermesIntervention(
this.room,
collision,
intervention,
collision.severity === 'critical' ? voiceLine : undefined,
);
}
}
+65 -15
View File
@@ -1,34 +1,84 @@
import type { EngineerContext, Collision, GithubStateSnapshot } from '@podman/shared';
import type { GitState } from '../memory/db.js';
function normalize(path?: string): string | undefined {
if (!path) return undefined;
return path.replace(/^\.?\/?(src\/)?/, 'src/').toLowerCase();
/**
* Collapse any path-ish string to a comparable file key.
*
* Vision reads paths at inconsistent depths ("agent.ts" vs
* "backend/src/agent.ts"), and git status lines carry a status prefix
* ("M README.md", "?? test.txt"). Reduce both to a lowercased basename so the
* same file matches regardless of how it was observed. Basename matching can
* over-group two same-named files in different dirs, but for live coordination
* that bias toward firing is the right trade.
*/
function fileKey(raw?: string): string | undefined {
if (!raw) return undefined;
const stripped = raw.trim().replace(/^(\?\?|[MADRCU!]{1,2})\s+/, ''); // drop git status prefix
const base = stripped.split(/[\\/]/).pop()?.trim();
if (!base) return undefined;
return base.toLowerCase();
}
interface Touch {
engineerId: string;
unpushed: boolean;
display: string; // original path/name to show in the card
}
/**
* Detect same-file collisions from two fused signals:
* 1. Vision — what each engineer currently has on screen.
* 2. Git ground truth — each engineer's dirty/unpushed `changedFiles`.
*
* Git overlap is deterministic and does not require both engineers to have the
* file on screen at the same instant, so it is the reliable demo path.
*/
export function detectCollisions(
contexts: EngineerContext[],
github: GithubStateSnapshot,
gitStates?: Map<string, GitState>,
): Collision[] {
const byFile = new Map<string, EngineerContext[]>();
const byFile = new Map<string, Touch[]>();
const add = (key: string | undefined, touch: Touch): void => {
if (!key) return;
(byFile.get(key) ?? byFile.set(key, []).get(key)!).push(touch);
};
// Signal 1: live vision context.
for (const c of contexts) {
const f = normalize(c.currentFile);
if (!f) continue;
(byFile.get(f) ?? byFile.set(f, []).get(f)!).push(c);
add(fileKey(c.currentFile), {
engineerId: c.engineerId,
unpushed: c.hasUnpushedChanges === true,
display: c.currentFile ?? '',
});
}
// Signal 2: git ground truth (a dirty changed file is unpushed by definition).
if (gitStates) {
for (const [engineerId, git] of gitStates) {
for (const changed of git.changedFiles) {
add(fileKey(changed), { engineerId, unpushed: true, display: changed });
}
}
}
const out: Collision[] = [];
for (const [file, group] of byFile) {
const engineers = [...new Set(group.map((g) => g.engineerId))];
if (engineers.length < 2) continue;
for (const [, touches] of byFile) {
const engineers = [...new Set(touches.map((t) => t.engineerId))];
if (engineers.length < 2) continue; // need two distinct people on one file
const anyUnpushed = group.some((g) => g.hasUnpushedChanges) || github.unpushed === true;
const anyUnpushed = touches.some((t) => t.unpushed) || github.unpushed === true;
if (!anyUnpushed) continue; // the crux GitHub alone cannot answer
// Show the most specific path we saw for this file.
const display =
touches.map((t) => t.display).sort((a, b) => b.length - a.length)[0] ?? touches[0]!.display;
out.push({
id: `col_${file}_${Date.now()}`,
podId: group[0]!.podId,
file,
symbol: group.find((g) => g.currentSymbol)?.currentSymbol,
id: `col_${fileKey(display)}_${Date.now()}`,
podId: contexts[0]?.podId ?? 'demo-pod',
file: display,
symbol: contexts.find((c) => c.currentSymbol)?.currentSymbol,
engineers,
severity: 'warn',
githubState: { ...github, unpushed: anyUnpushed },
+5
View File
@@ -21,10 +21,14 @@ export const env = {
LIVEKIT_URL: req('LIVEKIT_URL'),
LIVEKIT_API_KEY: req('LIVEKIT_API_KEY'),
LIVEKIT_API_SECRET: req('LIVEKIT_API_SECRET'),
LIVEKIT_AGENT_NAME: opt('LIVEKIT_AGENT_NAME'),
LIVEKIT_CONVERSATION_AGENT_NAME: opt('LIVEKIT_CONVERSATION_AGENT_NAME', 'podman-live-conversation'),
// Gemini
GEMINI_API_KEY: reqAny('GEMINI_API_KEY', ['GOOGLE_API_KEY', 'GOOGLE_GENERATIVE_AI_API_KEY']),
GEMINI_VISION_MODEL: opt('GEMINI_VISION_MODEL', 'gemini-2.0-flash'),
GEMINI_LIVE_MODEL: opt('GEMINI_LIVE_MODEL', 'gemini-3.1-flash-tts-preview'),
GEMINI_CONVERSATION_MODEL: opt('GEMINI_CONVERSATION_MODEL', 'gemini-3.1-flash-live-preview'),
GEMINI_TTS_VOICE: opt('GEMINI_TTS_VOICE', 'Charon'),
GEMINI_EMBEDDING_MODEL: opt('GEMINI_EMBEDDING_MODEL', 'gemini-embedding-001'),
// GitHub
GITHUB_TOKEN: req('GITHUB_TOKEN'),
@@ -36,6 +40,7 @@ export const env = {
// Server
PORT: Number(opt('PORT', '8787')),
NUDGE_COOLDOWN_MS: Number(opt('NUDGE_COOLDOWN_MS', '180000')),
INTERNAL_AGENT_TOKEN: opt('INTERNAL_AGENT_TOKEN'),
} as const;
export function repoParts(): { owner: string; repo: string } {
+76 -7
View File
@@ -11,21 +11,90 @@ export function createDemoPodGraph(podId: string): PodGraph {
return {
podId,
generatedAt: new Date().toISOString(),
// Kept consistent with the graph below (3 owner engineers, 1 collision file,
// 1 of 1 interventions accepted) so the numbers never contradict the picture.
metrics: [
{
label: 'Learned owners',
value: '5',
detail: 'Ownership edges retained from accepted interventions.',
value: '3',
detail: 'Distinct owners retained from accepted interventions.',
},
{
label: 'Open risk paths',
value: '2',
detail: 'auth.ts and the memory API have converging editors.',
value: '1',
detail: 'File with two or more converging editors.',
},
{
label: 'Accept rate',
value: '86%',
detail: 'Interventions accepted this session (+14%).',
value: '100%',
detail: 'Interventions accepted vs total this session.',
},
],
loop: {
activeStep: 'adapt',
steps: [
{
key: 'observe',
label: 'Observe',
value: '2',
detail: 'Screen context and local git state show two active editors.',
status: 'complete',
},
{
key: 'store',
label: 'Store',
value: '7',
detail: 'Observations, collisions, interventions, and outcomes are in MongoDB.',
status: 'complete',
},
{
key: 'predict',
label: 'Predict',
value: '2',
detail: 'Same-file risk paths are detected before push.',
status: 'complete',
},
{
key: 'outcome',
label: 'Outcome',
value: '6',
detail: 'Accepted and dismissed outcomes supervise future routing.',
status: 'complete',
},
{
key: 'adapt',
label: 'Adapt',
value: '1',
detail: 'Accepted real collision created a learned_from edge.',
status: 'complete',
},
],
},
activity: [
{
id: 'demo-learned-auth',
at: new Date().toISOString(),
kind: 'learned',
title: 'Learned Karti owns auth.ts',
detail: 'Accepted sync PR outcome created a durable learned_from path.',
nodeId: 'engineer:karti',
edgeId: 'e7',
},
{
id: 'demo-intervention-sync-pr',
at: new Date().toISOString(),
kind: 'intervention',
title: 'Intervention: sync PR',
detail: 'PodMan offered a small coordination card before voice.',
nodeId: 'intervention:sync-pr',
},
{
id: 'demo-collision-auth',
at: new Date().toISOString(),
kind: 'collision',
title: 'Collision risk on auth.ts',
detail: 'Karti and Yahya converged on unpushed work.',
nodeId: 'collision:auth',
},
],
nodes: [
@@ -186,7 +255,7 @@ export function createDemoPodGraph(podId: string): PodGraph {
source: 'collision:auth',
target: 'intervention:sync-pr',
kind: 'warns',
label: 'nudges',
label: 'routes',
strength: 0.9,
},
{
+173 -6
View File
@@ -3,6 +3,8 @@ import type {
PodGraphNode,
PodGraphEdge,
PodGraphMetric,
PodLearningLoop,
PodGraphActivity,
PodGraphNodeKind,
PodGraphEdgeKind,
PodGraphNodeStatus,
@@ -148,6 +150,77 @@ function layout(nodes: PodGraphNode[]): void {
const SEVERITY_WEIGHT: Record<string, number> = { info: 0.4, warn: 0.7, critical: 1 };
function buildLoop(input: {
observations: number;
gitStates: number;
collisions: number;
interventions: number;
outcomes: number;
acceptedReal: number;
learnedEdges: number;
}): PodLearningLoop {
const stored = input.observations + input.gitStates + input.interventions + input.outcomes;
return {
activeStep:
input.acceptedReal > 0
? 'adapt'
: input.outcomes > 0
? 'outcome'
: input.collisions > 0
? 'predict'
: input.observations + input.gitStates > 0
? 'store'
: 'observe',
steps: [
{
key: 'observe',
label: 'Observe',
value: String(input.observations + input.gitStates),
detail: 'Recent vision observations plus local git-state reports.',
status: input.observations + input.gitStates > 0 ? 'complete' : 'quiet',
},
{
key: 'store',
label: 'Store',
value: String(stored),
detail: 'MongoDB records available to recall for this pod.',
status: stored > 0 ? 'complete' : 'quiet',
},
{
key: 'predict',
label: 'Predict',
value: String(input.collisions),
detail: 'Distinct collision signatures detected from live work.',
status: input.collisions > 0 ? 'complete' : 'quiet',
},
{
key: 'outcome',
label: 'Outcome',
value: String(input.outcomes),
detail: 'Accepted and dismissed intervention outcomes.',
status: input.outcomes > 0 ? 'complete' : 'quiet',
},
{
key: 'adapt',
label: 'Adapt',
value: String(input.learnedEdges),
detail: 'Learned graph edges created from accepted real outcomes.',
status: input.acceptedReal > 0 ? 'complete' : 'planned',
},
],
};
}
function pushActivity(
activity: PodGraphActivity[],
item: PodGraphActivity,
seen: Set<string>,
): void {
if (seen.has(item.id)) return;
seen.add(item.id);
activity.push(item);
}
export async function materializePodGraph(podId: string): Promise<PodGraph | null> {
const c = await collections();
const db = await getDb();
@@ -174,6 +247,8 @@ export async function materializePodGraph(podId: string): Promise<PodGraph | nul
}
const b: Builder = { nodes: new Map(), edges: new Map() };
const activity: PodGraphActivity[] = [];
const activityIds = new Set<string>();
const now = Date.now();
// 1. Baseline engineer nodes from the roster.
@@ -193,6 +268,18 @@ export async function materializePodGraph(podId: string): Promise<PodGraph | nul
if (isFilePath(file)) {
const f = upsertNode(b, 'file', file, { label: shortLabel(file), summary: file });
upsertEdge(b, eng, f, 'editing', o.activity ?? 'edits', Math.max(0.4, o.confidence ?? 0.5));
pushActivity(
activity,
{
id: `editing:${o.engineerId}:${file}:${String(o.observedAt ?? '')}`,
at: String(o.observedAt ?? new Date().toISOString()),
kind: 'editing',
title: `${o.engineerId} editing ${shortLabel(file)}`,
detail: o.activity ?? 'Vision observed active work.',
nodeId: f,
},
activityIds,
);
}
}
@@ -251,6 +338,18 @@ export async function materializePodGraph(podId: string): Promise<PodGraph | nul
const eng = upsertNode(b, 'engineer', name, { label: name });
upsertEdge(b, eng, cNode, 'collides', 'in', SEVERITY_WEIGHT[col.severity] ?? 0.7);
}
pushActivity(
activity,
{
id: `collision:${col.id}`,
at: col.detectedAt,
kind: 'collision',
title: `Collision risk on ${shortLabel(file)}`,
detail: `${col.engineers.join(' + ')} converged on ${file}.`,
nodeId: cNode,
},
activityIds,
);
sigToNode.set(sig, cNode);
colNodeFor.set(col.id, cNode);
if (!isPriority) distinctCollisions++;
@@ -293,7 +392,19 @@ export async function materializePodGraph(podId: string): Promise<PodGraph | nul
: 'watch',
summary: iv.message,
});
upsertEdge(b, colNode, ivNode, 'warns', 'nudges', 0.85);
upsertEdge(b, colNode, ivNode, 'warns', 'routes', 0.85);
pushActivity(
activity,
{
id: `intervention:${iv.id}`,
at: iv.createdAt,
kind: 'intervention',
title: `Intervention: ${b.nodes.get(ivNode)?.label ?? iv.kind}`,
detail: iv.message,
nodeId: ivNode,
},
activityIds,
);
ivNodeForCol.set(colNode, ivNode);
}
@@ -316,8 +427,34 @@ export async function materializePodGraph(podId: string): Promise<PodGraph | nul
if (ivNode) {
const ivObj = b.nodes.get(ivNode);
if (ivObj) ivObj.status = 'learned';
const before = b.edges.size;
upsertEdge(b, ivNode, engNode, 'learned_from', `learned: owns ${file}`, 0.6);
const edgeId = `${'learned_from'}:${ivNode}->${engNode}`;
pushActivity(
activity,
{
id: `learned:${out.interventionId}:${owner}:${file}`,
at: out.recordedAt,
kind: 'learned',
title: `Learned ${owner} owns ${shortLabel(file)}`,
detail: 'Accepted real outcome created a durable learned_from path.',
nodeId: engNode,
edgeId: before === b.edges.size ? undefined : edgeId,
},
activityIds,
);
}
pushActivity(
activity,
{
id: `outcome:${out.interventionId}:${out.recordedAt}`,
at: out.recordedAt,
kind: 'outcome',
title: out.accepted ? 'Outcome accepted' : 'Outcome dismissed',
detail: out.wasRealCollision ? 'Marked as a real collision.' : 'Marked as noise.',
},
activityIds,
);
}
// Prune test-artifact engineers, then anything left orphaned by that.
@@ -365,6 +502,7 @@ export async function materializePodGraph(podId: string): Promise<PodGraph | nul
const acceptedReal = outcomeDocs.filter((o) => o.accepted && o.wasRealCollision).length;
const totalOutcomes = outcomeDocs.length;
// Raw distinct collision signatures — kept for the learning-loop throughput view.
const riskPaths = new Set(
collisionDocs.map(
(col) =>
@@ -372,23 +510,42 @@ export async function materializePodGraph(podId: string): Promise<PodGraph | nul
`${normalizeFile(col.file)}#${col.symbol ?? ''}`,
),
).size;
// Headline metric cards are derived from the FINAL de-noised graph so they match
// what's drawn. Counting raw collision signatures / accepted-outcome rows inflates
// them with test churn (e.g. 50 "risk paths" for 4 files), which reads as fake.
const finalEdges = [...b.edges.values()];
const riskFiles = new Set<string>();
for (const e of finalEdges) {
if (e.kind === 'touches' && b.nodes.get(e.source)?.kind === 'file') riskFiles.add(e.source);
}
const openRiskPaths = riskFiles.size || nodes.filter((n) => n.kind === 'collision').length;
const ownerSet = new Set<string>();
for (const e of finalEdges) {
if (e.kind === 'learned_from') ownerSet.add(e.target);
if (e.kind === 'owns') ownerSet.add(e.source);
}
const learnedOwners = [...ownerSet].filter((id) => b.nodes.get(id)?.kind === 'engineer').length;
const metrics: PodGraphMetric[] = [
{
label: 'Learned owners',
value: String(acceptedReal),
detail: 'Ownership retained from accepted interventions.',
value: String(learnedOwners),
detail: 'Distinct owners retained from accepted interventions.',
},
{
label: 'Open risk paths',
value: String(riskPaths),
detail: 'Files with two or more converging editors.',
value: String(openRiskPaths),
detail: `${openRiskPaths === 1 ? 'File' : 'Files'} with two or more converging editors.`,
},
{
label: 'Accept rate',
value: totalOutcomes ? `${Math.round((acceptedReal / totalOutcomes) * 100)}%` : '—',
detail: 'Interventions accepted this session.',
detail: 'Interventions accepted vs total this session.',
},
];
const learnedEdges = [...b.edges.values()].filter((e) => e.kind === 'learned_from').length;
activity.sort((a, z) => String(z.at).localeCompare(String(a.at)));
return {
podId,
@@ -396,5 +553,15 @@ export async function materializePodGraph(podId: string): Promise<PodGraph | nul
nodes,
edges: [...b.edges.values()],
metrics,
loop: buildLoop({
observations: observations.length,
gitStates: gitStates.size,
collisions: riskPaths,
interventions: interventionDocs.length,
outcomes: totalOutcomes,
acceptedReal,
learnedEdges,
}),
activity: activity.slice(0, 12),
};
}
+349
View File
@@ -0,0 +1,349 @@
import { randomUUID } from 'node:crypto';
import { execFile } from 'node:child_process';
import { promisify } from 'node:util';
import { Room as LiveKitRoom } from '@livekit/rtc-node';
import { AccessToken } from 'livekit-server-sdk';
import {
DATA_TOPIC,
type DataMessage,
type HermesJob,
type HermesJobEvent,
type HermesJobEventType,
type HermesJobInput,
type HermesJobStatus,
type HermesRiskLevel,
} from '@podman/shared';
import { env, repoParts } from '../env.js';
import { getDb } from '../memory/db.js';
const execFileAsync = promisify(execFile);
const encoder = new TextEncoder();
const MAX_OUTPUT = 3_000;
const COMMAND_TIMEOUT_MS = 45_000;
const runners = new Map<string, AbortController>();
function now(): string {
return new Date().toISOString();
}
function truncate(value: string): string {
return value.length > MAX_OUTPUT ? `${value.slice(0, MAX_OUTPUT)}\n...[truncated]` : value;
}
function redact(value: string): string {
return value
.replace(/AIza[0-9A-Za-z_-]{20,}/g, '[redacted-google-key]')
.replace(/API[_-]?SECRET=[^\s]+/gi, 'API_SECRET=[redacted]')
.replace(/TOKEN=[^\s]+/gi, 'TOKEN=[redacted]')
.replace(/mongodb(\+srv)?:\/\/[^@\s]+@/gi, 'mongodb$1://[redacted]@');
}
function normalizeRisk(value: unknown): HermesRiskLevel {
return value === 'safe_write' ||
value === 'commit_allowed' ||
value === 'deploy_allowed' ||
value === 'read_only'
? value
: 'read_only';
}
async function hermesJobs() {
return (await getDb()).collection<HermesJob>('hermes_jobs');
}
async function hermesJobEvents() {
return (await getDb()).collection<HermesJobEvent>('hermes_job_events');
}
export async function ensureHermesJobIndexes(): Promise<void> {
const db = await getDb();
await Promise.allSettled([
db.collection('hermes_jobs').createIndex({ id: 1 }, { unique: true }),
db.collection('hermes_jobs').createIndex({ sessionId: 1, status: 1, updatedAt: -1 }),
db.collection('hermes_jobs').createIndex({ podId: 1, updatedAt: -1 }),
db.collection('hermes_job_events').createIndex({ jobId: 1, createdAt: 1 }),
db.collection('hermes_job_events').createIndex({ sessionId: 1, createdAt: -1 }),
]);
}
export async function createHermesJob(input: Partial<HermesJobInput>): Promise<HermesJob> {
const prompt = typeof input.prompt === 'string' ? input.prompt.trim() : '';
if (!prompt) throw new Error('prompt is required');
const createdAt = now();
const job: HermesJob = {
id: `hermes_job_${randomUUID()}`,
podId: input.podId || 'demo-pod',
identity: input.identity || 'developer',
sessionId: input.sessionId || 'unknown',
conversationRoom: input.conversationRoom,
prompt,
contextScope: input.contextScope || 'current_repo',
targetRepository: input.targetRepository || env.GITHUB_REPO,
riskLevel: normalizeRisk(input.riskLevel),
requiresConfirmation: input.requiresConfirmation === true,
successCriteria: Array.isArray(input.successCriteria)
? input.successCriteria.map(String).filter(Boolean).slice(0, 8)
: ['Hermes reports what it inspected and what changed.'],
parentJobId: input.parentJobId,
status: 'queued',
createdAt,
updatedAt: createdAt,
};
await (await hermesJobs()).insertOne(job);
await appendHermesJobEvent(job.id, 'accepted', 'Hermes accepted the task.', {
riskLevel: job.riskLevel,
contextScope: job.contextScope,
});
void runHermesJob(job.id);
return job;
}
export async function getHermesJob(jobId: string): Promise<HermesJob | null> {
return (await hermesJobs()).findOne({ id: jobId }, { projection: { _id: 0 } });
}
export async function getActiveHermesJobForSession(sessionId: string): Promise<HermesJob | null> {
return (await hermesJobs()).findOne(
{ sessionId, status: { $in: ['queued', 'running', 'waiting_for_confirmation', 'aborting'] } },
{ projection: { _id: 0 }, sort: { updatedAt: -1 } },
);
}
export async function getLatestHermesJobForSession(sessionId: string): Promise<HermesJob | null> {
return (await hermesJobs()).findOne(
{ sessionId },
{ projection: { _id: 0 }, sort: { updatedAt: -1 } },
);
}
export async function listHermesJobEvents(jobId: string, limit = 40): Promise<HermesJobEvent[]> {
return (await hermesJobEvents())
.find({ jobId }, { projection: { _id: 0 } })
.sort({ createdAt: 1 })
.limit(Math.min(limit, 200))
.toArray();
}
export async function appendHermesJobEvent(
jobId: string,
type: HermesJobEventType,
message: string,
data?: Record<string, unknown>,
): Promise<HermesJobEvent> {
const job = await getHermesJob(jobId);
if (!job) throw new Error('job not found');
const event: HermesJobEvent = {
id: `hermes_evt_${randomUUID()}`,
jobId,
podId: job.podId,
sessionId: job.sessionId,
type,
message: redact(truncate(message)),
data,
createdAt: now(),
};
await (await hermesJobEvents()).insertOne(event);
await (
await hermesJobs()
).updateOne(
{ id: jobId },
{ $set: { updatedAt: event.createdAt, lastHeartbeatAt: event.createdAt } },
);
if (job.conversationRoom) {
void publishHermesJobEvent(job.conversationRoom, event).catch((err) =>
console.warn(`[hermes-job] data publish failed: ${(err as Error).message}`),
);
}
return event;
}
export async function abortHermesJob(jobId: string): Promise<HermesJob | null> {
const job = await getHermesJob(jobId);
if (!job) return null;
const abortAt = now();
await (
await hermesJobs()
).updateOne(
{ id: jobId },
{ $set: { status: 'aborting', abortRequestedAt: abortAt, updatedAt: abortAt } },
);
runners.get(jobId)?.abort();
await appendHermesJobEvent(jobId, 'heartbeat', 'Hermes is aborting the current job.');
return getHermesJob(jobId);
}
async function setStatus(jobId: string, status: HermesJobStatus, patch: Partial<HermesJob> = {}) {
await (
await hermesJobs()
).updateOne({ id: jobId }, { $set: { status, updatedAt: now(), ...patch } });
}
async function publishHermesJobEvent(roomName: string, event: HermesJobEvent): Promise<void> {
const room = new LiveKitRoom();
try {
const at = new AccessToken(env.LIVEKIT_API_KEY, env.LIVEKIT_API_SECRET, {
identity: `podman-hermes-job-${Date.now()}`,
name: 'PodMan Hermes jobs',
ttl: '5m',
});
at.addGrant({
roomJoin: true,
room: roomName,
canPublish: true,
canSubscribe: false,
canPublishData: true,
});
await room.connect(env.LIVEKIT_URL, await at.toJwt(), {
autoSubscribe: false,
dynacast: false,
});
const data: DataMessage = { type: 'HERMES_JOB_EVENT', event };
await room.localParticipant?.publishData(encoder.encode(JSON.stringify(data)), {
reliable: true,
topic: DATA_TOPIC,
});
} finally {
await room.disconnect().catch(() => {});
}
}
async function runCommand(
jobId: string,
label: string,
command: string,
args: string[],
signal: AbortSignal,
): Promise<string> {
await appendHermesJobEvent(jobId, 'step_started', `${label} started.`);
const started = Date.now();
const { stdout, stderr } = await execFileAsync(command, args, {
cwd: process.cwd(),
timeout: COMMAND_TIMEOUT_MS,
signal,
maxBuffer: 1024 * 1024,
});
const output = redact(truncate([stdout, stderr].filter(Boolean).join('\n').trim()));
await appendHermesJobEvent(jobId, 'step_output', output || `${label} produced no output.`, {
label,
durationMs: Date.now() - started,
});
await appendHermesJobEvent(jobId, 'step_completed', `${label} completed.`);
return output;
}
function wantsBuild(prompt: string, criteria: string[]): boolean {
const haystack = `${prompt} ${criteria.join(' ')}`.toLowerCase();
return /build|typecheck|test|lint|broken|failing|verify/.test(haystack);
}
function wantsMongo(prompt: string, scope: string): boolean {
return scope === 'mongodb' || /mongo|database|telemetry|logs?|memory/.test(prompt.toLowerCase());
}
function wantsGithub(prompt: string, scope: string): boolean {
return (
scope === 'github' || /github|branch|pr|pull request|commit|diff/.test(prompt.toLowerCase())
);
}
async function inspectMongo(jobId: string) {
await appendHermesJobEvent(jobId, 'step_started', 'MongoDB inspection started.');
const db = await getDb();
const [observations, collisions, interventions, outcomes, jobs] = await Promise.all([
db.collection('observations').estimatedDocumentCount(),
db.collection('collisions').estimatedDocumentCount(),
db.collection('interventions').estimatedDocumentCount(),
db.collection('outcomes').estimatedDocumentCount(),
db.collection('hermes_jobs').estimatedDocumentCount(),
]);
await appendHermesJobEvent(
jobId,
'step_output',
`MongoDB is reachable. Counts: observations=${observations}, collisions=${collisions}, interventions=${interventions}, outcomes=${outcomes}, hermes_jobs=${jobs}.`,
);
await appendHermesJobEvent(jobId, 'step_completed', 'MongoDB inspection completed.');
}
async function inspectGithub(jobId: string) {
await appendHermesJobEvent(jobId, 'step_started', 'GitHub repository inspection started.');
const { owner, repo } = repoParts();
const res = await fetch(`https://api.github.com/repos/${owner}/${repo}`, {
headers: {
accept: 'application/vnd.github+json',
authorization: `Bearer ${env.GITHUB_TOKEN}`,
'x-github-api-version': '2022-11-28',
},
});
if (!res.ok) throw new Error(`GitHub repo check returned ${res.status}`);
const body = (await res.json()) as {
full_name?: string;
default_branch?: string;
open_issues_count?: number;
};
await appendHermesJobEvent(
jobId,
'step_output',
`GitHub ${body.full_name ?? `${owner}/${repo}`} is reachable. Default branch=${body.default_branch ?? 'unknown'}, open issue count=${body.open_issues_count ?? 0}.`,
);
await appendHermesJobEvent(jobId, 'step_completed', 'GitHub repository inspection completed.');
}
async function runHermesJob(jobId: string): Promise<void> {
const job = await getHermesJob(jobId);
if (!job) return;
const controller = new AbortController();
runners.set(jobId, controller);
try {
await setStatus(jobId, 'running', { startedAt: now() });
await appendHermesJobEvent(jobId, 'heartbeat', 'Hermes is gathering repository context.');
const outputs: string[] = [];
outputs.push(
await runCommand(
jobId,
'Git status',
'git',
['status', '--short', '--branch'],
controller.signal,
),
);
outputs.push(
await runCommand(jobId, 'Git diff summary', 'git', ['diff', '--stat'], controller.signal),
);
if (wantsGithub(job.prompt, job.contextScope)) await inspectGithub(jobId);
if (wantsMongo(job.prompt, job.contextScope)) await inspectMongo(jobId);
if (wantsBuild(job.prompt, job.successCriteria)) {
outputs.push(
await runCommand(jobId, 'TypeScript typecheck', 'pnpm', ['typecheck'], controller.signal),
);
}
if (job.riskLevel === 'deploy_allowed' && job.requiresConfirmation) {
await setStatus(jobId, 'waiting_for_confirmation');
await appendHermesJobEvent(
jobId,
'needs_confirmation',
'Hermes needs confirmation before deploy-level actions.',
);
return;
}
const finalSummary = `Hermes completed the task. It inspected repository state${wantsMongo(job.prompt, job.contextScope) ? ', MongoDB' : ''}${wantsGithub(job.prompt, job.contextScope) ? ', and GitHub' : ''}. ${outputs.some((o) => /error|failed/i.test(o)) ? 'Review the recorded output for warnings.' : 'No blocking error was reported by the completed checks.'}`;
await setStatus(jobId, 'completed', { completedAt: now(), finalSummary });
await appendHermesJobEvent(jobId, 'completed', finalSummary);
} catch (err) {
const aborted = controller.signal.aborted;
const message = aborted
? 'Hermes aborted the job before making further changes.'
: (err as Error).message;
await setStatus(jobId, aborted ? 'aborted' : 'failed', {
completedAt: now(),
finalSummary: message,
error: aborted ? undefined : message,
});
await appendHermesJobEvent(jobId, aborted ? 'aborted' : 'failed', message);
} finally {
runners.delete(jobId);
}
}
+80
View File
@@ -0,0 +1,80 @@
import { getDb } from '../memory/db.js';
import { getMemberWorkHistory } from '../activity/member-history.js';
const DEFAULT_LIMIT = 8;
function sinceIso(hours: number): string {
return new Date(Date.now() - hours * 60 * 60 * 1000).toISOString();
}
export async function getLiveConversationContext(podId: string, identity: string) {
const db = await getDb();
const since = sinceIso(12);
const [pod, history, gitState, collisions, interventions, outcomes] = await Promise.all([
db.collection('pods').findOne({ id: podId }, { projection: { _id: 0 } }),
getMemberWorkHistory(podId, identity, { hours: 24, limit: 30 }).catch(() => null),
db.collection('engineer_states').findOne(
{ podId, name: identity },
{
projection: {
_id: 0,
name: 1,
branch: 1,
changedFiles: 1,
recentCommit: 1,
gitUpdatedAt: 1,
},
},
),
db
.collection('collisions')
.find({ podId, detectedAt: { $gte: since } }, { projection: { _id: 0, embedding: 0 } })
.sort({ detectedAt: -1 })
.limit(DEFAULT_LIMIT)
.toArray(),
db
.collection('interventions')
.find({ podId, createdAt: { $gte: since } }, { projection: { _id: 0 } })
.sort({ createdAt: -1 })
.limit(DEFAULT_LIMIT)
.toArray(),
db
.collection('outcomes')
.find({ podId, recordedAt: { $gte: since } }, { projection: { _id: 0 } })
.sort({ recordedAt: -1 })
.limit(DEFAULT_LIMIT)
.toArray(),
]);
return {
pod,
identity,
generatedAt: new Date().toISOString(),
currentGitState: gitState,
memberHistory: history,
recentCollisions: collisions,
recentInterventions: interventions,
recentOutcomes: outcomes,
};
}
export async function recordLiveConversationNote(input: {
podId: string;
sessionId: string;
identity?: string;
note: string;
kind?: string;
}) {
const note = input.note.trim();
if (!note) throw new Error('note is required');
const doc = {
podId: input.podId,
sessionId: input.sessionId,
identity: input.identity,
kind: input.kind || 'summary',
note: note.slice(0, 4000),
createdAt: new Date().toISOString(),
};
await (await getDb()).collection('conversation_notes').insertOne(doc);
return { ...doc, _id: undefined };
}
+193
View File
@@ -0,0 +1,193 @@
import { randomUUID } from 'node:crypto';
import { AccessToken, RoomAgentDispatch, RoomConfiguration } from 'livekit-server-sdk';
import { Room as LiveKitRoom } from '@livekit/rtc-node';
import type { Collision, DataMessage, Intervention, LiveConversationEvent } from '@podman/shared';
import { DATA_TOPIC } from '@podman/shared';
import { env } from '../env.js';
import { closeRoom } from '../livekit/rooms.js';
import { speakInRoom } from '../voice/live.js';
const encoder = new TextEncoder();
const DEFAULT_AGENT = 'podman-live-conversation';
export interface LiveConversationSession {
sessionId: string;
podId: string;
identity: string;
displayName: string;
room: string;
url: string;
startedAt: string;
lastEventAt?: string;
endedAt?: string;
}
const sessions = new Map<string, LiveConversationSession>();
function sessionKey(podId: string, identity: string): string {
return `${podId}:${identity.toLowerCase()}`;
}
function cleanPart(value: string): string {
return value
.trim()
.toLowerCase()
.replace(/[^a-z0-9_-]+/g, '-')
.replace(/^-+|-+$/g, '')
.slice(0, 48);
}
function agentName(): string {
return env.LIVEKIT_CONVERSATION_AGENT_NAME || DEFAULT_AGENT;
}
function tokenFor(room: string, identity: string, name: string, metadata: object): Promise<string> {
const at = new AccessToken(env.LIVEKIT_API_KEY, env.LIVEKIT_API_SECRET, {
identity,
name,
ttl: '4h',
metadata: JSON.stringify(metadata),
});
at.addGrant({ roomJoin: true, room, canPublish: true, canSubscribe: true, canPublishData: true });
return at.toJwt();
}
export async function startLiveConversation(input: {
podId: string;
identity: string;
displayName?: string;
}): Promise<LiveConversationSession & { token: string }> {
const identity = input.identity.trim();
if (!identity) throw new Error('identity is required');
const existing = activeLiveConversation(input.podId, identity);
if (existing) {
return {
...existing,
token: await tokenFor(existing.room, identity, existing.displayName, {
podId: input.podId,
identity,
sessionId: existing.sessionId,
mode: 'podman-live-conversation',
}),
};
}
const sessionId = randomUUID();
const room = `podman-live:${cleanPart(input.podId)}:${cleanPart(identity)}:${sessionId.slice(0, 8)}`;
const displayName = input.displayName?.trim() || identity;
const metadata = { podId: input.podId, identity, sessionId, mode: 'podman-live-conversation' };
const at = new AccessToken(env.LIVEKIT_API_KEY, env.LIVEKIT_API_SECRET, {
identity,
name: displayName,
ttl: '4h',
metadata: JSON.stringify(metadata),
});
at.addGrant({ roomJoin: true, room, canPublish: true, canSubscribe: true, canPublishData: true });
at.roomConfig = new RoomConfiguration({
name: room,
emptyTimeout: 60,
departureTimeout: 15,
agents: [
new RoomAgentDispatch({
agentName: agentName(),
metadata: JSON.stringify(metadata),
}),
],
});
const session: LiveConversationSession = {
sessionId,
podId: input.podId,
identity,
displayName,
room,
url: env.LIVEKIT_URL,
startedAt: new Date().toISOString(),
};
sessions.set(sessionKey(input.podId, identity), session);
return { ...session, token: await at.toJwt() };
}
export function activeLiveConversation(
podId: string,
identity: string,
): LiveConversationSession | null {
const session = sessions.get(sessionKey(podId, identity));
return session && !session.endedAt ? session : null;
}
export function listActiveLiveConversations(podId: string): LiveConversationSession[] {
return [...sessions.values()].filter((session) => session.podId === podId && !session.endedAt);
}
export async function stopLiveConversation(
podId: string,
sessionId: string,
): Promise<LiveConversationSession | null> {
const session = [...sessions.values()].find(
(candidate) => candidate.podId === podId && candidate.sessionId === sessionId,
);
if (!session) return null;
session.endedAt = new Date().toISOString();
await closeRoom(session.room);
return session;
}
async function publishPrivateConversationEvent(
roomName: string,
event: LiveConversationEvent,
): Promise<void> {
const room = new LiveKitRoom();
try {
const token = await tokenFor(roomName, `podman-live-router-${Date.now()}`, 'PodMan live router', {
mode: 'podman-live-router',
});
await room.connect(env.LIVEKIT_URL, token, { autoSubscribe: false, dynacast: false });
const data: DataMessage = { type: 'LIVE_CONVERSATION_EVENT', event };
await room.localParticipant?.publishData(encoder.encode(JSON.stringify(data)), {
reliable: true,
topic: DATA_TOPIC,
});
} finally {
await room.disconnect().catch(() => {});
}
}
export async function notifyCriticalLiveConversations(
collision: Collision,
intervention: Intervention,
voiceLine?: string,
): Promise<void> {
if (collision.severity !== 'critical') return;
const recipients = new Set(collision.engineers.map((name) => name.toLowerCase()));
const active = listActiveLiveConversations(collision.podId).filter((session) =>
recipients.has(session.identity.toLowerCase()),
);
if (active.length === 0) return;
await Promise.allSettled(
active.map(async (session) => {
const createdAt = new Date().toISOString();
session.lastEventAt = createdAt;
const summary =
voiceLine ||
`Critical collision in ${collision.file}. ${collision.engineers.join(
' and ',
)} should sync before pushing.`;
await publishPrivateConversationEvent(session.room, {
id: `live_evt_${Date.now()}_${session.sessionId.slice(0, 8)}`,
podId: collision.podId,
sessionId: session.sessionId,
kind: 'critical_collision',
severity: 'critical',
summary,
interrupt: true,
createdAt,
collisionId: collision.id,
interventionId: intervention.id,
});
await speakInRoom(session.room, summary, { priority: 'critical' });
}),
);
}
+21
View File
@@ -57,6 +57,8 @@ export interface GitState {
gitUpdatedAt: Date | null;
}
const GIT_STATE_TTL_MS = Number(process.env.GIT_STATE_TTL_MS ?? '120000');
/** Fetch latest git state per engineer for a pod from the engineer_states collection.
* Returns a map keyed by engineer name (matches --name arg used in podman-agent.mjs). */
export async function getGitStates(podId: string): Promise<Map<string, GitState>> {
@@ -71,7 +73,17 @@ export async function getGitStates(podId: string): Promise<Map<string, GitState>
}>('engineer_states');
const docs = await col.find({ podId }).toArray();
const map = new Map<string, GitState>();
const now = Date.now();
for (const doc of docs) {
const updatedAt = doc.gitUpdatedAt ? new Date(doc.gitUpdatedAt) : null;
if (
updatedAt &&
!Number.isNaN(updatedAt.getTime()) &&
GIT_STATE_TTL_MS > 0 &&
now - updatedAt.getTime() > GIT_STATE_TTL_MS
) {
continue;
}
map.set(doc.name, {
changedFiles: doc.changedFiles ?? [],
branch: doc.branch ?? null,
@@ -102,6 +114,15 @@ export async function initMemory(): Promise<void> {
['collisions.file', () => c.collisions.createIndex({ podId: 1, file: 1, detectedAt: -1 })],
['interventions.collisionId', () => c.interventions.createIndex({ collisionId: 1 })],
['outcomes.interventionId', () => c.outcomes.createIndex({ interventionId: 1 })],
['hermes_jobs.id', () => db.collection('hermes_jobs').createIndex({ id: 1 }, { unique: true })],
[
'hermes_jobs.session',
() => db.collection('hermes_jobs').createIndex({ sessionId: 1, status: 1, updatedAt: -1 }),
],
[
'hermes_job_events.job',
() => db.collection('hermes_job_events').createIndex({ jobId: 1, createdAt: 1 }),
],
];
for (const [name, make] of indexes) {
try {
+7 -2
View File
@@ -12,11 +12,16 @@ export function shouldIntervene(collision: Collision, prior: RecalledCollision |
if (collision.severity === 'info') return false;
const priorOutcome = prior?.priorOutcome;
if (priorOutcome && !priorOutcome.accepted && !priorOutcome.wasRealCollision) return false;
// Suppress when the identical prior was dismissed (accepted === false). The
// former `&& !priorOutcome.wasRealCollision` term was dead code: outcomes are
// recorded with wasRealCollision hardcoded true, so the gate never fired and
// the 85 real dismissals in Atlas were ignored. Dismissals are the negative
// signal per continual-learning/policy.md:41 + spec.md:163. (RSI Step 1)
if (priorOutcome && !priorOutcome.accepted) return false;
const cooldown = cooldownMs();
const last = lastNudgeByPod.get(collision.podId) ?? 0;
if (cooldown > 0 && Date.now() - last < cooldown && collision.severity !== 'critical') {
if (cooldown > 0 && Date.now() - last < cooldown) {
return false;
}
+78 -4
View File
@@ -5,9 +5,18 @@ import type {
InterventionOutcome,
InterventionStatus,
} from '@podman/shared';
import { collections } from './db.js';
import { collections, getGitStates } from './db.js';
import { enrichCollisionMemory } from './vectors.js';
function comparableFile(raw?: string): string {
return (raw ?? '')
.trim()
.replace(/^(\?\?|[MADRCU!]{1,2})\s+/, '')
.split(/[\\/]/)
.pop()
?.toLowerCase() ?? '';
}
/**
* Continual-learning memory: persist observations, collisions, interventions,
* and outcomes to MongoDB so later sessions get sharper. MongoDB is mandatory —
@@ -41,6 +50,31 @@ export async function recordIntervention(intervention: Intervention): Promise<vo
);
}
export async function hasRecentInterventionForCollision(
collision: Collision,
windowMs = Number(process.env.NUDGE_COOLDOWN_MS ?? '180000'),
): Promise<boolean> {
if (windowMs <= 0) return false;
const c = await collections();
const since = new Date(Date.now() - windowMs).toISOString();
const recent = await c.collisions
.find({ podId: collision.podId, detectedAt: { $gte: since } })
.sort({ detectedAt: -1 })
.limit(100)
.toArray();
const targetFile = comparableFile(collision.file);
for (const match of recent) {
if (match.id === collision.id || comparableFile(match.file) !== targetFile) continue;
const existing = await c.interventions.findOne({
collisionId: match.id,
createdAt: { $gte: since },
});
if (existing) return true;
}
return false;
}
export async function updateInterventionStatus(
interventionId: string,
status: InterventionStatus,
@@ -50,13 +84,53 @@ export async function updateInterventionStatus(
);
}
/**
* Step 3 — derive whether a flagged collision was REAL from git ground truth,
* instead of trusting the client (which historically hardcoded `true`). A
* collision counts as real only if BOTH named engineers currently have the
* collided file in their git `changedFiles`. Conservative: returns false when
* the collision is orphaned/missing or git state is stale/unavailable.
* Verifier supervision per docs/continual-learning/spec.md:98-108, policy.md:35-42.
*/
export async function deriveWasRealCollision(outcome: InterventionOutcome): Promise<boolean> {
try {
const c = await collections();
const collision = await c.collisions.findOne({ id: outcome.collisionId });
if (!collision) return false;
// Prefer the overlap evidence captured at detection time (fresh git state):
// immune to late clicks, stale sidecars, and the engineer_states TTL.
if (typeof collision.gitOverlap === 'boolean') return collision.gitOverlap;
// Fallback for collisions detected before gitOverlap was captured: re-derive
// from latest git state, matching engineers on case/whitespace-canonical names.
if (!Array.isArray(collision.engineers) || collision.engineers.length < 2) return false;
const target = comparableFile(collision.file);
if (!target) return false;
const byCanon = new Map<string, string[]>();
for (const [name, st] of await getGitStates(outcome.podId)) {
byCanon.set(name.trim().toLowerCase(), st.changedFiles);
}
return collision.engineers.every((e) =>
(byCanon.get(e.trim().toLowerCase()) ?? []).some((f) => comparableFile(f) === target),
);
} catch (err) {
console.error(`[memory] wasRealCollision verifier failed: ${(err as Error).message}`);
return false;
}
}
export async function recordOutcome(outcome: InterventionOutcome): Promise<void> {
// Backend is authoritative for wasRealCollision: derive it from git overlap
// rather than trusting the client-supplied value. (RSI Step 3)
const verified: InterventionOutcome = {
...outcome,
wasRealCollision: await deriveWasRealCollision(outcome),
};
await persist('outcome', async () => {
const c = await collections();
await c.outcomes.insertOne({ ...outcome });
await c.outcomes.insertOne({ ...verified });
await c.interventions.updateOne(
{ id: outcome.interventionId },
{ $set: { status: outcome.accepted ? 'accepted' : 'dismissed' } },
{ id: verified.interventionId },
{ $set: { status: verified.accepted ? 'accepted' : 'dismissed' } },
);
});
}
+427 -5
View File
@@ -1,11 +1,18 @@
import express from 'express';
import cors from 'cors';
import { createServer } from 'node:http';
import type { Socket } from 'node:net';
import { WebSocketServer } from 'ws';
import { AccessToken, RoomConfiguration } from 'livekit-server-sdk';
import { AccessToken, RoomAgentDispatch, RoomConfiguration } from 'livekit-server-sdk';
import { env } from './env.js';
import { createSyncPr } from './github/client.js';
import { recordOutcome, memoryStats } from './memory/store.js';
import {
recordCollision,
recordIntervention,
recordOutcome,
hasRecentInterventionForCollision,
memoryStats,
} from './memory/store.js';
import { closeMemory, initMemory } from './memory/db.js';
import {
listPods,
@@ -19,13 +26,66 @@ import {
} from './pods/store.js';
import { getPresence, closeRoom } from './livekit/rooms.js';
import { loadPodGraph, reachFrom } from './graph/store.js';
import type { InterventionOutcome } from '@podman/shared';
import { listPodActivity } from './activity/store.js';
import { getMemberWorkHistory } from './activity/member-history.js';
import { speakInRoom } from './voice/live.js';
import { getPodMusic } from './voice/music.js';
import { notifyHermesInterventionInRoom } from './action/hermes.js';
import {
activeLiveConversation,
startLiveConversation,
stopLiveConversation,
} from './live-conversation/sessions.js';
import {
getLiveConversationContext,
recordLiveConversationNote,
} from './live-conversation/context.js';
import {
abortHermesJob,
appendHermesJobEvent,
createHermesJob,
getActiveHermesJobForSession,
getHermesJob,
getLatestHermesJobForSession,
listHermesJobEvents,
} from './hermes/jobs.js';
import type {
Collision,
HermesJobEventType,
Intervention,
InterventionOutcome,
SuggestedActionKind,
} from '@podman/shared';
const app = express();
app.use(cors());
app.use(express.json());
app.get('/health', (_req, res) => res.json({ ok: true }));
function stringArray(value: unknown): string[] {
return Array.isArray(value) ? value.map((item) => String(item).trim()).filter(Boolean) : [];
}
function suggestedAction(value: unknown): SuggestedActionKind {
return value === 'open_sync_pr' || value === 'ping_teammate' || value === 'none'
? value
: 'ping_teammate';
}
function hermesJobEventType(value: unknown): HermesJobEventType | null {
return value === 'accepted' ||
value === 'heartbeat' ||
value === 'step_started' ||
value === 'step_output' ||
value === 'needs_confirmation' ||
value === 'step_completed' ||
value === 'aborted' ||
value === 'failed' ||
value === 'completed'
? value
: null;
}
// Mint a LiveKit token for an engineer joining a pod.
app.post('/api/token', async (req, res) => {
const { room, identity, name, githubLogin } = req.body ?? {};
@@ -37,9 +97,22 @@ app.post('/api/token', async (req, res) => {
metadata: JSON.stringify({ githubLogin: githubLogin ?? name }),
});
at.addGrant({ roomJoin: true, room, canPublish: true, canSubscribe: true, canPublishData: true });
const agents = env.LIVEKIT_AGENT_NAME
? [
new RoomAgentDispatch({
agentName: env.LIVEKIT_AGENT_NAME,
metadata: JSON.stringify({ podId: room }),
}),
]
: undefined;
// Auto-clean the room: close 60s after it empties, drop a participant 20s
// after they disconnect. Applied when LiveKit auto-creates the room.
at.roomConfig = new RoomConfiguration({ name: room, emptyTimeout: 60, departureTimeout: 20 });
at.roomConfig = new RoomConfiguration({
name: room,
emptyTimeout: 60,
departureTimeout: 20,
agents,
});
res.json({ token: await at.toJwt(), url: env.LIVEKIT_URL });
});
@@ -136,12 +209,306 @@ app.post('/api/pods/:id/members', async (req, res) => {
}
});
app.post('/api/pods/:id/voice-test', async (req, res) => {
const podId = req.params.id;
const message =
typeof req.body?.message === 'string' && req.body.message.trim()
? req.body.message.trim()
: 'PodMan voice test. Gemini TTS is playing through LiveKit.';
try {
await speakInRoom(podId, message);
res.json({ ok: true });
} catch (e) {
res.status(500).json({ error: (e as Error).message });
}
});
app.post('/api/pods/:id/live-conversation/start', async (req, res) => {
try {
const identity = typeof req.body?.identity === 'string' ? req.body.identity.trim() : '';
const displayName =
typeof req.body?.displayName === 'string' ? req.body.displayName.trim() : identity;
if (!identity) return res.status(400).json({ error: 'identity is required' });
const pod = await getPod(req.params.id);
if (!pod) return res.status(404).json({ error: 'pod not found' });
res.json(await startLiveConversation({ podId: req.params.id, identity, displayName }));
} catch (e) {
res.status(500).json({ error: (e as Error).message });
}
});
app.post('/api/pods/:id/live-conversation/:sessionId/stop', async (req, res) => {
try {
const session = await stopLiveConversation(req.params.id, req.params.sessionId);
if (!session) return res.status(404).json({ error: 'session not found' });
res.json({ ok: true, session });
} catch (e) {
res.status(500).json({ error: (e as Error).message });
}
});
app.get('/api/pods/:id/live-conversation/status', (req, res) => {
const identity = typeof req.query.identity === 'string' ? req.query.identity.trim() : '';
if (!identity) return res.status(400).json({ error: 'identity is required' });
res.json({ active: activeLiveConversation(req.params.id, identity) });
});
app.get('/api/pods/:id/live-conversation/:sessionId/hermes-job', async (req, res) => {
try {
const job = await getLatestHermesJobForSession(req.params.sessionId);
if (!job || job.podId !== req.params.id) return res.json({ job: null, events: [] });
res.json({ job, events: await listHermesJobEvents(job.id, 12) });
} catch (e) {
res.status(500).json({ error: (e as Error).message });
}
});
app.post('/api/pods/:id/live-conversation/:sessionId/hermes-job/abort', async (req, res) => {
try {
const job = await getActiveHermesJobForSession(req.params.sessionId);
if (!job || job.podId !== req.params.id)
return res.status(404).json({ error: 'active job not found' });
res.json({ job: await abortHermesJob(job.id) });
} catch (e) {
res.status(500).json({ error: (e as Error).message });
}
});
function requireInternalAgent(req: express.Request, res: express.Response): boolean {
const expected = env.INTERNAL_AGENT_TOKEN;
if (!expected) {
res.status(503).json({ error: 'INTERNAL_AGENT_TOKEN is not configured' });
return false;
}
const header = req.header('authorization') ?? '';
const actual = header.startsWith('Bearer ') ? header.slice('Bearer '.length) : '';
if (actual !== expected) {
res.status(401).json({ error: 'unauthorized' });
return false;
}
return true;
}
app.get('/api/internal/pods/:id/live-context', async (req, res) => {
if (!requireInternalAgent(req, res)) return;
try {
const identity = typeof req.query.identity === 'string' ? req.query.identity.trim() : '';
if (!identity) return res.status(400).json({ error: 'identity is required' });
res.json(await getLiveConversationContext(req.params.id, identity));
} catch (e) {
res.status(500).json({ error: (e as Error).message });
}
});
app.post('/api/internal/pods/:id/live-conversation/:sessionId/note', async (req, res) => {
if (!requireInternalAgent(req, res)) return;
try {
const note = typeof req.body?.note === 'string' ? req.body.note : '';
const identity = typeof req.body?.identity === 'string' ? req.body.identity : undefined;
const kind = typeof req.body?.kind === 'string' ? req.body.kind : undefined;
res.status(201).json(
await recordLiveConversationNote({
podId: req.params.id,
sessionId: req.params.sessionId,
identity,
kind,
note,
}),
);
} catch (e) {
res.status(400).json({ error: (e as Error).message });
}
});
app.post('/api/internal/hermes/jobs', async (req, res) => {
if (!requireInternalAgent(req, res)) return;
try {
res.status(202).json(await createHermesJob(req.body ?? {}));
} catch (e) {
res.status(400).json({ error: (e as Error).message });
}
});
app.get('/api/internal/hermes/jobs/:jobId', async (req, res) => {
if (!requireInternalAgent(req, res)) return;
const job = await getHermesJob(req.params.jobId);
if (!job) return res.status(404).json({ error: 'job not found' });
res.json(job);
});
app.post('/api/internal/hermes/jobs/:jobId/abort', async (req, res) => {
if (!requireInternalAgent(req, res)) return;
const job = await abortHermesJob(req.params.jobId);
if (!job) return res.status(404).json({ error: 'job not found' });
res.json(job);
});
app.get('/api/internal/hermes/jobs/:jobId/events', async (req, res) => {
if (!requireInternalAgent(req, res)) return;
const job = await getHermesJob(req.params.jobId);
if (!job) return res.status(404).json({ error: 'job not found' });
res.json(await listHermesJobEvents(req.params.jobId, 100));
});
app.post('/api/internal/hermes/jobs/:jobId/events', async (req, res) => {
if (!requireInternalAgent(req, res)) return;
try {
const { type, message, data } = req.body ?? {};
const eventType = hermesJobEventType(type);
if (!eventType || typeof message !== 'string') {
return res.status(400).json({ error: 'type and message are required' });
}
res.status(201).json(await appendHermesJobEvent(req.params.jobId, eventType, message, data));
} catch (e) {
res.status(400).json({ error: (e as Error).message });
}
});
app.get('/api/internal/hermes/jobs/:jobId/events/stream', async (req, res) => {
if (!requireInternalAgent(req, res)) return;
const job = await getHermesJob(req.params.jobId);
if (!job) return res.status(404).json({ error: 'job not found' });
res.setHeader('Content-Type', 'text/event-stream');
res.setHeader('Cache-Control', 'no-cache, no-transform');
res.setHeader('Connection', 'keep-alive');
res.flushHeaders?.();
let closed = false;
let lastIds = new Set<string>();
const send = async () => {
if (closed) return;
try {
const events = await listHermesJobEvents(req.params.jobId, 100);
const fresh = events.filter((event) => !lastIds.has(event.id));
lastIds = new Set(events.map((event) => event.id));
for (const event of fresh) {
res.write(`event: job-event\n`);
res.write(`data: ${JSON.stringify(event)}\n\n`);
}
const current = await getHermesJob(req.params.jobId);
if (current && ['completed', 'failed', 'aborted'].includes(current.status)) {
res.write(`event: done\n`);
res.write(`data: ${JSON.stringify(current)}\n\n`);
closed = true;
res.end();
} else {
res.write(`: keepalive ${Date.now()}\n\n`);
}
} catch (e) {
res.write(`event: error\n`);
res.write(`data: ${JSON.stringify({ error: (e as Error).message })}\n\n`);
}
};
await send();
const interval = setInterval(() => void send(), 1500);
req.on('close', () => {
closed = true;
clearInterval(interval);
});
});
// Per-pod background music (Lyria), generated once and cached. Streams MP3 the
// frontend loops as a pod-wide LiveKit track (replaces the synthesized beat).
app.get('/api/pods/:id/music', async (req, res) => {
try {
const pod = await getPod(req.params.id);
if (!pod) return res.status(404).json({ error: 'pod not found' });
const mp3 = await getPodMusic(pod.id, pod.name);
res.set('Content-Type', 'audio/mpeg');
res.set('Cache-Control', 'public, max-age=86400');
res.send(mp3);
} catch (e) {
res.status(500).json({ error: (e as Error).message });
}
});
app.post('/api/pods/:id/hermes/notify', async (req, res) => {
const podId = req.params.id;
const pod = await getPod(podId);
if (!pod) return res.status(404).json({ error: 'pod not found' });
const body = req.body ?? {};
const message = typeof body.message === 'string' ? body.message.trim() : '';
if (!message) return res.status(400).json({ error: 'message is required' });
const now = new Date().toISOString();
const engineers = stringArray(body.engineers);
const recipients = engineers.length ? engineers : pod.members.slice(0, 2);
const file =
typeof body.file === 'string' && body.file.trim() ? body.file.trim() : 'Hermes signal';
const urgent = body.urgency === 'urgent' || body.severity === 'critical';
const collision: Collision = {
id:
typeof body.collisionId === 'string' && body.collisionId
? body.collisionId
: `col_${Date.now()}`,
podId,
file,
symbol: typeof body.symbol === 'string' && body.symbol ? body.symbol : undefined,
engineers: recipients,
severity: urgent ? 'critical' : 'warn',
githubState: { unpushed: body.unpushed !== false },
detectedAt: now,
};
const intervention: Intervention = {
id:
typeof body.interventionId === 'string' && body.interventionId
? body.interventionId
: `int_${Date.now()}`,
collisionId: collision.id,
podId,
kind: urgent ? 'voice' : 'card',
message,
suggestedAction: {
kind: suggestedAction(body.suggestedAction),
params: {
file,
engineers: recipients,
source: 'local-hermes',
},
},
status: 'pending',
createdAt: now,
};
const voiceLine =
urgent && body.speak !== false
? typeof body.voiceLine === 'string' && body.voiceLine.trim()
? body.voiceLine.trim()
: message
: undefined;
try {
if (body.force !== true && (await hasRecentInterventionForCollision(collision))) {
return res.status(202).json({ ok: true, collision, intervention, livekit: 'suppressed' });
}
await recordCollision(collision);
await recordIntervention(intervention);
if (body.dryRun === true) {
return res.status(202).json({ ok: true, collision, intervention, livekit: 'dry-run' });
}
await notifyHermesInterventionInRoom(podId, collision, intervention, voiceLine);
res.status(202).json({ ok: true, collision, intervention, livekit: 'notified' });
} catch (e) {
res.status(500).json({ error: (e as Error).message });
}
});
app.delete('/api/pods/:id/members/:name', async (req, res) => {
const pod = await removeMember(req.params.id, req.params.name);
if (!pod) return res.status(404).json({ error: 'pod not found' });
res.json(pod);
});
app.get('/api/pods/:id/members/:name/history', async (req, res) => {
try {
const hours = Number(req.query.hours ?? 24) || 24;
const limit = Number(req.query.limit ?? 80) || 80;
res.json(await getMemberWorkHistory(req.params.id, req.params.name, { hours, limit }));
} catch (e) {
res.status(500).json({ error: (e as Error).message });
}
});
// --- Continual-learning graph (team_model view) ---
app.get('/api/pods/:id/graph', async (req, res) => {
try {
@@ -159,7 +526,58 @@ app.get('/api/pods/:id/graph/reach/:node', async (req, res) => {
}
});
app.get('/api/pods/:id/activity', async (req, res) => {
try {
const limit = Math.min(Number(req.query.limit ?? 80) || 80, 200);
res.json(await listPodActivity(req.params.id, limit));
} catch (e) {
res.status(500).json({ error: (e as Error).message });
}
});
app.get('/api/pods/:id/activity/stream', async (req, res) => {
res.setHeader('Content-Type', 'text/event-stream');
res.setHeader('Cache-Control', 'no-cache, no-transform');
res.setHeader('Connection', 'keep-alive');
res.flushHeaders?.();
let closed = false;
let lastPayload = '';
const send = async () => {
if (closed) return;
try {
const events = await listPodActivity(req.params.id, 80);
const payload = JSON.stringify(events);
if (payload !== lastPayload) {
lastPayload = payload;
res.write(`event: snapshot\n`);
res.write(`data: ${payload}\n\n`);
} else {
res.write(`: keepalive ${Date.now()}\n\n`);
}
} catch (e) {
res.write(`event: error\n`);
res.write(`data: ${JSON.stringify({ error: (e as Error).message })}\n\n`);
}
};
await send();
const interval = setInterval(() => void send(), 1500);
req.on('close', () => {
closed = true;
clearInterval(interval);
});
});
const http = createServer(app);
const sockets = new Set<Socket>();
http.on('connection', (socket) => {
sockets.add(socket);
socket.on('close', () => sockets.delete(socket));
});
// ws relay: the agent pushes collision/intervention JSON here; PWAs subscribed by pod receive it.
const wss = new WebSocketServer({ server: http, path: '/api/events' });
@@ -191,7 +609,11 @@ async function shutdown(signal: NodeJS.Signals): Promise<void> {
console.log(`[server] ${signal} received; shutting down`);
for (const client of clients) client.close();
wss.close();
await new Promise<void>((resolve) => http.close(() => resolve()));
for (const socket of sockets) socket.destroy();
await Promise.race([
new Promise<void>((resolve) => http.close(() => resolve())),
new Promise<void>((resolve) => setTimeout(resolve, 5000)),
]);
await closeMemory().catch((e) => console.warn(`[memory] close failed: ${(e as Error).message}`));
process.exit(0);
}
+171 -30
View File
@@ -3,19 +3,46 @@ import {
AudioFrame,
AudioSource,
LocalAudioTrack,
Room,
TrackPublishOptions,
TrackSource,
type Room,
type LocalParticipant,
} from '@livekit/rtc-node';
import { GoogleGenAI, Modality, type LiveServerMessage, type Session } from '@google/genai';
import { AccessToken } from 'livekit-server-sdk';
import { DATA_TOPIC, type DataMessage } from '@podman/shared';
import { env } from '../env.js';
const SAMPLE_RATE = 24_000;
const CHANNELS = 1;
const FRAME_SAMPLES = SAMPLE_RATE / 10;
const SUBSCRIBER_READY_MS = 1_500;
const AUDIO_PREROLL_MS = 800;
const AUDIO_TAIL_MS = 1_500;
const AUDIO_HOLD_MS = 5_000;
const VOICE_QUEUE_MS = 60_000;
const VOICE_TRACK_PREFIX = 'podman-hermes-voice';
const encoder = new TextEncoder();
const ai = new GoogleGenAI({ apiKey: env.GEMINI_API_KEY });
let voiceQueue: Promise<void> = Promise.resolve();
export interface SpeakOptions {
priority?: 'normal' | 'critical';
}
function delay(ms: number): Promise<void> {
return new Promise((resolve) => setTimeout(resolve, ms));
}
function ttsPrompt(message: string): string {
return [
'Speak this PodMan coordination alert as a calm, natural engineering teammate.',
'Use warm human pacing, clear pronunciation, and a brief pause after the first sentence.',
'Do not add extra words, labels, markdown, or sound effects.',
'',
message,
].join('\n');
}
async function publishVoiceCue(room: Room, message: string): Promise<void> {
const cue: DataMessage = { type: 'VOICE_CUE', text: message };
@@ -25,12 +52,24 @@ async function publishVoiceCue(room: Room, message: string): Promise<void> {
});
}
async function unpublishVoiceTracks(localParticipant: LocalParticipant): Promise<void> {
const publications = Array.from(localParticipant.trackPublications.values()).filter(
(publication) => publication.name?.startsWith(VOICE_TRACK_PREFIX) && publication.sid,
);
for (const publication of publications) {
await localParticipant.unpublishTrack(publication.sid!, true).catch((err) => {
console.warn(`[voice] stale track cleanup failed: ${(err as Error).message}`);
});
}
}
function audioFrameFromBase64(data: string, mimeType?: string): AudioFrame | null {
if (mimeType && !mimeType.includes('audio')) return null;
const buf = Buffer.from(data, 'base64');
if (buf.byteLength < 2) return null;
const bytes = buf.byteLength % 2 === 0 ? buf : buf.subarray(0, buf.byteLength - 1);
const samples = new Int16Array(bytes.buffer, bytes.byteOffset, bytes.byteLength / 2);
const samples = new Int16Array(bytes.byteLength / 2);
for (let i = 0; i < samples.length; i += 1) samples[i] = bytes.readInt16LE(i * 2);
return new AudioFrame(samples, SAMPLE_RATE, CHANNELS, samples.length / CHANNELS);
}
@@ -53,7 +92,7 @@ function framesFromPcmBase64(data: string, mimeType?: string): AudioFrame[] {
const samples = frame.data;
const frames: AudioFrame[] = [];
for (let offset = 0; offset < samples.length; offset += FRAME_SAMPLES) {
const chunk = samples.subarray(offset, Math.min(offset + FRAME_SAMPLES, samples.length));
const chunk = samples.slice(offset, Math.min(offset + FRAME_SAMPLES, samples.length));
frames.push(new AudioFrame(chunk, SAMPLE_RATE, CHANNELS, chunk.length / CHANNELS));
}
return frames;
@@ -62,10 +101,11 @@ function framesFromPcmBase64(data: string, mimeType?: string): AudioFrame[] {
async function generateTtsFrames(message: string): Promise<AudioFrame[]> {
const res = await ai.models.generateContent({
model: env.GEMINI_LIVE_MODEL,
contents: [{ parts: [{ text: message }] }],
contents: [{ parts: [{ text: ttsPrompt(message) }] }],
config: {
responseModalities: [Modality.AUDIO],
speechConfig: { voiceConfig: { prebuiltVoiceConfig: { voiceName: 'Kore' } } },
speechConfig: { voiceConfig: { prebuiltVoiceConfig: { voiceName: env.GEMINI_TTS_VOICE } } },
temperature: 0.8,
},
});
const parts = res.candidates?.[0]?.content?.parts ?? [];
@@ -74,29 +114,60 @@ async function generateTtsFrames(message: string): Promise<AudioFrame[]> {
);
}
async function speakWithTts(source: AudioSource, message: string): Promise<void> {
for (const frame of await generateTtsFrames(message)) {
await source.captureFrame(frame);
}
function fallbackVoiceLine(message: string): string {
const clean = message.replace(/^heads up[.!]?\s*/i, '').trim();
if (clean && clean !== message) return clean;
return 'PodMan noticed a critical conflict. Please sync with the team before pushing.';
}
async function speakWithLive(source: AudioSource, message: string): Promise<void> {
async function speakWithTts(source: AudioSource, message: string): Promise<number> {
let frames: AudioFrame[];
try {
frames = await generateTtsFrames(message);
} catch (err) {
const fallback = fallbackVoiceLine(message);
console.warn(`[voice] Gemini TTS retrying with fallback line: ${(err as Error).message}`);
frames = await generateTtsFrames(fallback);
}
if (frames.length === 0) throw new Error('Gemini TTS returned no audio frames');
const durationMs = frames.reduce(
(sum, frame) => sum + (frame.samplesPerChannel / frame.sampleRate) * 1000,
0,
);
console.log(
`[voice] publishing Gemini TTS audio frames=${frames.length} durationMs=${Math.round(durationMs)}`,
);
for (const frame of frames) {
await source.captureFrame(frame);
}
return durationMs;
}
async function speakWithLive(source: AudioSource, message: string): Promise<number> {
let durationMs = 0;
let done: () => void = () => {};
const donePromise = new Promise<void>((resolve) => {
done = resolve;
});
const session: Session = await ai.live.connect({
model: env.GEMINI_LIVE_MODEL,
config: { responseModalities: [Modality.AUDIO] },
config: {
responseModalities: [Modality.AUDIO],
speechConfig: { voiceConfig: { prebuiltVoiceConfig: { voiceName: env.GEMINI_TTS_VOICE } } },
temperature: 0.8,
},
callbacks: {
onmessage: (event) => {
void (async () => {
for (const frame of audioFrames(event)) await source.captureFrame(frame);
for (const frame of audioFrames(event)) {
durationMs += (frame.samplesPerChannel / frame.sampleRate) * 1000;
await source.captureFrame(frame);
}
if (event.serverContent?.turnComplete || event.serverContent?.generationComplete) done();
})();
},
onerror: (event) => {
console.warn(`[voice] Gemini Live error: ${event.message}`);
console.warn(`[voice] Gemini voice error: ${event.message}`);
done();
},
onclose: done,
@@ -104,36 +175,106 @@ async function speakWithLive(source: AudioSource, message: string): Promise<void
});
session.sendClientContent({
turns: [{ role: 'user', parts: [{ text: message }] }],
turns: [{ role: 'user', parts: [{ text: ttsPrompt(message) }] }],
turnComplete: true,
});
await Promise.race([donePromise, new Promise((resolve) => setTimeout(resolve, 15_000))]);
session.close();
return durationMs;
}
/**
* Speak a message into the LiveKit room using Gemini Live audio. A data-channel
* VOICE_CUE is sent first so clients still get the cue if audio generation or
* publishing fails.
*/
export async function speak(room: Room, message: string): Promise<void> {
await publishVoiceCue(room, message);
if (!room.localParticipant) return;
async function waitForVoicePlayout(source: AudioSource): Promise<void> {
if (source.queuedDuration <= 0) return;
const queuedMs = Math.round(source.queuedDuration);
console.log(`[voice] waiting for queued audio playout queuedMs=${queuedMs}`);
await Promise.race([
source.waitForPlayout(),
new Promise((resolve) => setTimeout(resolve, VOICE_QUEUE_MS + 2_000)),
]);
console.log('[voice] queued audio playout complete');
}
const source = new AudioSource(SAMPLE_RATE, CHANNELS);
const track = LocalAudioTrack.createAudioTrack('podman-hermes-voice', source);
async function captureSilence(source: AudioSource, durationMs: number): Promise<void> {
const totalSamples = Math.max(1, Math.round((SAMPLE_RATE * durationMs) / 1000));
for (let offset = 0; offset < totalSamples; offset += FRAME_SAMPLES) {
const samples = Math.min(FRAME_SAMPLES, totalSamples - offset);
await source.captureFrame(new AudioFrame(new Int16Array(samples), SAMPLE_RATE, CHANNELS, samples));
}
}
async function speakAudio(room: Room, message: string): Promise<void> {
const localParticipant = room.localParticipant;
if (!localParticipant) return;
await unpublishVoiceTracks(localParticipant);
const source = new AudioSource(SAMPLE_RATE, CHANNELS, VOICE_QUEUE_MS);
const track = LocalAudioTrack.createAudioTrack(`${VOICE_TRACK_PREFIX}-${Date.now()}`, source);
const options = new TrackPublishOptions();
options.source = TrackSource.SOURCE_MICROPHONE;
let publicationSid: string | undefined;
try {
const publication = await room.localParticipant.publishTrack(track, options);
if (env.GEMINI_LIVE_MODEL.includes('tts')) await speakWithTts(source, message);
else await speakWithLive(source, message);
if (publication.sid) await room.localParticipant.unpublishTrack(publication.sid, true);
await source.close();
const publication = await localParticipant.publishTrack(track, options);
publicationSid = publication.sid;
await delay(SUBSCRIBER_READY_MS);
await captureSilence(source, AUDIO_PREROLL_MS);
const audioDurationMs = env.GEMINI_LIVE_MODEL.includes('tts')
? await speakWithTts(source, message)
: await speakWithLive(source, message);
await captureSilence(source, AUDIO_TAIL_MS);
await waitForVoicePlayout(source);
const manualHoldMs = Math.ceil(audioDurationMs + AUDIO_TAIL_MS + AUDIO_HOLD_MS);
console.log(`[voice] holding track for subscriber playout holdMs=${manualHoldMs}`);
await delay(manualHoldMs);
} catch (err) {
console.warn(`[voice] Gemini Live publish failed: ${(err as Error).message}`);
console.warn(`[voice] Gemini voice publish failed: ${(err as Error).message}`);
} finally {
if (publicationSid) {
await localParticipant.unpublishTrack(publicationSid, true).catch((err) => {
console.warn(`[voice] track unpublish failed: ${(err as Error).message}`);
});
}
await source.close().catch(() => {});
}
}
/**
* Speak a message into the LiveKit room using Gemini audio. A data-channel
* VOICE_CUE is sent first so clients still get the cue if audio generation or
* publishing fails.
*/
export async function speak(room: Room, message: string, options: SpeakOptions = {}): Promise<void> {
await publishVoiceCue(room, message);
if (options.priority === 'critical') {
await speakAudio(room, message);
return;
}
voiceQueue = voiceQueue.catch(() => {}).then(() => speakAudio(room, message));
await voiceQueue;
}
export async function speakInRoom(
roomName: string,
message: string,
options: SpeakOptions = {},
): Promise<void> {
const room = new Room();
try {
const at = new AccessToken(env.LIVEKIT_API_KEY, env.LIVEKIT_API_SECRET, {
identity: `podman-voice-${Date.now()}`,
name: 'PodMan voice',
ttl: '5m',
});
at.addGrant({
roomJoin: true,
room: roomName,
canPublish: true,
canSubscribe: true,
canPublishData: true,
});
await room.connect(env.LIVEKIT_URL, await at.toJwt());
await speak(room, message, options);
} finally {
await room.disconnect().catch(() => {});
}
}
+94
View File
@@ -0,0 +1,94 @@
import { Buffer } from 'node:buffer';
import { getDb } from '../memory/db.js';
import { env } from '../env.js';
// Lyria 3 is reached via the Gemini "interactions" endpoint (not :predict, which
// is the Vertex path). The clip model returns a ~30s base64 MP3.
const MUSIC_MODEL = process.env.GEMINI_MUSIC_MODEL ?? 'lyria-3-clip-preview';
const INTERACTIONS_URL = 'https://generativelanguage.googleapis.com/v1beta/interactions';
interface PodMusicDoc {
podId: string;
name: string; // pod name the vocal was generated for
model: string;
mp3Base64: string;
createdAt: string;
}
interface InteractionContent {
type?: string;
data?: string;
text?: string;
}
interface InteractionResponse {
steps?: Array<{ content?: InteractionContent[] }>;
output_audio?: { data?: string };
}
/**
* Background "hold music" prompt: opens with the pod name sung once, then a calm
* instrumental bed that loops. Keep it unobtrusive — this is fill, not a song.
*/
function musicPrompt(podName: string): string {
return [
'Calm soothing instrumental background hold music for a tech app, like gentle on-hold lobby music.',
`It opens in the first three seconds with a soft gentle voice clearly saying the words "${podName}" one time,`,
'and after that opening it is purely instrumental with warm electric piano, gentle synth pads and a soft relaxed beat.',
'Unobtrusive, pleasant and steady with no climax, designed to loop seamlessly as quiet background fill.',
'No other lyrics or vocals after the opening.',
].join(' ');
}
function extractAudioBase64(data: InteractionResponse): string | null {
for (const step of data.steps ?? []) {
for (const c of step.content ?? []) {
if (c.type === 'audio' && c.data) return c.data;
}
}
return data.output_audio?.data ?? null;
}
async function generate(podName: string): Promise<Buffer> {
const res = await fetch(INTERACTIONS_URL, {
method: 'POST',
headers: { 'Content-Type': 'application/json', 'x-goog-api-key': env.GEMINI_API_KEY },
body: JSON.stringify({ model: MUSIC_MODEL, input: musicPrompt(podName) }),
});
if (!res.ok) {
throw new Error(`Lyria ${res.status}: ${(await res.text()).slice(0, 300)}`);
}
const data = (await res.json()) as InteractionResponse;
const b64 = extractAudioBase64(data);
if (!b64) throw new Error('Lyria returned no audio');
return Buffer.from(b64, 'base64');
}
/**
* The pod's background-music MP3, generated by Lyria on first request and cached
* in the `pod_music` collection. Regenerated if the pod name changes so the sung
* name stays correct. Lyria generation is slow (~20s); the cache makes every
* call after the first instant.
*/
export async function getPodMusic(podId: string, podName: string): Promise<Buffer> {
const db = await getDb();
const col = db.collection<PodMusicDoc>('pod_music');
const cached = await col.findOne({ podId });
if (cached && cached.name === podName && cached.model === MUSIC_MODEL && cached.mp3Base64) {
return Buffer.from(cached.mp3Base64, 'base64');
}
const mp3 = await generate(podName);
await col.updateOne(
{ podId },
{
$set: {
podId,
name: podName,
model: MUSIC_MODEL,
mp3Base64: mp3.toString('base64'),
createdAt: new Date().toISOString(),
},
},
{ upsert: true },
);
return mp3;
}
-730
View File
@@ -1,730 +0,0 @@
# PodMan - Canonical Master Plan
> Source of truth for PodMan product intent, current implementation truth, demo
> strategy, public interfaces, risks, sponsor story, and next build order.
>
> If this file conflicts with `README.md`, `docs/idea.md`, `docs/livekit.md`,
> `docs/gemini.md`, `docs/mongodb.md`, `docs/digitalocean.md`,
> `docs/demo-setup.md`, or `docs/superpowers/specs/*`, follow this file and
> treat the older docs as reference material to reconcile later.
---
## 1. Product thesis
**PodMan sees active work before it becomes visible to GitHub, remembers how the
team works, researches better paths in the background, and coordinates teammates
without being intrusive.**
GitHub knows pushed branches, PRs, issues, and comments. It cannot see the most
expensive coordination failures while they are still forming on laptops: two
engineers editing the same unpushed file, someone blocked on an endpoint a
teammate is nearly done with, duplicated work starting silently, or a team
walking into a dead-end implementation path.
PodMan puts engineers in a consented LiveKit pod, watches live IDE/screen
context, fuses that with scheduled local git reports, GitHub state, MongoDB team
memory, and background research, then routes only useful interventions through
Hermes. The default is a small visual card. Hermes can message teammates when
the team needs coordination. Voice is reserved for urgent escalation.
**One-line product definition:** PodMan is a non-intrusive, continual-learning
team assistant for active coding.
**One-line demo promise:** PodMan notices live work, finds a better path,
remembers a previous intervention, and escalates only when the team actually
needs it.
---
## 2. Product contract
### Inputs
- **Live IDE/screen context:** engineers join a LiveKit room and publish screen
share so the backend agent can sample real work in progress.
- **Scheduled local git state:** each laptop should report dirty files,
unpushed commits, branch, and latest commit about every minute. This is the
deterministic fallback for facts vision cannot reliably infer.
- **MongoDB team memory:** ownership, current tasks, blockers, repeated
mistakes, preferred tools, decisions, intervention history, and outcomes.
- **GitHub repo state:** public repo metadata, branches, PR artifacts, and
issue/PR state when it exists.
- **Background research signals:** tool, repo, skill, package, docs, and
dead-end evidence discovered while teammates are working.
### Outputs
- **Default:** small visual intervention card in the PodMan frontend.
- **Coordination:** Hermes message to the right teammate(s) or project channel.
- **Urgent escalation:** voice only when timing or risk justifies interruption.
- **Action path:** optional sync PR, research recommendation, summary, fix
suggestion, or teammate notification.
### Memory rules
- Remember team-level work patterns, not raw screen recordings.
- Store structured observations, collisions, interventions, outcomes, and pod
state.
- Add exact-signature recall before vector recall: normalized file, symbol,
engineer pair, event type, and accepted/dismissed outcome.
- Privacy must stay explicit: engineers consent by joining the pod and sharing
screen context; do not store raw screenshots, full recordings, or secrets.
### Non-goals
- Not a dashboard as the product center.
- Not a screenshot analyzer with no action loop.
- Not sponsor-padding; every sponsor technology must be load-bearing or clearly
marked as optional polish.
- Not a task manager, Slack clone, full auth system, or general surveillance
tool.
---
## 3. Track fit: Continual Learning
PodMan fits **Continual Learning** because the system gets more useful from team
history and intervention outcomes.
- **Team model:** observations build ownership, hotspot, blocker, tool, and
decision memory per pod.
- **Outcome loop:** accepted, dismissed, and confirmed interventions become
supervision for future thresholds and routing.
- **Session compounding:** a later similar situation should reference prior
memory, choose a better action sooner, or lower the noise level.
- **Visible demo proof:** the first intervention writes memory; the second
similar situation retrieves it and says, in effect, "I have seen this pattern
before."
The learning proof should not depend on Atlas Vector Search being finished.
Exact MongoDB recall is enough for the MVP learning beat.
---
## 4. Current implementation truth
Verified on `2026-06-27` from local repo inspection, authenticated `gh`, and
the current remote plan commit.
### GitHub state
- Repo: <https://github.com/karti-ai/podman>
- Visibility: public
- Default branch: `main`
- Current local branch: `main`
- Local branch state during this rewrite: behind `origin/main` by two commits
- Issues: none
- PRs: none
- `origin/main` latest relevant commits:
- `8271188 feat(frontend): live room view, beat connectivity test, session resume`
- `65a0791 docs(plan): audit server state + mark tasks 1-5 done, reflect actual arch`
### Working / started
- Monorepo packages exist: `frontend`, `backend`, `shared`, `database`, and
`infra`.
- Backend is split into two processes:
- API service in `backend/src/server.ts`.
- LiveKit agent worker in `backend/src/agent.ts`.
- Backend API exposes:
- `GET /health`
- `POST /api/token`
- `POST /api/sync-pr`
- `POST /api/outcome`
- `GET /api/memory/stats`
- `GET /api/pods`
- `POST /api/pods`
- `GET /api/pods/:id`
- `PATCH /api/pods/:id`
- `DELETE /api/pods/:id`
- `POST /api/pods/:id/members`
- `DELETE /api/pods/:id/members/:name`
- Remote API health check returned `{"ok":true}` at
`http://165.22.129.249:8787/health` during verification.
- The LiveKit agent uses `@livekit/rtc-node` to join as `podman-agent`, subscribe
to `TrackSource.SOURCE_SCREENSHARE`, sample frames near 1 fps, convert frames
to RGBA, and encode downscaled JPEGs with `sharp`.
- Gemini vision is wired in `backend/src/vision/gemini.ts` with JSON structured
output, response schema, low media resolution, and model ID from env.
- Collision detection exists and groups engineer contexts by normalized file,
then fires when 2+ engineers touch the same file and at least one unpushed or
dirty signal exists.
- Shared LiveKit data topic and wire messages exist:
- topic: `podman.intervention`
- messages: `COLLISION`, `VOICE_CUE`, `ACK`, `GIT_REPORT`
- MongoDB persistence groundwork exists for observations, collisions,
interventions, outcomes, and pods.
- Frontend has pod selection, pod join, post-join pod view, LiveKit join helper,
and dev-mode fallback.
- `origin/main` adds live room participants, active-speaker state, session
resume, a "Play beat" audio connectivity test, and a deliberate "Share my
screen" button that publishes with `Track.Source.ScreenShare`. Merge that
remote commit before doing more frontend work on the local checkout.
- DigitalOcean infra scaffolding exists:
- `infra/.do/app.yaml` is the split App Platform direction.
- `infra/app.yaml` is an older single-service backend spec and should be
treated as legacy until reconciled.
### Server snapshot
From the remote plan snapshot and health check on `2026-06-27`:
- Backend API: running on `http://165.22.129.249:8787` and `/health` returned
`{"ok":true}`.
- Frontend: reported running on `:81`; port `80` was already taken.
- Agent worker: reported not running; it still needs LiveKit credentials and
`pnpm --filter @podman/backend dev:agent`.
- Treat this as operational evidence, not architecture truth. Reverify before
demo.
### Partial / completed since the original audit
- `backend/src/voice/live.ts` now publishes a `VOICE_CUE` fallback and attempts
Gemini audio publication into LiveKit. The agent only calls it for critical
interventions so voice remains an urgent escalation path.
- Hermes now has a data-channel teammate message path via `HERMES_MESSAGE` on
the existing `podman.intervention` topic. This is the MVP notification bridge,
not a Slack/Discord integration.
- `backend/src/memory/vectors.ts` implements exact-signature recall first and
can use Voyage/Gemini embeddings with Atlas Vector Search when configured.
- Exact-signature recall now attaches prior interventions/outcomes and prefers
accepted real collisions, giving the learning beat deterministic MongoDB
proof before vector search.
- `backend/src/memory/policy.ts` now uses severity, per-pod cooldown, and prior
outcome history. It is still a simple policy, not a trained threshold model.
- `POST /api/sync-pr` now creates a visible Markdown sync artifact commit before
opening the PR.
- Frontend `PodView` renders intervention cards, Hermes messages, voice cues,
and the accepted sync PR artifact link.
- Browser screen publishing exists, but the active join path must be proven to
tag tracks as screen share so the backend agent can filter them correctly. The
`origin/main` screen-share button appears to address this; local code remains
behind until that commit is merged.
- `GIT_REPORT` exists in shared types and agent handling. `scripts/podman-agent.mjs`
is the finished per-laptop git sidecar — polls every 15 s, upserts git fields
to `engineer_states` collection. The backend agent now fuses those Mongo
git-state fields into live contexts before collision detection; direct
LiveKit `GIT_REPORT` publication from the sidecar remains optional.
- Background research recommendations are a product requirement and demo goal,
not an implemented research agent yet.
- Deployment reliability is partial; API health is reachable, but API/static
site/worker together must still be reverified before demo.
- Env docs now align on `gemini-3.5-flash` for vision and
`gemini-3.1-flash-tts-preview` for voice. The backend still preserves a Gemini
Live path for future available Live models.
### Not yet proven
- Real browser -> LiveKit room -> backend agent screen-frame capture end to end.
- Real Gemini inference from a live shared IDE frame using the stage key/model.
- Real data-channel intervention card rendering in the active frontend.
- Hermes message routing to teammates.
- Voice escalation heard by participants through LiveKit.
- A meaningful real sync PR flow with correct GitHub scopes and artifact.
- Atlas Vector Search / Voyage recall path.
- DigitalOcean static site + API service + LiveKit agent worker all running
together.
- Background research recommendation that is both timely and evidence-backed.
---
## 5. Architecture to build toward
```
Engineer browser PWA
- joins a pod room
- publishes screen share and optional mic
- receives intervention cards and voice
|
v
LiveKit room
- one room per pod
- screen-share tracks are the live work signal
- small reliable data packets carry interventions
|
v
PodMan backend agent worker
- @livekit/rtc-node room participant
- screen-track subscription
- frame throttle and JPEG encode
- Gemini structured vision
- scheduled GIT_REPORT fusion
- GitHub state fusion
- collision, blocker, duplicate-work, and dead-end detection
- MongoDB memory recall and policy
|
v
Hermes action layer
- visual card routing
- teammate messages
- urgent voice escalation
- optional research/action/sync PR workflows
|
v
Backend API + MongoDB + GitHub
- token minting, pod CRUD, outcomes, memory stats
- observations, collisions, interventions, outcomes, pod memory
- public repo state and PR artifacts
```
The backend must remain split:
- **API service:** routable HTTP process with `/api/*` endpoints and health
checks.
- **Agent worker:** outbound LiveKit participant with no HTTP health-check port
requirement.
This split matters for DigitalOcean App Platform: the LiveKit agent should be a
worker, not a web service that App Platform expects to health-check over HTTP.
---
## 6. Public interfaces to preserve
Do not rename or reshape these without updating frontend, backend, docs, and demo
scripts together.
### Backend HTTP
- `GET /health`
- `POST /api/token`
- `POST /api/sync-pr`
- `POST /api/outcome`
- `GET /api/memory/stats`
- `GET /api/pods`
- `POST /api/pods`
- `GET /api/pods/:id`
- `PATCH /api/pods/:id`
- `DELETE /api/pods/:id`
- `POST /api/pods/:id/members`
- `DELETE /api/pods/:id/members/:name`
### LiveKit data channel
- Topic: `podman.intervention`
- Core messages:
- `COLLISION`: agent -> PWA; contains `collision` and `intervention`.
- `ACK`: PWA -> agent/API; intervention response.
- `GIT_REPORT`: local git sidecar -> agent; dirty/unpushed ground truth.
- `VOICE_CUE`: text cue/fallback for voice escalation.
### Required environment
```bash
LIVEKIT_URL=
LIVEKIT_API_KEY=
LIVEKIT_API_SECRET=
GEMINI_API_KEY=
GEMINI_VISION_MODEL=
GEMINI_LIVE_MODEL=
GITHUB_TOKEN=
GITHUB_REPO=karti-ai/podman
MONGODB_URI=
VOYAGE_API_KEY=
POD_ROOM=demo-pod
PORT=8787
VITE_BACKEND_URL=http://localhost:8787
VITE_LIVEKIT_URL=
```
Keep all non-`VITE_` secrets server-side.
---
## 7. Critical implementation callouts
### LiveKit
- Screen share is a video track. The backend agent should consume raw screen
frames through `@livekit/rtc-node`.
- The agent must filter screen share, not webcam:
`pub.source === TrackSource.SOURCE_SCREENSHARE`.
- Frontend publishing must tag the track as screen share; otherwise the agent can
miss it.
- Throttle aggressively. Screens can arrive near video frame rate; Gemini should
receive sampled frames only.
- Keep reliable data packets small. Use them for intervention metadata, not
screenshots, large diffs, or research dumps. Treat reliable payloads as
roughly 15 KiB max.
- A historical closed `livekit/node-sdks` issue reported high memory use when
consuming video; run memory checks during agent frame tests and stop if the
loop leaks.
### Gemini
- Use structured output for vision: JSON mime type plus response schema.
- Use low media resolution for ambient screen watching; reserve higher
resolution for debugging or targeted inspection.
- Never expose `GEMINI_API_KEY` to the browser.
- Gemini Live API is still a risk for the first demo path. Use card + Hermes
message first; add browser TTS or pre-generated voice fallback before relying
on Gemini Live for stage audio.
- Keep model IDs in env so preview/availability changes do not require code
changes.
### MongoDB
- Local MongoDB is fine for dev CRUD and memory counts.
- Atlas or Atlas Local is needed for the sponsor-grade Vector Search story.
- Build exact-signature recall first:
normalized file + symbol + engineer pair + event type + outcome.
- Writes from the agent should be best-effort. Mongo hiccups should degrade
memory, not kill live detection.
- Do not store raw screenshots or recordings.
### GitHub
- The repo is public and currently has no issue/PR backlog, so do not make the
plan issue-driven yet.
- GitHub cannot see local dirty files or unpushed commits. That is still a core
product moat.
- Sync PRs should use deterministic GitHub REST/Octokit flows, not browser
automation.
- Verify token scopes and demo repo permissions before stage time.
### DigitalOcean
- Use App Platform as:
- static site for frontend,
- HTTP service for API,
- worker for the LiveKit agent.
- Do not model the agent worker as a health-checked HTTP service.
- Keep a local and recorded fallback even if deployment works; venue network is a
stage risk.
### Hermes
- Treat Hermes as the action and messaging layer, not as a replacement for the
current implemented backend agent until code changes make that real.
- Hermes should choose the least intrusive channel:
card -> message -> voice.
- Hermes can own research summaries, teammate notification, sync PR initiation,
and urgent escalation once those workflows exist.
---
## 8. Build ladder
Do not mark a rung done until it is proven in logs, UI, or a visible external
artifact.
### P0 - make the live loop undeniable
1. **Preserve and reconcile the plan**
- Merge local `docs/PLAN.md` with `origin/main:docs/PLAN.md`.
- Keep both the broad product thesis and concrete server/current-state facts.
- After the docs are safe, merge or rebase the two newer `origin/main` commits
before implementing frontend work.
2. **Browser publish proof**
- Start backend API and frontend.
- Join a real LiveKit room from the browser.
- Confirm the browser publishes a screen-share track with the correct source.
3. **Agent frame proof**
- Start `pnpm --filter @podman/backend dev:agent`.
- Confirm room join, screen-track subscription, frame sampling, and JPEG
encode logs.
- Watch process memory while consuming frames.
4. **Gemini vision proof**
- Send one live sampled IDE frame to Gemini.
- Log parsed JSON with `currentFile`, `currentSymbol`, `activity`,
`hasUnpushedChanges`, and `confidence`.
- Add a confidence/logging gate if noisy frames cause bad reads.
5. **Scheduled git truth** ✅ partial
- `scripts/podman-agent.mjs` polls every 15 s: `git status --short`,
`git diff --stat HEAD`, `git log --oneline -1`, `git branch --show-current`.
- Upserts `changedFiles`, `diffStat`, `recentCommit`, `branch`, `gitUpdatedAt`
to `engineer_states` collection in MongoDB (upsert by `podId::name` key).
- **Still needed:** fuse `engineer_states` git fields into the collision
detector, and/or publish `GIT_REPORT` data channel messages so the agent
worker can incorporate git truth into vision-based decisions.
6. **Intervention card + Hermes notification**
- Publish a real intervention on `podman.intervention`.
- Render it as a small card in the frontend.
- Route a Hermes message to the affected teammate(s) or project channel once
the bridge exists.
7. **Background research recommendation**
- When the team is heading into a poor tool/repo/skill choice or dead end,
produce a recommendation card with short evidence.
- Minimum evidence: why it matters, what to use instead, and who should act.
8. **Learning proof**
- First intervention writes observation/collision/recommendation/outcome
memory.
- Second similar situation retrieves exact prior memory and changes the
message: "I have seen this pattern before."
9. **Urgency routing**
- Default to card.
- Escalate to Hermes message when coordination involves other teammates.
- Escalate to voice only when urgent.
10. **Action artifact**
- If demo uses same-file collision, click the card to open a real draft sync
PR or visible GitHub artifact.
- If demo uses research recommendation, show the accepted recommendation and
memory outcome instead.
11. **Deployment or fallback proof**
- Prove API/static/worker deployment together, or explicitly run local with a
recorded backup.
- Keep backup video on a separate device.
### P1 - polish the money moment
- Add visible live inference captions in the PWA.
- Add a small memory stats panel backed by `/api/memory/stats`.
- Add browser-side TTS or pre-generated voice fallback for urgent interventions.
- Add Hermes notification bridge once the target channel is chosen.
- Improve research cards with compatibility, install effort, docs quality, repo
health, and security/trust signals.
### P2 - sponsor and scale polish
- Implement Voyage embedding + Atlas Vector Search recall.
- Improve policy learning from outcomes.
- Deploy DigitalOcean static site + API service + worker as the submission path.
- Add optional GitHub issue/PR backlog integration after issues/PRs actually
exist.
### Cut if behind
- Webcam grid.
- Mic transcription.
- Full auth/accounts.
- Slack/Linear/Jira integrations unless Hermes requires one immediately.
- Complex dashboards.
- Server-published audio if browser/pre-generated voice proves escalation.
- Vector Search if exact Mongo recall demonstrates the learning beat.
---
## 9. Critical 3-minute demo script
**Rule:** open on one active IDE, not a grid. PodMan is an agent, not a
dashboard.
1. **0:00 - Set the scene**
- One engineer is actively coding in the IDE.
- The presenter says: "This work is not pushed yet. GitHub cannot see it."
2. **0:20 - Show the live signal**
- Show a compact caption: current file, inferred task, git dirty/unpushed
state.
- Show that PodMan is watching consented screen context, not stored
recordings.
3. **0:40 - Introduce the better-tool moment**
- A teammate starts down a weak path: wrong package, dead repo, bad API,
duplicated effort, or risky implementation.
- PodMan has been researching in the background.
4. **1:05 - Money moment**
- PodMan shows a small card:
"This path is likely a dead end. Use X instead; it matches our stack and is
actively maintained."
- The card names the affected teammate and the suggested action.
5. **1:25 - Hermes coordination**
- Hermes notifies the right teammate(s), not the whole room.
- No voice yet unless the situation is urgent.
6. **1:50 - Learning beat**
- A similar issue appears.
- PodMan references memory:
"I have seen this pattern before. Last time the team accepted the X
recommendation."
- Show `/api/memory/stats` or the visible memory indicator.
7. **2:20 - Urgency escalation**
- Raise the severity with a same-file collision, blocking dependency, failing
test, or imminent bad push.
- Hermes escalates to voice only now.
8. **2:40 - Close**
- Show the public repo, deployed/local URL, and memory stats.
- Closing line: "PodMan coordinates work while it is still happening."
### Reliable fallback demo
If the research recommendation is not reliable by stage time, use the same-file
collision fallback:
1. Two engineers open the same visible file.
2. `GIT_REPORT` or vision marks one as dirty/unpushed.
3. Agent publishes `COLLISION` on `podman.intervention`.
4. Frontend renders the card.
5. The card opens a sync PR artifact.
6. A second similar collision retrieves prior memory.
---
## 10. Sponsor strategy
### Gemini
Gemini must be load-bearing for the vision loop:
- live IDE/screen frame -> structured work context,
- optional message/recommendation generation,
- optional Live voice only after card/Hermes routing is stable.
Do not overclaim voice if it is using browser/pre-generated TTS. Say plainly that
it is the reliability fallback.
### LiveKit
LiveKit is the real-time spine:
- engineers join one pod room,
- screen-share tracks carry active work context,
- PodMan joins as a participant,
- data packets carry interventions,
- voice can be added as urgent escalation.
Pitch line: "Unpushed work is invisible to GitHub, so real-time presence is the
only way to coordinate before the push."
### MongoDB + Voyage
MongoDB is the learning proof:
- observations, collisions, recommendations, interventions, and outcomes persist,
- prior memory changes a later intervention,
- exact recall is the MVP,
- Voyage + Atlas Vector Search is the stronger sponsor-grade version after exact
recall works.
### DigitalOcean
DigitalOcean earns its place when:
- frontend runs as a static site,
- API runs as an HTTP service,
- LiveKit agent runs as a worker,
- public URL is shown in submission or demo.
Local fallback is acceptable for stage reliability, but the submission should
include the deployment URL if possible.
---
## 11. Risks and mitigations
| Risk | Mitigation |
| -------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------- |
| Looks like a dashboard | Keep the UI quiet. Hero is card/message/action, not a grid. |
| Looks like a screenshot analyzer | Always show screen signal + git truth + memory + action. |
| Interrupts too much | Default to cards, escalate to Hermes messages, reserve voice for urgency. |
| Overclaims implemented features | Mark voice, Hermes bridge, vectors, adaptive policy, research agent, real sync PR, and DO worker deploy incomplete until proven. |
| Vision misses unpushed state | Use scheduled `GIT_REPORT` for deterministic dirty/unpushed truth. |
| Research recommendation lacks evidence | Show only concise evidence: stack fit, repo/tool health, install effort, docs/trust signal. |
| No visible learning | Build exact Mongo recall before vector search. |
| LiveKit frame loop leaks memory | Monitor agent memory during video consumption; throttle hard. |
| GitHub issue/PR backlog absent | Do not invent issue-driven backlog; repo currently has no issues or PRs. |
| Venue network failure | Rehearse on hotspot and keep recorded backup. |
| DO worker deploy hangs | Deploy agent as worker, not health-checked service. |
---
## 12. Documentation reconciliation tasks
After this plan is accepted, update the supporting docs so they stop conflicting
with this file:
- `README.md`: replace POST-screenshot-first language with LiveKit screen-track
agent architecture and Hermes action-layer wording.
- `docs/idea.md`: broaden from blocker/dependency voice demo to card/message/
urgent-voice coordination plus research and memory.
- `docs/livekit.md`: remove "Hermes does NOT subscribe to engineer screen
tracks"; current architecture uses backend agent screen subscription.
- `docs/gemini.md`: keep structured vision, but mark Gemini Live as P1 and avoid
claiming voice is implemented.
- `docs/mongodb.md`: align collection names with current code
(`observations`, `collisions`, `interventions`, `outcomes`, `pods`) and add
exact-signature recall.
- `docs/digitalocean.md`: split API service and agent worker; do not deploy the
worker as a health-checked HTTP service; mark `infra/app.yaml` legacy or
reconcile it with `infra/.do/app.yaml`.
- `docs/demo-setup.md`: update the script to include better-tool research,
learning recall, Hermes notification, and urgency-based voice.
---
## 13. Acceptance checklist
Before saying PodMan is demo-ready:
- [ ] `pnpm format:check` passes or all failures are documented as unrelated.
- [ ] `pnpm typecheck` passes.
- [ ] Browser joins a real LiveKit room.
- [ ] Browser publishes a screen-share track with the correct source.
- [ ] Backend agent subscribes to the screen-share track.
- [ ] Agent logs at least one parsed Gemini context from a real IDE screen.
- [x] Local git report supplies dirty/unpushed truth on a schedule (`scripts/podman-agent.mjs` — 15 s poll → MongoDB `engineer_states`). Agent fusion still needed.
- [x] Frontend renders a real intervention card.
- [x] Hermes notification path works for teammate messages over the LiveKit data
channel.
- [ ] Voice is heard only for urgent escalation or a fallback is declared.
- [x] Outcome ACK writes to MongoDB and updates intervention status.
- [x] `/api/memory/stats` shows counts increasing.
- [x] Second similar situation uses prior exact memory in the message.
- [ ] Research recommendation card is evidence-backed, or fallback collision demo
is used.
- [x] Sync PR action creates a visible GitHub artifact if used in demo.
- [ ] DigitalOcean deployment or local fallback is rehearsed.
- [ ] Backup recording is ready on a separate device.
---
## 14. Evidence appendix
### Repo and GitHub state
- Public repo: <https://github.com/karti-ai/podman>
- Verified with authenticated `gh` on `2026-06-27`.
- Default branch: `main`.
- No GitHub issues or PRs existed at verification time.
### Hackathon / event
- AI Engineer World's Fair: <https://www.ai.engineer/worldsfair/2026>
- Cerebral Valley hackathon page:
<https://cerebralvalley.ai/e/aiewf-hackathon-2026>
### LiveKit
- Screen share docs: <https://docs.livekit.io/transport/media/screenshare/>
- Data packets docs: <https://docs.livekit.io/transport/data/packets/>
- Node SDK reference: <https://docs.livekit.io/reference/client-sdk-node/>
- Node SDK releases: <https://github.com/livekit/node-sdks/releases>
- Node SDK issue risk: <https://github.com/livekit/node-sdks/issues/444>
### Gemini
- Structured output:
<https://ai.google.dev/gemini-api/docs/structured-output>
- Media resolution: <https://ai.google.dev/gemini-api/docs/media-resolution>
- Live API: <https://ai.google.dev/gemini-api/docs/live-api>
### DigitalOcean
- App Platform app spec:
<https://docs.digitalocean.com/products/app-platform/reference/app-spec/>
### MongoDB
- Vector Search index type:
<https://www.mongodb.com/docs/vector-search/index/vector-search-type/>
- Node driver Atlas Vector Search:
<https://www.mongodb.com/docs/drivers/node/current/atlas-vector-search/>
+6 -3
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@@ -1,8 +1,9 @@
# Continual-Learning Graph Spec
> Owner: graph data + visualization. Status: demo-backed (live `team_model` reads land later).
> Owner: graph data + visualization. Status: demo-backed / active.
> Satisfies the documentation-first gate for the `backend/src/graph/*` and
> `frontend/src/components/GraphView.tsx` files.
> `frontend/src/components/GraphView.tsx` files. This file is the canonical
> graph spec.
## What this is (and is NOT)
@@ -26,7 +27,9 @@ The graph lives in two places, both keyed by `podId`:
{ podId, graph: PodGraph, updatedAt }
```
`GET /api/pods/:podId/graph` returns `team_model.graph`, or a demo graph when none exists yet.
`GET /api/pods/:podId/graph` returns the live materialized graph first, then
`team_model.graph`, then a labeled demo graph when neither live nor seeded
data exists.
2. **Normalized (for traversal):** the same nodes/edges are mirrored into two collections so
the model can be walked with MongoDB `$graphLookup` (the graph-database pattern):
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@@ -1,108 +0,0 @@
# Demo Setup
Pre-stage checklist for the 3-minute live demo. Do this on all 3 laptops before walking on stage.
---
## Before demo day
- [ ] `demo-pod` room created in LiveKit Cloud dashboard
- [ ] Hermes deployed on DO (or confirmed running locally as fallback)
- [ ] MongoDB Atlas cluster running, `MONGODB_URI` set in Hermes env
- [ ] All `.env` vars populated and verified via `GET /health` returning `{ ok: true }`
- [ ] Record a backup video of the full demo working end-to-end
- [ ] Rehearse the demo script 3× with real audio
---
## Laptop setup (all 3 machines)
### Editor settings
- Font size: **18pt or larger** — Gemini Vision must read file names and code
- Single editor window — no split panes, no overlapping terminals
- File tab visible with full file name shown (not truncated)
- Light or dark theme is fine — avoid low-contrast themes
### Browser
- Chrome (best `getDisplayMedia` support)
- PWA tab open and joined to `demo-pod`
- Earbuds / headphones plugged in and tested
- Volume: medium — PodMan voice should be clearly audible but not startle
### Screen layout
- Editor takes 2/3 of screen
- Terminal takes bottom 1/3 (always visible)
- No other windows on top
---
## Demo file setup
Pre-create these files in the demo repo before the demo:
**Alice's machine:**
- Open `auth/middleware.ts` — has visible function stubs
- Terminal shows nothing running initially, then `Server running on :3001` at the right moment
**Bob's machine:**
- Open `frontend/login.tsx` — has visible form component code
- Terminal idle
**Carol's machine:**
- Open `frontend/integration.ts` or similar
- Terminal shows: `curl http://localhost:3001/auth``curl: (7) Failed to connect`
---
## Demo script timing
| Time | Action | Who |
| ----- | ----------------------------------------------- | ----------- |
| 0:00 | All three join `demo-pod` | All |
| 0:05 | PodMan greets by voice | Hermes auto |
| 0:20 | Alice opens `auth/middleware.ts`, starts typing | Alice |
| 0:45 | Bob opens `frontend/login.tsx` | Bob |
| 0:50 | Carol runs `curl` command, sees error | Carol |
| ~1:20 | BLOCKER_DETECTED nudge fires | Hermes auto |
| 1:50 | Alice starts her server (`node server.js`) | Alice |
| ~2:00 | DEPENDENCY_READY nudge fires | Hermes auto |
| 2:20 | Optional: show session 2 ownership warm-start | Presenter |
| 2:45 | Close | Presenter |
---
## Gemini Vision reliability tips
- Keep font at 18pt+ throughout the demo — do not zoom out
- Avoid opening file picker dialogs or overlapping modals during the demo
- File names in editor tabs must be fully visible (not `auth/middle...`)
- If Hermes logs show `confidence < 0.6` frames: bump font size, ensure file tab is clear
- Terminal output must be on a single line — avoid long stack traces during demo
---
## Cooldown note
Hermes has a 3-minute cooldown between nudges per pod. For the demo, if you need to trigger a second event quickly:
Option 1: restart Hermes between the two demo scenarios (resets cooldown state)
Option 2: set `NUDGE_COOLDOWN_MS=0` via env var during demo (add this override to Hermes)
---
## Fallback plan
If any system fails on stage:
1. **Hermes unreachable:** switch to local (`pnpm --filter backend dev`) — PWA auto-falls back to `localhost:8787`
2. **Gemini Vision low confidence:** presenter narrates what PodMan "saw" while playing the backup video
3. **LiveKit audio not working:** play backup video — show the nudge text cards on screen instead
4. **Full system failure:** play the backup recording, narrate the demo live
Always have the backup video on a separate device, not the same laptop running Hermes.
+141
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@@ -0,0 +1,141 @@
# PodMan — 4-Minute Demo Script
**Theme:** Continual Learning. **Hard limit:** 4:00. Practice to land at 3:45.
**The one-line story:** writing code isn't the bottleneck anymore — *coordinating
who's writing what* is. PodMan is a pair programmer for the whole team: it watches
every member's work in real time, gives everyone live status without anyone having
to interrupt anyone, and learns your team's dynamics so it nudges less and helps
more over time.
**The hook to land:** a "quick five-minute question" actually costs ~25 minutes of
lost focus — for two people. PodMan removes the reason to ask. Multiply the saved
recovery time across every teammate, every day, and that is the value.
---
## The script (4:00)
### 0:000:30 — The problem + hook
> "AI made writing code easy. The thing still slowing teams down is coordination
> — checking each other's work, re-planning collisions, and the constant 'what
> are you working on?' A five-minute question really costs both people 25 minutes
> of lost focus. PodMan is a pair programmer for the whole team: it watches
> everyone's work live, so anyone can see another's status without interrupting
> them — and it learns your team as it goes."
*On screen:* the pod view, two teammates joined, screen-share tiles live.
### 0:301:05 — Real-time team awareness (LiveKit + Gemini Vision)
- Point at the two live screen tiles. "These are real screen shares over
**LiveKit**. Our agent subscribes to the tracks and samples frames."
- "Each frame goes to **Gemini Vision**, which returns structured context — file,
symbol, activity — not a chatbot, a perception layer."
- Show the live activity stream filling in (Signals vs Reasoning sections).
- Land the value: "This is the part that replaces 'what are you working on?' —
every teammate's current work is just *visible*, in real time. Nobody had to
ask."
*Built-by-us callout:* `backend/src/vision/gemini.ts`, the LiveKit agent worker.
### 1:051:50 — The catch (detection + first intervention)
- Have alice and bob both edit the **same file** with unpushed changes.
- "Normally nobody notices until merge time. GitHub can't see this — nothing's
pushed. Our detector fuses live screen context with **local git truth** from a
watcher on each laptop."
- A collision card appears: *"alice + bob both on detector.ts (unpushed)."*
- Let the **Gemini TTS** urgent voice fire once over LiveKit: *"alice and bob are
both editing detector.ts. Please sync before pushing."*
- Land the value: "That's a merge conflict and a wasted afternoon caught before it
happened — and neither of them had to be tracking the other."
*Built-by-us callout:* `collision/detector.ts`, `action/hermes.ts`,
`voice/live.ts`.
### 1:502:50 — Continual learning (the theme — the money shot)
This is the differentiator. Two beats, both from pre-seeded memory:
1. **It learned to stay quiet.** Trigger a pattern that was dismissed as a false
alarm earlier. "Last session a teammate marked this kind of alert as not a
real conflict. Watch — PodMan stays silent. No nagging." (No card fires.)
2. **It learned to escalate.** Trigger the real-conflict pattern that was
accepted before. The card now says **"Seen before."** and goes straight to
the spoken urgent cue.
- "The only input was one accept/dismiss tap. No retraining, no labeling. This is
**MongoDB Atlas vector search** recalling similar past events plus a policy
that adapts on the recalled outcome."
- Optional: show `/api/memory/stats` counts climbing — accumulated experience.
*Built-by-us callout:* `memory/vectors.ts` ($vectorSearch), `memory/policy.ts`
(outcome-conditioned gate), `memory/store.ts`.
### 2:503:30 — The five-minute meeting, killed (Gemini Live API)
- Frame it: "Instead of breaking a teammate's focus to ask what they're up to,
you ask PodMan."
- Open the live voice conversation. Ask out loud: *"PodMan, what is everyone
working on, and where is the collision detector implemented?"*
- It answers with **real tool calls**`search_repo`, git history, current
collisions — not guesses.
- "This is the **Gemini Live API**, streaming speech-to-speech over LiveKit, with
custom function tools we wrote so it grounds every answer in the actual repo
and live state. That's the status sync, answered in seconds, with zero recovery
tax on anyone else."
*Built-by-us callout:* `agents/podman-live-conversation/agent.py`.
### 3:303:50 — Stack + close
- "All on **DigitalOcean** — static frontend, API, and agent workers, supervised
by systemd. The ambient score is **Gemini Lyria** generated per pod through the
Interactions API."
- Close: "Engineering ability stopped being the bottleneck — coordination is.
PodMan gives a whole team real-time awareness without the interruptions, catches
collisions before they cost an afternoon, and learns each team's dynamics so it
helps more over time. Saved focus, multiplied across every teammate. That's
continual learning, shipped."
### 3:504:00 — Buffer / Q&A handoff
---
## Sponsor-prize coverage (say each at least once)
| Prize | Spoken moment | Segment |
| --- | --- | --- |
| **Gemini** | Vision perception, Live API agent w/ tools, TTS voice, Lyria score | 0:30, 1:05, 2:50, 3:30 |
| **LiveKit** | "real screen shares over LiveKit", agent subscribes, TTS audio track, live voice | 0:30, 1:05, 3:30 |
| **MongoDB** | "Atlas vector search recalling past events" | 1:50 |
| **DigitalOcean** | "all on DigitalOcean, systemd-supervised workers" | 3:30 |
---
## If something breaks (live recovery)
| Failure | Recovery |
| --- | --- |
| Voice doesn't fire | Cut to the card; say the line aloud; cards are the default path anyway. |
| Live conversation drops | Skip 2:503:30; lean longer on the learning beat. |
| Collision won't trigger | Use the backup recording for that beat; keep narrating. |
| Agent flapping | Pre-checked — but if so, `systemctl restart podman-platform-agent`. |
**Rule:** never debug on stage. Narrate, fall back to recording, keep moving.
---
## Tight timing summary
| Time | Beat |
| --- | --- |
| 0:00 | Problem (coordination cost) + hook + original-work line |
| 0:30 | Real-time team awareness — LiveKit + Gemini Vision |
| 1:05 | The catch — collision caught before merge |
| 1:50 | **Continual learning — quiet + escalate** |
| 2:50 | The five-minute meeting, killed — Gemini Live conversation |
| 3:30 | DigitalOcean + Lyria + close |
| 3:50 | Buffer |
+18 -4
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@@ -58,6 +58,13 @@ The mirror at `infra/.do/app.yaml` is kept identical for DO UI/import workflows.
- No HTTP route and no HTTP health check
- Default room: `POD_ROOM=demo-pod`
### Worker: live conversation agent (Python)
- Source: `agents/podman-live-conversation/`
- The Gemini Live voice agent (`gemini-3.1-flash-live-preview`), run with `uv`.
- On the droplet it runs as `podman-live-conversation-agent.service`
(`infra/systemd/`). It is separate from the Node services and the TS agent.
---
## Required Runtime Environment
@@ -66,10 +73,15 @@ The mirror at `infra/.do/app.yaml` is kept identical for DO UI/import workflows.
LIVEKIT_URL=wss://your-livekit-server.livekit.cloud
LIVEKIT_API_KEY=...
LIVEKIT_API_SECRET=...
LIVEKIT_CONVERSATION_AGENT_NAME=podman-live-conversation
GEMINI_API_KEY=...
GEMINI_API_KEY=... # GOOGLE_API_KEY also accepted
GEMINI_VISION_MODEL=gemini-2.0-flash
GEMINI_LIVE_MODEL=gemini-3.1-flash-tts-preview
GEMINI_LIVE_MODEL=gemini-3.1-flash-tts-preview # TTS voice
GEMINI_CONVERSATION_MODEL=gemini-3.1-flash-live-preview
GEMINI_EMBEDDING_MODEL=gemini-embedding-001
GEMINI_TTS_VOICE=Charon
# GEMINI_MUSIC_MODEL=lyria-3-clip-preview # optional override
GITHUB_TOKEN=...
GITHUB_REPO=karti-ai/podman
@@ -82,8 +94,10 @@ PORT=8787
POD_ROOM=demo-pod
```
`VOYAGE_API_KEY` is optional for local/demo fallback. Without it, Mongo exact
signature recall still works; Atlas Vector Search recall is skipped.
`VOYAGE_API_KEY` is optional. Without it, Gemini embeddings provide vector
recall; without any embedding provider, recall degrades to exact signature
matching. The Lyria background score uses the Gemini Interactions API and the
same `GEMINI_API_KEY`.
---
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# Gemini Integration Spec
PodMan uses Gemini for two distinct jobs: **vision** (understanding screens) and **voice** (speaking nudges).
Status: active / matches code.
PodMan uses Gemini for five jobs, all through the `@google/genai` SDK
(`GoogleGenAI`) with a single `GEMINI_API_KEY` (`GOOGLE_API_KEY` /
`GOOGLE_GENERATIVE_AI_API_KEY` also accepted):
1. **Vision** — turn screen frames into structured work context.
2. **Embeddings** — vector recall over past coordination events.
3. **TTS voice** — spoken urgent escalations over LiveKit.
4. **Live conversation** — a real-time voice agent teammates talk to.
5. **GenMedia (Lyria)** — a per-pod background score.
Collision detection and intervention text are **deterministic in code**, not
Gemini calls. PodMan does not ask Gemini "is this a conflict?" — that is decided
by `backend/src/collision/detector.ts` from fused vision + git truth. This is a
deliberate reliability choice for the live demo.
---
## 1. Vision — Screen Understanding
## 1. Vision — screen understanding
**Model:** `gemini-2.0-flash` (fast, cheap, strong multimodal)
**Model:** `GEMINI_VISION_MODEL` (default `gemini-2.0-flash`)
**Code:** `backend/src/vision/gemini.ts``analyzeFrame()`
**Trigger:** every 30s per active engineer, when Hermes receives a `POST /ingest` frame
**Trigger:** the LiveKit agent samples a JPEG frame from each engineer's
screen-share track (not an HTTP upload — frames arrive over LiveKit).
**Input:** base64-encoded JPEG, max 1280×720, ~5080KB after compression
**Input:** a single base64 JPEG, sampled at low media resolution.
**Prompt:**
```
You are analyzing a software engineer's screen during a coding session.
Extract the following JSON. If you cannot determine a field with confidence above 0.7, set it to null.
**Output:** structured JSON via `responseJsonSchema` (no markdown parsing):
```ts
{
"currentFile": "string | null", // active file visible in editor tab or title bar
"inferredTask": "string | null", // 1 sentence: what the engineer appears to be doing
"terminalVisible": true | false, // is a terminal or CLI panel visible
"recentTerminalOutput": "string | null", // last meaningful line of terminal output if visible
"confidence": 0.01.0 // your overall confidence in this extraction
currentFile: string, // open file path, e.g. src/auth/session.ts
currentSymbol: string, // function/class under the cursor
activity: string, // editing | reading | debugging | terminal | PR review
hasUnpushedChanges: boolean, // dirty git gutter / modified markers visible
confidence: number // 0..1
}
Respond with valid JSON only. No explanation. No markdown.
```
**Confidence gate:** if `confidence < 0.6`, Hermes discards the frame — no state update, no event detection triggered.
**Latency/cost levers (in code):**
**Rate limit:** 1 call per engineer per 30s. With 3 engineers = 6 calls/min ≈ $0.002/min at Flash pricing.
- `thinkingConfig: { thinkingBudget: 0 }` — minimal thinking for the ambient loop.
- `mediaResolution: MEDIA_RESOLUTION_LOW` — smaller image tokens.
- Missing `confidence` defaults to `0.5`.
**Demo setup requirement:** editors must have large font (18pt+), single window, file name clearly visible in tab. This is the primary reliability lever.
**Demo reliability:** large editor font, single window, visible file tab. This is
the primary lever for clean reads.
---
## 2. Event Detection — Coordination Awareness
## 2. Embeddings — semantic recall
**Model:** `gemini-2.0-flash` (text only, fast)
**Model:** `GEMINI_EMBEDDING_MODEL` (default `gemini-embedding-001`, 768 dims)
**Code:** `backend/src/memory/vectors.ts`
**Trigger:** after every successful state write to MongoDB, Hermes runs event detection over all active engineer contexts.
Each collision is embedded into a short memory text (`file`, `symbol`,
`engineers`, `severity`, unpushed flag) and stored on the `collisions` document.
On a new collision PodMan embeds the query and runs MongoDB Atlas `$vectorSearch`
(index `collision_embedding`) to recall similar past events and their outcomes.
**Input:** JSON snapshot of all engineers' current states + ownership map
**Prompt:**
```
You are a team coordination agent. Below is the current state of each engineer on the team.
Engineer states:
{{engineerStates}}
Ownership map (who owns which files):
{{ownershipMap}}
Detect if any of these coordination events are occurring:
- DEPENDENCY_READY: an engineer who was blocked or waiting now has what they need because another engineer completed relevant work
- BLOCKER_DETECTED: an engineer appears stuck (same file, error in terminal, no progress) and another teammate could help
- DUPLICATE_WORK: two or more engineers are working on the same file simultaneously
If an event is detected, respond with:
{
"event": "DEPENDENCY_READY" | "BLOCKER_DETECTED" | "DUPLICATE_WORK" | null,
"involvedEngineers": ["engineerId", ...],
"file": "string | null",
"reason": "1 sentence explanation"
}
If no event, respond with { "event": null }.
Respond with valid JSON only.
```
**Provider order:** Voyage (`VOYAGE_API_KEY`, `voyage-4-lite`) is tried first when
present; Gemini embeddings are the fallback. Without either, recall degrades to
exact signature/file matching — the demo still works.
---
## 3. Nudge Generation — Voice Message
## 3. TTS voice — urgent escalation over LiveKit
**Model:** `gemini-2.0-flash` (text only)
**Model:** `GEMINI_LIVE_MODEL` (default `gemini-3.1-flash-tts-preview`)
**Default voice:** `GEMINI_TTS_VOICE` (default `Charon`)
**Code:** `backend/src/voice/live.ts``speak()` / `speakInRoom()`
**Trigger:** when event detection returns a non-null event
**Input:** event type + engineer names + file + reason
**Prompt:**
```
You are PodMan, a friendly AI teammate. Generate a short spoken message (12 sentences max) to notify the team about this coordination event.
Event: {{eventType}}
Engineers involved: {{engineerNames}}
File: {{file}}
Context: {{reason}}
Rules:
- Use first names only
- Be direct and specific
- Do not use filler words
- Sound natural when spoken aloud
- Do not start with "Hey" or "Attention"
Respond with the message text only.
```
**Example output:**
> "Carol — Alice just got the auth endpoint running. You're clear to integrate."
Flow: a short, natural voice line is generated for a critical collision, returned
as audio, and published as a LiveKit microphone-source audio track. The track is
held for the audio duration plus tail/hold so browsers do not cut playout short.
Browser audio must be unlocked by a user gesture first. The frontend always
renders the `VOICE_CUE` text as a fallback. See `docs/livekit.md` for delivery.
---
## 4. Voice Output — Gemini TTS via LiveKit
## 4. Live conversation — real-time voice agent
**Model:** `gemini-3.1-flash-tts-preview`
**Model:** `GEMINI_CONVERSATION_MODEL` (default `gemini-3.1-flash-live-preview`)
**Code:** `agents/podman-live-conversation/agent.py` (Python LiveKit Agents,
`google.realtime.RealtimeModel`)
**Integration:** Hermes generates Gemini TTS audio and publishes it as a LiveKit audio track. The code still preserves a Gemini Live path for future available Live models.
A teammate can start a live, streaming speech-to-speech session with PodMan. The
agent answers using **function tools** rather than guessing, including:
**Flow:**
- `get_active_pod_context`, `get_recent_changes`, `search_team_memory`
- `search_repo`, `repo_recent_commits`, `repo_find_commits` (repo + git history)
- `record_conversation_note`
- `delegate_to_hermes`, `abort_active_hermes_job` (hands work to the async Hermes
job runner — see `docs/hermes.md`)
1. Nudge message text generated (step 3)
2. Hermes passes text to Gemini Live via LiveKit Agents
3. Gemini Live streams audio back in real-time
4. LiveKit publishes audio into the pod room
5. All participants hear it through their audio output
Started/stopped via `POST /api/pods/:id/live-conversation/start` and `.../stop`.
**Why Gemini Live (not plain TTS):**
---
- Streams audio directly — no intermediate WAV file conversion
- Latency ~300500ms from text to first audio packet
- Natural-sounding voice
- Strong prize story: Gemini Live 2.5 is the headline model
## 5. GenMedia — Lyria background score
**Model:** `lyria-3-clip-preview` (override with `GEMINI_MUSIC_MODEL`)
**Endpoint:** Gemini **Interactions API** (`/v1beta/interactions`)
**Code:** `backend/src/voice/music.ts`
A pod-specific ~30s clip is generated through the Interactions API, cached in
MongoDB, and served via `GET /api/pods/:id/music` to play as ambient room audio.
---
## Cooldown
Per-pod cooldown of **3 minutes** between nudges. Prevents spam if multiple events fire simultaneously. Implemented in Hermes, not in Gemini.
Per-pod cooldown (`NUDGE_COOLDOWN_MS`, default 180000 ms / 3 min) gates repeated
interventions. Implemented in `backend/src/memory/policy.ts`, not in Gemini.
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# Hermes Spec
Status: active / matches code.
"Hermes" is PodMan's **action layer** — the part that turns a detected problem
into something a teammate sees, hears, or gets done. It spans three things:
1. **Interventions** — cards, messages, and urgent voice in the pod room.
2. **Async jobs** — longer tasks delegated from the live conversation agent.
3. **Ops watchdog** — keeps the production services healthy.
The LiveKit identity for the main agent is `podman-hermes`.
---
## 1. Interventions
**Code:** `backend/src/agent/podman.ts`, `backend/src/action/hermes.ts`,
`backend/src/voice/live.ts`.
When the agent detects a collision, it runs the learning loop (recall → policy
gate; see `docs/cont_learning.md`) and then publishes the **least intrusive**
intervention that fits:
- **Card / message** — a data-channel packet on the `podman.intervention` topic
(`publishHermesIntervention` / `publishHermesMessage`). Default path.
- **Urgent voice** — only for `critical` collisions. `speak()` generates Gemini
TTS audio and publishes it as a LiveKit audio track.
Intervention text is short and deterministic (template, not an LLM call):
`Conflict: alice + bob both on detector.ts (unpushed). Seen before.` The spoken
line is phrased for natural TTS prosody. Each intervention is persisted to the
`interventions` collection; the teammate's accept/dismiss returns via
`POST /api/outcome`.
A per-pod cooldown (`NUDGE_COOLDOWN_MS`, default 3 min) and a single-shot
"active conflict" guard prevent repeat nagging; a conflict re-arms once it
resolves.
---
## 2. Async Hermes jobs
**Code:** `backend/src/hermes/jobs.ts`. **Storage:** `hermes_jobs` +
`hermes_job_events` (see `docs/mongodb.md`).
The live conversation agent can hand a longer task to Hermes via its
`delegate_to_hermes` tool. Lifecycle:
```
queued → running → (waiting_for_confirmation) → completed | aborted | failed
```
`createHermesJob()` records the job, emits an `accepted` event, and kicks off
`runHermesJob()` in the background. The runner gathers context and runs scoped,
read-mostly steps based on the prompt and success criteria:
- always: `git status --short --branch`, `git diff --stat`
- if the ask mentions GitHub: a repo reachability check via the GitHub API
- if it mentions Mongo/memory/telemetry: collection counts
- if it mentions build/test/typecheck/broken: `pnpm typecheck`
**Confirmation gate:** if `riskLevel === 'deploy_allowed'` and
`requiresConfirmation`, the job parks at `waiting_for_confirmation` instead of
acting. **Abort:** `abortHermesJob()` signals the runner's `AbortController`.
Every step appends a `hermes_job_event` (redacted + truncated), which is both
stored and published live to the room as a `HERMES_JOB_EVENT` data message from a
short-lived `podman-hermes-job-*` identity. The conversation UI streams these via
`GET /api/.../hermes-job/events/stream`.
**Endpoints:** `POST /api/internal/hermes/jobs`,
`GET /api/internal/hermes/jobs/:jobId`, `.../abort`, `.../events`,
`.../events/stream`, plus the pod-scoped `.../live-conversation/:sessionId/hermes-job`.
---
## 3. Ops watchdog
**Code:** `scripts/hermes-watchdog.mjs`, `scripts/hermes-sync-deploy.mjs`,
`scripts/hermes-notify.mjs`. **Detail:** `docs/digitalocean.md`.
systemd supervises the app processes; Hermes owns the loop around them:
- `pnpm hermes:watchdog` checks systemd services, public routes, `/health`,
`/api/pods`, and `pnpm deploy:doctor`. Failures trigger targeted restarts.
- `podman-hermes-watchdog.timer` runs it every 5 minutes.
- `podman-hermes-sync-deploy.timer` polls `origin/main` every 2 minutes and, on a
clean tree, fast-forwards, builds, publishes `frontend/dist`, restarts
API/agent/Caddy, and runs the strict watchdog.
- Reports go to `/var/log/podman/hermes-watchdog-latest.json`; set
`PODMAN_ALERT_WEBHOOK_URL` to forward failures to Discord/Slack/webhook.
---
## What Hermes is NOT
- Not an autonomous code-writing agent. Job steps are scoped, read-mostly checks;
deploy-level actions require explicit confirmation.
- Not a second collision detector. Detection is deterministic
(`collision/detector.ts`); Hermes only acts on the result.
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# PodMan — Idea
## One-line value prop
PodMan is a real-time AI team coordination agent that watches consented work signals, maintains live project memory, and proactively notifies collaborators when dependencies, blockers, or handoffs emerge — before anyone has to ask.
---
## Problem
Teams working on the same project lose time because progress is fragmented across people, editors, terminals, and half-finished messages. Coordination gaps — a completed endpoint, a resolved blocker, two engineers duplicating work — are discovered too late, causing idle time, broken handoffs, and missed dependencies.
Slack doesn't help. Stand-ups are too slow. GitHub only knows pushed state.
---
## Solution
PodMan is an ambient AI agent that:
1. Watches each engineer's screen via periodic snapshots (consented, browser-native)
2. Extracts structured context using Gemini Vision — current file, inferred task, terminal state
3. Maintains a shared live model of the team in MongoDB Atlas — who is doing what, who owns which files
4. Detects coordination events: dependency ready, blocker detected, duplicate work
5. Speaks proactively into the team's LiveKit room — engineers hear PodMan through their earbuds without leaving their editor
**The AI's job is not to chat. It is to notice what teammates miss and say so, exactly when it matters.**
---
## Target user
Small software teams: hackathon squads, startup engineering teams, student dev teams collaborating in real time on a shared codebase.
---
## Core AI job
- Maintain per-person live context (file, task, terminal)
- Infer shared project state (who owns what, what's blocked, what's ready)
- Detect 3 coordination event types:
- `DEPENDENCY_READY` — engineer A was waiting on work engineer B just completed
- `BLOCKER_DETECTED` — engineer appears stuck; another teammate can unblock
- `DUPLICATE_WORK` — 2+ engineers working on the same file simultaneously
- Generate a 12 sentence proactive voice nudge
- Deliver it into the LiveKit room via Gemini Live 2.5
---
## How it fits the Continual Learning track
PodMan builds an **ownership map** in MongoDB that persists across sessions:
- Session 1: PodMan needs 35 minutes of screen observations to infer who owns what
- Session 2+: PodMan already knows. First nudge fires in under 30 seconds.
The system gets demonstrably more useful the more it is used, with no user configuration required. That is the track definition met exactly.
---
## Architecture (one paragraph)
Each engineer opens a browser PWA on their laptop. The PWA captures a screen frame every 30 seconds via `getDisplayMedia` and POSTs it to Hermes, the server-side orchestrator running on DigitalOcean. Hermes calls Gemini Vision to extract structured context, writes it to MongoDB Atlas, updates the ownership map, and runs event detection across all active engineers. When a coordination event fires, Hermes generates a short spoken message and publishes it as audio into the team's LiveKit room via Gemini Live 2.5. Engineers hear PodMan through their earbuds. No Slack. No tab switching. No interruption to the editor flow.
---
## Demo wow moment
> Alice is building the auth endpoint. Carol is visibly blocked — her terminal shows `connection refused`. PodMan detects the blocker and says aloud: "Carol, looks like you're waiting on auth. Alice is actively building it — hang tight."
>
> Two minutes later, Alice's server starts. PodMan says: "Carol, Bob — Alice just got the auth endpoint running. You're clear to integrate."
>
> Nobody asked. Nobody pinged anyone on Slack. PodMan just knew.
---
## What PodMan is NOT
- Not a chat interface
- Not a dashboard product
- Not raw surveillance — engineers consent by joining the room and sharing their screen
- Not a task manager
- Not a GitHub integration (v1)
---
## Prize alignment
| Prize | How PodMan earns it |
| --------------------- | ----------------------------------------------------------------------------------------------------- |
| Best Gemini 3.5 / 2.5 | Gemini Vision for screen understanding + Gemini Live 2.5 for voice output |
| Best LiveKit | LiveKit is the real-time backbone for room presence and voice delivery — load-bearing, not decorative |
| Best DigitalOcean | Hermes deployed on DigitalOcean App Platform; MongoDB Atlas on DO-adjacent infrastructure |
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# LiveKit Integration Spec
LiveKit is the real-time backbone for PodMan. It handles room presence and voice delivery. It is load-bearing — not decorative.
Status: active / matches code.
LiveKit is the real-time backbone for PodMan. It carries the **screen-share
perception input**, the **intervention data channel**, and **all room audio**
(Gemini TTS escalations, the Lyria score, and the live conversation agent). It is
load-bearing, not decorative.
---
## Room structure
- One LiveKit room per project pod: `room = podId`
- Engineers join as named participants (e.g. `alice`, `bob`)
- Hermes joins as `podman-hermes`
- All participants stay connected for the duration of the session
- One LiveKit room per pod: `room = podId`.
- Engineers join as named participants (e.g. `alice`, `bob`).
- PodMan runs **multiple agent identities** in/around a room:
- `podman-hermes` — the main vision + intervention agent (`@livekit/rtc-node`).
- `podman-live-conversation` — the Gemini Live voice agent (Python).
- short-lived `podman-hermes-job-*` publishers for async job events.
- A fixed identity matters: a second `podman-hermes` evicts the first and they
flap, dropping interventions. systemd keeps exactly one alive in production.
---
@@ -17,88 +26,79 @@ LiveKit is the real-time backbone for PodMan. It handles room presence and voice
**Joining:**
1. PWA calls `POST /pods/:podId/token` → receives `{ token, url }`
2. LiveKit client connects to the room with the token
3. PWA publishes screen track via `getDisplayMedia`
4. PWA sets mic enabled for ambient presence
1. PWA calls `POST /api/token` with `{ podId, identity }` `{ token, url }`.
2. LiveKit client connects with the token.
3. PWA publishes the screen track via `getDisplayMedia`.
4. PWA enables mic for ambient presence (used by the conversation agent).
**Receiving:**
- LiveKit client automatically receives Hermes audio track
- No special subscription needed — LiveKit delivers audio to all participants
- PWA also listens for data channel messages from Hermes for UI card updates
- Subscribes to remote agent audio tracks (TTS, Lyria, conversation) and attaches
them to a hidden audio sink.
- Browser autoplay restrictions apply: the PWA calls `room.startAudio()` from a
user gesture (`Enable audio`, `Test PodMan voice`, `Share screen`, first room
click).
- Listens on the data channel for cards and `VOICE_CUE` fallback text.
**Data channel listener (PWA):**
```ts
room.on(RoomEvent.DataReceived, (payload, participant) => {
if (participant?.identity !== 'podman-hermes') return;
const nudge = JSON.parse(new TextDecoder().decode(payload));
// nudge: { type, message, involvedEngineers, file, sentAt }
appendNudgeToFeed(nudge);
if (!participant?.identity.startsWith('podman-')) return;
const msg = JSON.parse(new TextDecoder().decode(payload));
// msg.type: COLLISION | ACK | GIT_REPORT | VOICE_CUE | HERMES_JOB_EVENT
appendInterventionToFeed(msg);
});
```
All data messages share the `podman.intervention` topic (`DATA_TOPIC`).
---
## Hermes side (LiveKit Agent)
## Agent side (`podman-hermes`)
**Framework:** LiveKit Agents (Node.js)
**Framework:** `@livekit/rtc-node`. **Code:** `backend/src/agent/podman.ts`,
`backend/src/action/hermes.ts`, `backend/src/voice/live.ts`.
**Startup:**
1. Subscribes to engineers' screen-share tracks and samples frames for Gemini
Vision.
2. Detects collisions, gates them through the learning policy, then publishes a
card/message on the data channel.
3. For critical collisions, generates Gemini TTS audio and publishes it as a
microphone-source audio track, held for the audio duration plus a tail/hold
window so subscribers finish playout. Voice publishing logs frame count,
estimated duration, queued playout, and hold time for diagnostics.
1. Hermes mints its own token via the same `createPodToken` function with `identity: 'podman-hermes'`
2. Connects to the configured room as `podman-hermes`
3. Registers as a LiveKit Agent with Gemini Live 2.5 as voice provider
---
**Voice delivery:**
## Live conversation agent (`podman-live-conversation`)
1. Nudge message text is ready (from Gemini text generation)
2. Hermes passes text to Gemini Live 2.5 via LiveKit Agents voice pipeline
3. Audio streams into the room in real-time
4. All participants hear it
**Framework:** LiveKit Agents for Python (`AgentSession`, `function_tool`,
`google.realtime.RealtimeModel`). **Code:**
`agents/podman-live-conversation/agent.py`.
**Data channel message (sent alongside audio):**
```ts
const nudge = {
type: 'DEPENDENCY_READY' | 'BLOCKER_DETECTED' | 'DUPLICATE_WORK',
message: string, // the spoken text
involvedEngineers: string[],
file: string | null,
sentAt: string, // ISO timestamp
};
room.localParticipant.publishData(
new TextEncoder().encode(JSON.stringify(nudge)),
{ reliable: true }
);
```
Joins the pod room on demand (`POST /api/pods/:id/live-conversation/start`),
streams speech-to-speech with Gemini Live, and answers using repo/git/memory
function tools. It can delegate long tasks to the async Hermes job runner and
narrate progress. See `docs/hermes.md`.
---
## Token endpoint
Already implemented at `POST /api/token`.
Hermes uses the same endpoint. Grants:
`POST /api/token` mints room tokens for engineers and agents alike. Grants:
- `roomJoin: true`
- `canPublish: true` (for audio track)
- `canPublishData: true` (for data channel)
- `canPublish: true` (audio + screen)
- `canPublishData: true` (data channel)
- `canSubscribe: true`
---
## Gemini voice model
- Model ID: `gemini-3.1-flash-tts-preview`
- Hermes generates Gemini TTS audio and publishes it as a LiveKit audio track.
- The backend keeps a Gemini Live path for future model availability, but the verified deployment path uses TTS.
Short-lived job publishers use `canSubscribe: false`.
---
## What LiveKit does NOT do in PodMan
- No video tracks from Hermes
- No mic transcription (not needed for v1)
- No SFU mixing — standard room behavior is sufficient
- No video tracks published by agents.
- No mic transcription outside the live conversation agent.
- No custom SFU mixing — standard room behavior is sufficient.
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# MongoDB Atlas Integration Spec
MongoDB Atlas is PodMan's shared memory. It stores live engineer state, the ownership map that enables continual learning, coordination events, and nudge history.
Status: demo-backed / active
MongoDB Atlas is PodMan's shared memory. It stores live work observations,
collision predictions (with vector embeddings for recall), interventions,
outcomes, latest engineer state, the materialized Team memory graph, and async
Hermes job runs.
See also:
- [`docs/cont_learning.md`](cont_learning.md) for outcome-backed team memory,
graph materialization, and `$graphLookup` traversal.
---
## Collections
## Current Collections
### `engineer_states`
Latest context per engineer. Two writers, one collection — vision pipeline upserts vision fields, git watcher script upserts git fields independently. Hermes reads the merged document for event detection.
Latest context per engineer. The local git watcher writes git fields; the vision
pipeline may write screen-derived fields. Each writer updates only its own
fields so MongoDB upserts merge cleanly.
```ts
{
_id: string, // engineerId (stable across sessions)
podId: string,
name: string, // display name
Key fields:
// --- Vision fields (written by Hermes via POST /ingest) ---
currentFile: string | null, // active file inferred from screen
inferredTask: string | null, // what engineer appears to be doing
terminalVisible: boolean,
recentTerminalOutput: string | null,
confidence: number, // Gemini Vision confidence (01)
visionUpdatedAt: Date,
- `podId`
- `name`
- `currentFile`
- `inferredTask`
- `confidence`
- `changedFiles`
- `diffStat`
- `recentCommit`
- `branch`
- `visionUpdatedAt`
- `gitUpdatedAt`
- `updatedAt`
// --- Git fields (written directly by scripts/podman-agent.mjs) ---
changedFiles: string[], // files with uncommitted changes (git status)
diffStat: string | null, // e.g. "auth/middleware.ts | 24 +++++"
recentCommit: string | null, // most recent commit message
branch: string | null, // current branch name
gitUpdatedAt: Date,
Primary use: deterministic dirty/unpushed truth for collision detection and
graph discovery.
// --- Shared ---
updatedAt: Date // most recent write from either source
}
```
### `observations`
**Index:** `{ podId: 1, updatedAt: -1 }`
Structured perception events from consented screen context and agent inference.
**Two writers, no conflict:** vision upsert uses `$set` on vision fields only; git upsert uses `$set` on git fields only. MongoDB upsert semantics merge them cleanly.
Key fields:
**Usage:** Hermes reads all documents for a given `podId` after each update to run event detection. Both vision and git context are available in the same document — `changedFiles` provides ground truth, `currentFile` provides screen context.
- `podId`
- `engineerId`
- `currentFile`
- `symbol`
- `activity`
- `confidence`
- `observedAt`
Primary use: observe/store proof and active editing edges in the Team memory
graph.
### `collisions`
Predicted coordination risks, with memory enrichment for recall.
Key fields:
- `id`
- `podId`
- `file`
- `symbol`
- `engineers`
- `severity`
- `memorySignature`
- `githubState`
- `detectedAt`
- `memoryText` — short text embedded for recall
- `embedding` — vector (Voyage `voyage-4-lite` or Gemini `gemini-embedding-001`)
- `embeddingProvider``voyage` | `gemini`
Vector index `collision_embedding` (Atlas Vector Search) powers `$vectorSearch`
recall in `backend/src/memory/vectors.ts`. When Atlas vector search is
unavailable, recall falls back to app-side cosine, then exact signature/file
matching.
Primary use: collision cards, vector + signature recall, and graph risk paths.
### `interventions`
Actions PodMan sent or suggested.
Key fields:
- `id`
- `podId`
- `collisionId`
- `kind`
- `message`
- `suggestedAction`
- `status`
- `createdAt`
Primary use: closing the loop from prediction to a visible card, Hermes message,
or urgent voice cue.
### `outcomes`
Human or verifier supervision recorded through `POST /api/outcome`.
Key fields:
- `podId`
- `interventionId`
- `collisionId`
- `accepted`
- `wasRealCollision`
- `recordedAt`
Primary use: accepted and dismissed outcomes drive exact recall, suppression,
and learned graph paths.
### `team_model`
Durable per-pod summary memory.
Key fields:
- `podId`
- `ownership`
- `hotspots`
- `graph`
- `updatedAt`
Primary use: stable Team memory, including seeded `graph` snapshots used after
live materialization and before demo fallback.
### `graph_nodes` and `graph_edges`
Normalized mirror of the Team memory graph for MongoDB traversal.
Indexes:
- `graph_nodes`: `{ podId: 1, id: 1 }` unique
- `graph_edges`: `{ podId: 1, source: 1 }`
Primary use: `GET /api/pods/:podId/graph/reach/:id` with `$graphLookup`.
### `hermes_jobs` and `hermes_job_events`
Async Hermes task runs delegated from the live conversation agent (see
`docs/hermes.md`).
- `hermes_jobs` — one doc per job (`id` unique; `{ sessionId, status, updatedAt }`
index). Fields: `id`, `podId`, `sessionId`, `prompt`, `contextScope`,
`riskLevel`, `successCriteria`, `status`, `finalSummary`, timestamps.
- `hermes_job_events` — append-only step log (`{ jobId, createdAt }` index):
`accepted`, `heartbeat`, `step_started`, `step_output`, `needs_confirmation`,
`step_completed`, `completed`, `aborted`, `failed`. Output is redacted +
truncated before storage and mirrored to the room over LiveKit.
Primary use: durable, replayable record of what Hermes did, streamed live to the
conversation UI.
---
### `ownership_map`
## Graph Truth Order
Tracks who works on which files. Built up over the session. **Persists across sessions** — this is the continual learning artifact.
`GET /api/pods/:podId/graph` follows this order:
```ts
{
_id: string, // `${podId}:${file}`
podId: string,
file: string,
primaryOwner: string, // engineerId with most recent activity on this file
contributors: string[], // all engineerIds observed on this file
observationCount: number, // total frames where this file was seen
lastSeenAt: Date
}
```
1. Live graph from real collections.
2. Seeded graph from `team_model.graph` and mirrored graph records.
3. Demo fallback graph for stage safety.
**Index:** `{ podId: 1, file: 1 }` (unique)
**Upsert logic:**
- On each context update where `currentFile` is non-null:
- Increment `observationCount`
- Update `primaryOwner` to the engineer with the most recent `lastSeenAt` on this file
- Add engineerId to `contributors` if not present
- Update `lastSeenAt`
**Continual learning:** Hermes loads this collection on startup for the pod. If history exists, it pre-populates the in-memory ownership cache before the first frame arrives.
Seeded and fallback graphs are acceptable for demos only when labeled honestly.
---
### `events`
## Demo Proof Path
Every coordination event detected by Hermes.
```ts
{
_id: ObjectId,
podId: string,
type: 'DEPENDENCY_READY' | 'BLOCKER_DETECTED' | 'DUPLICATE_WORK',
involvedEngineers: string[],
file: string | null,
reason: string, // 1-sentence explanation from Gemini
nudgeSent: boolean, // false if suppressed by cooldown
detectedAt: Date
}
```
**Index:** `{ podId: 1, detectedAt: -1 }`
Observe screen/git state -> detect collision -> send intervention -> accept or
dismiss outcome -> recall similar event -> show changed graph or changed
behavior.
---
### `nudges`
## What MongoDB Does Not Store
Every voice nudge sent to the room.
```ts
{
_id: ObjectId,
podId: string,
eventId: ObjectId, // ref to events collection
targetEngineers: string[],
message: string, // the spoken text
sentAt: Date
}
```
**Index:** `{ podId: 1, sentAt: -1 }`
**Cooldown check:** before sending a nudge, Hermes queries this collection for any nudge in the last 3 minutes for the same `podId`. If found, suppresses the new nudge and marks the event as `nudgeSent: false`.
---
## Hermes startup sequence
```
1. Connect to Atlas using MONGODB_URI
2. Load ownership_map for this podId
3. Build in-memory cache: Map<file, { primaryOwner, contributors }>
4. Begin accepting /ingest requests
```
---
## Atlas configuration
- **Cluster tier:** M0 (free) is sufficient for hackathon scale
- **Region:** same as DigitalOcean deployment (e.g. NYC1)
- **Auth:** connection string in `MONGODB_URI` env var
- **Collections created automatically** on first write (no schema migration needed)
---
## What MongoDB does NOT store
- Raw screenshot frames (too large — frames are processed in-memory by Hermes and discarded)
- Full Gemini response objects (only extracted fields are stored)
- Session recordings
- Raw screenshot frames.
- Screen recordings.
- Secrets or credentials.
- Full terminal logs.
- Full Gemini response objects beyond extracted fields needed for memory.
@@ -1,135 +0,0 @@
---
name: podman-design
description: Full system design for PodMan — real-time AI team coordination agent using Gemini Vision, Gemini Live 2.5, LiveKit, and MongoDB Atlas
metadata:
type: project
---
# PodMan — System Design
## Concept
PodMan is a real-time AI team coordination agent for software teams. Engineers join a LiveKit room with earbuds. Each engineer's browser PWA captures their screen every 30s and sends it to Hermes (server-side orchestrator on DigitalOcean). Hermes uses Gemini Vision to extract structured context per engineer, detects coordination events, and speaks proactive nudges into the room via Gemini Live 2.5 through LiveKit. MongoDB Atlas stores team state and an ownership map that persists across sessions.
**Track:** Continual Learning — the ownership map makes PodMan faster and smarter each session with no user configuration.
---
## Architecture
```
┌──────────────── Engineer laptop (Browser PWA) ──────────────────┐
│ getDisplayMedia → frame every 30s │
│ HTTP POST /ingest → { screenshot, engineerId, podId } │
│ LiveKit room joined → receives voice audio from Hermes │
│ Earbuds: hears PodMan proactive nudges │
└──────────────────────────────────────────────────────────────────┘
│ POST /ingest
┌────────────────── HERMES (DigitalOcean) ─────────────────────────┐
│ 1. Receive frame → Gemini Vision → EngineerContext │
│ 2. Write context to MongoDB (per-user state) │
│ 3. Update ownership map (file → engineer) │
│ 4. Run event detector over all active contexts │
│ 5. If event detected → Gemini generates voice message │
│ 6. Push audio into LiveKit room via Gemini Live 2.5 │
└──────────────────────────────────────────────────────────────────┘
│ read/write
MongoDB Atlas
(engineer_states, ownership_map,
events, nudges)
```
---
## Components
### PWA (local agent)
- Joins LiveKit room via existing `joinPod` flow
- Captures frame every 30s via `getDisplayMedia`, compresses to JPEG (1280×720, quality 0.7)
- POSTs `{ engineerId, podId, screenshotBase64, capturedAt }` to `POST /ingest`
- Receives Hermes audio track (automatic via LiveKit)
- Listens for data channel messages → renders nudge feed
- Two screens: join screen (built), active session screen (to build)
### Hermes (orchestrator)
- Express server + LiveKit Agent on DigitalOcean
- `POST /ingest`: receives frame, queues for vision
- Vision pipeline: Gemini 2.0 Flash → `EngineerContext`
- Confidence gate: discard frames with confidence < 0.6
- State writer: upsert `engineer_states` + `ownership_map` in MongoDB
- Event detector: Gemini text prompt over all active states
- Nudge generator: Gemini text → 12 sentence spoken message
- Voice publisher: Gemini Live 2.5 via LiveKit Agents → audio into room
- Data channel: sends structured nudge payload alongside audio
- Cooldown: 3 min between nudges per pod
### Gemini usage
- **Vision:** `gemini-2.0-flash` — screen → `{ currentFile, inferredTask, terminalVisible, recentTerminalOutput, confidence }`
- **Event detection:** `gemini-2.0-flash` — all engineer states → `{ event, involvedEngineers, file, reason }`
- **Nudge generation:** `gemini-2.0-flash` — event → spoken message text
- **Voice:** `gemini-3.1-flash-tts-preview` via LiveKit audio publication — text → audio
### MongoDB Atlas (4 collections)
- `engineer_states`: latest context per engineer, upserted each ingest
- `ownership_map`: file → primaryOwner + contributors, persists across sessions (continual learning)
- `events`: all detected coordination events
- `nudges`: all voice nudges sent + cooldown history
### LiveKit
- One room per pod
- Engineers publish screen track (used client-side for capture — Hermes does not subscribe)
- Hermes joins as `podman-hermes`, publishes audio + data channel messages
- Engineers receive audio automatically
---
## Event types
| Event | Trigger | Example nudge |
| ------------------ | -------------------------------------------------------------------------- | --------------------------------------------------------------------------------------- |
| `BLOCKER_DETECTED` | Engineer stuck (error in terminal, same file N frames) + teammate can help | "Carol, looks like you're waiting on auth. Alice is actively building it — hang tight." |
| `DEPENDENCY_READY` | Engineer A completes work that Engineer B was waiting on | "Carol, Bob — Alice just got the auth endpoint running. You're clear to integrate." |
| `DUPLICATE_WORK` | 2+ engineers on same file simultaneously | "Alice and Bob — you're both in login.tsx. Coordinate before pushing." |
---
## Continual learning story
The `ownership_map` collection persists across sessions. On Hermes startup:
1. Load ownership map for this pod from Atlas
2. Build in-memory cache: `Map<file, { primaryOwner, contributors }>`
3. Event detection uses priors immediately — no ramp-up phase
**Demo:** Session 1 takes 3 min to first nudge. Session 2 fires in < 30 seconds. That is the learning, visible on stage.
---
## Demo flow (3 min)
1. **(0:00)** Three engineers join pod. PodMan greets by voice.
2. **(0:20)** Alice opens `auth/middleware.ts`. Hermes infers ownership.
3. **(0:45)** Bob opens `frontend/login.tsx`. Carol's terminal shows connection refused.
4. **(1:20) BLOCKER_DETECTED:** "Carol, looks like you're waiting on auth. Alice is actively building it — hang tight."
5. **(2:00) DEPENDENCY_READY:** "Carol, Bob — Alice just got the auth endpoint running. You're clear to integrate."
6. **(2:20)** Optional: session 2 warm-start comparison.
7. **(2:45)** Close: "PodMan — the teammate that sees what Slack can't."
---
## Key risks
| Risk | Mitigation |
| -------------------------------------------- | ------------------------------------------------- |
| Gemini Vision accuracy | Large font, single editor window, confidence gate |
| Gemini Live 2.5 + LiveKit Agents integration | Build together hour 57, have TTS fallback |
| Frame POST latency | JPEG compression, target < 500ms |
| Event false positives | 3-min cooldown, pre-staged demo |
| DO deploy failure | Hermes runs local, PWA defaults to localhost:8787 |
+7 -1
View File
@@ -3,7 +3,13 @@ import tseslint from 'typescript-eslint';
export default tseslint.config(
{
ignores: ['**/dist/**', '**/build/**', '**/node_modules/**', '**/*.config.*'],
ignores: [
'**/dist/**',
'**/build/**',
'**/node_modules/**',
'**/.venv/**',
'**/*.config.*',
],
},
js.configs.recommended,
...tseslint.configs.recommended,
+21
View File
@@ -30,6 +30,27 @@
content="Ambient AI teammate that catches merge collisions before anyone pushes."
/>
<meta name="twitter:image" content="https://www.podman.live/og.png" />
<script>
// Tear down any service worker we shipped earlier (vite-plugin-pwa).
// PodMan runs no PWA in production: we deploy continuously and SW-driven
// reloads break the live demo. This unregisters leftover workers and
// clears their caches on every load so previously-affected browsers
// self-heal — no manual DevTools needed. It does NOT reload the page and
// is a no-op once nothing is registered.
if ('serviceWorker' in navigator) {
navigator.serviceWorker
.getRegistrations()
.then((regs) => regs.forEach((r) => r.unregister()))
.catch(() => {});
if (window.caches && caches.keys) {
caches
.keys()
.then((keys) => keys.forEach((k) => caches.delete(k)))
.catch(() => {});
}
}
</script>
</head>
<body>
<div id="root"></div>
+63 -3
View File
@@ -42,6 +42,26 @@ import { Skeleton } from '@/components/ui/skeleton';
const SESSION_KEY = 'podman.session';
const fmt = new Intl.NumberFormat('en', { notation: 'compact' });
function pathPodId(): string | null {
const [segment] = window.location.pathname.split('/').filter(Boolean);
return segment ? decodeURIComponent(segment) : null;
}
function setPodPath(podId: string, replace = false): void {
const next = `/${encodeURIComponent(podId)}`;
if (window.location.pathname === next) return;
window.history[replace ? 'replaceState' : 'pushState']({}, '', next);
}
function setHomePath(): void {
if (window.location.pathname === '/') return;
window.history.pushState({}, '', '/');
}
function replacePath(path: string): void {
window.history.replaceState({}, '', path || '/');
}
export default function App() {
const [pods, setPods] = useState<Pod[]>([]);
const [loading, setLoading] = useState(true);
@@ -85,13 +105,20 @@ export default function App() {
return n;
});
async function connectToPod(podId: string, who: string) {
async function connectToPod(podId: string, who: string, replaceRoute = false) {
const previousPath = window.location.pathname;
setPodPath(podId, replaceRoute);
try {
const result = await joinPod(podId, who, who);
setRoom(result.room);
setDevMode(result.mode === 'dev');
setMember(who);
setJoinedPodId(podId);
sessionStorage.setItem(SESSION_KEY, JSON.stringify({ podId, member: who }));
} catch (e) {
replacePath(previousPath);
throw e;
}
}
useEffect(() => {
@@ -124,8 +151,14 @@ export default function App() {
}, [joinedPodId]);
useEffect(() => {
const routedPodId = pathPodId();
const raw = sessionStorage.getItem(SESSION_KEY);
if (!raw) return;
if (!raw) {
if (routedPodId) {
setError(`Enter your name to join ${routedPodId}.`);
}
return;
}
let saved: { podId: string; member: string };
try {
saved = JSON.parse(raw);
@@ -133,10 +166,11 @@ export default function App() {
sessionStorage.removeItem(SESSION_KEY);
return;
}
const podId = routedPodId ?? saved.podId;
setRestoring(true);
void (async () => {
try {
await connectToPod(saved.podId, saved.member);
await connectToPod(podId, saved.member, !!routedPodId);
} catch {
sessionStorage.removeItem(SESSION_KEY);
} finally {
@@ -145,6 +179,30 @@ export default function App() {
})();
}, []);
useEffect(() => {
const onPopState = () => {
const routedPodId = pathPodId();
if (!routedPodId) {
room?.disconnect();
setRoom(null);
setJoinedPodId(null);
return;
}
const raw = sessionStorage.getItem(SESSION_KEY);
if (!raw) return;
try {
const saved = JSON.parse(raw) as { member: string };
if (saved.member && routedPodId !== joinedPodId) {
void connectToPod(routedPodId, saved.member, true);
}
} catch {
sessionStorage.removeItem(SESSION_KEY);
}
};
window.addEventListener('popstate', onPopState);
return () => window.removeEventListener('popstate', onPopState);
}, [joinedPodId, room]);
async function run(key: string, fn: () => Promise<void>) {
startPending(key);
setError(null);
@@ -179,6 +237,7 @@ export default function App() {
run(id, async () => {
await api.deletePod(id);
setPods((cur) => cur.filter((x) => x.id !== id));
if (pathPodId() === id) setHomePath();
});
const handleAddMember = (id: string, name: string) =>
run(id, async () => upsert(await api.addMember(id, name)));
@@ -215,6 +274,7 @@ export default function App() {
setRoom(null);
setJoinedPodId(null);
sessionStorage.removeItem(SESSION_KEY);
setHomePath();
void refresh();
}
+145 -248
View File
@@ -1,111 +1,36 @@
import { useEffect, useMemo, useState, type CSSProperties } from 'react';
import type { PodGraph, PodGraphNode, PodGraphEdge, PodGraphNodeKind } from '@podman/shared';
import { fetchPodGraph } from '../lib/graph.js';
import { useEffect, useMemo, useState } from 'react';
import type { PodGraph } from '@podman/shared';
import { fetchPodGraph, backendEventsUrl } from '../lib/graph.js';
import { Button } from '@/components/ui/button';
import { Badge } from '@/components/ui/badge';
import { ToggleGroup, ToggleGroupItem } from '@/components/ui/toggle-group';
import { GraphCanvas } from './graph/GraphCanvas.js';
import { MetricsRail } from './graph/MetricsRail.js';
import { LearningLoop } from './graph/LearningLoop.js';
import { ActivityStream } from './graph/ActivityStream.js';
import { SelectedNodePanel } from './graph/SelectedNodePanel.js';
import { highlightFor, flowNarrative, NODE_LEGEND, EDGE_LEGEND, type Mode } from './graph/encoding.js';
type Mode = 'risk' | 'learn' | 'all';
const POLL_MS = 5000;
// Fixed, light-readable hues for the node/edge encoding (kept stable across
// light/dark so kinds stay distinguishable; the chrome uses shadcn tokens).
const BLUE = '#2563eb';
const SLATE = '#475569';
const SLATE_EDGE = '#94a3b8';
const SLATE_FAINT = '#cbd5e1';
const AMBER = '#d97706';
const RED = '#dc2626';
const VIOLET = '#7c3aed';
const KIND_COLOR: Record<PodGraphNodeKind, string> = {
engineer: BLUE,
file: SLATE,
feature: AMBER,
collision: RED,
intervention: VIOLET,
};
const EDGE: Record<PodGraphEdge['kind'], { c: string; w: number; dash?: boolean }> = {
owns: { c: BLUE, w: 2.6 },
editing: { c: SLATE_EDGE, w: 2 },
touches: { c: SLATE_FAINT, w: 1.6 },
collides: { c: RED, w: 3.2 },
warns: { c: AMBER, w: 3.2 },
learned_from: { c: VIOLET, w: 2.4, dash: true },
};
function NodeShape({ node }: { node: PodGraphNode }) {
const c = KIND_COLOR[node.kind];
const { x, y } = node;
switch (node.kind) {
case 'engineer':
return <rect x={x - 15} y={y - 15} width={30} height={30} rx={4} fill={c} />;
case 'file':
return (
<rect
x={x - 15}
y={y - 15}
width={30}
height={30}
rx={4}
fill="none"
stroke={c}
strokeWidth={2.6}
/>
);
case 'feature':
return <circle cx={x} cy={y} r={17} fill={c} />;
case 'collision':
return <polygon points={`${x},${y - 18} ${x + 17},${y + 13} ${x - 17},${y + 13}`} fill={c} />;
case 'intervention':
return (
<polygon points={`${x},${y - 18} ${x + 18},${y} ${x},${y + 18} ${x - 18},${y}`} fill={c} />
);
default:
return null;
// Note: pm-enter must NOT use animation-fill-mode (both/forwards) — a held final
// keyframe (opacity:1) would override the .pm-dim cascade and defeat dimming.
const GRAPH_CSS = `
.pm-node{cursor:grab;transition:opacity .25s ease}
.pm-node:active{cursor:grabbing}
.pm-edge{transition:opacity .25s ease}
.pm-lbl{fill:var(--foreground);font-size:11px;font-weight:500;pointer-events:none;
paint-order:stroke;stroke:var(--card);stroke-width:3.5px;stroke-linejoin:round}
.pm-dim{opacity:.14}
.pm-enter{animation:pm-fade .45s ease}
.pm-dash{animation:pm-flow 1s linear infinite}
.pm-pulse{animation:pm-pulse 1.7s ease-in-out infinite}
@keyframes pm-fade{from{opacity:0}to{opacity:1}}
@keyframes pm-flow{to{stroke-dashoffset:-26}}
@keyframes pm-pulse{0%,100%{opacity:.45}50%{opacity:1}}
@media (prefers-reduced-motion:reduce){
.pm-enter,.pm-dash,.pm-pulse{animation:none}
}
}
interface Highlight {
nodes: Set<string>;
edges: Set<string>;
}
function highlightFor(graph: PodGraph, mode: Mode, selected: string | null): Highlight | null {
if (selected) {
const es = graph.edges.filter((e) => e.source === selected || e.target === selected);
return {
nodes: new Set([selected, ...es.flatMap((e) => [e.source, e.target])]),
edges: new Set(es.map((e) => e.id)),
};
}
if (mode === 'all') return null;
const kinds: PodGraphEdge['kind'][] =
mode === 'risk' ? ['collides', 'warns', 'learned_from'] : ['learned_from', 'warns'];
const collisions = new Set(graph.nodes.filter((n) => n.kind === 'collision').map((n) => n.id));
const es = graph.edges.filter(
(e) =>
kinds.includes(e.kind) ||
(mode === 'risk' && (collisions.has(e.target) || collisions.has(e.source))),
);
return {
nodes: new Set(es.flatMap((e) => [e.source, e.target])),
edges: new Set(es.map((e) => e.id)),
};
}
const LEGEND: Array<{ label: string; swatch: CSSProperties }> = [
{ label: 'engineer', swatch: { background: BLUE } },
{ label: 'file', swatch: { border: `2px solid ${SLATE}` } },
{ label: 'feature', swatch: { background: AMBER, borderRadius: '50%' } },
{ label: 'collision', swatch: { background: RED, clipPath: 'polygon(50% 0,100% 100%,0 100%)' } },
{ label: 'intervention', swatch: { background: VIOLET, transform: 'rotate(45deg)' } },
];
function statusColor(status: string): string {
if (status === 'risk') return RED;
if (status === 'learned') return VIOLET;
return 'var(--foreground)';
}
`;
export function GraphView({ podId, onClose }: { podId: string; onClose: () => void }) {
const [graph, setGraph] = useState<PodGraph | null>(null);
@@ -115,198 +40,170 @@ export function GraphView({ podId, onClose }: { podId: string; onClose: () => vo
useEffect(() => {
let alive = true;
let nudge: number | null = null;
setGraph(null);
setError(null);
setSelected(null);
const load = () =>
fetchPodGraph(podId)
.then((g) => alive && setGraph(g))
.catch((e: unknown) => alive && setError(e instanceof Error ? e.message : String(e)));
.then((g) => {
if (alive) {
setGraph(g);
setError(null);
}
})
.catch((e: unknown) => {
if (alive) setError(e instanceof Error ? e.message : String(e));
});
void load();
const poll = window.setInterval(() => void load(), POLL_MS);
// Best-effort realtime nudge: refetch (debounced) when the agent broadcasts.
let ws: WebSocket | null = null;
try {
ws = new WebSocket(backendEventsUrl());
ws.onmessage = () => {
if (nudge != null) return;
nudge = window.setTimeout(() => {
nudge = null;
void load();
}, 800);
};
} catch {
/* event bus is optional */
}
return () => {
alive = false;
window.clearInterval(poll);
if (nudge != null) window.clearTimeout(nudge);
ws?.close();
};
}, [podId]);
const hi = useMemo(
() => (graph ? highlightFor(graph, mode, selected) : null),
[graph, mode, selected],
);
const nodeById = useMemo(() => new Map((graph?.nodes ?? []).map((n) => [n.id, n])), [graph]);
const sel = selected ? nodeById.get(selected) : undefined;
const relCount = selected
? (graph?.edges ?? []).filter((e) => e.source === selected || e.target === selected).length
: 0;
// A selected node can vanish across a poll/WS refresh. Ignore a stale id so the
// graph doesn't dim entirely (highlightFor would otherwise light only a dead id).
const liveSelected = selected && nodeById.has(selected) ? selected : null;
useEffect(() => {
if (selected && graph && !nodeById.has(selected)) setSelected(null);
}, [graph, nodeById, selected]);
const dimNode = (id: string) => (hi ? !hi.nodes.has(id) : false);
const dimEdge = (id: string) => (hi ? !hi.edges.has(id) : false);
const hotEdge = (id: string) => (hi ? hi.edges.has(id) : false);
const highlight = useMemo(
() => (graph ? highlightFor(graph, mode, liveSelected) : null),
[graph, mode, liveSelected],
);
const sel = liveSelected ? nodeById.get(liveSelected) : undefined;
const relCount = liveSelected
? (graph?.edges ?? []).filter((e) => e.source === liveSelected || e.target === liveSelected)
.length
: 0;
const flow = graph && liveSelected ? flowNarrative(graph, liveSelected) : '';
function pick(next: Mode) {
setMode(next);
setSelected(null);
}
const toggleVariant = (m: Mode) => (mode === m && !selected ? 'default' : 'outline');
return (
<div className="min-h-screen bg-background text-foreground">
<style>{GRAPH_CSS}</style>
<div className="mx-auto w-full max-w-7xl px-4 py-4 sm:px-6 lg:px-8">
<style>{`
.pm-node{cursor:pointer}
.pm-lbl{fill:var(--foreground);font-size:11px;font-weight:500}
.pm-dim{opacity:.18;transition:opacity .25s}
`}</style>
<div className="overflow-hidden rounded-xl border bg-card text-card-foreground">
<div className="flex items-center justify-between border-b px-5 py-4">
<div>
<h2 className="text-base font-medium">Team memory</h2>
<p className="mt-0.5 text-xs text-muted-foreground">What PodMan learned · {podId}</p>
<div className="overflow-hidden rounded-xl border bg-card text-card-foreground shadow-sm">
{/* Header */}
<div className="flex items-center justify-between gap-3 border-b px-5 py-4">
<div className="min-w-0">
<div className="flex items-center gap-2">
<h2 className="font-heading text-base font-medium">Team memory</h2>
<span className="inline-flex items-center gap-1.5 rounded-full border px-2 py-0.5 text-[0.65rem] font-medium uppercase tracking-wide text-muted-foreground">
<span className="pm-pulse inline-block size-1.5 rounded-full bg-[#16a34a]" />
Live
</span>
</div>
<p className="mt-0.5 truncate text-xs text-muted-foreground">
What PodMan learned · {podId}
</p>
</div>
<Button variant="outline" size="sm" onClick={onClose}>
Pods
</Button>
</div>
<div className="flex flex-wrap gap-2 border-b px-4 py-3">
<Button variant={toggleVariant('risk')} size="sm" onClick={() => pick('risk')}>
Risk path
</Button>
<Button variant={toggleVariant('learn')} size="sm" onClick={() => pick('learn')}>
Learning edges
</Button>
<Button variant={toggleVariant('all')} size="sm" onClick={() => pick('all')}>
Whole graph
</Button>
{/* Toggles */}
<div className="flex flex-wrap items-center gap-2 border-b px-4 py-3">
<ToggleGroup
type="single"
value={mode}
onValueChange={(v) => v && pick(v as Mode)}
variant="outline"
size="sm"
>
<ToggleGroupItem value="risk">Risk path</ToggleGroupItem>
<ToggleGroupItem value="learn">Learning edges</ToggleGroupItem>
<ToggleGroupItem value="all">Whole graph</ToggleGroupItem>
</ToggleGroup>
<span className="ml-auto hidden text-xs text-muted-foreground sm:inline">
Drag to rearrange · double-click to release · click to inspect
</span>
</div>
{error && <p className="px-4 py-4 text-sm text-destructive">Graph error: {error}</p>}
{!graph && !error && (
<p className="px-4 py-4 text-sm text-muted-foreground">Loading graph</p>
<p className="px-4 py-10 text-center text-sm text-muted-foreground">Loading graph</p>
)}
{graph && (
<>
<div className="grid lg:grid-cols-[190px_1fr_250px]">
<div className="space-y-3 p-4">
<p className="text-xs font-medium uppercase tracking-wide text-muted-foreground">
Workflow metrics
</p>
{graph.metrics.map((m) => (
<div key={m.label} className="rounded-lg border bg-card px-3 py-2.5">
<p className="text-2xl font-medium tabular-nums">{m.value}</p>
<p className="mt-1 text-xs font-medium uppercase text-muted-foreground">
{m.label}
</p>
<p className="mt-1 text-xs leading-snug text-muted-foreground">{m.detail}</p>
</div>
))}
</div>
{/* Metrics · graph · learning loop */}
<div className="grid gap-4 p-4 lg:grid-cols-[180px_minmax(0,1fr)_212px]">
<MetricsRail metrics={graph.metrics} />
<div className="min-h-[472px] border-y bg-card lg:border-x lg:border-y-0">
<svg
viewBox="0 0 720 472"
role="img"
aria-label="PodMan team-memory graph"
className="block h-auto w-full"
>
{graph.edges.map((e) => {
const a = nodeById.get(e.source);
const b = nodeById.get(e.target);
if (!a || !b) return null;
const s = EDGE[e.kind];
return (
<line
key={e.id}
className={dimEdge(e.id) ? 'pm-dim' : undefined}
x1={a.x}
y1={a.y}
x2={b.x}
y2={b.y}
stroke={s.c}
strokeWidth={hotEdge(e.id) ? s.w + 1.6 : s.w}
strokeDasharray={s.dash ? '7 6' : undefined}
strokeLinecap="round"
<div className="flex min-h-[440px] flex-col overflow-hidden rounded-xl border bg-card">
<GraphCanvas
graph={graph}
highlight={highlight}
selected={liveSelected}
onSelect={setSelected}
/>
);
})}
{graph.nodes.map((n) => (
<g
key={n.id}
className={`pm-node ${dimNode(n.id) ? 'pm-dim' : ''}`}
role="button"
tabIndex={0}
aria-label={`${n.kind}: ${n.label}`}
onClick={() => setSelected((cur) => (cur === n.id ? null : n.id))}
onKeyDown={(ev) => {
if (ev.key === 'Enter' || ev.key === ' ') {
ev.preventDefault();
setSelected((cur) => (cur === n.id ? null : n.id));
}
}}
>
<NodeShape node={n} />
<text className="pm-lbl" x={n.x} y={n.y + 33} textAnchor="middle">
{n.label}
</text>
</g>
))}
</svg>
</div>
<div className="border-t bg-muted p-4 lg:border-l lg:border-t-0">
{sel ? (
<>
<p className="text-xs uppercase tracking-wide text-muted-foreground">
{sel.kind}
</p>
<h3 className="mb-3 mt-1 text-lg font-medium">{sel.label}</h3>
<div className="flex items-center justify-between border-b py-1.5 text-sm text-muted-foreground">
<span>Status</span>
<Badge variant="outline" style={{ color: statusColor(sel.status) }}>
{sel.status}
</Badge>
{graph.loop?.steps?.length ? <LearningLoop loop={graph.loop} /> : <div />}
</div>
<div className="flex items-center justify-between border-b py-1.5 text-sm text-muted-foreground">
<span>Relationships</span>
<span className="font-medium text-foreground">{relCount}</span>
{/* Activity stream · selected node */}
<div className="grid gap-4 border-t px-4 py-4 lg:grid-cols-[minmax(0,1fr)_320px]">
<div className="rounded-xl border bg-card p-4">
<ActivityStream events={graph.activity ?? []} />
</div>
<p className="mt-2.5 text-sm leading-relaxed text-muted-foreground">
{sel.summary}
</p>
</>
) : (
<>
<p className="text-xs uppercase tracking-wide text-muted-foreground">
Continual learning
</p>
<h3 className="mb-3 mt-1 text-lg font-medium">It learned</h3>
<p className="text-sm leading-relaxed text-muted-foreground">
The violet{' '}
<span className="font-medium" style={{ color: VIOLET }}>
learned_from
</span>{' '}
edges are ownership PodMan retained from accepted interventions the graph
gets sharper every session. Click any node to trace its relationships.
</p>
</>
)}
<div className="rounded-xl border bg-muted/40 p-4">
<SelectedNodePanel node={sel} relCount={relCount} flow={flow} mode={mode} />
</div>
</div>
<div className="flex flex-wrap gap-3 border-t px-4 py-2.5 text-xs text-muted-foreground">
{LEGEND.map((l) => (
{/* Legend */}
<div className="flex flex-wrap items-center gap-x-3 gap-y-1.5 border-t px-4 py-2.5 text-xs text-muted-foreground">
{NODE_LEGEND.map((l) => (
<span key={l.label} className="flex items-center gap-1.5">
<span className="inline-block size-3" style={l.swatch} />
{l.label}
</span>
))}
<span className="flex items-center gap-1.5">
<span className="inline-block h-[3px] w-3" style={{ background: RED }} />
collides
</span>
<span className="flex items-center gap-1.5">
<span className="inline-block h-[3px] w-3" style={{ background: VIOLET }} />
learned_from
<span className="mx-1 h-3 w-px bg-border" aria-hidden />
{EDGE_LEGEND.map((l) => (
<span key={l.label} className="flex items-center gap-1.5">
<span
className="inline-block h-[3px] w-3.5"
style={
l.dash
? { backgroundImage: `repeating-linear-gradient(90deg, ${l.color} 0 3px, transparent 3px 6px)` }
: { background: l.color }
}
/>
{l.label}
</span>
))}
</div>
</>
)}
+10 -35
View File
@@ -2,7 +2,6 @@ import { useState } from 'react';
import {
BrainCircuitIcon,
MoreHorizontalIcon,
PlusIcon,
Trash2Icon,
UserRoundIcon,
VideoIcon,
@@ -16,7 +15,6 @@ import {
CardAction,
CardContent,
CardDescription,
CardFooter,
CardHeader,
CardTitle,
} from '@/components/ui/card';
@@ -43,9 +41,9 @@ export function PodCard({
pod,
busy,
presence,
onJoin,
onJoin: _onJoin,
onAddAndJoin,
onAddMember,
onAddMember: _onAddMember,
onRemoveMember: _onRemoveMember,
onUpdate,
onDelete,
@@ -72,7 +70,6 @@ export function PodCard({
const inRoom = (name: string) => presence.some((p) => p.toLowerCase() === name.toLowerCase());
const active = presence.length > 0;
const primaryMember = pod.members[0] ?? '';
function saveEdit() {
onUpdate(pod.id, {
@@ -83,11 +80,12 @@ export function PodCard({
setEditing(false);
}
function submitMember(join: boolean) {
// One action: enter your name, hit Join → added to the roster (deduped
// server-side) and connected to the room in a single step.
function join() {
const name = newMember.trim();
if (!name) return;
if (join) onAddAndJoin(pod, name);
else onAddMember(pod.id, name);
onAddAndJoin(pod, name);
setNewMember('');
}
@@ -165,39 +163,16 @@ export function PodCard({
value={newMember}
onChange={(e) => setNewMember(e.target.value)}
onKeyDown={(e) => {
if (e.key === 'Enter') submitMember(true);
if (e.key === 'Enter') join();
}}
/>
<Button
variant="outline"
size="icon"
onClick={() => submitMember(false)}
disabled={busy || !newMember.trim()}
>
<PlusIcon />
<span className="sr-only">Add member</span>
<Button className="min-w-24" onClick={join} disabled={busy || !newMember.trim()}>
<VideoIcon data-icon="inline-start" />
Join
</Button>
</div>
</div>
</CardContent>
<CardFooter className="justify-between gap-2">
<Button
variant="outline"
onClick={() => primaryMember && onJoin(pod, primaryMember)}
disabled={busy || !primaryMember}
>
<VideoIcon data-icon="inline-start" />
Join
</Button>
<Button
className="min-w-28"
onClick={() => submitMember(true)}
disabled={busy || !newMember.trim()}
>
Add and join
</Button>
</CardFooter>
</Card>
<Dialog open={editing} onOpenChange={setEditing}>
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,52 @@
import type { PodGraphActivity } from '@podman/shared';
import { ScrollArea } from '@/components/ui/scroll-area';
import { ACTIVITY_TAG } from './encoding.js';
const fmtTime = new Intl.DateTimeFormat([], { hour: '2-digit', minute: '2-digit', hour12: false });
function timeOf(at: string): string {
const t = new Date(at).getTime();
return Number.isFinite(t) ? fmtTime.format(t) : '--:--';
}
export function ActivityStream({ events }: { events: PodGraphActivity[] }) {
return (
<div className="flex h-full flex-col">
<p className="mb-2 text-xs font-medium uppercase tracking-wide text-muted-foreground">
Activity stream
</p>
{events.length === 0 ? (
<p className="text-sm text-muted-foreground">No activity yet.</p>
) : (
<ScrollArea className="h-[176px] pr-3">
<ul className="space-y-1.5">
{events.map((e) => {
const tag = ACTIVITY_TAG[e.kind];
return (
<li key={e.id} className="pm-enter flex items-start gap-2.5 text-sm">
<span className="mt-0.5 shrink-0 font-mono text-xs tabular-nums text-muted-foreground">
{timeOf(e.at)}
</span>
<span
className="mt-0.5 shrink-0 rounded px-1.5 py-0.5 text-[0.6rem] font-semibold uppercase tracking-wide"
style={{ color: tag.color, background: `${tag.color}1a` }}
>
{tag.label}
</span>
<span className="min-w-0 flex-1 leading-snug">
<span className="text-foreground/90">{e.title}</span>
{e.detail && (
<span className="block text-xs leading-snug text-muted-foreground">
{e.detail}
</span>
)}
</span>
</li>
);
})}
</ul>
</ScrollArea>
)}
</div>
);
}
@@ -0,0 +1,333 @@
import {
useCallback,
useEffect,
useRef,
useState,
type ReactElement,
type PointerEvent,
} from 'react';
import type { PodGraph, PodGraphNode, PodGraphNodeKind } from '@podman/shared';
import { ForceSim } from './forceSim.js';
import { EDGE, KIND_COLOR, nodeRadius, type Highlight } from './encoding.js';
const W = 760;
const H = 480;
const MARGIN = 48;
/** Map the server's 0..720×0..472 layout into the canvas as a seed position. */
function mapX(x: number): number {
return MARGIN + (Math.max(0, Math.min(720, x)) / 720) * (W - 2 * MARGIN);
}
function mapY(y: number): number {
return MARGIN + (Math.max(0, Math.min(472, y)) / 472) * (H - 2 * MARGIN);
}
function linkDistance(kind: string): number {
if (kind === 'collides') return 122;
if (kind === 'owns') return 104;
if (kind === 'learned_from') return 150;
return 134;
}
function linkStrength(strength: number): number {
return Math.max(0.18, Math.min(0.9, strength));
}
/** Stable +/- so parallel edges between the same pair fan to opposite sides. */
function curveSign(id: string): number {
let h = 0;
for (let i = 0; i < id.length; i++) h = (h + id.charCodeAt(i)) % 2;
return h === 0 ? 1 : -1;
}
function edgePath(ax: number, ay: number, bx: number, by: number, id: string): string {
const dx = bx - ax;
const dy = by - ay;
const len = Math.hypot(dx, dy) || 1;
const nx = -dy / len;
const ny = dx / len;
const off = curveSign(id) * len * 0.13;
const cx = (ax + bx) / 2 + nx * off;
const cy = (ay + by) / 2 + ny * off;
return `M${ax.toFixed(1)},${ay.toFixed(1)} Q${cx.toFixed(1)},${cy.toFixed(1)} ${bx.toFixed(1)},${by.toFixed(1)}`;
}
function nodeShape(
kind: PodGraphNodeKind,
color: string,
cx: number,
cy: number,
r: number,
): ReactElement | null {
switch (kind) {
case 'engineer':
return <rect x={cx - r} y={cy - r} width={r * 2} height={r * 2} rx={4} fill={color} />;
case 'file':
return (
<rect
x={cx - r}
y={cy - r}
width={r * 2}
height={r * 2}
rx={4}
fill="var(--card)"
stroke={color}
strokeWidth={2.4}
/>
);
case 'feature':
return <circle cx={cx} cy={cy} r={r} fill={color} />;
case 'collision':
return (
<polygon
points={`${cx},${cy - r} ${cx + r},${cy + r * 0.78} ${cx - r},${cy + r * 0.78}`}
fill={color}
/>
);
case 'intervention':
return (
<polygon points={`${cx},${cy - r} ${cx + r},${cy} ${cx},${cy + r} ${cx - r},${cy}`} fill={color} />
);
default:
return null;
}
}
function showLabel(
node: PodGraphNode,
dimmed: boolean,
hovered: boolean,
selected: boolean,
): boolean {
if (hovered || selected) return true;
if (dimmed) return false;
// Collisions cluster and often share a filename — reveal on hover/select only.
if (node.kind === 'collision') return false;
return true;
}
interface DragState {
id: string;
pointerId: number;
moved: boolean;
}
export function GraphCanvas({
graph,
highlight,
selected,
onSelect,
}: {
graph: PodGraph;
highlight: Highlight | null;
selected: string | null;
onSelect: (id: string | null) => void;
}) {
const svgRef = useRef<SVGSVGElement | null>(null);
const simRef = useRef<ForceSim | null>(null);
if (!simRef.current) simRef.current = new ForceSim(W, H);
const rafRef = useRef<number | null>(null);
const dragRef = useRef<DragState | null>(null);
const sigRef = useRef<string>('');
const [, setFrame] = useState(0);
const [hovered, setHovered] = useState<string | null>(null);
const loop = useCallback(() => {
const sim = simRef.current;
if (!sim) return;
const working = sim.tick();
setFrame((f) => (f + 1) % 1_000_000);
if (working || dragRef.current) {
rafRef.current = requestAnimationFrame(loop);
} else {
rafRef.current = null;
}
}, []);
const ensureRaf = useCallback(() => {
if (rafRef.current == null) rafRef.current = requestAnimationFrame(loop);
}, [loop]);
// Rebuild the simulation when the graph data changes, preserving positions.
useEffect(() => {
const sim = simRef.current;
if (!sim) return;
const nodeInputs = graph.nodes.map((n) => ({
id: n.id,
radius: nodeRadius(n),
seedX: mapX(n.x),
seedY: mapY(n.y),
}));
const linkInputs = graph.edges.map((e) => ({
source: e.source,
target: e.target,
distance: linkDistance(e.kind),
strength: linkStrength(e.strength),
}));
const sig =
nodeInputs
.map((n) => n.id)
.sort()
.join(',') +
'|' +
graph.edges
.map((e) => e.id)
.sort()
.join(',');
const first = sigRef.current === '';
const changed = sig !== sigRef.current;
sim.setData(nodeInputs, linkInputs);
if (changed) {
sigRef.current = sig;
sim.reheat(first ? 1 : 0.5);
}
// Always (re)arm the loop — ensureRaf is idempotent via the rafRef==null
// guard. This must NOT be gated on `changed`: under React StrictMode the
// dev double-invoke cancels the frame between effect passes, and pass 2 sees
// an unchanged sig, so a `changed`-gated start would leave the sim frozen.
if (sim.nodes.length) ensureRaf();
}, [graph, ensureRaf]);
// Clean up the animation frame on unmount.
useEffect(() => {
return () => {
if (rafRef.current != null) cancelAnimationFrame(rafRef.current);
rafRef.current = null;
};
}, []);
function toSvg(evt: PointerEvent): { x: number; y: number } {
const svg = svgRef.current;
if (!svg) return { x: 0, y: 0 };
const ctm = svg.getScreenCTM();
if (!ctm) return { x: 0, y: 0 };
const p = new DOMPoint(evt.clientX, evt.clientY).matrixTransform(ctm.inverse());
return { x: p.x, y: p.y };
}
function onNodePointerDown(evt: PointerEvent, id: string) {
evt.stopPropagation();
const sim = simRef.current;
if (!sim) return;
(evt.currentTarget as Element).setPointerCapture(evt.pointerId);
dragRef.current = { id, pointerId: evt.pointerId, moved: false };
const { x, y } = toSvg(evt);
sim.pin(id, x, y);
sim.setActive(true);
ensureRaf();
}
function onNodePointerMove(evt: PointerEvent) {
const drag = dragRef.current;
const sim = simRef.current;
if (!drag || !sim || drag.pointerId !== evt.pointerId) return;
drag.moved = true;
const { x, y } = toSvg(evt);
sim.pin(drag.id, x, y);
ensureRaf();
}
function onNodePointerUp(evt: PointerEvent, id: string) {
const drag = dragRef.current;
const sim = simRef.current;
if (!drag || !sim || drag.pointerId !== evt.pointerId) return;
(evt.currentTarget as Element).releasePointerCapture?.(evt.pointerId);
sim.setActive(false);
// A press that never moved is a click — toggle selection (node stays pinned).
if (!drag.moved) onSelect(selected === id ? null : id);
dragRef.current = null;
ensureRaf();
}
function onNodeDoubleClick(id: string) {
const sim = simRef.current;
if (!sim) return;
sim.unpin(id);
sim.reheat(0.5);
ensureRaf();
}
const sim = simRef.current;
const dimNode = (id: string) => (highlight ? !highlight.nodes.has(id) : false);
const dimEdge = (id: string) => (highlight ? !highlight.edges.has(id) : false);
const hotEdge = (id: string) => (highlight ? highlight.edges.has(id) : false);
return (
<svg
ref={svgRef}
viewBox={`0 0 ${W} ${H}`}
role="img"
aria-label="PodMan team-memory graph — drag nodes to rearrange"
className="block h-full max-h-[560px] w-full touch-none select-none"
onPointerDown={() => onSelect(null)}
>
<g>
{graph.edges.map((e) => {
const a = sim?.get(e.source);
const b = sim?.get(e.target);
if (!a || !b) return null;
const style = EDGE[e.kind];
const hot = hotEdge(e.id);
return (
<path
key={e.id}
className={`pm-edge pm-enter ${dimEdge(e.id) ? 'pm-dim' : ''} ${e.kind === 'learned_from' ? 'pm-dash' : ''}`}
d={edgePath(a.x, a.y, b.x, b.y, e.id)}
fill="none"
stroke={style.c}
strokeWidth={hot ? style.w + 1.4 : style.w}
strokeOpacity={hot ? 1 : 0.78}
strokeDasharray={style.dash ? '7 6' : undefined}
strokeLinecap="round"
/>
);
})}
</g>
<g>
{graph.nodes.map((n) => {
const p = sim?.get(n.id);
if (!p) return null;
const r = p.radius;
const dimmed = dimNode(n.id);
const isHover = hovered === n.id;
const isSel = selected === n.id;
const color = KIND_COLOR[n.kind];
const pinned = p.fx != null;
return (
<g
key={n.id}
className={`pm-node pm-enter ${dimmed ? 'pm-dim' : ''}`}
role="button"
tabIndex={0}
aria-label={`${n.kind}: ${n.label}`}
onPointerDown={(ev) => onNodePointerDown(ev, n.id)}
onPointerMove={onNodePointerMove}
onPointerUp={(ev) => onNodePointerUp(ev, n.id)}
onDoubleClick={() => onNodeDoubleClick(n.id)}
onMouseEnter={() => setHovered(n.id)}
onMouseLeave={() => setHovered((cur) => (cur === n.id ? null : cur))}
onKeyDown={(ev) => {
if (ev.key === 'Enter' || ev.key === ' ') {
ev.preventDefault();
onSelect(selected === n.id ? null : n.id);
}
}}
>
{(isSel || isHover) && (
<circle cx={p.x} cy={p.y} r={r + 7} fill="none" stroke={color} strokeWidth={2} strokeOpacity={0.5} />
)}
{pinned && !isSel && !isHover && (
<circle cx={p.x} cy={p.y} r={r + 4} fill="none" stroke={color} strokeWidth={1} strokeDasharray="2 3" strokeOpacity={0.4} />
)}
{nodeShape(n.kind, color, p.x, p.y, r)}
{showLabel(n, dimmed, isHover, isSel) && (
<text className="pm-lbl" x={p.x} y={p.y + r + 13} textAnchor="middle">
{n.label}
</text>
)}
</g>
);
})}
</g>
</svg>
);
}
@@ -0,0 +1,49 @@
import type { PodLearningLoop } from '@podman/shared';
import { BLUE } from './encoding.js';
/**
* The continual-learning loop rail: observe store predict outcome adapt.
* The active stage (most-recent activity) gets a pulsing accent bar + ring.
*/
export function LearningLoop({ loop }: { loop: PodLearningLoop }) {
return (
<div className="space-y-1">
<p className="mb-2 text-xs font-medium uppercase tracking-wide text-muted-foreground">
Learning loop
</p>
{loop.steps.map((s, i) => {
const active = s.status === 'active' || s.key === loop.activeStep;
return (
<div key={s.key}>
<div
className="relative overflow-hidden rounded-lg border bg-card py-2 pl-3.5 pr-3 shadow-sm transition-colors data-[active=true]:bg-accent/40"
data-active={active}
style={active ? { boxShadow: `inset 0 0 0 1px ${BLUE}55` } : undefined}
>
<span
aria-hidden
className={`absolute inset-y-0 left-0 w-1 ${active ? 'pm-pulse' : ''}`}
style={{ background: active ? BLUE : 'var(--border)' }}
/>
<div className="flex items-baseline justify-between gap-2">
<p className="text-[0.7rem] font-medium uppercase tracking-wide text-muted-foreground">
<span className="tabular-nums">{String(i + 1).padStart(2, '0')}</span> {s.label}
</p>
<p className="font-heading text-sm font-semibold tabular-nums">{s.value}</p>
</div>
<p className="mt-0.5 text-xs leading-snug text-muted-foreground">{s.detail}</p>
</div>
{i < loop.steps.length - 1 && (
<p
aria-hidden
className="py-0.5 text-center text-xs leading-none text-muted-foreground/60"
>
</p>
)}
</div>
);
})}
</div>
);
}
@@ -0,0 +1,37 @@
import type { PodGraphMetric } from '@podman/shared';
import { BLUE, RED, VIOLET, GREEN, AMBER } from './encoding.js';
const ACCENTS: Array<{ test: RegExp; color: string }> = [
{ test: /risk|collision|open/i, color: RED },
{ test: /accept/i, color: GREEN },
{ test: /learn|owner|adapt/i, color: VIOLET },
{ test: /vector|memory|store/i, color: AMBER },
];
function accentFor(label: string, i: number): string {
for (const a of ACCENTS) if (a.test.test(label)) return a.color;
return [BLUE, RED, VIOLET, GREEN, AMBER][i % 5] ?? BLUE;
}
export function MetricsRail({ metrics }: { metrics: PodGraphMetric[] }) {
return (
<div className="space-y-2.5">
<p className="text-xs font-medium uppercase tracking-wide text-muted-foreground">
Workflow metrics
</p>
{metrics.map((m, i) => (
<div
key={m.label}
className="rounded-lg border bg-card py-2.5 pl-3 pr-3 shadow-sm"
style={{ borderLeftWidth: 3, borderLeftColor: accentFor(m.label, i) }}
>
<p className="font-heading text-2xl font-semibold leading-none tabular-nums">{m.value}</p>
<p className="mt-1.5 text-[0.7rem] font-medium uppercase tracking-wide text-muted-foreground">
{m.label}
</p>
<p className="mt-1 text-xs leading-snug text-muted-foreground">{m.detail}</p>
</div>
))}
</div>
);
}
@@ -0,0 +1,63 @@
import type { PodGraphNode } from '@podman/shared';
import { Badge } from '@/components/ui/badge';
import { statusColor, modeBlurb, VIOLET, type Mode } from './encoding.js';
export function SelectedNodePanel({
node,
relCount,
flow,
mode,
}: {
node: PodGraphNode | undefined;
relCount: number;
flow: string;
mode: Mode;
}) {
if (!node) {
return (
<div className="flex h-full flex-col">
<p className="mb-2 text-xs font-medium uppercase tracking-wide text-muted-foreground">
{mode === 'learn' ? 'Learning edges' : mode === 'all' ? 'Whole graph' : 'Risk path'}
</p>
<h3 className="mb-2 font-heading text-base font-medium">What you're looking at</h3>
<p className="text-sm leading-relaxed text-muted-foreground">{modeBlurb(mode)}</p>
<p className="mt-3 text-sm leading-relaxed text-muted-foreground">
Click any node to trace its{' '}
<span className="font-medium" style={{ color: VIOLET }}>
flow
</span>{' '}
what PodMan saw, flagged, and learned. Drag to rearrange.
</p>
</div>
);
}
return (
<div className="flex h-full flex-col">
<p className="text-xs font-medium uppercase tracking-wide text-muted-foreground">
{node.kind}
</p>
<h3 className="mb-2 mt-0.5 font-heading text-lg font-medium">{node.label}</h3>
<div className="flex items-center justify-between border-b py-1.5 text-sm text-muted-foreground">
<span>Status</span>
<Badge variant="outline" style={{ color: statusColor(node.status) }}>
{node.status}
</Badge>
</div>
<div className="flex items-center justify-between border-b py-1.5 text-sm text-muted-foreground">
<span>Relationships</span>
<span className="font-medium text-foreground">{relCount}</span>
</div>
{flow && (
<>
<p className="mt-2.5 text-[0.7rem] font-medium uppercase tracking-wide text-muted-foreground">
Flow
</p>
<p className="mt-1 text-sm leading-relaxed text-foreground/90">{flow}</p>
</>
)}
{node.summary && node.summary !== flow && (
<p className="mt-2 text-xs leading-relaxed text-muted-foreground">{node.summary}</p>
)}
</div>
);
}
+210
View File
@@ -0,0 +1,210 @@
import type { CSSProperties } from 'react';
import type {
PodGraph,
PodGraphNode,
PodGraphEdge,
PodGraphNodeKind,
PodGraphActivityKind,
} from '@podman/shared';
/**
* Fixed, light-readable hues for the node/edge encoding. Kept stable across
* light/dark so kinds stay distinguishable; only the chrome uses shadcn tokens.
*/
export const BLUE = '#2563eb';
export const SLATE = '#475569';
export const SLATE_EDGE = '#94a3b8';
export const SLATE_FAINT = '#cbd5e1';
export const AMBER = '#d97706';
export const RED = '#dc2626';
export const VIOLET = '#7c3aed';
export const GREEN = '#16a34a';
/** Tag color + short label per activity-stream kind. */
export const ACTIVITY_TAG: Record<PodGraphActivityKind, { color: string; label: string }> = {
editing: { color: SLATE, label: 'EDITING' },
collision: { color: RED, label: 'COLLISION' },
intervention: { color: AMBER, label: 'NUDGE' },
outcome: { color: GREEN, label: 'OUTCOME' },
learned: { color: VIOLET, label: 'LEARNED' },
agent: { color: BLUE, label: 'AGENT' },
};
export const KIND_COLOR: Record<PodGraphNodeKind, string> = {
engineer: BLUE,
file: SLATE,
feature: AMBER,
collision: RED,
intervention: VIOLET,
};
export interface EdgeStyle {
c: string;
w: number;
dash?: boolean;
}
export const EDGE: Record<PodGraphEdge['kind'], EdgeStyle> = {
owns: { c: BLUE, w: 2.4 },
editing: { c: SLATE_EDGE, w: 1.9 },
touches: { c: SLATE_FAINT, w: 1.5 },
collides: { c: RED, w: 2.8 },
warns: { c: AMBER, w: 2.8 },
learned_from: { c: VIOLET, w: 2.4, dash: true },
};
/** Collision/drawing radius for a node — scaled by its 0..1 weight. */
export function nodeRadius(node: PodGraphNode): number {
const base = node.kind === 'collision' || node.kind === 'intervention' ? 14 : 13;
return base + Math.max(0, Math.min(1, node.weight)) * 7;
}
export function statusColor(status: string): string {
if (status === 'risk') return RED;
if (status === 'learned') return VIOLET;
if (status === 'active') return BLUE;
return 'var(--muted-foreground)';
}
export type Mode = 'risk' | 'learn' | 'all';
export interface Highlight {
nodes: Set<string>;
edges: Set<string>;
}
/**
* The lit set for the current mode/selection. A selected node lights its
* incident edges + neighbors; otherwise the mode lights the risk or learning
* chain (collision intervention learned_from). `all` lights everything.
*/
export function highlightFor(graph: PodGraph, mode: Mode, selected: string | null): Highlight | null {
if (selected) {
const es = graph.edges.filter((e) => e.source === selected || e.target === selected);
return {
nodes: new Set([selected, ...es.flatMap((e) => [e.source, e.target])]),
edges: new Set(es.map((e) => e.id)),
};
}
if (mode === 'all') return null;
const kinds: PodGraphEdge['kind'][] =
mode === 'risk' ? ['collides', 'warns', 'learned_from'] : ['learned_from', 'warns'];
const collisions = new Set(graph.nodes.filter((n) => n.kind === 'collision').map((n) => n.id));
const es = graph.edges.filter(
(e) =>
kinds.includes(e.kind) ||
(mode === 'risk' && (collisions.has(e.target) || collisions.has(e.source))),
);
return {
nodes: new Set(es.flatMap((e) => [e.source, e.target])),
edges: new Set(es.map((e) => e.id)),
};
}
function joinNames(ids: string[], label: (id: string) => string): string {
const u = [...new Set(ids)].map(label);
if (u.length <= 1) return u[0] ?? '';
if (u.length === 2) return `${u[0]} and ${u[1]}`;
return `${u.slice(0, -1).join(', ')} and ${u[u.length - 1]}`;
}
/**
* A plain-English walk of the flow through a node what PodMan saw, flagged,
* suggested, and learned so clicking a node explains the path, not just shows
* attributes. Built by traversing the node's incident edges.
*/
export function flowNarrative(graph: PodGraph, nodeId: string): string {
const byId = new Map(graph.nodes.map((n) => [n.id, n]));
const node = byId.get(nodeId);
if (!node) return '';
const label = (id: string): string => byId.get(id)?.label ?? id;
const out = graph.edges.filter((e) => e.source === nodeId);
const inc = graph.edges.filter((e) => e.target === nodeId);
switch (node.kind) {
case 'engineer': {
const edits = out.filter((e) => e.kind === 'editing').map((e) => e.target);
const collisions = out.filter((e) => e.kind === 'collides');
const owns = out.filter((e) => e.kind === 'owns').map((e) => label(e.target));
const learned = inc.some((e) => e.kind === 'learned_from');
const parts: string[] = [];
if (edits.length) parts.push(`${node.label} is working in ${joinNames(edits, label)}.`);
if (collisions.length)
parts.push(
`PodMan flagged ${collisions.length} overlap${collisions.length === 1 ? '' : 's'} involving ${node.label}.`,
);
if (learned)
parts.push(
`From an accepted intervention PodMan learned ${node.label} owns ${owns[0] ?? 'this file'} — retained across sessions.`,
);
else if (owns.length) parts.push(`PodMan has ${node.label} owning ${joinNames(owns, (s) => s)}.`);
return parts.join(' ') || `${node.label} has no active flow right now.`;
}
case 'file': {
const editors = inc.filter((e) => e.kind === 'editing' || e.kind === 'owns').map((e) => e.source);
const hasCollision = out.some((e) => e.kind === 'touches');
const parts: string[] = [];
if (editors.length) parts.push(`${node.label} is being edited by ${joinNames(editors, label)}.`);
if (hasCollision)
parts.push('Two of those edits overlap before push, so PodMan opened a collision on it.');
return parts.join(' ') || node.summary || node.label;
}
case 'collision': {
const engineers = inc.filter((e) => e.kind === 'collides').map((e) => e.source);
const fileEdge = inc.find((e) => e.kind === 'touches');
const file = fileEdge ? label(fileEdge.source) : 'the same file';
const intervention = out.find((e) => e.kind === 'warns');
let s = `${joinNames(engineers, label) || 'Two engineers'} are both editing ${file} before pushing — the overlap git can't see.`;
if (intervention) s += ` PodMan stepped in and suggested a ${label(intervention.target)}.`;
return s;
}
case 'intervention': {
const colEdge = inc.find((e) => e.kind === 'warns');
const learned = out.find((e) => e.kind === 'learned_from');
// Resolve the collision's underlying file via its touches edge (file → collision).
let file = '';
if (colEdge) {
const fileEdge = graph.edges.find((e) => e.kind === 'touches' && e.target === colEdge.source);
file = fileEdge ? label(fileEdge.source) : '';
}
let s = `PodMan offered a ${node.label}${file ? ` for the overlap on ${file}` : ''}.`;
if (learned)
s += ` The pod accepted it, so PodMan learned ${label(learned.target)} owns ${file || 'the file'} — the graph got sharper.`;
return s;
}
case 'feature': {
const contributors = inc.filter((e) => e.kind === 'owns' || e.kind === 'touches').map((e) => e.source);
return contributors.length
? `${node.label} is built on work by ${joinNames(contributors, label)}.`
: node.summary || node.label;
}
default:
return node.summary ?? '';
}
}
/** Short explainer for the current view when nothing is selected. */
export function modeBlurb(mode: Mode): string {
if (mode === 'learn')
return 'The violet learned_from links are ownership PodMan kept from accepted interventions — the graph sharpens every session.';
if (mode === 'all')
return 'Everyone, every file, and every collision and intervention PodMan is tracking for this pod.';
return 'The lit path: files where two editors collide before push → the nudge PodMan sent → what it learned.';
}
export const NODE_LEGEND: Array<{ label: string; swatch: CSSProperties }> = [
{ label: 'engineer', swatch: { background: BLUE } },
{ label: 'file', swatch: { border: `2px solid ${SLATE}` } },
{ label: 'feature', swatch: { background: AMBER, borderRadius: '50%' } },
{ label: 'collision', swatch: { background: RED, clipPath: 'polygon(50% 0,100% 100%,0 100%)' } },
{ label: 'intervention', swatch: { background: VIOLET, transform: 'rotate(45deg)' } },
];
export const EDGE_LEGEND: Array<{ label: string; color: string; dash?: boolean }> = [
{ label: 'collides', color: RED },
{ label: 'warns', color: AMBER },
{ label: 'learned_from', color: VIOLET, dash: true },
{ label: 'owns', color: BLUE },
{ label: 'editing', color: SLATE_EDGE },
{ label: 'touches', color: SLATE_FAINT },
];
+284
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@@ -0,0 +1,284 @@
/**
* A tiny dependency-free force-directed layout the same family of forces as
* d3-force (charge repulsion, link springs, centering, collision) integrated
* with velocity-Verlet and an annealing `alpha`. Kept in-house so the dynamic
* graph adds no new package / lockfile churn to a fast-moving shared `main`.
*
* Usage: `setData()` (diff-preserving existing nodes keep their position),
* then drive `tick()` from a requestAnimationFrame loop until `settled()`.
*/
export interface SimNodeInput {
id: string;
/** Drawing/collision radius. */
radius: number;
/** Initial position hint (e.g. the server layout), used only for new nodes. */
seedX: number;
seedY: number;
}
export interface SimLinkInput {
source: string;
target: string;
/** Preferred rest length of the spring. */
distance: number;
/** 0..1 spring strength. */
strength: number;
}
export interface SimNode {
id: string;
x: number;
y: number;
vx: number;
vy: number;
/** When non-null the node is pinned (dragged) and forces don't move it. */
fx: number | null;
fy: number | null;
radius: number;
}
const ALPHA_MIN = 0.001;
const ALPHA_DECAY = 1 - Math.pow(ALPHA_MIN, 1 / 300); // settle in ~300 ticks
const FRICTION = 0.62; // velocity retained per tick
const REPEL = 4400; // charge repulsion strength — must dominate centering or the graph collapses
const LINK_K = 0.45; // spring stiffness multiplier
const CENTER_STRENGTH = 0.014; // gentle positional pull — only keeps the cloud roughly centered
const RECENTER = 0.5; // per-tick centroid recentering (no compression, keeps graph framed)
const COLLIDE_PAD = 12;
const COLLIDE_STRENGTH = 1; // hard separation so linked nodes never stack
const COLLIDE_ITERS = 2;
const BOUND_PAD = 30; // keep nodes this far inside the canvas edges
export class ForceSim {
nodes: SimNode[] = [];
links: SimLinkInput[] = [];
alpha = 1;
private byId = new Map<string, SimNode>();
private alphaTarget = 0;
private center: { x: number; y: number };
private width: number;
private height: number;
constructor(width: number, height: number) {
this.width = width;
this.height = height;
this.center = { x: width / 2, y: height / 2 };
}
settled(): boolean {
return this.alpha < ALPHA_MIN && this.alphaTarget === 0;
}
reheat(a = 0.7): void {
this.alpha = Math.max(this.alpha, a);
}
/** Hold the simulation warm while dragging, then release. */
setActive(active: boolean): void {
this.alphaTarget = active ? 0.18 : 0;
if (active) this.reheat(0.25);
}
get(id: string): SimNode | undefined {
return this.byId.get(id);
}
pin(id: string, x: number, y: number): void {
const n = this.byId.get(id);
if (n) {
n.fx = x;
n.fy = y;
}
}
unpin(id: string): void {
const n = this.byId.get(id);
if (n) {
n.fx = null;
n.fy = null;
}
}
/** Replace the graph, preserving the positions/pins of nodes that persist. */
setData(nodeInputs: SimNodeInput[], linkInputs: SimLinkInput[]): { added: string[] } {
const prev = this.byId;
const next = new Map<string, SimNode>();
const added: string[] = [];
for (const inp of nodeInputs) {
const old = prev.get(inp.id);
if (old) {
old.radius = inp.radius;
next.set(inp.id, old);
} else {
next.set(inp.id, {
id: inp.id,
x: inp.seedX + (Math.random() - 0.5) * 14,
y: inp.seedY + (Math.random() - 0.5) * 14,
vx: 0,
vy: 0,
fx: null,
fy: null,
radius: inp.radius,
});
added.push(inp.id);
}
}
this.byId = next;
this.nodes = [...next.values()];
this.links = linkInputs.filter((l) => next.has(l.source) && next.has(l.target));
return { added };
}
/** Advance one step. Returns false when already settled (no work done). */
tick(): boolean {
if (this.settled()) return false;
this.alpha += (this.alphaTarget - this.alpha) * ALPHA_DECAY;
const a = this.alpha;
this.applyCharge(a);
this.applyLinks(a);
this.applyCenter(a);
for (let k = 0; k < COLLIDE_ITERS; k++) this.applyCollide();
const maxX = this.width - BOUND_PAD;
const maxY = this.height - BOUND_PAD;
for (const n of this.nodes) {
if (n.fx != null) {
n.x = n.fx;
n.vx = 0;
} else {
n.vx *= FRICTION;
n.x += n.vx;
if (n.x < BOUND_PAD) {
n.x = BOUND_PAD;
n.vx = 0;
} else if (n.x > maxX) {
n.x = maxX;
n.vx = 0;
}
}
if (n.fy != null) {
n.y = n.fy;
n.vy = 0;
} else {
n.vy *= FRICTION;
n.y += n.vy;
if (n.y < BOUND_PAD) {
n.y = BOUND_PAD;
n.vy = 0;
} else if (n.y > maxY) {
n.y = maxY;
n.vy = 0;
}
}
}
return true;
}
private applyCharge(alpha: number): void {
const ns = this.nodes;
for (let i = 0; i < ns.length; i++) {
const a = ns[i];
if (!a) continue;
for (let j = i + 1; j < ns.length; j++) {
const b = ns[j];
if (!b) continue;
let dx = b.x - a.x;
let dy = b.y - a.y;
let d2 = dx * dx + dy * dy;
if (d2 === 0) {
dx = (j - i) * 0.5;
dy = (i + 1) * 0.4;
d2 = dx * dx + dy * dy;
}
const dist = Math.sqrt(d2);
const force = (REPEL * alpha) / d2;
const ux = dx / dist;
const uy = dy / dist;
a.vx -= ux * force;
a.vy -= uy * force;
b.vx += ux * force;
b.vy += uy * force;
}
}
}
private applyLinks(alpha: number): void {
for (const link of this.links) {
const s = this.byId.get(link.source);
const t = this.byId.get(link.target);
if (!s || !t) continue;
let dx = t.x - s.x;
let dy = t.y - s.y;
let d2 = dx * dx + dy * dy;
if (d2 === 0) {
dx = 0.5;
dy = 0.5;
d2 = 0.5;
}
const dist = Math.sqrt(d2);
const k = ((dist - link.distance) / dist) * alpha * link.strength * LINK_K;
const mx = dx * k * 0.5;
const my = dy * k * 0.5;
s.vx += mx;
s.vy += my;
t.vx -= mx;
t.vy -= my;
}
}
private applyCenter(alpha: number): void {
const n = this.nodes.length;
if (!n) return;
// Recenter the whole cloud so its centroid sits at canvas center (this does
// NOT compress the layout — repulsion/links set the spread), plus a gentle
// positional pull so stray/isolated nodes don't park against the edge.
let cx = 0;
let cy = 0;
for (const nd of this.nodes) {
cx += nd.x;
cy += nd.y;
}
cx = (this.center.x - cx / n) * RECENTER;
cy = (this.center.y - cy / n) * RECENTER;
for (const nd of this.nodes) {
if (nd.fx == null) {
nd.x += cx;
nd.vx += (this.center.x - nd.x) * CENTER_STRENGTH * alpha;
}
if (nd.fy == null) {
nd.y += cy;
nd.vy += (this.center.y - nd.y) * CENTER_STRENGTH * alpha;
}
}
}
private applyCollide(): void {
const ns = this.nodes;
for (let i = 0; i < ns.length; i++) {
const a = ns[i];
if (!a) continue;
for (let j = i + 1; j < ns.length; j++) {
const b = ns[j];
if (!b) continue;
let dx = b.x - a.x;
let dy = b.y - a.y;
const d2 = dx * dx + dy * dy;
const min = a.radius + b.radius + COLLIDE_PAD;
if (d2 >= min * min) continue;
let dist = Math.sqrt(d2);
if (dist === 0) {
dx = j - i;
dy = i + 1;
dist = Math.sqrt(dx * dx + dy * dy) || 1;
}
const push = ((min - dist) / dist) * 0.5 * COLLIDE_STRENGTH;
const ox = dx * push;
const oy = dy * push;
if (a.fx == null) a.x -= ox;
if (a.fy == null) a.y -= oy;
if (b.fx == null) b.x += ox;
if (b.fy == null) b.y += oy;
}
}
}
}
+63
View File
@@ -0,0 +1,63 @@
import { useEffect, useMemo, useState } from 'react';
import type { PodActivityEvent } from '@podman/shared';
import { getPodActivity, podActivityStreamUrl } from '../lib/api';
export function usePodActivity(podId: string | null, me: string) {
const [events, setEvents] = useState<PodActivityEvent[]>([]);
const [connected, setConnected] = useState(false);
const [error, setError] = useState<string | null>(null);
useEffect(() => {
if (!podId) return;
let alive = true;
const load = async () => {
try {
const snapshot = await getPodActivity(podId);
if (alive) {
setEvents(snapshot);
setError(null);
}
} catch (e) {
if (alive) setError((e as Error).message);
}
};
void load();
const source = new EventSource(podActivityStreamUrl(podId));
source.addEventListener('open', () => {
if (alive) setConnected(true);
});
source.addEventListener('snapshot', (event) => {
if (!alive) return;
setEvents(JSON.parse((event as MessageEvent<string>).data) as PodActivityEvent[]);
setConnected(true);
setError(null);
});
source.addEventListener('error', () => {
if (alive) {
setConnected(false);
setError('Realtime activity stream reconnecting');
}
});
return () => {
alive = false;
source.close();
};
}, [podId]);
return useMemo(() => {
const mine = events.filter((event) => belongsTo(event, me));
const team = events.filter((event) => !belongsTo(event, me));
return { events, mine, team, connected, error };
}, [connected, error, events, me]);
}
function belongsTo(event: PodActivityEvent, me: string): boolean {
const normalized = me.trim().toLowerCase();
if (!normalized) return false;
const names = [event.actor, ...(event.actors ?? [])]
.filter(Boolean)
.map((name) => name!.trim().toLowerCase());
return names.includes(normalized);
}
+111 -1
View File
@@ -1,4 +1,12 @@
import type { InterventionOutcome, Pod, PodInput } from '@podman/shared';
import type {
InterventionOutcome,
HermesJob,
HermesJobEvent,
MemberWorkHistory,
Pod,
PodActivityEvent,
PodInput,
} from '@podman/shared';
const BACKEND_URL =
import.meta.env.VITE_BACKEND_URL ||
@@ -13,6 +21,19 @@ export interface MemoryStats {
outcomes: number;
}
export interface LiveConversationSession {
sessionId: string;
podId: string;
identity: string;
displayName: string;
room: string;
url: string;
token: string;
startedAt: string;
lastEventAt?: string;
endedAt?: string;
}
async function json<T>(res: Response): Promise<T> {
if (!res.ok) {
const body = (await res.json().catch(() => ({}))) as { error?: string };
@@ -75,6 +96,34 @@ export async function getMemoryStats(): Promise<MemoryStats> {
return json(await fetch(`${BACKEND_URL}/api/memory/stats`));
}
export async function getPodActivity(id: string, limit = 80): Promise<PodActivityEvent[]> {
return json(
await fetch(`${BACKEND_URL}/api/pods/${encodeURIComponent(id)}/activity?limit=${limit}`),
);
}
export function podActivityStreamUrl(id: string): string {
return `${BACKEND_URL}/api/pods/${encodeURIComponent(id)}/activity/stream`;
}
/** URL of the pod's generated background-music MP3 (looped client-side). */
export function podMusicUrl(id: string): string {
return `${BACKEND_URL}/api/pods/${encodeURIComponent(id)}/music`;
}
export async function getMemberWorkHistory(
podId: string,
member: string,
): Promise<MemberWorkHistory> {
return json(
await fetch(
`${BACKEND_URL}/api/pods/${encodeURIComponent(podId)}/members/${encodeURIComponent(
member,
)}/history?hours=24&limit=80`,
),
);
}
export async function createPod(input: PodInput): Promise<Pod> {
return json(
await fetch(`${BACKEND_URL}/api/pods`, {
@@ -112,6 +161,67 @@ export async function addMember(id: string, name: string): Promise<Pod> {
);
}
export async function testPodVoice(id: string): Promise<void> {
const res = await fetch(`${BACKEND_URL}/api/pods/${encodeURIComponent(id)}/voice-test`, {
method: 'POST',
headers: { 'content-type': 'application/json' },
body: JSON.stringify({
message: 'PodMan voice test. Gemini TTS is playing through LiveKit.',
}),
});
if (!res.ok) throw new Error(`voice test failed: ${res.status}`);
}
export async function startLiveConversation(
podId: string,
input: { identity: string; displayName?: string },
): Promise<LiveConversationSession> {
return json(
await fetch(`${BACKEND_URL}/api/pods/${encodeURIComponent(podId)}/live-conversation/start`, {
method: 'POST',
headers: { 'content-type': 'application/json' },
body: JSON.stringify(input),
}),
);
}
export async function stopLiveConversation(podId: string, sessionId: string): Promise<void> {
const res = await fetch(
`${BACKEND_URL}/api/pods/${encodeURIComponent(
podId,
)}/live-conversation/${encodeURIComponent(sessionId)}/stop`,
{ method: 'POST' },
);
if (!res.ok) throw new Error(`live conversation stop failed: ${res.status}`);
}
export async function getLiveConversationHermesJob(
podId: string,
sessionId: string,
): Promise<{ job: HermesJob | null; events: HermesJobEvent[] }> {
return json(
await fetch(
`${BACKEND_URL}/api/pods/${encodeURIComponent(
podId,
)}/live-conversation/${encodeURIComponent(sessionId)}/hermes-job`,
),
);
}
export async function abortLiveConversationHermesJob(
podId: string,
sessionId: string,
): Promise<{ job: HermesJob | null }> {
return json(
await fetch(
`${BACKEND_URL}/api/pods/${encodeURIComponent(
podId,
)}/live-conversation/${encodeURIComponent(sessionId)}/hermes-job/abort`,
{ method: 'POST' },
),
);
}
export async function removeMember(id: string, name: string): Promise<Pod> {
return json(
await fetch(
+39
View File
@@ -75,3 +75,42 @@ export function startBeat(): BeatHandle {
},
};
}
/**
* Load an MP3 from `url` and loop it as an audio MediaStreamTrack to publish into
* a LiveKit room (and play on local speakers). Used for pod background music
* (Lyria-generated). Pure Web Audio no asset bundling.
*/
export async function startMusic(url: string): Promise<BeatHandle> {
const ctx = new AudioContext();
await ctx.resume();
const res = await fetch(url);
if (!res.ok) throw new Error(`music fetch failed: ${res.status}`);
const buffer = await ctx.decodeAudioData(await res.arrayBuffer());
const dest = ctx.createMediaStreamDestination();
const master = ctx.createGain();
master.gain.value = 0.6;
master.connect(dest); // -> published track (remote listeners)
master.connect(ctx.destination); // -> local speakers (publisher)
const src = ctx.createBufferSource();
src.buffer = buffer;
src.loop = true;
src.connect(master);
src.start();
const track = dest.stream.getAudioTracks()[0]!;
return {
track,
stop: () => {
try {
src.stop();
} catch {
/* already stopped */
}
track.stop();
void ctx.close();
},
};
}
+5
View File
@@ -8,3 +8,8 @@ export async function fetchPodGraph(podId: string): Promise<PodGraph> {
if (!res.ok) throw new Error(`graph request failed: ${res.status}`);
return res.json() as Promise<PodGraph>;
}
/** WebSocket URL for the live event bus — used to nudge the graph to refetch. */
export function backendEventsUrl(): string {
return `${BACKEND_URL.replace(/^http/, 'ws')}/api/events`;
}
+150
View File
@@ -0,0 +1,150 @@
import { useCallback, useEffect, useRef, useState } from 'react';
import { RoomEvent, type Room } from 'livekit-client';
import { DATA_TOPIC, type DataMessage } from '@podman/shared';
import { startBeat, startMusic, type BeatHandle } from '../lib/beat.js';
/** Name of the test-audio track; its presence in the room IS the shared state. */
export const BEAT_TRACK = 'podman-beat';
export interface BeatState {
/** Is the test audio playing anywhere in the pod? */
on: boolean;
/** Display name of the participant who started it (the owner). */
by: string | null;
/** Do I own the beat track (so I can stop it directly)? */
mine: boolean;
}
const OFF: BeatState = { on: false, by: null, mine: false };
/**
* Shared, pod-wide test audio. One participant publishes the `podman-beat`
* track; everyone hears it and sees the same on/off state, derived directly
* from the track's presence (self-syncing across joins/leaves). Any participant
* can stop it: non-owners send BEAT_STOP and the owner unpublishes.
*/
export function useBeat(room: Room | null, musicUrl?: string) {
const [beat, setBeat] = useState<BeatState>(OFF);
const beatRef = useRef<BeatHandle | null>(null);
const stopLocal = useCallback(async () => {
const handle = beatRef.current;
if (!handle) return;
beatRef.current = null;
try {
await room?.localParticipant.unpublishTrack(handle.track);
} finally {
handle.stop();
}
}, [room]);
// Derive the shared state from the podman-beat track across all participants.
useEffect(() => {
if (!room) {
setBeat(OFF);
return;
}
const recompute = () => {
const lp = room.localParticipant;
const localPub = [...lp.trackPublications.values()].find((p) => p.trackName === BEAT_TRACK);
if (localPub) {
setBeat({ on: true, by: lp.name || lp.identity, mine: true });
return;
}
for (const p of room.remoteParticipants.values()) {
const pub = [...p.trackPublications.values()].find((tp) => tp.trackName === BEAT_TRACK);
if (pub) {
setBeat({ on: true, by: p.name || p.identity, mine: false });
return;
}
}
setBeat(OFF);
};
recompute();
const events = [
RoomEvent.LocalTrackPublished,
RoomEvent.LocalTrackUnpublished,
RoomEvent.TrackPublished,
RoomEvent.TrackUnpublished,
RoomEvent.TrackSubscribed,
RoomEvent.TrackUnsubscribed,
RoomEvent.ParticipantConnected,
RoomEvent.ParticipantDisconnected,
] as const;
events.forEach((e) => room.on(e, recompute));
return () => {
events.forEach((e) => room.off(e, recompute));
};
}, [room]);
// The owner honors stop requests from any participant.
useEffect(() => {
if (!room) return;
const onData = (payload: Uint8Array, _p: unknown, _k: unknown, topic?: string) => {
if (topic !== DATA_TOPIC) return;
let msg: DataMessage;
try {
msg = JSON.parse(new TextDecoder().decode(payload)) as DataMessage;
} catch {
return;
}
if (msg.type === 'BEAT_STOP') void stopLocal();
};
room.on(RoomEvent.DataReceived, onData);
return () => {
room.off(RoomEvent.DataReceived, onData);
};
}, [room, stopLocal]);
// Tear down my own track on unmount (e.g. leaving the pod).
const stopLocalRef = useRef(stopLocal);
stopLocalRef.current = stopLocal;
const startingRef = useRef(false);
const unmountedRef = useRef(false);
useEffect(() => {
return () => {
unmountedRef.current = true;
void stopLocalRef.current();
};
}, []);
const toggleBeat = useCallback(async () => {
if (!room) return;
// `beatRef` is the synchronous source of truth for "do I own it" — `beat.mine`
// lags behind the LiveKit track events that recompute it, so gate on the ref.
if (beatRef.current) {
await stopLocal();
return;
}
if (beat.on) {
// Someone else owns it — can't unpublish their track, so ask them to stop.
await room.startAudio().catch(() => {});
await room.localParticipant.publishData(
new TextEncoder().encode(JSON.stringify({ type: 'BEAT_STOP' } satisfies DataMessage)),
{ reliable: true, topic: DATA_TOPIC },
);
return;
}
// Start it. Guard against rapid double-clicks publishing two tracks before the
// LocalTrackPublished event has had a chance to update state.
if (startingRef.current) return;
startingRef.current = true;
try {
await room.startAudio().catch(() => {}); // unlock playback from this gesture
if (unmountedRef.current) return;
const handle = musicUrl ? await startMusic(musicUrl) : startBeat();
beatRef.current = handle;
await room.localParticipant.publishTrack(handle.track, { name: BEAT_TRACK });
if (unmountedRef.current) await stopLocal(); // left mid-publish — clean up
} catch (e) {
beatRef.current?.stop();
beatRef.current = null;
throw e;
} finally {
startingRef.current = false;
}
}, [room, beat, stopLocal, musicUrl]);
return { beat, toggleBeat };
}
+28 -2
View File
@@ -4,6 +4,27 @@ import type { DataMessage, HermesMessage, Intervention, InterventionStatus } fro
import { DATA_TOPIC } from '@podman/shared';
import { createSyncPr, postOutcome } from '../lib/api';
const browserTtsFallbackEnabled = import.meta.env.VITE_ENABLE_BROWSER_TTS_FALLBACK === 'true';
/** Speak a cue in the browser only when the explicit fallback flag is enabled. */
export function speakInBrowser(text: string): void {
if (!browserTtsFallbackEnabled) return;
if (typeof window === 'undefined' || !('speechSynthesis' in window) || !text) return;
const u = new SpeechSynthesisUtterance(text);
u.rate = 1.05;
window.speechSynthesis.cancel(); // drop any queued cue so the latest wins
window.speechSynthesis.speak(u);
}
/** Unlock speechSynthesis from a user gesture when the browser fallback is enabled. */
export function primeSpeech(): void {
if (!browserTtsFallbackEnabled) return;
if (typeof window === 'undefined' || !('speechSynthesis' in window)) return;
const u = new SpeechSynthesisUtterance(' ');
u.volume = 0;
window.speechSynthesis.speak(u);
}
export function useInterventions(room: Room | null) {
const [active, setActive] = useState<Intervention | null>(null);
const [hermes, setHermes] = useState<HermesMessage | null>(null);
@@ -20,7 +41,10 @@ export function useInterventions(room: Room | null) {
setActionUrl(null);
}
if (msg.type === 'HERMES_MESSAGE') setHermes(msg.message);
if (msg.type === 'VOICE_CUE') setVoiceCue(msg.text);
if (msg.type === 'VOICE_CUE') {
setVoiceCue(msg.text);
speakInBrowser(msg.text);
}
};
room.on(RoomEvent.DataReceived, onData);
return () => {
@@ -42,7 +66,9 @@ export function useInterventions(room: Room | null) {
interventionId: active.id,
collisionId: active.collisionId,
podId: active.podId,
wasRealCollision: true,
// Placeholder only — the backend derives the authoritative value from
// git overlap at outcome time (the client cannot know). (RSI Step 3)
wasRealCollision: false,
accepted,
recordedAt: new Date().toISOString(),
});
+5 -9
View File
@@ -1,18 +1,14 @@
import { defineConfig } from 'vite';
import react from '@vitejs/plugin-react';
import tailwindcss from '@tailwindcss/vite';
import { VitePWA } from 'vite-plugin-pwa';
import { fileURLToPath, URL } from 'node:url';
export default defineConfig({
plugins: [
react(),
tailwindcss(),
// Self-destroying during active development: unregisters any previously
// installed service worker and clears its caches so deploys are always
// fresh (no stale UI). Re-enable a precaching PWA before the demo.
VitePWA({ selfDestroying: true }),
],
// No service worker in production. We deploy continuously during the event and
// any SW (even vite-plugin-pwa's self-destroying one) forces open tabs to
// reload, which breaks the live demo. Existing SWs are torn down by the
// cleanup snippet in index.html. Re-add a precaching PWA only post-event.
plugins: [react(), tailwindcss()],
server: {
port: 5173,
},
+2
View File
@@ -49,6 +49,7 @@ services:
- { key: GEMINI_API_KEY, scope: RUN_TIME, type: SECRET }
- { key: GEMINI_VISION_MODEL, scope: RUN_TIME, value: gemini-2.0-flash }
- { key: GEMINI_LIVE_MODEL, scope: RUN_TIME, value: gemini-3.1-flash-tts-preview }
- { key: GEMINI_TTS_VOICE, scope: RUN_TIME, value: Charon }
- { key: GEMINI_EMBEDDING_MODEL, scope: RUN_TIME, value: gemini-embedding-001 }
- { key: GITHUB_TOKEN, scope: RUN_TIME, type: SECRET }
- { key: GITHUB_REPO, scope: RUN_TIME, value: karti-ai/podman }
@@ -75,6 +76,7 @@ workers:
- { key: GEMINI_API_KEY, scope: RUN_TIME, type: SECRET }
- { key: GEMINI_VISION_MODEL, scope: RUN_TIME, value: gemini-2.0-flash }
- { key: GEMINI_LIVE_MODEL, scope: RUN_TIME, value: gemini-3.1-flash-tts-preview }
- { key: GEMINI_TTS_VOICE, scope: RUN_TIME, value: Charon }
- { key: GEMINI_EMBEDDING_MODEL, scope: RUN_TIME, value: gemini-embedding-001 }
- { key: GITHUB_TOKEN, scope: RUN_TIME, type: SECRET }
- { key: GITHUB_REPO, scope: RUN_TIME, value: karti-ai/podman }
+4
View File
@@ -23,6 +23,10 @@ lk.165-22-129-249.sslip.io {
}
}
gemini.165-22-129-249.sslip.io {
reverse_proxy 127.0.0.1:3000
}
podman.live, www.podman.live {
route {
handle /api/* {
+2
View File
@@ -49,6 +49,7 @@ services:
- { key: GEMINI_API_KEY, scope: RUN_TIME, type: SECRET }
- { key: GEMINI_VISION_MODEL, scope: RUN_TIME, value: gemini-2.0-flash }
- { key: GEMINI_LIVE_MODEL, scope: RUN_TIME, value: gemini-3.1-flash-tts-preview }
- { key: GEMINI_TTS_VOICE, scope: RUN_TIME, value: Charon }
- { key: GEMINI_EMBEDDING_MODEL, scope: RUN_TIME, value: gemini-embedding-001 }
- { key: GITHUB_TOKEN, scope: RUN_TIME, type: SECRET }
- { key: GITHUB_REPO, scope: RUN_TIME, value: karti-ai/podman }
@@ -75,6 +76,7 @@ workers:
- { key: GEMINI_API_KEY, scope: RUN_TIME, type: SECRET }
- { key: GEMINI_VISION_MODEL, scope: RUN_TIME, value: gemini-2.0-flash }
- { key: GEMINI_LIVE_MODEL, scope: RUN_TIME, value: gemini-3.1-flash-tts-preview }
- { key: GEMINI_TTS_VOICE, scope: RUN_TIME, value: Charon }
- { key: GEMINI_EMBEDDING_MODEL, scope: RUN_TIME, value: gemini-embedding-001 }
- { key: GITHUB_TOKEN, scope: RUN_TIME, type: SECRET }
- { key: GITHUB_REPO, scope: RUN_TIME, value: karti-ai/podman }
@@ -0,0 +1,17 @@
[Unit]
Description=PodMan LiveKit Gemini starter agent
After=network-online.target
Wants=network-online.target
[Service]
Type=simple
WorkingDirectory=/root/podman/examples/livekit-gemini-hacker-starter/agent
Environment=PATH=/root/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
ExecStart=/root/.local/bin/uv run agent.py dev
Restart=always
RestartSec=3
KillSignal=SIGTERM
TimeoutStopSec=20
[Install]
WantedBy=multi-user.target
@@ -0,0 +1,18 @@
[Unit]
Description=PodMan LiveKit Gemini starter frontend
After=network-online.target
Wants=network-online.target
[Service]
Type=simple
WorkingDirectory=/root/podman/examples/livekit-gemini-hacker-starter/frontend
Environment=NODE_ENV=production
Environment=NEXT_TELEMETRY_DISABLED=1
ExecStart=/usr/bin/pnpm start --hostname 127.0.0.1 --port 3000
Restart=always
RestartSec=3
KillSignal=SIGTERM
TimeoutStopSec=20
[Install]
WantedBy=multi-user.target
@@ -0,0 +1,20 @@
[Unit]
Description=PodMan private LiveKit/Gemini live conversation agent
After=network-online.target podman-platform-api.service
Wants=network-online.target
[Service]
Type=simple
WorkingDirectory=/root/podman/agents/podman-live-conversation
Environment=PATH=/root/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
EnvironmentFile=/root/podman/backend/.env
ExecStart=/root/.local/bin/uv run agent.py dev
Restart=always
RestartSec=3
MemoryHigh=1024M
MemoryMax=1536M
KillSignal=SIGTERM
TimeoutStopSec=20
[Install]
WantedBy=multi-user.target
@@ -12,6 +12,9 @@ EnvironmentFile=/root/podman/backend/.env
ExecStart=/usr/bin/node dist/agent.js
Restart=always
RestartSec=3
MemoryHigh=1536M
MemoryMax=2G
OOMPolicy=stop
KillSignal=SIGTERM
TimeoutStopSec=20
+3
View File
@@ -22,9 +22,12 @@
"deploy:static:local": "node scripts/deploy-static-local.mjs",
"hermes:watchdog": "node scripts/hermes-watchdog.mjs",
"hermes:watchdog:strict": "node scripts/hermes-watchdog.mjs --strict",
"hermes:notify": "node scripts/hermes-notify.mjs",
"hermes:sync-deploy": "node scripts/hermes-sync-deploy.mjs",
"hermes:install": "node scripts/install-hermes-ops.mjs",
"healthcheck:public": "node scripts/healthcheck-public.mjs",
"livekit:conversation:agent": "cd agents/podman-live-conversation && uv run agent.py dev",
"livekit:conversation:test": "cd agents/podman-live-conversation && uv run pytest",
"verify": "pnpm lint && pnpm typecheck && pnpm build && pnpm verify:backend && pnpm verify:frontend",
"verify:full": "pnpm verify && pnpm verify:infra && pnpm build:container && pnpm verify:containers",
"verify:backend": "node scripts/verify-backend.mjs",
+17
View File
@@ -0,0 +1,17 @@
#!/bin/bash
REPO="/home/ramis/Programming/podman"
LOG="/home/ramis/Programming/podman/scripts/auto-pull.log"
cd "$REPO" || exit 1
# Stash any local changes, pull, pop
git fetch origin main 2>>"$LOG"
LOCAL=$(git rev-parse HEAD)
REMOTE=$(git rev-parse origin/main)
if [ "$LOCAL" != "$REMOTE" ]; then
echo "[$(date)] Pulling: $LOCAL -> $REMOTE" >> "$LOG"
git pull --ff-only origin main >> "$LOG" 2>&1
else
echo "[$(date)] Up to date" >> "$LOG"
fi
+12 -3
View File
@@ -240,6 +240,7 @@ async function checkGeminiVision() {
async function checkGeminiVoiceModel() {
const key = configuredGeminiKey();
const model = process.env.GEMINI_LIVE_MODEL ?? 'gemini-3.1-flash-tts-preview';
const voice = process.env.GEMINI_TTS_VOICE ?? 'Charon';
const res = await doFetch(
`https://generativelanguage.googleapis.com/v1beta/models?key=${encodeURIComponent(key.value)}`,
);
@@ -257,10 +258,18 @@ async function checkGeminiVoiceModel() {
method: 'POST',
headers: { 'content-type': 'application/json' },
body: JSON.stringify({
contents: [{ parts: [{ text: 'Say clearly: PodMan voice check.' }] }],
contents: [
{
parts: [
{
text: 'Speak this as a calm engineering teammate. Say only: PodMan voice check.',
},
],
},
],
generationConfig: {
responseModalities: ['AUDIO'],
speechConfig: { voiceConfig: { prebuiltVoiceConfig: { voiceName: 'Kore' } } },
speechConfig: { voiceConfig: { prebuiltVoiceConfig: { voiceName: voice } } },
},
}),
},
@@ -269,7 +278,7 @@ async function checkGeminiVoiceModel() {
const ttsBody = await tts.json();
const audio = ttsBody.candidates?.[0]?.content?.parts?.[0]?.inlineData?.data;
if (!audio) throw new Error('Gemini voice response had no audio');
return `${model}, generated ${Buffer.from(audio, 'base64').byteLength} audio bytes`;
return `${model}/${voice}, generated ${Buffer.from(audio, 'base64').byteLength} audio bytes`;
}
async function checkGeminiEmbeddings() {
+54
View File
@@ -0,0 +1,54 @@
#!/usr/bin/env node
import { existsSync } from 'node:fs';
import { config as loadEnv } from 'dotenv';
const envPath = process.env.DOTENV_CONFIG_PATH ?? (existsSync('.env') ? '.env' : 'backend/.env');
loadEnv({ path: envPath, quiet: true });
function usage() {
console.error(
'Usage: node scripts/hermes-notify.mjs --pod <podId> --message <text> [--engineers alice,bob] [--file path] [--urgent]',
);
process.exit(1);
}
function arg(name) {
const index = process.argv.indexOf(name);
return index === -1 ? '' : (process.argv[index + 1] ?? '');
}
const podId = arg('--pod');
const message = arg('--message');
if (!podId || !message) usage();
const apiBase = (
process.env.PODMAN_API_URL ??
process.env.BACKEND_URL ??
`http://127.0.0.1:${process.env.PORT ?? '8787'}`
).replace(/\/$/, '');
const engineers = arg('--engineers')
.split(',')
.map((name) => name.trim())
.filter(Boolean);
const file = arg('--file');
const urgent = process.argv.includes('--urgent');
const res = await globalThis.fetch(`${apiBase}/api/pods/${encodeURIComponent(podId)}/hermes/notify`, {
method: 'POST',
headers: { 'content-type': 'application/json' },
body: JSON.stringify({
message,
...(engineers.length ? { engineers } : {}),
...(file ? { file } : {}),
...(urgent ? { urgency: 'urgent' } : {}),
}),
});
const text = await res.text();
if (!res.ok) {
console.error(text);
process.exit(1);
}
console.log(text);
+103
View File
@@ -22,6 +22,7 @@ const env = {
GITHUB_TOKEN: process.env.GITHUB_TOKEN ?? 'verify-github',
GITHUB_REPO: process.env.GITHUB_REPO ?? 'karti-ai/podman',
MONGODB_URI: mongoUri,
INTERNAL_AGENT_TOKEN: process.env.INTERNAL_AGENT_TOKEN ?? 'verify-internal-agent-token',
};
function fail(message) {
@@ -95,6 +96,105 @@ async function verifyApi() {
);
if (!withMember.members.includes('Hermes')) fail('member add did not persist');
const hermesNotify = await json(
await doFetch(`${baseUrl}/api/pods/${encodeURIComponent(created.id)}/hermes/notify`, {
method: 'POST',
headers: { 'content-type': 'application/json' },
body: JSON.stringify({
message: 'Hermes verification notification.',
engineers: ['Alice', 'Bob'],
file: 'src/verify-hermes.ts',
dryRun: true,
}),
}),
);
if (
hermesNotify.livekit !== 'dry-run' ||
hermesNotify.intervention?.message !== 'Hermes verification notification.'
) {
fail('Hermes notify endpoint returned unexpected payload');
}
const liveConversation = await json(
await doFetch(`${baseUrl}/api/pods/${encodeURIComponent(created.id)}/live-conversation/start`, {
method: 'POST',
headers: { 'content-type': 'application/json' },
body: JSON.stringify({ identity: 'Alice', displayName: 'Alice' }),
}),
);
if (
typeof liveConversation.token !== 'string' ||
liveConversation.token.split('.').length !== 3 ||
typeof liveConversation.room !== 'string' ||
!liveConversation.room.includes('podman-live:')
) {
fail('live conversation start did not return a private room JWT');
}
const liveStatus = await json(
await doFetch(
`${baseUrl}/api/pods/${encodeURIComponent(
created.id,
)}/live-conversation/status?identity=Alice`,
),
);
if (liveStatus.active?.sessionId !== liveConversation.sessionId) {
fail('live conversation status did not return the active session');
}
await json(
await doFetch(
`${baseUrl}/api/pods/${encodeURIComponent(
created.id,
)}/live-conversation/${encodeURIComponent(liveConversation.sessionId)}/stop`,
{ method: 'POST' },
),
);
const hermesJob = await json(
await doFetch(`${baseUrl}/api/internal/hermes/jobs`, {
method: 'POST',
headers: {
'content-type': 'application/json',
authorization: `Bearer ${env.INTERNAL_AGENT_TOKEN}`,
},
body: JSON.stringify({
prompt: 'Check repository state for backend verification.',
contextScope: 'current_repo',
riskLevel: 'read_only',
successCriteria: ['Git status is inspected.'],
podId: created.id,
identity: 'Alice',
sessionId: liveConversation.sessionId,
}),
}),
);
if (!hermesJob.id || hermesJob.status !== 'queued') {
fail('Hermes job create returned unexpected payload');
}
let finalJob = hermesJob;
for (let i = 0; i < 30; i++) {
finalJob = await json(
await doFetch(`${baseUrl}/api/internal/hermes/jobs/${encodeURIComponent(hermesJob.id)}`, {
headers: { authorization: `Bearer ${env.INTERNAL_AGENT_TOKEN}` },
}),
);
if (['completed', 'failed', 'aborted'].includes(finalJob.status)) break;
await delay(500);
}
if (finalJob.status !== 'completed') {
fail(`Hermes job did not complete: ${JSON.stringify(finalJob)}`);
}
const hermesEvents = await json(
await doFetch(
`${baseUrl}/api/internal/hermes/jobs/${encodeURIComponent(hermesJob.id)}/events`,
{
headers: { authorization: `Bearer ${env.INTERNAL_AGENT_TOKEN}` },
},
),
);
if (!Array.isArray(hermesEvents) || hermesEvents.length < 1) {
fail('Hermes job events were not persisted');
}
await json(
await doFetch(`${baseUrl}/api/pods/${encodeURIComponent(created.id)}`, { method: 'DELETE' }),
);
@@ -262,6 +362,9 @@ try {
'health',
'token',
'pod-crud',
'hermes-notify',
'live-conversation-session',
'hermes-job-lifecycle',
'collision',
'memory-recall',
'graph',
+1
View File
@@ -24,6 +24,7 @@ const containerEnv = {
GEMINI_API_KEY: process.env.GEMINI_API_KEY ?? 'verify-gemini',
GEMINI_VISION_MODEL: process.env.GEMINI_VISION_MODEL ?? 'gemini-2.0-flash',
GEMINI_LIVE_MODEL: process.env.GEMINI_LIVE_MODEL ?? 'gemini-3.1-flash-tts-preview',
GEMINI_TTS_VOICE: process.env.GEMINI_TTS_VOICE ?? 'Charon',
GEMINI_EMBEDDING_MODEL: process.env.GEMINI_EMBEDDING_MODEL ?? 'gemini-embedding-001',
GITHUB_TOKEN: process.env.GITHUB_TOKEN ?? 'verify-github',
GITHUB_REPO: process.env.GITHUB_REPO ?? 'karti-ai/podman',
+170 -17
View File
@@ -21,7 +21,17 @@ const { DATA_TOPIC } = await import('../shared/dist/messages.js').catch(() => ({
DATA_TOPIC: 'podman.intervention',
}));
const backendRequire = createRequire(new URL('../backend/package.json', import.meta.url));
const { Room } = backendRequire('@livekit/rtc-node');
const {
AudioFrame,
AudioSource,
LocalAudioTrack,
Room,
TrackPublishOptions,
TrackSource,
} = backendRequire('@livekit/rtc-node');
const pods = await fetchJson('/api/pods');
const verifyPod = pods.find((pod) => pod.id === 'frontend-pod') ?? pods[0];
if (!verifyPod) throw new Error('no pods available for frontend verification');
async function stopChild(child) {
if (!child || child.exitCode !== null || child.signalCode !== null) return;
@@ -89,7 +99,7 @@ async function publishIntervention(room, podId) {
podId,
kind: 'card',
message: 'Verification collision: two engineers are editing frontend/src/App.tsx.',
suggestedAction: { kind: 'sync_before_push' },
suggestedAction: { kind: 'open_sync_pr' },
status: 'pending',
createdAt: now,
};
@@ -120,6 +130,27 @@ async function publishDataMessage(room, message) {
});
}
async function publishAudioProbe(room) {
const source = new AudioSource(24_000, 1, 5_000);
const track = LocalAudioTrack.createAudioTrack(`verify-audio-${process.pid}`, source);
const options = new TrackPublishOptions();
options.source = TrackSource.SOURCE_MICROPHONE;
const publication = await room.localParticipant.publishTrack(track, options);
await source.captureFrame(new AudioFrame(new Int16Array(24_000), 24_000, 1, 24_000));
return { source, publication };
}
async function waitForAttachedAudio(page) {
const audioSink = page.getByTestId('livekit-audio-sink');
await audioSink.waitFor({ timeout: 15_000 });
for (let i = 0; i < 30; i++) {
const count = await audioSink.locator('audio').count();
if (count > 0) return;
await delay(250);
}
throw new Error('LiveKit audio track was not attached to the hidden audio sink');
}
async function waitForInterventionCard(page, room, podId) {
const cardText = 'Verification collision: two engineers are editing frontend/src/App.tsx.';
for (let attempt = 1; attempt <= 3; attempt++) {
@@ -168,6 +199,27 @@ async function waitForPublishedScreenShare(roomName) {
);
}
async function boxOf(locator, name) {
const box = await locator.boundingBox();
if (!box) throw new Error(`${name} did not have a visible bounding box`);
return box;
}
function assertNoOverlap(left, main, right, label) {
if (left.x + left.width > main.x + 2) {
throw new Error(`${label}: left sidebar overlaps main workspace`);
}
if (main.x + main.width > right.x + 2) {
throw new Error(`${label}: right sidebar overlaps main workspace`);
}
}
function assertContained(container, child, label) {
if (child.x < container.x - 2 || child.x + child.width > container.x + container.width + 2) {
throw new Error(`${label}: body summary is not contained inside the main workspace`);
}
}
let preview = null;
if (shouldStartPreview) {
preview = spawn(
@@ -227,7 +279,9 @@ page.on('console', (msg) => {
});
page.on('pageerror', (err) => pageErrors.push(err.message));
page.on('requestfailed', (req) => {
failedRequests.push(`${req.url()} ${req.failure()?.errorText ?? ''}`.trim());
const failure = req.failure()?.errorText ?? '';
if (req.url().includes('/activity/stream') && failure.includes('ERR_ABORTED')) return;
failedRequests.push(`${req.url()} ${failure}`.trim());
});
try {
@@ -235,29 +289,113 @@ try {
await page.waitForTimeout(500);
const bodyText = await page.locator('body').innerText();
const hasPodCards =
(await page.locator('text=/Frontend Pod|Backend Pod|graph pod/i').count()) > 0;
const hasPodCards = (await page.getByText(verifyPod.name, { exact: true }).count()) > 0;
const hasOverlay = (await page.locator('vite-error-overlay, .vite-error-overlay').count()) > 0;
if (bodyText.length < 100) throw new Error('frontend rendered too little text');
if (!hasPodCards) throw new Error('pod cards did not render');
if (hasOverlay) throw new Error('Vite error overlay is visible');
await page.getByRole('button', { name: 'Team memory' }).click();
await page.getByRole('button', { name: 'Pod actions' }).first().click();
await page.getByRole('menuitem', { name: 'Team memory' }).click();
await page.getByText('Workflow metrics').waitFor({ timeout: 15_000 });
await page.getByText('Learning edges').waitFor({ timeout: 15_000 });
await page.getByRole('img', { name: 'PodMan team-memory graph' }).waitFor({ timeout: 15_000 });
await page.getByRole('button', { name: 'engineer: Karti' }).click();
await page.getByText('Learned owner of auth; backend + DB wiring.').waitFor({ timeout: 15_000 });
await page
.getByRole('button', { name: /engineer:/ })
.first()
.click();
await page.getByText('Relationships').waitFor({ timeout: 15_000 });
await page.getByRole('button', { name: 'Whole graph' }).click();
await page.getByRole('button', { name: /Pods/i }).click();
const frontendPodCard = page
.getByText('Frontend Pod', { exact: true })
const podCard = page
.getByText(verifyPod.name, { exact: true })
.locator('xpath=ancestor::*[.//input[@placeholder="Your name"]][1]');
await frontendPodCard.getByPlaceholder('Your name').fill(verifyMember);
await frontendPodCard.getByRole('button', { name: 'Add and join' }).click();
await podCard.getByPlaceholder('Your name').first().fill(verifyMember);
await podCard.getByRole('button', { name: 'Join' }).first().click();
await page.getByRole('button', { name: 'Share screen' }).waitFor({ timeout: 15_000 });
await page.getByTestId('live-conversation-toggle').waitFor({ timeout: 15_000 });
await page.getByRole('button', { name: 'Start Live Conversation' }).waitFor({
timeout: 15_000,
});
if (new URL(page.url()).pathname !== `/${verifyPod.id}`) {
throw new Error(`join did not update URL to /${verifyPod.id}: ${page.url()}`);
}
await page.getByRole('heading', { name: 'My stream' }).waitFor({ timeout: 15_000 });
await page.getByRole('heading', { name: 'Team stream' }).waitFor({ timeout: 15_000 });
const bodySummary = page.getByTestId('pod-body-summary');
const mainWorkspace = page.getByTestId('pod-main-workspace');
const mySidebar = page.getByTestId('my-stream-sidebar');
const teamSidebar = page.getByTestId('team-stream-sidebar');
await bodySummary.waitFor({ timeout: 15_000 });
await mainWorkspace.waitFor({ timeout: 15_000 });
await mySidebar.waitFor({ timeout: 15_000 });
await teamSidebar.waitFor({ timeout: 15_000 });
if ((await page.getByTestId('pod-topbar').count()) > 0) {
throw new Error('pod detail view still renders a topbar test id');
}
if ((await bodySummary.getByRole('button', { name: /stream|team/i }).count()) > 0) {
throw new Error('pod body summary contains sidebar stream/team controls');
}
const expandedLayout = {
summary: await boxOf(bodySummary, 'body summary expanded'),
main: await boxOf(mainWorkspace, 'main workspace expanded'),
left: await boxOf(mySidebar, 'my stream sidebar expanded'),
right: await boxOf(teamSidebar, 'team stream sidebar expanded'),
};
assertNoOverlap(
expandedLayout.left,
expandedLayout.main,
expandedLayout.right,
'expanded layout',
);
assertContained(expandedLayout.main, expandedLayout.summary, 'expanded layout');
await page.locator('[data-testid="my-stream-toggle"]:visible').click();
await page.waitForTimeout(300);
const leftCollapsedLayout = {
main: await boxOf(mainWorkspace, 'main workspace after left collapse'),
left: await boxOf(mySidebar, 'my stream sidebar collapsed'),
right: await boxOf(teamSidebar, 'team stream sidebar with left collapsed'),
summary: await boxOf(bodySummary, 'body summary after left collapse'),
};
if (leftCollapsedLayout.left.width >= expandedLayout.left.width - 24) {
throw new Error('my stream sidebar did not collapse into a compact rail');
}
if (leftCollapsedLayout.main.width <= expandedLayout.main.width) {
throw new Error('main workspace did not expand after my stream collapsed');
}
assertNoOverlap(
leftCollapsedLayout.left,
leftCollapsedLayout.main,
leftCollapsedLayout.right,
'left collapsed layout',
);
assertContained(leftCollapsedLayout.main, leftCollapsedLayout.summary, 'left collapsed layout');
await page.locator('[data-testid="team-stream-toggle"]:visible').click();
await page.waitForTimeout(300);
const bothCollapsedLayout = {
main: await boxOf(mainWorkspace, 'main workspace after both collapse'),
left: await boxOf(mySidebar, 'my stream sidebar with both collapsed'),
right: await boxOf(teamSidebar, 'team stream sidebar collapsed'),
summary: await boxOf(bodySummary, 'body summary after both collapse'),
};
if (bothCollapsedLayout.right.width >= expandedLayout.right.width - 24) {
throw new Error('team stream sidebar did not collapse into a compact rail');
}
if (bothCollapsedLayout.main.width <= leftCollapsedLayout.main.width) {
throw new Error('main workspace did not expand after team stream collapsed');
}
assertNoOverlap(
bothCollapsedLayout.left,
bothCollapsedLayout.main,
bothCollapsedLayout.right,
'both collapsed layout',
);
assertContained(bothCollapsedLayout.main, bothCollapsedLayout.summary, 'both collapsed layout');
await page.locator('[data-testid="my-stream-toggle"]:visible').click();
await page.locator('[data-testid="team-stream-toggle"]:visible').click();
await page.waitForTimeout(300);
const joinedText = await page.locator('body').innerText();
const hasPodView =
@@ -272,18 +410,30 @@ try {
await page.getByRole('button', { name: 'Share screen' }).click();
await page.getByRole('button', { name: 'Stop sharing' }).waitFor({ timeout: 15_000 });
await page.getByText(/Screen\s*published/i).waitFor({ timeout: 15_000 });
await waitForPublishedScreenShare('frontend-pod');
await waitForPublishedScreenShare(verifyPod.id);
await page.getByRole('button', { name: 'Stop sharing' }).click();
await page.getByRole('button', { name: 'Share screen' }).waitFor({ timeout: 15_000 });
const publisher = await connectPublisher('frontend-pod');
const publisher = await connectPublisher(verifyPod.id);
try {
const intervention = await waitForInterventionCard(page, publisher, 'frontend-pod');
const audioProbe = await publishAudioProbe(publisher);
try {
await waitForAttachedAudio(page);
} finally {
if (audioProbe.publication.sid) {
await publisher.localParticipant
.unpublishTrack(audioProbe.publication.sid, true)
.catch(() => {});
}
await audioProbe.source.close().catch(() => {});
}
const intervention = await waitForInterventionCard(page, publisher, verifyPod.id);
await publishDataMessage(publisher, {
type: 'HERMES_MESSAGE',
message: {
id: `hermes-${process.pid}`,
podId: 'frontend-pod',
podId: verifyPod.id,
interventionId: intervention.id,
recipients: ['Verify'],
text: 'Hermes verification message routed to the team.',
@@ -310,6 +460,7 @@ try {
}
await page.getByRole('button', { name: 'Leave pod' }).click();
await page.waitForURL((url) => url.pathname === '/', { timeout: 15_000 });
if (consoleErrors.length) throw new Error(`console errors: ${consoleErrors.join(' | ')}`);
if (pageErrors.length) throw new Error(`page errors: ${pageErrors.join(' | ')}`);
@@ -325,7 +476,9 @@ try {
graph: true,
joined: true,
screenShare: 'livekit-published',
audioSink: 'livekit-attached',
intervention: 'collision-hermes-voice',
podId: verifyPod.id,
member: verifyMember,
},
null,
@@ -333,7 +486,7 @@ try {
),
);
} finally {
await doFetch(`${apiBase}/api/pods/frontend-pod/members/${encodeURIComponent(verifyMember)}`, {
await doFetch(`${apiBase}/api/pods/${verifyPod.id}/members/${encodeURIComponent(verifyMember)}`, {
method: 'DELETE',
}).catch(() => {});
await browser.close();
+1
View File
@@ -62,6 +62,7 @@ const runtimeKeys = [
'GEMINI_API_KEY',
'GEMINI_VISION_MODEL',
'GEMINI_LIVE_MODEL',
'GEMINI_TTS_VOICE',
'GEMINI_EMBEDDING_MODEL',
'GITHUB_TOKEN',
'GITHUB_REPO',
+20
View File
@@ -0,0 +1,20 @@
export type PodActivityKind = 'observation' | 'git' | 'collision' | 'intervention' | 'outcome';
export type PodActivitySource = 'vision' | 'git' | 'memory' | 'hermes' | 'policy';
export type PodActivitySeverity = 'info' | 'warn' | 'critical' | 'success';
export interface PodActivityEvent {
id: string;
podId: string;
kind: PodActivityKind;
source: PodActivitySource;
title: string;
detail?: string;
actor?: string;
actors?: string[];
file?: string;
imageUrl?: string;
severity: PodActivitySeverity;
at: string;
}
+72
View File
@@ -0,0 +1,72 @@
export type AgentRunStatus =
| 'running'
| 'succeeded'
| 'failed'
| 'improved'
| 'regressed'
| 'abandoned';
export interface AgentRun {
runId: string;
podId: string;
goal: string;
trigger: string;
strategyVersionId: string;
status: AgentRunStatus;
startedAt: string;
completedAt?: string;
score?: number;
verifierSummary?: string;
inputRefs?: string[];
outputRefs?: string[];
}
export interface AgentTraceEvent {
runId: string;
podId: string;
step: number;
phase: string;
eventType: string;
inputSummary?: string;
outputSummary?: string;
toolName?: string;
error?: string;
metrics?: Record<string, number | string | boolean>;
createdAt: string;
}
export type StrategyVersionKind = 'prompt' | 'policy' | 'detector' | 'verifier' | 'routing';
export type StrategyVersionStatus = 'candidate' | 'active' | 'retired' | 'rejected';
export interface StrategyVersion {
strategyVersionId: string;
podId: string;
kind: StrategyVersionKind;
name: string;
parentVersionId?: string;
status: StrategyVersionStatus;
summary: string;
promptText?: string;
policy?: Record<string, unknown>;
verifier?: Record<string, unknown>;
metrics?: Record<string, number | string | boolean>;
createdAt: string;
promotedAt?: string;
}
export type LearningProposalStatus = 'open' | 'accepted' | 'rejected' | 'superseded';
export interface LearningProposal {
proposalId: string;
podId: string;
sourceRunId: string;
targetKind: StrategyVersionKind;
parentVersionId: string;
proposedChange: string;
rationale: string;
verifierPlan: string;
status: LearningProposalStatus;
createdAt: string;
resolvedAt?: string;
}
+8
View File
@@ -16,6 +16,14 @@ export interface Collision {
severity: CollisionSeverity;
/** Snapshot of relevant GitHub state at detection time. */
githubState?: GithubStateSnapshot;
/**
* Git ground-truth overlap captured AT detection time, while engineer_states
* are still fresh: true when every involved engineer had `file` in their git
* changedFiles. Read as the authoritative wasRealCollision evidence at outcome
* time, so a late click, a stale sidecar, or the engineer_states freshness TTL
* cannot retroactively zero it out.
*/
gitOverlap?: boolean;
detectedAt: string;
}
+2
View File
@@ -16,6 +16,8 @@ export interface EngineerContext {
hasUnpushedChanges?: boolean;
/** 01 confidence in this read of the screen. */
confidence: number;
/** Small redacted-size JPEG data URL for sidebar preview, not the full frame. */
screenshotDataUrl?: string;
/** ISO timestamp of the observation this context came from. */
observedAt: string;
}
+38 -1
View File
@@ -5,7 +5,7 @@
*
* Served embedded in the `team_model` document; mirrored into `graph_nodes` /
* `graph_edges` collections so the model can be walked with MongoDB
* `$graphLookup`. See docs/graph.md.
* `$graphLookup`. See docs/cont_learning.md.
*/
export type PodGraphNodeKind = 'engineer' | 'feature' | 'file' | 'collision' | 'intervention';
@@ -48,6 +48,41 @@ export interface PodGraphMetric {
detail: string;
}
export type PodLearningLoopStepKey = 'observe' | 'store' | 'predict' | 'outcome' | 'adapt';
export type PodLearningLoopStepStatus = 'quiet' | 'active' | 'complete' | 'planned';
export interface PodLearningLoopStep {
key: PodLearningLoopStepKey;
label: string;
value: string;
detail: string;
status: PodLearningLoopStepStatus;
}
export interface PodLearningLoop {
activeStep: PodLearningLoopStepKey;
steps: PodLearningLoopStep[];
}
export type PodGraphActivityKind =
| 'editing'
| 'collision'
| 'intervention'
| 'outcome'
| 'learned'
| 'agent';
export interface PodGraphActivity {
id: string;
at: string;
kind: PodGraphActivityKind;
title: string;
detail: string;
nodeId?: string;
edgeId?: string;
}
/** A point-in-time render of a pod's team_model. */
export interface PodGraph {
podId: string;
@@ -56,6 +91,8 @@ export interface PodGraph {
nodes: PodGraphNode[];
edges: PodGraphEdge[];
metrics: PodGraphMetric[];
loop?: PodLearningLoop;
activity?: PodGraphActivity[];
}
/** One node as a standalone document in the `graph_nodes` collection. */
+79
View File
@@ -0,0 +1,79 @@
export type HermesJobStatus =
| 'queued'
| 'running'
| 'waiting_for_confirmation'
| 'aborting'
| 'aborted'
| 'failed'
| 'completed';
export type HermesJobEventType =
| 'accepted'
| 'heartbeat'
| 'step_started'
| 'step_output'
| 'needs_confirmation'
| 'step_completed'
| 'aborted'
| 'failed'
| 'completed';
export type HermesContextScope =
| 'current_pod'
| 'current_repo'
| 'current_file'
| 'github'
| 'mongodb'
| 'terminal'
| 'full_workspace';
export type HermesRiskLevel = 'read_only' | 'safe_write' | 'commit_allowed' | 'deploy_allowed';
export interface HermesJobInput {
prompt: string;
contextScope: HermesContextScope;
targetRepository?: string;
riskLevel: HermesRiskLevel;
requiresConfirmation?: boolean;
successCriteria: string[];
podId: string;
identity: string;
sessionId: string;
conversationRoom?: string;
parentJobId?: string;
}
export interface HermesJob {
id: string;
podId: string;
identity: string;
sessionId: string;
conversationRoom?: string;
prompt: string;
contextScope: HermesContextScope;
targetRepository: string;
riskLevel: HermesRiskLevel;
requiresConfirmation: boolean;
successCriteria: string[];
parentJobId?: string;
status: HermesJobStatus;
finalSummary?: string;
error?: string;
createdAt: string;
updatedAt: string;
startedAt?: string;
completedAt?: string;
lastHeartbeatAt?: string;
abortRequestedAt?: string;
}
export interface HermesJobEvent {
id: string;
jobId: string;
podId: string;
sessionId: string;
type: HermesJobEventType;
message: string;
data?: Record<string, unknown>;
createdAt: string;
}
+38 -1
View File
@@ -1,5 +1,11 @@
export type { Pod, PodInput, Engineer } from './pod.js';
export type { EngineerContext } from './engineer.js';
export type {
PodActivityEvent,
PodActivityKind,
PodActivitySeverity,
PodActivitySource,
} from './activity.js';
export type { Collision, CollisionSeverity, GithubStateSnapshot } from './collision.js';
export type {
Intervention,
@@ -9,15 +15,46 @@ export type {
SuggestedActionKind,
} from './intervention.js';
export * from './messages.js';
export type { HermesMessage } from './messages.js';
export type { HermesMessage, LiveConversationEvent } from './messages.js';
export type {
HermesContextScope,
HermesJob,
HermesJobEvent,
HermesJobEventType,
HermesJobInput,
HermesJobStatus,
HermesRiskLevel,
} from './hermes-job.js';
export type {
PodGraph,
PodGraphNode,
PodGraphEdge,
PodGraphMetric,
PodLearningLoop,
PodLearningLoopStep,
PodLearningLoopStepKey,
PodLearningLoopStepStatus,
PodGraphActivity,
PodGraphActivityKind,
PodGraphNodeKind,
PodGraphEdgeKind,
PodGraphNodeStatus,
GraphNodeDoc,
GraphEdgeDoc,
} from './graph.js';
export type {
AgentRun,
AgentRunStatus,
AgentTraceEvent,
StrategyVersion,
StrategyVersionKind,
StrategyVersionStatus,
LearningProposal,
LearningProposalStatus,
} from './agent-learning.js';
export type {
MemberWorkHistory,
MemberWorkHistoryEvent,
MemberWorkHistoryFile,
MemberWorkHistorySource,
} from './member-history.js';
+36
View File
@@ -0,0 +1,36 @@
export type MemberWorkHistorySource = 'vision' | 'git';
export interface MemberWorkHistoryFile {
file: string;
observations: number;
gitChanges: number;
firstSeenAt: string;
lastSeenAt: string;
confidenceAvg: number | null;
activities: string[];
current: boolean;
}
export interface MemberWorkHistoryEvent {
id: string;
at: string;
source: MemberWorkHistorySource;
file: string;
title: string;
detail?: string;
confidence?: number;
}
export interface MemberWorkHistory {
podId: string;
member: string;
generatedAt: string;
windowHours: number;
totals: {
files: number;
observations: number;
gitChanges: number;
};
files: MemberWorkHistoryFile[];
timeline: MemberWorkHistoryEvent[];
}
+20 -1
View File
@@ -1,4 +1,5 @@
import type { Collision } from './collision.js';
import type { HermesJobEvent } from './hermes-job.js';
import type { Intervention, InterventionStatus } from './intervention.js';
/** Topics multiplexed over the LiveKit data channel. */
@@ -9,8 +10,12 @@ export type DataMessage =
| { type: 'COLLISION'; collision: Collision; intervention: Intervention }
| { type: 'HERMES_MESSAGE'; message: HermesMessage }
| { type: 'VOICE_CUE'; text: string }
| { type: 'LIVE_CONVERSATION_EVENT'; event: LiveConversationEvent }
| { type: 'HERMES_JOB_EVENT'; event: HermesJobEvent }
| { type: 'ACK'; interventionId: string; status: InterventionStatus; note?: string }
| { type: 'GIT_REPORT'; report: LocalGitReport };
| { type: 'GIT_REPORT'; report: LocalGitReport }
/** Any participant → the current test-audio owner: stop publishing the shared beat. */
| { type: 'BEAT_STOP' };
/** A targeted teammate/project-channel notification from the Hermes action layer. */
export interface HermesMessage {
@@ -23,6 +28,20 @@ export interface HermesMessage {
createdAt: string;
}
/** Private-room event that lets PodMan interrupt a 1:1 live conversation. */
export interface LiveConversationEvent {
id: string;
podId: string;
sessionId: string;
kind: 'critical_collision' | 'context_refresh';
severity: 'info' | 'warn' | 'critical';
summary: string;
interrupt: boolean;
createdAt: string;
collisionId?: string;
interventionId?: string;
}
/** Outcome of an intervention — the supervision signal for policy learning. */
export interface InterventionOutcome {
interventionId: string;