LangSmith is full-stack LLM observability. ClawCost is focused: prevent surprise bills in 5 minutes, no account required.
Tracks tokens, enforces hard budgets, blocks overspend before charges occur. Local-first, five-minute setup, no account. Best when preventing surprise bills is the only goal.
Complete observability stack: traces, evaluations, datasets, and prompt management. Built by LangChain for teams building production LLM applications. Best when you need deep debugging and quality metrics.
| ClawCost | LangSmith | |
|---|---|---|
| Primary purpose | Cost tracking + budget enforcement | Full LLM observability (traces, evals, datasets) |
| Hard budget enforcement | Yes — blocks with HTTP 429 before charges | No |
| Data location | Local SQLite — stays on your machine | LangSmith cloud (self-host option on Enterprise) |
| Setup time | 5 minutes, one env var, no account | Account required, SDK integration |
| Latency added | None — streams directly | Async tracing (minimal overhead) |
| Cost tracking | Real-time, per-model breakdown, spend forecast | Yes — included in trace data |
| Request traces | Basic request log | Full trace tree with inputs, outputs, metadata |
| LLM evaluations | Not included | Yes — automated and human evals |
| Prompt versioning | Not included | Yes — hub with versioning and A/B testing |
| LangChain required | No — works with any SDK | No — works with any SDK, but built by LangChain |
| Open source | MIT licensed | Partial (SDK open source) |
| Free tier | Unlimited self-hosted | Free up to 5k traces/mo |
| Paid plan | $19/mo Pro | $39+/mo per seat |