docker run -d --name bloop \
  -p 5332:5332 \
  -v bloop_data:/data \
  -e BLOOP__AUTH__HMAC_SECRET=your-secret-here \
  ghcr.io/jaikoo/bloop:latest

git clone https://github.com/jaikoo/bloop.git
cd bloop
cargo build --release
./target/release/bloop --config config.toml

# Analytics only
cargo build --release --features analytics

# LLM tracing only
cargo build --release --features llm-tracing

# Both
cargo build --release --features "analytics,llm-tracing"

# Your project API key (from Settings → Projects)
API_KEY="bloop_abc123..."

# Compute HMAC signature using the project key
BODY='{"timestamp":1700000000,"source":"api","environment":"production","release":"1.0.0","error_type":"RuntimeError","message":"Something went wrong"}'
SIG=$(echo -n "$BODY" | openssl dgst -sha256 -hmac "$API_KEY" | awk '{print $2}')

# Send to bloop
curl -X POST http://localhost:5332/v1/ingest \
  -H "Content-Type: application/json" \
  -H "X-Project-Key: $API_KEY" \
  -H "X-Signature: $SIG" \
  -d "$BODY"

# ── Server ──
[server]
host = "0.0.0.0"
port = 5332

# ── Database ──
[database]
path = "bloop.db"       # SQLite file path
pool_size = 4            # deadpool-sqlite connections

# ── Ingestion ──
[ingest]
max_payload_bytes = 32768   # Max single request body
max_stack_bytes = 8192      # Max stack trace length
max_metadata_bytes = 4096   # Max metadata JSON size
max_message_bytes = 2048    # Max error message length
max_batch_size = 50         # Max events per batch request
channel_capacity = 8192     # MPSC channel buffer size

# ── Pipeline ──
[pipeline]
flush_interval_secs = 2     # Flush timer
flush_batch_size = 500       # Events per batch write
sample_reservoir_size = 5   # Sample occurrences kept per fingerprint

# ── Retention ──
[retention]
raw_events_days = 7         # Raw event TTL
prune_interval_secs = 3600  # How often to run cleanup

# ── Auth ──
[auth]
hmac_secret = "change-me-in-production"
rp_id = "localhost"                     # WebAuthn relying party ID
rp_origin = "http://localhost:5332"      # WebAuthn origin
session_ttl_secs = 604800                 # Session lifetime (7 days)

# ── Rate Limiting ──
[rate_limit]
per_second = 100
burst_size = 200

# ── Alerting ──
[alerting]
cooldown_secs = 900        # Min seconds between re-fires

# ── SMTP (for email alerts) ──
[smtp]
enabled = false
host = "smtp.example.com"
port = 587
username = ""
password = ""
from = "[email protected]"
starttls = true

# ── Analytics (optional, requires --features analytics) ──
[analytics]
enabled = true
cache_ttl_secs = 60
zscore_threshold = 2.5

# ── LLM Tracing (optional, requires --features llm-tracing) ──
[llm_tracing]
enabled = true                    # Runtime toggle
channel_capacity = 4096           # Bounded channel size
flush_interval_secs = 2           # Time-based flush trigger
flush_batch_size = 200             # Count-based flush trigger
max_spans_per_trace = 100         # Validation limit
max_batch_size = 50               # Max traces per batch POST
default_content_storage = "none"  # none | metadata_only | full
cache_ttl_secs = 30               # Query result cache TTL

# ── LLM Proxy (optional, requires --features llm-tracing) ──
# The proxy enables zero-instrumentation tracing by acting as a reverse proxy.
# Your app points its LLM client at bloop instead of the provider directly.
[llm_tracing.proxy]
enabled = true                    # Enable proxy endpoints
providers = ["openai", "anthropic"]  # Supported providers
openai_base_url = "https://api.openai.com/v1"    # OpenAI API base
anthropic_base_url = "https://api.anthropic.com/v1"  # Anthropic API base
capture_prompts = true           # Store full prompts
capture_completions = true       # Store completion text
capture_streaming = true         # Capture streaming responses