coldpass

KirtiJha/langgraph-interrupt-workflow-template

GitHub ↗ · How this check works

Per-setup public labels: Linux / Haiku: Didn’t work

Static status badge · SVG · read-only JSON. Embed with ![Coldpass status](https://coldpass.dev/badge/KirtiJha--langgraph-interrupt-workflow-template.svg).

ai-workflowschatbot-frameworkconversational-aifastapihuman-in-the-loopibm-watsonx

Didn’t work

Only older checks are saved; no current product test.

Answers apply to each recorded setup, revision and operation. Earlier observations remain in Run details.

Tested on Linux
PlatformHaikuLuna
Linuxno

Linux / Haiku 5.5: no · Oct 17, 2026 · 91549c2810ba · claude-code / 2.1.300 (Claude Code)
Recorded operation: Backend only, zero-config (offline pilot, mock LLM, in-memory checkpointer, no GitHub token). Frontend (npm install / npm run dev) was not run; its install is outside this smoke task. Full pytest suites were not run,…

Setup time
49 s to install
Issue
yes, not fixed yet
Our test was blocked; no repo verdict.

Safety: no observations were recorded for the selected revision. Functional results do not establish a safety result.

Repair history and test corrections
Current diagnosis: unknown · resolved

Coldpass condensed instruction text introduced newline controls rejected by the existing job schema before any model call. Job construction now normalizes instructional whitespace once, including repair context; exact original failure remains immutable. Default/repair schema regression passes.

Repair record fix-d34b3687b7eb4a5298a9 · current status JSON. Original run outcomes remain unchanged.

Failed run: KirtiJha/langgraph-interrupt-workflow-template · Oct 16, 2026 · Our test failed; no repo verdict.

Test-repair rerun: KirtiJha/langgraph-interrupt-workflow-template · Oct 16, 2026 · Not tested.

Current diagnosis: unknown · resolved

superseded; repo KirtiJha/langgraph-interrupt-workflow-template has a later non-harness result a recorded run

Repair record fix-50acfe9dfd764a0f2b05 · current status JSON. Original run outcomes remain unchanged.

Failed run: KirtiJha/langgraph-interrupt-workflow-template · Oct 17, 2026 · Recorded operation failed.

Repair development: KirtiJha/langgraph-interrupt-workflow-template · Oct 17, 2026 · Repair work (development) · not an initial-trial result.

Run details

Haiku 5.5

Native agent · Recorded operation failed

Operation / attempted scope Backend only, zero-config (offline pilot, mock LLM, in-memory checkpointer, no GitHub token). Frontend (npm install / npm run dev) was not run; its install is outside this smoke task. Full pytest suites were not run, per task instructions. Real model and live GitHub repo actions are not exercised.

Agent-reported scope: Start the FastAPI backend per README Quick start (step 1) and exercise GET /capabilities, which reports active features; /docs also returns 200.

Run details
run
KirtiJha--langgraph-interrupt-workflow-template-claude-haiku-5-5-1792230291788867544
date
Oct 17, 2026
time to working
not recorded
product hosting / execution
Not recorded
recorded operation scope
Backend only, zero-config (offline pilot, mock LLM, in-memory checkpointer, no GitHub token). Frontend (npm install / npm run dev) was not run; its install is outside this smoke task. Full pytest suites were not run, per task instructions. Real model and live GitHub repo actions are not exercised.
model
claude-haiku-5-5
agent / version
claude-code / 2.1.300 (Claude Code)
platform
linux
reported cost
$0.004643
Recorded source
https://github.com/KirtiJha/langgraph-interrupt-workflow-template
Tool transport
mcp-assigned-vm
Test version
readme-520bfd15730ba11f12f732859d1d8be557b2f38c2b58468f19f590c551dabe62
revision
91549c2810ba533eb9820fc67127f02a3efff07e
Current diagnosis: unknown · resolved

superseded; repo KirtiJha/langgraph-interrupt-workflow-template has a later non-harness result a recorded run

Repair record fix-50acfe9dfd764a0f2b05 · current status JSON. Original run outcomes remain unchanged.

Failed run: KirtiJha/langgraph-interrupt-workflow-template · Oct 17, 2026 · Recorded operation failed.

Repair development: KirtiJha/langgraph-interrupt-workflow-template · Oct 17, 2026 · Repair work (development) · not an initial-trial result.

Fix: fix-50acfe9dfd764a0f2b05.

Recorded blocker / warning

Step: cd /workspace && mkdir -p .coldpass && cat > .coldpass/probe.json <<'EOF' {"kind":"http","argv":[],"cwd":"/workspace","url":"http://localhost:8000/capabilities","expected_returncode":0,"expected_text":"\"offline_pilot\":true"} EOF cat > .coldpass/observed.json <<'EOF' {"backend_start":"python main.py (uvicorn on 0.0.0.0:8000) - Application startup complete","endpoint":"GET http://localhost:8000/capabilities -> 200","docs":"GET /docs -> 200","capabilities_excerpt":{"model":{"mock":true},"offline_pilot":true,"persistence":{"checkpointer":"memory"},"hitl":{"interrupt_mode":"per_call"}},"llm_note":"No LLM key configured; MockChatModel in use (expected per README zero-config)"} EOF cat > .coldpass/report.json <<'EOF' {"outcome":"working","operation":"Start the FastAPI backend per README Quick start (step 1) and exercise GET /capabilities, which reports active features; /docs also returns 200.","operation_scope":"Backend only, zero-config (offline pilot, mock LLM, in-memory checkpointer, no GitHub token). Frontend (npm install / npm run dev) was not run; its install is outside this smoke task. Full pytest suites were not run, per task instructions. Real model and live GitHub repo actions are not exercised.","steps":["cd backend && python3 -m venv .venv (failed: ensurepip missing) -> apt-get install -y python3.12-venv","python3 -m venv .venv && source .venv/bin/activate","pip install -r requirements.txt (exit 0)","cp .env.example .env","python main.py (background, log /tmp/backend.log; startup complete on :8000)","curl http://localhost:8000/capabilities -> 200; /docs -> 200"],"stuck_step":null,"main_blocker":null,"suggested_fix":null} EOF python3 -m json.tool .coldpass/probe.json >/dev/null && python3 -m json.tool .coldpass/report.json >/dev/null && python3 -m json.tool .coldpass/observed.json >/dev/null && echo VALID; ls -la .coldpass

probe argv must be a nonempty string array

Suggested next step (agent-reported): Inspect the recorded blocker and correct the README prerequisites or harness error.

What the agent did

Start the FastAPI backend per README Quick start (step 1) and exercise GET /capabilities, which reports active features; /docs also returns 200.

cd backend && python3 -m venv .venv (failed: ensurepip missing) -> apt-get install -y python3.12-venv
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt (exit 0)
cp .env.example .env
python main.py (background, log /tmp/backend.log; startup complete on :8000)
curl http://localhost:8000/capabilities -> 200; /docs -> 200
Earlier attempts (1)

Haiku 5.5

Native agent · Not tested

Checked operation /workspace/.venv/bin/python backend/main.py · local HTTP start + response check

Agent-reported scope: Start the FastAPI backend (backend/main.py) offline and call GET /repos/inspect?repo=acme/pixelforge, which validates the sample repo and returns its loaded board (repo metadata, labels, issues) from the bundled fixture.

Run details
run
KirtiJha--langgraph-interrupt-workflow-template-claude-haiku-5-5-1792199643128391801
date
Oct 16, 2026
time to working
183.4s
product hosting / execution
Local HTTP server in the guest
recorded operation scope
Offline fixture-backed read of the bundled acme/pixelforge sample repo only. No GitHub token, no LLM key, no mission start, no write/acting tools, no live GitHub calls. Frontend (npm install / npm run dev), pytest and evals were not run; the smoke scope was backend install + startup + one real query. No browser needed.
model
claude-haiku-5-5
agent / version
claude-code / 2.1.300 (Claude Code)
platform
linux
reported cost
$0.011268
Recorded source
https://github.com/KirtiJha/langgraph-interrupt-workflow-template
Tool transport
mcp-assigned-vm
Test version
readme-a5fd69562370320fa24a04972eb80c73d381a491060ae66b92976efa754d6355
revision
91549c2810ba533eb9820fc67127f02a3efff07e
Current diagnosis: unknown · resolved

Coldpass condensed instruction text introduced newline controls rejected by the existing job schema before any model call. Job construction now normalizes instructional whitespace once, including repair context; exact original failure remains immutable. Default/repair schema regression passes.

Repair record fix-d34b3687b7eb4a5298a9 · current status JSON. Original run outcomes remain unchanged.

Failed run: KirtiJha/langgraph-interrupt-workflow-template · Oct 16, 2026 · Our test failed; no repo verdict.

Test-repair rerun: KirtiJha/langgraph-interrupt-workflow-template · Oct 16, 2026 · Not tested.

Double-checks failed run: KirtiJha/langgraph-interrupt-workflow-template · Oct 16, 2026.

Fix: fix-d34b3687b7eb4a5298a9.

What the agent did

Start the FastAPI backend (backend/main.py) offline and call GET /repos/inspect?repo=acme/pixelforge, which validates the sample repo and returns its loaded board (repo metadata, labels, issues) from the bundled fixture.

Quick start (zero config) > 1. Backend: checked backend/.python-version (3.12); installed python3-venv via apt (Ubuntu 24.04 minimal guest lacked it).
Quick start > 1. Backend: created /workspace/.venv with python3 -m venv and ran pip install -r backend/requirements.txt (succeeded, langgraph 1.2.16, langchain 1.4.6, fastapi 0.143.3).
Quick start > 1. Backend: cp .env.example .env (backend/.env, zero-config defaults).
Quick start > 1. Backend: python main.py started on PORT=8765; GET /health returned {"status":"ok"}.
Quick start > 1. Backend / API reference: GET /repos/inspect?repo=acme/pixelforge returned HTTP 200 with the fixture board; GET /missions returned HTTP 200 with the starter missions.
Re-verified the probe command (/workspace/.venv/bin/python backend/main.py with PORT=8766) returned the same inspect response, then stopped that server by PID.
Skipped: Quick start > 2. Frontend (Node/npm; not needed for the backend smoke), Testing & evaluation (suites not run per task).

No product verdict. Run record.

No product verdict. Run record.

Repair work and diagnoses (1)

Haiku 5.5

Native agent · Repair work (development) · not an initial-trial result

Operation / attempted scope curl -sS http://localhost:8000/capabilities · local HTTP start + response check

Agent-reported scope: Start the FastAPI backend per README Quick start step 1 (zero config) and exercise GET /capabilities, which reports active features; GET /docs also returns 200.

Run details
run
KirtiJha--langgraph-interrupt-workflow-template-claude-haiku-5-5-1792232030523578101
date
Oct 17, 2026
time to working
78.2s (recorded; checker proof unavailable)
product hosting / execution
Local HTTP server in the guest
recorded operation scope
product operation
model
claude-haiku-5-5
agent / version
claude-code / 2.1.300 (Claude Code)
platform
linux
reported cost
$0.004773
Recorded source
https://github.com/KirtiJha/langgraph-interrupt-workflow-template
Tool transport
mcp-assigned-vm
Test version
readme-2484eadc26d6de4b4e6dffc4e895ce3a75ff3f2845ce4350bebeb585799cb90a
revision
91549c2810ba533eb9820fc67127f02a3efff07e
Current diagnosis: unknown · resolved

superseded; repo KirtiJha/langgraph-interrupt-workflow-template has a later non-harness result a recorded run

Repair record fix-50acfe9dfd764a0f2b05 · current status JSON. Original run outcomes remain unchanged.

Failed run: KirtiJha/langgraph-interrupt-workflow-template · Oct 17, 2026 · Recorded operation failed.

Repair development: KirtiJha/langgraph-interrupt-workflow-template · Oct 17, 2026 · Repair work (development) · not an initial-trial result.

Double-checks failed run: KirtiJha/langgraph-interrupt-workflow-template · Oct 17, 2026.

Fix: fix-50acfe9dfd764a0f2b05.

What the agent did

Start the FastAPI backend per README Quick start step 1 (zero config) and exercise GET /capabilities, which reports active features; GET /docs also returns 200.

cd backend && python3 -m venv .venv (failed: ensurepip missing on Ubuntu python3.12)
apt-get install -y python3.12-venv (exit 0)
python3 -m venv .venv && . .venv/bin/activate
pip install -r requirements.txt (exit 0)
cp .env.example .env
python main.py (background, log /tmp/backend.log; Application startup complete on :8000)
curl http://localhost:8000/capabilities -> 200 (offline_pilot:true)
curl http://localhost:8000/docs -> 200