Pydantic Logfire
Best when the agent is already PydanticAI/Python and you want app+LLM traces together. Langfuse stays Depot…
Best when the agent is already PydanticAI/Python and you want app+LLM traces together. Langfuse stays Depot tracing default; Braintrust for eval harnesses. Strengths: OTel traces for agents + app + infra on one $2/M meter; Honest free Personal cap (ingestion pauses — no surprise bill); First-class PydanticAI / Python DX.
Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.
Best when the agent is already PydanticAI/Python and you want app+LLM traces together. Langfuse stays Depot tracing default; Braintrust for eval harnesses.
Strengths
- · OTel traces for agents + app + infra on one $2/M meter
- · Honest free Personal cap (ingestion pauses — no surprise bill)
- · First-class PydanticAI / Python DX
Weaknesses
- · Not a dedicated LLM eval studio (Braintrust still deeper)
- · 10M records vanishes if you log every token span
- · Gateway markup if you do not BYOK
Pricing notes
As of 2026-09-14 (pydantic.dev/pricing): Personal free — 10M records/mo hard-capped, 1 seat, 3 projects, 30d. Team $49/mo (5 seats, $25 extra, 10M then $2/M, spend cap). Growth $249/mo unlimited seats/projects, up to 90d, BAA boilerplate. Enterprise cloud/dedicated/self-host. $0/1000 eval scores on Team+. AI Gateway BYOK (0% markup) / built-in 5% (3% on Growth).
Sourced pricing
Contract status unavailable · no_sourced_price. Single normalized $/1M: null. Machine list: /api/pricing?provider=logfire
No sourced SKU row. Notes above stay prose.
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