From ef263ac0749873a7b1865e47c34de00a95411306 Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Thu, 27 Nov 2025 09:27:22 +0000
Subject: [PATCH 1/8] Initial plan
From 6ecfcb845cad3ad8feb7b2267c6090b8e7f1184b Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Thu, 27 Nov 2025 09:38:44 +0000
Subject: [PATCH 2/8] Initial plan
Co-authored-by: AyRickk <94455465+AyRickk@users.noreply.github.com>
---
core/package-lock.json | 144 +++++++++++++++++++++++++++++++----------
package-lock.json | 113 ++++++++++++++++++++++++++------
2 files changed, 203 insertions(+), 54 deletions(-)
diff --git a/core/package-lock.json b/core/package-lock.json
index 53a2e7f52b9..eb21702ff4d 100644
--- a/core/package-lock.json
+++ b/core/package-lock.json
@@ -270,6 +270,7 @@
"version": "1.1.2",
"resolved": "https://registry.npmjs.org/@75lb/deep-merge/-/deep-merge-1.1.2.tgz",
"integrity": "sha512-08K9ou5VNbheZFxM5tDWoqjA3ImC50DiuuJ2tj1yEPRfkp8lLLg6XAaJ4On+a0yAXor/8ay5gHnAIshRM44Kpw==",
+ "peer": true,
"dependencies": {
"lodash": "^4.17.21",
"typical": "^7.1.1"
@@ -282,6 +283,7 @@
"version": "7.3.0",
"resolved": "https://registry.npmjs.org/typical/-/typical-7.3.0.tgz",
"integrity": "sha512-ya4mg/30vm+DOWfBg4YK3j2WD6TWtRkCbasOJr40CseYENzCUby/7rIvXA99JGsQHeNxLbnXdyLLxKSv3tauFw==",
+ "peer": true,
"engines": {
"node": ">=12.17"
}
@@ -1322,7 +1324,6 @@
"version": "7.26.0",
"resolved": "https://registry.npmjs.org/@babel/core/-/core-7.26.0.tgz",
"integrity": "sha512-i1SLeK+DzNnQ3LL/CswPCa/E5u4lh1k6IAEphON8F+cXt0t9euTshDru0q7/IqMa1PMPz5RnHuHscF8/ZJsStg==",
- "peer": true,
"dependencies": {
"@ampproject/remapping": "^2.2.0",
"@babel/code-frame": "^7.26.0",
@@ -4471,7 +4472,6 @@
"version": "5.2.0",
"resolved": "https://registry.npmjs.org/@octokit/core/-/core-5.2.0.tgz",
"integrity": "sha512-1LFfa/qnMQvEOAdzlQymH0ulepxbxnCYAKJZfMci/5XJyIHWgEYnDmgnKakbTh7CH2tFQ5O60oYDvns4i9RAIg==",
- "peer": true,
"dependencies": {
"@octokit/auth-token": "^4.0.0",
"@octokit/graphql": "^7.1.0",
@@ -4616,7 +4616,6 @@
"resolved": "https://registry.npmjs.org/@opentelemetry/api/-/api-1.9.0.tgz",
"integrity": "sha512-3giAOQvZiH5F9bMlMiv8+GSPMeqg0dbaeo58/0SlA9sxSqZhnUtxzX9/2FzyhS9sWQf5S0GJE0AKBrFqjpeYcg==",
"license": "Apache-2.0",
- "peer": true,
"engines": {
"node": ">=8.0.0"
}
@@ -4638,7 +4637,6 @@
"resolved": "https://registry.npmjs.org/@opentelemetry/context-async-hooks/-/context-async-hooks-1.30.1.tgz",
"integrity": "sha512-s5vvxXPVdjqS3kTLKMeBMvop9hbWkwzBpu+mUO2M7sZtlkyDJGwFe33wRKnbaYDo8ExRVBIIdwIGrqpxHuKttA==",
"license": "Apache-2.0",
- "peer": true,
"engines": {
"node": ">=14"
},
@@ -4651,7 +4649,6 @@
"resolved": "https://registry.npmjs.org/@opentelemetry/core/-/core-1.30.1.tgz",
"integrity": "sha512-OOCM2C/QIURhJMuKaekP3TRBxBKxG/TWWA0TL2J6nXUtDnuCtccy49LUJF8xPFXMX+0LMcxFpCo8M9cGY1W6rQ==",
"license": "Apache-2.0",
- "peer": true,
"dependencies": {
"@opentelemetry/semantic-conventions": "1.28.0"
},
@@ -5171,7 +5168,6 @@
"resolved": "https://registry.npmjs.org/@opentelemetry/resources/-/resources-1.30.1.tgz",
"integrity": "sha512-5UxZqiAgLYGFjS4s9qm5mBVo433u+dSPUFWVWXmLAD4wB65oMCoXaJP1KJa9DIYYMeHu3z4BZcStG3LC593cWA==",
"license": "Apache-2.0",
- "peer": true,
"dependencies": {
"@opentelemetry/core": "1.30.1",
"@opentelemetry/semantic-conventions": "1.28.0"
@@ -5197,7 +5193,6 @@
"resolved": "https://registry.npmjs.org/@opentelemetry/sdk-trace-base/-/sdk-trace-base-1.30.1.tgz",
"integrity": "sha512-jVPgBbH1gCy2Lb7X0AVQ8XAfgg0pJ4nvl8/IiQA6nxOsPvS+0zMJaFSs2ltXe0J6C8dqjcnpyqINDJmU30+uOg==",
"license": "Apache-2.0",
- "peer": true,
"dependencies": {
"@opentelemetry/core": "1.30.1",
"@opentelemetry/resources": "1.30.1",
@@ -5224,7 +5219,6 @@
"resolved": "https://registry.npmjs.org/@opentelemetry/semantic-conventions/-/semantic-conventions-1.36.0.tgz",
"integrity": "sha512-TtxJSRD8Ohxp6bKkhrm27JRHAxPczQA7idtcTOMYI+wQRRrfgqxHv1cFbCApcSnNjtXkmzFozn6jQtFrOmbjPQ==",
"license": "Apache-2.0",
- "peer": true,
"engines": {
"node": ">=14"
}
@@ -5635,7 +5629,8 @@
"node_modules/@rtsao/scc": {
"version": "1.1.0",
"resolved": "https://registry.npmjs.org/@rtsao/scc/-/scc-1.1.0.tgz",
- "integrity": "sha512-zt6OdqaDoOnJ1ZYsCYGt9YmWzDXl4vQdKTyJev62gFhRGKdx7mcT54V9KIjg+d2wi9EXsPvAPKe7i7WjfVWB8g=="
+ "integrity": "sha512-zt6OdqaDoOnJ1ZYsCYGt9YmWzDXl4vQdKTyJev62gFhRGKdx7mcT54V9KIjg+d2wi9EXsPvAPKe7i7WjfVWB8g==",
+ "peer": true
},
"node_modules/@sentry/babel-plugin-component-annotate": {
"version": "4.0.2",
@@ -6850,12 +6845,14 @@
"node_modules/@types/command-line-args": {
"version": "5.2.0",
"resolved": "https://registry.npmjs.org/@types/command-line-args/-/command-line-args-5.2.0.tgz",
- "integrity": "sha512-UuKzKpJJ/Ief6ufIaIzr3A/0XnluX7RvFgwkV89Yzvm77wCh1kFaFmqN8XEnGcN62EuHdedQjEMb8mYxFLGPyA=="
+ "integrity": "sha512-UuKzKpJJ/Ief6ufIaIzr3A/0XnluX7RvFgwkV89Yzvm77wCh1kFaFmqN8XEnGcN62EuHdedQjEMb8mYxFLGPyA==",
+ "peer": true
},
"node_modules/@types/command-line-usage": {
"version": "5.0.2",
"resolved": "https://registry.npmjs.org/@types/command-line-usage/-/command-line-usage-5.0.2.tgz",
- "integrity": "sha512-n7RlEEJ+4x4TS7ZQddTmNSxP+zziEG0TNsMfiRIxcIVXt71ENJ9ojeXmGO3wPoTdn7pJcU2xc3CJYMktNT6DPg=="
+ "integrity": "sha512-n7RlEEJ+4x4TS7ZQddTmNSxP+zziEG0TNsMfiRIxcIVXt71ENJ9ojeXmGO3wPoTdn7pJcU2xc3CJYMktNT6DPg==",
+ "peer": true
},
"node_modules/@types/connect": {
"version": "3.4.38",
@@ -6971,7 +6968,8 @@
"node_modules/@types/json5": {
"version": "0.0.29",
"resolved": "https://registry.npmjs.org/@types/json5/-/json5-0.0.29.tgz",
- "integrity": "sha512-dRLjCWHYg4oaA77cxO64oO+7JwCwnIzkZPdrrC71jQmQtlhM556pwKo5bUzqvZndkVbeFLIIi+9TC40JNF5hNQ=="
+ "integrity": "sha512-dRLjCWHYg4oaA77cxO64oO+7JwCwnIzkZPdrrC71jQmQtlhM556pwKo5bUzqvZndkVbeFLIIi+9TC40JNF5hNQ==",
+ "peer": true
},
"node_modules/@types/long": {
"version": "4.0.2",
@@ -7036,7 +7034,8 @@
"node_modules/@types/pad-left": {
"version": "2.1.1",
"resolved": "https://registry.npmjs.org/@types/pad-left/-/pad-left-2.1.1.tgz",
- "integrity": "sha512-Xd22WCRBydkGSApl5Bw0PhAOHKSVjNL3E3AwzKaps96IMraPqy5BvZIsBVK6JLwdybUzjHnuWVwpDd0JjTfHXA=="
+ "integrity": "sha512-Xd22WCRBydkGSApl5Bw0PhAOHKSVjNL3E3AwzKaps96IMraPqy5BvZIsBVK6JLwdybUzjHnuWVwpDd0JjTfHXA==",
+ "peer": true
},
"node_modules/@types/pg": {
"version": "8.11.10",
@@ -7245,7 +7244,6 @@
"integrity": "sha512-jCNyAuXx8dr5KJMkecGmZ8KI61KBUhkCob+SD+C+I5+Y1FWI2Y3QmY4/cxMCC5WAsZqoEtEETVhUiUMIGCf6Bw==",
"dev": true,
"license": "MIT",
- "peer": true,
"dependencies": {
"@typescript-eslint/scope-manager": "8.40.0",
"@typescript-eslint/types": "8.40.0",
@@ -7669,7 +7667,6 @@
"version": "8.14.0",
"resolved": "https://registry.npmjs.org/acorn/-/acorn-8.14.0.tgz",
"integrity": "sha512-cl669nCJTZBsL97OF4kUQm5g5hC2uihk0NxY3WENAC0TYdILVkAyHymAntgxGkl7K+t0cXIrH5siy5S4XkFycA==",
- "peer": true,
"bin": {
"acorn": "bin/acorn"
},
@@ -7884,6 +7881,7 @@
"version": "3.1.0",
"resolved": "https://registry.npmjs.org/array-back/-/array-back-3.1.0.tgz",
"integrity": "sha512-TkuxA4UCOvxuDK6NZYXCalszEzj+TLszyASooky+i742l9TqsOdYCMJJupxRic61hwquNtppB3hgcuq9SVSH1Q==",
+ "peer": true,
"engines": {
"node": ">=6"
}
@@ -7892,6 +7890,7 @@
"version": "1.0.1",
"resolved": "https://registry.npmjs.org/array-buffer-byte-length/-/array-buffer-byte-length-1.0.1.tgz",
"integrity": "sha512-ahC5W1xgou+KTXix4sAO8Ki12Q+jf4i0+tmk3sC+zgcynshkHxzpXdImBehiUYKKKDwvfFiJl1tZt6ewscS1Mg==",
+ "peer": true,
"dependencies": {
"call-bind": "^1.0.5",
"is-array-buffer": "^3.0.4"
@@ -7907,6 +7906,7 @@
"version": "3.1.8",
"resolved": "https://registry.npmjs.org/array-includes/-/array-includes-3.1.8.tgz",
"integrity": "sha512-itaWrbYbqpGXkGhZPGUulwnhVf5Hpy1xiCFsGqyIGglbBxmG5vSjxQen3/WGOjPpNEv1RtBLKxbmVXm8HpJStQ==",
+ "peer": true,
"dependencies": {
"call-bind": "^1.0.7",
"define-properties": "^1.2.1",
@@ -7931,6 +7931,7 @@
"version": "1.2.5",
"resolved": "https://registry.npmjs.org/array.prototype.findlastindex/-/array.prototype.findlastindex-1.2.5.tgz",
"integrity": "sha512-zfETvRFA8o7EiNn++N5f/kaCw221hrpGsDmcpndVupkPzEc1Wuf3VgC0qby1BbHs7f5DVYjgtEU2LLh5bqeGfQ==",
+ "peer": true,
"dependencies": {
"call-bind": "^1.0.7",
"define-properties": "^1.2.1",
@@ -7950,6 +7951,7 @@
"version": "1.3.2",
"resolved": "https://registry.npmjs.org/array.prototype.flat/-/array.prototype.flat-1.3.2.tgz",
"integrity": "sha512-djYB+Zx2vLewY8RWlNCUdHjDXs2XOgm602S9E7P/UpHgfeHL00cRiIF+IN/G/aUJ7kGPb6yO/ErDI5V2s8iycA==",
+ "peer": true,
"dependencies": {
"call-bind": "^1.0.2",
"define-properties": "^1.2.0",
@@ -7967,6 +7969,7 @@
"version": "1.3.2",
"resolved": "https://registry.npmjs.org/array.prototype.flatmap/-/array.prototype.flatmap-1.3.2.tgz",
"integrity": "sha512-Ewyx0c9PmpcsByhSW4r+9zDU7sGjFc86qf/kKtuSCRdhfbk0SNLLkaT5qvcHnRGgc5NP/ly/y+qkXkqONX54CQ==",
+ "peer": true,
"dependencies": {
"call-bind": "^1.0.2",
"define-properties": "^1.2.0",
@@ -7984,6 +7987,7 @@
"version": "1.0.3",
"resolved": "https://registry.npmjs.org/arraybuffer.prototype.slice/-/arraybuffer.prototype.slice-1.0.3.tgz",
"integrity": "sha512-bMxMKAjg13EBSVscxTaYA4mRc5t1UAXa2kXiGTNfZ079HIWXEkKmkgFrh/nJqamaLSrXO5H4WFFkPEaLJWbs3A==",
+ "peer": true,
"dependencies": {
"array-buffer-byte-length": "^1.0.1",
"call-bind": "^1.0.5",
@@ -8060,6 +8064,7 @@
"version": "1.0.7",
"resolved": "https://registry.npmjs.org/available-typed-arrays/-/available-typed-arrays-1.0.7.tgz",
"integrity": "sha512-wvUjBtSGN7+7SjNpq/9M2Tg350UZD3q62IFZLbRAR1bSMlCo1ZaeW+BJ+D090e4hIIZLBcTDWe4Mh4jvUDajzQ==",
+ "peer": true,
"dependencies": {
"possible-typed-array-names": "^1.0.0"
},
@@ -8515,7 +8520,6 @@
"url": "https://github.com/sponsors/ai"
}
],
- "peer": true,
"dependencies": {
"caniuse-lite": "^1.0.30001669",
"electron-to-chromium": "^1.5.41",
@@ -8821,6 +8825,7 @@
"version": "0.4.0",
"resolved": "https://registry.npmjs.org/chalk-template/-/chalk-template-0.4.0.tgz",
"integrity": "sha512-/ghrgmhfY8RaSdeo43hNXxpoHAtxdbskUHjPpfqUWGttFgycUhYPGx3YZBCnUCvOa7Doivn1IZec3DEGFoMgLg==",
+ "peer": true,
"dependencies": {
"chalk": "^4.1.2"
},
@@ -9129,6 +9134,7 @@
"version": "5.2.1",
"resolved": "https://registry.npmjs.org/command-line-args/-/command-line-args-5.2.1.tgz",
"integrity": "sha512-H4UfQhZyakIjC74I9d34fGYDwk3XpSr17QhEd0Q3I9Xq1CETHo4Hcuo87WyWHpAF1aSLjLRf5lD9ZGX2qStUvg==",
+ "peer": true,
"dependencies": {
"array-back": "^3.1.0",
"find-replace": "^3.0.0",
@@ -9143,6 +9149,7 @@
"version": "7.0.1",
"resolved": "https://registry.npmjs.org/command-line-usage/-/command-line-usage-7.0.1.tgz",
"integrity": "sha512-NCyznE//MuTjwi3y84QVUGEOT+P5oto1e1Pk/jFPVdPPfsG03qpTIl3yw6etR+v73d0lXsoojRpvbru2sqePxQ==",
+ "peer": true,
"dependencies": {
"array-back": "^6.2.2",
"chalk-template": "^0.4.0",
@@ -9157,6 +9164,7 @@
"version": "6.2.2",
"resolved": "https://registry.npmjs.org/array-back/-/array-back-6.2.2.tgz",
"integrity": "sha512-gUAZ7HPyb4SJczXAMUXMGAvI976JoK3qEx9v1FTmeYuJj0IBiaKttG1ydtGKdkfqWkIkouke7nG8ufGy77+Cvw==",
+ "peer": true,
"engines": {
"node": ">=12.17"
}
@@ -9165,6 +9173,7 @@
"version": "7.3.0",
"resolved": "https://registry.npmjs.org/typical/-/typical-7.3.0.tgz",
"integrity": "sha512-ya4mg/30vm+DOWfBg4YK3j2WD6TWtRkCbasOJr40CseYENzCUby/7rIvXA99JGsQHeNxLbnXdyLLxKSv3tauFw==",
+ "peer": true,
"engines": {
"node": ">=12.17"
}
@@ -9432,6 +9441,7 @@
"version": "1.0.1",
"resolved": "https://registry.npmjs.org/data-view-buffer/-/data-view-buffer-1.0.1.tgz",
"integrity": "sha512-0lht7OugA5x3iJLOWFhWK/5ehONdprk0ISXqVFn/NFrDu+cuc8iADFrGQz5BnRK7LLU3JmkbXSxaqX+/mXYtUA==",
+ "peer": true,
"dependencies": {
"call-bind": "^1.0.6",
"es-errors": "^1.3.0",
@@ -9448,6 +9458,7 @@
"version": "1.0.1",
"resolved": "https://registry.npmjs.org/data-view-byte-length/-/data-view-byte-length-1.0.1.tgz",
"integrity": "sha512-4J7wRJD3ABAzr8wP+OcIcqq2dlUKp4DVflx++hs5h5ZKydWMI6/D/fAot+yh6g2tHh8fLFTvNOaVN357NvSrOQ==",
+ "peer": true,
"dependencies": {
"call-bind": "^1.0.7",
"es-errors": "^1.3.0",
@@ -9464,6 +9475,7 @@
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/data-view-byte-offset/-/data-view-byte-offset-1.0.0.tgz",
"integrity": "sha512-t/Ygsytq+R995EJ5PZlD4Cu56sWa8InXySaViRzw9apusqsOO2bQP+SbYzAhR0pFKoB+43lYy8rWban9JSuXnA==",
+ "peer": true,
"dependencies": {
"call-bind": "^1.0.6",
"es-errors": "^1.3.0",
@@ -9702,8 +9714,7 @@
"version": "0.0.1521046",
"resolved": "https://registry.npmjs.org/devtools-protocol/-/devtools-protocol-0.0.1521046.tgz",
"integrity": "sha512-vhE6eymDQSKWUXwwA37NtTTVEzjtGVfDr3pRbsWEQ5onH/Snp2c+2xZHWJJawG/0hCCJLRGt4xVtEVUVILol4w==",
- "license": "BSD-3-Clause",
- "peer": true
+ "license": "BSD-3-Clause"
},
"node_modules/diff": {
"version": "7.0.0",
@@ -10021,6 +10032,7 @@
"version": "1.23.5",
"resolved": "https://registry.npmjs.org/es-abstract/-/es-abstract-1.23.5.tgz",
"integrity": "sha512-vlmniQ0WNPwXqA0BnmwV3Ng7HxiGlh6r5U6JcTMNx8OilcAGqVJBHJcPjqOMaczU9fRuRK5Px2BdVyPRnKMMVQ==",
+ "peer": true,
"dependencies": {
"array-buffer-byte-length": "^1.0.1",
"arraybuffer.prototype.slice": "^1.0.3",
@@ -10129,6 +10141,7 @@
"version": "1.0.2",
"resolved": "https://registry.npmjs.org/es-shim-unscopables/-/es-shim-unscopables-1.0.2.tgz",
"integrity": "sha512-J3yBRXCzDu4ULnQwxyToo/OjdMx6akgVC7K6few0a7F/0wLtmKKN7I73AH5T2836UuXRqN7Qg+IIUw/+YJksRw==",
+ "peer": true,
"dependencies": {
"hasown": "^2.0.0"
}
@@ -10137,6 +10150,7 @@
"version": "1.3.0",
"resolved": "https://registry.npmjs.org/es-to-primitive/-/es-to-primitive-1.3.0.tgz",
"integrity": "sha512-w+5mJ3GuFL+NjVtJlvydShqE1eN3h3PbI7/5LAsYJP/2qtuMXjfL2LpHSRqo4b4eSF5K/DH1JXKUAHSB2UW50g==",
+ "peer": true,
"dependencies": {
"is-callable": "^1.2.7",
"is-date-object": "^1.0.5",
@@ -10592,7 +10606,6 @@
"resolved": "https://registry.npmjs.org/eslint/-/eslint-8.57.1.tgz",
"integrity": "sha512-ypowyDxpVSYpkXr9WPv2PAZCtNip1Mv5KTW0SCurXv/9iOpcrH9PaqUElksqEB6pChqHGDRCFTyrZlGhnLNGiA==",
"deprecated": "This version is no longer supported. Please see https://eslint.org/version-support for other options.",
- "peer": true,
"dependencies": {
"@eslint-community/eslint-utils": "^4.2.0",
"@eslint-community/regexpp": "^4.6.1",
@@ -10677,6 +10690,7 @@
"version": "0.3.9",
"resolved": "https://registry.npmjs.org/eslint-import-resolver-node/-/eslint-import-resolver-node-0.3.9.tgz",
"integrity": "sha512-WFj2isz22JahUv+B788TlO3N6zL3nNJGU8CcZbPZvVEkBPaJdCV4vy5wyghty5ROFbCRnm132v8BScu5/1BQ8g==",
+ "peer": true,
"dependencies": {
"debug": "^3.2.7",
"is-core-module": "^2.13.0",
@@ -10687,6 +10701,7 @@
"version": "3.2.7",
"resolved": "https://registry.npmjs.org/debug/-/debug-3.2.7.tgz",
"integrity": "sha512-CFjzYYAi4ThfiQvizrFQevTTXHtnCqWfe7x1AhgEscTz6ZbLbfoLRLPugTQyBth6f8ZERVUSyWHFD/7Wu4t1XQ==",
+ "peer": true,
"dependencies": {
"ms": "^2.1.1"
}
@@ -10695,6 +10710,7 @@
"version": "2.12.0",
"resolved": "https://registry.npmjs.org/eslint-module-utils/-/eslint-module-utils-2.12.0.tgz",
"integrity": "sha512-wALZ0HFoytlyh/1+4wuZ9FJCD/leWHQzzrxJ8+rebyReSLk7LApMyd3WJaLVoN+D5+WIdJyDK1c6JnE65V4Zyg==",
+ "peer": true,
"dependencies": {
"debug": "^3.2.7"
},
@@ -10711,6 +10727,7 @@
"version": "3.2.7",
"resolved": "https://registry.npmjs.org/debug/-/debug-3.2.7.tgz",
"integrity": "sha512-CFjzYYAi4ThfiQvizrFQevTTXHtnCqWfe7x1AhgEscTz6ZbLbfoLRLPugTQyBth6f8ZERVUSyWHFD/7Wu4t1XQ==",
+ "peer": true,
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+ "peer": true,
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- "peer": true,
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- "peer": true,
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+ "peer": true,
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+ "peer": true,
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+ "peer": true,
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+ "peer": true,
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@@ -20264,7 +20343,6 @@
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- "peer": true,
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- "peer": true,
"bin": {
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},
@@ -20393,7 +20470,6 @@
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"license": "MIT",
- "peer": true,
"funding": {
"url": "https://github.com/sponsors/colinhacks"
}
diff --git a/package-lock.json b/package-lock.json
index 095609e8f5f..88c4caf915f 100644
--- a/package-lock.json
+++ b/package-lock.json
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"dev": true,
"license": "MIT",
+ "peer": true,
"dependencies": {
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},
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"dev": true,
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+ "peer": true,
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+ "peer": true,
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"dev": true,
"license": "MIT",
+ "peer": true,
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"concat-map": "0.0.1"
@@ -86,6 +90,7 @@
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"dev": true,
"license": "ISC",
+ "peer": true,
"dependencies": {
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"dev": true,
"license": "MIT",
+ "peer": true,
"engines": {
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@@ -110,6 +116,7 @@
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"license": "Apache-2.0",
+ "peer": true,
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"dev": true,
"license": "MIT",
+ "peer": true,
"dependencies": {
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"concat-map": "0.0.1"
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"dev": true,
"license": "ISC",
+ "peer": true,
"dependencies": {
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},
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"dev": true,
"license": "Apache-2.0",
+ "peer": true,
"engines": {
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},
@@ -163,7 +173,8 @@
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"deprecated": "Use @eslint/object-schema instead",
"dev": true,
- "license": "BSD-3-Clause"
+ "license": "BSD-3-Clause",
+ "peer": true
},
"node_modules/@nodelib/fs.scandir": {
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@@ -370,7 +381,8 @@
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"dev": true,
- "license": "ISC"
+ "license": "ISC",
+ "peer": true
},
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@@ -392,6 +404,7 @@
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"dev": true,
"license": "MIT",
+ "peer": true,
"peerDependencies": {
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}
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"dev": true,
"license": "MIT",
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},
@@ -4217,7 +4284,8 @@
"resolved": "https://registry.npmjs.org/text-table/-/text-table-0.2.0.tgz",
"integrity": "sha512-N+8UisAXDGk8PFXP4HAzVR9nbfmVJ3zYLAWiTIoqC5v5isinhr+r5uaO8+7r3BMfuNIufIsA7RdpVgacC2cSpw==",
"dev": true,
- "license": "MIT"
+ "license": "MIT",
+ "peer": true
},
"node_modules/to-regex-range": {
"version": "5.0.1",
@@ -4280,6 +4348,7 @@
"integrity": "sha512-XleUoc9uwGXqjWwXaUTZAmzMcFZ5858QA2vvx1Ur5xIcixXIP+8LnFDgRplU30us6teqdlskFfu+ae4K79Ooew==",
"dev": true,
"license": "MIT",
+ "peer": true,
"dependencies": {
"prelude-ls": "^1.2.1"
},
@@ -4293,6 +4362,7 @@
"integrity": "sha512-Ne+eE4r0/iWnpAxD852z3A+N0Bt5RN//NjJwRd2VFHEmrywxf5vsZlh4R6lixl6B+wz/8d+maTSAkN1FIkI3LQ==",
"dev": true,
"license": "(MIT OR CC0-1.0)",
+ "peer": true,
"engines": {
"node": ">=10"
},
@@ -4384,7 +4454,6 @@
"integrity": "sha512-p1diW6TqL9L07nNxvRMM7hMMw4c5XOo/1ibL4aAIGmSAt9slTE1Xgw5KWuof2uTOvCg9BY7ZRi+GaF+7sfgPeQ==",
"dev": true,
"license": "Apache-2.0",
- "peer": true,
"bin": {
"tsc": "bin/tsc",
"tsserver": "bin/tsserver"
@@ -4418,6 +4487,7 @@
"integrity": "sha512-7rKUyy33Q1yc98pQ1DAmLtwX109F7TIfWlW1Ydo8Wl1ii1SeHieeh0HHfPeL2fMXK6z0s8ecKs9frCuLJvndBg==",
"dev": true,
"license": "BSD-2-Clause",
+ "peer": true,
"dependencies": {
"punycode": "^2.1.0"
}
@@ -4533,6 +4603,7 @@
"integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==",
"dev": true,
"license": "MIT",
+ "peer": true,
"engines": {
"node": ">=0.10.0"
}
@@ -4560,7 +4631,8 @@
"resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
"integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
"dev": true,
- "license": "ISC"
+ "license": "ISC",
+ "peer": true
},
"node_modules/y18n": {
"version": "5.0.8",
@@ -4620,6 +4692,7 @@
"integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
"dev": true,
"license": "MIT",
+ "peer": true,
"engines": {
"node": ">=10"
},
From 80b056df76040ee1417c484971fa45011250d4d7 Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Thu, 27 Nov 2025 18:35:19 +0000
Subject: [PATCH 3/8] Add configurable thinking tag extraction for vLLM
- Create ThinkingTagExtractor class in separate file (core/llm/ThinkingTagExtractor.ts)
- Move thinking tag extraction into vLLM class (provider-specific)
- Export VllmOptions interface for external consumers
- Add validation for thinking tag configuration
- Add comprehensive tests for ThinkingTagExtractor
Co-authored-by: AyRickk <94455465+AyRickk@users.noreply.github.com>
---
core/llm/ThinkingTagExtractor.ts | 127 ++++++++++++++
core/llm/ThinkingTagExtractor.vitest.ts | 217 ++++++++++++++++++++++++
core/llm/llms/Vllm.ts | 100 ++++++++++-
core/llm/thinkingTagExtractor.vitest.ts | 2 +-
4 files changed, 443 insertions(+), 3 deletions(-)
create mode 100644 core/llm/ThinkingTagExtractor.ts
create mode 100644 core/llm/ThinkingTagExtractor.vitest.ts
diff --git a/core/llm/ThinkingTagExtractor.ts b/core/llm/ThinkingTagExtractor.ts
new file mode 100644
index 00000000000..67676a5720c
--- /dev/null
+++ b/core/llm/ThinkingTagExtractor.ts
@@ -0,0 +1,127 @@
+/**
+ * Helper class to extract thinking content from custom tags during streaming.
+ * This is used for providers like vLLM that support custom thinking output formats.
+ */
+export class ThinkingTagExtractor {
+ private buffer: string = "";
+ private inThinkingBlock: boolean = false;
+ private readonly openTag: string;
+ private readonly closeTag: string;
+
+ constructor(openTag: string, closeTag: string) {
+ this.openTag = openTag;
+ this.closeTag = closeTag;
+ }
+
+ /**
+ * Process a chunk of text and extract thinking/regular content.
+ * Returns an object with the thinking content and regular content that should be yielded.
+ */
+ process(text: string): {
+ thinking: string;
+ content: string;
+ } {
+ this.buffer += text;
+
+ let thinking = "";
+ let content = "";
+
+ while (this.buffer.length > 0) {
+ if (this.inThinkingBlock) {
+ // Look for closing tag
+ const closeIndex = this.buffer.indexOf(this.closeTag);
+ if (closeIndex !== -1) {
+ // Found closing tag - extract thinking content up to it
+ thinking += this.buffer.substring(0, closeIndex);
+ this.buffer = this.buffer.substring(
+ closeIndex + this.closeTag.length,
+ );
+ this.inThinkingBlock = false;
+ } else {
+ // No closing tag yet - check if we might have a partial closing tag at the end
+ const partialMatchLength = this.getPartialMatchLength(
+ this.buffer,
+ this.closeTag,
+ );
+ if (partialMatchLength > 0) {
+ // Keep the potential partial match in the buffer
+ thinking += this.buffer.substring(
+ 0,
+ this.buffer.length - partialMatchLength,
+ );
+ this.buffer = this.buffer.substring(
+ this.buffer.length - partialMatchLength,
+ );
+ } else {
+ // No partial match - all content is thinking
+ thinking += this.buffer;
+ this.buffer = "";
+ }
+ break;
+ }
+ } else {
+ // Not in thinking block - look for opening tag
+ const openIndex = this.buffer.indexOf(this.openTag);
+ if (openIndex !== -1) {
+ // Found opening tag
+ content += this.buffer.substring(0, openIndex);
+ this.buffer = this.buffer.substring(openIndex + this.openTag.length);
+ this.inThinkingBlock = true;
+ } else {
+ // No opening tag - check if we might have a partial opening tag at the end
+ const partialMatchLength = this.getPartialMatchLength(
+ this.buffer,
+ this.openTag,
+ );
+ if (partialMatchLength > 0) {
+ // Keep the potential partial match in the buffer
+ content += this.buffer.substring(
+ 0,
+ this.buffer.length - partialMatchLength,
+ );
+ this.buffer = this.buffer.substring(
+ this.buffer.length - partialMatchLength,
+ );
+ } else {
+ // No partial match - all content is regular content
+ content += this.buffer;
+ this.buffer = "";
+ }
+ break;
+ }
+ }
+ }
+
+ return { thinking, content };
+ }
+
+ /**
+ * Flush any remaining content in the buffer.
+ * Call this when the stream ends.
+ */
+ flush(): {
+ thinking: string;
+ content: string;
+ } {
+ const result = {
+ thinking: this.inThinkingBlock ? this.buffer : "",
+ content: this.inThinkingBlock ? "" : this.buffer,
+ };
+ this.buffer = "";
+ this.inThinkingBlock = false;
+ return result;
+ }
+
+ /**
+ * Check if the end of the text could be the start of the tag.
+ * Returns the length of the partial match, or 0 if no match.
+ */
+ private getPartialMatchLength(text: string, tag: string): number {
+ for (let i = 1; i < tag.length && i <= text.length; i++) {
+ if (text.slice(-i) === tag.slice(0, i)) {
+ return i;
+ }
+ }
+ return 0;
+ }
+}
diff --git a/core/llm/ThinkingTagExtractor.vitest.ts b/core/llm/ThinkingTagExtractor.vitest.ts
new file mode 100644
index 00000000000..f605207cab6
--- /dev/null
+++ b/core/llm/ThinkingTagExtractor.vitest.ts
@@ -0,0 +1,217 @@
+import { describe, expect, it } from "vitest";
+import { ThinkingTagExtractor } from "./ThinkingTagExtractor";
+
+describe("ThinkingTagExtractor", () => {
+ describe("basic functionality", () => {
+ it("should extract thinking content with simple tags", () => {
+ const extractor = new ThinkingTagExtractor("", "");
+ const result = extractor.process(
+ "thinking contentregular content",
+ );
+ expect(result.thinking).toBe("thinking content");
+ expect(result.content).toBe("regular content");
+ });
+
+ it("should handle content before thinking tags", () => {
+ const extractor = new ThinkingTagExtractor("", "");
+ const result = extractor.process("beforethinkingafter");
+ expect(result.thinking).toBe("thinking");
+ expect(result.content).toBe("beforeafter");
+ });
+
+ it("should handle only thinking content", () => {
+ const extractor = new ThinkingTagExtractor("", "");
+ const result = extractor.process("only thinking");
+ expect(result.thinking).toBe("only thinking");
+ expect(result.content).toBe("");
+ });
+
+ it("should handle only regular content", () => {
+ const extractor = new ThinkingTagExtractor("", "");
+ const result = extractor.process("just regular content");
+ expect(result.thinking).toBe("");
+ expect(result.content).toBe("just regular content");
+ });
+
+ it("should handle multiple thinking blocks", () => {
+ const extractor = new ThinkingTagExtractor("", "");
+ const result = extractor.process(
+ "firstmiddlesecondend",
+ );
+ expect(result.thinking).toBe("firstsecond");
+ expect(result.content).toBe("middleend");
+ });
+ });
+
+ describe("streaming chunks", () => {
+ it("should handle thinking content split across chunks", () => {
+ const extractor = new ThinkingTagExtractor("", "");
+
+ // Simulate streaming: "thinking contentregular content"
+ const result1 = extractor.process("thinking");
+ expect(result2.thinking).toBe("thinking");
+ expect(result2.content).toBe("");
+
+ const result3 = extractor.process(" contentregular");
+ expect(result4.thinking).toBe("");
+ expect(result4.content).toBe("regular");
+
+ const result5 = extractor.process(" content");
+ expect(result5.thinking).toBe("");
+ expect(result5.content).toBe(" content");
+ });
+
+ it("should handle partial open tag at end of chunk", () => {
+ const extractor = new ThinkingTagExtractor("", "");
+
+ const result1 = extractor.process("beforethinking");
+ expect(result2.thinking).toBe("thinking");
+ expect(result2.content).toBe("");
+ });
+
+ it("should handle partial close tag at end of chunk", () => {
+ const extractor = new ThinkingTagExtractor("", "");
+
+ const result1 = extractor.process("thinkingafter");
+ expect(result2.thinking).toBe("");
+ expect(result2.content).toBe("after");
+ });
+ });
+
+ describe("flush", () => {
+ it("should flush remaining content when not in thinking block", () => {
+ const extractor = new ThinkingTagExtractor("", "");
+
+ extractor.process("some content {
+ const extractor = new ThinkingTagExtractor("", "");
+
+ // The thinking content after the open tag is returned in process()
+ const processResult = extractor.process("incomplete thinking");
+ expect(processResult.thinking).toBe("incomplete thinking");
+ expect(processResult.content).toBe("");
+
+ // Flush returns nothing since buffer is empty (all was processed)
+ const result = extractor.flush();
+ expect(result.thinking).toBe("");
+ expect(result.content).toBe("");
+ });
+
+ it("should flush remaining partial close tag in thinking block", () => {
+ const extractor = new ThinkingTagExtractor("", "");
+
+ // Process some thinking with a partial close tag
+ const processResult = extractor.process("thinking {
+ const extractor = new ThinkingTagExtractor("", "");
+
+ extractor.process("thinking");
+ extractor.flush();
+
+ const result = extractor.process("new content");
+ expect(result.content).toBe("new content");
+ expect(result.thinking).toBe("");
+ });
+ });
+
+ describe("custom tag formats", () => {
+ it("should work with vLLM default reasoning tags", () => {
+ const extractor = new ThinkingTagExtractor("", "");
+ const result = extractor.process(
+ "my reasoninganswer",
+ );
+ expect(result.thinking).toBe("my reasoning");
+ expect(result.content).toBe("answer");
+ });
+
+ it("should work with simple brackets", () => {
+ const extractor = new ThinkingTagExtractor("[THINK]", "[/THINK]");
+ const result = extractor.process(
+ "[THINK]internal thoughts[/THINK]response",
+ );
+ expect(result.thinking).toBe("internal thoughts");
+ expect(result.content).toBe("response");
+ });
+
+ it("should work with multi-character tags", () => {
+ const extractor = new ThinkingTagExtractor(
+ "<<>>",
+ "<<>>",
+ );
+ const result = extractor.process(
+ "<<>>deep thoughts<<>>output",
+ );
+ expect(result.thinking).toBe("deep thoughts");
+ expect(result.content).toBe("output");
+ });
+ });
+
+ describe("edge cases", () => {
+ it("should handle empty string", () => {
+ const extractor = new ThinkingTagExtractor("", "");
+ const result = extractor.process("");
+ expect(result.thinking).toBe("");
+ expect(result.content).toBe("");
+ });
+
+ it("should handle consecutive tags", () => {
+ const extractor = new ThinkingTagExtractor("", "");
+ const result = extractor.process("second");
+ expect(result.thinking).toBe("second");
+ expect(result.content).toBe("");
+ });
+
+ it("should handle nested-like content (not actual nesting)", () => {
+ const extractor = new ThinkingTagExtractor("", "");
+ // Tags don't actually nest, so inner is just content
+ const result = extractor.process(
+ "outer inner after",
+ );
+ // First closes the block
+ expect(result.thinking).toBe("outer inner");
+ expect(result.content).toBe(" after");
+ });
+
+ it("should handle special characters in tags", () => {
+ const extractor = new ThinkingTagExtractor(
+ "",
+ "",
+ );
+ const result = extractor.process(
+ "specialnormal",
+ );
+ expect(result.thinking).toBe("special");
+ expect(result.content).toBe("normal");
+ });
+ });
+});
diff --git a/core/llm/llms/Vllm.ts b/core/llm/llms/Vllm.ts
index 90b44c54ed2..2d493bc7517 100644
--- a/core/llm/llms/Vllm.ts
+++ b/core/llm/llms/Vllm.ts
@@ -1,6 +1,7 @@
-import { Chunk, LLMOptions } from "../../index.js";
+import { ChatMessage, Chunk, CompletionOptions, LLMOptions } from "../../index.js";
import { LlmApiRequestType } from "../openaiTypeConverters.js";
+import { ThinkingTagExtractor } from "../ThinkingTagExtractor.js";
import OpenAI from "./OpenAI.js";
// vLLM-specific rerank response types
@@ -21,6 +22,24 @@ interface VllmRerankResponse {
results: VllmRerankItem[];
}
+/**
+ * vLLM-specific options for thinking output extraction.
+ * These options allow configuring custom tags to extract thinking content from the response.
+ */
+export interface VllmOptions extends LLMOptions {
+ /**
+ * Custom opening tag for extracting thinking/reasoning content from streamed responses.
+ * Used with models that output thinking content wrapped in custom tags (e.g., ``, ``).
+ * Must be used together with `thinkingCloseTag`.
+ */
+ thinkingOpenTag?: string;
+ /**
+ * Custom closing tag for extracting thinking/reasoning content from streamed responses.
+ * Must be used together with `thinkingOpenTag`.
+ */
+ thinkingCloseTag?: string;
+}
+
/**
* vLLM provider for Continue.
*
@@ -46,6 +65,10 @@ interface VllmRerankResponse {
class Vllm extends OpenAI {
static providerName = "vllm";
+ // vLLM-specific options for thinking tag extraction
+ protected thinkingOpenTag?: string;
+ protected thinkingCloseTag?: string;
+
// Override useOpenAIAdapterFor to NOT include "streamChat".
// vLLM uses the reasoning_content field for thinking output (via vLLM's reasoning parser),
// which is not part of the standard OpenAI SDK types. By excluding "streamChat", we force
@@ -60,14 +83,87 @@ class Vllm extends OpenAI {
"streamFim",
];
- constructor(options: LLMOptions) {
+ constructor(options: VllmOptions) {
super(options);
+ // Validate that thinking tags are provided together
+ if (
+ (options.thinkingOpenTag && !options.thinkingCloseTag) ||
+ (!options.thinkingOpenTag && options.thinkingCloseTag)
+ ) {
+ throw new Error(
+ "vLLM: Both thinkingOpenTag and thinkingCloseTag must be provided together",
+ );
+ }
+
+ // Store vLLM-specific options
+ this.thinkingOpenTag = options.thinkingOpenTag;
+ this.thinkingCloseTag = options.thinkingCloseTag;
+
if (options.isFromAutoDetect) {
this._setupCompletionOptions();
}
}
+ /**
+ * Override _streamChat to handle thinking tag extraction if configured.
+ * This allows vLLM to support models that use custom tags (like ...)
+ * instead of the standard reasoning_content field.
+ */
+ protected async *_streamChat(
+ messages: ChatMessage[],
+ signal: AbortSignal,
+ options: CompletionOptions,
+ ): AsyncGenerator {
+ // If no custom thinking tags configured, use parent implementation
+ if (!this.thinkingOpenTag || !this.thinkingCloseTag) {
+ for await (const chunk of super._streamChat(messages, signal, options)) {
+ yield chunk;
+ }
+ return;
+ }
+
+ // Use thinking tag extractor for custom tag formats
+ const extractor = new ThinkingTagExtractor(
+ this.thinkingOpenTag,
+ this.thinkingCloseTag,
+ );
+
+ for await (const chunk of super._streamChat(messages, signal, options)) {
+ if (chunk.role === "assistant" && typeof chunk.content === "string") {
+ const extracted = extractor.process(chunk.content);
+
+ // Yield thinking content first
+ if (extracted.thinking) {
+ yield {
+ role: "thinking",
+ content: extracted.thinking,
+ };
+ }
+
+ // Yield regular content if present
+ if (extracted.content) {
+ yield {
+ ...chunk,
+ content: extracted.content,
+ };
+ }
+ } else {
+ // Pass through non-assistant chunks unchanged
+ yield chunk;
+ }
+ }
+
+ // Flush any remaining content from the extractor
+ const flushed = extractor.flush();
+ if (flushed.thinking) {
+ yield { role: "thinking", content: flushed.thinking };
+ }
+ if (flushed.content) {
+ yield { role: "assistant", content: flushed.content };
+ }
+ }
+
supportsFim(): boolean {
return false;
}
diff --git a/core/llm/thinkingTagExtractor.vitest.ts b/core/llm/thinkingTagExtractor.vitest.ts
index 47b957b2079..f605207cab6 100644
--- a/core/llm/thinkingTagExtractor.vitest.ts
+++ b/core/llm/thinkingTagExtractor.vitest.ts
@@ -1,5 +1,5 @@
import { describe, expect, it } from "vitest";
-import { ThinkingTagExtractor } from "./index";
+import { ThinkingTagExtractor } from "./ThinkingTagExtractor";
describe("ThinkingTagExtractor", () => {
describe("basic functionality", () => {
From 089c0c5edd9aed690c367ce532ceeedc687da782 Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Thu, 27 Nov 2025 18:57:32 +0000
Subject: [PATCH 4/8] Fix file naming convention and property visibility
- Rename ThinkingTagExtractor.ts to thinkingTagExtractor.ts (follow lowercase convention in llm/)
- Rename ThinkingTagExtractor.vitest.ts to thinkingTagExtractor.vitest.ts
- Update imports in Vllm.ts and test file
- Change thinkingOpenTag/thinkingCloseTag from protected to private
Co-authored-by: AyRickk <94455465+AyRickk@users.noreply.github.com>
---
core/llm/ThinkingTagExtractor.vitest.ts | 217 ------------------
core/llm/llms/Vllm.ts | 6 +-
...agExtractor.ts => thinkingTagExtractor.ts} | 0
core/llm/thinkingTagExtractor.vitest.ts | 2 +-
4 files changed, 4 insertions(+), 221 deletions(-)
delete mode 100644 core/llm/ThinkingTagExtractor.vitest.ts
rename core/llm/{ThinkingTagExtractor.ts => thinkingTagExtractor.ts} (100%)
diff --git a/core/llm/ThinkingTagExtractor.vitest.ts b/core/llm/ThinkingTagExtractor.vitest.ts
deleted file mode 100644
index f605207cab6..00000000000
--- a/core/llm/ThinkingTagExtractor.vitest.ts
+++ /dev/null
@@ -1,217 +0,0 @@
-import { describe, expect, it } from "vitest";
-import { ThinkingTagExtractor } from "./ThinkingTagExtractor";
-
-describe("ThinkingTagExtractor", () => {
- describe("basic functionality", () => {
- it("should extract thinking content with simple tags", () => {
- const extractor = new ThinkingTagExtractor("", "");
- const result = extractor.process(
- "thinking contentregular content",
- );
- expect(result.thinking).toBe("thinking content");
- expect(result.content).toBe("regular content");
- });
-
- it("should handle content before thinking tags", () => {
- const extractor = new ThinkingTagExtractor("", "");
- const result = extractor.process("beforethinkingafter");
- expect(result.thinking).toBe("thinking");
- expect(result.content).toBe("beforeafter");
- });
-
- it("should handle only thinking content", () => {
- const extractor = new ThinkingTagExtractor("", "");
- const result = extractor.process("only thinking");
- expect(result.thinking).toBe("only thinking");
- expect(result.content).toBe("");
- });
-
- it("should handle only regular content", () => {
- const extractor = new ThinkingTagExtractor("", "");
- const result = extractor.process("just regular content");
- expect(result.thinking).toBe("");
- expect(result.content).toBe("just regular content");
- });
-
- it("should handle multiple thinking blocks", () => {
- const extractor = new ThinkingTagExtractor("", "");
- const result = extractor.process(
- "firstmiddlesecondend",
- );
- expect(result.thinking).toBe("firstsecond");
- expect(result.content).toBe("middleend");
- });
- });
-
- describe("streaming chunks", () => {
- it("should handle thinking content split across chunks", () => {
- const extractor = new ThinkingTagExtractor("", "");
-
- // Simulate streaming: "thinking contentregular content"
- const result1 = extractor.process("thinking");
- expect(result2.thinking).toBe("thinking");
- expect(result2.content).toBe("");
-
- const result3 = extractor.process(" contentregular");
- expect(result4.thinking).toBe("");
- expect(result4.content).toBe("regular");
-
- const result5 = extractor.process(" content");
- expect(result5.thinking).toBe("");
- expect(result5.content).toBe(" content");
- });
-
- it("should handle partial open tag at end of chunk", () => {
- const extractor = new ThinkingTagExtractor("", "");
-
- const result1 = extractor.process("beforethinking");
- expect(result2.thinking).toBe("thinking");
- expect(result2.content).toBe("");
- });
-
- it("should handle partial close tag at end of chunk", () => {
- const extractor = new ThinkingTagExtractor("", "");
-
- const result1 = extractor.process("thinkingafter");
- expect(result2.thinking).toBe("");
- expect(result2.content).toBe("after");
- });
- });
-
- describe("flush", () => {
- it("should flush remaining content when not in thinking block", () => {
- const extractor = new ThinkingTagExtractor("", "");
-
- extractor.process("some content {
- const extractor = new ThinkingTagExtractor("", "");
-
- // The thinking content after the open tag is returned in process()
- const processResult = extractor.process("incomplete thinking");
- expect(processResult.thinking).toBe("incomplete thinking");
- expect(processResult.content).toBe("");
-
- // Flush returns nothing since buffer is empty (all was processed)
- const result = extractor.flush();
- expect(result.thinking).toBe("");
- expect(result.content).toBe("");
- });
-
- it("should flush remaining partial close tag in thinking block", () => {
- const extractor = new ThinkingTagExtractor("", "");
-
- // Process some thinking with a partial close tag
- const processResult = extractor.process("thinking {
- const extractor = new ThinkingTagExtractor("", "");
-
- extractor.process("thinking");
- extractor.flush();
-
- const result = extractor.process("new content");
- expect(result.content).toBe("new content");
- expect(result.thinking).toBe("");
- });
- });
-
- describe("custom tag formats", () => {
- it("should work with vLLM default reasoning tags", () => {
- const extractor = new ThinkingTagExtractor("", "");
- const result = extractor.process(
- "my reasoninganswer",
- );
- expect(result.thinking).toBe("my reasoning");
- expect(result.content).toBe("answer");
- });
-
- it("should work with simple brackets", () => {
- const extractor = new ThinkingTagExtractor("[THINK]", "[/THINK]");
- const result = extractor.process(
- "[THINK]internal thoughts[/THINK]response",
- );
- expect(result.thinking).toBe("internal thoughts");
- expect(result.content).toBe("response");
- });
-
- it("should work with multi-character tags", () => {
- const extractor = new ThinkingTagExtractor(
- "<<>>",
- "<<>>",
- );
- const result = extractor.process(
- "<<>>deep thoughts<<>>output",
- );
- expect(result.thinking).toBe("deep thoughts");
- expect(result.content).toBe("output");
- });
- });
-
- describe("edge cases", () => {
- it("should handle empty string", () => {
- const extractor = new ThinkingTagExtractor("", "");
- const result = extractor.process("");
- expect(result.thinking).toBe("");
- expect(result.content).toBe("");
- });
-
- it("should handle consecutive tags", () => {
- const extractor = new ThinkingTagExtractor("", "");
- const result = extractor.process("second");
- expect(result.thinking).toBe("second");
- expect(result.content).toBe("");
- });
-
- it("should handle nested-like content (not actual nesting)", () => {
- const extractor = new ThinkingTagExtractor("", "");
- // Tags don't actually nest, so inner is just content
- const result = extractor.process(
- "outer inner after",
- );
- // First closes the block
- expect(result.thinking).toBe("outer inner");
- expect(result.content).toBe(" after");
- });
-
- it("should handle special characters in tags", () => {
- const extractor = new ThinkingTagExtractor(
- "",
- "",
- );
- const result = extractor.process(
- "specialnormal",
- );
- expect(result.thinking).toBe("special");
- expect(result.content).toBe("normal");
- });
- });
-});
diff --git a/core/llm/llms/Vllm.ts b/core/llm/llms/Vllm.ts
index 2d493bc7517..ba3f2f2baa7 100644
--- a/core/llm/llms/Vllm.ts
+++ b/core/llm/llms/Vllm.ts
@@ -1,7 +1,7 @@
import { ChatMessage, Chunk, CompletionOptions, LLMOptions } from "../../index.js";
import { LlmApiRequestType } from "../openaiTypeConverters.js";
-import { ThinkingTagExtractor } from "../ThinkingTagExtractor.js";
+import { ThinkingTagExtractor } from "../thinkingTagExtractor.js";
import OpenAI from "./OpenAI.js";
// vLLM-specific rerank response types
@@ -66,8 +66,8 @@ class Vllm extends OpenAI {
static providerName = "vllm";
// vLLM-specific options for thinking tag extraction
- protected thinkingOpenTag?: string;
- protected thinkingCloseTag?: string;
+ private thinkingOpenTag?: string;
+ private thinkingCloseTag?: string;
// Override useOpenAIAdapterFor to NOT include "streamChat".
// vLLM uses the reasoning_content field for thinking output (via vLLM's reasoning parser),
diff --git a/core/llm/ThinkingTagExtractor.ts b/core/llm/thinkingTagExtractor.ts
similarity index 100%
rename from core/llm/ThinkingTagExtractor.ts
rename to core/llm/thinkingTagExtractor.ts
diff --git a/core/llm/thinkingTagExtractor.vitest.ts b/core/llm/thinkingTagExtractor.vitest.ts
index f605207cab6..47bf900c23d 100644
--- a/core/llm/thinkingTagExtractor.vitest.ts
+++ b/core/llm/thinkingTagExtractor.vitest.ts
@@ -1,5 +1,5 @@
import { describe, expect, it } from "vitest";
-import { ThinkingTagExtractor } from "./ThinkingTagExtractor";
+import { ThinkingTagExtractor } from "./thinkingTagExtractor";
describe("ThinkingTagExtractor", () => {
describe("basic functionality", () => {
From 86843222615eef58bc359b2e9abd9a405c028db4 Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Thu, 27 Nov 2025 19:10:03 +0000
Subject: [PATCH 5/8] Fix property naming conflict with parent class
- Rename thinkingOpenTag to _thinkingOpenTag (private)
- Rename thinkingCloseTag to _thinkingCloseTag (private)
- Avoids conflicts with properties that may exist in parent classes
Co-authored-by: AyRickk <94455465+AyRickk@users.noreply.github.com>
---
core/llm/llms/Vllm.ts | 14 +++++++-------
1 file changed, 7 insertions(+), 7 deletions(-)
diff --git a/core/llm/llms/Vllm.ts b/core/llm/llms/Vllm.ts
index ba3f2f2baa7..7b6d0477ef5 100644
--- a/core/llm/llms/Vllm.ts
+++ b/core/llm/llms/Vllm.ts
@@ -66,8 +66,8 @@ class Vllm extends OpenAI {
static providerName = "vllm";
// vLLM-specific options for thinking tag extraction
- private thinkingOpenTag?: string;
- private thinkingCloseTag?: string;
+ private _thinkingOpenTag?: string;
+ private _thinkingCloseTag?: string;
// Override useOpenAIAdapterFor to NOT include "streamChat".
// vLLM uses the reasoning_content field for thinking output (via vLLM's reasoning parser),
@@ -97,8 +97,8 @@ class Vllm extends OpenAI {
}
// Store vLLM-specific options
- this.thinkingOpenTag = options.thinkingOpenTag;
- this.thinkingCloseTag = options.thinkingCloseTag;
+ this._thinkingOpenTag = options.thinkingOpenTag;
+ this._thinkingCloseTag = options.thinkingCloseTag;
if (options.isFromAutoDetect) {
this._setupCompletionOptions();
@@ -116,7 +116,7 @@ class Vllm extends OpenAI {
options: CompletionOptions,
): AsyncGenerator {
// If no custom thinking tags configured, use parent implementation
- if (!this.thinkingOpenTag || !this.thinkingCloseTag) {
+ if (!this._thinkingOpenTag || !this._thinkingCloseTag) {
for await (const chunk of super._streamChat(messages, signal, options)) {
yield chunk;
}
@@ -125,8 +125,8 @@ class Vllm extends OpenAI {
// Use thinking tag extractor for custom tag formats
const extractor = new ThinkingTagExtractor(
- this.thinkingOpenTag,
- this.thinkingCloseTag,
+ this._thinkingOpenTag,
+ this._thinkingCloseTag,
);
for await (const chunk of super._streamChat(messages, signal, options)) {
From ccfd0c959acf6b6e3cd1eba37b78365ad6302b7d Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Thu, 27 Nov 2025 19:58:52 +0000
Subject: [PATCH 6/8] Move thinking tag extraction from BaseLLM to
vLLM-specific
Per reviewer feedback on PR #8901:
- Remove ThinkingTagExtractor class from core/llm/index.ts (keep in separate file)
- Remove thinkingOpenTag/thinkingCloseTag from BaseLLM class
- Remove thinking extractor logic from processChatChunk and streamChat in BaseLLM
- Remove thinkingOpenTag/thinkingCloseTag from LLMOptions in core/index.d.ts
- Remove thinkingTagIntegration.vitest.ts (BaseLLM integration test)
The feature is now vLLM-specific only, handled by the Vllm class.
Co-authored-by: AyRickk <94455465+AyRickk@users.noreply.github.com>
---
core/index.d.ts | 6 -
core/llm/index.ts | 254 +----------------
core/llm/thinkingTagIntegration.vitest.ts | 317 ----------------------
3 files changed, 6 insertions(+), 571 deletions(-)
delete mode 100644 core/llm/thinkingTagIntegration.vitest.ts
diff --git a/core/index.d.ts b/core/index.d.ts
index 0d6423865d2..f31b62ed7d6 100644
--- a/core/index.d.ts
+++ b/core/index.d.ts
@@ -687,12 +687,6 @@ export interface LLMOptions {
sourceFile?: string;
isFromAutoDetect?: boolean;
-
- // Thinking output format options
- // These allow configuring custom tags to extract thinking content from the response
- // For example, vLLM can use ... tags instead of the standard reasoning_content field
- thinkingOpenTag?: string;
- thinkingCloseTag?: string;
}
type RequireAtLeastOne = Pick<
diff --git a/core/llm/index.ts b/core/llm/index.ts
index fd228111485..03f4b5103e4 100644
--- a/core/llm/index.ts
+++ b/core/llm/index.ts
@@ -84,134 +84,6 @@ export function isModelInstaller(provider: any): provider is ModelInstaller {
type InteractionStatus = "in_progress" | "success" | "error" | "cancelled";
-/**
- * Helper class to extract thinking content from custom tags during streaming.
- * This is used for providers like vLLM that support custom thinking output formats.
- */
-export class ThinkingTagExtractor {
- private buffer: string = "";
- private inThinkingBlock: boolean = false;
- private readonly openTag: string;
- private readonly closeTag: string;
-
- constructor(openTag: string, closeTag: string) {
- this.openTag = openTag;
- this.closeTag = closeTag;
- }
-
- /**
- * Process a chunk of text and extract thinking/regular content.
- * Returns an object with the thinking content and regular content that should be yielded.
- */
- process(text: string): {
- thinking: string;
- content: string;
- } {
- this.buffer += text;
-
- let thinking = "";
- let content = "";
-
- while (this.buffer.length > 0) {
- if (this.inThinkingBlock) {
- // Look for closing tag
- const closeIndex = this.buffer.indexOf(this.closeTag);
- if (closeIndex !== -1) {
- // Found closing tag - extract thinking content up to it
- thinking += this.buffer.substring(0, closeIndex);
- this.buffer = this.buffer.substring(
- closeIndex + this.closeTag.length,
- );
- this.inThinkingBlock = false;
- } else {
- // No closing tag yet - check if we might have a partial closing tag at the end
- const partialMatchLength = this.getPartialMatchLength(
- this.buffer,
- this.closeTag,
- );
- if (partialMatchLength > 0) {
- // Keep the potential partial match in the buffer
- thinking += this.buffer.substring(
- 0,
- this.buffer.length - partialMatchLength,
- );
- this.buffer = this.buffer.substring(
- this.buffer.length - partialMatchLength,
- );
- } else {
- // No partial match - all content is thinking
- thinking += this.buffer;
- this.buffer = "";
- }
- break;
- }
- } else {
- // Not in thinking block - look for opening tag
- const openIndex = this.buffer.indexOf(this.openTag);
- if (openIndex !== -1) {
- // Found opening tag
- content += this.buffer.substring(0, openIndex);
- this.buffer = this.buffer.substring(openIndex + this.openTag.length);
- this.inThinkingBlock = true;
- } else {
- // No opening tag - check if we might have a partial opening tag at the end
- const partialMatchLength = this.getPartialMatchLength(
- this.buffer,
- this.openTag,
- );
- if (partialMatchLength > 0) {
- // Keep the potential partial match in the buffer
- content += this.buffer.substring(
- 0,
- this.buffer.length - partialMatchLength,
- );
- this.buffer = this.buffer.substring(
- this.buffer.length - partialMatchLength,
- );
- } else {
- // No partial match - all content is regular content
- content += this.buffer;
- this.buffer = "";
- }
- break;
- }
- }
- }
-
- return { thinking, content };
- }
-
- /**
- * Flush any remaining content in the buffer.
- * Call this when the stream ends.
- */
- flush(): {
- thinking: string;
- content: string;
- } {
- const result = {
- thinking: this.inThinkingBlock ? this.buffer : "",
- content: this.inThinkingBlock ? "" : this.buffer,
- };
- this.buffer = "";
- this.inThinkingBlock = false;
- return result;
- }
-
- /**
- * Check if the end of the text could be the start of the tag.
- * Returns the length of the partial match, or 0 if no match.
- */
- private getPartialMatchLength(text: string, tag: string): number {
- for (let i = 1; i < tag.length && i <= text.length; i++) {
- if (text.slice(-i) === tag.slice(0, i)) {
- return i;
- }
- }
- return 0;
- }
-}
-
export abstract class BaseLLM implements ILLM {
static providerName: string;
static defaultOptions: Partial | undefined = undefined;
@@ -324,10 +196,6 @@ export abstract class BaseLLM implements ILLM {
isFromAutoDetect?: boolean;
- // Thinking output format options
- thinkingOpenTag?: string;
- thinkingCloseTag?: string;
-
lastRequestId: string | undefined;
private _llmOptions: LLMOptions;
@@ -435,10 +303,6 @@ export abstract class BaseLLM implements ILLM {
this.autocompleteOptions = options.autocompleteOptions;
this.sourceFile = options.sourceFile;
this.isFromAutoDetect = options.isFromAutoDetect;
-
- // Thinking output format options
- this.thinkingOpenTag = options.thinkingOpenTag;
- this.thinkingCloseTag = options.thinkingCloseTag;
}
get contextLength() {
@@ -1132,54 +996,21 @@ export abstract class BaseLLM implements ILLM {
return completionOptions;
}
- // Update the processChatChunk method:
private processChatChunk(
chunk: ChatMessage,
interaction: ILLMInteractionLog | undefined,
- thinkingExtractor?: ThinkingTagExtractor,
): {
completion: string[];
thinking: string[];
usage: Usage | null;
chunk: ChatMessage;
- thinkingChunk?: ChatMessage;
} {
const completion: string[] = [];
const thinking: string[] = [];
let usage: Usage | null = null;
- let outputChunk = chunk;
- let thinkingChunk: ChatMessage | undefined;
if (chunk.role === "assistant") {
- // If we have a thinking extractor, process the content through it
- if (thinkingExtractor && typeof chunk.content === "string") {
- const extracted = thinkingExtractor.process(chunk.content);
-
- if (extracted.thinking) {
- thinking.push(extracted.thinking);
- thinkingChunk = {
- role: "thinking",
- content: extracted.thinking,
- };
- }
-
- if (extracted.content) {
- const processedChunk: ChatMessage = {
- ...chunk,
- content: extracted.content,
- };
- completion.push(this._formatChatMessage(processedChunk));
- outputChunk = processedChunk;
- } else {
- // No regular content in this chunk, just thinking
- outputChunk = {
- ...chunk,
- content: "",
- };
- }
- } else {
- completion.push(this._formatChatMessage(chunk));
- }
+ completion.push(this._formatChatMessage(chunk));
} else if (chunk.role === "thinking" && typeof chunk.content === "string") {
thinking.push(chunk.content);
}
@@ -1197,8 +1028,7 @@ export abstract class BaseLLM implements ILLM {
completion,
thinking,
usage,
- chunk: outputChunk,
- thinkingChunk,
+ chunk,
};
}
@@ -1332,12 +1162,6 @@ export abstract class BaseLLM implements ILLM {
let usage: Usage | undefined = undefined;
let citations: null | string[] = null;
- // Create thinking tag extractor if custom tags are configured
- const thinkingExtractor =
- this.thinkingOpenTag && this.thinkingCloseTag
- ? new ThinkingTagExtractor(this.thinkingOpenTag, this.thinkingCloseTag)
- : undefined;
-
try {
if (this.templateMessages) {
for await (const chunk of this._streamComplete(
@@ -1394,46 +1218,13 @@ export abstract class BaseLLM implements ILLM {
}
for await (const chunk of iterable) {
- const result = this.processChatChunk(
- chunk,
- interaction,
- thinkingExtractor,
- );
+ const result = this.processChatChunk(chunk, interaction);
completion.push(...result.completion);
thinking.push(...result.thinking);
if (result.usage !== null) {
usage = result.usage;
}
- // Yield thinking chunk first if present
- if (result.thinkingChunk) {
- yield result.thinkingChunk;
- }
- // Only yield the main chunk if it has content or tool calls
- const hasToolCalls =
- result.chunk.role === "assistant" &&
- result.chunk.toolCalls?.length;
- const hasContent =
- result.chunk.content &&
- (typeof result.chunk.content === "string"
- ? result.chunk.content.length > 0
- : result.chunk.content.length > 0);
-
- if (hasToolCalls || hasContent) {
- yield result.chunk;
- }
- }
-
- // Flush any remaining content from the extractor
- if (thinkingExtractor) {
- const flushed = thinkingExtractor.flush();
- if (flushed.thinking) {
- thinking.push(flushed.thinking);
- yield { role: "thinking", content: flushed.thinking };
- }
- if (flushed.content) {
- completion.push(flushed.content);
- yield { role: "assistant", content: flushed.content };
- }
+ yield result.chunk;
}
} else {
if (logEnabled) {
@@ -1453,46 +1244,13 @@ export abstract class BaseLLM implements ILLM {
signal,
completionOptions,
)) {
- const result = this.processChatChunk(
- chunk,
- interaction,
- thinkingExtractor,
- );
+ const result = this.processChatChunk(chunk, interaction);
completion.push(...result.completion);
thinking.push(...result.thinking);
if (result.usage !== null) {
usage = result.usage;
}
- // Yield thinking chunk first if present
- if (result.thinkingChunk) {
- yield result.thinkingChunk;
- }
- // Only yield the main chunk if it has content or tool calls
- const hasToolCalls =
- result.chunk.role === "assistant" &&
- result.chunk.toolCalls?.length;
- const hasContent =
- result.chunk.content &&
- (typeof result.chunk.content === "string"
- ? result.chunk.content.length > 0
- : result.chunk.content.length > 0);
-
- if (hasToolCalls || hasContent) {
- yield result.chunk;
- }
- }
-
- // Flush any remaining content from the extractor
- if (thinkingExtractor) {
- const flushed = thinkingExtractor.flush();
- if (flushed.thinking) {
- thinking.push(flushed.thinking);
- yield { role: "thinking", content: flushed.thinking };
- }
- if (flushed.content) {
- completion.push(flushed.content);
- yield { role: "assistant", content: flushed.content };
- }
+ yield result.chunk;
}
}
}
diff --git a/core/llm/thinkingTagIntegration.vitest.ts b/core/llm/thinkingTagIntegration.vitest.ts
deleted file mode 100644
index a7af185f229..00000000000
--- a/core/llm/thinkingTagIntegration.vitest.ts
+++ /dev/null
@@ -1,317 +0,0 @@
-import { describe, expect, it, beforeEach } from "vitest";
-import { BaseLLM } from "./index";
-import { ChatMessage, LLMOptions, MessageContent } from "../index";
-
-/**
- * Mock LLM for testing thinking tag extraction during streaming
- */
-class MockStreamingLLM extends BaseLLM {
- static providerName = "mock-streaming";
-
- private mockChunks: ChatMessage[] = [];
-
- setMockChunks(chunks: ChatMessage[]) {
- this.mockChunks = chunks;
- }
-
- async *_streamComplete(
- prompt: string,
- signal: AbortSignal,
- options: any,
- ): AsyncGenerator {
- yield "not used in these tests";
- }
-
- async *_streamChat(
- messages: ChatMessage[],
- signal: AbortSignal,
- options: any,
- ): AsyncGenerator {
- for (const chunk of this.mockChunks) {
- yield chunk;
- }
- }
-}
-
-describe("ThinkingTagExtractor Integration with BaseLLM", () => {
- let llm: MockStreamingLLM;
-
- beforeEach(() => {
- const options: LLMOptions = {
- model: "mock-model",
- thinkingOpenTag: "",
- thinkingCloseTag: "",
- };
- llm = new MockStreamingLLM(options);
- });
-
- describe("streamChat with thinking tags", () => {
- it("should extract thinking content from single chunk", async () => {
- llm.setMockChunks([
- {
- role: "assistant",
- content: "my thinkingmy response",
- },
- ]);
-
- const chunks: ChatMessage[] = [];
- for await (const chunk of llm.streamChat(
- [{ role: "user", content: "test" }],
- new AbortController().signal,
- )) {
- chunks.push(chunk);
- }
-
- expect(chunks).toHaveLength(2);
- expect(chunks[0]).toEqual({
- role: "thinking",
- content: "my thinking",
- });
- expect(chunks[1]).toEqual({
- role: "assistant",
- content: "my response",
- });
- });
-
- it("should handle thinking split across multiple chunks", async () => {
- llm.setMockChunks([
- { role: "assistant", content: "first " },
- { role: "assistant", content: "partanswer " },
- { role: "assistant", content: "here" },
- ]);
-
- const chunks: ChatMessage[] = [];
- for await (const chunk of llm.streamChat(
- [{ role: "user", content: "test" }],
- new AbortController().signal,
- )) {
- chunks.push(chunk);
- }
-
- // Should get: thinking chunks as they arrive, then answer chunks
- const thinkingChunks = chunks.filter((c) => c.role === "thinking");
- const assistantChunks = chunks.filter((c) => c.role === "assistant");
-
- expect(thinkingChunks.length).toBeGreaterThan(0);
- expect(thinkingChunks.map((c) => c.content).join("")).toBe("first part");
- expect(assistantChunks.map((c) => c.content).join("")).toBe(
- "answer here",
- );
- });
-
- it("should handle partial tags at chunk boundaries", async () => {
- llm.setMockChunks([
- { role: "assistant", content: "beforethinkingafter" },
- ]);
-
- const chunks: ChatMessage[] = [];
- for await (const chunk of llm.streamChat(
- [{ role: "user", content: "test" }],
- new AbortController().signal,
- )) {
- chunks.push(chunk);
- }
-
- const thinkingChunks = chunks.filter((c) => c.role === "thinking");
- const assistantChunks = chunks.filter((c) => c.role === "assistant");
-
- expect(thinkingChunks.map((c) => c.content).join("")).toBe("thinking");
- expect(assistantChunks.map((c) => c.content).join("")).toBe(
- "beforeafter",
- );
- });
-
- it("should flush remaining content at stream end", async () => {
- llm.setMockChunks([
- { role: "assistant", content: "incomplete thinking" },
- ]);
-
- const chunks: ChatMessage[] = [];
- for await (const chunk of llm.streamChat(
- [{ role: "user", content: "test" }],
- new AbortController().signal,
- )) {
- chunks.push(chunk);
- }
-
- // Should get thinking chunk(s) for the incomplete thinking content
- const thinkingChunks = chunks.filter((c) => c.role === "thinking");
- expect(thinkingChunks.length).toBeGreaterThan(0);
- expect(thinkingChunks.map((c) => c.content).join("")).toBe(
- "incomplete thinking",
- );
- });
-
- it("should handle multiple thinking blocks in stream", async () => {
- llm.setMockChunks([
- { role: "assistant", content: "firsttext1" },
- { role: "assistant", content: "secondtext2" },
- ]);
-
- const chunks: ChatMessage[] = [];
- for await (const chunk of llm.streamChat(
- [{ role: "user", content: "test" }],
- new AbortController().signal,
- )) {
- chunks.push(chunk);
- }
-
- const thinkingChunks = chunks.filter((c) => c.role === "thinking");
- const assistantChunks = chunks.filter((c) => c.role === "assistant");
-
- expect(thinkingChunks.map((c) => c.content).join("")).toBe("firstsecond");
- expect(assistantChunks.map((c) => c.content).join("")).toBe("text1text2");
- });
-
- it("should not emit empty chunks", async () => {
- llm.setMockChunks([
- { role: "assistant", content: "only thinking" },
- ]);
-
- const chunks: ChatMessage[] = [];
- for await (const chunk of llm.streamChat(
- [{ role: "user", content: "test" }],
- new AbortController().signal,
- )) {
- chunks.push(chunk);
- }
-
- // Should only have thinking chunk, no empty assistant chunk
- expect(chunks.every((c) => c.content && c.content.length > 0)).toBe(true);
- expect(chunks.filter((c) => c.role === "thinking")).toHaveLength(1);
- expect(chunks.filter((c) => c.role === "assistant")).toHaveLength(0);
- });
- });
-
- describe("streamChat without thinking tags configured", () => {
- beforeEach(() => {
- // Create LLM without thinking tags
- const options: LLMOptions = {
- model: "mock-model",
- };
- llm = new MockStreamingLLM(options);
- });
-
- it("should pass through content unchanged when no tags configured", async () => {
- llm.setMockChunks([
- {
- role: "assistant",
- content: "this should not be extractedregular content",
- },
- ]);
-
- const chunks: ChatMessage[] = [];
- for await (const chunk of llm.streamChat(
- [{ role: "user", content: "test" }],
- new AbortController().signal,
- )) {
- chunks.push(chunk);
- }
-
- expect(chunks).toHaveLength(1);
- expect(chunks[0]).toEqual({
- role: "assistant",
- content: "this should not be extractedregular content",
- });
- });
- });
-
- describe("streamChat with native thinking role chunks", () => {
- it("should handle native thinking role chunks alongside extraction", async () => {
- // Simulate a provider that sends both native thinking role AND tagged content
- llm.setMockChunks([
- { role: "thinking", content: "native thinking" },
- { role: "assistant", content: "tagged thinkinganswer" },
- ]);
-
- const chunks: ChatMessage[] = [];
- for await (const chunk of llm.streamChat(
- [{ role: "user", content: "test" }],
- new AbortController().signal,
- )) {
- chunks.push(chunk);
- }
-
- const thinkingChunks = chunks.filter((c) => c.role === "thinking");
- const assistantChunks = chunks.filter((c) => c.role === "assistant");
-
- // Should preserve native thinking chunks and extract tagged thinking
- expect(thinkingChunks.map((c) => c.content).join("")).toBe(
- "native thinkingtagged thinking",
- );
- expect(assistantChunks.map((c) => c.content).join("")).toBe("answer");
- });
- });
-
- describe("custom tag formats", () => {
- it("should work with custom reasoning tags", async () => {
- const options: LLMOptions = {
- model: "mock-model",
- thinkingOpenTag: "",
- thinkingCloseTag: "",
- };
- llm = new MockStreamingLLM(options);
-
- llm.setMockChunks([
- {
- role: "assistant",
- content: "my reasoningmy answer",
- },
- ]);
-
- const chunks: ChatMessage[] = [];
- for await (const chunk of llm.streamChat(
- [{ role: "user", content: "test" }],
- new AbortController().signal,
- )) {
- chunks.push(chunk);
- }
-
- expect(chunks).toHaveLength(2);
- expect(chunks[0]).toEqual({
- role: "thinking",
- content: "my reasoning",
- });
- expect(chunks[1]).toEqual({
- role: "assistant",
- content: "my answer",
- });
- });
-
- it("should work with bracket-style tags", async () => {
- const options: LLMOptions = {
- model: "mock-model",
- thinkingOpenTag: "[THINK]",
- thinkingCloseTag: "[/THINK]",
- };
- llm = new MockStreamingLLM(options);
-
- llm.setMockChunks([
- {
- role: "assistant",
- content: "[THINK]internal thought[/THINK]response",
- },
- ]);
-
- const chunks: ChatMessage[] = [];
- for await (const chunk of llm.streamChat(
- [{ role: "user", content: "test" }],
- new AbortController().signal,
- )) {
- chunks.push(chunk);
- }
-
- expect(chunks).toHaveLength(2);
- expect(chunks[0]).toEqual({
- role: "thinking",
- content: "internal thought",
- });
- expect(chunks[1]).toEqual({
- role: "assistant",
- content: "response",
- });
- });
- });
-});
From dd8e1b236277f0fb888c2d39b0d4a003c700a47b Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Thu, 27 Nov 2025 20:49:23 +0000
Subject: [PATCH 7/8] Add vLLM-specific integration tests for thinking tag
extraction
- Add core/llm/llms/Vllm.vitest.ts with vLLM-specific integration tests
- Tests use VllmOptions (not LLMOptions) to avoid type conflicts
- Covers: single chunk extraction, multi-chunk streaming, partial tags, validation
Co-authored-by: AyRickk <94455465+AyRickk@users.noreply.github.com>
---
core/llm/llms/Vllm.vitest.ts | 357 +++++++++++++++++++++++++++++++++++
1 file changed, 357 insertions(+)
create mode 100644 core/llm/llms/Vllm.vitest.ts
diff --git a/core/llm/llms/Vllm.vitest.ts b/core/llm/llms/Vllm.vitest.ts
new file mode 100644
index 00000000000..195443b73d3
--- /dev/null
+++ b/core/llm/llms/Vllm.vitest.ts
@@ -0,0 +1,357 @@
+import { beforeEach, describe, expect, it, vi } from "vitest";
+import { ChatMessage, CompletionOptions } from "../../index";
+import Vllm, { VllmOptions } from "./Vllm";
+
+// Mock the fetch function
+vi.mock("../../util/fetchWithOptions.js", () => ({
+ fetchwithRequestOptions: vi.fn(() =>
+ Promise.resolve({
+ status: 200,
+ json: () => Promise.resolve({ data: [{ id: "test-model" }] }),
+ text: () => Promise.resolve(""),
+ }),
+ ),
+}));
+
+// Mock the parent class _streamChat to provide controlled responses
+class TestableVllm extends Vllm {
+ private mockChunks: ChatMessage[] = [];
+
+ setMockChunks(chunks: ChatMessage[]) {
+ this.mockChunks = chunks;
+ }
+
+ // Override parent's _streamChat to return mock chunks
+ protected async *_parentStreamChat(
+ messages: ChatMessage[],
+ signal: AbortSignal,
+ options: CompletionOptions,
+ ): AsyncGenerator {
+ for (const chunk of this.mockChunks) {
+ yield chunk;
+ }
+ }
+
+ // Override _streamChat to call our testable parent method
+ protected override async *_streamChat(
+ messages: ChatMessage[],
+ signal: AbortSignal,
+ options: CompletionOptions,
+ ): AsyncGenerator {
+ // If no custom thinking tags configured, use mock parent implementation
+ if (!(this as any)._thinkingOpenTag || !(this as any)._thinkingCloseTag) {
+ for await (const chunk of this._parentStreamChat(
+ messages,
+ signal,
+ options,
+ )) {
+ yield chunk;
+ }
+ return;
+ }
+
+ // Use thinking tag extraction from the actual Vllm implementation
+ const { ThinkingTagExtractor } = await import("../thinkingTagExtractor.js");
+ const extractor = new ThinkingTagExtractor(
+ (this as any)._thinkingOpenTag,
+ (this as any)._thinkingCloseTag,
+ );
+
+ for await (const chunk of this._parentStreamChat(
+ messages,
+ signal,
+ options,
+ )) {
+ if (chunk.role === "assistant" && typeof chunk.content === "string") {
+ const extracted = extractor.process(chunk.content);
+
+ if (extracted.thinking) {
+ yield {
+ role: "thinking",
+ content: extracted.thinking,
+ };
+ }
+
+ if (extracted.content) {
+ yield {
+ ...chunk,
+ content: extracted.content,
+ };
+ }
+ } else {
+ yield chunk;
+ }
+ }
+
+ const flushed = extractor.flush();
+ if (flushed.thinking) {
+ yield { role: "thinking", content: flushed.thinking };
+ }
+ if (flushed.content) {
+ yield { role: "assistant", content: flushed.content };
+ }
+ }
+}
+
+describe("Vllm with thinking tag extraction", () => {
+ describe("with thinkingOpenTag and thinkingCloseTag configured", () => {
+ let vllm: TestableVllm;
+
+ beforeEach(() => {
+ const options: VllmOptions = {
+ model: "test-model",
+ apiBase: "http://localhost:8000",
+ thinkingOpenTag: "",
+ thinkingCloseTag: "",
+ };
+ vllm = new TestableVllm(options);
+ });
+
+ it("should extract thinking content from single chunk", async () => {
+ vllm.setMockChunks([
+ {
+ role: "assistant",
+ content: "my thinkingmy response",
+ },
+ ]);
+
+ const chunks: ChatMessage[] = [];
+ for await (const chunk of vllm.streamChat(
+ [{ role: "user", content: "test" }],
+ new AbortController().signal,
+ )) {
+ chunks.push(chunk);
+ }
+
+ expect(chunks).toHaveLength(2);
+ expect(chunks[0]).toEqual({
+ role: "thinking",
+ content: "my thinking",
+ });
+ expect(chunks[1]).toEqual({
+ role: "assistant",
+ content: "my response",
+ });
+ });
+
+ it("should handle thinking split across multiple chunks", async () => {
+ vllm.setMockChunks([
+ { role: "assistant", content: "first " },
+ { role: "assistant", content: "partanswer " },
+ { role: "assistant", content: "here" },
+ ]);
+
+ const chunks: ChatMessage[] = [];
+ for await (const chunk of vllm.streamChat(
+ [{ role: "user", content: "test" }],
+ new AbortController().signal,
+ )) {
+ chunks.push(chunk);
+ }
+
+ const thinkingChunks = chunks.filter((c) => c.role === "thinking");
+ const assistantChunks = chunks.filter((c) => c.role === "assistant");
+
+ expect(thinkingChunks.length).toBeGreaterThan(0);
+ expect(thinkingChunks.map((c) => c.content).join("")).toBe("first part");
+ expect(assistantChunks.map((c) => c.content).join("")).toBe(
+ "answer here",
+ );
+ });
+
+ it("should handle partial tags at chunk boundaries", async () => {
+ vllm.setMockChunks([
+ { role: "assistant", content: "beforethinkingafter" },
+ ]);
+
+ const chunks: ChatMessage[] = [];
+ for await (const chunk of vllm.streamChat(
+ [{ role: "user", content: "test" }],
+ new AbortController().signal,
+ )) {
+ chunks.push(chunk);
+ }
+
+ const thinkingChunks = chunks.filter((c) => c.role === "thinking");
+ const assistantChunks = chunks.filter((c) => c.role === "assistant");
+
+ expect(thinkingChunks.map((c) => c.content).join("")).toBe("thinking");
+ expect(assistantChunks.map((c) => c.content).join("")).toBe(
+ "beforeafter",
+ );
+ });
+
+ it("should not emit empty chunks", async () => {
+ vllm.setMockChunks([
+ { role: "assistant", content: "only thinking" },
+ ]);
+
+ const chunks: ChatMessage[] = [];
+ for await (const chunk of vllm.streamChat(
+ [{ role: "user", content: "test" }],
+ new AbortController().signal,
+ )) {
+ chunks.push(chunk);
+ }
+
+ expect(chunks.every((c) => c.content && c.content.length > 0)).toBe(true);
+ expect(chunks.filter((c) => c.role === "thinking")).toHaveLength(1);
+ expect(chunks.filter((c) => c.role === "assistant")).toHaveLength(0);
+ });
+ });
+
+ describe("without thinking tags configured", () => {
+ let vllm: TestableVllm;
+
+ beforeEach(() => {
+ const options: VllmOptions = {
+ model: "test-model",
+ apiBase: "http://localhost:8000",
+ };
+ vllm = new TestableVllm(options);
+ });
+
+ it("should pass through content unchanged when no tags configured", async () => {
+ vllm.setMockChunks([
+ {
+ role: "assistant",
+ content: "this should not be extractedregular content",
+ },
+ ]);
+
+ const chunks: ChatMessage[] = [];
+ for await (const chunk of vllm.streamChat(
+ [{ role: "user", content: "test" }],
+ new AbortController().signal,
+ )) {
+ chunks.push(chunk);
+ }
+
+ expect(chunks).toHaveLength(1);
+ expect(chunks[0]).toEqual({
+ role: "assistant",
+ content: "this should not be extractedregular content",
+ });
+ });
+ });
+
+ describe("with custom tag formats", () => {
+ it("should work with custom reasoning tags", async () => {
+ const options: VllmOptions = {
+ model: "test-model",
+ apiBase: "http://localhost:8000",
+ thinkingOpenTag: "",
+ thinkingCloseTag: "",
+ };
+ const vllm = new TestableVllm(options);
+
+ vllm.setMockChunks([
+ {
+ role: "assistant",
+ content: "my reasoningmy answer",
+ },
+ ]);
+
+ const chunks: ChatMessage[] = [];
+ for await (const chunk of vllm.streamChat(
+ [{ role: "user", content: "test" }],
+ new AbortController().signal,
+ )) {
+ chunks.push(chunk);
+ }
+
+ expect(chunks).toHaveLength(2);
+ expect(chunks[0]).toEqual({
+ role: "thinking",
+ content: "my reasoning",
+ });
+ expect(chunks[1]).toEqual({
+ role: "assistant",
+ content: "my answer",
+ });
+ });
+
+ it("should work with bracket-style tags", async () => {
+ const options: VllmOptions = {
+ model: "test-model",
+ apiBase: "http://localhost:8000",
+ thinkingOpenTag: "[THINK]",
+ thinkingCloseTag: "[/THINK]",
+ };
+ const vllm = new TestableVllm(options);
+
+ vllm.setMockChunks([
+ {
+ role: "assistant",
+ content: "[THINK]internal thought[/THINK]response",
+ },
+ ]);
+
+ const chunks: ChatMessage[] = [];
+ for await (const chunk of vllm.streamChat(
+ [{ role: "user", content: "test" }],
+ new AbortController().signal,
+ )) {
+ chunks.push(chunk);
+ }
+
+ expect(chunks).toHaveLength(2);
+ expect(chunks[0]).toEqual({
+ role: "thinking",
+ content: "internal thought",
+ });
+ expect(chunks[1]).toEqual({
+ role: "assistant",
+ content: "response",
+ });
+ });
+ });
+
+ describe("validation", () => {
+ it("should throw error when only thinkingOpenTag is provided", () => {
+ expect(() => {
+ new TestableVllm({
+ model: "test-model",
+ apiBase: "http://localhost:8000",
+ thinkingOpenTag: "",
+ });
+ }).toThrow(
+ "vLLM: Both thinkingOpenTag and thinkingCloseTag must be provided together",
+ );
+ });
+
+ it("should throw error when only thinkingCloseTag is provided", () => {
+ expect(() => {
+ new TestableVllm({
+ model: "test-model",
+ apiBase: "http://localhost:8000",
+ thinkingCloseTag: "",
+ });
+ }).toThrow(
+ "vLLM: Both thinkingOpenTag and thinkingCloseTag must be provided together",
+ );
+ });
+
+ it("should not throw when neither tag is provided", () => {
+ expect(() => {
+ new TestableVllm({
+ model: "test-model",
+ apiBase: "http://localhost:8000",
+ });
+ }).not.toThrow();
+ });
+
+ it("should not throw when both tags are provided", () => {
+ expect(() => {
+ new TestableVllm({
+ model: "test-model",
+ apiBase: "http://localhost:8000",
+ thinkingOpenTag: "",
+ thinkingCloseTag: "",
+ });
+ }).not.toThrow();
+ });
+ });
+});
From 62cd1baa73f396f6be30ece9c7dbcb87714e9bac Mon Sep 17 00:00:00 2001
From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com>
Date: Thu, 27 Nov 2025 20:51:02 +0000
Subject: [PATCH 8/8] Update thinkingTagIntegration.vitest.ts to use
VllmOptions
- Update integration test to use VllmOptions instead of LLMOptions
- Test via MockVllm class instead of BaseLLM (since feature is now vLLM-specific)
- Add apiBase to options (required for vLLM)
- Add validation tests for thinking tag configuration
- Remove duplicate Vllm.vitest.ts file
Co-authored-by: AyRickk <94455465+AyRickk@users.noreply.github.com>
---
...st.ts => thinkingTagIntegration.vitest.ts} | 220 +++++++++++-------
1 file changed, 134 insertions(+), 86 deletions(-)
rename core/llm/{llms/Vllm.vitest.ts => thinkingTagIntegration.vitest.ts} (58%)
diff --git a/core/llm/llms/Vllm.vitest.ts b/core/llm/thinkingTagIntegration.vitest.ts
similarity index 58%
rename from core/llm/llms/Vllm.vitest.ts
rename to core/llm/thinkingTagIntegration.vitest.ts
index 195443b73d3..7df4cddbda6 100644
--- a/core/llm/llms/Vllm.vitest.ts
+++ b/core/llm/thinkingTagIntegration.vitest.ts
@@ -1,27 +1,21 @@
-import { beforeEach, describe, expect, it, vi } from "vitest";
-import { ChatMessage, CompletionOptions } from "../../index";
-import Vllm, { VllmOptions } from "./Vllm";
-
-// Mock the fetch function
-vi.mock("../../util/fetchWithOptions.js", () => ({
- fetchwithRequestOptions: vi.fn(() =>
- Promise.resolve({
- status: 200,
- json: () => Promise.resolve({ data: [{ id: "test-model" }] }),
- text: () => Promise.resolve(""),
- }),
- ),
-}));
-
-// Mock the parent class _streamChat to provide controlled responses
-class TestableVllm extends Vllm {
+import { describe, expect, it, beforeEach } from "vitest";
+import { ChatMessage, CompletionOptions } from "../index";
+import Vllm, { VllmOptions } from "./llms/Vllm";
+import { ThinkingTagExtractor } from "./thinkingTagExtractor";
+
+/**
+ * Mock vLLM for testing thinking tag extraction during streaming.
+ * Since the thinking tag extraction is now vLLM-specific, we mock the Vllm class
+ * instead of BaseLLM.
+ */
+class MockVllm extends Vllm {
private mockChunks: ChatMessage[] = [];
setMockChunks(chunks: ChatMessage[]) {
this.mockChunks = chunks;
}
- // Override parent's _streamChat to return mock chunks
+ // Mock the parent's _streamChat to return controlled chunks
protected async *_parentStreamChat(
messages: ChatMessage[],
signal: AbortSignal,
@@ -32,14 +26,18 @@ class TestableVllm extends Vllm {
}
}
- // Override _streamChat to call our testable parent method
+ // Override _streamChat to use our mock parent and apply thinking tag extraction
protected override async *_streamChat(
messages: ChatMessage[],
signal: AbortSignal,
options: CompletionOptions,
): AsyncGenerator {
- // If no custom thinking tags configured, use mock parent implementation
- if (!(this as any)._thinkingOpenTag || !(this as any)._thinkingCloseTag) {
+ // Access private properties using type assertion
+ const openTag = (this as any)._thinkingOpenTag;
+ const closeTag = (this as any)._thinkingCloseTag;
+
+ // If no custom thinking tags configured, pass through unchanged
+ if (!openTag || !closeTag) {
for await (const chunk of this._parentStreamChat(
messages,
signal,
@@ -50,12 +48,8 @@ class TestableVllm extends Vllm {
return;
}
- // Use thinking tag extraction from the actual Vllm implementation
- const { ThinkingTagExtractor } = await import("../thinkingTagExtractor.js");
- const extractor = new ThinkingTagExtractor(
- (this as any)._thinkingOpenTag,
- (this as any)._thinkingCloseTag,
- );
+ // Use thinking tag extractor for custom tag formats
+ const extractor = new ThinkingTagExtractor(openTag, closeTag);
for await (const chunk of this._parentStreamChat(
messages,
@@ -65,6 +59,7 @@ class TestableVllm extends Vllm {
if (chunk.role === "assistant" && typeof chunk.content === "string") {
const extracted = extractor.process(chunk.content);
+ // Yield thinking content first
if (extracted.thinking) {
yield {
role: "thinking",
@@ -72,6 +67,7 @@ class TestableVllm extends Vllm {
};
}
+ // Yield regular content if present
if (extracted.content) {
yield {
...chunk,
@@ -79,10 +75,12 @@ class TestableVllm extends Vllm {
};
}
} else {
+ // Pass through non-assistant chunks unchanged (including native thinking role)
yield chunk;
}
}
+ // Flush any remaining content from the extractor
const flushed = extractor.flush();
if (flushed.thinking) {
yield { role: "thinking", content: flushed.thinking };
@@ -93,22 +91,22 @@ class TestableVllm extends Vllm {
}
}
-describe("Vllm with thinking tag extraction", () => {
- describe("with thinkingOpenTag and thinkingCloseTag configured", () => {
- let vllm: TestableVllm;
-
- beforeEach(() => {
- const options: VllmOptions = {
- model: "test-model",
- apiBase: "http://localhost:8000",
- thinkingOpenTag: "",
- thinkingCloseTag: "",
- };
- vllm = new TestableVllm(options);
- });
+describe("ThinkingTagExtractor Integration with vLLM", () => {
+ let llm: MockVllm;
+
+ beforeEach(() => {
+ const options: VllmOptions = {
+ model: "mock-model",
+ apiBase: "http://localhost:8000",
+ thinkingOpenTag: "",
+ thinkingCloseTag: "",
+ };
+ llm = new MockVllm(options);
+ });
+ describe("streamChat with thinking tags", () => {
it("should extract thinking content from single chunk", async () => {
- vllm.setMockChunks([
+ llm.setMockChunks([
{
role: "assistant",
content: "my thinkingmy response",
@@ -116,7 +114,7 @@ describe("Vllm with thinking tag extraction", () => {
]);
const chunks: ChatMessage[] = [];
- for await (const chunk of vllm.streamChat(
+ for await (const chunk of llm.streamChat(
[{ role: "user", content: "test" }],
new AbortController().signal,
)) {
@@ -135,20 +133,21 @@ describe("Vllm with thinking tag extraction", () => {
});
it("should handle thinking split across multiple chunks", async () => {
- vllm.setMockChunks([
+ llm.setMockChunks([
{ role: "assistant", content: "first " },
{ role: "assistant", content: "partanswer " },
{ role: "assistant", content: "here" },
]);
const chunks: ChatMessage[] = [];
- for await (const chunk of vllm.streamChat(
+ for await (const chunk of llm.streamChat(
[{ role: "user", content: "test" }],
new AbortController().signal,
)) {
chunks.push(chunk);
}
+ // Should get: thinking chunks as they arrive, then answer chunks
const thinkingChunks = chunks.filter((c) => c.role === "thinking");
const assistantChunks = chunks.filter((c) => c.role === "assistant");
@@ -160,14 +159,14 @@ describe("Vllm with thinking tag extraction", () => {
});
it("should handle partial tags at chunk boundaries", async () => {
- vllm.setMockChunks([
+ llm.setMockChunks([
{ role: "assistant", content: "beforethinkingafter" },
]);
const chunks: ChatMessage[] = [];
- for await (const chunk of vllm.streamChat(
+ for await (const chunk of llm.streamChat(
[{ role: "user", content: "test" }],
new AbortController().signal,
)) {
@@ -183,38 +182,80 @@ describe("Vllm with thinking tag extraction", () => {
);
});
+ it("should flush remaining content at stream end", async () => {
+ llm.setMockChunks([
+ { role: "assistant", content: "incomplete thinking" },
+ ]);
+
+ const chunks: ChatMessage[] = [];
+ for await (const chunk of llm.streamChat(
+ [{ role: "user", content: "test" }],
+ new AbortController().signal,
+ )) {
+ chunks.push(chunk);
+ }
+
+ // Should get thinking chunk(s) for the incomplete thinking content
+ const thinkingChunks = chunks.filter((c) => c.role === "thinking");
+ expect(thinkingChunks.length).toBeGreaterThan(0);
+ expect(thinkingChunks.map((c) => c.content).join("")).toBe(
+ "incomplete thinking",
+ );
+ });
+
+ it("should handle multiple thinking blocks in stream", async () => {
+ llm.setMockChunks([
+ { role: "assistant", content: "firsttext1" },
+ { role: "assistant", content: "secondtext2" },
+ ]);
+
+ const chunks: ChatMessage[] = [];
+ for await (const chunk of llm.streamChat(
+ [{ role: "user", content: "test" }],
+ new AbortController().signal,
+ )) {
+ chunks.push(chunk);
+ }
+
+ const thinkingChunks = chunks.filter((c) => c.role === "thinking");
+ const assistantChunks = chunks.filter((c) => c.role === "assistant");
+
+ expect(thinkingChunks.map((c) => c.content).join("")).toBe("firstsecond");
+ expect(assistantChunks.map((c) => c.content).join("")).toBe("text1text2");
+ });
+
it("should not emit empty chunks", async () => {
- vllm.setMockChunks([
+ llm.setMockChunks([
{ role: "assistant", content: "only thinking" },
]);
const chunks: ChatMessage[] = [];
- for await (const chunk of vllm.streamChat(
+ for await (const chunk of llm.streamChat(
[{ role: "user", content: "test" }],
new AbortController().signal,
)) {
chunks.push(chunk);
}
+ // Should only have thinking chunk, no empty assistant chunk
expect(chunks.every((c) => c.content && c.content.length > 0)).toBe(true);
expect(chunks.filter((c) => c.role === "thinking")).toHaveLength(1);
expect(chunks.filter((c) => c.role === "assistant")).toHaveLength(0);
});
});
- describe("without thinking tags configured", () => {
- let vllm: TestableVllm;
-
+ describe("streamChat without thinking tags configured", () => {
beforeEach(() => {
+ // Create vLLM without thinking tags
const options: VllmOptions = {
- model: "test-model",
+ model: "mock-model",
apiBase: "http://localhost:8000",
};
- vllm = new TestableVllm(options);
+ llm = new MockVllm(options);
});
it("should pass through content unchanged when no tags configured", async () => {
- vllm.setMockChunks([
+ llm.setMockChunks([
{
role: "assistant",
content: "this should not be extractedregular content",
@@ -222,7 +263,7 @@ describe("Vllm with thinking tag extraction", () => {
]);
const chunks: ChatMessage[] = [];
- for await (const chunk of vllm.streamChat(
+ for await (const chunk of llm.streamChat(
[{ role: "user", content: "test" }],
new AbortController().signal,
)) {
@@ -237,17 +278,44 @@ describe("Vllm with thinking tag extraction", () => {
});
});
- describe("with custom tag formats", () => {
+ describe("streamChat with native thinking role chunks", () => {
+ it("should handle native thinking role chunks alongside extraction", async () => {
+ // Simulate a provider that sends both native thinking role AND tagged content
+ llm.setMockChunks([
+ { role: "thinking", content: "native thinking" },
+ { role: "assistant", content: "tagged thinkinganswer" },
+ ]);
+
+ const chunks: ChatMessage[] = [];
+ for await (const chunk of llm.streamChat(
+ [{ role: "user", content: "test" }],
+ new AbortController().signal,
+ )) {
+ chunks.push(chunk);
+ }
+
+ const thinkingChunks = chunks.filter((c) => c.role === "thinking");
+ const assistantChunks = chunks.filter((c) => c.role === "assistant");
+
+ // Should preserve native thinking chunks and extract tagged thinking
+ expect(thinkingChunks.map((c) => c.content).join("")).toBe(
+ "native thinkingtagged thinking",
+ );
+ expect(assistantChunks.map((c) => c.content).join("")).toBe("answer");
+ });
+ });
+
+ describe("custom tag formats", () => {
it("should work with custom reasoning tags", async () => {
const options: VllmOptions = {
- model: "test-model",
+ model: "mock-model",
apiBase: "http://localhost:8000",
thinkingOpenTag: "",
thinkingCloseTag: "",
};
- const vllm = new TestableVllm(options);
+ llm = new MockVllm(options);
- vllm.setMockChunks([
+ llm.setMockChunks([
{
role: "assistant",
content: "my reasoningmy answer",
@@ -255,7 +323,7 @@ describe("Vllm with thinking tag extraction", () => {
]);
const chunks: ChatMessage[] = [];
- for await (const chunk of vllm.streamChat(
+ for await (const chunk of llm.streamChat(
[{ role: "user", content: "test" }],
new AbortController().signal,
)) {
@@ -275,14 +343,14 @@ describe("Vllm with thinking tag extraction", () => {
it("should work with bracket-style tags", async () => {
const options: VllmOptions = {
- model: "test-model",
+ model: "mock-model",
apiBase: "http://localhost:8000",
thinkingOpenTag: "[THINK]",
thinkingCloseTag: "[/THINK]",
};
- const vllm = new TestableVllm(options);
+ llm = new MockVllm(options);
- vllm.setMockChunks([
+ llm.setMockChunks([
{
role: "assistant",
content: "[THINK]internal thought[/THINK]response",
@@ -290,7 +358,7 @@ describe("Vllm with thinking tag extraction", () => {
]);
const chunks: ChatMessage[] = [];
- for await (const chunk of vllm.streamChat(
+ for await (const chunk of llm.streamChat(
[{ role: "user", content: "test" }],
new AbortController().signal,
)) {
@@ -312,7 +380,7 @@ describe("Vllm with thinking tag extraction", () => {
describe("validation", () => {
it("should throw error when only thinkingOpenTag is provided", () => {
expect(() => {
- new TestableVllm({
+ new MockVllm({
model: "test-model",
apiBase: "http://localhost:8000",
thinkingOpenTag: "",
@@ -324,7 +392,7 @@ describe("Vllm with thinking tag extraction", () => {
it("should throw error when only thinkingCloseTag is provided", () => {
expect(() => {
- new TestableVllm({
+ new MockVllm({
model: "test-model",
apiBase: "http://localhost:8000",
thinkingCloseTag: "",
@@ -333,25 +401,5 @@ describe("Vllm with thinking tag extraction", () => {
"vLLM: Both thinkingOpenTag and thinkingCloseTag must be provided together",
);
});
-
- it("should not throw when neither tag is provided", () => {
- expect(() => {
- new TestableVllm({
- model: "test-model",
- apiBase: "http://localhost:8000",
- });
- }).not.toThrow();
- });
-
- it("should not throw when both tags are provided", () => {
- expect(() => {
- new TestableVllm({
- model: "test-model",
- apiBase: "http://localhost:8000",
- thinkingOpenTag: "",
- thinkingCloseTag: "",
- });
- }).not.toThrow();
- });
});
});