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nsarrazin commited on
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de36cdc
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1 Parent(s): 97802e3

feat: add a local endpoint type for inference directly from chat-ui (#1778)

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* feat: add a local endpoint type running llama.cpp from chat-ui

* fix: build image

* fix: lock file

* wip: try to make it more reliable

* feat: load chat template from .gguf file

* feat: load gguf models from `models/` folder

* fix: default config

* feat: make endpoint use chatSession instead of completion

* refactor: improve exit handling, exit immediately on second sinal

* fix: various fixes to improve reliability when calling multiple models at once

* docs: add instructions for adding .gguf files to the models directory

Files changed (20) hide show
  1. .env +2 -0
  2. .gitignore +3 -1
  3. models/add-your-models-here.txt +1 -0
  4. package-lock.json +2103 -30
  5. package.json +5 -1
  6. src/lib/buildPrompt.ts +4 -1
  7. src/lib/server/database.ts +8 -22
  8. src/lib/server/endpoints/endpoints.ts +3 -0
  9. src/lib/server/endpoints/local/endpointLocal.ts +237 -0
  10. src/lib/server/endpoints/local/utilsLocal.ts +3 -0
  11. src/lib/server/exitHandler.ts +25 -7
  12. src/lib/server/findRepoRoot.ts +13 -0
  13. src/lib/server/generateFromDefaultEndpoint.ts +3 -3
  14. src/lib/server/models.ts +59 -8
  15. src/lib/server/textGeneration/reasoning.ts +3 -3
  16. src/lib/server/textGeneration/title.ts +3 -3
  17. src/lib/server/websearch/search/generateQuery.ts +3 -3
  18. src/lib/utils/template.ts +3 -0
  19. stub/@reflink/reflink/index.js +0 -0
  20. stub/@reflink/reflink/package.json +5 -0
.env CHANGED
@@ -41,6 +41,8 @@ MODELS=`[
41
  ]
42
  }
43
  ]`
 
 
44
  ## Text Embedding Models used for websearch
45
  # Default is a model that runs locally on CPU.
46
  TEXT_EMBEDDING_MODELS = `[
 
41
  ]
42
  }
43
  ]`
44
+
45
+ LOAD_GGUF_MODELS=true
46
  ## Text Embedding Models used for websearch
47
  # Default is a model that runs locally on CPU.
48
  TEXT_EMBEDDING_MODELS = `[
.gitignore CHANGED
@@ -12,4 +12,6 @@ SECRET_CONFIG
12
  !.env.ci
13
  !.env
14
  gcp-*.json
15
- db
 
 
 
12
  !.env.ci
13
  !.env
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  gcp-*.json
15
+ db
16
+ models/*
17
+ !models/add-your-models-here.txt
models/add-your-models-here.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ You can add .gguf files to this folder, and they will be picked up automatically by chat-ui.
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  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8759
  "node_modules/log-update": {
8760
  "version": "6.1.0",
8761
  "resolved": "https://registry.npmjs.org/log-update/-/log-update-6.1.0.tgz",
@@ -8884,6 +10188,22 @@
8884
  "dev": true,
8885
  "license": "MIT"
8886
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8887
  "node_modules/lru-cache": {
8888
  "version": "6.0.0",
8889
  "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz",
@@ -8963,14 +10283,39 @@
8963
  "resolved": "https://registry.npmjs.org/media-typer/-/media-typer-0.3.0.tgz",
8964
  "integrity": "sha512-dq+qelQ9akHpcOl/gUVRTxVIOkAJ1wR3QAvb4RsVjS8oVoFjDGTc679wJYmUmknUF5HwMLOgb5O+a3KxfWapPQ==",
8965
  "engines": {
8966
- "node": ">= 0.6"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8967
  }
8968
  },
8969
- "node_modules/memory-pager": {
8970
- "version": "1.5.0",
8971
- "resolved": "https://registry.npmjs.org/memory-pager/-/memory-pager-1.5.0.tgz",
8972
- "integrity": "sha512-ZS4Bp4r/Zoeq6+NLJpP+0Zzm0pR8whtGPf1XExKLJBAczGMnSi3It14OiNCStjQjM6NU1okjQGSxgEZN8eBYKg=="
8973
- },
8974
  "node_modules/merge-descriptors": {
8975
  "version": "1.0.3",
8976
  "resolved": "https://registry.npmjs.org/merge-descriptors/-/merge-descriptors-1.0.3.tgz",
@@ -9123,6 +10468,19 @@
9123
  "url": "https://github.com/sponsors/isaacs"
9124
  }
9125
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
9126
  "node_modules/mlly": {
9127
  "version": "1.7.1",
9128
  "resolved": "https://registry.npmjs.org/mlly/-/mlly-1.7.1.tgz",
@@ -9571,6 +10929,23 @@
9571
  "node": ">=12.22.0"
9572
  }
9573
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9574
  "node_modules/node-domexception": {
9575
  "version": "1.0.0",
9576
  "resolved": "https://registry.npmjs.org/node-domexception/-/node-domexception-1.0.0.tgz",
@@ -9643,6 +11018,202 @@
9643
  "resolved": "https://registry.npmjs.org/node-int64/-/node-int64-0.4.0.tgz",
9644
  "integrity": "sha512-O5lz91xSOeoXP6DulyHfllpq+Eg00MWitZIbtPfoSEvqIHdl5gfcY6hYzDWnj0qD5tz52PI08u9qUvSVeUBeHw=="
9645
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9646
  "node_modules/node-releases": {
9647
  "version": "2.0.18",
9648
  "resolved": "https://registry.npmjs.org/node-releases/-/node-releases-2.0.18.tgz",
@@ -9689,6 +11260,23 @@
9689
  "url": "https://github.com/sponsors/sindresorhus"
9690
  }
9691
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9692
  "node_modules/nwsapi": {
9693
  "version": "2.2.12",
9694
  "resolved": "https://registry.npmjs.org/nwsapi/-/nwsapi-2.2.12.tgz",
@@ -9729,6 +11317,28 @@
9729
  "node": ">=0.10"
9730
  }
9731
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9732
  "node_modules/oidc-token-hash": {
9733
  "version": "5.0.3",
9734
  "resolved": "https://registry.npmjs.org/oidc-token-hash/-/oidc-token-hash-5.0.3.tgz",
@@ -9893,7 +11503,121 @@
9893
  "word-wrap": "^1.2.5"
9894
  },
9895
  "engines": {
9896
- "node": ">= 0.8.0"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9897
  }
9898
  },
9899
  "node_modules/outvariant": {
@@ -10007,6 +11731,19 @@
10007
  "hex-rgb": "^4.1.0"
10008
  }
10009
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
10010
  "node_modules/parse-srcset": {
10011
  "version": "1.0.2",
10012
  "resolved": "https://registry.npmjs.org/parse-srcset/-/parse-srcset-1.0.2.tgz",
@@ -10687,6 +12424,35 @@
10687
  }
10688
  }
10689
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
10690
  "node_modules/process": {
10691
  "version": "0.11.10",
10692
  "resolved": "https://registry.npmjs.org/process/-/process-0.11.10.tgz",
@@ -10713,6 +12479,35 @@
10713
  "node": "^16 || ^18 || >=20"
10714
  }
10715
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
10716
  "node_modules/protobufjs": {
10717
  "version": "7.4.0",
10718
  "resolved": "https://registry.npmjs.org/protobufjs/-/protobufjs-7.4.0.tgz",
@@ -10749,6 +12544,13 @@
10749
  "node": ">= 0.10"
10750
  }
10751
  },
 
 
 
 
 
 
 
10752
  "node_modules/psl": {
10753
  "version": "1.9.0",
10754
  "resolved": "https://registry.npmjs.org/psl/-/psl-1.9.0.tgz",
@@ -10862,6 +12664,32 @@
10862
  "node": ">= 0.8"
10863
  }
10864
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
10865
  "node_modules/read-cache": {
10866
  "version": "1.0.0",
10867
  "resolved": "https://registry.npmjs.org/read-cache/-/read-cache-1.0.0.tgz",
@@ -10976,6 +12804,16 @@
10976
  "url": "https://github.com/sponsors/sindresorhus"
10977
  }
10978
  },
 
 
 
 
 
 
 
 
 
 
10979
  "node_modules/reusify": {
10980
  "version": "1.0.4",
10981
  "resolved": "https://registry.npmjs.org/reusify/-/reusify-1.0.4.tgz",
@@ -11244,9 +13082,10 @@
11244
  }
11245
  },
11246
  "node_modules/semver": {
11247
- "version": "7.6.3",
11248
- "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.3.tgz",
11249
- "integrity": "sha512-oVekP1cKtI+CTDvHWYFUcMtsK/00wmAEfyqKfNdARm8u1wNVhSgaX7A8d4UuIlUI5e84iEwOhs7ZPYRmzU9U6A==",
 
11250
  "bin": {
11251
  "semver": "bin/semver.js"
11252
  },
@@ -11320,6 +13159,13 @@
11320
  "node": ">= 0.8"
11321
  }
11322
  },
 
 
 
 
 
 
 
11323
  "node_modules/set-cookie-parser": {
11324
  "version": "2.7.0",
11325
  "resolved": "https://registry.npmjs.org/set-cookie-parser/-/set-cookie-parser-2.7.0.tgz",
@@ -11438,6 +13284,22 @@
11438
  "url": "https://github.com/sponsors/isaacs"
11439
  }
11440
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11441
  "node_modules/simple-swizzle": {
11442
  "version": "0.2.2",
11443
  "resolved": "https://registry.npmjs.org/simple-swizzle/-/simple-swizzle-0.2.2.tgz",
@@ -11469,6 +13331,13 @@
11469
  "node": ">=8"
11470
  }
11471
  },
 
 
 
 
 
 
 
11472
  "node_modules/slice-ansi": {
11473
  "version": "5.0.0",
11474
  "resolved": "https://registry.npmjs.org/slice-ansi/-/slice-ansi-5.0.0.tgz",
@@ -11596,6 +13465,121 @@
11596
  "dev": true,
11597
  "license": "MIT"
11598
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11599
  "node_modules/streamx": {
11600
  "version": "2.20.1",
11601
  "resolved": "https://registry.npmjs.org/streamx/-/streamx-2.20.1.tgz",
@@ -12300,6 +14284,16 @@
12300
  "node": ">=8.0"
12301
  }
12302
  },
 
 
 
 
 
 
 
 
 
 
12303
  "node_modules/toidentifier": {
12304
  "version": "1.0.1",
12305
  "resolved": "https://registry.npmjs.org/toidentifier/-/toidentifier-1.0.1.tgz",
@@ -12542,6 +14536,20 @@
12542
  "tiny-inflate": "^1.0.0"
12543
  }
12544
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12545
  "node_modules/universalify": {
12546
  "version": "0.2.0",
12547
  "resolved": "https://registry.npmjs.org/universalify/-/universalify-0.2.0.tgz",
@@ -12663,7 +14671,7 @@
12663
  "version": "4.0.1",
12664
  "resolved": "https://registry.npmjs.org/url-join/-/url-join-4.0.1.tgz",
12665
  "integrity": "sha512-jk1+QP6ZJqyOiuEI9AEWQfju/nB2Pw466kbA0LEZljHwKeMgd9WrAEgEGxjPDD2+TNbbb37rTyhEfrCXfuKXnA==",
12666
- "optional": true
12667
  },
12668
  "node_modules/url-parse": {
12669
  "version": "1.5.10",
@@ -12705,6 +14713,16 @@
12705
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12706
  "devOptional": true
12707
  },
 
 
 
 
 
 
 
 
 
 
12708
  "node_modules/varint": {
12709
  "version": "5.0.2",
12710
  "resolved": "https://registry.npmjs.org/varint/-/varint-5.0.2.tgz",
@@ -13072,6 +15090,48 @@
13072
  "node": ">=8"
13073
  }
13074
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
13075
  "node_modules/word-wrap": {
13076
  "version": "1.2.5",
13077
  "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",
@@ -13338,6 +15398,19 @@
13338
  "url": "https://github.com/sponsors/sindresorhus"
13339
  }
13340
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
13341
  "node_modules/yoctocolors-cjs": {
13342
  "version": "2.1.2",
13343
  "resolved": "https://registry.npmjs.org/yoctocolors-cjs/-/yoctocolors-cjs-2.1.2.tgz",
 
86
  "js-yaml": "^4.1.0",
87
  "minimist": "^1.2.8",
88
  "mongodb-memory-server": "^10.1.2",
89
+ "node-llama-cpp": "^3.6.0",
90
  "prettier": "^3.1.0",
91
  "prettier-plugin-svelte": "^3.2.6",
92
  "prettier-plugin-tailwindcss": "^0.6.11",
 
107
  "@anthropic-ai/vertex-sdk": "^0.4.1",
108
  "@aws-sdk/client-bedrock-runtime": "^3.631.0",
109
  "@google-cloud/vertexai": "^1.1.0",
110
+ "@google/generative-ai": "^0.24.0",
111
  "aws4fetch": "^1.0.17",
112
  "cohere-ai": "^7.9.0",
113
  "openai": "^4.44.0"
 
1980
  }
1981
  },
1982
  "node_modules/@google/generative-ai": {
1983
+ "version": "0.24.0",
1984
+ "resolved": "https://registry.npmjs.org/@google/generative-ai/-/generative-ai-0.24.0.tgz",
1985
+ "integrity": "sha512-fnEITCGEB7NdX0BhoYZ/cq/7WPZ1QS5IzJJfC3Tg/OwkvBetMiVJciyaan297OvE4B9Jg1xvo0zIazX/9sGu1Q==",
1986
+ "license": "Apache-2.0",
1987
  "optional": true,
1988
  "engines": {
1989
  "node": ">=18.0.0"
 
2033
  }
2034
  },
2035
  "node_modules/@huggingface/jinja": {
2036
+ "version": "0.3.3",
2037
+ "resolved": "https://registry.npmjs.org/@huggingface/jinja/-/jinja-0.3.3.tgz",
2038
+ "integrity": "sha512-vQQr2JyWvVFba3Lj9es4q9vCl1sAc74fdgnEMoX8qHrXtswap9ge9uO3ONDzQB0cQ0PUyaKY2N6HaVbTBvSXvw==",
2039
  "license": "MIT",
2040
  "engines": {
2041
  "node": ">=18"
 
2756
  "@jridgewell/sourcemap-codec": "^1.4.14"
2757
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2758
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2759
+ "node_modules/@kwsites/file-exists": {
2760
+ "version": "1.1.1",
2761
+ "resolved": "https://registry.npmjs.org/@kwsites/file-exists/-/file-exists-1.1.1.tgz",
2762
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2763
+ "dev": true,
2764
+ "license": "MIT",
2765
+ "dependencies": {
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2767
+ }
2768
+ },
2769
+ "node_modules/@kwsites/promise-deferred": {
2770
+ "version": "1.1.1",
2771
+ "resolved": "https://registry.npmjs.org/@kwsites/promise-deferred/-/promise-deferred-1.1.1.tgz",
2772
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2773
+ "dev": true,
2774
+ "license": "MIT"
2775
+ },
2776
  "node_modules/@mongodb-js/saslprep": {
2777
  "version": "1.1.9",
2778
  "resolved": "https://registry.npmjs.org/@mongodb-js/saslprep/-/saslprep-1.1.9.tgz",
 
2799
  "node": ">=18"
2800
  }
2801
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2802
+ "node_modules/@node-llama-cpp/linux-arm64": {
2803
+ "version": "3.6.0",
2804
+ "resolved": "https://registry.npmjs.org/@node-llama-cpp/linux-arm64/-/linux-arm64-3.6.0.tgz",
2805
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2806
+ "cpu": [
2807
+ "arm64",
2808
+ "x64"
2809
+ ],
2810
+ "dev": true,
2811
+ "license": "MIT",
2812
+ "optional": true,
2813
+ "os": [
2814
+ "linux"
2815
+ ],
2816
+ "engines": {
2817
+ "node": ">=18.0.0"
2818
+ }
2819
+ },
2820
+ "node_modules/@node-llama-cpp/linux-armv7l": {
2821
+ "version": "3.6.0",
2822
+ "resolved": "https://registry.npmjs.org/@node-llama-cpp/linux-armv7l/-/linux-armv7l-3.6.0.tgz",
2823
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2827
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2828
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2829
+ "license": "MIT",
2830
+ "optional": true,
2831
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2832
+ "linux"
2833
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2834
+ "engines": {
2835
+ "node": ">=18.0.0"
2836
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2837
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2838
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+ "version": "3.6.0",
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2842
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+ "x64"
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2846
+ "license": "MIT",
2847
+ "optional": true,
2848
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+ "linux"
2850
+ ],
2851
+ "engines": {
2852
+ "node": ">=18.0.0"
2853
+ }
2854
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2855
+ "node_modules/@node-llama-cpp/linux-x64-cuda": {
2856
+ "version": "3.6.0",
2857
+ "resolved": "https://registry.npmjs.org/@node-llama-cpp/linux-x64-cuda/-/linux-x64-cuda-3.6.0.tgz",
2858
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2862
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2863
+ "license": "MIT",
2864
+ "optional": true,
2865
+ "os": [
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+ "linux"
2867
+ ],
2868
+ "engines": {
2869
+ "node": ">=18.0.0"
2870
+ }
2871
+ },
2872
+ "node_modules/@node-llama-cpp/linux-x64-vulkan": {
2873
+ "version": "3.6.0",
2874
+ "resolved": "https://registry.npmjs.org/@node-llama-cpp/linux-x64-vulkan/-/linux-x64-vulkan-3.6.0.tgz",
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+ "x64"
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+ ],
2879
+ "dev": true,
2880
+ "license": "MIT",
2881
+ "optional": true,
2882
+ "os": [
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+ "linux"
2884
+ ],
2885
+ "engines": {
2886
+ "node": ">=18.0.0"
2887
+ }
2888
+ },
2889
+ "node_modules/@node-llama-cpp/mac-arm64-metal": {
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+ "version": "3.6.0",
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+ "resolved": "https://registry.npmjs.org/@node-llama-cpp/mac-arm64-metal/-/mac-arm64-metal-3.6.0.tgz",
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+ "cpu": [
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+ "arm64",
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+ "x64"
2896
+ ],
2897
+ "dev": true,
2898
+ "license": "MIT",
2899
+ "optional": true,
2900
+ "os": [
2901
+ "darwin"
2902
+ ],
2903
+ "engines": {
2904
+ "node": ">=18.0.0"
2905
+ }
2906
+ },
2907
+ "node_modules/@node-llama-cpp/mac-x64": {
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+ "resolved": "https://registry.npmjs.org/@node-llama-cpp/mac-x64/-/mac-x64-3.6.0.tgz",
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+ "license": "MIT",
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2917
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+ "darwin"
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+ ],
2920
+ "engines": {
2921
+ "node": ">=18.0.0"
2922
+ }
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+ },
2924
+ "node_modules/@node-llama-cpp/win-arm64": {
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+ "version": "3.6.0",
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+ "resolved": "https://registry.npmjs.org/@node-llama-cpp/win-arm64/-/win-arm64-3.6.0.tgz",
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12556
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12665
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13091
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13159
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13160
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13286
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13305
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13331
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13332
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13333
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13560
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13564
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13568
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13569
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13570
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13578
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13580
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13581
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13582
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13583
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13584
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13585
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14284
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14285
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14286
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14287
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14288
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14289
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14292
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14297
  "node_modules/toidentifier": {
14298
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14299
  "resolved": "https://registry.npmjs.org/toidentifier/-/toidentifier-1.0.1.tgz",
 
14536
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14537
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14538
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14539
+ "node_modules/universal-github-app-jwt": {
14540
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14541
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14554
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14555
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14671
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14674
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14675
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14715
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14716
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+ "version": "6.0.0",
14718
+ "resolved": "https://registry.npmjs.org/validate-npm-package-name/-/validate-npm-package-name-6.0.0.tgz",
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14720
+ "dev": true,
14721
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14722
+ "engines": {
14723
+ "node": "^18.17.0 || >=20.5.0"
14724
+ }
14725
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14726
  "node_modules/varint": {
14727
  "version": "5.0.2",
14728
  "resolved": "https://registry.npmjs.org/varint/-/varint-5.0.2.tgz",
 
15090
  "node": ">=8"
15091
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15092
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15093
+ "node_modules/wide-align": {
15094
+ "version": "1.1.5",
15095
+ "resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.5.tgz",
15096
+ "integrity": "sha512-eDMORYaPNZ4sQIuuYPDHdQvf4gyCF9rEEV/yPxGfwPkRodwEgiMUUXTx/dex+Me0wxx53S+NgUHaP7y3MGlDmg==",
15097
+ "dev": true,
15098
+ "license": "ISC",
15099
+ "dependencies": {
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+ "string-width": "^1.0.2 || 2 || 3 || 4"
15101
+ }
15102
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15103
+ "node_modules/wide-align/node_modules/emoji-regex": {
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+ "version": "8.0.0",
15105
+ "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
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+ "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==",
15107
+ "dev": true,
15108
+ "license": "MIT"
15109
+ },
15110
+ "node_modules/wide-align/node_modules/is-fullwidth-code-point": {
15111
+ "version": "3.0.0",
15112
+ "resolved": "https://registry.npmjs.org/is-fullwidth-code-point/-/is-fullwidth-code-point-3.0.0.tgz",
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15114
+ "dev": true,
15115
+ "license": "MIT",
15116
+ "engines": {
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15118
+ }
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15120
+ "node_modules/wide-align/node_modules/string-width": {
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15124
+ "dev": true,
15125
+ "license": "MIT",
15126
+ "dependencies": {
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+ "emoji-regex": "^8.0.0",
15128
+ "is-fullwidth-code-point": "^3.0.0",
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+ "strip-ansi": "^6.0.1"
15130
+ },
15131
+ "engines": {
15132
+ "node": ">=8"
15133
+ }
15134
+ },
15135
  "node_modules/word-wrap": {
15136
  "version": "1.2.5",
15137
  "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",
 
15398
  "url": "https://github.com/sponsors/sindresorhus"
15399
  }
15400
  },
15401
+ "node_modules/yoctocolors": {
15402
+ "version": "2.1.1",
15403
+ "resolved": "https://registry.npmjs.org/yoctocolors/-/yoctocolors-2.1.1.tgz",
15404
+ "integrity": "sha512-GQHQqAopRhwU8Kt1DDM8NjibDXHC8eoh1erhGAJPEyveY9qqVeXvVikNKrDz69sHowPMorbPUrH/mx8c50eiBQ==",
15405
+ "dev": true,
15406
+ "license": "MIT",
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+ "engines": {
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+ "node": ">=18"
15409
+ },
15410
+ "funding": {
15411
+ "url": "https://github.com/sponsors/sindresorhus"
15412
+ }
15413
+ },
15414
  "node_modules/yoctocolors-cjs": {
15415
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15416
  "resolved": "https://registry.npmjs.org/yoctocolors-cjs/-/yoctocolors-cjs-2.1.2.tgz",
package.json CHANGED
@@ -46,6 +46,7 @@
46
  "js-yaml": "^4.1.0",
47
  "minimist": "^1.2.8",
48
  "mongodb-memory-server": "^10.1.2",
 
49
  "prettier": "^3.1.0",
50
  "prettier-plugin-svelte": "^3.2.6",
51
  "prettier-plugin-tailwindcss": "^0.6.11",
@@ -116,9 +117,12 @@
116
  "@anthropic-ai/vertex-sdk": "^0.4.1",
117
  "@aws-sdk/client-bedrock-runtime": "^3.631.0",
118
  "@google-cloud/vertexai": "^1.1.0",
119
- "@google/generative-ai": "^0.14.1",
120
  "aws4fetch": "^1.0.17",
121
  "cohere-ai": "^7.9.0",
122
  "openai": "^4.44.0"
 
 
 
123
  }
124
  }
 
46
  "js-yaml": "^4.1.0",
47
  "minimist": "^1.2.8",
48
  "mongodb-memory-server": "^10.1.2",
49
+ "node-llama-cpp": "^3.6.0",
50
  "prettier": "^3.1.0",
51
  "prettier-plugin-svelte": "^3.2.6",
52
  "prettier-plugin-tailwindcss": "^0.6.11",
 
117
  "@anthropic-ai/vertex-sdk": "^0.4.1",
118
  "@aws-sdk/client-bedrock-runtime": "^3.631.0",
119
  "@google-cloud/vertexai": "^1.1.0",
120
+ "@google/generative-ai": "^0.24.0",
121
  "aws4fetch": "^1.0.17",
122
  "cohere-ai": "^7.9.0",
123
  "openai": "^4.44.0"
124
+ },
125
+ "overrides": {
126
+ "@reflink/reflink": "file:stub/@reflink/reflink"
127
  }
128
  }
src/lib/buildPrompt.ts CHANGED
@@ -24,7 +24,10 @@ export async function buildPrompt({
24
 
25
  let prompt = model
26
  .chatPromptRender({
27
- messages: filteredMessages,
 
 
 
28
  preprompt,
29
  tools,
30
  toolResults,
 
24
 
25
  let prompt = model
26
  .chatPromptRender({
27
+ messages: filteredMessages.map((m) => ({
28
+ ...m,
29
+ role: m.from,
30
+ })),
31
  preprompt,
32
  tools,
33
  toolResults,
src/lib/server/database.ts CHANGED
@@ -22,19 +22,12 @@ import { onExit } from "./exitHandler";
22
  import { fileURLToPath } from "url";
23
  import { dirname, join } from "path";
24
  import { existsSync, mkdirSync } from "fs";
 
25
 
26
  export const CONVERSATION_STATS_COLLECTION = "conversations.stats";
27
 
28
- function findRepoRoot(startPath: string): string {
29
- let currentPath = startPath;
30
- while (currentPath !== "/") {
31
- if (existsSync(join(currentPath, "package.json"))) {
32
- return currentPath;
33
- }
34
- currentPath = dirname(currentPath);
35
- }
36
- throw new Error("Could not find repository root (no package.json found)");
37
- }
38
 
39
  export class Database {
40
  private client?: MongoClient;
@@ -46,24 +39,17 @@ export class Database {
46
  if (!env.MONGODB_URL) {
47
  logger.warn("No MongoDB URL found, using in-memory server");
48
 
49
- // Find repo root by looking for package.json
50
- const currentFilePath = fileURLToPath(import.meta.url);
51
- const repoRoot = findRepoRoot(dirname(currentFilePath));
52
-
53
- // Use MONGO_STORAGE_PATH from env if set, otherwise use db/ in repo root
54
- const dbPath = env.MONGO_STORAGE_PATH || join(repoRoot, "db");
55
-
56
- logger.info(`Using database path: ${dbPath}`);
57
  // Create db directory if it doesn't exist
58
- if (!existsSync(dbPath)) {
59
- logger.info(`Creating database directory at ${dbPath}`);
60
- mkdirSync(dbPath, { recursive: true });
61
  }
62
 
63
  this.mongoServer = await MongoMemoryServer.create({
64
  instance: {
65
  dbName: env.MONGODB_DB_NAME + (import.meta.env.MODE === "test" ? "-test" : ""),
66
- dbPath,
67
  },
68
  binary: {
69
  version: "7.0.18",
 
22
  import { fileURLToPath } from "url";
23
  import { dirname, join } from "path";
24
  import { existsSync, mkdirSync } from "fs";
25
+ import { findRepoRoot } from "./findRepoRoot";
26
 
27
  export const CONVERSATION_STATS_COLLECTION = "conversations.stats";
28
 
29
+ export const DB_FOLDER =
30
+ env.MONGO_STORAGE_PATH || join(findRepoRoot(dirname(fileURLToPath(import.meta.url))), "db");
 
 
 
 
 
 
 
 
31
 
32
  export class Database {
33
  private client?: MongoClient;
 
39
  if (!env.MONGODB_URL) {
40
  logger.warn("No MongoDB URL found, using in-memory server");
41
 
42
+ logger.info(`Using database path: ${DB_FOLDER}`);
 
 
 
 
 
 
 
43
  // Create db directory if it doesn't exist
44
+ if (!existsSync(DB_FOLDER)) {
45
+ logger.info(`Creating database directory at ${DB_FOLDER}`);
46
+ mkdirSync(DB_FOLDER, { recursive: true });
47
  }
48
 
49
  this.mongoServer = await MongoMemoryServer.create({
50
  instance: {
51
  dbName: env.MONGODB_DB_NAME + (import.meta.env.MODE === "test" ? "-test" : ""),
52
+ dbPath: DB_FOLDER,
53
  },
54
  binary: {
55
  version: "7.0.18",
src/lib/server/endpoints/endpoints.ts CHANGED
@@ -30,6 +30,7 @@ import endpointLangserve, {
30
 
31
  import type { Tool, ToolCall, ToolResult } from "$lib/types/Tool";
32
  import type { ObjectId } from "mongodb";
 
33
 
34
  export type EndpointMessage = Omit<Message, "id">;
35
 
@@ -75,6 +76,7 @@ export const endpoints = {
75
  cloudflare: endpointCloudflare,
76
  cohere: endpointCohere,
77
  langserve: endpointLangserve,
 
78
  };
79
 
80
  export const endpointSchema = z.discriminatedUnion("type", [
@@ -91,5 +93,6 @@ export const endpointSchema = z.discriminatedUnion("type", [
91
  endpointCloudflareParametersSchema,
92
  endpointCohereParametersSchema,
93
  endpointLangserveParametersSchema,
 
94
  ]);
95
  export default endpoints;
 
30
 
31
  import type { Tool, ToolCall, ToolResult } from "$lib/types/Tool";
32
  import type { ObjectId } from "mongodb";
33
+ import { endpointLocal, endpointLocalParametersSchema } from "./local/endpointLocal";
34
 
35
  export type EndpointMessage = Omit<Message, "id">;
36
 
 
76
  cloudflare: endpointCloudflare,
77
  cohere: endpointCohere,
78
  langserve: endpointLangserve,
79
+ local: endpointLocal,
80
  };
81
 
82
  export const endpointSchema = z.discriminatedUnion("type", [
 
93
  endpointCloudflareParametersSchema,
94
  endpointCohereParametersSchema,
95
  endpointLangserveParametersSchema,
96
+ endpointLocalParametersSchema,
97
  ]);
98
  export default endpoints;
src/lib/server/endpoints/local/endpointLocal.ts ADDED
@@ -0,0 +1,237 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import { env } from "$env/dynamic/private";
2
+ import type {
3
+ Endpoint,
4
+ EndpointMessage,
5
+ TextGenerationStreamOutputWithToolsAndWebSources,
6
+ } from "../endpoints";
7
+ import { z } from "zod";
8
+ import {
9
+ createImageProcessorOptionsValidator,
10
+ makeImageProcessor,
11
+ type ImageProcessor,
12
+ } from "../images";
13
+
14
+ import { LlamaChatSession, LlamaContextSequence, resolveModelFile } from "node-llama-cpp";
15
+ import { findRepoRoot } from "$lib/server/findRepoRoot";
16
+ import { fileURLToPath } from "url";
17
+ import { dirname, join } from "path";
18
+ import { logger } from "$lib/server/logger";
19
+ import { llama } from "./utilsLocal";
20
+
21
+ export const endpointLocalParametersSchema = z.object({
22
+ weight: z.number().int().positive().default(1),
23
+ model: z.any(),
24
+ modelPath: z.string().optional(),
25
+ type: z.literal("local"),
26
+ multimodal: z
27
+ .object({
28
+ // Assumes IDEFICS
29
+ image: createImageProcessorOptionsValidator({
30
+ supportedMimeTypes: ["image/jpeg", "image/webp"],
31
+ preferredMimeType: "image/webp",
32
+ maxSizeInMB: 5,
33
+ maxWidth: 378,
34
+ maxHeight: 980,
35
+ }),
36
+ })
37
+ .default({}),
38
+ });
39
+
40
+ export async function endpointLocal(
41
+ input: z.input<typeof endpointLocalParametersSchema>
42
+ ): Promise<Endpoint> {
43
+ // Parse and validate input
44
+ const {
45
+ modelPath: modelPathInput,
46
+ multimodal,
47
+ model,
48
+ } = endpointLocalParametersSchema.parse(input);
49
+
50
+ // Setup model path and folder
51
+ const path = modelPathInput ?? `hf:${model.id ?? model.name}`;
52
+ const modelFolder =
53
+ env.MODELS_STORAGE_PATH ||
54
+ join(findRepoRoot(dirname(fileURLToPath(import.meta.url))), "models");
55
+
56
+ // Initialize Llama model
57
+
58
+ const modelPath = await resolveModelFile(path, modelFolder);
59
+ const modelLoaded = await llama.loadModel({
60
+ modelPath,
61
+ });
62
+ // Create context and image processor
63
+ const context = await modelLoaded.createContext({ sequences: 1 });
64
+ const imageProcessor = makeImageProcessor(multimodal.image);
65
+
66
+ return async function ({
67
+ messages,
68
+ preprompt,
69
+ continueMessage,
70
+ generateSettings,
71
+ // tools,
72
+ // toolResults,
73
+ isMultimodal,
74
+ }) {
75
+ // Process messages and build prompt
76
+ const processedMessages = await Promise.all(
77
+ messages.map((msg) => prepareMessage(Boolean(isMultimodal), msg, imageProcessor))
78
+ );
79
+
80
+ let sequence: LlamaContextSequence;
81
+ try {
82
+ sequence = context.getSequence();
83
+ } catch (error) {
84
+ logger.error(error, `Error getting sequence`);
85
+ throw error;
86
+ }
87
+
88
+ const chatSession = new LlamaChatSession({
89
+ contextSequence: sequence,
90
+ systemPrompt: preprompt,
91
+ });
92
+
93
+ chatSession.setChatHistory(
94
+ messages.slice(0, -1).map((message) => {
95
+ switch (message.from) {
96
+ case "user":
97
+ return {
98
+ type: "user",
99
+ text: message.content,
100
+ };
101
+ case "assistant":
102
+ return {
103
+ type: "model",
104
+ response: [message.content],
105
+ };
106
+ case "system":
107
+ return {
108
+ type: "system",
109
+ text: message.content,
110
+ };
111
+ }
112
+ })
113
+ );
114
+
115
+ async function* generateTokens(): AsyncGenerator<TextGenerationStreamOutputWithToolsAndWebSources> {
116
+ let tokenId = 0;
117
+ let fullText = "";
118
+ // A simple queue for tokens that have been produced
119
+ const queue: TextGenerationStreamOutputWithToolsAndWebSources[] = [];
120
+ let waitingResolve:
121
+ | ((value: TextGenerationStreamOutputWithToolsAndWebSources | null) => void)
122
+ | null = null;
123
+ let generationCompleted = false;
124
+
125
+ // Helper function to push tokens to the queue
126
+ function pushOutput(output: TextGenerationStreamOutputWithToolsAndWebSources) {
127
+ if (waitingResolve) {
128
+ waitingResolve(output);
129
+ waitingResolve = null;
130
+ } else {
131
+ queue.push(output);
132
+ }
133
+ }
134
+
135
+ const options = {
136
+ maxTokens: generateSettings?.max_new_tokens,
137
+ temperature: generateSettings?.temperature ?? 0.2,
138
+ topP: generateSettings?.top_p ?? 0.9,
139
+ topK: generateSettings?.top_k ?? 40,
140
+ onTextChunk: (text: string) => {
141
+ fullText += text;
142
+ const output: TextGenerationStreamOutputWithToolsAndWebSources = {
143
+ token: {
144
+ id: tokenId++,
145
+ text,
146
+ logprob: 0,
147
+ special: false,
148
+ },
149
+ generated_text: null,
150
+ details: null,
151
+ };
152
+ // Instead of returning the token, push it into our queue.
153
+ pushOutput(output);
154
+ },
155
+ };
156
+
157
+ let generationPromise;
158
+ if (!continueMessage)
159
+ // Start the token generation process
160
+ generationPromise = chatSession.prompt(
161
+ processedMessages[processedMessages.length - 1].content,
162
+ options
163
+ );
164
+ else {
165
+ generationPromise = chatSession.completePrompt(
166
+ processedMessages[processedMessages.length - 1].content,
167
+ options
168
+ );
169
+ }
170
+
171
+ try {
172
+ // Yield tokens as they become available
173
+ while (!generationCompleted || queue.length > 0) {
174
+ if (queue.length === 0) {
175
+ const output =
176
+ await new Promise<TextGenerationStreamOutputWithToolsAndWebSources | null>(
177
+ (resolve) => (waitingResolve = resolve)
178
+ );
179
+
180
+ // When output is null, it indicates generation completion.
181
+ if (output === null || !output.token.text) break;
182
+ if (model.parameters.stop_sequences?.includes(output.token.text)) {
183
+ break;
184
+ }
185
+ yield output;
186
+ } else {
187
+ const output = queue.shift();
188
+ if (output) yield output;
189
+ }
190
+ }
191
+
192
+ // Wait for the generation process to complete (and catch errors if any)
193
+ await generationPromise.finally(() => {
194
+ generationCompleted = true;
195
+ // Resolve any pending waiters so the loop can end.
196
+ if (waitingResolve) {
197
+ waitingResolve(null);
198
+ waitingResolve = null;
199
+ }
200
+ });
201
+
202
+ // Yield a final token that contains the full generated text.
203
+ yield {
204
+ token: {
205
+ id: tokenId,
206
+ text: "",
207
+ logprob: 0,
208
+ special: true,
209
+ },
210
+ generated_text: fullText,
211
+ details: null,
212
+ };
213
+ } catch (error) {
214
+ logger.error(error, `Generation error`);
215
+ // Ensure we clean up the LlamaManager in case of errors
216
+ throw error;
217
+ }
218
+ }
219
+
220
+ return generateTokens();
221
+ };
222
+ }
223
+
224
+ async function prepareMessage(
225
+ isMultimodal: boolean,
226
+ message: EndpointMessage,
227
+ imageProcessor: ImageProcessor
228
+ ): Promise<EndpointMessage> {
229
+ if (!isMultimodal) return message;
230
+ const files = await Promise.all(message.files?.map(imageProcessor) ?? []);
231
+ const markdowns = files.map(
232
+ (file) => `![](data:${file.mime};base64,${file.image.toString("base64")})`
233
+ );
234
+ const content = message.content + "\n" + markdowns.join("\n ");
235
+
236
+ return { ...message, content };
237
+ }
src/lib/server/endpoints/local/utilsLocal.ts ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ import { getLlama } from "node-llama-cpp";
2
+
3
+ export const llama = await getLlama();
src/lib/server/exitHandler.ts CHANGED
@@ -24,18 +24,36 @@ async function runExitHandler(handler: ExitHandler): Promise<void> {
24
  export function initExitHandler() {
25
  let signalCount = 0;
26
  const exitHandler = async () => {
27
- signalCount++;
28
  if (signalCount === 1) {
29
  logger.info("Received signal... Exiting");
30
  await Promise.all(Array.from(listeners.values()).map(runExitHandler));
31
  logger.info("All exit handlers ran... Waiting for svelte server to exit");
32
  }
33
- if (signalCount === 3) {
34
- logger.warn("Received 3 signals... Exiting immediately");
35
- process.exit(1);
36
- }
37
  };
38
 
39
- process.on("SIGINT", exitHandler);
40
- process.on("SIGTERM", exitHandler);
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
41
  }
 
24
  export function initExitHandler() {
25
  let signalCount = 0;
26
  const exitHandler = async () => {
 
27
  if (signalCount === 1) {
28
  logger.info("Received signal... Exiting");
29
  await Promise.all(Array.from(listeners.values()).map(runExitHandler));
30
  logger.info("All exit handlers ran... Waiting for svelte server to exit");
31
  }
 
 
 
 
32
  };
33
 
34
+ process.on("SIGINT", () => {
35
+ signalCount++;
36
+
37
+ if (signalCount >= 2) {
38
+ process.kill(process.pid, "SIGKILL");
39
+ } else {
40
+ exitHandler().catch((err) => {
41
+ logger.error("Exit handler error:", err);
42
+ process.kill(process.pid, "SIGKILL");
43
+ });
44
+ }
45
+ });
46
+
47
+ process.on("SIGTERM", () => {
48
+ signalCount++;
49
+
50
+ if (signalCount >= 2) {
51
+ process.kill(process.pid, "SIGKILL");
52
+ } else {
53
+ exitHandler().catch((err) => {
54
+ logger.error("Exit handler error:", err);
55
+ process.kill(process.pid, "SIGKILL");
56
+ });
57
+ }
58
+ });
59
  }
src/lib/server/findRepoRoot.ts ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import { existsSync } from "fs";
2
+ import { join, dirname } from "path";
3
+
4
+ export function findRepoRoot(startPath: string): string {
5
+ let currentPath = startPath;
6
+ while (currentPath !== "/") {
7
+ if (existsSync(join(currentPath, "package.json"))) {
8
+ return currentPath;
9
+ }
10
+ currentPath = dirname(currentPath);
11
+ }
12
+ throw new Error("Could not find repository root (no package.json found)");
13
+ }
src/lib/server/generateFromDefaultEndpoint.ts CHANGED
@@ -1,4 +1,4 @@
1
- import { smallModel } from "$lib/server/models";
2
  import { MessageUpdateType, type MessageUpdate } from "$lib/types/MessageUpdate";
3
  import type { EndpointMessage } from "./endpoints/endpoints";
4
 
@@ -11,7 +11,7 @@ export async function* generateFromDefaultEndpoint({
11
  preprompt?: string;
12
  generateSettings?: Record<string, unknown>;
13
  }): AsyncGenerator<MessageUpdate, string, undefined> {
14
- const endpoint = await smallModel.getEndpoint();
15
 
16
  const tokenStream = await endpoint({ messages, preprompt, generateSettings });
17
 
@@ -19,7 +19,7 @@ export async function* generateFromDefaultEndpoint({
19
  // if not generated_text is here it means the generation is not done
20
  if (output.generated_text) {
21
  let generated_text = output.generated_text;
22
- for (const stop of [...(smallModel.parameters?.stop ?? []), "<|endoftext|>"]) {
23
  if (generated_text.endsWith(stop)) {
24
  generated_text = generated_text.slice(0, -stop.length).trimEnd();
25
  }
 
1
+ import { taskModel } from "$lib/server/models";
2
  import { MessageUpdateType, type MessageUpdate } from "$lib/types/MessageUpdate";
3
  import type { EndpointMessage } from "./endpoints/endpoints";
4
 
 
11
  preprompt?: string;
12
  generateSettings?: Record<string, unknown>;
13
  }): AsyncGenerator<MessageUpdate, string, undefined> {
14
+ const endpoint = await taskModel.getEndpoint();
15
 
16
  const tokenStream = await endpoint({ messages, preprompt, generateSettings });
17
 
 
19
  // if not generated_text is here it means the generation is not done
20
  if (output.generated_text) {
21
  let generated_text = output.generated_text;
22
+ for (const stop of [...(taskModel.parameters?.stop ?? []), "<|endoftext|>"]) {
23
  if (generated_text.endsWith(stop)) {
24
  generated_text = generated_text.slice(0, -stop.length).trimEnd();
25
  }
src/lib/server/models.ts CHANGED
@@ -14,6 +14,15 @@ import { getTokenizer } from "$lib/utils/getTokenizer";
14
  import { logger } from "$lib/server/logger";
15
  import { ToolResultStatus, type ToolInput } from "$lib/types/Tool";
16
  import { isHuggingChat } from "$lib/utils/isHuggingChat";
 
 
 
 
 
 
 
 
 
17
 
18
  type Optional<T, K extends keyof T> = Pick<Partial<T>, K> & Omit<T, K>;
19
 
@@ -88,11 +97,51 @@ const modelConfig = z.object({
88
  reasoning: reasoningSchema.optional(),
89
  });
90
 
91
- const modelsRaw = z.array(modelConfig).parse(JSON5.parse(env.MODELS));
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
92
 
93
  async function getChatPromptRender(
94
  m: z.infer<typeof modelConfig>
95
  ): Promise<ReturnType<typeof compileTemplate<ChatTemplateInput>>> {
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
96
  if (m.chatPromptTemplate) {
97
  return compileTemplate<ChatTemplateInput>(m.chatPromptTemplate, m);
98
  }
@@ -305,6 +354,8 @@ const addEndpoint = (m: Awaited<ReturnType<typeof processModel>>) => ({
305
  switch (args.type) {
306
  case "tgi":
307
  return endpoints.tgi(args);
 
 
308
  case "anthropic":
309
  return endpoints.anthropic(args);
310
  case "anthropic-vertex":
@@ -393,13 +444,13 @@ export const validateModel = (_models: BackendModel[]) => {
393
 
394
  // if `TASK_MODEL` is string & name of a model in `MODELS`, then we use `MODELS[TASK_MODEL]`, else we try to parse `TASK_MODEL` as a model config itself
395
 
396
- export const smallModel = env.TASK_MODEL
397
- ? ((models.find((m) => m.name === env.TASK_MODEL) ||
398
- (await processModel(modelConfig.parse(JSON5.parse(env.TASK_MODEL))).then((m) =>
399
- addEndpoint(m)
400
- ))) ??
401
- defaultModel)
402
- : defaultModel;
403
 
404
  export type BackendModel = Optional<
405
  typeof defaultModel,
 
14
  import { logger } from "$lib/server/logger";
15
  import { ToolResultStatus, type ToolInput } from "$lib/types/Tool";
16
  import { isHuggingChat } from "$lib/utils/isHuggingChat";
17
+ import { join, dirname } from "path";
18
+ import { resolveModelFile, readGgufFileInfo } from "node-llama-cpp";
19
+ import { fileURLToPath } from "url";
20
+ import { findRepoRoot } from "./findRepoRoot";
21
+ import { Template } from "@huggingface/jinja";
22
+ import { readdirSync } from "fs";
23
+
24
+ export const MODELS_FOLDER =
25
+ env.MODELS_STORAGE_PATH || join(findRepoRoot(dirname(fileURLToPath(import.meta.url))), "models");
26
 
27
  type Optional<T, K extends keyof T> = Pick<Partial<T>, K> & Omit<T, K>;
28
 
 
97
  reasoning: reasoningSchema.optional(),
98
  });
99
 
100
+ const ggufModelsConfig = await Promise.all(
101
+ readdirSync(MODELS_FOLDER)
102
+ .filter((f) => f.endsWith(".gguf"))
103
+ .map(async (f) => {
104
+ return {
105
+ name: f.replace(".gguf", ""),
106
+ endpoints: [
107
+ {
108
+ type: "local" as const,
109
+ modelPath: f,
110
+ },
111
+ ],
112
+ };
113
+ })
114
+ );
115
+
116
+ let modelsRaw = z.array(modelConfig).parse(JSON5.parse(env.MODELS ?? "[]"));
117
+
118
+ if (env.LOAD_GGUF_MODELS === "true" || modelsRaw.length === 0) {
119
+ const parsedGgufModels = z.array(modelConfig).parse(ggufModelsConfig);
120
+ modelsRaw = [...modelsRaw, ...parsedGgufModels];
121
+ }
122
 
123
  async function getChatPromptRender(
124
  m: z.infer<typeof modelConfig>
125
  ): Promise<ReturnType<typeof compileTemplate<ChatTemplateInput>>> {
126
+ if (m.endpoints?.some((e) => e.type === "local")) {
127
+ const endpoint = m.endpoints?.find((e) => e.type === "local");
128
+ const path = endpoint?.modelPath ?? `hf:${m.id ?? m.name}`;
129
+
130
+ const modelPath = await resolveModelFile(path, MODELS_FOLDER);
131
+
132
+ const info = await readGgufFileInfo(modelPath, {
133
+ readTensorInfo: false,
134
+ });
135
+
136
+ if (info.metadata.tokenizer.chat_template) {
137
+ // compile with jinja
138
+ const jinjaTemplate = new Template(info.metadata.tokenizer.chat_template);
139
+ return (inputs: ChatTemplateInput) => {
140
+ return jinjaTemplate.render({ ...m, ...inputs });
141
+ };
142
+ }
143
+ }
144
+
145
  if (m.chatPromptTemplate) {
146
  return compileTemplate<ChatTemplateInput>(m.chatPromptTemplate, m);
147
  }
 
354
  switch (args.type) {
355
  case "tgi":
356
  return endpoints.tgi(args);
357
+ case "local":
358
+ return endpoints.local(args);
359
  case "anthropic":
360
  return endpoints.anthropic(args);
361
  case "anthropic-vertex":
 
444
 
445
  // if `TASK_MODEL` is string & name of a model in `MODELS`, then we use `MODELS[TASK_MODEL]`, else we try to parse `TASK_MODEL` as a model config itself
446
 
447
+ export const taskModel = addEndpoint(
448
+ env.TASK_MODEL
449
+ ? ((models.find((m) => m.name === env.TASK_MODEL) ||
450
+ (await processModel(modelConfig.parse(JSON5.parse(env.TASK_MODEL))))) ??
451
+ defaultModel)
452
+ : defaultModel
453
+ );
454
 
455
  export type BackendModel = Optional<
456
  typeof defaultModel,
src/lib/server/textGeneration/reasoning.ts CHANGED
@@ -1,5 +1,5 @@
1
  import { generateFromDefaultEndpoint } from "../generateFromDefaultEndpoint";
2
- import { smallModel } from "../models";
3
  import { getReturnFromGenerator } from "$lib/utils/getReturnFromGenerator";
4
  import { getToolOutput } from "../tools/getToolOutput";
5
  import type { Tool } from "$lib/types/Tool";
@@ -18,7 +18,7 @@ export async function generateSummaryOfReasoning(buffer: string): Promise<string
18
  const preprompt = `You are tasked with submitting a summary of the latest reasoning steps into a tool. Never describe results of the reasoning, only the process. Remain vague in your summary.
19
  The text might be incomplete, try your best to summarize it in one very short sentence, starting with a gerund and ending with three points. The sentence must be very short, ideally 5 words or less.`;
20
 
21
- if (smallModel.tools) {
22
  const summaryTool = {
23
  name: "summary",
24
  description: "Submit a summary for the submitted text",
@@ -33,7 +33,7 @@ The text might be incomplete, try your best to summarize it in one very short se
33
  ],
34
  } as unknown as Tool;
35
 
36
- const endpoint = await smallModel.getEndpoint();
37
  summary = await getToolOutput({
38
  messages,
39
  preprompt,
 
1
  import { generateFromDefaultEndpoint } from "../generateFromDefaultEndpoint";
2
+ import { taskModel } from "../models";
3
  import { getReturnFromGenerator } from "$lib/utils/getReturnFromGenerator";
4
  import { getToolOutput } from "../tools/getToolOutput";
5
  import type { Tool } from "$lib/types/Tool";
 
18
  const preprompt = `You are tasked with submitting a summary of the latest reasoning steps into a tool. Never describe results of the reasoning, only the process. Remain vague in your summary.
19
  The text might be incomplete, try your best to summarize it in one very short sentence, starting with a gerund and ending with three points. The sentence must be very short, ideally 5 words or less.`;
20
 
21
+ if (taskModel.tools) {
22
  const summaryTool = {
23
  name: "summary",
24
  description: "Submit a summary for the submitted text",
 
33
  ],
34
  } as unknown as Tool;
35
 
36
+ const endpoint = await taskModel.getEndpoint();
37
  summary = await getToolOutput({
38
  messages,
39
  preprompt,
src/lib/server/textGeneration/title.ts CHANGED
@@ -4,7 +4,7 @@ import { logger } from "$lib/server/logger";
4
  import { MessageUpdateType, type MessageUpdate } from "$lib/types/MessageUpdate";
5
  import type { Conversation } from "$lib/types/Conversation";
6
  import { getReturnFromGenerator } from "$lib/utils/getReturnFromGenerator";
7
- import { smallModel } from "../models";
8
  import type { Tool } from "$lib/types/Tool";
9
  import { getToolOutput } from "../tools/getToolOutput";
10
 
@@ -33,7 +33,7 @@ export async function generateTitle(prompt: string) {
33
  return prompt.split(/\s+/g).slice(0, 5).join(" ");
34
  }
35
 
36
- if (smallModel.tools) {
37
  const titleTool = {
38
  name: "title",
39
  description:
@@ -48,7 +48,7 @@ export async function generateTitle(prompt: string) {
48
  ],
49
  } as unknown as Tool;
50
 
51
- const endpoint = await smallModel.getEndpoint();
52
  const title = await getToolOutput({
53
  messages: [
54
  {
 
4
  import { MessageUpdateType, type MessageUpdate } from "$lib/types/MessageUpdate";
5
  import type { Conversation } from "$lib/types/Conversation";
6
  import { getReturnFromGenerator } from "$lib/utils/getReturnFromGenerator";
7
+ import { taskModel } from "../models";
8
  import type { Tool } from "$lib/types/Tool";
9
  import { getToolOutput } from "../tools/getToolOutput";
10
 
 
33
  return prompt.split(/\s+/g).slice(0, 5).join(" ");
34
  }
35
 
36
+ if (taskModel.tools) {
37
  const titleTool = {
38
  name: "title",
39
  description:
 
48
  ],
49
  } as unknown as Tool;
50
 
51
+ const endpoint = await taskModel.getEndpoint();
52
  const title = await getToolOutput({
53
  messages: [
54
  {
src/lib/server/websearch/search/generateQuery.ts CHANGED
@@ -3,14 +3,14 @@ import { format } from "date-fns";
3
  import type { EndpointMessage } from "../../endpoints/endpoints";
4
  import { generateFromDefaultEndpoint } from "../../generateFromDefaultEndpoint";
5
  import { getReturnFromGenerator } from "$lib/utils/getReturnFromGenerator";
6
- import { smallModel } from "$lib/server/models";
7
  import type { Tool } from "$lib/types/Tool";
8
  import { getToolOutput } from "$lib/server/tools/getToolOutput";
9
 
10
  export async function generateQuery(messages: Message[]) {
11
  const currentDate = format(new Date(), "MMMM d, yyyy");
12
 
13
- if (smallModel.tools) {
14
  const webSearchTool = {
15
  name: "web_search",
16
  description: "Search the web for information",
@@ -24,7 +24,7 @@ export async function generateQuery(messages: Message[]) {
24
  ],
25
  } as unknown as Tool;
26
 
27
- const endpoint = await smallModel.getEndpoint();
28
  const query = await getToolOutput({
29
  messages,
30
  preprompt: `The user wants you to search the web for information. Give a relevant google search query to answer the question. Answer with only the query. Today is ${currentDate}`,
 
3
  import type { EndpointMessage } from "../../endpoints/endpoints";
4
  import { generateFromDefaultEndpoint } from "../../generateFromDefaultEndpoint";
5
  import { getReturnFromGenerator } from "$lib/utils/getReturnFromGenerator";
6
+ import { taskModel } from "$lib/server/models";
7
  import type { Tool } from "$lib/types/Tool";
8
  import { getToolOutput } from "$lib/server/tools/getToolOutput";
9
 
10
  export async function generateQuery(messages: Message[]) {
11
  const currentDate = format(new Date(), "MMMM d, yyyy");
12
 
13
+ if (taskModel.tools) {
14
  const webSearchTool = {
15
  name: "web_search",
16
  description: "Search the web for information",
 
24
  ],
25
  } as unknown as Tool;
26
 
27
+ const endpoint = await taskModel.getEndpoint();
28
  const query = await getToolOutput({
29
  messages,
30
  preprompt: `The user wants you to search the web for information. Give a relevant google search query to answer the question. Answer with only the query. Today is ${currentDate}`,
src/lib/utils/template.ts CHANGED
@@ -1,6 +1,7 @@
1
  import type { Message } from "$lib/types/Message";
2
  import Handlebars from "handlebars";
3
  import { Template } from "@huggingface/jinja";
 
4
 
5
  // Register Handlebars helpers
6
  Handlebars.registerHelper("ifUser", function (this: Pick<Message, "from" | "content">, options) {
@@ -24,6 +25,7 @@ export function compileTemplate<T>(
24
  // Try to compile with Jinja
25
  jinjaTemplate = new Template(input);
26
  } catch (e) {
 
27
  // Could not compile with Jinja
28
  jinjaTemplate = undefined;
29
  }
@@ -41,6 +43,7 @@ export function compileTemplate<T>(
41
  try {
42
  return jinjaTemplate.render({ ...model, ...inputs });
43
  } catch (e) {
 
44
  // Fallback to Handlebars if Jinja rendering fails
45
  return hbTemplate({ ...model, ...inputs });
46
  }
 
1
  import type { Message } from "$lib/types/Message";
2
  import Handlebars from "handlebars";
3
  import { Template } from "@huggingface/jinja";
4
+ import { logger } from "$lib/server/logger";
5
 
6
  // Register Handlebars helpers
7
  Handlebars.registerHelper("ifUser", function (this: Pick<Message, "from" | "content">, options) {
 
25
  // Try to compile with Jinja
26
  jinjaTemplate = new Template(input);
27
  } catch (e) {
28
+ logger.error(e, "Could not compile with Jinja");
29
  // Could not compile with Jinja
30
  jinjaTemplate = undefined;
31
  }
 
43
  try {
44
  return jinjaTemplate.render({ ...model, ...inputs });
45
  } catch (e) {
46
+ logger.error(e, "Could not render with Jinja");
47
  // Fallback to Handlebars if Jinja rendering fails
48
  return hbTemplate({ ...model, ...inputs });
49
  }
stub/@reflink/reflink/index.js ADDED
File without changes
stub/@reflink/reflink/package.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "name": "@reflink/reflink",
3
+ "version": "0.0.0",
4
+ "main": "index.js"
5
+ }