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SGLang, Dify, Langfuse vs Onyx

Every row below is computed for the brief in section 01. Nothing here is a universal score.

Source
Registry and rules engines over one brief — nothing on this page is anchored in a fetched document yet
Evidence
none on this page — it links to the pages that hold it

01The brief this answers

No context was supplied, so this is a generic reading. Every figure below would move for a real brief.

The same tool can score differently for a different brief.

Objective
AI customer-support agent
Also
Internal company search · Document Q&A · Private company ChatGPT
Jurisdictions
none stated
Industry
unknown
Employees
unknown
Data
confidential yes · privileged unknown · personal likely · sensitive unknown
Local processing
not required
Cloud allowed
unknown
Users
unknown
Capability
unknown
Preference
no preference
Data risk
high

interpreted by: rules (deterministic mode) · confidence 40%

unresolved: organisation.industry, requirements.dataResidency, requirements.existingStack, budget, jurisdictions.primary, organisation.employees, data sensitivity, deploymentPreference, technicalCapability


Not accounted for

Nothing in this comparison depends on your industry, any residency requirement, the systems you already run, your budget, the jurisdiction you operate in, your headcount, how sensitive the material is, a hosting preference or the technical capability you have in-house — none of it was supplied. Where a figure would move for one of those, it is stated as an assumption rather than hidden inside the number.


02Comparison

4 subjects · 13 dimensions
DimensionSGLangToolSTRONG ALTERNATIVEfor self-hosted under this briefDifyToolCONSIDER IF…for enterprise SaaS under this briefLangfuseToolCONSIDER IF…for enterprise SaaS under this briefOnyxToolCONSIDER IF…for enterprise SaaS under this brief
Deployment modelRegistry entry: how this is delivered, and which solution class it is scored as.
Self-hosted

The registry records SGLang as available on self-hosted or private cloud or on-premise enterprise; it is scored here as self-hosted.

ASSESSMENT
Enterprise SaaS

The registry records Dify as available on self-hosted or vendor cloud or private cloud; it is scored here as enterprise SaaS.

ASSESSMENT
Enterprise SaaS

The registry records Langfuse as available on self-hosted or vendor cloud or private cloud; it is scored here as enterprise SaaS.

ASSESSMENT
Enterprise SaaS

The registry records Onyx as available on self-hosted or vendor cloud or private cloud; it is scored here as enterprise SaaS.

ASSESSMENT
Verdict for this briefSolution-class analysis (buildOptions) over this brief. The verdict is on the class of answer, not on the product.
STRONG ALTERNATIVE

For this brief — confidential documents — self-hosted is a strong alternative. Change the brief and this verdict changes.

RECOMMENDATION
CONSIDER IF…

For this brief — confidential documents — enterprise SaaS is conditional: worth it only if the conditions in the options section hold. Change the brief and this verdict changes.

RECOMMENDATION
CONSIDER IF…

For this brief — confidential documents — enterprise SaaS is conditional: worth it only if the conditions in the options section hold. Change the brief and this verdict changes.

RECOMMENDATION
CONSIDER IF…

For this brief — confidential documents — enterprise SaaS is conditional: worth it only if the conditions in the options section hold. Change the brief and this verdict changes.

RECOMMENDATION
Functional fitOntology overlap between the objective in this brief and the use cases the registry records for the subject (matchRecipes).
0%

Built for local LLM, private LLM, which does not include AI customer-support agent.

ASSESSMENT
100%

Covers your main objective (AI customer-support agent) and 3 of 3 secondary objectives (internal company search, document Q&A, private company ChatGPT).

ASSESSMENT
87%

Covers your main objective (AI customer-support agent) and 2 of 3 secondary objectives (internal company search, private company ChatGPT).

ASSESSMENT
87%

Covers your main objective (AI customer-support agent) and 2 of 3 secondary objectives (internal company search, document Q&A).

ASSESSMENT
Deployment fitHosting preference, data egress, headcount band and technical capability, weighted 0.30 / 0.35 / 0.15 / 0.20 (matchRecipes).
74%

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. Headcount was not stated, so the size band could not be checked.

ASSESSMENT
74%

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. Headcount was not stated, so the size band could not be checked.

ASSESSMENT
74%

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. Headcount was not stated, so the size band could not be checked.

ASSESSMENT
74%

You stated no hosting preference, so no option is favoured on that basis. No hard restriction on where processing happens was stated. Headcount was not stated, so the size band could not be checked.

ASSESSMENT
Data controlExternal transfer computed from the architecture graph of the deployment (computeExternalTransfer) — what actually crosses out of your network.
some

External data transfer: some. No catalogue deployment names SGLang, so this is read from “Customer-support agent with knowledge base and handoff”, the best-matching self-hosted deployment for this brief. Personal data leaves your premises for your own cloud tenancy ("Helpdesk / ticketing system"). You keep control of the account; the provider is a processor, so a DPA and a documented region apply.

ASSESSMENT
some

External data transfer: some. Computed from “Customer-support agent with knowledge base and handoff”, the catalogue deployment that names Dify and best matches this brief. Personal data leaves your premises for your own cloud tenancy ("Helpdesk / ticketing system"). You keep control of the account; the provider is a processor, so a DPA and a documented region apply.

ASSESSMENT
yes

External data transfer: yes. No catalogue deployment names Langfuse, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Confidential content leaves your control on the Employees → Vendor assistant (web and desktop clients) link.

ASSESSMENT
yes

External data transfer: yes. No catalogue deployment names Onyx, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Confidential content leaves your control on the Employees → Vendor assistant (web and desktop clients) link.

ASSESSMENT
Data residencyVendor documents we have fetched. A residency commitment we have not read is “unknown” — never assumed (CONTENT-RULES §5).
you decide

Self-hosted: the content stays wherever you run the server, so residency is a property of your own infrastructure rather than a vendor commitment.

ASSESSMENT
unknown

We hold no fetched residency commitment for Dify. That is a question to put to the vendor, not an assumption to make about them.

ASSESSMENT
unknown

We hold no fetched residency commitment for Langfuse. That is a question to put to the vendor, not an assumption to make about them. The vendor is headquartered in European Union, which is where a transfer question starts, not where it ends.

ASSESSMENT
unknown

We hold no fetched residency commitment for Onyx. That is a question to put to the vendor, not an assumption to make about them. The vendor is headquartered in the United States, which is where a transfer question starts, not where it ends.

ASSESSMENT
Governance controlsThe four commitments a processor is asked for — DPA, subprocessor list, no training on your content, zero retention — counted against fetched vendor documents.
not applicable

Run on your own infrastructure, so the vendor questions apply only to whatever you still buy. We hold none of the four commitments for this subject, and for a self-hosted deployment none of them is required.

ASSESSMENT
unknown

We have fetched none of the four commitments for Dify: data processing agreement, subprocessor list, training on customer data, zero retention option. Each is a question for the vendor, and until it is answered it is unknown rather than absent.

ASSESSMENT
unknown

We have fetched none of the four commitments for Langfuse: data processing agreement, subprocessor list, training on customer data, zero retention option. Each is a question for the vendor, and until it is answered it is unknown rather than absent.

ASSESSMENT
unknown

We have fetched none of the four commitments for Onyx: data processing agreement, subprocessor list, training on customer data, zero retention option. Each is a question for the vendor, and until it is answered it is unknown rather than absent.

ASSESSMENT
Integration effortThe FDE-day band the catalogue deployment was costed from (RECIPE_IMPLEMENTATION_DAYS).
10–25 FDE-days

10–25 FDE-days to implement. No catalogue deployment names SGLang, so this is read from “Customer-support agent with knowledge base and handoff”, the best-matching self-hosted deployment for this brief.

ASSESSMENT
10–25 FDE-days

10–25 FDE-days to implement. Computed from “Customer-support agent with knowledge base and handoff”, the catalogue deployment that names Dify and best matches this brief.

ASSESSMENT
4–12 FDE-days

4–12 FDE-days to implement. No catalogue deployment names Langfuse, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief.

ASSESSMENT
4–12 FDE-days

4–12 FDE-days to implement. No catalogue deployment names Onyx, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief.

ASSESSMENT
Maintenance burdenWho operates the result, read from the solution class and the difficulty factors the deployment carries.
you operate it

You own GPU drivers and the model server, the connectors and their credentials, operating-system patching and backups. Assessed difficulty 3/5 is the shape of that work; someone has to hold it after go-live.

ASSESSMENT
vendor-operated

The vendor runs the service. Your standing work is access control, the policy staff work under, and re-reading the contract and subprocessor list when they change — not patching or capacity.

ASSESSMENT
vendor-operated

The vendor runs the service. Your standing work is access control, the policy staff work under, and re-reading the contract and subprocessor list when they change — not patching or capacity.

ASSESSMENT
vendor-operated

The vendor runs the service. Your standing work is access control, the policy staff work under, and re-reading the contract and subprocessor list when they change — not patching or capacity.

ASSESSMENT
Deployment difficultyDifficulty 1–5 for the deployment and for this team (scoreDifficulty): the same stack scores lower for an organisation with its own engineers.
3/5

3/5. Starting point 2/5: software you install, run and keep running on your own machines. +0.5 You run the model server yourself: GPU drivers, quantisation choice, memory headroom and restarts are all yours to own.

ASSESSMENT
3/5

3/5. Starting point 2/5: software you install, run and keep running on your own machines. +0.5 You run the model server yourself: GPU drivers, quantisation choice, memory headroom and restarts are all yours to own.

ASSESSMENT
2/5

2/5. Starting point 1/5: a vendor product, configured rather than installed. +0.5 Single sign-on adds an identity provider, group-to-role mapping and a joiner/leaver process to the deployment.

ASSESSMENT
2/5

2/5. Starting point 1/5: a vendor product, configured rather than installed. +0.5 Single sign-on adds an identity provider, group-to-role mapping and a joiner/leaver process to the deployment.

ASSESSMENT
Estimated costIndicative cost for this headcount (estimateCost), plus any per-token price we have actually fetched. A price we have not read is not printed.
USD 20,000 – 70,000

USD 20,000 – 70,000 — one-off — for SGLang at this headcount. No catalogue deployment names SGLang, so this is read from “Customer-support agent with knowledge base and handoff”, the best-matching self-hosted deployment for this brief.

ASSESSMENT
USD 20,000 – 70,000 + licences

USD 20,000 – 70,000 — one-off — for Dify at this headcount. Computed from “Customer-support agent with knowledge base and handoff”, the catalogue deployment that names Dify and best matches this brief. Licences are not in that figure: no per-seat price has been read from the vendor’s own pricing page, so the software line is excluded from the total rather than guessed. Read it as implementation only.

ASSESSMENT
USD 3,100 – 23,000 + licences

USD 3,100 – 23,000 — one-off — for Langfuse at this headcount. No catalogue deployment names Langfuse, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Licences are not in that figure: no per-seat price has been read from the vendor’s own pricing page, so the software line is excluded from the total rather than guessed. Read it as implementation only.

ASSESSMENT
USD 3,100 – 23,000 + licences

USD 3,100 – 23,000 — one-off — for Onyx at this headcount. No catalogue deployment names Onyx, so this is read from “Enterprise SaaS assistant with governance controls”, the best-matching enterprise SaaS deployment for this brief. Licences are not in that figure: no per-seat price has been read from the vendor’s own pricing page, so the software line is excluded from the total rather than guessed. Read it as implementation only.

ASSESSMENT
CustomisationRegistry entry: whether the source is open and where the deployment can be changed.
source available

The registry files SGLang as open source, so the interface, retrieval behaviour and the model behind it can be changed — subject to the licence, which is a fetched fact on its own page.

ASSESSMENT
source available

The registry files Dify as open source, so the interface, retrieval behaviour and the model behind it can be changed — subject to the licence, which is a fetched fact on its own page.

ASSESSMENT
source available

The registry files Langfuse as open source, so the interface, retrieval behaviour and the model behind it can be changed — subject to the licence, which is a fetched fact on its own page.

ASSESSMENT
source available

The registry files Onyx as open source, so the interface, retrieval behaviour and the model behind it can be changed — subject to the licence, which is a fetched fact on its own page.

ASSESSMENT
Relevant compliance evidenceThe compliance engine over this brief and this subject (assessCompliance), with each issue cited to the instrument it quotes where the page was fetched.
7 issues · 0 cited

7 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.

ASSESSMENT
8 issues · 0 cited

8 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.

ASSESSMENT
8 issues · 0 cited

8 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.

ASSESSMENT
8 issues · 0 cited

8 issues spotted for this brief, 0 of them legal requirements; 0 carry a quote from the instrument they rest on. Leading with: Confidentiality duties bind independently of data protection law.

ASSESSMENT

Add one that serves the same objective

This table is full at 4 subjects. Remove one to add another — beyond four, the columns stop being readable and the comparison stops being one.

  • Amazon Bedrock
  • Flowise
  • Intercom Fin
  • LangChain
  • Langflow
  • LiveKit Agents
  • Pipecat
  • Vapi

03What this does not tell you

  • WARNINGCompare no jurisdictioncompare_no_jurisdiction

    No jurisdiction was supplied, so only the cross-cutting rules ran. A comparison for a regulated deployment should name one.

  • MINORCompare objective derivedcompare_objective_derived

    No objective was given, so functional fit is measured against AI customer-support agent — the use case most of these subjects share. Add one to the link to measure a different job.

  • MINORCompare recipe substitutedcompare_recipe_substituted

    No catalogue deployment names SGLang, so its cost, effort and difficulty are read from “Customer-support agent with knowledge base and handoff”, the closest self-hosted deployment for this brief.

  • MINORCompare recipe substitutedcompare_recipe_substituted

    No catalogue deployment names Langfuse, so its cost, effort and difficulty are read from “Enterprise SaaS assistant with governance controls”, the closest enterprise SaaS deployment for this brief.

  • MINORCompare recipe substitutedcompare_recipe_substituted

    No catalogue deployment names Onyx, so its cost, effort and difficulty are read from “Enterprise SaaS assistant with governance controls”, the closest enterprise SaaS deployment for this brief.

Structured issue-spotting to support your own review — not legal advice. Verify against the cited primary sources and your counsel.


04Evidence

0 records

No sources were recorded for this answer. Nothing on this page should be treated as verified.


05Next