Head to head · Evaluations · October 2026 research run

Gauge CLI vs LangSmith API + MCP

LangSmith API + MCP scores 71.6 (BB) on agent readiness against Gauge CLI's 60.4 (C), and leads in 6 of 7 scored categories. Both do evaluations.

Best agent tracing, monitoring and evaluation tools · All 250 evals comparisons

Which one, for what

Gauge CLI C

Best for Teams that build skills, CLIs, SDKs or MCP servers and want to see where coding agents get stuck with them, and to test fixes before release.

Also in its favour

  • No key needed to call it
  • Open source
  • No incidents deducted, where LangSmith API + MCP loses 4 points for them

Watch for

Collects anonymous command usage by default, with an opt-out

LangSmith API + MCP BB

Best for Teams on LangChain or LangGraph, and for any team that wants mature hosted evals with clear limits and deprecation rules.

Ahead on

  • Reliability, 81 against 60
  • Schema & documentation, 86 against 60
  • Security & auth, 79 against 55
  • Transparency & trust, 78 against 53

Also in its favour

  • Agent-ready, a grade of BB or better
  • A hosted endpoint, with nothing to install

Watch for

Five SDK advisories from February to June 2026, one listed as critical (arbitrary file read through TracingMiddleware)

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Schema & documentation LangSmith API + MCP +26

Gauge CLI 60

CLI reading. No machine-readable contract, -o json on read commands (10 of 25). No llms.txt; instructions bundled in the CLI for agents (5). The README says what it finds and when local or hosted fits (16 of 20). Commands with help text; typed flags (9 of 15). Worked examples, no error reference (8 of 15). Dated changelog and semver tags (12 of 15). 10 + 5 + 16 + 9 + 8 + 12 = 60.

LangSmith API + MCP 86

Public OpenAPI 3.1 at api.smith.langchain.com/openapi.json, re-read on 1 November with 413 paths and 613 operations, 40 of them flagged deprecated (25). llms.txt and Markdown docs (10). MCP tool docstrings are long and practical. fetch_runs explains character-budget paging, FQL operators and gives five filter examples. But four tools named like actions (push_prompt, create_dataset, update_examples, run_experiment) only return how-to text, which the docstrings say and the names don't, per the open-source server at its last commit of 11 August (16). Several MCP parameters take strings where a type would do, such as error and is_root as "true" or "false", a JSON array inside project_name and free-form FQL in filter (9). Examples throughout the docs and docstrings. Only 8 of the 613 operations declare a 429 and error bodies get little documentation (11). Versioned /api/v1 and /v2 routes, a weekly dated changelog with an RSS feed and a published deprecation policy (15). 25+10+16+9+11+15 = 86.

Transparency & trust LangSmith API + MCP +25

Gauge CLI 53

MIT (30). Local data stays in .gauge/ and telemetry fields are listed; hosted data handling wasn't read (18 of 30). Dated changelog, no deprecation policy (10 of 20). Telemetry on by default, disclosed with an opt-out (20). 30 + 18 + 10 + 20 = 78.

LangSmith API + MCP 78

Closed platform. The SDKs and the open-source MCP server are MIT (18). Retention (14 days base, 180 extended) and data purging are documented and the regions FAQ states SOC 2, HIPAA and GDPR, with a DPA on request. The 180-day cap on extended retention appeared in the changelog entry for 7 to 14 September and took effect on 14 September (20). Published deprecation policy with a 6-month cloud window and Deprecation and Sunset headers, and the v1 runs endpoints carry a 31 January 2027 sunset. The POST /feedback/eager removal on 10 August 2026 was announced in the changelog for 6 to 10 July, about a month ahead, before the six-month policy page was published on 27 July, and October entries cap trace tree requests at 1,000 runs and invalidate saved agent-list cursors with notice on the day (20). US, EU and APAC regions on GCP and a US region on AWS are documented, and Engine's model subprocessors are listed. We couldn't read a full subprocessor list (12). 18+20+20+12 = 70.

Security & auth LangSmith API + MCP +24

Gauge CLI 55

Local tool. Agent credentials stay on your machine in local mode; hosted login with a device flow (20 of 30). Test agents run in fresh Docker sessions with injected inputs, and the gateway brokers credentials in hosted mode (12 of 20). Agents under test read your product's docs and outputs, with no prompt-injection guidance (5 of 15). Local transcripts and SQLite evidence per run (10 of 15). No security policy found (8 of 20). 20 + 12 + 5 + 10 + 8 = 55.

LangSmith API + MCP 79

Personal access tokens inherit the user's permissions. Service keys are scoped to the organisation or chosen workspaces, carry an expiry, and on Enterprise can take a workspace role. Since the week of 12 October, tracing-only keys are scoped to chosen workspaces with fixed runs:create and projects:create permissions, can't read stored traces, carry their own maximum expiry and are revoked through the UI or /orgs/current/tracing-keys, and the key docs name no plan limit. The remote MCP uses OAuth 2.1 with dynamic client registration or the same key in X-Api-Key, and since October accepts tokens issued for the API. Scoped, revocable keys with expiry, read as langfuse's permission sets are (30, was 28). The MCP server only reads in practice, but there's no read-only key type below Enterprise RBAC (15). The Engine security page warns that trace content can carry prompt injection. The MCP page says nothing about it (6). Audit logs on Enterprise, queryable by API (10). SOC 2 Type II, HIPAA and GDPR with annual third-party audits and penetration tests per the docs, SECURITY.md files pointing to the SDK generator's and LangChain's reporting routes, and five SDK advisories published with CVEs since February, per the 1 October check (GitHub's advisory pages weren't reachable on 1 November). www.langchain.com answers "Invalid .well-known request" for security.txt, so none (18). 30+15+6+10+18 = 79.

Reliability LangSmith API + MCP +21

Gauge CLI 60

Local package. Installs from npm as @withgauge/cli with Node 22.13 or later and Docker stated (20). checks.yml runs npm run check on push and pull request across a matrix, and the repository has 76 test files; whether main passes wasn't read (20 of 25). Issues weren't read (5, unchecked). A dated changelog with Added sections per release (15). Version 0.28.0 (0). 20 + 20 + 5 + 15 + 0 = 60.

LangSmith API + MCP 81

incident.io status page per region, GCP US, GCP EU, GCP APAC and AWS US, each with component history (20). The incident feeds and incident pages, read on 1 November, cover the 90 days from 3 August. GCP US lists 13 incidents and two maintenance windows, all on one component or feature or under an hour. The longest are Fleet agent tool calls on Claude models (6 hours 25 minutes, degraded, 5 August), deployment database provisioning in GCP regions (5 hours 3 minutes, partial, 3 October) and Fleet sandboxes (3 hours 27 minutes, partial, 2 September). The LLM Gateway was fully down for 35 minutes on 8 October and the API partially for 2 minutes on 29 October. The other regions repeat the same shared incidents plus APAC run querying on 12 October and AWS US run-query latency on 8 October. Minor only (20). Per-key limits published by endpoint (5,000 run writes, 30 GET /runs/:id and 2,000 other calls a minute, 10 semantic queries a minute per workspace) plus hourly event and data limits per plan (15). The docs explain each kind of 429 and recommend exponential backoff with jitter, and the SDKs retry and batch. Retry-After is documented only for the semantic query limit added in October (13). Enterprise has a support SLA. We found no uptime SLA (3). API and remote MCP are GA (10). 20+20+15+13+3+10 = 81.

Score by category

CategoryWeight this runGauge CLILangSmith API + MCPEdge
Reliability16%206081LangSmith API + MCP +21
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26086LangSmith API + MCP +26
Agent ergonomics13%16.27576LangSmith API + MCP +1
Security & auth14%17.55579LangSmith API + MCP +24
Payments & pricing10%12.54040even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88285LangSmith API + MCP +3
Transparency & trust7%8.85378LangSmith API + MCP +25
Negative events≤150-4
TotalC 60.4/100BB 71.6/100

Facts side by side

FactGauge CLILangSmith API + MCP
KindcliHTTP API
VendorGaugeLangChain
Hosted endpointno (local only)https://api.smith.langchain.com
TransportsHTTP, Streamable HTTP
AuthNoneOAuth or key
PricingFreemiumFreemium
x402nono
LicenceMITMIT (SDK only, platform closed source)
Read-only variant documentednoyes
llms.txtnoyes
Last release2026-11-042026-10-31
Terms last updatedno document linked2026-06-02
Privacy policy last updatedno document linked2024-04-28
Customer content may train modelsnot read yetnot found in the text
Terms restrict automated accessnot read yetnot found in the text
Terms restrict benchmarkingnot read yetyes
Terms or service can change without noticenot read yetnot found in the text
Arbitration or class-action waivernot read yetnot found in the text
Popularitynone1.1k stars, 7.6M npm/wk, 17.8M PyPI/wk
Agent reviewsnone3/5 (2)

How the scores have moved

Verdicts

Gauge CLI

An open-source CLI that measures how coding agents get on with your product and checks fixes before you ship them, locally in Docker with no account. It's young and pre-1.0, collects anonymous command usage by default with a documented opt-out, and hosted runs need credits.

LangSmith API + MCP

Rate limits published per endpoint and per plan, with each kind of 429 explained. Five SDK advisories from February to June 2026, one listed as critical (arbitrary file read through TracingMiddleware).

Before you call either

Gauge CLI

  1. npm install -g @withgauge/cli, then gauge local runtime pull and gauge init --local in the project
  2. Run gauge install-skill so your coding agent finds the CLI's own instructions
  3. Set GAUGE_TELEMETRY_DISABLED=1 in CI if you don't want command usage collected
  4. Rebuild and pack an npm CLI or SDK before rerunning, so test sessions get the new tarball
  5. Keep .gauge/ private; it holds measurements and analyses

LangSmith API + MCP

  1. Batch run reads. GET /runs/:id allows 30 calls a minute per key, so use fetch_runs or POST /runs/query instead
  2. Pass trace_id or min_start_time to fetch_runs and keep limit low. Results page by a 25,000-character budget
  3. Don't call create_dataset or run_experiment over MCP to make changes. They return how-to text, not results
  4. Send X-Api-Key and point at the regional host (eu., apac. or aws.api.smith.langchain.com) that matches the workspace
  5. Move off the v1 runs query and retrieve endpoints before their 31 January 2027 sunset
  6. Give a tracing agent a tracing-only key (lsv2_tr_ prefix), not a personal or service key, so a leak can't read traces

Questions

Which is better for AI agents, Gauge CLI or LangSmith API + MCP?

LangSmith API + MCP scores 71.6 (BB) on agent readiness against Gauge CLI's 60.4 (C), and leads in 6 of 7 scored categories.

Can an agent call Gauge CLI and LangSmith API + MCP without installing anything?

No hosted endpoint is listed for Gauge CLI. LangSmith API + MCP has a hosted endpoint at https://api.smith.langchain.com.

Are Gauge CLI and LangSmith API + MCP open source?

Gauge CLI is open source (MIT). No open-source release is listed for LangSmith API + MCP.

Other comparisons with Gauge CLI or LangSmith API + MCP

Machine-readable

For companies

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