{ "data": { "a": { "slug": "typesafe-jev", "name": "Jev", "vendor": "TypeSafe AI", "vendorUrl": "https://typesafe.ai", "kind": "model", "category": "decision-models", "summary": "Jev is TypeSafe AI's first System One model, a closed decision model behind an HTTP API.", "url": "https://www.anchorterminal.com/tools/typesafe-jev", "markdownUrl": "https://www.anchorterminal.com/tools/typesafe-jev.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/typesafe-jev.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/typesafe-jev.json", "repo": "https://github.com/typesafe-ai/typesafe-sdk-python", "license": "Proprietary model under TypeSafe's Master Customer Agreement. The Python and TypeScript SDKs are MIT", "transports": [ "http" ], "remoteUrl": "https://api.typesafe.ai/v1/systemone", "packages": [ { "registry": "pypi", "name": "typesafe-sdk" }, { "registry": "npm", "name": "@typesafe-ai/sdk" } ], "auth": "api-key", "authNotes": "Bearer API key in the `Authorization` header, created at console.typesafe.ai/keys after signing in. The SDKs read `TYPESAFE_API_KEY`. We found no documentation of key scopes, expiry or rotation.", "pricing": "usage", "pricingNotes": "Jev 1.13 costs $0.042 per million input tokens ($42 per billion), and output tokens are free (https://docs.typesafe.ai/models). Jev is in early access with a waitlist, and we found no free tier or free credits. Credits bought under the Master Customer Agreement expire 12 months after purchase and aren't refunded on termination (https://typesafe.ai/legal/mca). Higher rate limits come with custom and enterprise plans, and zero data retention is arranged with sales.", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, the OpenAPI document or the SDKs (checked 2026-10-02).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 15, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-02" }, "docsUrl": "https://docs.typesafe.ai/introduction", "llmsTxt": "https://docs.typesafe.ai/llms.txt", "openapi": "https://api.typesafe.ai/openapi.json", "capabilities": [ "inference.decision" ], "tags": [ "hosted", "model", "closed-source", "openapi", "llms-txt", "python", "typescript", "usage-priced", "status-page", "beta" ], "lastRelease": "2026-09-26", "graded": true, "anchor": { "graded": true, "score": 62.1, "grade": "B", "agentReady": false, "rank": 309, "ranked": true, "rankOf": 629, "categoryRank": 6, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 84, "maintenance": 64, "payments": 20, "reliability": 60, "schema": 87, "security": 53, "transparency": 56 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse. Early access behind a waitlist, with no free tier or free credits found.", "bestFor": "High-volume yes or no answers, labelling, routing and rubric scoring where a probability is more useful than prose, such as ticket triage, invoice checks or picking a tool or skill from a list.", "strengths": [ "Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse", "$0.042 per million input tokens, with output tokens free", "A public OpenAPI 3.1 document, llms.txt with Markdown twins, and Python and TypeScript SDKs that retry 408, 429 and 5xx with backoff", "A known-limitations page that warns injected instructions can move an answer and lists what Jev can't do, such as counting, arithmetic and date comparison", "The privacy policy, DPA and customer agreement agree that customer data isn't used for training" ], "weaknesses": [ "Early access behind a waitlist, with no free tier or free credits found", "No SLA, and the customer agreement promises only commercially reasonable efforts to give notice of API changes", "Published limits of 40 requests a second can change without notice", "No security.txt and no stated retention period, and the trust centre and subprocessor list render only with JavaScript", "Closed and text only, with 32,000 tokens for state plus the longest question" ], "agentNotes": [ "Put every independent question about one state into a single call. They run in parallel and the state is billed once", "Pin `jev-1.13.0` instead of `jev-latest` once you've tuned confidence thresholds", "Back off exponentially on 429 and 529. The limits move with demand", "Keep state to what the decision needs. Accuracy falls as unrelated content grows, and state plus the longest question must fit in 32,000 tokens", "Treat an answer about user-supplied text as a judgement that hostile text can steer, and cap what one answer can trigger" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 62.1 } ], "editorialScores": { "ergonomics": 84, "maintenance": 64, "payments": 20, "reliability": 60, "schema": 87, "security": 53, "transparency": 41 }, "provenanceScore": 70 }, "connect": { "install": "pip install typesafe-sdk # or: npm install @typesafe-ai/sdk", "http": "curl https://api.typesafe.ai/v1/systemone \\\n -H \"Authorization: Bearer $TYPESAFE_API_KEY\" -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"jev-latest\",\"state\":\"Checkout has failed for every customer for an hour.\",\"questions\":{\"urgent\":{\"type\":\"noul\",\"instructions\":\"Is this request urgent?\"},\"team\":{\"type\":\"choice\",\"criteria\":{\"billing\":\"Payments and refunds\",\"technical\":\"Outages and errors\"}}}}'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/typesafe-jev" }, "area": "models", "unitPrices": [ { "item": "Jev 1.13 input", "unit": "1m-tokens", "usd": 0.042, "note": "Output tokens free" } ], "provenance": { "legalEntity": "TypeSafe AI, Inc.", "domain": "typesafe.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://typesafe.ai/legal/mca", "privacy": "https://typesafe.ai/legal/privacy-policy", "statusPage": "https://status.typesafe.ai", "changelog": "https://docs.typesafe.ai/sdk/python/changelog", "securityTxt": "none", "checked": "2026-10-01", "notes": [ "The Master Customer Agreement (updated 23 September 2026) governs use of the API. The site's terms of use (19 September 2026) name TypeSafe AI, Inc. and Delaware law.", "typesafe.ai/.well-known/security.txt returns 404.", "We couldn't read the domain's registration date, since RDAP refused our reader.", "The changelog is the Python SDK's. We found no changelog for the API or the model." ], "score": 70 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/typesafe-jev.json", "live": { "slug": "typesafe-jev", "probe": { "target": "https://api.typesafe.ai/v1/systemone", "method": "get", "lastAt": "2026-10-08T18:20:42.555708947Z", "lastOk": true, "lastStatus": 405, "lastMs": 213, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 191, "p95ms24h": 294, "samples24h": 272, "samples30d": 1667, "days": [ { "date": "2026-10-02", "probes": 100, "ok": 100 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 208, "ok": 208 } ] }, "vendorStatus": { "page": "https://status.typesafe.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-08T17:51:16.516148801Z" }, "versions": [ { "registry": "github", "name": "typesafe-ai/typesafe-sdk-python", "version": "v0.7.2", "released": "2026-09-26", "seenAt": "2026-10-08T16:33:07.561621607Z" }, { "registry": "npm", "name": "@typesafe-ai/sdk", "version": "0.6.0", "seenAt": "2026-10-08T16:33:07.140594035Z" }, { "registry": "pypi", "name": "typesafe-sdk", "version": "0.7.2", "released": "2026-09-26", "seenAt": "2026-10-08T16:33:06.953697003Z" } ], "githubStars": 276, "npmWeekly": 1500722, "pypiWeekly": 1035871, "securityTxt": { "url": "https://typesafe.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:47.390293407Z" }, "llmsTxt": { "url": "https://docs.typesafe.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:57.169110601Z" }, "domain": { "domain": "typesafe.ai", "registered": "2024-05-07", "source": "https://rdap.identitydigital.services/rdap/domain/typesafe.ai", "checkedAt": "2026-10-04T13:08:19.224445149Z" }, "pages": [ { "url": "https://docs.typesafe.ai/sdk/python/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:19:40.416326003Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "1652185fb0d5" }, { "url": "https://typesafe.ai/legal/privacy-policy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-07T18:10:11.143901338Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "a49423b1ada3" }, { "url": "https://typesafe.ai/legal/mca", "kind": "terms", "status": 304, "checkedAt": "2026-10-07T18:10:08.96250146Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "8c2fd90c4f15" } ], "updatedAt": "2026-10-08T18:20:42.555708947Z" } }, "answer": "Vela 2.0 scores 66.5 (B) on agent readiness against Jev's 62.1 (B), and leads in 3 of 7 scored categories. Jev leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust.", "b": { "slug": "vela", "name": "Vela 2.0", "vendor": "vLLM Semantic Router project and KR Labs", "vendorUrl": "https://vllm-sr.ai", "kind": "model", "category": "decision-models", "summary": "Vela 2.0 is a family of four open-weight decision models from the vLLM Semantic Router project and KR Labs, released on 6 October 2026 under Apache-2.0 for routing, safety checks, personal-data spans and hallucination checks.", "url": "https://www.anchorterminal.com/tools/vela", "markdownUrl": "https://www.anchorterminal.com/tools/vela.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/vela.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/vela.json", "repo": "https://github.com/vllm-project/semantic-router", "license": "Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "vllm-sr" } ], "auth": "none", "authNotes": "No account. The weights are public and ungated on Hugging Face. The bundled `vela2_serve.py` binds to 127.0.0.1 and ignores the Authorization header unless `VELA2_API_KEY` is set, after which it requires `Authorization: Bearer \u003ckey\u003e` and answers 401 otherwise. The router's model runtime has no authentication and publishes on 127.0.0.1 unless `--host` is passed.", "pricing": "free", "pricingNotes": "Free and open source, with nothing to buy and no hosted API. Hardware is the owner's cost. The 0.3B runs on a CPU, and the cards put GPU parameter memory at about 17 GB for the 4B. The router docs list about 32 GB for the 9B (checked 2026-10-08).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402. Vela 2.0 is software the owner runs, and neither server has a payment route (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 6054, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://huggingface.co/collections/vllm-sr/vela-20", "openapi": "https://raw.githubusercontent.com/vllm-project/semantic-router/main/src/model-runtime/vllm_srun/api/openapi.yaml", "capabilities": [ "inference.decision", "guard.pii", "guard.injection", "guard.moderation", "guard.self-host" ], "tags": [ "model", "open-source", "open-weights", "self-hosted", "local", "free", "python", "openapi" ], "lastRelease": "2026-10-06", "graded": true, "anchor": { "graded": true, "score": 66.5, "grade": "B", "agentReady": false, "rank": 219, "ranked": true, "rankOf": 629, "categoryRank": 4, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 79, "maintenance": 84, "payments": 60, "reliability": 57, "schema": 78, "security": 60, "transparency": 48 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "One self-hosted call answers routing, prompt-attack, personal-data and unsupported-claim questions with probabilities and character offsets, under Apache-2.0 with SHA-256 manifests. The models are days old and carry no Hub version tags, and the three larger sizes keep 74 to 89 per cent of their Decision 2.0 bases on the Jev Decision Index by the authors' figures.", "bestFor": "Self-hosted routing and guardrail checks in one call, where span offsets for personal data or unsupported claims matter.", "strengths": [ "Five question types in one request (choice, noul, score, set and span), with span answers as labelled character offsets and a probability each", "Apache-2.0 weights, code and documentation, ungated on Hugging Face, with safetensors files and a SHA256SUMS manifest in the three decoder repositories", "Two serving routes. A bundled FastAPI server on `POST /v1/systemone`, and the router's model runtime with an OpenAPI 3.0.3 contract and Prometheus metrics", "The model cards disclose evaluation protocol, including that the 0.3B release selection considered test results and that SQuAD v2 isn't zero-shot", "The router's release note lists where the 0.3B default is behind Vela 1.0, with numbers, and how to restore each Vela 1.0 model" ], "weaknesses": [ "No version tags on the four Hub repositories, and the 4B and 9B weights were replaced in place on 3 October 2026", "Loading with `transformers` needs `trust_remote_code=True`, which runs Python from the model repository", "The router's `vllm-sr serve MODEL` engine mode is newer than the 0.4.0 stable release and needs the development channel", "By the authors' figures the 4B scores 31.63 on the Jev Decision Index 0.2.1 against 42.55 for its Decision 2.0 base", "The model runtime has no authentication, and the bundled server is open unless `VELA2_API_KEY` is set" ], "agentNotes": [ "Pin a commit hash with `revision=` when loading from the Hub. The repositories have no tags and `main` has changed since launch", "Send the served name in `model`, for example `vllm-sr/Vela-2.0-4B`. The bundled server answers 422 to any other name", "Name span questions `pii`, `halu` or `toxic`, or set `\"head\": \"router\"`, to get the trained router head. Other labels go to the broad head", "Keep input under 16,384 tokens a sequence (8,192 on the 0.3B). The bundled server answers 413 when the questions alone don't fit", "Set `VELA2_API_KEY` before binding the bundled server beyond 127.0.0.1, and keep the model runtime on a trusted network" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 66.5 } ], "editorialScores": { "ergonomics": 79, "maintenance": 84, "payments": 60, "reliability": 57, "schema": 78, "security": 60, "transparency": 68 }, "provenanceScore": 27 }, "connect": { "install": "pip install torch \"transformers\u003e=5.17\" safetensors tokenizers numpy fastapi uvicorn\n# from a local snapshot of vllm-sr/Vela-2.0-4B\npython vela2_serve.py --model . --device cuda --port 8001", "http": "curl -s localhost:8001/v1/systemone -H 'content-type: application/json' \\\n -d '{\"model\":\"vllm-sr/Vela-2.0-4B\",\"state\":\"My card was charged twice and the parcel never arrived.\",\"questions\":{\"issues\":{\"type\":\"set\",\"instructions\":\"Which issues does the customer report?\",\"criteria\":{\"billing\":\"payments, charges, refunds or invoices\",\"shipping\":\"delivery of an order or a parcel\",\"login\":\"signing in, passwords or account access\"}}}}'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/vela" }, "area": "models", "provenance": { "legalEntity": "", "domain": "vllm-sr.ai", "domainRegistered": "2026-07-13", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://vllm-sr.ai/docs/release-notes/vela-2-0-built-in-signals", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "An open-source project with no company named as publisher. The site footer reads vLLM Semantic Router Team, and the model cards credit KR Labs and vLLM Semantic Router.", "RDAP gives 13 July 2026 as the registration date of vllm-sr.ai.", "Software the owner runs, so there's no hosted endpoint, terms or privacy policy. The Apache-2.0 licence stands in for terms.", "vllm-sr.ai/.well-known/security.txt returns 404. SECURITY.md in the repository takes private reports through GitHub Security Advisories.", "The weights are on huggingface.co under the vllm-sr organisation, and the code for the router and its model runtime is at github.com/vllm-project/semantic-router." ], "score": 27 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/vela.json", "live": { "slug": "vela", "versions": [ { "registry": "github", "name": "vllm-project/semantic-router", "version": "v0.4.0", "released": "2026-09-27", "seenAt": "2026-10-08T16:33:55.54175052Z" }, { "registry": "pypi", "name": "vllm-sr", "version": "0.4.0", "released": "2026-09-27", "seenAt": "2026-10-08T16:33:55.414998665Z" } ], "githubStars": 6055, "pypiWeekly": 16024, "securityTxt": { "url": "https://vllm-sr.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:46.503839021Z" }, "updatedAt": "2026-10-08T16:33:55.54175052Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "TypeSafe AI", "b": "vLLM Semantic Router project and KR Labs", "name": "Vendor" }, { "a": "https://api.typesafe.ai/v1/systemone", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "None", "name": "Auth" }, { "a": "Pay per use", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary model under TypeSafe's Master Customer Agreement. The Python and TypeScript SDKs are MIT", "b": "Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-09-26", "b": "2026-10-06", "name": "Last release" }, { "a": "no date given", "b": "no document linked", "name": "Terms last updated" }, { "a": "no date given", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "", "name": "Terms restrict automated access" }, { "a": "yes", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "15 stars", "b": "6.1k stars", "name": "Popularity" }, { "a": "3/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Vela 2.0 scores 66.5 (B) on agent readiness against Jev's 62.1 (B), and leads in 3 of 7 scored categories. Jev leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust.", "question": "Which is better for AI agents, Jev or Vela 2.0?" }, { "answer": "Jev needs an API key. Vela 2.0 needs no key.", "question": "Do Jev and Vela 2.0 need an API key?" }, { "answer": "Jev has a hosted endpoint at https://api.typesafe.ai/v1/systemone. No hosted endpoint is listed for Vela 2.0.", "question": "Can an agent call Jev and Vela 2.0 without installing anything?" }, { "answer": "No open-source release is listed for Jev. Vela 2.0 is open source (Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences).", "question": "Are Jev and Vela 2.0 open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 87 against 78", "Agent ergonomics, 84 against 79", "Transparency \u0026 trust, 56 against 48" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "High-volume yes or no answers, labelling, routing and rubric scoring where a probability is more useful than prose, such as ticket triage, invoice checks or picking a tool or skill from a list.", "slug": "typesafe-jev", "watchFor": "Early access behind a waitlist, with no free tier or free credits found" }, { "aheadOn": [ "Security \u0026 auth, 60 against 53", "Payments \u0026 pricing, 60 against 20", "Maintenance \u0026 community, 84 against 64" ], "also": [ "No key needed to call it", "Open source" ], "goodFor": "Self-hosted routing and guardrail checks in one call, where span offsets for personal data or unsupported claims matter.", "slug": "vela", "watchFor": "No version tags on the four Hub repositories, and the 4B and 9B weights were replaced in place on 3 October 2026" } ], "job": { "capability": "inference.decision", "name": "Inference decision" }, "others": [ { "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-typesafe-jev.json", "title": "Clef vs Jev", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-vela.json", "title": "Clef vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev.json", "title": "Laya vs Jev", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-vela.json", "title": "Laya vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-typesafe-jev.json", "title": "Kev vs Jev", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela.json", "title": "Kev vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev.json", "title": "Liquid d1 vs Jev", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-vela.json", "title": "Liquid d1 vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev.json", "title": "OpenAI Decisions API vs Jev", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela.json", "title": "OpenAI Decisions API vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.json", "title": "Strands Decider 2B vs Jev", "url": "https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/strands-decider-vs-vela.json", "title": "Strands Decider 2B vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/strands-decider-vs-vela" } ], "scores": [ { "by": 3, "edge": "typesafe-jev", "key": "reliability", "name": "Reliability", "typesafe-jev": 60, "vela": 57, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 9, "edge": "typesafe-jev", "key": "schema", "name": "Schema \u0026 documentation", "typesafe-jev": 87, "vela": 78, "weight": 13 }, { "by": 5, "edge": "typesafe-jev", "key": "ergonomics", "name": "Agent ergonomics", "typesafe-jev": 84, "vela": 79, "weight": 13 }, { "by": 7, "edge": "vela", "key": "security", "name": "Security \u0026 auth", "typesafe-jev": 53, "vela": 60, "weight": 14 }, { "by": 40, "edge": "vela", "key": "payments", "name": "Payments \u0026 pricing", "typesafe-jev": 20, "vela": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 20, "edge": "vela", "key": "maintenance", "name": "Maintenance \u0026 community", "typesafe-jev": 64, "vela": 84, "weight": 7 }, { "by": 8, "edge": "typesafe-jev", "key": "transparency", "name": "Transparency \u0026 trust", "typesafe-jev": 56, "vela": 48, "weight": 7 } ], "summary": "Vela 2.0 scores 66.5 (B) on agent readiness against Jev's 62.1 (B), and leads in 3 of 7 scored categories. Jev leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust. Both do inference decision.", "verdicts": { "typesafe-jev": "Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse. Early access behind a waitlist, with no free tier or free credits found.", "vela": "One self-hosted call answers routing, prompt-attack, personal-data and unsupported-claim questions with probabilities and character offsets, under Apache-2.0 with SHA-256 manifests. The models are days old and carry no Hub version tags, and the three larger sizes keep 74 to 89 per cent of their Decision 2.0 bases on the Jev Decision Index by the authors' figures." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/typesafe-jev-vs-vela", "json": "https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.md", "slim": "https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.min.md" }, "markdown": "Vela 2.0 scores 66.5 (B) on agent readiness against Jev's 62.1 (B), and leads in 3 of 7 scored categories. Jev leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust. Both do inference decision.\n\n- Jev: grade B, 62.1/100, rank #309 of 629. Markdown https://www.anchorterminal.com/tools/typesafe-jev.md · JSON https://www.anchorterminal.com/api/v1/tools/typesafe-jev.json\n- Vela 2.0: grade B, 66.5/100, rank #219 of 629. Markdown https://www.anchorterminal.com/tools/vela.md · JSON https://www.anchorterminal.com/api/v1/tools/vela.json\n\n## Which one, for what\n\n### Jev (B)\n\nGood for: High-volume yes or no answers, labelling, routing and rubric scoring where a probability is more useful than prose, such as ticket triage, invoice checks or picking a tool or skill from a list.\n\nAhead on:\n- Schema \u0026 documentation, 87 against 78\n- Agent ergonomics, 84 against 79\n- Transparency \u0026 trust, 56 against 48\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Early access behind a waitlist, with no free tier or free credits found\n\n### Vela 2.0 (B)\n\nGood for: Self-hosted routing and guardrail checks in one call, where span offsets for personal data or unsupported claims matter.\n\nAhead on:\n- Security \u0026 auth, 60 against 53\n- Payments \u0026 pricing, 60 against 20\n- Maintenance \u0026 community, 84 against 64\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: No version tags on the four Hub repositories, and the 4B and 9B weights were replaced in place on 3 October 2026\n\n\n## Score by category\n\n| Category | Weight | Jev | Vela 2.0 | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 57 | Jev +3 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 87 | 78 | Jev +9 |\n| Agent ergonomics | 13% (16.2 this run) | 84 | 79 | Jev +5 |\n| Security \u0026 auth | 14% (17.5 this run) | 53 | 60 | Vela 2.0 +7 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 60 | Vela 2.0 +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 64 | 84 | Vela 2.0 +20 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 56 | 48 | Jev +8 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **62.1 · B** | **66.5 · B** | |\n\n## Facts side by side\n\n| Fact | Jev | Vela 2.0 |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | TypeSafe AI | vLLM Semantic Router project and KR Labs |\n| Hosted endpoint | `https://api.typesafe.ai/v1/systemone` | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | None |\n| Pricing | Pay per use | Free |\n| x402 | no | no |\n| Licence | Proprietary model under TypeSafe's Master Customer Agreement. The Python and TypeScript SDKs are MIT | Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-09-26 | 2026-10-06 |\n| Terms last updated | no date given | no document linked |\n| Privacy policy last updated | no date given | no document linked |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | not found in the text | |\n| Terms restrict benchmarking | yes | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | yes | |\n| Popularity | 15 stars | 6.1k stars |\n| Agent reviews | 3/5 (2) | none |\n\n## Verdicts\n\n**Jev.** Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse. Early access behind a waitlist, with no free tier or free credits found.\n\n**Vela 2.0.** One self-hosted call answers routing, prompt-attack, personal-data and unsupported-claim questions with probabilities and character offsets, under Apache-2.0 with SHA-256 manifests. The models are days old and carry no Hub version tags, and the three larger sizes keep 74 to 89 per cent of their Decision 2.0 bases on the Jev Decision Index by the authors' figures.\n\n## Before you call either\n\n### Jev\n\n1. Put every independent question about one state into a single call. They run in parallel and the state is billed once\n2. Pin `jev-1.13.0` instead of `jev-latest` once you've tuned confidence thresholds\n3. Back off exponentially on 429 and 529. The limits move with demand\n4. Keep state to what the decision needs. Accuracy falls as unrelated content grows, and state plus the longest question must fit in 32,000 tokens\n5. Treat an answer about user-supplied text as a judgement that hostile text can steer, and cap what one answer can trigger\n\n### Vela 2.0\n\n1. Pin a commit hash with `revision=` when loading from the Hub. The repositories have no tags and `main` has changed since launch\n2. Send the served name in `model`, for example `vllm-sr/Vela-2.0-4B`. The bundled server answers 422 to any other name\n3. Name span questions `pii`, `halu` or `toxic`, or set `\"head\": \"router\"`, to get the trained router head. Other labels go to the broad head\n4. Keep input under 16,384 tokens a sequence (8,192 on the 0.3B). The bundled server answers 413 when the questions alone don't fit\n5. Set `VELA2_API_KEY` before binding the bundled server beyond 127.0.0.1, and keep the model runtime on a trusted network\n\n## Questions\n\n### Which is better for AI agents, Jev or Vela 2.0?\n\nVela 2.0 scores 66.5 (B) on agent readiness against Jev's 62.1 (B), and leads in 3 of 7 scored categories. Jev leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust.\n\n### Do Jev and Vela 2.0 need an API key?\n\nJev needs an API key. Vela 2.0 needs no key.\n\n### Can an agent call Jev and Vela 2.0 without installing anything?\n\nJev has a hosted endpoint at https://api.typesafe.ai/v1/systemone. No hosted endpoint is listed for Vela 2.0.\n\n### Are Jev and Vela 2.0 open source?\n\nNo open-source release is listed for Jev. Vela 2.0 is open source (Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.json, and with the fewest tokens: https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"typesafe-jev\", \"b\": \"vela\"}`. From a terminal: `anchor compare typesafe-jev vela`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/typesafe-jev.json and https://www.anchorterminal.com/api/v1/tools/vela.json\n\n## Other comparisons with Jev or Vela 2.0\n\n- [Clef vs Jev](https://www.anchorterminal.com/compare/cloudflare-clef-vs-typesafe-jev.md)\n- [Clef vs Vela 2.0](https://www.anchorterminal.com/compare/cloudflare-clef-vs-vela.md)\n- [Laya vs Jev](https://www.anchorterminal.com/compare/convai-laya-vs-typesafe-jev.md)\n- [Laya vs Vela 2.0](https://www.anchorterminal.com/compare/convai-laya-vs-vela.md)\n- [Kev vs Jev](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-typesafe-jev.md)\n- [Kev vs Vela 2.0](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela.md)\n- [Liquid d1 vs Jev](https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev.md)\n- [Liquid d1 vs Vela 2.0](https://www.anchorterminal.com/compare/liquid-d1-vs-vela.md)\n- [OpenAI Decisions API vs Jev](https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev.md)\n- [OpenAI Decisions API vs Vela 2.0](https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela.md)\n- [Strands Decider 2B vs Jev](https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.md)\n- [Strands Decider 2B vs Vela 2.0](https://www.anchorterminal.com/compare/strands-decider-vs-vela.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-08", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Jev vs Vela 2.0", "url": "" } ], "description": "Vela 2.0 scores 66.5 (B) on agent readiness against Jev's 62.1 (B), and leads in 3 of 7 scored categories. Jev leads on schema \u0026 documentation, agent ergonomics and transparency \u0026 trust. Both do inference decision. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Jev B 62.1", "Vela 2.0 B 66.5", "scores" ], "h1": "Jev vs Vela 2.0", "image": "https://www.anchorterminal.com/assets/og/compare-typesafe-jev-vs-vela.png", "path": "/compare/typesafe-jev-vs-vela", "published": "2026-10-01", "section": "tools", "title": "Jev vs Vela 2.0 for AI agents, B 62.1 vs B 66.5 | Anchor Terminal", "toc": null, "updated": "2026-10-08", "url": "https://www.anchorterminal.com/compare/typesafe-jev-vs-vela" }, "tokens": { "markdown": 2150, "slim": 730 }, "version": 1 }