Skillget

tma1

agent
SUMMARY

Local-first observability for AI agents. Cost, sessions, anomalies, and conversation replay — all on your machine.

README.md

TMA1

"Your agent runs. TMA1 remembers."

Local-first observability for AI agents.
See what your agents cost, how long they take, and whether they're doing anything weird. All data stays on your machine.
No cloud account, no Docker, no Grafana.

Named after TMA-1 (Tycho Magnetic Anomaly-1) from 2001: A Space Odyssey:
the monolith buried on the moon, silently recording everything until you dig it out.

TMA1 Dashboard

What's in it

Five dashboard views, picked automatically from whatever data shows up:

View Tabs Data Source
Claude Code Overview, Tools, Cost, Anomalies, Sessions→ OTel metrics + logs
Codex Overview, Tools, Cost, Anomalies, Sessions→ OTel logs + metrics
OpenClaw Overview, Sessions, Traces, Cost, Security OTel traces + metrics
OTel GenAI Overview, Traces, Cost, Security, Search OTel traces (gen_ai semantic conventions)
Sessions Sessions, Search Hooks + JSONL transcripts (Claude Code, Codex)

Sessions→ links in Claude Code and Codex views navigate to the unified Sessions view.

Each view gives you:

  • Token counts, cost, and burn rate per model
  • p50/p95 latency per model
  • Activity heatmap over time
  • Anomalies tab that flags expensive requests, errors, and slow tools
  • Session replay with full conversation timeline
  • Search across all sessions by keyword
  • SQL access on port 14002, or the built-in query API

OpenClaw and OTel GenAI views also have a Security tab (shell commands, prompt injection, webhook errors).

Session Detail

Cost & Burn Rate

Quick Install

# macOS / Linux
curl -fsSL https://tma1.ai/install.sh | bash

# Windows (PowerShell)
irm https://tma1.ai/install.ps1 | iex

Or build from source:

git clone https://github.com/tma1-ai/tma1.git
cd tma1
make build

Quick Start

# Start TMA1
tma1-server

# Configure your agent to send OTel data (protobuf required):

# Claude Code — add to ~/.claude/settings.json:
#   "env": {
#     "OTEL_EXPORTER_OTLP_ENDPOINT": "http://localhost:14318/v1/otlp",
#     "OTEL_EXPORTER_OTLP_PROTOCOL": "http/protobuf",
#     "OTEL_METRICS_EXPORTER": "otlp",
#     "OTEL_LOGS_EXPORTER": "otlp"
#   }

# OpenClaw (sends traces)
openclaw config set diagnostics.otel.endpoint http://localhost:14318/v1/otlp

# Codex — add to ~/.codex/config.toml:
#   [otel]
#   log_user_prompt = true
#
#   [otel.exporter.otlp-http]
#   endpoint = "http://localhost:14318/v1/logs"
#   protocol = "binary"
#
#   [otel.trace_exporter.otlp-http]
#   endpoint = "http://localhost:14318/v1/traces"
#   protocol = "binary"
#
#   [otel.metrics_exporter.otlp-http]
#   endpoint = "http://localhost:14318/v1/metrics"
#   protocol = "binary"
#
#   Then restart Codex.

# Any OTel SDK
OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:14318/v1/otlp \
OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf \
your-agent

# Open the dashboard
open http://localhost:14318

How It Works

Agent (Claude Code / Codex / OpenClaw / any GenAI app)
    │  OTLP/HTTP
    ▼
tma1-server  (port 14318)
    │  receives + stores OTel data
    │  derives per-minute aggregations
    │  serves dashboard UI
    ▼
Browser dashboard (embedded in the binary)

One process, one binary. First start creates ~/.tma1/ and you're good to go. Nothing leaves your machine.

OTLP Endpoints

Agents send OTLP data to tma1-server:

http://localhost:14318/v1/otlp          # Wildcard OTLP (recommended)
http://localhost:14318/v1/traces        # Direct signal: traces
http://localhost:14318/v1/metrics       # Direct signal: metrics
http://localhost:14318/v1/logs          # Direct signal: logs

Codex requires separate per-signal endpoints; other agents can use the single /v1/otlp base.

API Endpoints

Endpoint Method Description
/health GET Liveness check
/status GET Backend reachability
/api/query POST SQL proxy ({"sql": "SELECT ..."})
/api/prom/* GET/POST Prometheus API proxy (PromQL)

Configuration

Variable Default Description
TMA1_HOST 127.0.0.1 Address tma1-server binds to
TMA1_PORT 14318 HTTP port for tma1-server
TMA1_DATA_DIR ~/.tma1 Local data and binary directory
TMA1_GREPTIMEDB_VERSION latest GreptimeDB version to download
TMA1_GREPTIMEDB_HTTP_PORT 14000 GreptimeDB HTTP API + OTLP port
TMA1_GREPTIMEDB_GRPC_PORT 14001 GreptimeDB gRPC port
TMA1_GREPTIMEDB_MYSQL_PORT 14002 GreptimeDB MySQL protocol port
TMA1_LOG_LEVEL info Log level: debug/info/warn/error
TMA1_DATA_TTL 60d Default TTL for auto-created tables

Development

make build           # Build the binary → server/bin/tma1-server
make build-linux     # Cross-compile for Linux amd64
make build-windows   # Cross-compile for Windows amd64
make vet             # Run go vet
make lint            # Run golangci-lint (requires golangci-lint v2)
make lint-js         # Run ESLint on dashboard JS (requires Node.js)
make test            # Run tests with race detector
make clean           # Remove built binaries
make run             # Build and run locally
make dev             # Watch mode: rebuild + restart on file changes (requires fswatch)

License

Apache-2.0

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