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Langfuse vs Together AI

Langfuse scores higher on the AgentReady, 57/100 against 46/100. They differ on 8 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Langfuse. Langfuse is an open-source AI engineering platform that helps teams collaboratively debug, analyze, and iterate on their AI agent applications.

Together AI. Full-stack AI platform, powered by cutting-edge research

Where Langfuse is ahead

Langfuse passes search discoverable, clear product positioning and mcp discoverable, and Together AI does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: limits / constraints documented. Together AI misses it.

And on adopt, cli available and mcp integration available. Together AI misses those.

Where Together AI is ahead

Together AI passes clear canonical domain, and Langfuse does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: structured api reference. Langfuse misses it.

What neither does

Both fail openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. If your agent needs any of those, you will be building it yourself either way.

Score, pillar by pillar

The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.

Discover is whether an agent can find the product at all without being told it exists. Langfuse leads 93 to 60. Langfuse misses clear canonical domain; Together AI misses search discoverable, clear product positioning, mcp discoverable.

Understand. Together AI leads 38 to 31. Langfuse misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented; Together AI misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Langfuse leads 70 to 52. Langfuse misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation; Together AI misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, cli available, mcp integration available.

Operate. Both sit at 35/100 here. Langfuse misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Together AI misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Langfuse does not publish a machine-readable starting price and has a free tier. Together AI starts at $0.00 and has a free tier.

Signal by signal

Which to pick

Langfuse clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Langfuse and Together AI. Alternatives to each: Langfuse, Together AI.

An agent can fetch this as data: POST /v1/compare {"slugs": ["langfuse", "together"]}