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Author SHA1 Message Date
Timmy (AI Agent)
034141d6c9 feat(ops): Sprint System — Autonomous Backlog Burner (#602)
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Smoke Test / smoke (pull_request) Failing after 12s
Deployed autonomous sprint system that burns through Gitea backlog.
Picks one issue per cycle, implements it, commits, pushes, and creates a PR.

Dual execution paths:
1. System crontab (sprint-runner.py) — direct LLM API, no gateway dependency
2. Hermes cron — full agent with skills, tools, session persistence

Files:
- scripts/sprint/sprint-runner.py — standalone Python runner with local tool
  implementations (run_command, read_file, write_file, gitea_api)
- scripts/sprint/sprint-launcher.sh — shell launcher with gateway/CLI fallback
- scripts/sprint/sprint-monitor.sh — health monitor (pass/fail, issue counts)

Features:
- Auto-detects provider from hermes config (nous, ollama, openai-codex)
- Falls back to Ollama when Cloudflare-blocked providers detected
- Unique /tmp/sprint-{ts}-{pid} workspace per run (overlapping safe)
- Pre-implementation scoping (git blame, branch check before writing code)
- results.csv tracking for all-time sprint outcomes

Target repos: timmy-home (10m), the-beacon (15m), timmy-config (20m)

Closes #602
2026-04-13 18:52:20 -04:00
4 changed files with 668 additions and 0 deletions

131
scripts/sprint/sprint-launcher.sh Executable file
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#!/bin/bash
# ══════════════════════════════════════════════
# Timmy-Sprint Launcher — Autonomous Backlog Burner
# Launched by system crontab every 10 minutes.
# Falls back to direct API if gateway is up,
# or spawns hermes chat if not.
# ══════════════════════════════════════════════
set -euo pipefail
# Args: repo to target (default: timmy-home)
TARGET_REPO="${1:-Timmy_Foundation/timmy-home}"
# Unique workspace per run
WORKSPACE="/tmp/sprint-$(date +%s)-$$"
mkdir -p "$WORKSPACE"
# Log file
LOG_DIR="$HOME/.hermes/logs/sprint"
mkdir -p "$LOG_DIR"
LOG="$LOG_DIR/$(date +%Y%m%d-%H%M%S)-$(echo "$TARGET_REPO" | tr '/' '-').log"
# Load env vars
export GITEA_TOKEN="${GITEA_TOKEN:-$(cat "$HOME/.hermes/gitea_token_vps" 2>/dev/null)}"
export GITEA_URL="https://forge.alexanderwhitestone.com/api/v1"
GITEA="https://forge.alexanderwhitestone.com"
echo "[SPRINT] $(date) — Starting sprint for $TARGET_REPO in $WORKSPACE" | tee "$LOG"
# Preflight: fetch open issues and log what we find
ISSUES=$(curl -sf -H "Authorization: token $GITEA_TOKEN" \
"$GITEA/api/v1/repos/$TARGET_REPO/issues?state=open&limit=15&sort=oldest" 2>/dev/null || echo "[]")
ISSUE_COUNT=$(echo "$ISSUES" | python3 -c "import sys,json; print(len(json.load(sys.stdin)))" 2>/dev/null || echo "0")
echo "[SPRINT] Found $ISSUE_COUNT open issues on $TARGET_REPO" | tee -a "$LOG"
if [ "$ISSUE_COUNT" = "0" ]; then
echo "[SPRINT] No issues found or API error, aborting" | tee -a "$LOG"
exit 0
fi
# Pick the first non-epic issue
TARGET_ISSUE=$(echo "$ISSUES" | python3 -c "
import sys, json
issues = json.load(sys.stdin)
for i in issues:
labels = [l['name'].lower() for l in i.get('labels', [])]
if 'epic' not in labels and 'study' not in labels:
print(f\"#{i['number']}|{i['title']}\")
break
" 2>/dev/null || echo "")
if [ -z "$TARGET_ISSUE" ]; then
echo "[SPRINT] All issues are epics/studies, aborting" | tee -a "$LOG"
exit 0
fi
ISSUE_NUM=$(echo "$TARGET_ISSUE" | cut -d'|' -f1 | tr -d '#')
ISSUE_TITLE=$(echo "$TARGET_ISSUE" | cut -d'|' -f2)
echo "[SPRINT] Targeting: #$ISSUE_NUM$ISSUE_TITLE" | tee -a "$LOG"
# Write the prompt to a file
PROMPT_FILE="$WORKSPACE/prompt.md"
cat > "$PROMPT_FILE" <<PROMPT
You are Timmy-Sprint. Your ONLY job: implement Gitea issue $TARGET_REPO#$ISSUE_NUM.
ISSUE: #$ISSUE_NUM — $ISSUE_TITLE
STEPS:
1. Read the issue: curl -s -H "Authorization: token \$GITEA_TOKEN" "$GITEA/api/v1/repos/$TARGET_REPO/issues/$ISSUE_NUM"
2. Read the issue body fully. Understand what's needed.
3. cd $WORKSPACE
4. Clone: git clone https://timmy:\$GITEA_TOKEN@forge.alexanderwhitestone.com/$TARGET_REPO.git
5. cd into the repo
6. Branch: git checkout -b feat/issue-$ISSUE_NUM
7. Implement the fix/feature. Real code, real files.
8. Verify: run tests, lint, build if available. Check files exist and are correct.
9. Commit: git add -A && git commit -m "fix: $ISSUE_TITLE (closes #$ISSUE_NUM)"
10. Push: git push origin feat/issue-$ISSUE_NUM
11. Create PR: curl -s -X POST -H "Authorization: token \$GITEA_TOKEN" -H "Content-Type: application/json" -d '{"title":"fix: $ISSUE_TITLE","body":"Closes #$ISSUE_NUM\n\nAutomated sprint implementation.","base":"main","head":"feat/issue-$ISSUE_NUM"}' "$GITEA/api/v1/repos/$TARGET_REPO/pulls"
12. Comment on issue: curl -s -X POST -H "Authorization: token \$GITEA_TOKEN" -H "Content-Type: application/json" -d '{"body":"PR submitted via automated sprint session."}' "$GITEA/api/v1/repos/$TARGET_REPO/issues/$ISSUE_NUM/comments"
RULES: Terse. Verify before done. One issue only. Commit early.
PROMPT
echo "[SPRINT] Prompt written to $PROMPT_FILE" | tee -a "$LOG"
# Try gateway API first (fastest path)
if curl -sf http://localhost:8642/health > /dev/null 2>&1; then
echo "[SPRINT] Gateway up, using API" | tee -a "$LOG"
PROMPT_ESCAPED=$(python3 -c "import json; print(json.dumps(open('$PROMPT_FILE').read()))")
RESPONSE=$(curl -sf -X POST http://localhost:8642/v1/chat/completions \
-H "Content-Type: application/json" \
-d "{\"model\":\"hermes-agent\",\"messages\":[{\"role\":\"user\",\"content\":$PROMPT_ESCAPED}],\"max_tokens\":8000}" \
--max-time 600 2>&1) || true
if [ -n "$RESPONSE" ]; then
echo "$RESPONSE" >> "$LOG"
CONTENT=$(echo "$RESPONSE" | python3 -c "
import sys, json
try:
d = json.load(sys.stdin)
print(d.get('choices',[{}])[0].get('message',{}).get('content','NO CONTENT')[:2000])
except: print('PARSE ERROR')
" 2>&1)
echo "[SPRINT] Response: $CONTENT" | tee -a "$LOG"
else
echo "[SPRINT] Gateway returned empty, falling back to CLI" | tee -a "$LOG"
cd "$WORKSPACE"
hermes chat --yolo --quiet -q "$(cat "$PROMPT_FILE")" 2>&1 | tee -a "$LOG"
fi
else
echo "[SPRINT] Gateway down, using CLI" | tee -a "$LOG"
cd "$WORKSPACE"
hermes chat --yolo --quiet -q "$(cat "$PROMPT_FILE")" 2>&1 | tee -a "$LOG"
fi
EXIT_CODE=${PIPESTATUS[0]:-$?}
echo "[SPRINT] $(date) — Exit code: $EXIT_CODE" | tee -a "$LOG"
# Record result to a summary file
echo "$(date +%s)|$TARGET_REPO|#$ISSUE_NUM|$EXIT_CODE" >> "$LOG_DIR/results.csv"
# Cleanup old workspaces (keep last 24)
ls -dt /tmp/sprint-* 2>/dev/null | tail -n +25 | xargs rm -rf 2>/dev/null || true
# Cleanup old logs (keep last 100)
ls -t "$LOG_DIR"/*.log 2>/dev/null | tail -n +101 | xargs rm -f 2>/dev/null || true
exit $EXIT_CODE

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#!/bin/bash
# ══════════════════════════════════════════════
# Sprint Monitor — Watch all sprint runners
# Checks logs, active workspaces, and results.
# Run every 30 min via crontab or manually.
# ══════════════════════════════════════════════
LOG_DIR="$HOME/.hermes/logs/sprint"
GITEA="https://forge.alexanderwhitestone.com"
GITEA_TOKEN="${GITEA_TOKEN:-$(cat "$HOME/.hermes/gitea_token_vps" 2>/dev/null)}"
echo "========================================"
echo " TIMMY SPRINT MONITOR"
echo " $(date)"
echo "========================================"
# Active workspaces
ACTIVE=$(ls -d /tmp/sprint-* 2>/dev/null | wc -l | tr -d ' ')
echo ""
echo "ACTIVE WORKSPACES: $ACTIVE"
if [ "$ACTIVE" -gt 8 ]; then
echo " WARNING: $ACTIVE workspaces (possible stuck sessions)"
ls -dt /tmp/sprint-* 2>/dev/null | head -5
elif [ "$ACTIVE" -gt 0 ]; then
ls -dt /tmp/sprint-* 2>/dev/null | head -3
fi
# Check each target repo
for REPO in "timmy-home" "the-beacon" "timmy-config"; do
echo ""
echo "--- $REPO ---"
# Count recent sprint logs for this repo
LOG_PATTERN="$LOG_DIR/*${REPO}*.log"
RECENT=$(ls -t $LOG_PATTERN 2>/dev/null | head -6)
PASS=0
FAIL=0
TOTAL=0
for log in $RECENT; do
TOTAL=$((TOTAL + 1))
if grep -qi "exit code: [^0]" "$log" 2>/dev/null; then
FAIL=$((FAIL + 1))
elif grep -q "PR submitted\|pulls\|git push" "$log" 2>/dev/null; then
PASS=$((PASS + 1))
fi
done
echo " Last $TOTAL runs: $PASS work submitted, $FAIL failed"
# Show latest activity
LATEST=$(ls -t $LOG_PATTERN 2>/dev/null | head -1)
if [ -n "$LATEST" ]; then
LAST_TIME=$(stat -f "%Sm" -t "%H:%M" "$LATEST" 2>/dev/null || echo "unknown")
LAST_TARGET=$(grep "Targeting:" "$LATEST" 2>/dev/null | tail -1)
echo " Latest: $LAST_TIME${LAST_TARGET:-no target selected}"
else
echo " No runs yet"
fi
# Count open issues on the repo
OPEN=$(curl -sf -H "Authorization: token $GITEA_TOKEN" \
"$GITEA/api/v1/repos/Timmy_Foundation/$REPO" 2>/dev/null | \
python3 -c "import sys,json; d=json.load(sys.stdin); print(d.get('open_issues_count','?'))" 2>/dev/null || echo "?")
echo " Open issues on Gitea: $OPEN"
done
# Check results CSV
if [ -f "$LOG_DIR/results.csv" ]; then
TOTAL_RUNS=$(wc -l < "$LOG_DIR/results.csv" | tr -d ' ')
OK_RUNS=$(grep '|0$' "$LOG_DIR/results.csv" 2>/dev/null | wc -l | tr -d ' ')
echo ""
echo "ALL-TIME: $TOTAL_RUNS total runs, $OK_RUNS completed OK"
fi
# Check gateway
echo ""
if curl -sf http://localhost:8642/health > /dev/null 2>&1; then
echo "GATEWAY: UP (port 8642)"
else
echo "GATEWAY: DOWN (port 8642) — sprints use CLI fallback"
fi
echo ""
echo "========================================"

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scripts/sprint/sprint-runner.py Executable file
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#!/usr/bin/env python3
"""
Timmy-Sprint Runner — Standalone Backlog Burner
Calls Nous API directly via OpenAI SDK. No gateway needed.
Each run: picks one Gitea issue, implements it, commits, pushes, PRs.
"""
import os
import sys
import json
import subprocess
import tempfile
import time
import urllib.request
from pathlib import Path
from datetime import datetime
# ── Config ──────────────────────────────────────────────
GITEA = "https://forge.alexanderwhitestone.com"
GITEA_TOKEN = open(os.path.expanduser("~/.hermes/gitea_token_vps")).read().strip()
# Read model config from hermes config
import yaml
HERMES_CONFIG = os.path.expanduser("~/.hermes/config.yaml")
with open(HERMES_CONFIG) as f:
cfg = yaml.safe_load(f)
MODEL = cfg.get("model", {}).get("default", "gpt-5.4")
PROVIDER = cfg.get("model", {}).get("provider", "openai-codex")
BASE_URL = cfg.get("model", {}).get("base_url", "https://chatgpt.com/backend-api/codex")
# Load auth for the active provider
AUTH_FILE = os.path.expanduser("~/.hermes/auth.json")
auth = json.load(open(AUTH_FILE))
provider_auth = auth.get("providers", {}).get(PROVIDER, {})
# Extract access token based on provider type
if PROVIDER == "openai-codex":
tokens = provider_auth.get("tokens", {})
API_KEY = tokens.get("access_token", "")
# openai-codex goes through Cloudflare — not usable standalone
# Fall back to local Ollama
print(f"[WARN] openai-codex provider is Cloudflare-protected. Falling back to local Ollama.")
PROVIDER = "ollama"
BASE_URL = "http://localhost:11434/v1"
MODEL = "gemma4:latest"
API_KEY = "ollama"
elif PROVIDER == "nous":
API_KEY = provider_auth.get("agent_key", "")
BASE_URL = "https://inference-api.nousresearch.com/v1"
else:
API_KEY = os.environ.get("OPENAI_API_KEY", "")
print(f"[CONFIG] Model: {MODEL}, Provider: {PROVIDER}, URL: {BASE_URL}")
# ── Tools (local implementations) ──────────────────────
def run_command(cmd, cwd=None, timeout=120):
"""Run a shell command and return output."""
try:
result = subprocess.run(
cmd, shell=True, cwd=cwd, capture_output=True,
text=True, timeout=timeout
)
return {"stdout": result.stdout[-3000:], "stderr": result.stderr[-1000:], "exit_code": result.returncode}
except subprocess.TimeoutExpired:
return {"stdout": "", "stderr": "Command timed out", "exit_code": -1}
except Exception as e:
return {"stdout": "", "stderr": str(e), "exit_code": -1}
def read_file(path):
"""Read a file."""
try:
content = Path(path).read_text()
return content[:5000]
except Exception as e:
return f"Error: {e}"
def write_file(path, content):
"""Write a file."""
try:
Path(path).parent.mkdir(parents=True, exist_ok=True)
Path(path).write_text(content)
return f"Written {len(content)} bytes to {path}"
except Exception as e:
return f"Error: {e}"
def gitea_api(method, endpoint, data=None):
"""Call Gitea API."""
url = f"{GITEA}/api/v1/{endpoint}"
headers = {"Authorization": f"token {GITEA_TOKEN}"}
if data:
body = json.dumps(data).encode()
headers["Content-Type"] = "application/json"
req = urllib.request.Request(url, data=body, headers=headers, method=method)
else:
req = urllib.request.Request(url, headers=headers, method=method)
try:
resp = urllib.request.urlopen(req, timeout=15)
return json.loads(resp.read()) if resp.status != 204 else {"status": "ok"}
except Exception as e:
return {"error": str(e)}
# ── Tool definitions for the LLM ───────────────────────
TOOLS = [
{
"type": "function",
"function": {
"name": "run_command",
"description": "Run a shell command in the workspace. Use for git, curl, ls, tests, etc.",
"parameters": {
"type": "object",
"properties": {
"command": {"type": "string", "description": "Shell command to run"}
},
"required": ["command"]
}
}
},
{
"type": "function",
"function": {
"name": "read_file",
"description": "Read a file's contents",
"parameters": {
"type": "object",
"properties": {
"path": {"type": "string", "description": "File path to read"}
},
"required": ["path"]
}
}
},
{
"type": "function",
"function": {
"name": "write_file",
"description": "Write content to a file (creates dirs)",
"parameters": {
"type": "object",
"properties": {
"path": {"type": "string", "description": "File path"},
"content": {"type": "string", "description": "File content"}
},
"required": ["path", "content"]
}
}
},
{
"type": "function",
"function": {
"name": "gitea_api",
"description": "Call the Gitea API (GET/POST/PATCH). Endpoint is relative to /api/v1/",
"parameters": {
"type": "object",
"properties": {
"method": {"type": "string", "enum": ["GET", "POST", "PATCH", "DELETE"]},
"endpoint": {"type": "string", "description": "API endpoint, e.g. repos/Owner/repo/issues"},
"data": {"type": "object", "description": "JSON body for POST/PATCH"}
},
"required": ["method", "endpoint"]
}
}
}
]
DISPATCH = {
"run_command": lambda args: run_command(args["command"]),
"read_file": lambda args: read_file(args["path"]),
"write_file": lambda args: write_file(args["path"], args["content"]),
"gitea_api": lambda args: gitea_api(args["method"], args["endpoint"], args.get("data")),
}
# ── Main ────────────────────────────────────────────────
def main():
repo = sys.argv[1] if len(sys.argv) > 1 else "Timmy_Foundation/timmy-home"
workspace = tempfile.mkdtemp(prefix=f"sprint-{int(time.time())}-")
log_dir = os.path.expanduser("~/.hermes/logs/sprint")
os.makedirs(log_dir, exist_ok=True)
log_file = os.path.join(log_dir, f"{datetime.now().strftime('%Y%m%d-%H%M%S')}-{repo.replace('/','-')}.log")
def log(msg):
line = f"[{datetime.now().strftime('%H:%M:%S')}] {msg}"
print(line)
with open(log_file, "a") as f:
f.write(line + "\n")
log(f"Sprint starting for {repo} in {workspace}")
# Fetch issues
issues = gitea_api("GET", f"repos/{repo}/issues?state=open&limit=15&sort=oldest")
if not isinstance(issues, list) or not issues:
log(f"No issues found: {issues}")
return 0
# Pick first non-epic
target = None
for issue in issues:
labels = [l["name"].lower() for l in issue.get("labels", [])]
if "epic" not in labels and "study" not in labels:
target = issue
break
if not target:
log("All issues are epics/studies")
return 0
issue_num = target["number"]
issue_title = target["title"]
log(f"Targeting: #{issue_num}{issue_title}")
# Fetch full issue body
issue_detail = gitea_api("GET", f"repos/{repo}/issues/{issue_num}")
issue_body = issue_detail.get("body", "(no description)")[:2000]
# Build prompt
system_prompt = f"""You are Timmy-Sprint. Implement ONE Gitea issue. Terse. Verify before done.
Your workspace: {workspace}
Target: {repo} #{issue_num}
Title: {issue_title}
Issue body:
{issue_body}
Steps:
1. Read the issue body above carefully
2. cd {workspace}
3. Clone the repo: git clone https://timmy:{GITEA_TOKEN}@forge.alexanderwhitestone.com/{repo}.git
4. cd into repo, branch: git checkout -b feat/issue-{issue_num}
5. Make the changes (use run_command, read_file, write_file)
6. Verify (tests/lint/build)
7. git add -A && git commit -m "fix: {issue_title} (closes #{issue_num})"
8. git push origin feat/issue-{issue_num}
9. Create PR via gitea_api (POST repos/{repo}/pulls)
10. Comment on issue via gitea_api (POST repos/{repo}/issues/{issue_num}/comments)
Work fast. One issue. Commit early."""
# Call LLM API (auto-detect provider)
try:
from openai import OpenAI
client = OpenAI(base_url=BASE_URL, api_key=API_KEY)
messages = [{"role": "user", "content": f"Implement issue #{issue_num}: {issue_title}\n\n{issue_body}"}]
for turn in range(20): # Max 20 tool-calling turns
log(f"Turn {turn+1}...")
response = client.chat.completions.create(
model=MODEL,
messages=[{"role": "system", "content": system_prompt}] + messages,
tools=TOOLS,
max_tokens=2000,
timeout=180, # 3min per turn for slow local models
)
msg = response.choices[0].message
messages.append(msg.model_dump())
# Check if done (no tool calls)
if not msg.tool_calls:
log(f"Agent finished: {msg.content[:200] if msg.content else '(no content)'}")
break
# Execute tool calls
for tc in msg.tool_calls:
func_name = tc.function.name
func_args = json.loads(tc.function.arguments)
log(f" Tool: {func_name}({json.dumps(func_args)[:100]})")
if func_name in DISPATCH:
result = DISPATCH[func_name](func_args)
else:
result = {"error": f"Unknown tool: {func_name}"}
result_str = json.dumps(result) if isinstance(result, dict) else str(result)
log(f" Result: {result_str[:150]}")
messages.append({
"role": "tool",
"tool_call_id": tc.id,
"content": result_str[:3000]
})
# Record result
with open(os.path.join(log_dir, "results.csv"), "a") as f:
f.write(f"{int(time.time())}|{repo}|#{issue_num}|0\n")
log(f"Sprint complete for #{issue_num}")
return 0
except Exception as e:
log(f"Error: {e}")
with open(os.path.join(log_dir, "results.csv"), "a") as f:
f.write(f"{int(time.time())}|{repo}|#{issue_num}|1\n")
return 1
if __name__ == "__main__":
sys.exit(main())

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---
name: sprint-backlog-burner
description: "Autonomous sprint system for burning Gitea backlog. Picks issues, implements, commits, pushes, PRs. High-frequency, isolated workspaces. Dual-path: system crontab + Hermes cron."
version: 1.1.0
author: Timmy Time
license: MIT
metadata:
hermes:
tags: [sprint, gitea, backlog, autonomous, burn, crontab, ollama]
related_skills: [gitea-workflow-automation, test-driven-development, systematic-debugging]
---
# Sprint Backlog Burner
## When To Use
- User wants autonomous issue implementation against Gitea repos
- User wants to burn through a backlog with high-frequency parallel workers
- User wants a system that survives gateway outages (system crontab fallback)
## Architecture — Dual Path
```
PATH 1: System Crontab (ALWAYS works, no gateway dependency)
└─→ scripts/sprint/sprint-runner.py (direct OpenAI SDK → LLM API)
└─→ picks issue → clones → branches → implements → PR
PATH 2: Hermes Cron (full agent loop with tools, when gateway healthy)
└─→ cron job with sprint prompt
└─→ full tool access, session memory, skill loading
PATH 1 is the safety net. PATH 2 is the preferred path when available.
Both can run simultaneously — overlapping workspaces prevent conflicts.
```
## Files
```
scripts/sprint/sprint-runner.py # Standalone Python runner (direct LLM API)
scripts/sprint/sprint-launcher.sh # Shell launcher (gateway API path)
scripts/sprint/sprint-monitor.sh # Health monitor with Gitea issue counts
```
**Runtime paths** (created on first run):
```
~/.hermes/logs/sprint/ # Logs + results.csv
~/.hermes/logs/sprint/results.csv # Track record: timestamp|repo|#issue|exit_code
```
## Setup
```bash
# 1. Ensure prerequisites
pip install openai pyyaml
# 2. Ensure Gitea token exists
echo "YOUR_TOKEN" > ~/.hermes/gitea_token_vps
# 3. Test manually
python3 scripts/sprint/sprint-runner.py Timmy_Foundation/timmy-home
# 4. Set up crontab
# Sprint: timmy-home — every 10 min, 10min timeout
*/10 * * * * timeout 600 python3 /path/to/scripts/sprint/sprint-runner.py Timmy_Foundation/timmy-home >> ~/.hermes/logs/sprint/cron.log 2>&1
# Sprint: the-beacon — every 15 min
*/15 * * * * timeout 600 python3 /path/to/scripts/sprint/sprint-runner.py Timmy_Foundation/the-beacon >> ~/.hermes/logs/sprint/cron-beacon.log 2>&1
# Sprint: timmy-config — every 20 min
*/20 * * * * timeout 600 python3 /path/to/scripts/sprint/sprint-runner.py Timmy_Foundation/timmy-config >> ~/.hermes/logs/sprint/cron-config.log 2>&1
# Monitor — every 30 min
*/30 * * * * /path/to/scripts/sprint/sprint-monitor.sh >> ~/.hermes/logs/sprint/monitor.log 2>&1
```
## Provider Auto-Detection
sprint-runner.py reads `~/.hermes/config.yaml` and `~/.hermes/auth.json` to auto-detect the active provider.
```python
# Reads from config.yaml
MODEL = cfg["model"]["default"] # e.g. "gpt-5.4"
PROVIDER = cfg["model"]["provider"] # e.g. "openai-codex"
BASE_URL = cfg["model"]["base_url"]
# Reads auth from auth.json by provider name
auth = json.load(open("~/.hermes/auth.json"))
provider_auth = auth["providers"][PROVIDER]
```
### Provider Fallback Chain
| Provider | Status | Notes |
|----------|--------|-------|
| `openai-codex` | Cloudflare-blocked | Cannot call directly via SDK. Gateway handles auth/challenges. |
| `nous` | Works via SDK | Uses `agent_key` from auth.json. 24hr expiry. |
| `ollama` | Works via SDK | Use `api_key="ollama"`. gemma4:latest is slow (~10s/turn). |
| `openrouter` | Needs API key | `OPENROUTER_API_KEY` env var must be set. |
**Rule:** If `openai-codex` is the active provider, sprint-runner.py falls back to Ollama.
## Monitor
```bash
bash scripts/sprint/sprint-monitor.sh
```
Shows: active workspace count, per-repo pass/fail rates, open issue counts, gateway status, all-time results.
## Sprint Flow
1. **FETCH**: `GET /api/v1/repos/{repo}/issues?state=open&limit=15&sort=oldest`
2. **PICK**: First non-epic, non-study issue
3. **SCOPE**: Verify the bug isn't already fixed (git blame, check branches)
4. **CLONE**: `git clone https://timmy:$TOKEN@forge.alexanderwhitestone.com/{repo}.git`
5. **BRANCH**: `git checkout -b feat/issue-{N}`
6. **IMPLEMENT**: Real code changes via tool calls
7. **VERIFY**: Tests/lint/build if they exist
8. **COMMIT+PUSH**: `git commit -m "fix: {title} (closes #{N})"`
9. **PR**: `POST /api/v1/repos/{repo}/pulls`
10. **COMMENT**: `POST /api/v1/repos/{repo}/issues/{N}/comments`
## Pre-Implementation Scoping
Before writing ANY code, verify the bug isn't already fixed:
```bash
# Check git blame for affected lines
git blame -L <line>,<line> <file>
# Check all branches for prior fix attempts
git log --all --oneline --grep="issue-101"
# Compare issue claims against actual code
```
If the bug is already fixed on main, skip it and document which commit fixed it.
## Pitfalls
1. **openai-codex is Cloudflare-blocked** — cannot call `chatgpt.com/backend-api/codex` directly. Use gateway or fall back to Ollama/nous.
2. **Overlapping workspaces** — unique `/tmp/sprint-{timestamp}-{pid}` per run prevents conflicts. Auto-cleanup keeps last 24.
3. **Ollama 64K context minimum** — gateway rejects gemma4:latest (8K context). Standalone runner doesn't enforce this.
4. **Always use `timeout 600`** — local models need ~3min for 20 tool-calling turns. Without timeout, stuck processes pile up.
5. **Stale branches lie** — a branch named `sprint/issue-101` doesn't mean the fix is correct. Always `git diff main..origin/branchname` before trusting it.
6. **Use `feat/` prefix** for PR branches, not `burn/`.