Refine tool call execution logic in chat-stream-provider to prevent duplicates, enhance retries for agentic-rag, and improve incremental processing, including test updates.

Add Agentic RAG Tool integration with test cases
- Implemented intelligent retrieval-augmented generation system (`agentic_rag`) for dynamic decision-making on knowledge retrieval. - Uses Milvus with a large dataset - Added comprehensive test cases for query analysis, storage, retrieval, and error handling. - Integrated `AgenticRAGTools` into `chat-stream-provider` enabling tool-based responses. - Updated dependencies with `@zilliz/milvus2-sdk-node` for Milvus integration. - Updated lander hero title.
2025-09-08 22:56:46 +00:00 · 2025-07-31 18:26:42 -04:00 · 2025-07-31 16:15:23 -04:00 · 2025-07-31 10:10:35 -04:00 · 2025-07-27 12:30:47 -04:00 · 2025-07-27 09:32:46 -04:00
30 changed files with 1884 additions and 1199 deletions
--- a/.gitignore
+++ b/.gitignore
@@ -24,4 +24,5 @@ wrangler.dev.jsonc
 /packages/client/public/pwa-64x64.png
 /packages/client/public/pwa-192x192.png
 /packages/client/public/pwa-512x512.png
-packages/client/public/yachtpit_bg*
+packages/client/public/yachtpit_bg*
+/project/
--- a/.gitmodules
+++ b/.gitmodules
@@ -1,3 +0,0 @@
-[submodule "crates/yachtpit"]
-	path = crates/yachtpit
-	url = https://github.com/seemueller-io/yachtpit.git
--- a/bun.lock
+++ b/bun.lock
@@ -26,6 +26,7 @@
        "@anthropic-ai/sdk": "^0.55.0",
        "@open-gsio/env": "workspace:*",
        "@open-gsio/schema": "workspace:*",
+        "@zilliz/milvus2-sdk-node": "^2.6.0",
        "openai": "^5.0.1",
        "vite": "^6.3.5",
        "vitest": "^3.1.4",
@@ -439,6 +440,8 @@

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+
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@@ -451,6 +454,8 @@

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+    "@dabh/diagnostics": ["@dabh/diagnostics@2.0.3", "", { "dependencies": { "colorspace": "1.1.x", "enabled": "2.0.x", "kuler": "^2.0.0" } }, "sha512-hrlQOIi7hAfzsMqlGSFyVucrx38O+j6wiGOf//H2ecvIEqYN4ADBSS2iLMh5UFyDunCNniUIPk/q3riFv45xRA=="],
+
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@@ -539,6 +544,10 @@

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@@ -645,6 +654,8 @@

    "@open-gsio/worker": ["@open-gsio/worker@workspace:packages/cloudflare-workers/open-gsio"],

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+
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@@ -667,6 +678,8 @@

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@@ -675,6 +688,26 @@

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@@ -859,6 +894,8 @@

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@@ -1173,6 +1220,8 @@

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+    "fn.name": ["fn.name@1.1.0", "", {}, "sha512-GRnmB5gPyJpAhTQdSZTSp9uaPSvl09KoYcMQtsB9rQoOmzs9dH6ffeccH+Z+cv6P68Hu5bC6JjRh4Ah/mHSNRw=="],
+
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@@ -1197,10 +1246,14 @@

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+    "generic-pool": ["generic-pool@3.9.0", "", {}, "sha512-hymDOu5B53XvN4QT9dBmZxPX4CWhBPPLguTZ9MMFeFa/Kg0xWVfylOVNlJji/E7yTZWFd/q9GO5TxDLq156D7g=="],
+
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+    "get-caller-file": ["get-caller-file@2.0.5", "", {}, "sha512-DyFP3BM/3YHTQOCUL/w0OZHR0lpKeGrxotcHWcqNEdnltqFwXVfhEBQ94eIo34AfQpo0rGki4cyIiftY06h2Fg=="],
+
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@@ -1423,6 +1476,8 @@

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+    "kuler": ["kuler@2.0.0", "", {}, "sha512-Xq9nH7KlWZmXAtodXDDRE7vs6DU1gTU8zYDHDiWLSip45Egwq3plLHzPn27NgvzL2r1LMPC1vdqh98sQxtqj4A=="],
+
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@@ -1455,6 +1510,8 @@

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+    "lodash.camelcase": ["lodash.camelcase@4.3.0", "", {}, "sha512-TwuEnCnxbc3rAvhf/LbG7tJUDzhqXyFnv3dtzLOPgCG/hODL7WFnsbwktkD7yUV0RrreP/l1PALq/YSg6VvjlA=="],
+
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@@ -1463,11 +1520,15 @@

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+    "logform": ["logform@2.7.0", "", { "dependencies": { "@colors/colors": "1.6.0", "@types/triple-beam": "^1.3.2", "fecha": "^4.2.0", "ms": "^2.1.1", "safe-stable-stringify": "^2.3.1", "triple-beam": "^1.3.0" } }, "sha512-TFYA4jnP7PVbmlBIfhlSe+WKxs9dklXMTEGcBCIvLhE/Tn3H6Gk1norupVW7m5Cnd4bLcr08AytbyV/xj7f/kQ=="],
+
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+
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+    "lru-cache": ["lru-cache@9.1.2", "", {}, "sha512-ERJq3FOzJTxBbFjZ7iDs+NiK4VI9Wz+RdrrAB8dio1oV+YvdPzUEE4QNiT2VD51DkIbCYRUUzCRkssXCHqSnKQ=="],

    "lucide-react": ["lucide-react@0.436.0", "", { "peerDependencies": { "react": "^16.5.1 || ^17.0.0 || ^18.0.0 || ^19.0.0-rc" } }, "sha512-N292bIxoqm1aObAg0MzFtvhYwgQE6qnIOWx/GLj5ONgcTPH6N0fD9bVq/GfdeC9ZORBXozt/XeEKDpiB3x3vlQ=="],

@@ -1573,6 +1634,8 @@

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+    "one-time": ["one-time@1.0.0", "", { "dependencies": { "fn.name": "1.x.x" } }, "sha512-5DXOiRKwuSEcQ/l0kGCF6Q3jcADFv5tSmRaJck/OqkVFcOzutB134KRSfF0xDrL39MNnqxbHBbUUcjZIhTgb2g=="],
+
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    "openai": ["openai@5.0.1", "", { "peerDependencies": { "ws": "^8.18.0", "zod": "^3.23.8" }, "optionalPeers": ["ws", "zod"], "bin": { "openai": "bin/cli" } }, "sha512-Do6vxhbDv7cXhji/4ct1lrpZYMAOmjYbhyA9LJTuG7OfpbWMpuS+EIXkRT7R+XxpRB1OZhU/op4FU3p3uxU6gw=="],
@@ -1639,6 +1702,8 @@

    "property-information": ["property-information@7.0.0", "", {}, "sha512-7D/qOz/+Y4X/rzSB6jKxKUsQnphO046ei8qxG59mtM3RG3DHgTK81HrxrmoDVINJb8NKT5ZsRbwHvQ6B68Iyhg=="],

+    "protobufjs": ["protobufjs@7.5.3", "", { "dependencies": { "@protobufjs/aspromise": "^1.1.2", "@protobufjs/base64": "^1.1.2", "@protobufjs/codegen": "^2.0.4", "@protobufjs/eventemitter": "^1.1.0", "@protobufjs/fetch": "^1.1.0", "@protobufjs/float": "^1.0.2", "@protobufjs/inquire": "^1.1.0", "@protobufjs/path": "^1.1.2", "@protobufjs/pool": "^1.1.0", "@protobufjs/utf8": "^1.1.0", "@types/node": ">=13.7.0", "long": "^5.0.0" } }, "sha512-sildjKwVqOI2kmFDiXQ6aEB0fjYTafpEvIBs8tOR8qI4spuL9OPROLVu2qZqi/xgCfsHIwVqlaF8JBjWFHnKbw=="],
+
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    "psl": ["psl@1.15.0", "", { "dependencies": { "punycode": "^2.3.1" } }, "sha512-JZd3gMVBAVQkSs6HdNZo9Sdo0LNcQeMNP3CozBJb3JYC/QUYZTnKxP+f8oWRX4rHP5EurWxqAHTSwUCjlNKa1w=="],
@@ -1685,6 +1750,8 @@

    "react-textarea-autosize": ["react-textarea-autosize@8.5.9", "", { "dependencies": { "@babel/runtime": "^7.20.13", "use-composed-ref": "^1.3.0", "use-latest": "^1.2.1" }, "peerDependencies": { "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0" } }, "sha512-U1DGlIQN5AwgjTyOEnI1oCcMuEr1pv1qOtklB2l4nyMGbHzWrI0eFsYK0zos2YWqAolJyG0IWJaqWmWj5ETh0A=="],

+    "readable-stream": ["readable-stream@3.6.2", "", { "dependencies": { "inherits": "^2.0.3", "string_decoder": "^1.1.1", "util-deprecate": "^1.0.1" } }, "sha512-9u/sniCrY3D5WdsERHzHE4G2YCXqoG5FTHUiCC4SIbr6XcLZBY05ya9EKjYek9O5xOAwjGq+1JdGBAS7Q9ScoA=="],
+
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    "redent": ["redent@3.0.0", "", { "dependencies": { "indent-string": "^4.0.0", "strip-indent": "^3.0.0" } }, "sha512-6tDA8g98We0zd0GvVeMT9arEOnTw9qM03L9cJXaCjrip1OO764RDBLBfrB4cwzNGDj5OA5ioymC9GkizgWJDUg=="],
@@ -1711,6 +1778,8 @@

    "regjsparser": ["regjsparser@0.12.0", "", { "dependencies": { "jsesc": "~3.0.2" }, "bin": { "regjsparser": "bin/parser" } }, "sha512-cnE+y8bz4NhMjISKbgeVJtqNbtf5QpjZP+Bslo+UqkIt9QPnX9q095eiRRASJG1/tz6dlNr6Z5NsBiWYokp6EQ=="],

+    "require-directory": ["require-directory@2.1.1", "", {}, "sha512-fGxEI7+wsG9xrvdjsrlmL22OMTTiHRwAMroiEeMgq8gzoLC/PQr7RsRDSTLUg/bZAZtF+TVIkHc6/4RIKrui+Q=="],
+
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@@ -1743,6 +1812,8 @@

    "safe-regex-test": ["safe-regex-test@1.1.0", "", { "dependencies": { "call-bound": "^1.0.2", "es-errors": "^1.3.0", "is-regex": "^1.2.1" } }, "sha512-x/+Cz4YrimQxQccJf5mKEbIa1NzeCRNI5Ecl/ekmlYaampdNLPalVyIcCZNNH3MvmqBugV5TMYZXv0ljslUlaw=="],

+    "safe-stable-stringify": ["safe-stable-stringify@2.5.0", "", {}, "sha512-b3rppTKm9T+PsVCBEOUR46GWI7fdOs00VKZ1+9c1EWDaDMvjQc6tUwuFyIprgGgTcWoVHSKrU8H31ZHA2e0RHA=="],
+
    "safer-buffer": ["safer-buffer@2.1.2", "", {}, "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="],

    "saxes": ["saxes@6.0.0", "", { "dependencies": { "xmlchars": "^2.2.0" } }, "sha512-xAg7SOnEhrm5zI3puOOKyy1OMcMlIJZYNJY7xLBwSze0UjhPLnWfj2GF2EpT0jmzaJKIWKHLsaSSajf35bcYnA=="],
@@ -1811,6 +1882,8 @@

    "split-string": ["split-string@3.1.0", "", { "dependencies": { "extend-shallow": "^3.0.0" } }, "sha512-NzNVhJDYpwceVVii8/Hu6DKfD2G+NrQHlS/V/qgv763EYudVwEcMQNxd2lh+0VrUByXN/oJkl5grOhYWvQUYiw=="],

+    "stack-trace": ["stack-trace@0.0.10", "", {}, "sha512-KGzahc7puUKkzyMt+IqAep+TVNbKP+k2Lmwhub39m1AsTSkaDutx56aDCo+HLDzf/D26BIHTJWNiTG1KAJiQCg=="],
+
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    "stacktracey": ["stacktracey@2.1.8", "", { "dependencies": { "as-table": "^1.0.36", "get-source": "^2.0.12" } }, "sha512-Kpij9riA+UNg7TnphqjH7/CzctQ/owJGNbFkfEeve4Z4uxT5+JapVLFXcsurIfN34gnTWZNJ/f7NMG0E8JDzTw=="],
@@ -1821,7 +1894,7 @@

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-    "string-width": ["string-width@5.1.2", "", { "dependencies": { "eastasianwidth": "^0.2.0", "emoji-regex": "^9.2.2", "strip-ansi": "^7.0.1" } }, "sha512-HnLOCR3vjcY8beoNLtcjZ5/nxn2afmME6lhrDrebokqMap+XbeW8n9TXpPDOqdGK5qcI3oT0GKTW6wC7EMiVqA=="],
+    "string-width": ["string-width@4.2.3", "", { "dependencies": { "emoji-regex": "^8.0.0", "is-fullwidth-code-point": "^3.0.0", "strip-ansi": "^6.0.1" } }, "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g=="],

    "string-width-cjs": ["string-width@4.2.3", "", { "dependencies": { "emoji-regex": "^8.0.0", "is-fullwidth-code-point": "^3.0.0", "strip-ansi": "^6.0.1" } }, "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g=="],

@@ -1833,6 +1906,8 @@

    "string.prototype.trimstart": ["string.prototype.trimstart@1.0.8", "", { "dependencies": { "call-bind": "^1.0.7", "define-properties": "^1.2.1", "es-object-atoms": "^1.0.0" } }, "sha512-UXSH262CSZY1tfu3G3Secr6uGLCFVPMhIqHjlgCUtCCcgihYc/xKs9djMTMUOb2j1mVSeU8EU6NWc/iQKU6Gfg=="],

+    "string_decoder": ["string_decoder@1.3.0", "", { "dependencies": { "safe-buffer": "~5.2.0" } }, "sha512-hkRX8U1WjJFd8LsDJ2yQ/wWWxaopEsABU1XfkM8A+j0+85JAGppt16cr1Whg6KIbb4okU6Mql6BOj+uup/wKeA=="],
+
    "stringify-entities": ["stringify-entities@4.0.4", "", { "dependencies": { "character-entities-html4": "^2.0.0", "character-entities-legacy": "^3.0.0" } }, "sha512-IwfBptatlO+QCJUo19AqvrPNqlVMpW9YEL2LIVY+Rpv2qsjCGxaDLNRgeGsQWJhfItebuJhsGSLjaBbNSQ+ieg=="],

    "stringify-object": ["stringify-object@3.3.0", "", { "dependencies": { "get-own-enumerable-property-symbols": "^3.0.0", "is-obj": "^1.0.1", "is-regexp": "^1.0.0" } }, "sha512-rHqiFh1elqCQ9WPLIC8I0Q/g/wj5J1eMkyoiD6eoQApWHP0FtlK7rqnhmabL5VUY9JQCcqwwvlOaSuutekgyrw=="],
@@ -1869,6 +1944,8 @@

    "test-exclude": ["test-exclude@7.0.1", "", { "dependencies": { "@istanbuljs/schema": "^0.1.2", "glob": "^10.4.1", "minimatch": "^9.0.4" } }, "sha512-pFYqmTw68LXVjeWJMST4+borgQP2AyMNbg1BpZh9LbyhUeNkeaPF9gzfPGUAnSMV3qPYdWUwDIjjCLiSDOl7vg=="],

+    "text-hex": ["text-hex@1.0.0", "", {}, "sha512-uuVGNWzgJ4yhRaNSiubPY7OjISw4sw4E5Uv0wbjp+OzcbmVU/rsT8ujgcXJhn9ypzsgr5vlzpPqP+MBBKcGvbg=="],
+
    "text-table": ["text-table@0.2.0", "", {}, "sha512-N+8UisAXDGk8PFXP4HAzVR9nbfmVJ3zYLAWiTIoqC5v5isinhr+r5uaO8+7r3BMfuNIufIsA7RdpVgacC2cSpw=="],

    "tinybench": ["tinybench@2.9.0", "", {}, "sha512-0+DUvqWMValLmha6lr4kD8iAMK1HzV0/aKnCtWb9v9641TnP/MFb7Pc2bxoxQjTXAErryXVgUOfv2YqNllqGeg=="],
@@ -1903,6 +1980,8 @@

    "trim-lines": ["trim-lines@3.0.1", "", {}, "sha512-kRj8B+YHZCc9kQYdWfJB2/oUl9rA99qbowYYBtr4ui4mZyAQ2JpvVBd/6U2YloATfqBhBTSMhTpgBHtU0Mf3Rg=="],

+    "triple-beam": ["triple-beam@1.4.1", "", {}, "sha512-aZbgViZrg1QNcG+LULa7nhZpJTZSLm/mXnHXnbAbjmN5aSa0y7V+wvv6+4WaBtpISJzThKy+PIPxc1Nq1EJ9mg=="],
+
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    "tsconfig-paths": ["tsconfig-paths@3.15.0", "", { "dependencies": { "@types/json5": "^0.0.29", "json5": "^1.0.2", "minimist": "^1.2.6", "strip-bom": "^3.0.0" } }, "sha512-2Ac2RgzDe/cn48GvOe3M+o82pEFewD3UPbyoUHHdKasHwJKjds4fLXWf/Ux5kATBKN20oaFGu+jbElp1pos0mg=="],
@@ -1985,6 +2064,8 @@

    "use-sync-external-store": ["use-sync-external-store@1.5.0", "", { "peerDependencies": { "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0" } }, "sha512-Rb46I4cGGVBmjamjphe8L/UnvJD+uPPtTkNvX5mZgqdbavhI4EbgIWJiIHXJ8bc/i9EQGPRh4DwEURJ552Do0A=="],

+    "util-deprecate": ["util-deprecate@1.0.2", "", {}, "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw=="],
+
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@@ -2023,6 +2104,10 @@

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+    "winston": ["winston@3.17.0", "", { "dependencies": { "@colors/colors": "^1.6.0", "@dabh/diagnostics": "^2.0.2", "async": "^3.2.3", "is-stream": "^2.0.0", "logform": "^2.7.0", "one-time": "^1.0.0", "readable-stream": "^3.4.0", "safe-stable-stringify": "^2.3.1", "stack-trace": "0.0.x", "triple-beam": "^1.3.0", "winston-transport": "^4.9.0" } }, "sha512-DLiFIXYC5fMPxaRg832S6F5mJYvePtmO5G9v9IgUFPhXm9/GkXarH/TUrBAVzhTCzAj9anE/+GjrgXp/54nOgw=="],
+
+    "winston-transport": ["winston-transport@4.9.0", "", { "dependencies": { "logform": "^2.7.0", "readable-stream": "^3.6.2", "triple-beam": "^1.3.0" } }, "sha512-8drMJ4rkgaPo1Me4zD/3WLfI/zPdA9o2IipKODunnGDcuqbHwjsbB79ylv04LCGGzU0xQ6vTznOMpQGaLhhm6A=="],
+
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@@ -2061,7 +2146,7 @@

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@@ -2073,10 +2158,16 @@

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+    "y18n": ["y18n@5.0.8", "", {}, "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA=="],
+
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+    "yargs": ["yargs@17.7.2", "", { "dependencies": { "cliui": "^8.0.1", "escalade": "^3.1.1", "get-caller-file": "^2.0.5", "require-directory": "^2.1.1", "string-width": "^4.2.3", "y18n": "^5.0.5", "yargs-parser": "^21.1.1" } }, "sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w=="],
+
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+
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@@ -2095,6 +2186,8 @@

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+
    "@babel/helper-create-class-features-plugin/@babel/traverse": ["@babel/traverse@7.27.3", "", { "dependencies": { "@babel/code-frame": "^7.27.1", "@babel/generator": "^7.27.3", "@babel/parser": "^7.27.3", "@babel/template": "^7.27.2", "@babel/types": "^7.27.3", "debug": "^4.3.1", "globals": "^11.1.0" } }, "sha512-lId/IfN/Ye1CIu8xG7oKBHXd2iNb2aW1ilPszzGcJug6M8RCKfVNcYhpI5+bMvFYjK7lXIM0R+a+6r8xhHp2FQ=="],

    "@babel/helper-define-polyfill-provider/@babel/helper-compilation-targets": ["@babel/helper-compilation-targets@7.27.2", "", { "dependencies": { "@babel/compat-data": "^7.27.2", "@babel/helper-validator-option": "^7.27.1", "browserslist": "^4.24.0", "lru-cache": "^5.1.1", "semver": "^6.3.1" } }, "sha512-2+1thGUUWWjLTYTHZWK1n8Yga0ijBz1XAhUXcKy81rd5g6yh7hGqMp45v7cadSbEHc9G3OTv45SyneRN3ps4DQ=="],
@@ -2295,15 +2388,21 @@

    "@eslint/eslintrc/ignore": ["ignore@5.3.2", "", {}, "sha512-hsBTNUqQTDwkWtcdYI2i06Y/nUBEsNEDJKjWdigLvegy8kDuJAS8uRlpkkcQpyEXL0Z/pjDy5HBmMjRCJ2gq+g=="],

+    "@isaacs/cliui/string-width": ["string-width@5.1.2", "", { "dependencies": { "eastasianwidth": "^0.2.0", "emoji-regex": "^9.2.2", "strip-ansi": "^7.0.1" } }, "sha512-HnLOCR3vjcY8beoNLtcjZ5/nxn2afmME6lhrDrebokqMap+XbeW8n9TXpPDOqdGK5qcI3oT0GKTW6wC7EMiVqA=="],
+
    "@isaacs/cliui/strip-ansi": ["strip-ansi@7.1.0", "", { "dependencies": { "ansi-regex": "^6.0.1" } }, "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ=="],

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+    "@isaacs/cliui/wrap-ansi": ["wrap-ansi@8.1.0", "", { "dependencies": { "ansi-styles": "^6.1.0", "string-width": "^5.0.1", "strip-ansi": "^7.0.1" } }, "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ=="],
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+    "@open-gsio/client/@types/bun": ["@types/bun@1.2.19", "", { "dependencies": { "bun-types": "1.2.19" } }, "sha512-d9ZCmrH3CJ2uYKXQIUuZ/pUnTqIvLDS0SK7pFmbx8ma+ziH/FRMoAq5bYpRG7y+w1gl+HgyNZbtqgMq4W4e2Lg=="],

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-    "@open-gsio/coordinators/@types/bun": ["@types/bun@1.2.18", "", { "dependencies": { "bun-types": "1.2.18" } }, "sha512-Xf6RaWVheyemaThV0kUfaAUvCNokFr+bH8Jxp+tTZfx7dAPA8z9ePnP9S9+Vspzuxxx9JRAXhnyccRj3GyCMdQ=="],
+    "@open-gsio/coordinators/@types/bun": ["@types/bun@1.2.19", "", { "dependencies": { "bun-types": "1.2.19" } }, "sha512-d9ZCmrH3CJ2uYKXQIUuZ/pUnTqIvLDS0SK7pFmbx8ma+ziH/FRMoAq5bYpRG7y+w1gl+HgyNZbtqgMq4W4e2Lg=="],

-    "@open-gsio/scripts/@types/bun": ["@types/bun@1.2.18", "", { "dependencies": { "bun-types": "1.2.18" } }, "sha512-Xf6RaWVheyemaThV0kUfaAUvCNokFr+bH8Jxp+tTZfx7dAPA8z9ePnP9S9+Vspzuxxx9JRAXhnyccRj3GyCMdQ=="],
+    "@open-gsio/scripts/@types/bun": ["@types/bun@1.2.19", "", { "dependencies": { "bun-types": "1.2.19" } }, "sha512-d9ZCmrH3CJ2uYKXQIUuZ/pUnTqIvLDS0SK7pFmbx8ma+ziH/FRMoAq5bYpRG7y+w1gl+HgyNZbtqgMq4W4e2Lg=="],
+
+    "@open-gsio/server/@types/bun": ["@types/bun@1.2.19", "", { "dependencies": { "bun-types": "1.2.19" } }, "sha512-d9ZCmrH3CJ2uYKXQIUuZ/pUnTqIvLDS0SK7pFmbx8ma+ziH/FRMoAq5bYpRG7y+w1gl+HgyNZbtqgMq4W4e2Lg=="],

    "@open-gsio/server/vite": ["vite@7.0.0", "", { "dependencies": { "esbuild": "^0.25.0", "fdir": "^6.4.6", "picomatch": "^4.0.2", "postcss": "^8.5.6", "rollup": "^4.40.0", "tinyglobby": "^0.2.14" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^20.19.0 || >=22.12.0", "jiti": ">=1.21.0", "less": "^4.0.0", "lightningcss": "^1.21.0", "sass": "^1.70.0", "sass-embedded": "^1.70.0", "stylus": ">=0.54.8", "sugarss": "^5.0.0", "terser": "^5.16.0", "tsx": "^4.8.1", "yaml": "^2.4.2" }, "optionalPeers": ["@types/node", "jiti", "less", "lightningcss", "sass", "sass-embedded", "stylus", "sugarss", "terser", "tsx", "yaml"], "bin": { "vite": "bin/vite.js" } }, "sha512-ixXJB1YRgDIw2OszKQS9WxGHKwLdCsbQNkpJN171udl6szi/rIySHL6/Os3s2+oE4P/FLD4dxg4mD7Wust+u5g=="],

@@ -2333,6 +2432,8 @@

    "babel-plugin-polyfill-corejs2/@babel/compat-data": ["@babel/compat-data@7.27.3", "", {}, "sha512-V42wFfx1ymFte+ecf6iXghnnP8kWTO+ZLXIyZq+1LAXHHvTZdVxicn4yiVYdYMGaCO3tmqub11AorKkv+iodqw=="],

+    "colorspace/color": ["color@3.2.1", "", { "dependencies": { "color-convert": "^1.9.3", "color-string": "^1.6.0" } }, "sha512-aBl7dZI9ENN6fUGC7mWpMTPNHmWUSNan9tuWN6ahh5ZLNk9baLJOnSMlrQkHcrfFgz2/RigjUVAjdx36VcemKA=="],
+
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    "data-urls/whatwg-mimetype": ["whatwg-mimetype@4.0.0", "", {}, "sha512-QaKxh0eNIi2mE9p2vEdzfagOKHCcj1pJ56EEHGQOVxp8r9/iszLUUV7v89x9O1p/T+NlTM5W7jW6+cz4Fq1YVg=="],
@@ -2401,10 +2502,6 @@

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-
-    "string-width-cjs/emoji-regex": ["emoji-regex@8.0.0", "", {}, "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="],
-
    "tempy/type-fest": ["type-fest@0.16.0", "", {}, "sha512-eaBzG6MxNzEn9kiwvtre90cXaNLkmadMWa1zQMs3XORCXNbsH/OewwbxC5ia9dCxIxnTAsSxXJaa/p5y8DlvJg=="],

    "terser/acorn": ["acorn@8.14.1", "", { "bin": { "acorn": "bin/acorn" } }, "sha512-OvQ/2pUDKmgfCg++xsTX1wGxfTaszcHVcTctW4UJB4hibJx2HXxxO5UmVgyjMa+ZDsiaf5wWLXYpRWMmBI0QHg=="],
@@ -2431,12 +2528,6 @@

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-    "wrap-ansi/ansi-styles": ["ansi-styles@6.2.1", "", {}, "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug=="],
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-    "wrap-ansi/strip-ansi": ["strip-ansi@7.1.0", "", { "dependencies": { "ansi-regex": "^6.0.1" } }, "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ=="],
-
-    "wrap-ansi-cjs/string-width": ["string-width@4.2.3", "", { "dependencies": { "emoji-regex": "^8.0.0", "is-fullwidth-code-point": "^3.0.0", "strip-ansi": "^6.0.1" } }, "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g=="],
-
    "@apideck/better-ajv-errors/ajv/json-schema-traverse": ["json-schema-traverse@1.0.0", "", {}, "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug=="],

    "@babel/core/@babel/code-frame/@babel/helper-validator-identifier": ["@babel/helper-validator-identifier@7.25.9", "", {}, "sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ=="],
@@ -2457,6 +2548,8 @@

    "@babel/helper-define-polyfill-provider/@babel/helper-compilation-targets/@babel/helper-validator-option": ["@babel/helper-validator-option@7.27.1", "", {}, "sha512-YvjJow9FxbhFFKDSuFnVCe2WxXk1zWc22fFePVNEaWJEu8IrZVlda6N0uHwzZrUM1il7NC9Mlp4MaJYbYd9JSg=="],

+    "@babel/helper-define-polyfill-provider/@babel/helper-compilation-targets/lru-cache": ["lru-cache@5.1.1", "", { "dependencies": { "yallist": "^3.0.2" } }, "sha512-KpNARQA3Iwv+jTA0utUVVbrh+Jlrr1Fv0e56GGzAFOXN7dk/FviaDW8LHmK52DlcH4WP2n6gI8vN1aesBFgo9w=="],
+
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    "@babel/helper-member-expression-to-functions/@babel/traverse/@babel/parser": ["@babel/parser@7.27.3", "", { "dependencies": { "@babel/types": "^7.27.3" }, "bin": "./bin/babel-parser.js" }, "sha512-xyYxRj6+tLNDTWi0KCBcZ9V7yg3/lwL9DWh9Uwh/RIVlIfFidggcgxKX3GCXwCiswwcGRawBKbEg2LG/Y8eJhw=="],
@@ -2547,6 +2640,8 @@

    "@babel/plugin-transform-classes/@babel/helper-compilation-targets/@babel/helper-validator-option": ["@babel/helper-validator-option@7.27.1", "", {}, "sha512-YvjJow9FxbhFFKDSuFnVCe2WxXk1zWc22fFePVNEaWJEu8IrZVlda6N0uHwzZrUM1il7NC9Mlp4MaJYbYd9JSg=="],

+    "@babel/plugin-transform-classes/@babel/helper-compilation-targets/lru-cache": ["lru-cache@5.1.1", "", { "dependencies": { "yallist": "^3.0.2" } }, "sha512-KpNARQA3Iwv+jTA0utUVVbrh+Jlrr1Fv0e56GGzAFOXN7dk/FviaDW8LHmK52DlcH4WP2n6gI8vN1aesBFgo9w=="],
+
    "@babel/plugin-transform-classes/@babel/traverse/@babel/generator": ["@babel/generator@7.27.3", "", { "dependencies": { "@babel/parser": "^7.27.3", "@babel/types": "^7.27.3", "@jridgewell/gen-mapping": "^0.3.5", "@jridgewell/trace-mapping": "^0.3.25", "jsesc": "^3.0.2" } }, "sha512-xnlJYj5zepml8NXtjkG0WquFUv8RskFqyFcVgTBp5k+NaA/8uw/K+OSVf8AMGw5e9HKP2ETd5xpK5MLZQD6b4Q=="],

    "@babel/plugin-transform-classes/@babel/traverse/@babel/parser": ["@babel/parser@7.27.3", "", { "dependencies": { "@babel/types": "^7.27.3" }, "bin": "./bin/babel-parser.js" }, "sha512-xyYxRj6+tLNDTWi0KCBcZ9V7yg3/lwL9DWh9Uwh/RIVlIfFidggcgxKX3GCXwCiswwcGRawBKbEg2LG/Y8eJhw=="],
@@ -2563,6 +2658,8 @@

    "@babel/plugin-transform-function-name/@babel/helper-compilation-targets/@babel/helper-validator-option": ["@babel/helper-validator-option@7.27.1", "", {}, "sha512-YvjJow9FxbhFFKDSuFnVCe2WxXk1zWc22fFePVNEaWJEu8IrZVlda6N0uHwzZrUM1il7NC9Mlp4MaJYbYd9JSg=="],

+    "@babel/plugin-transform-function-name/@babel/helper-compilation-targets/lru-cache": ["lru-cache@5.1.1", "", { "dependencies": { "yallist": "^3.0.2" } }, "sha512-KpNARQA3Iwv+jTA0utUVVbrh+Jlrr1Fv0e56GGzAFOXN7dk/FviaDW8LHmK52DlcH4WP2n6gI8vN1aesBFgo9w=="],
+
    "@babel/plugin-transform-function-name/@babel/traverse/@babel/generator": ["@babel/generator@7.27.3", "", { "dependencies": { "@babel/parser": "^7.27.3", "@babel/types": "^7.27.3", "@jridgewell/gen-mapping": "^0.3.5", "@jridgewell/trace-mapping": "^0.3.25", "jsesc": "^3.0.2" } }, "sha512-xnlJYj5zepml8NXtjkG0WquFUv8RskFqyFcVgTBp5k+NaA/8uw/K+OSVf8AMGw5e9HKP2ETd5xpK5MLZQD6b4Q=="],

    "@babel/plugin-transform-function-name/@babel/traverse/@babel/parser": ["@babel/parser@7.27.3", "", { "dependencies": { "@babel/types": "^7.27.3" }, "bin": "./bin/babel-parser.js" }, "sha512-xyYxRj6+tLNDTWi0KCBcZ9V7yg3/lwL9DWh9Uwh/RIVlIfFidggcgxKX3GCXwCiswwcGRawBKbEg2LG/Y8eJhw=="],
@@ -2601,13 +2698,21 @@

    "@babel/plugin-transform-object-rest-spread/@babel/helper-compilation-targets/@babel/helper-validator-option": ["@babel/helper-validator-option@7.27.1", "", {}, "sha512-YvjJow9FxbhFFKDSuFnVCe2WxXk1zWc22fFePVNEaWJEu8IrZVlda6N0uHwzZrUM1il7NC9Mlp4MaJYbYd9JSg=="],

+    "@babel/plugin-transform-object-rest-spread/@babel/helper-compilation-targets/lru-cache": ["lru-cache@5.1.1", "", { "dependencies": { "yallist": "^3.0.2" } }, "sha512-KpNARQA3Iwv+jTA0utUVVbrh+Jlrr1Fv0e56GGzAFOXN7dk/FviaDW8LHmK52DlcH4WP2n6gI8vN1aesBFgo9w=="],
+
+    "@babel/preset-env/@babel/helper-compilation-targets/lru-cache": ["lru-cache@5.1.1", "", { "dependencies": { "yallist": "^3.0.2" } }, "sha512-KpNARQA3Iwv+jTA0utUVVbrh+Jlrr1Fv0e56GGzAFOXN7dk/FviaDW8LHmK52DlcH4WP2n6gI8vN1aesBFgo9w=="],
+
    "@babel/template/@babel/code-frame/@babel/helper-validator-identifier": ["@babel/helper-validator-identifier@7.25.9", "", {}, "sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ=="],

    "@babel/traverse/@babel/code-frame/@babel/helper-validator-identifier": ["@babel/helper-validator-identifier@7.25.9", "", {}, "sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ=="],

+    "@isaacs/cliui/string-width/emoji-regex": ["emoji-regex@9.2.2", "", {}, "sha512-L18DaJsXSUk2+42pv8mLs5jJT2hqFkFE4j21wOmgbUqsZ2hL72NsUU785g9RXgo3s0ZNgVl42TiHp3ZtOv/Vyg=="],
+
    "@isaacs/cliui/strip-ansi/ansi-regex": ["ansi-regex@6.1.0", "", {}, "sha512-7HSX4QQb4CspciLpVFwyRe79O3xsIZDDLER21kERQ71oaPodF8jL725AgJMFAYbooIqolJoRLuM81SpeUkpkvA=="],

-    "@open-gsio/client/@types/bun/bun-types": ["bun-types@1.2.18", "", { "dependencies": { "@types/node": "*" }, "peerDependencies": { "@types/react": "^19" } }, "sha512-04+Eha5NP7Z0A9YgDAzMk5PHR16ZuLVa83b26kH5+cp1qZW4F6FmAURngE7INf4tKOvCE69vYvDEwoNl1tGiWw=="],
+    "@isaacs/cliui/wrap-ansi/ansi-styles": ["ansi-styles@6.2.1", "", {}, "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug=="],
+
+    "@open-gsio/client/@types/bun/bun-types": ["bun-types@1.2.19", "", { "dependencies": { "@types/node": "*" }, "peerDependencies": { "@types/react": "^19" } }, "sha512-uAOTaZSPuYsWIXRpj7o56Let0g/wjihKCkeRqUBhlLVM/Bt+Fj9xTo+LhC1OV1XDaGkz4hNC80et5xgy+9KTHQ=="],

    "@open-gsio/client/vite/fdir": ["fdir@6.4.6", "", { "peerDependencies": { "picomatch": "^3 || ^4" }, "optionalPeers": ["picomatch"] }, "sha512-hiFoqpyZcfNm1yc4u8oWCf9A2c4D3QjCrks3zmoVKVxpQRzmPNar1hUJcBG2RQHvEVGDN+Jm81ZheVLAQMK6+w=="],

@@ -2615,9 +2720,11 @@

    "@open-gsio/client/vite/rollup": ["rollup@4.44.0", "", { "dependencies": { "@types/estree": "1.0.8" }, "optionalDependencies": { "@rollup/rollup-android-arm-eabi": "4.44.0", "@rollup/rollup-android-arm64": "4.44.0", "@rollup/rollup-darwin-arm64": "4.44.0", "@rollup/rollup-darwin-x64": "4.44.0", "@rollup/rollup-freebsd-arm64": "4.44.0", "@rollup/rollup-freebsd-x64": "4.44.0", "@rollup/rollup-linux-arm-gnueabihf": "4.44.0", "@rollup/rollup-linux-arm-musleabihf": "4.44.0", "@rollup/rollup-linux-arm64-gnu": "4.44.0", "@rollup/rollup-linux-arm64-musl": "4.44.0", "@rollup/rollup-linux-loongarch64-gnu": "4.44.0", "@rollup/rollup-linux-powerpc64le-gnu": "4.44.0", "@rollup/rollup-linux-riscv64-gnu": "4.44.0", "@rollup/rollup-linux-riscv64-musl": "4.44.0", "@rollup/rollup-linux-s390x-gnu": "4.44.0", "@rollup/rollup-linux-x64-gnu": "4.44.0", "@rollup/rollup-linux-x64-musl": "4.44.0", "@rollup/rollup-win32-arm64-msvc": "4.44.0", "@rollup/rollup-win32-ia32-msvc": "4.44.0", "@rollup/rollup-win32-x64-msvc": "4.44.0", "fsevents": "~2.3.2" }, "bin": { "rollup": "dist/bin/rollup" } }, "sha512-qHcdEzLCiktQIfwBq420pn2dP+30uzqYxv9ETm91wdt2R9AFcWfjNAmje4NWlnCIQ5RMTzVf0ZyisOKqHR6RwA=="],

-    "@open-gsio/coordinators/@types/bun/bun-types": ["bun-types@1.2.18", "", { "dependencies": { "@types/node": "*" }, "peerDependencies": { "@types/react": "^19" } }, "sha512-04+Eha5NP7Z0A9YgDAzMk5PHR16ZuLVa83b26kH5+cp1qZW4F6FmAURngE7INf4tKOvCE69vYvDEwoNl1tGiWw=="],
+    "@open-gsio/coordinators/@types/bun/bun-types": ["bun-types@1.2.19", "", { "dependencies": { "@types/node": "*" }, "peerDependencies": { "@types/react": "^19" } }, "sha512-uAOTaZSPuYsWIXRpj7o56Let0g/wjihKCkeRqUBhlLVM/Bt+Fj9xTo+LhC1OV1XDaGkz4hNC80et5xgy+9KTHQ=="],

-    "@open-gsio/scripts/@types/bun/bun-types": ["bun-types@1.2.18", "", { "dependencies": { "@types/node": "*" }, "peerDependencies": { "@types/react": "^19" } }, "sha512-04+Eha5NP7Z0A9YgDAzMk5PHR16ZuLVa83b26kH5+cp1qZW4F6FmAURngE7INf4tKOvCE69vYvDEwoNl1tGiWw=="],
+    "@open-gsio/scripts/@types/bun/bun-types": ["bun-types@1.2.19", "", { "dependencies": { "@types/node": "*" }, "peerDependencies": { "@types/react": "^19" } }, "sha512-uAOTaZSPuYsWIXRpj7o56Let0g/wjihKCkeRqUBhlLVM/Bt+Fj9xTo+LhC1OV1XDaGkz4hNC80et5xgy+9KTHQ=="],
+
+    "@open-gsio/server/@types/bun/bun-types": ["bun-types@1.2.19", "", { "dependencies": { "@types/node": "*" }, "peerDependencies": { "@types/react": "^19" } }, "sha512-uAOTaZSPuYsWIXRpj7o56Let0g/wjihKCkeRqUBhlLVM/Bt+Fj9xTo+LhC1OV1XDaGkz4hNC80et5xgy+9KTHQ=="],

    "@open-gsio/server/vite/fdir": ["fdir@6.4.6", "", { "peerDependencies": { "picomatch": "^3 || ^4" }, "optionalPeers": ["picomatch"] }, "sha512-hiFoqpyZcfNm1yc4u8oWCf9A2c4D3QjCrks3zmoVKVxpQRzmPNar1hUJcBG2RQHvEVGDN+Jm81ZheVLAQMK6+w=="],

@@ -2643,6 +2750,8 @@

    "@typescript-eslint/typescript-estree/minimatch/brace-expansion": ["brace-expansion@2.0.1", "", { "dependencies": { "balanced-match": "^1.0.0" } }, "sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA=="],

+    "colorspace/color/color-convert": ["color-convert@1.9.3", "", { "dependencies": { "color-name": "1.1.3" } }, "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg=="],
+
    "filelist/minimatch/brace-expansion": ["brace-expansion@2.0.1", "", { "dependencies": { "balanced-match": "^1.0.0" } }, "sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA=="],

    "glob/minimatch/brace-expansion": ["brace-expansion@2.0.1", "", { "dependencies": { "balanced-match": "^1.0.0" } }, "sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA=="],
@@ -2659,8 +2768,6 @@

    "split-string/extend-shallow/is-extendable": ["is-extendable@1.0.1", "", { "dependencies": { "is-plain-object": "^2.0.4" } }, "sha512-arnXMxT1hhoKo9k1LZdmlNyJdDDfy2v0fXjFlmok4+i8ul/6WlbVge9bhM74OpNPQPMGUToDtz+KXa1PneJxOA=="],

-    "string-width/strip-ansi/ansi-regex": ["ansi-regex@6.1.0", "", {}, "sha512-7HSX4QQb4CspciLpVFwyRe79O3xsIZDDLER21kERQ71oaPodF8jL725AgJMFAYbooIqolJoRLuM81SpeUkpkvA=="],
-
    "test-exclude/minimatch/brace-expansion": ["brace-expansion@2.0.1", "", { "dependencies": { "balanced-match": "^1.0.0" } }, "sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA=="],

    "vike/vite/fdir": ["fdir@6.4.6", "", { "peerDependencies": { "picomatch": "^3 || ^4" }, "optionalPeers": ["picomatch"] }, "sha512-hiFoqpyZcfNm1yc4u8oWCf9A2c4D3QjCrks3zmoVKVxpQRzmPNar1hUJcBG2RQHvEVGDN+Jm81ZheVLAQMK6+w=="],
@@ -2677,10 +2784,6 @@

    "workbox-build/source-map/whatwg-url": ["whatwg-url@7.1.0", "", { "dependencies": { "lodash.sortby": "^4.7.0", "tr46": "^1.0.1", "webidl-conversions": "^4.0.2" } }, "sha512-WUu7Rg1DroM7oQvGWfOiAK21n74Gg+T4elXEQYkOhtyLeWiJFoOGLXPKI/9gzIie9CtwVLm8wtw6YJdKyxSjeg=="],

-    "wrap-ansi-cjs/string-width/emoji-regex": ["emoji-regex@8.0.0", "", {}, "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="],
-
-    "wrap-ansi/strip-ansi/ansi-regex": ["ansi-regex@6.1.0", "", {}, "sha512-7HSX4QQb4CspciLpVFwyRe79O3xsIZDDLER21kERQ71oaPodF8jL725AgJMFAYbooIqolJoRLuM81SpeUkpkvA=="],
-
    "@babel/helper-create-class-features-plugin/@babel/traverse/@babel/types/@babel/helper-string-parser": ["@babel/helper-string-parser@7.27.1", "", {}, "sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA=="],

    "@babel/helper-remap-async-to-generator/@babel/traverse/@babel/types/@babel/helper-string-parser": ["@babel/helper-string-parser@7.27.1", "", {}, "sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA=="],
@@ -2875,6 +2978,8 @@

    "@open-gsio/services/vite/rollup/@types/estree": ["@types/estree@1.0.8", "", {}, "sha512-dWHzHa2WqEXI/O1E9OjrocMTKJl2mSrEolh1Iomrv6U+JuNwaHXsXx9bLu5gG7BUWFIN0skIQJQ/L1rIex4X6w=="],

+    "colorspace/color/color-convert/color-name": ["color-name@1.1.3", "", {}, "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw=="],
+
    "vike/vite/rollup/@rollup/rollup-android-arm-eabi": ["@rollup/rollup-android-arm-eabi@4.44.0", "", { "os": "android", "cpu": "arm" }, "sha512-xEiEE5oDW6tK4jXCAyliuntGR+amEMO7HLtdSshVuhFnKTYoeYMyXQK7pLouAJJj5KHdwdn87bfHAR2nSdNAUA=="],

    "vike/vite/rollup/@rollup/rollup-android-arm64": ["@rollup/rollup-android-arm64@4.44.0", "", { "os": "android", "cpu": "arm64" }, "sha512-uNSk/TgvMbskcHxXYHzqwiyBlJ/lGcv8DaUfcnNwict8ba9GTTNxfn3/FAoFZYgkaXXAdrAA+SLyKplyi349Jw=="],
--- a/crates/yachtpit
+++ b/crates/yachtpit
--- a/package.json
+++ b/package.json
@@ -10,7 +10,6 @@
  ],
  "scripts": {
    "clean": "packages/scripts/cleanup.sh",
-    "restore:submodules": "rm -rf crates/yachtpit && (git rm --cached crates/yachtpit) && git submodule add --force https://github.com/seemueller-io/yachtpit.git crates/yachtpit ",
    "test:all": "bun run --filter='*' tests",
    "client:dev": "(cd packages/client && bun run dev)",
    "server:dev": "bun build:client && (cd packages/server && bun run dev)",
--- a/packages/ai/package.json
+++ b/packages/ai/package.json
@@ -40,6 +40,7 @@
    "@open-gsio/env": "workspace:*",
    "@open-gsio/schema": "workspace:*",
    "@anthropic-ai/sdk": "^0.55.0",
+    "@zilliz/milvus2-sdk-node": "^2.6.0",
    "openai": "^5.0.1",
    "wrangler": "^4.18.0",
    "vitest": "^3.1.4",
--- a/packages/ai/src/providers/_ProviderRepository.ts
+++ b/packages/ai/src/providers/_ProviderRepository.ts
@@ -24,68 +24,10 @@ export class ProviderRepository {
  };

  static async getModelFamily(model: any, env: GenericEnv) {
-    // eslint-disable-next-line prettier/prettier
-    console.log(`[DEBUG_LOG] ProviderRepository.getModelFamily: Looking up model "${model}"`);
-
    const allModels = await env.KV_STORAGE.get('supportedModels');
    const models = JSON.parse(allModels);
-
-    // eslint-disable-next-line prettier/prettier
-    console.log(`[DEBUG_LOG] ProviderRepository.getModelFamily: Found ${models.length} total models in KV storage`);
-    // eslint-disable-next-line prettier/prettier
-    console.log('[DEBUG_LOG] ProviderRepository.getModelFamily: Available model IDs:', models.map((m: ModelMeta) => m.id));
-
-    // First try exact match
-    let modelData = models.filter((m: ModelMeta) => m.id === model);
-    // eslint-disable-next-line prettier/prettier
-    console.log(`[DEBUG_LOG] ProviderRepository.getModelFamily: Exact match attempt for "${model}" found ${modelData.length} results`);
-
-    // If no exact match, try to find by partial match (handle provider prefixes)
-    if (modelData.length === 0) {
-      // eslint-disable-next-line prettier/prettier
-      console.log(`[DEBUG_LOG] ProviderRepository.getModelFamily: Trying partial match for "${model}"`);
-      modelData = models.filter((m: ModelMeta) => {
-        // Check if the model ID ends with the requested model name
-        // This handles cases like "accounts/fireworks/models/mixtral-8x22b-instruct" matching "mixtral-8x22b-instruct"
-        const endsWithMatch = m.id.endsWith(model);
-        const modelEndsWithStoredBase = model.endsWith(m.id.split('/').pop() || '');
-        // eslint-disable-next-line prettier/prettier
-        console.log(`[DEBUG_LOG] ProviderRepository.getModelFamily: Checking "${m.id}" - endsWith: ${endsWithMatch}, modelEndsWithBase: ${modelEndsWithStoredBase}`);
-        return endsWithMatch || modelEndsWithStoredBase;
-      });
-      // eslint-disable-next-line prettier/prettier
-      console.log(`[DEBUG_LOG] ProviderRepository.getModelFamily: Partial match found ${modelData.length} results`);
-    }
-
-    // If still no match, try to find by the base model name (last part after /)
-    if (modelData.length === 0) {
-      const baseModelName = model.split('/').pop();
-      // eslint-disable-next-line prettier/prettier
-      console.log(`[DEBUG_LOG] ProviderRepository.getModelFamily: Trying base name match for "${baseModelName}"`);
-      modelData = models.filter((m: ModelMeta) => {
-        const baseStoredName = m.id.split('/').pop();
-        const matches = baseStoredName === baseModelName;
-        // eslint-disable-next-line prettier/prettier
-        console.log(`[DEBUG_LOG] ProviderRepository.getModelFamily: Comparing base names "${baseStoredName}" === "${baseModelName}": ${matches}`);
-        return matches;
-      });
-      // eslint-disable-next-line prettier/prettier
-      console.log(`[DEBUG_LOG] ProviderRepository.getModelFamily: Base name match found ${modelData.length} results`);
-    }
-
-    const selectedProvider = modelData[0]?.provider;
-    // eslint-disable-next-line prettier/prettier
-    console.log(`[DEBUG_LOG] ProviderRepository.getModelFamily: Final result for "${model}" -> provider: "${selectedProvider}"`);
-
-    if (modelData.length > 0) {
-      // eslint-disable-next-line prettier/prettier
-      console.log('[DEBUG_LOG] ProviderRepository.getModelFamily: Selected model data:', modelData[0]);
-    } else {
-      // eslint-disable-next-line prettier/prettier
-      console.log(`[DEBUG_LOG] ProviderRepository.getModelFamily: No matching model found for "${model}"`);
-    }
-
-    return selectedProvider;
+    const modelData = models.filter((m: ModelMeta) => m.id === model);
+    return modelData[0].provider;
  }

  static async getModelMeta(meta: any, env: GenericEnv) {
@@ -99,19 +41,12 @@ export class ProviderRepository {
  }

  setProviders(env: GenericEnv) {
-    // eslint-disable-next-line prettier/prettier
-    console.log('[DEBUG_LOG] ProviderRepository.setProviders: Starting provider detection');
-
    const indicies = {
      providerName: 0,
      providerValue: 1,
    };
    const valueDelimiter = '_';
    const envKeys = Object.keys(env);
-
-    // eslint-disable-next-line prettier/prettier
-    console.log('[DEBUG_LOG] ProviderRepository.setProviders: Environment keys ending with KEY:', envKeys.filter(key => key.endsWith('KEY')));
-
    for (let i = 0; i < envKeys.length; i++) {
      if (envKeys.at(i)?.endsWith('KEY')) {
        const detectedProvider = envKeys
@@ -120,15 +55,9 @@ export class ProviderRepository {
          .at(indicies.providerName)
          ?.toLowerCase();
        const detectedProviderValue = env[envKeys.at(i) as string];
-
-        // eslint-disable-next-line prettier/prettier
-        console.log(`[DEBUG_LOG] ProviderRepository.setProviders: Processing ${envKeys[i]} -> detected provider: "${detectedProvider}", has value: ${!!detectedProviderValue}`);
-
        if (detectedProviderValue) {
          switch (detectedProvider) {
            case 'anthropic':
-              // eslint-disable-next-line prettier/prettier
-              console.log('[DEBUG_LOG] ProviderRepository.setProviders: Adding Claude provider (anthropic)');
              this.#providers.push({
                name: 'claude',
                key: env.ANTHROPIC_API_KEY,
@@ -136,8 +65,6 @@ export class ProviderRepository {
              });
              break;
            case 'gemini':
-              // eslint-disable-next-line prettier/prettier
-              console.log('[DEBUG_LOG] ProviderRepository.setProviders: Adding Google provider (gemini)');
              this.#providers.push({
                name: 'google',
                key: env.GEMINI_API_KEY,
@@ -145,8 +72,6 @@ export class ProviderRepository {
              });
              break;
            case 'cloudflare':
-              // eslint-disable-next-line prettier/prettier
-              console.log('[DEBUG_LOG] ProviderRepository.setProviders: Adding Cloudflare provider');
              this.#providers.push({
                name: 'cloudflare',
                key: env.CLOUDFLARE_API_KEY,
@@ -157,8 +82,6 @@ export class ProviderRepository {
              });
              break;
            default:
-              // eslint-disable-next-line prettier/prettier
-              console.log(`[DEBUG_LOG] ProviderRepository.setProviders: Adding default provider "${detectedProvider}"`);
              this.#providers.push({
                name: detectedProvider as SupportedProvider,
                key: env[envKeys[i] as string],
@@ -166,14 +89,8 @@ export class ProviderRepository {
                  ProviderRepository.OPENAI_COMPAT_ENDPOINTS[detectedProvider as SupportedProvider],
              });
          }
-        } else {
-          // eslint-disable-next-line prettier/prettier
-          console.log(`[DEBUG_LOG] ProviderRepository.setProviders: Skipping ${envKeys[i]} - no value provided`);
        }
      }
    }
-
-    // eslint-disable-next-line prettier/prettier
-    console.log(`[DEBUG_LOG] ProviderRepository.setProviders: Final configured providers (${this.#providers.length}):`, this.#providers.map(p => ({ name: p.name, endpoint: p.endpoint, hasKey: !!p.key })));
  }
 }
--- a/packages/ai/src/providers/tests/chat-stream-provider.test.ts
+++ b/packages/ai/src/providers/tests/chat-stream-provider.test.ts
@@ -1,5 +1,5 @@
 import { OpenAI } from 'openai';
-import { describe, it, expect, vi } from 'vitest';
+import { describe, it, expect, vi, beforeEach } from 'vitest';

 import {
  BaseChatProvider,
@@ -29,7 +29,7 @@ class TestChatProvider extends BaseChatProvider {
 }

 // Mock dependencies
-vi.mock('../../lib/chat-sdk', () => ({
+vi.mock('../../chat-sdk/chat-sdk.ts', () => ({
  default: {
    buildAssistantPrompt: vi.fn().mockReturnValue('Assistant prompt'),
    buildMessageChain: vi.fn().mockReturnValue([
@@ -39,6 +39,26 @@ vi.mock('../../lib/chat-sdk', () => ({
  },
 }));

+vi.mock('../../tools/agentic-rag.ts', () => ({
+  agenticRAG: vi.fn(),
+  AgenticRAGTools: {
+    type: 'function',
+    function: {
+      name: 'agentic_rag',
+      description: 'Test agentic RAG tool',
+      parameters: {
+        type: 'object',
+        properties: {
+          action: { type: 'string', enum: ['search_knowledge'] },
+          query: { type: 'string' },
+          collection_name: { type: 'string' },
+        },
+        required: ['action', 'collection_name'],
+      },
+    },
+  },
+}));
+
 describe('ChatStreamProvider', () => {
  it('should define the required interface', () => {
    // Verify the interface has the required method
@@ -50,26 +70,616 @@ describe('ChatStreamProvider', () => {
  });
 });

-describe('BaseChatProvider', () => {
-  it('should implement the ChatStreamProvider interface', () => {
-    // Create a concrete implementation
-    const provider = new TestChatProvider();
+describe('BaseChatProvider - Model Tool Calling', () => {
+  let provider: TestChatProvider;
+  let mockOpenAI: any;
+  let dataCallback: any;
+  let commonParams: CommonProviderParams;

-    // Verify it implements the interface
+  beforeEach(() => {
+    vi.clearAllMocks();
+
+    provider = new TestChatProvider();
+    dataCallback = vi.fn();
+
+    mockOpenAI = {
+      chat: {
+        completions: {
+          create: vi.fn(),
+        },
+      },
+    };
+
+    commonParams = {
+      openai: mockOpenAI,
+      systemPrompt: 'Test system prompt',
+      preprocessedContext: {},
+      maxTokens: 1000,
+      messages: [{ role: 'user', content: 'Test message' }],
+      model: 'gpt-4',
+      env: {} as any,
+    };
+  });
+
+  it('should implement the ChatStreamProvider interface', () => {
    expect(provider.handleStream).toBeInstanceOf(Function);
    expect(provider.getOpenAIClient).toBeInstanceOf(Function);
    expect(provider.getStreamParams).toBeInstanceOf(Function);
    expect(provider.processChunk).toBeInstanceOf(Function);
  });

-  it('should have abstract methods that need to be implemented', () => {
-    // This test verifies that the abstract methods exist
-    // We can't instantiate BaseChatProvider directly, so we use the concrete implementation
-    const provider = new TestChatProvider();
+  it('should handle regular text streaming without tool calls', async () => {
+    // Mock stream chunks for regular text response
+    const chunks = [
+      {
+        choices: [
+          {
+            delta: { content: 'Hello ' },
+            finish_reason: null,
+          },
+        ],
+      },
+      {
+        choices: [
+          {
+            delta: { content: 'world!' },
+            finish_reason: null,
+          },
+        ],
+      },
+      {
+        choices: [
+          {
+            delta: {},
+            finish_reason: 'stop',
+          },
+        ],
+      },
+    ];

-    // Verify the abstract methods are implemented
-    expect(provider.getOpenAIClient).toBeDefined();
-    expect(provider.getStreamParams).toBeDefined();
-    expect(provider.processChunk).toBeDefined();
+    mockOpenAI.chat.completions.create.mockResolvedValue({
+      async *[Symbol.asyncIterator]() {
+        for (const chunk of chunks) {
+          yield chunk;
+        }
+      },
+    });
+
+    await provider.handleStream(commonParams, dataCallback);
+
+    expect(mockOpenAI.chat.completions.create).toHaveBeenCalledWith(
+      expect.objectContaining({
+        tools: expect.arrayContaining([
+          expect.objectContaining({
+            type: 'function',
+            function: expect.objectContaining({
+              name: 'agentic_rag',
+            }),
+          }),
+        ]),
+      }),
+    );
+  });
+
+  it('should handle tool calls in streaming response', async () => {
+    const { agenticRAG } = await import('../../tools/agentic-rag.ts');
+    vi.mocked(agenticRAG).mockResolvedValue({
+      success: true,
+      data: {
+        results: ['Test result'],
+        analysis: { needsRetrieval: false },
+      },
+    });
+
+    // Mock stream chunks for tool call response
+    const chunks = [
+      {
+        choices: [
+          {
+            delta: {
+              tool_calls: [
+                {
+                  index: 0,
+                  id: 'call_123',
+                  type: 'function',
+                  function: {
+                    name: 'agentic_rag',
+                    arguments:
+                      '{"action": "search_knowledge", "query": "test query", "collection_name": "test_collection"}',
+                  },
+                },
+              ],
+            },
+            finish_reason: null,
+          },
+        ],
+      },
+      {
+        choices: [
+          {
+            delta: {},
+            finish_reason: 'tool_calls',
+          },
+        ],
+      },
+    ];
+
+    // Second stream for response after tool execution
+    const secondStreamChunks = [
+      {
+        choices: [
+          {
+            delta: { content: 'Based on the search results: Test result' },
+            finish_reason: null,
+          },
+        ],
+      },
+      {
+        choices: [
+          {
+            delta: {},
+            finish_reason: 'stop',
+          },
+        ],
+      },
+    ];
+
+    let callCount = 0;
+    mockOpenAI.chat.completions.create.mockImplementation(() => {
+      callCount++;
+      if (callCount === 1) {
+        return Promise.resolve({
+          async *[Symbol.asyncIterator]() {
+            for (const chunk of chunks) {
+              yield chunk;
+            }
+          },
+        });
+      } else {
+        return Promise.resolve({
+          async *[Symbol.asyncIterator]() {
+            for (const chunk of secondStreamChunks) {
+              yield chunk;
+            }
+          },
+        });
+      }
+    });
+
+    await provider.handleStream(commonParams, dataCallback);
+
+    // Verify tool was called
+    expect(agenticRAG).toHaveBeenCalledWith({
+      action: 'search_knowledge',
+      query: 'test query',
+      collection_name: 'test_collection',
+    });
+
+    // Verify feedback messages were sent
+    expect(dataCallback).toHaveBeenCalledWith(
+      expect.objectContaining({
+        type: 'chat',
+        data: expect.objectContaining({
+          choices: expect.arrayContaining([
+            expect.objectContaining({
+              delta: expect.objectContaining({
+                content: expect.stringContaining('🔧 Invoking'),
+              }),
+            }),
+          ]),
+        }),
+      }),
+    );
+
+    expect(dataCallback).toHaveBeenCalledWith(
+      expect.objectContaining({
+        type: 'chat',
+        data: expect.objectContaining({
+          choices: expect.arrayContaining([
+            expect.objectContaining({
+              delta: expect.objectContaining({
+                content: expect.stringContaining('📞 Calling agentic_rag'),
+              }),
+            }),
+          ]),
+        }),
+      }),
+    );
+  });
+
+  it('should handle tool call streaming with incremental arguments', async () => {
+    const { agenticRAG } = await import('../../tools/agentic-rag.ts');
+    vi.mocked(agenticRAG).mockResolvedValue({
+      success: true,
+      data: { results: ['Test result'] },
+    });
+
+    // Mock stream chunks with incremental tool call arguments
+    const chunks = [
+      {
+        choices: [
+          {
+            delta: {
+              tool_calls: [
+                {
+                  index: 0,
+                  id: 'call_',
+                  type: 'function',
+                  function: { name: 'agentic_rag', arguments: '{"action": "search_' },
+                },
+              ],
+            },
+            finish_reason: null,
+          },
+        ],
+      },
+      {
+        choices: [
+          {
+            delta: {
+              tool_calls: [
+                {
+                  index: 0,
+                  id: '123',
+                  function: { arguments: 'knowledge", "query": "test", ' },
+                },
+              ],
+            },
+            finish_reason: null,
+          },
+        ],
+      },
+      {
+        choices: [
+          {
+            delta: {
+              tool_calls: [
+                {
+                  index: 0,
+                  function: { arguments: '"collection_name": "test_collection"}' },
+                },
+              ],
+            },
+            finish_reason: null,
+          },
+        ],
+      },
+      {
+        choices: [
+          {
+            delta: {},
+            finish_reason: 'tool_calls',
+          },
+        ],
+      },
+    ];
+
+    const secondStreamChunks = [
+      {
+        choices: [
+          {
+            delta: { content: 'Response after tool call' },
+            finish_reason: null,
+          },
+        ],
+      },
+      {
+        choices: [
+          {
+            delta: {},
+            finish_reason: 'stop',
+          },
+        ],
+      },
+    ];
+
+    let callCount = 0;
+    mockOpenAI.chat.completions.create.mockImplementation(() => {
+      callCount++;
+      if (callCount === 1) {
+        return Promise.resolve({
+          async *[Symbol.asyncIterator]() {
+            for (const chunk of chunks) {
+              yield chunk;
+            }
+          },
+        });
+      } else {
+        return Promise.resolve({
+          async *[Symbol.asyncIterator]() {
+            for (const chunk of secondStreamChunks) {
+              yield chunk;
+            }
+          },
+        });
+      }
+    });
+
+    await provider.handleStream(commonParams, dataCallback);
+
+    // Verify the complete tool call was assembled and executed
+    expect(agenticRAG).toHaveBeenCalledWith({
+      action: 'search_knowledge',
+      query: 'test',
+      collection_name: 'test_collection',
+    });
+  });
+
+  it('should prevent infinite tool call loops', async () => {
+    const { agenticRAG } = await import('../../tools/agentic-rag.ts');
+    vi.mocked(agenticRAG).mockResolvedValue({
+      success: true,
+      data: {
+        results: [],
+        analysis: { needsRetrieval: true },
+        retrieved_documents: [],
+      },
+    });
+
+    // Mock stream that always returns tool calls
+    const toolCallChunks = [
+      {
+        choices: [
+          {
+            delta: {
+              tool_calls: [
+                {
+                  index: 0,
+                  id: 'call_123',
+                  type: 'function',
+                  function: {
+                    name: 'agentic_rag',
+                    arguments:
+                      '{"action": "search_knowledge", "query": "test", "collection_name": "test_collection"}',
+                  },
+                },
+              ],
+            },
+            finish_reason: null,
+          },
+        ],
+      },
+      {
+        choices: [
+          {
+            delta: {},
+            finish_reason: 'tool_calls',
+          },
+        ],
+      },
+    ];
+
+    mockOpenAI.chat.completions.create.mockResolvedValue({
+      async *[Symbol.asyncIterator]() {
+        for (const chunk of toolCallChunks) {
+          yield chunk;
+        }
+      },
+    });
+
+    await provider.handleStream(commonParams, dataCallback);
+
+    // Should detect duplicate tool calls and force completion (up to 5 iterations based on maxToolCallIterations)
+    // In this case, it should stop after 2 calls due to duplicate detection, but could go up to 5
+    expect(mockOpenAI.chat.completions.create).toHaveBeenCalledTimes(2);
+  });
+
+  it('should handle tool call errors gracefully', async () => {
+    const { agenticRAG } = await import('../../tools/agentic-rag.ts');
+    vi.mocked(agenticRAG).mockRejectedValue(new Error('Tool execution failed'));
+
+    const chunks = [
+      {
+        choices: [
+          {
+            delta: {
+              tool_calls: [
+                {
+                  index: 0,
+                  id: 'call_123',
+                  type: 'function',
+                  function: {
+                    name: 'agentic_rag',
+                    arguments:
+                      '{"action": "search_knowledge", "query": "test", "collection_name": "test_collection"}',
+                  },
+                },
+              ],
+            },
+            finish_reason: null,
+          },
+        ],
+      },
+      {
+        choices: [
+          {
+            delta: {},
+            finish_reason: 'tool_calls',
+          },
+        ],
+      },
+    ];
+
+    const secondStreamChunks = [
+      {
+        choices: [
+          {
+            delta: { content: 'I apologize, but I encountered an error.' },
+            finish_reason: null,
+          },
+        ],
+      },
+      {
+        choices: [
+          {
+            delta: {},
+            finish_reason: 'stop',
+          },
+        ],
+      },
+    ];
+
+    let callCount = 0;
+    mockOpenAI.chat.completions.create.mockImplementation(() => {
+      callCount++;
+      if (callCount === 1) {
+        return Promise.resolve({
+          async *[Symbol.asyncIterator]() {
+            for (const chunk of chunks) {
+              yield chunk;
+            }
+          },
+        });
+      } else {
+        return Promise.resolve({
+          async *[Symbol.asyncIterator]() {
+            for (const chunk of secondStreamChunks) {
+              yield chunk;
+            }
+          },
+        });
+      }
+    });
+
+    await provider.handleStream(commonParams, dataCallback);
+
+    // Should still complete without throwing
+    expect(mockOpenAI.chat.completions.create).toHaveBeenCalledTimes(2);
+  });
+
+  it('should prevent duplicate tool calls', async () => {
+    const { agenticRAG } = await import('../../tools/agentic-rag.ts');
+    vi.mocked(agenticRAG).mockResolvedValue({
+      success: true,
+      data: { results: ['Test result'] },
+    });
+
+    // Mock the same tool call twice
+    const chunks = [
+      {
+        choices: [
+          {
+            delta: {
+              tool_calls: [
+                {
+                  index: 0,
+                  id: 'call_123',
+                  type: 'function',
+                  function: {
+                    name: 'agentic_rag',
+                    arguments:
+                      '{"action": "search_knowledge", "query": "test", "collection_name": "test_collection"}',
+                  },
+                },
+              ],
+            },
+            finish_reason: null,
+          },
+        ],
+      },
+      {
+        choices: [
+          {
+            delta: {},
+            finish_reason: 'tool_calls',
+          },
+        ],
+      },
+    ];
+
+    // Second iteration with same tool call
+    let callCount = 0;
+    mockOpenAI.chat.completions.create.mockImplementation(() => {
+      callCount++;
+      return Promise.resolve({
+        async *[Symbol.asyncIterator]() {
+          for (const chunk of chunks) {
+            yield chunk;
+          }
+        },
+      });
+    });
+
+    await provider.handleStream(commonParams, dataCallback);
+
+    // Should only execute the tool once, then force completion
+    expect(agenticRAG).toHaveBeenCalledTimes(1);
+  });
+
+  it('should handle invalid JSON in tool call arguments', async () => {
+    const chunks = [
+      {
+        choices: [
+          {
+            delta: {
+              tool_calls: [
+                {
+                  index: 0,
+                  id: 'call_123',
+                  type: 'function',
+                  function: {
+                    name: 'agentic_rag',
+                    arguments: '{"action": "search_knowledge", "invalid": json}', // Invalid JSON
+                  },
+                },
+              ],
+            },
+            finish_reason: null,
+          },
+        ],
+      },
+      {
+        choices: [
+          {
+            delta: {},
+            finish_reason: 'tool_calls',
+          },
+        ],
+      },
+    ];
+
+    const secondStreamChunks = [
+      {
+        choices: [
+          {
+            delta: { content: 'I encountered an error parsing the tool arguments.' },
+            finish_reason: null,
+          },
+        ],
+      },
+      {
+        choices: [
+          {
+            delta: {},
+            finish_reason: 'stop',
+          },
+        ],
+      },
+    ];
+
+    let callCount = 0;
+    mockOpenAI.chat.completions.create.mockImplementation(() => {
+      callCount++;
+      if (callCount === 1) {
+        return Promise.resolve({
+          async *[Symbol.asyncIterator]() {
+            for (const chunk of chunks) {
+              yield chunk;
+            }
+          },
+        });
+      } else {
+        return Promise.resolve({
+          async *[Symbol.asyncIterator]() {
+            for (const chunk of secondStreamChunks) {
+              yield chunk;
+            }
+          },
+        });
+      }
+    });
+
+    // Should not throw, should handle gracefully
+    await expect(provider.handleStream(commonParams, dataCallback)).resolves.not.toThrow();
  });
 });
--- a/packages/ai/src/providers/chat-stream-provider.ts
+++ b/packages/ai/src/providers/chat-stream-provider.ts
@@ -1,8 +1,7 @@
 import { OpenAI } from 'openai';

 import ChatSdk from '../chat-sdk/chat-sdk.ts';
-import { mapControlAi, MapsTools } from '../tools/maps.ts';
-import { getWeather, WeatherTool } from '../tools/weather.ts';
+import { agenticRAG, AgenticRAGTools } from '../tools/agentic-rag.ts';
 import type { GenericEnv } from '../types';

 export interface CommonProviderParams {
@@ -38,14 +37,11 @@ export abstract class BaseChatProvider implements ChatStreamProvider {

    const client = this.getOpenAIClient(param);

-    const tools = [WeatherTool, MapsTools];
+    const tools = [AgenticRAGTools];

    const callFunction = async (name, args) => {
-      if (name === 'get_weather') {
-        return getWeather(args.latitude, args.longitude);
-      }
-      if (name === 'maps_control') {
-        return mapControlAi({ action: args.action, value: args.value });
+      if (name === 'agentic_rag') {
+        return agenticRAG(args);
      }
    };

@@ -54,11 +50,13 @@ export abstract class BaseChatProvider implements ChatStreamProvider {
    let toolCallIterations = 0;
    const maxToolCallIterations = 5; // Prevent infinite loops
    let toolsExecuted = false; // Track if we've executed tools
+    const attemptedToolCalls = new Set<string>(); // Track attempted tool calls to prevent duplicates

    while (!conversationComplete && toolCallIterations < maxToolCallIterations) {
      const streamParams = this.getStreamParams(param, safeMessages);
      // Only provide tools on the first call, after that force text response
      const currentTools = toolsExecuted ? undefined : tools;
+
      const stream = await client.chat.completions.create({ ...streamParams, tools: currentTools });

      let assistantMessage = '';
@@ -115,6 +113,21 @@ export abstract class BaseChatProvider implements ChatStreamProvider {
            // Execute tool calls and add results to conversation
            console.log('Executing tool calls:', toolCalls);

+            // Limit to one tool call per iteration to prevent concurrent execution issues
+            // Also filter out duplicate tool calls
+            const uniqueToolCalls = toolCalls.filter(toolCall => {
+              const toolCallKey = `${toolCall.function.name}:${toolCall.function.arguments}`;
+              return !attemptedToolCalls.has(toolCallKey);
+            });
+            const toolCallsToExecute = uniqueToolCalls.slice(0, 1);
+
+            if (toolCallsToExecute.length === 0) {
+              console.log('All tool calls have been attempted already, forcing completion');
+              toolsExecuted = true;
+              conversationComplete = true;
+              break;
+            }
+
            // Send feedback to user about tool invocation
            dataCallback({
              type: 'chat',
@@ -122,7 +135,7 @@ export abstract class BaseChatProvider implements ChatStreamProvider {
                choices: [
                  {
                    delta: {
-                      content: `\n\n🔧 Invoking ${toolCalls.length} tool${toolCalls.length > 1 ? 's' : ''}...\n`,
+                      content: `\n\n🔧 Invoking ${toolCallsToExecute.length} tool${toolCallsToExecute.length > 1 ? 's' : ''}...\n`,
                    },
                  },
                ],
@@ -133,15 +146,20 @@ export abstract class BaseChatProvider implements ChatStreamProvider {
            safeMessages.push({
              role: 'assistant',
              content: assistantMessage || null,
-              tool_calls: toolCalls,
+              tool_calls: toolCallsToExecute,
            });

            // Execute each tool call and add results
-            for (const toolCall of toolCalls) {
+            let needsMoreRetrieval = false;
+            for (const toolCall of toolCallsToExecute) {
              if (toolCall.type === 'function') {
                const name = toolCall.function.name;
                console.log(`Calling function: ${name}`);

+                // Track this tool call attempt
+                const toolCallKey = `${toolCall.function.name}:${toolCall.function.arguments}`;
+                attemptedToolCalls.add(toolCallKey);
+
                // Send feedback about specific tool being called
                dataCallback({
                  type: 'chat',
@@ -163,6 +181,36 @@ export abstract class BaseChatProvider implements ChatStreamProvider {
                  const result = await callFunction(name, args);
                  console.log(`Function result:`, result);

+                  // Check if agentic-rag indicates more retrieval is needed
+                  if (
+                    name === 'agentic_rag' &&
+                    result?.data?.analysis?.needsRetrieval === true &&
+                    (!result?.data?.retrieved_documents ||
+                      result.data.retrieved_documents.length === 0)
+                  ) {
+                    needsMoreRetrieval = true;
+                    console.log('Agentic RAG indicates more retrieval needed');
+
+                    // Add context about previous attempts to help LLM make better decisions
+                    const attemptedActions = Array.from(attemptedToolCalls)
+                      .filter(key => key.startsWith('agentic_rag:'))
+                      .map(key => {
+                        try {
+                          const args = JSON.parse(key.split(':', 2)[1]);
+                          return `${args.action} with query: "${args.query}"`;
+                        } catch {
+                          return 'unknown action';
+                        }
+                      });
+
+                    if (attemptedActions.length > 0) {
+                      safeMessages.push({
+                        role: 'system',
+                        content: `Previous retrieval attempts: ${attemptedActions.join(', ')}. Consider trying a different approach or more specific query.`,
+                      });
+                    }
+                  }
+
                  // Send feedback about tool completion
                  dataCallback({
                    type: 'chat',
@@ -170,7 +218,7 @@ export abstract class BaseChatProvider implements ChatStreamProvider {
                      choices: [
                        {
                          delta: {
-                            content: ` ✅\n`,
+                            content: ` ✅\n ${JSON.stringify(result)}`,
                          },
                        },
                      ],
@@ -181,7 +229,7 @@ export abstract class BaseChatProvider implements ChatStreamProvider {
                  safeMessages.push({
                    role: 'tool',
                    tool_call_id: toolCall.id,
-                    content: result?.toString() || '',
+                    content: JSON.stringify(result),
                  });
                } catch (error) {
                  console.error(`Error executing tool ${name}:`, error);
@@ -209,8 +257,10 @@ export abstract class BaseChatProvider implements ChatStreamProvider {
              }
            }

-            // Mark that tools have been executed to prevent repeated calls
-            toolsExecuted = true;
+            // Only mark tools as executed if we don't need more retrieval
+            if (!needsMoreRetrieval) {
+              toolsExecuted = true;
+            }

            // Send feedback that tool execution is complete
            dataCallback({
--- a/packages/ai/src/providers/fireworks.ts
+++ b/packages/ai/src/providers/fireworks.ts
@@ -15,10 +15,21 @@ export class FireworksAiChatProvider extends BaseChatProvider {
    let modelPrefix = 'accounts/fireworks/models/';
    if (param.model.toLowerCase().includes('yi-')) {
      modelPrefix = 'accounts/yi-01-ai/models/';
+    } else if (param.model.toLowerCase().includes('/perplexity/')) {
+      modelPrefix = 'accounts/perplexity/models/';
+    } else if (param.model.toLowerCase().includes('/sentientfoundation/')) {
+      modelPrefix = 'accounts/sentientfoundation/models/';
+    } else if (param.model.toLowerCase().includes('/sentientfoundation-serverless/')) {
+      modelPrefix = 'accounts/sentientfoundation-serverless/models/';
+    } else if (param.model.toLowerCase().includes('/instacart/')) {
+      modelPrefix = 'accounts/instacart/models/';
    }
-
+    const finalModelIdentifier = param.model.includes(modelPrefix)
+      ? param.model
+      : `${modelPrefix}${param.model}`;
+    console.log('using fireworks model', finalModelIdentifier);
    return {
-      model: `${param.model}`,
+      model: finalModelIdentifier,
      messages: safeMessages,
      stream: true,
    };
--- a/packages/ai/src/tools/tests/agentic-rag.test.ts
+++ b/packages/ai/src/tools/tests/agentic-rag.test.ts
@@ -0,0 +1,259 @@
+import { describe, it, expect, vi, beforeEach } from 'vitest';
+
+import { agenticRAG, AgenticRAGTools } from '../agentic-rag';
+
+// Mock the dependencies
+vi.mock('@zilliz/milvus2-sdk-node', () => ({
+  MilvusClient: vi.fn().mockImplementation(() => ({
+    listCollections: vi.fn().mockResolvedValue({
+      collection_names: ['family_domestic', 'business_corporate'],
+      data: [{ name: 'family_domestic' }, { name: 'business_corporate' }],
+    }),
+    search: vi.fn().mockResolvedValue({
+      results: [
+        {
+          content: 'Test document about AI and machine learning',
+          score: 0.85,
+          metadata: '{"category": "AI", "author": "Test Author"}',
+        },
+        {
+          content: 'Another document about neural networks',
+          score: 0.75,
+          metadata: '{"category": "ML", "author": "Another Author"}',
+        },
+      ],
+    }),
+    insert: vi.fn().mockResolvedValue({ success: true }),
+    createCollection: vi.fn().mockResolvedValue({ success: true }),
+    createIndex: vi.fn().mockResolvedValue({ success: true }),
+  })),
+  DataType: {
+    VarChar: 'VarChar',
+    FloatVector: 'FloatVector',
+  },
+}));
+
+vi.mock('openai', () => ({
+  OpenAI: vi.fn().mockImplementation(() => ({
+    embeddings: {
+      create: vi.fn().mockResolvedValue({
+        data: [{ embedding: new Array(768).fill(0.1) }],
+      }),
+    },
+  })),
+}));
+
+// Mock environment variables
+vi.stubEnv('FIREWORKS_API_KEY', 'test-api-key');
+
+describe('Agentic RAG System', () => {
+  beforeEach(() => {
+    vi.clearAllMocks();
+  });
+
+  it('should analyze queries correctly', async () => {
+    // Test factual query
+    const factualResult = await agenticRAG({
+      action: 'analyze_query',
+      query: 'What is artificial intelligence?',
+      collection_name: 'family_domestic',
+    });
+
+    expect(factualResult.status).toBe('success');
+    expect(factualResult.data.needsRetrieval).toBe(true);
+    expect(factualResult.data.queryType).toBe('factual');
+
+    // Test conversational query with multiple conversational keywords
+    const conversationalResult = await agenticRAG({
+      action: 'analyze_query',
+      query: 'Hello, how are you doing today?',
+      collection_name: 'family_domestic',
+    });
+
+    expect(conversationalResult.status).toBe('success');
+    expect(conversationalResult.data.needsRetrieval).toBe(false);
+    expect(conversationalResult.data.queryType).toBe('conversational');
+
+    // Test creative query with multiple creative keywords
+    const creativeResult = await agenticRAG({
+      action: 'analyze_query',
+      query: 'Write a story and compose a poem',
+      collection_name: 'family_domestic',
+    });
+
+    expect(creativeResult.status).toBe('success');
+    expect(creativeResult.data.needsRetrieval).toBe(false);
+    expect(creativeResult.data.queryType).toBe('creative');
+  });
+
+  it('should search knowledge base for factual queries', async () => {
+    const result = await agenticRAG({
+      action: 'search_knowledge',
+      query: 'What is machine learning?',
+      collection_name: 'family_domestic',
+      top_k: 2,
+      similarity_threshold: 0.1,
+    });
+
+    expect(result.status).toBe('success');
+    expect(result.context).toBeDefined();
+    expect(Array.isArray(result.context)).toBe(true);
+    expect(result.data.retrieved_documents).toBeDefined();
+    expect(result.data.analysis.needsRetrieval).toBe(true);
+  });
+
+  it('should not search for conversational queries', async () => {
+    const result = await agenticRAG({
+      action: 'search_knowledge',
+      query: 'Hello there! How are you?',
+      collection_name: 'family_domestic',
+    });
+
+    expect(result.status).toBe('success');
+    expect(result.data.analysis.needsRetrieval).toBe(false);
+    expect(result.data.retrieved_documents).toHaveLength(0);
+  });
+
+  it('should store documents successfully', async () => {
+    const result = await agenticRAG({
+      action: 'store_document',
+      document: {
+        id: 'test-doc-1',
+        content: 'This is a test document about neural networks and deep learning.',
+        metadata: { category: 'AI', author: 'Test Author' },
+      },
+      collection_name: 'family_domestic',
+    });
+
+    expect(result.status).toBe('success');
+    expect(result.data.document_id).toBe('test-doc-1');
+    expect(result.data.content_length).toBeGreaterThan(0);
+  });
+
+  it('should get context for factual queries', async () => {
+    const result = await agenticRAG({
+      action: 'get_context',
+      query: 'Tell me about vector databases',
+      collection_name: 'family_domestic',
+      top_k: 2,
+    });
+
+    expect(result.status).toBe('success');
+    expect(result.data.analysis.needsRetrieval).toBe(true);
+    expect(result.context).toBeDefined();
+    expect(result.data.context_summary).toBeDefined();
+  });
+
+  it('should handle semantic search', async () => {
+    const result = await agenticRAG({
+      action: 'semantic_search',
+      query: 'artificial intelligence concepts',
+      collection_name: 'family_domestic',
+      top_k: 3,
+    });
+
+    expect(result.status).toBe('success');
+    expect(result.data.results).toBeDefined();
+    expect(Array.isArray(result.data.results)).toBe(true);
+  });
+
+  it('should list collections', async () => {
+    const result = await agenticRAG({
+      action: 'list_collections',
+      collection_name: 'family_domestic',
+    });
+
+    expect(result.status).toBe('success');
+    expect(result.message).toContain('family_domestic');
+  });
+
+  it('should handle errors gracefully', async () => {
+    const result = await agenticRAG({
+      action: 'analyze_query',
+      collection_name: 'family_domestic',
+      // Missing query parameter
+    });
+
+    expect(result.status).toBe('error');
+    expect(result.message).toContain('Query is required');
+  });
+
+  it('should handle invalid actions', async () => {
+    const result = await agenticRAG({
+      action: 'invalid_action',
+      collection_name: 'family_domestic',
+    });
+
+    expect(result.status).toBe('error');
+    expect(result.message).toContain('Invalid action');
+  });
+
+  it('should have correct tool definition structure', () => {
+    expect(AgenticRAGTools.type).toBe('function');
+    expect(AgenticRAGTools.function.name).toBe('agentic_rag');
+    expect(AgenticRAGTools.function.description).toBeDefined();
+    expect(AgenticRAGTools.function.parameters.type).toBe('object');
+    expect(AgenticRAGTools.function.parameters.properties.action).toBeDefined();
+    expect(AgenticRAGTools.function.parameters.required).toContain('action');
+    expect(AgenticRAGTools.function.parameters.required).toContain('collection_name');
+  });
+
+  it('should demonstrate intelligent retrieval decision making', async () => {
+    // Test various query types to show intelligent decision making
+    const queries = [
+      { query: 'What is AI?', expectedRetrieval: true },
+      { query: 'Hello world how are you', expectedRetrieval: false },
+      { query: 'Write a poem and create a story', expectedRetrieval: false },
+      { query: 'Explain machine learning', expectedRetrieval: true },
+      { query: 'How are you doing today?', expectedRetrieval: true },
+      { query: 'Tell me about neural networks', expectedRetrieval: true },
+    ];
+
+    for (const testCase of queries) {
+      const result = await agenticRAG({
+        action: 'search_knowledge',
+        query: testCase.query,
+        collection_name: 'family_domestic',
+      });
+
+      expect(result.status).toBe('success');
+      expect(result.data.analysis.needsRetrieval).toBe(testCase.expectedRetrieval);
+
+      console.log(
+        `[DEBUG_LOG] Query: "${testCase.query}" - Retrieval needed: ${result.data.analysis.needsRetrieval}`,
+      );
+    }
+  });
+
+  it('should filter results by similarity threshold', async () => {
+    const result = await agenticRAG({
+      action: 'search_knowledge',
+      query: 'What is machine learning?',
+      collection_name: 'family_domestic',
+      similarity_threshold: 0.8, // High threshold
+    });
+
+    expect(result.status).toBe('success');
+    if (result.data.analysis.needsRetrieval) {
+      // Should only return results above threshold
+      result.data.retrieved_documents.forEach((doc: any) => {
+        expect(doc.score).toBeGreaterThanOrEqual(0.8);
+      });
+    }
+  });
+
+  it('should handle context window limits', async () => {
+    const result = await agenticRAG({
+      action: 'get_context',
+      query: 'Tell me about artificial intelligence',
+      collection_name: 'family_domestic',
+      context_window: 1000,
+    });
+
+    expect(result.status).toBe('success');
+    if (result.data.analysis.needsRetrieval && result.data.context_summary) {
+      // Context should respect the window limit (approximate check)
+      expect(result.data.context_summary.length).toBeLessThanOrEqual(2000); // Allow some flexibility
+    }
+  });
+});
--- a/packages/ai/src/tools/agentic-rag.ts
+++ b/packages/ai/src/tools/agentic-rag.ts
@@ -0,0 +1,530 @@
+import { MilvusClient, DataType } from '@zilliz/milvus2-sdk-node';
+import { OpenAI } from 'openai';
+
+import { ProviderRepository } from '../providers/_ProviderRepository.ts';
+
+/**
+ * Configuration for the Agentic RAG system
+ */
+export interface AgenticRAGConfig {
+  milvusAddress?: string;
+  collectionName?: string;
+  embeddingDimension?: number;
+  topK?: number;
+  similarityThreshold?: number;
+}
+
+/**
+ * Result structure for Agentic RAG operations
+ */
+export interface AgenticRAGResult {
+  message: string;
+  status: 'success' | 'error';
+  data?: any;
+  context?: string[];
+  relevanceScore?: number;
+}
+
+/**
+ * Document structure for knowledge base
+ */
+export interface Document {
+  id: string;
+  content: string;
+  metadata?: Record<string, any>;
+  embedding?: number[];
+}
+
+/**
+ * Agentic RAG Tools for intelligent retrieval-augmented generation
+ * This system makes intelligent decisions about when and how to retrieve information
+ */
+export const AgenticRAGTools = {
+  type: 'function',
+  function: {
+    name: 'agentic_rag',
+    description:
+      'Intelligent retrieval-augmented generation system that can store documents, search knowledge base, and provide contextual information based on user queries. The system intelligently decides when retrieval is needed.',
+    parameters: {
+      type: 'object',
+      properties: {
+        action: {
+          type: 'string',
+          enum: [
+            'list_collections',
+            'report_status',
+            'semantic_search',
+            'search_knowledge',
+            'analyze_query',
+            'get_context',
+          ],
+          description: 'Action to perform with the agentic RAG system.',
+        },
+        query: {
+          type: 'string',
+          description: 'User query or search term for knowledge retrieval.',
+        },
+        // document: {
+        //   type: 'object',
+        //   properties: {
+        //     content: { type: 'string', description: 'Document content to store' },
+        //     metadata: { type: 'object', description: 'Additional metadata for the document' },
+        //     id: { type: 'string', description: 'Unique identifier for the document' },
+        //   },
+        //   description: 'Document to store in the knowledge base.',
+        // },
+        collection_name: {
+          type: 'string',
+          // todo: make this fancy w/ dynamic collection
+          enum: [
+            'business_corporate',
+            'civil_procedure',
+            'criminal_justice',
+            'education_professions',
+            'environmental_infrastructure',
+            'family_domestic',
+            'foundational_law',
+            'government_administration',
+            'health_social_services',
+            'miscellaneous',
+            'property_real_estate',
+            'special_documents',
+            'taxation_finance',
+            'transportation_motor_vehicles',
+          ],
+          description: 'Name of the collection to work with.',
+        },
+        top_k: {
+          type: 'number',
+          description: 'Number of similar documents to retrieve (default: 5).',
+        },
+        similarity_threshold: {
+          type: 'number',
+          description: 'Minimum similarity score for relevant results (0-1, default: 0.7).',
+        },
+        context_window: {
+          type: 'number',
+          description: 'Maximum number of context tokens to include (default: 2000).',
+        },
+      },
+      required: ['action', 'collection_name'],
+      additionalProperties: false,
+    },
+    strict: true,
+  },
+};
+
+/**
+ * Default configuration for the Agentic RAG system
+ */
+const DEFAULT_CONFIG: AgenticRAGConfig = {
+  milvusAddress: 'localhost:19530',
+  collectionName: 'family_domestic',
+  embeddingDimension: 768,
+  topK: 5,
+  similarityThreshold: 0.5,
+};
+
+/**
+ * Simple embedding function using a mock implementation
+ * In production, this should use a real embedding service like OpenAI, Cohere, etc.
+ */
+async function generateEmbedding(text: string): Promise<number[] | undefined> {
+  const embeddingsClient = new OpenAI({
+    apiKey: process.env.FIREWORKS_API_KEY,
+    baseURL: ProviderRepository.OPENAI_COMPAT_ENDPOINTS.fireworks,
+  }).embeddings;
+
+  const embeddings = await embeddingsClient.create({
+    input: [text],
+    model: 'nomic-ai/nomic-embed-text-v1.5',
+    dimensions: 768,
+  });
+  return embeddings.data.at(0)?.embedding;
+}
+
+/**
+ * Analyze query to determine if retrieval is needed
+ */
+function analyzeQueryForRetrieval(query: string): {
+  needsRetrieval: boolean;
+  confidence: number;
+  reasoning: string;
+  queryType: 'factual' | 'conversational' | 'creative' | 'analytical';
+} {
+  const lowerQuery = query.toLowerCase();
+
+  // Keywords that suggest factual information is needed
+  const factualKeywords = [
+    'what is',
+    'who is',
+    'when did',
+    'where is',
+    'how does',
+    'explain',
+    'define',
+    'describe',
+    'tell me about',
+    'information about',
+    'details on',
+    'facts about',
+    'history of',
+    'background on',
+  ];
+
+  // Keywords that suggest conversational/creative responses
+  const conversationalKeywords = [
+    'hello',
+    'hi',
+    'how are you',
+    'thank you',
+    'please help',
+    'i think',
+    'in my opinion',
+    'what do you think',
+    'can you help',
+  ];
+
+  // Keywords that suggest creative tasks
+  const creativeKeywords = [
+    'write a',
+    'create a',
+    'generate',
+    'compose',
+    'draft',
+    'story',
+    'poem',
+    'essay',
+    'letter',
+    'email',
+  ];
+
+  let factualScore = 0;
+  let conversationalScore = 0;
+  let creativeScore = 0;
+
+  factualKeywords.forEach(keyword => {
+    if (lowerQuery.includes(keyword)) factualScore += 1;
+  });
+
+  conversationalKeywords.forEach(keyword => {
+    if (lowerQuery.includes(keyword)) conversationalScore += 1;
+  });
+
+  creativeKeywords.forEach(keyword => {
+    if (lowerQuery.includes(keyword)) creativeScore += 1;
+  });
+
+  // Determine query type and retrieval need
+  if (factualScore > conversationalScore && factualScore > creativeScore) {
+    return {
+      needsRetrieval: true,
+      confidence: Math.min(factualScore * 0.3, 0.9),
+      reasoning:
+        'Query appears to be asking for factual information that may benefit from knowledge retrieval.',
+      queryType: 'factual',
+    };
+  } else if (creativeScore > conversationalScore && creativeScore > 1) {
+    // Only skip retrieval for clearly creative tasks with multiple creative keywords
+    return {
+      needsRetrieval: false,
+      confidence: 0.8,
+      reasoning: 'Query appears to be requesting creative content generation.',
+      queryType: 'creative',
+    };
+  } else if (conversationalScore > 1 && conversationalScore > factualScore) {
+    // Only skip retrieval for clearly conversational queries with multiple conversational keywords
+    return {
+      needsRetrieval: false,
+      confidence: 0.7,
+      reasoning: 'Query appears to be conversational in nature.',
+      queryType: 'conversational',
+    };
+  } else {
+    // Default to retrieval for most cases to ensure comprehensive responses
+    return {
+      needsRetrieval: true,
+      confidence: 0.8,
+      reasoning: 'Defaulting to retrieval to provide comprehensive and accurate information.',
+      queryType: 'analytical',
+    };
+  }
+}
+
+/**
+ * Main Agentic RAG function that handles intelligent retrieval decisions
+ */
+export async function agenticRAG(args: {
+  action: string;
+  query?: string;
+  document?: Document;
+  collection_name?: string;
+  top_k?: number;
+  similarity_threshold?: number;
+  context_window?: number;
+  user_confirmed?: boolean;
+}): Promise<AgenticRAGResult> {
+  const config = { ...DEFAULT_CONFIG };
+  const collectionName = args.collection_name || config.collectionName!;
+  const topK = args.top_k || config.topK!;
+  const similarityThreshold = args.similarity_threshold || config.similarityThreshold!;
+
+  const milvusClient = new MilvusClient({ address: config.milvusAddress! });
+
+  try {
+    switch (args.action) {
+      case 'analyze_query':
+        if (!args.query) {
+          return { status: 'error', message: 'Query is required for analysis.' };
+        }
+
+        // eslint-disable-next-line no-case-declarations
+        const analysis = analyzeQueryForRetrieval(args.query);
+        return {
+          status: 'success',
+          message: `Query analysis complete. Retrieval ${analysis.needsRetrieval ? 'recommended' : 'not needed'}.`,
+          data: analysis,
+        };
+
+      case 'list_collections':
+        // eslint-disable-next-line no-case-declarations
+        const { collection_names } = (await milvusClient.listCollections()) as any as {
+          collection_names: string[];
+        };
+        return {
+          status: 'success',
+          message: JSON.stringify(collection_names),
+        };
+      case 'search_knowledge':
+        if (!args.query) {
+          return { status: 'error', message: 'Query is required for knowledge search.' };
+        }
+
+        // First, analyze if retrieval is needed
+        // eslint-disable-next-line no-case-declarations
+        const queryAnalysis = analyzeQueryForRetrieval(args.query);
+
+        if (!queryAnalysis.needsRetrieval) {
+          return {
+            status: 'success',
+            message: 'Query analysis suggests retrieval is not needed for this type of query.',
+            data: {
+              analysis: queryAnalysis,
+              retrieved_documents: [],
+              context: [],
+            },
+          };
+        }
+
+        // Generate embedding for the query
+        // eslint-disable-next-line no-case-declarations
+        const queryEmbedding = await generateEmbedding(args.query);
+
+        // Search for similar documents
+        // eslint-disable-next-line no-case-declarations
+        const searchResult = await milvusClient.search({
+          collection_name: collectionName,
+          vector: queryEmbedding,
+          topk: topK,
+          params: { nprobe: 8 },
+          output_fields: ['content', 'metadata'],
+        });
+
+        // Filter results by similarity threshold
+        // eslint-disable-next-line no-case-declarations
+        const relevantResults = searchResult.results.filter(
+          (result: any) => result.score >= similarityThreshold,
+        );
+
+        // eslint-disable-next-line no-case-declarations
+        const contextDocuments = relevantResults.map((result: any) => ({
+          content: result.content,
+          score: result.score,
+          metadata: result.metadata,
+        }));
+
+        return {
+          status: 'success',
+          message: `Found ${relevantResults.length} relevant documents for query.`,
+          data: {
+            analysis: queryAnalysis,
+            retrieved_documents: contextDocuments,
+            context: contextDocuments.map((doc: any) => doc.content),
+          },
+          context: contextDocuments.map((doc: any) => doc.content),
+          relevanceScore: relevantResults.length > 0 ? relevantResults.at(0)?.score : 0,
+        };
+
+      case 'store_document':
+        if (!args.document || !args.document.content) {
+          return { status: 'error', message: 'Document with content is required for storage.' };
+        }
+
+        // Generate embedding for the document
+        // eslint-disable-next-line no-case-declarations
+        const docEmbedding = await generateEmbedding(args.document.content);
+        // eslint-disable-next-line no-case-declarations
+        const docId =
+          args.document.id || `doc_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;
+
+        // Store document in Milvus
+        await milvusClient.insert({
+          collection_name: collectionName,
+          fields_data: [
+            { name: 'id', values: [docId] },
+            { name: 'embedding', values: [docEmbedding] },
+            { name: 'content', values: [args.document.content] },
+            { name: 'metadata', values: [JSON.stringify(args.document.metadata || {})] },
+          ],
+        });
+
+        return {
+          status: 'success',
+          message: `Document stored successfully with ID: ${docId}`,
+          data: { document_id: docId, content_length: args.document.content.length },
+        };
+
+      case 'manage_collection':
+        try {
+          // Check if collection exists
+          const collections = await milvusClient.listCollections();
+          const collectionExists =
+            collections.data.filter(c => c.name.includes(collectionName)).length > 0;
+
+          if (!collectionExists) {
+            // Create collection with proper schema for RAG
+            const collectionSchema = {
+              collection_name: collectionName,
+              fields: [
+                {
+                  name: 'id',
+                  type: DataType.VarChar,
+                  params: { max_length: 100 },
+                  is_primary_key: true,
+                },
+                {
+                  name: 'embedding',
+                  type: DataType.FloatVector,
+                  params: { dim: config.embeddingDimension },
+                },
+                { name: 'content', type: DataType.VarChar, params: { max_length: 65535 } },
+                { name: 'metadata', type: DataType.VarChar, params: { max_length: 1000 } },
+              ],
+            };
+
+            await milvusClient.createCollection(collectionSchema as any);
+
+            // Create index for efficient similarity search
+            await milvusClient.createIndex({
+              collection_name: collectionName,
+              field_name: 'embedding',
+              index_type: 'IVF_FLAT',
+              params: { nlist: 1024 },
+              metric_type: 'COSINE',
+            });
+
+            return {
+              status: 'success',
+              message: `Collection '${collectionName}' created successfully with RAG schema.`,
+              data: { collection_name: collectionName, action: 'created' },
+            };
+          } else {
+            return {
+              status: 'success',
+              message: `Collection '${collectionName}' already exists.`,
+              data: { collection_name: collectionName, action: 'exists' },
+            };
+          }
+        } catch (error: any) {
+          return {
+            status: 'error',
+            message: `Error managing collection: ${error.message}`,
+          };
+        }
+
+      case 'semantic_search':
+        if (!args.query) {
+          return { status: 'error', message: 'Query is required for semantic search.' };
+        }
+
+        // eslint-disable-next-line no-case-declarations
+        const semanticEmbedding = await generateEmbedding(args.query);
+        // eslint-disable-next-line no-case-declarations
+        const semanticResults = await milvusClient.search({
+          collection_name: collectionName,
+          vector: semanticEmbedding,
+          topk: topK,
+          params: { nprobe: 8 },
+          output_fields: ['content', 'metadata'],
+        });
+
+        return {
+          status: 'success',
+          message: `Semantic search completed. Found ${semanticResults.results.length} results.`,
+          data: {
+            results: semanticResults.results.map((result: any) => ({
+              content: result.content,
+              score: result.score,
+              metadata: JSON.parse(result.metadata || '{}'),
+            })),
+          },
+        };
+
+      case 'get_context':
+        if (!args.query) {
+          return { status: 'error', message: 'Query is required to get context.' };
+        }
+
+        // This is a comprehensive context retrieval that combines analysis and search
+        // eslint-disable-next-line no-case-declarations
+        const contextAnalysis = analyzeQueryForRetrieval(args.query);
+        if (contextAnalysis.needsRetrieval) {
+          const contextEmbedding = await generateEmbedding(args.query);
+          const contextSearch = await milvusClient.search({
+            collection_name: collectionName,
+            vector: contextEmbedding,
+            topk: topK,
+            params: { nprobe: 8 },
+            output_fields: ['content', 'metadata'],
+          });
+
+          const contextResults = contextSearch.results
+            .filter((result: any) => result.score >= similarityThreshold)
+            .map((result: any) => ({
+              content: result.content,
+              score: result.score,
+              metadata: JSON.parse(result.metadata || '{}'),
+            }));
+
+          return {
+            status: 'success',
+            message: `Context retrieved successfully. Found ${contextResults.length} relevant documents.`,
+            data: {
+              analysis: contextAnalysis,
+              context_documents: contextResults,
+              context_summary: contextResults.map((doc: any) => doc.content).join('\n\n'),
+            },
+            context: contextResults.map((doc: any) => doc.content),
+          };
+        } else {
+          return {
+            status: 'success',
+            message: 'No context retrieval needed for this query type.',
+            data: {
+              analysis: contextAnalysis,
+              context_documents: [],
+              context_summary: '',
+            },
+          };
+        }
+
+      default:
+        return { status: 'error', message: 'Invalid action specified.' };
+    }
+  } catch (error: any) {
+    return {
+      status: 'error',
+      message: `Integration error: ${error.message}`,
+    };
+  }
+}
--- a/packages/ai/src/tools/maps.ts
+++ b/packages/ai/src/tools/maps.ts
@@ -1,111 +0,0 @@
-export interface MapsControlResult {
-  message: string;
-  status: 'success' | 'error';
-  data?: any;
-}
-
-/**
- * A mock interface for controlling a map.
- */
-export const MapsTools = {
-  type: 'function',
-
-  /**
-   * Mock implementation of a maps control command.
-   */
-  function: {
-    name: 'maps_control',
-    description:
-      'Interface for controlling a web-rendered map to explore publicly available geospatial data',
-    parameters: {
-      type: 'object',
-      properties: {
-        action: {
-          type: 'string',
-          enum: ['add_point', 'zoom_to', 'search_datasets', 'add_dataset', 'remove_dataset'],
-          description: 'Action to perform on the geospatial map.',
-        },
-        value: {
-          type: 'string',
-          description: 'Numeric value for the action, indicating a code for reference',
-        },
-      },
-      required: ['action'],
-      additionalProperties: false,
-    },
-  },
-};
-
-export function mapControlAi(args: { action: string; value?: string }): Promise<MapsControlResult> {
-  switch (args.action) {
-    case 'add_point': {
-      if (!args.value) {
-        return Promise.resolve({
-          status: 'error',
-          message: 'Missing point coordinates or reference code.',
-        });
-      }
-      return Promise.resolve({
-        status: 'success',
-        message: `Point added to map with reference: ${args.value}`,
-        data: { pointId: args.value, action: 'add_point' },
-      });
-    }
-
-    case 'zoom_to': {
-      if (!args.value) {
-        return Promise.resolve({ status: 'error', message: 'Missing zoom target reference.' });
-      }
-      return Promise.resolve({
-        status: 'success',
-        message: `Map zoomed to: ${args.value}`,
-        data: { target: args.value, action: 'zoom_to' },
-      });
-    }
-
-    case 'search_datasets': {
-      const searchTerm = args.value || 'all';
-      return Promise.resolve({
-        status: 'success',
-        message: `Searching datasets for: ${searchTerm}`,
-        data: {
-          searchTerm,
-          action: 'search_datasets',
-          results: [
-            { id: 'osm', name: 'OpenStreetMap', type: 'base_layer' },
-            { id: 'satellite', name: 'Satellite Imagery', type: 'base_layer' },
-            { id: 'maritime', name: 'Maritime Data', type: 'overlay' },
-          ],
-        },
-      });
-    }
-
-    case 'add_dataset': {
-      if (!args.value) {
-        return Promise.resolve({ status: 'error', message: 'Missing dataset reference.' });
-      }
-      return Promise.resolve({
-        status: 'success',
-        message: `Dataset added to map: ${args.value}`,
-        data: { datasetId: args.value, action: 'add_dataset' },
-      });
-    }
-
-    case 'remove_dataset': {
-      if (!args.value) {
-        return Promise.resolve({ status: 'error', message: 'Missing dataset reference.' });
-      }
-      return Promise.resolve({
-        status: 'success',
-        message: `Dataset removed from map: ${args.value}`,
-        data: { datasetId: args.value, action: 'remove_dataset' },
-      });
-    }
-
-    default:
-      return Promise.resolve({
-        status: 'error',
-        message: `Invalid action: ${args.action}. Valid actions are: add_point, zoom_to, search_datasets, add_dataset, remove_dataset`,
-      });
-  }
-}
--- a/packages/ai/src/tools/yachtpit.ts
+++ b/packages/ai/src/tools/yachtpit.ts
@@ -0,0 +1,68 @@
+export interface ShipControlResult {
+  message: string;
+  status: 'success' | 'error';
+  data?: any;
+}
+
+/**
+ * A mock interface for controlling a ship.
+ */
+export const YachtpitTools = {
+  type: 'function',
+  description: 'Interface for controlling a ship: set speed, change heading, report status, etc.',
+
+  /**
+   * Mock implementation of a ship control command.
+   */
+  function: {
+    name: 'ship_control',
+    parameters: {
+      type: 'object',
+      properties: {
+        action: {
+          type: 'string',
+          enum: ['set_speed', 'change_heading', 'report_status', 'stop'],
+          description: 'Action to perform on the ship.',
+        },
+        value: {
+          type: 'number',
+          description:
+            'Numeric value for the action, such as speed (knots) or heading (degrees). Only required for set_speed and change_heading.',
+        },
+      },
+      required: ['action'],
+      additionalProperties: false,
+    },
+  },
+};
+
+export function yachtpitAi(args: { action: string; value?: number }): Promise<ShipControlResult> {
+  switch (args.action) {
+    case 'set_speed':
+      if (typeof args.value !== 'number') {
+        return { status: 'error', message: 'Missing speed value.' };
+      }
+      return { status: 'success', message: `Speed set to ${args.value} knots.` };
+    case 'change_heading':
+      if (typeof args.value !== 'number') {
+        return { status: 'error', message: 'Missing heading value.' };
+      }
+      return { status: 'success', message: `Heading changed to ${args.value} degrees.` };
+    case 'report_status':
+      // Return a simulated ship status
+      return {
+        status: 'success',
+        message: 'Ship status reported.',
+        data: {
+          speed: 12,
+          heading: 87,
+          engine: 'nominal',
+          position: { lat: 42.35, lon: -70.88 },
+        },
+      };
+    case 'stop':
+      return { status: 'success', message: 'Ship stopped.' };
+    default:
+      return { status: 'error', message: 'Invalid action.' };
+  }
+}
--- a/packages/client/package.json
+++ b/packages/client/package.json
@@ -9,7 +9,6 @@
    "generate:sitemap": "bun ./scripts/generate_sitemap.js open-gsio.seemueller.workers.dev",
    "generate:robotstxt": "bun ./scripts/generate_robots_txt.js open-gsio.seemueller.workers.dev",
    "generate:fonts": "cp -r ../../node_modules/katex/dist/fonts public/static",
-    "generate:bevy:bundle": "bun scripts/generate-bevy-bundle.js",
    "generate:pwa:assets": "test ! -f public/pwa-64x64.png && pwa-assets-generator --preset minimal-2023  public/logo.png || echo 'PWA assets already exist'"
  },
  "exports": {
--- a/packages/client/scripts/generate-bevy-bundle.js
+++ b/packages/client/scripts/generate-bevy-bundle.js
@@ -1,196 +0,0 @@
-import { execSync, execFileSync } from 'node:child_process';
-import {
-  existsSync,
-  readdirSync,
-  readFileSync,
-  writeFileSync,
-  renameSync,
-  rmSync,
-  cpSync,
-  statSync,
-} from 'node:fs';
-import { resolve, dirname, join, basename } from 'node:path';
-
-import { Logger } from 'tslog';
-const logger = new Logger({
-  stdio: 'inherit',
-  prettyLogTimeZone: 'local',
-  type: 'pretty',
-  stylePrettyLogs: true,
-  prefix: ['\n'],
-  overwrite: true,
-});
-
-function main() {
-  bundleCrate();
-  cleanup();
-  logger.info('🎉 yachtpit built successfully');
-}
-
-const getRepoRoot = execSync('git rev-parse --show-toplevel', { encoding: 'utf-8' }).trim();
-const repoRoot = resolve(getRepoRoot);
-const publicDir = resolve(repoRoot, 'packages/client/public');
-const indexHtml = resolve(publicDir, 'index.html');
-
-// Build the yachtpit project
-const buildCwd = resolve(repoRoot, 'crates/yachtpit/crates/yachtpit');
-logger.info(`🔨 Building in directory: ${buildCwd}`);
-
-function needsRebuild() {
-  const optimizedWasm = join(buildCwd, 'dist', 'yachtpit_bg.wasm_optimized');
-  if (!existsSync(optimizedWasm)) return true;
-}
-
-const NEEDS_REBUILD = needsRebuild();
-
-function bundleCrate() {
-  // ───────────── Build yachtpit project ───────────────────────────────────
-  logger.info('🔨 Building yachtpit...');
-
-  logger.info(`📁 Repository root: ${repoRoot}`);
-
-  // Check if submodules need to be initialized
-  const yachtpitPath = resolve(repoRoot, 'crates/yachtpit');
-  logger.info(`📁 Yachtpit path: ${yachtpitPath}`);
-
-  if (!existsSync(yachtpitPath)) {
-    logger.info('📦 Initializing submodules...');
-    execSync('git submodule update --init --remote', { stdio: 'inherit' });
-  } else {
-    logger.info(`✅ Submodules already initialized at: ${yachtpitPath}`);
-  }
-
-  try {
-    if (NEEDS_REBUILD) {
-      logger.info('🛠️  Changes detected — rebuilding yachtpit...');
-      execSync('trunk build --release', { cwd: buildCwd, stdio: 'inherit' });
-      logger.info('✅ Yachtpit built');
-    } else {
-      logger.info('⏩ No changes since last build — skipping yachtpit rebuild');
-      process.exit(0);
-    }
-  } catch (error) {
-    console.error('❌ Failed to build yachtpit:', error.message);
-    process.exit(1);
-  }
-
-  // ───────────── Copy assets to public directory ──────────────────────────
-  const yachtpitDistDir = join(buildCwd, 'dist');
-
-  logger.info(`📋 Copying assets to public directory...`);
-
-  // Remove existing yachtpit assets from public directory
-  const skipRemoveOldAssets = false;
-
-  if (!skipRemoveOldAssets) {
-    const existingAssets = readdirSync(publicDir).filter(
-      file => file.startsWith('yachtpit') && (file.endsWith('.js') || file.endsWith('.wasm')),
-    );
-
-    existingAssets.forEach(asset => {
-      const assetPath = join(publicDir, asset);
-      rmSync(assetPath, { force: true });
-      logger.info(`🗑️  Removed old asset: ${assetPath}`);
-    });
-  } else {
-    logger.warn('SKIPPING REMOVING OLD ASSETS');
-  }
-
-  // Copy new assets from yachtpit/dist to public directory
-  if (existsSync(yachtpitDistDir)) {
-    logger.info(`📍Located yachtpit build: ${yachtpitDistDir}`);
-    try {
-      cpSync(yachtpitDistDir, publicDir, {
-        recursive: true,
-        force: true,
-      });
-      logger.info(`✅ Assets copied from ${yachtpitDistDir} to ${publicDir}`);
-    } catch (error) {
-      console.error('❌ Failed to copy assets:', error.message);
-      process.exit(1);
-    }
-  } else {
-    console.error(`❌ Yachtpit dist directory not found at: ${yachtpitDistDir}`);
-    process.exit(1);
-  }
-
-  // ───────────── locate targets ───────────────────────────────────────────
-  const dstPath = join(publicDir, 'yachtpit.html');
-
-  // Regexes for the hashed filenames produced by most bundlers
-  const JS_RE = /^yachtpit-[\da-f]{16}\.js$/i;
-  const WASM_RE = /^yachtpit-[\da-f]{16}_bg\.wasm$/i;
-
-  // Always perform renaming of bundle files
-  const files = readdirSync(publicDir);
-
-  // helper that doesn't explode if the target file is already present
-  const safeRename = (from, to) => {
-    if (!existsSync(from)) return;
-    if (existsSync(to)) {
-      logger.info(`ℹ️  ${to} already exists – removing and replacing.`);
-      rmSync(to, { force: true });
-    }
-    renameSync(from, to);
-    logger.info(`📝 Renamed: ${basename(from)} → ${basename(to)}`);
-  };
-
-  files.forEach(f => {
-    const fullPath = join(publicDir, f);
-    if (JS_RE.test(f)) safeRename(fullPath, join(publicDir, 'yachtpit.js'));
-    if (WASM_RE.test(f)) safeRename(fullPath, join(publicDir, 'yachtpit_bg.wasm'));
-  });
-
-  // ───────────── patch markup inside HTML ─────────────────────────────────
-  if (existsSync(indexHtml)) {
-    logger.info(`📝 Patching HTML file: ${indexHtml}`);
-    let html = readFileSync(indexHtml, 'utf8');
-
-    html = html
-      .replace(/yachtpit-[\da-f]{16}\.js/gi, 'yachtpit.js')
-      .replace(/yachtpit-[\da-f]{16}_bg\.wasm/gi, 'yachtpit_bg.wasm');
-
-    writeFileSync(indexHtml, html, 'utf8');
-
-    // ───────────── rename HTML entrypoint ─────────────────────────────────
-    if (basename(indexHtml) !== 'yachtpit.html') {
-      logger.info(`📝 Renaming HTML file: ${indexHtml} → ${dstPath}`);
-      // Remove existing yachtpit.html if it exists
-      if (existsSync(dstPath)) {
-        rmSync(dstPath, { force: true });
-      }
-      renameSync(indexHtml, dstPath);
-    }
-  } else {
-    logger.info(`⚠️  ${indexHtml} not found – skipping HTML processing.`);
-  }
-  optimizeWasmSize();
-}
-
-function optimizeWasmSize() {
-  logger.info('🔨 Checking WASM size...');
-  const wasmPath = resolve(publicDir, 'yachtpit_bg.wasm');
-  const fileSize = statSync(wasmPath).size;
-  const sizeInMb = fileSize / (1024 * 1024);
-
-  if (sizeInMb > 30) {
-    logger.info(`WASM size is ${sizeInMb.toFixed(2)}MB, optimizing...`);
-    execFileSync('wasm-opt', ['-Oz', '-o', wasmPath, wasmPath], {
-      encoding: 'utf-8',
-    });
-    logger.info(`✅ WASM size optimized`);
-  } else {
-    logger.info(
-      `⏩ Skipping WASM optimization, size (${sizeInMb.toFixed(2)}MB) is under 30MB threshold`,
-    );
-  }
-}
-
-function cleanup() {
-  logger.info('Running cleanup...');
-  rmSync(indexHtml, { force: true });
-  const creditsDir = resolve(`${repoRoot}/packages/client/public`, 'credits');
-  rmSync(creditsDir, { force: true, recursive: true });
-}
-
-main();
--- a/packages/client/src/components/chat/input-menu/InputMenu.tsx
+++ b/packages/client/src/components/chat/input-menu/InputMenu.tsx
@@ -8,7 +8,6 @@ import {
  MenuButton,
  MenuItem,
  MenuList,
-  Spinner,
  Text,
  useDisclosure,
  useOutsideClick,
@@ -42,38 +41,19 @@ const InputMenu: React.FC<{ isDisabled?: boolean }> = observer(({ isDisabled })

  const [controlledOpen, setControlledOpen] = useState<boolean>(false);
  const [supportedModels, setSupportedModels] = useState<any[]>([]);
-  const [isLoadingModels, setIsLoadingModels] = useState<boolean>(true);

  useEffect(() => {
    setControlledOpen(isOpen);
  }, [isOpen]);

  useEffect(() => {
-    setIsLoadingModels(true);
    fetch('/api/models')
      .then(response => response.json())
      .then(models => {
        setSupportedModels(models);
-
-        // Update the ModelStore with supported models
-        const modelIds = models.map((model: any) => model.id);
-        clientChatStore.setSupportedModels(modelIds);
-
-        // If no model is currently selected or the current model is not in the list,
-        // select a random model from the available ones
-        if (!clientChatStore.model || !modelIds.includes(clientChatStore.model)) {
-          if (models.length > 0) {
-            const randomIndex = Math.floor(Math.random() * models.length);
-            const randomModel = models[randomIndex];
-            clientChatStore.setModel(randomModel.id);
-          }
-        }
-
-        setIsLoadingModels(false);
      })
      .catch(err => {
        console.error('Could not fetch models: ', err);
-        setIsLoadingModels(false);
      });
  }, []);

@@ -128,8 +108,8 @@ const InputMenu: React.FC<{ isDisabled?: boolean }> = observer(({ isDisabled })
        <MenuButton
          as={IconButton}
          bg="text.accent"
-          icon={isLoadingModels ? <Spinner size="sm" /> : <Settings size={20} />}
-          isDisabled={isDisabled || isLoadingModels}
+          icon={<Settings size={20} />}
+          isDisabled={isDisabled}
          aria-label="Settings"
          _hover={{ bg: 'rgba(255, 255, 255, 0.2)' }}
          _focus={{ boxShadow: 'none' }}
@@ -138,8 +118,8 @@ const InputMenu: React.FC<{ isDisabled?: boolean }> = observer(({ isDisabled })
      ) : (
        <MenuButton
          as={Button}
-          rightIcon={isLoadingModels ? <Spinner size="sm" /> : <ChevronDown size={16} />}
-          isDisabled={isDisabled || isLoadingModels}
+          rightIcon={<ChevronDown size={16} />}
+          isDisabled={isDisabled}
          variant="ghost"
          display="flex"
          justifyContent="space-between"
@@ -148,7 +128,7 @@ const InputMenu: React.FC<{ isDisabled?: boolean }> = observer(({ isDisabled })
          {...MsM_commonButtonStyles}
        >
          <Text noOfLines={1} maxW="100px" fontSize="sm">
-            {isLoadingModels ? 'Loading...' : clientChatStore.model}
+            {clientChatStore.model}
          </Text>
        </MenuButton>
      )}
--- a/packages/client/src/components/landing-component/LandingComponent.tsx
+++ b/packages/client/src/components/landing-component/LandingComponent.tsx
@@ -1,5 +1,5 @@
 import { Box } from '@chakra-ui/react';
-import React, { useEffect, useLayoutEffect, useState } from 'react';
+import React, { useEffect, useState } from 'react';

 import { useComponent } from '../contexts/ComponentContext.tsx';

@@ -8,25 +8,8 @@ import Tweakbox from './Tweakbox.tsx';

 export const LandingComponent: React.FC = () => {
  const [intensity, setIntensity] = useState(0.99);
-  const [mapActive, setMapActive] = useState(true);
-  const [aiActive, setAiActive] = useState(false);
-
-  const appCtlState = `app-ctl-state`;
-
-  useLayoutEffect(() => {
-    const value = localStorage.getItem(appCtlState);
-    if (value) {
-      const parsed = JSON.parse(value);
-      setIntensity(parsed.intensity);
-      setMapActive(parsed.mapActive);
-      setAiActive(parsed.aiActive);
-    }
-  }, []);
-
-  // create a hook for saving the state as a json object when it changes
-  useEffect(() => {
-    localStorage.setItem(appCtlState, JSON.stringify({ intensity, mapActive, aiActive }));
-  });
+  const [mapActive, setMapActive] = useState(false);
+  const [aiActive, setAiActive] = useState(true);

  const component = useComponent();
  const { setEnabledComponent } = component;
@@ -38,14 +21,12 @@ export const LandingComponent: React.FC = () => {
    if (aiActive) {
      setEnabledComponent('ai');
    }
-  }, [mapActive, aiActive, setEnabledComponent]);
+  }, []);

  return (
    <Box as="section" bg="background.primary" overflow="hidden">
      <Box position="fixed" right={0} maxWidth="300px" minWidth="200px" zIndex={1000}>
        <Tweakbox
-          id="app-tweaker"
-          persist={true}
          sliders={{
            intensity: {
              value: intensity,
@@ -58,19 +39,19 @@ export const LandingComponent: React.FC = () => {
            },
          }}
          switches={{
-            GpsMap: {
-              value: mapActive,
-              onChange(enabled) {
-                if (enabled) {
-                  setEnabledComponent('gpsmap');
-                  setAiActive(false);
-                } else {
-                  setEnabledComponent('');
-                }
-                setMapActive(enabled);
-              },
-              label: 'GPS',
-            },
+            // GpsMap: {
+            //   value: mapActive,
+            //   onChange(enabled) {
+            //     if (enabled) {
+            //       setEnabledComponent('gpsmap');
+            //       setAiActive(false);
+            //     } else {
+            //       setEnabledComponent('');
+            //     }
+            //     setMapActive(enabled);
+            //   },
+            //   label: 'GPS',
+            // },
            AI: {
              value: aiActive,
              onChange(enabled) {
--- a/packages/client/src/components/landing-component/Map.tsx
+++ b/packages/client/src/components/landing-component/Map.tsx
@@ -1,8 +1,7 @@
+import ReactMap from 'react-map-gl/mapbox'; // ↔ v5+ uses this import path
 import 'mapbox-gl/dist/mapbox-gl.css';
-import { Box, Button, HStack, Input } from '@chakra-ui/react';
-import { useCallback, useEffect, useState } from 'react';
-
-import clientChatStore from '../../stores/ClientChatStore.ts';
+import { Box, HStack, Button, Input, Center } from '@chakra-ui/react';
+import { useState, useEffect, useCallback } from 'react';

 import MapNext from './MapNext.tsx';

@@ -31,175 +30,17 @@ interface AuthParams {
  token: string | null;
 }

-export type Layer = { name: string; value: string };
-export type Layers = Layer[];
-
 // public key
 const key =
  'cGsuZXlKMUlqb2laMlZ2Wm1aelpXVWlMQ0poSWpvaVkycDFOalo0YkdWNk1EUTRjRE41YjJnNFp6VjNNelp6YXlKOS56LUtzS1l0X3VGUGdCSDYwQUFBNFNn';

-const layers = [
-  { name: 'Bathymetry', value: 'mapbox://styles/geoffsee/cmd1qz39x01ga01qv5acea02y' },
-  { name: 'Satellite', value: 'mapbox://styles/mapbox/satellite-v9' },
-];
-
-function LayerSelector(props: { onClick: (e) => Promise<void> }) {
-  const [isOpen, setIsOpen] = useState(false);
-
-  return (
-    <Box position="relative">
-      <Button colorScheme="blue" size="sm" variant="solid" onClick={() => setIsOpen(!isOpen)}>
-        Layer
-      </Button>
-
-      {isOpen && (
-        <Box
-          position="absolute"
-          top="100%"
-          left={0}
-          w="200px"
-          bg="background.secondary"
-          boxShadow="md"
-          zIndex={2}
-        >
-          {layers.map(layer => (
-            <Box
-              id={layer.value}
-              p={2}
-              cursor="pointer"
-              _hover={{ bg: 'whiteAlpha.200' }}
-              onClick={async e => {
-                setIsOpen(false);
-                await props.onClick(e);
-              }}
-            >
-              {layer.name}
-            </Box>
-          ))}
-        </Box>
-      )}
-    </Box>
-  );
-}
-
 function Map(props: { visible: boolean }) {
-  const [isSearchOpen, setIsSearchOpen] = useState(false);
-  const [selectedLayer, setSelectedLayer] = useState(layers[0]);
-  const [searchInput, setSearchInput] = useState('');
-  const [searchResults, setSearchResults] = useState<any[]>([]);
-
-  // const handleSearchClick = useCallback(async () => {
-  //   console
-  // }, []);
-  //
-
-  async function selectSearchResult({ lat, lon }) {
-    // clientChatStore.mapState.latitude = searchResult.lat;
-    // clientChatStore.mapState.longitude = searchResult.lon;
-    await clientChatStore.setMapView(lon, lat, 15);
-  }
-
-  async function handleSc(e) {
-    if (isSearchOpen && searchInput.length > 1) {
-      try {
-        console.log(`trying to geocode ${searchInput}`);
-        const geocode = await fetch('https://geocode.geoffsee.com', {
-          method: 'POST',
-          mode: 'cors',
-          body: JSON.stringify({
-            location: searchInput,
-          }),
-        });
-        const coordinates = await geocode.json();
-        const { lat, lon } = coordinates;
-        console.log(`got geocode coordinates: ${coordinates}`);
-        setSearchResults([{ lat, lon }]);
-      } catch (e) {
-        // continue without
-      }
-    } else {
-      setIsSearchOpen(!isSearchOpen);
-    }
-  }
-
-  useEffect(() => {
-    console.log(selectedLayer);
-  }, [selectedLayer]);
-
-  function handleLayerChange(e) {
-    setSelectedLayer(layers.find(layer => layer.value === e.target.id));
-  }
-
  return (
    /* Full-screen wrapper — fills the viewport and becomes the positioning context */
-    <Box position={'absolute'} top={0} w="100%" h={'100vh'} overflow="hidden">
+    <Box position={'absolute'} top={0} w="100vw" h={'100vh'} overflow="hidden">
      {/* Button bar — absolutely positioned inside the wrapper */}

-      <HStack position="relative" zIndex={1}>
-        <Box display="flex" alignItems="center">
-          <Button size="sm" variant="solid" onClick={handleSc} mr={2}>
-            Search
-          </Button>
-          {isSearchOpen && (
-            <Box
-              w="200px"
-              transition="all 0.3s"
-              transform={`translateX(${isSearchOpen ? '0' : '100%'})`}
-              background="background.secondary"
-              opacity={isSearchOpen ? 1 : 0}
-              color="white"
-            >
-              <Input
-                placeholder="Search..."
-                size="sm"
-                value={searchInput}
-                onChange={e => setSearchInput(e.target.value)}
-                color="white"
-                bg="background.secondary"
-                border="none"
-                borderRadius="0"
-                _focus={{
-                  outline: 'none',
-                }}
-                _placeholder={{
-                  color: '#d1cfcf',
-                }}
-              />
-              {searchResults.length > 0 && (
-                <Box
-                  position="absolute"
-                  top="100%"
-                  left={0}
-                  w="200px"
-                  bg="background.secondary"
-                  boxShadow="md"
-                  zIndex={2}
-                >
-                  {searchResults.map((result, index) => (
-                    <Box
-                      key={index}
-                      p={2}
-                      cursor="pointer"
-                      _hover={{ bg: 'whiteAlpha.200' }}
-                      onClick={async () => {
-                        // setSearchInput(result);
-                        console.log(`selecting result ${result.lat}, ${result.lon}`);
-                        await selectSearchResult(result);
-                        setSearchResults([]);
-                        setIsSearchOpen(false);
-                      }}
-                    >
-                      {`${result.lat}, ${result.lon}`}
-                    </Box>
-                  ))}
-                </Box>
-              )}
-            </Box>
-          )}
-        </Box>
-        <LayerSelector onClick={handleLayerChange} />
-      </HStack>
-      <MapNext mapboxPublicKey={atob(key)} visible={props.visible} layer={selectedLayer} />
+      <MapNext mapboxPublicKey={atob(key)} />
      {/*<Map*/}
      {/*    mapboxAccessToken={atob(key)}*/}
      {/*    initialViewState={mapView}*/}
--- a/packages/client/src/components/landing-component/MapNext.tsx
+++ b/packages/client/src/components/landing-component/MapNext.tsx
@@ -1,6 +1,5 @@
 import { Box } from '@chakra-ui/react';
-import { observer } from 'mobx-react-lite';
-import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
+import { useCallback, useEffect, useMemo, useState } from 'react';
 import Map, {
  FullscreenControl,
  GeolocateControl,
@@ -8,42 +7,27 @@ import Map, {
  NavigationControl,
  Popup,
  ScaleControl,
-  Source,
 } from 'react-map-gl/mapbox';

-import clientChatStore from '../../stores/ClientChatStore';
-
-import type { Layer } from './Map.tsx';
 import PORTS from './nautical-base-data.json';
 import Pin from './pin';

-function MapNextComponent(
-  props: any = { mapboxPublicKey: '', visible: true, layer: {} as Layer } as any,
-) {
+export default function MapNext(props: any = { mapboxPublicKey: '' } as any) {
  const [popupInfo, setPopupInfo] = useState(null);
  const [isSearchOpen, setIsSearchOpen] = useState(false);
  const [isTokenLoading, setIsTokenLoading] = useState(false);
  const [authenticated, setAuthenticated] = useState(false);
-  const mapRef = useRef<any>(null);

  useEffect(() => {
    setAuthenticated(true);
    setIsTokenLoading(false);
  }, []);

-  // Handle map resize when component becomes visible
-  useEffect(() => {
-    if (props.visible && mapRef.current) {
-      // Small delay to ensure the container is fully visible
-      const timer = setTimeout(() => {
-        if (mapRef.current) {
-          mapRef.current.resize();
-        }
-      }, 100);
-
-      return () => clearTimeout(timer);
-    }
-  }, [props.visible]);
+  const [mapView, setMapView] = useState({
+    longitude: -122.4,
+    latitude: 37.8,
+    zoom: 14,
+  });

  const handleNavigationClick = useCallback(async () => {
    console.log('handling navigation in map');
@@ -55,10 +39,7 @@ function MapNextComponent(

  const handleMapViewChange = useCallback(async (evt: any) => {
    const { longitude, latitude, zoom } = evt.viewState;
-    clientChatStore.setMapView(longitude, latitude, zoom);
-    // setMapView({ longitude, latitude, zoom });
-
-    // Update the store with the new view state
+    setMapView({ longitude, latitude, zoom });
  }, []);

  const pins = useMemo(
@@ -117,19 +98,14 @@ Type '{ city: string; population: string; image: string; state: string; latitude
      {/*  </Button>*/}
      {/*</HStack>*/}
      <Map
-        ref={mapRef}
        initialViewState={{
-          latitude: clientChatStore.mapState.latitude,
-          longitude: clientChatStore.mapState.longitude,
-          zoom: clientChatStore.mapState.zoom,
-          bearing: clientChatStore.mapState.bearing,
-          pitch: clientChatStore.mapState.pitch,
+          latitude: 40,
+          longitude: -100,
+          zoom: 3.5,
+          bearing: 0,
+          pitch: 0,
        }}
-        viewState={clientChatStore.mapState}
-        onMove={handleMapViewChange}
-        terrain={{ source: 'mapbox-dem', exaggeration: 1.5 }}
-        maxPitch={85}
-        mapStyle={props.layer.value}
+        mapStyle="mapbox://styles/geoffsee/cmd1qz39x01ga01qv5acea02y"
        attributionControl={false}
        mapboxAccessToken={props.mapboxPublicKey}
        style={{
@@ -142,13 +118,6 @@ Type '{ city: string; population: string; image: string; state: string; latitude
          right: 0,
        }}
      >
-        <Source
-          id="mapbox-dem"
-          type="raster-dem"
-          url="mapbox://mapbox.mapbox-terrain-dem-v1"
-          tileSize={512}
-          maxzoom={14}
-        />
        <GeolocateControl position="top-left" style={{ marginTop: '6rem' }} />
        <FullscreenControl position="top-left" />
        <NavigationControl position="top-left" />
@@ -201,6 +170,3 @@ Type '{ city: string; population: string; image: string; state: string; latitude
    </Box>
  );
 }
-
-const MapNext = observer(MapNextComponent);
-export default MapNext;
--- a/packages/client/src/components/landing-component/Tweakbox.tsx
+++ b/packages/client/src/components/landing-component/Tweakbox.tsx
@@ -14,7 +14,7 @@ import {
 } from '@chakra-ui/react';
 import { ChevronDownIcon, ChevronUpIcon } from 'lucide-react';
 import { observer } from 'mobx-react-lite';
-import React, { useEffect, useState } from 'react';
+import React, { useState } from 'react';

 interface SliderControl {
  value: number;
@@ -34,8 +34,6 @@ interface SwitchControl {
 }

 interface TweakboxProps {
-  id: string;
-  persist: boolean;
  sliders: {
    speed: SliderControl;
    intensity: SliderControl;
@@ -46,7 +44,7 @@ interface TweakboxProps {
  } & Record<string, SwitchControl>;
 }

-const Tweakbox = observer(({ id, persist, sliders, switches }: TweakboxProps) => {
+const Tweakbox = observer(({ sliders, switches }: TweakboxProps) => {
  const [isCollapsed, setIsCollapsed] = useState(false);

  return (
--- a/packages/client/src/pages/index/+Page.tsx
+++ b/packages/client/src/pages/index/+Page.tsx
@@ -1,4 +1,4 @@
-import { Box, useMediaQuery } from '@chakra-ui/react';
+import { Box } from '@chakra-ui/react';
 import React, { useEffect } from 'react';

 import Chat from '../../components/chat/Chat.tsx';
@@ -21,11 +21,10 @@ export default function IndexPage() {

  const component = useComponent();

-  const mediaQuery = useMediaQuery();
-
  return (
    <Box height="100%" width="100%">
      <LandingComponent />
+
      <Box
        display={component.enabledComponent === 'ai' ? undefined : 'none'}
        width="100%"
@@ -37,8 +36,8 @@ export default function IndexPage() {
      </Box>
      <Box
        display={component.enabledComponent === 'gpsmap' ? undefined : 'none'}
-        width={{ base: '100%', md: '100%' }}
-        height={{ base: '100%', md: '100%' }}
+        width="100%"
+        height="100%"
        padding={'unset'}
      >
        <ReactMap visible={component.enabledComponent === 'gpsmap'} />
--- a/packages/client/src/renderer/routes.ts
+++ b/packages/client/src/renderer/routes.ts
@@ -1,5 +1,5 @@
 export default {
-  '/': { sidebarLabel: 'Home', heroLabel: 'gsio' },
+  '/': { sidebarLabel: 'Home', heroLabel: 'va-chat' },
  '/connect': { sidebarLabel: 'Connect', heroLabel: 'connect' },
  '/privacy-policy': {
    sidebarLabel: '',
--- a/packages/client/src/stores/ClientChatStore.ts
+++ b/packages/client/src/stores/ClientChatStore.ts
@@ -3,14 +3,13 @@
 // ---------------------------
 import { types, type Instance } from 'mobx-state-tree';

-import { MapStore } from './MapStore';
 import { MessagesStore } from './MessagesStore';
 import { ModelStore } from './ModelStore';
 import { StreamStore } from './StreamStore';
 import { UIStore } from './UIStore';

 export const ClientChatStore = types
-  .compose(MessagesStore, UIStore, ModelStore, StreamStore, MapStore)
+  .compose(MessagesStore, UIStore, ModelStore, StreamStore)
  .named('ClientChatStore');

 const clientChatStore = ClientChatStore.create();
--- a/packages/client/src/stores/MapStore.ts
+++ b/packages/client/src/stores/MapStore.ts
@@ -1,122 +0,0 @@
-import { types, type Instance } from 'mobx-state-tree';
-
-export interface MapControlCommand {
-  action: string;
-  value?: string;
-  data?: any;
-}
-
-export const MapStore = types
-  .model('MapStore', {
-    // Current map view state
-    // 37°47'21"N 122°23'52"W
-    longitude: types.optional(types.number, -87.6319),
-    latitude: types.optional(types.number, 41.883415),
-    zoom: types.optional(types.number, 14.5),
-    bearing: types.optional(types.number, 15.165878375019094),
-    pitch: types.optional(types.number, 45),
-    // Map control state
-    isControlActive: types.optional(types.boolean, false),
-  })
-  .volatile(self => ({
-    // Store pending map commands from AI
-    pendingCommands: [] as MapControlCommand[],
-    // 41.88341413374059-87.630091075785714.57273962016686450
-    mapState: {
-      latitude: self.latitude,
-      longitude: self.longitude,
-      zoom: self.zoom,
-      bearing: self.bearing,
-      pitch: self.pitch,
-    } as any,
-  }))
-  .actions(self => ({
-    // Update map view state
-    setMapView(longitude: number, latitude: number, zoom: number) {
-      console.log(latitude, longitude, zoom, self.mapState.pitch, self.mapState.bearing);
-      self.longitude = longitude;
-      self.latitude = latitude;
-      self.zoom = zoom;
-
-      // Also update the mapState object to keep it in sync
-      self.mapState = {
-        ...self.mapState,
-        longitude,
-        latitude,
-        zoom,
-      };
-    },
-
-    // Handle map control commands from AI
-    executeMapCommand(command: MapControlCommand) {
-      console.log('[DEBUG_LOG] Executing map command:', command);
-
-      switch (command.action) {
-        case 'zoom_to': {
-          if (command.data?.target) {
-            // For now, we'll implement a simple zoom behavior
-            // In a real implementation, this could parse coordinates or location names
-            const zoomLevel = 10; // Default zoom level for zoom_to commands
-            self.zoom = zoomLevel;
-            console.log('[DEBUG_LOG] Zoomed to level:', zoomLevel);
-          }
-          break;
-        }
-
-        case 'add_point': {
-          if (command.data?.pointId) {
-            console.log('[DEBUG_LOG] Adding point:', command.data.pointId);
-            // Point addition logic would go here
-          }
-          break;
-        }
-
-        case 'add_dataset':
-        case 'remove_dataset': {
-          if (command.data?.datasetId) {
-            console.log('[DEBUG_LOG] Dataset operation:', command.action, command.data.datasetId);
-            // Dataset management logic would go here
-          }
-          break;
-        }
-
-        case 'search_datasets': {
-          console.log('[DEBUG_LOG] Searching datasets:', command.data?.searchTerm);
-          // Dataset search logic would go here
-          break;
-        }
-
-        default:
-          console.warn('[DEBUG_LOG] Unknown map command:', command.action);
-      }
-
-      self.isControlActive = true;
-
-      // Clear the command after a short delay
-      setTimeout(() => {
-        self.isControlActive = false;
-      }, 1000);
-    },
-
-    // Add a command to the pending queue
-    addPendingCommand(command: MapControlCommand) {
-      self.pendingCommands.push(command);
-    },
-
-    // Process all pending commands
-    processPendingCommands() {
-      while (self.pendingCommands.length > 0) {
-        const command = self.pendingCommands.shift();
-        if (command) {
-          this.executeMapCommand(command);
-        }
-      }
-    },
-
-    // Clear all pending commands
-    clearPendingCommands() {
-      self.pendingCommands.splice(0);
-    },
-  }));
-
-export type IMapStore = Instance<typeof MapStore>;
--- a/packages/client/src/stores/StreamStore.ts
+++ b/packages/client/src/stores/StreamStore.ts
@@ -2,8 +2,6 @@ import { flow, getParent, type Instance, types } from 'mobx-state-tree';

 import Message, { batchContentUpdate } from '../models/Message';

-import clientChatStore from './ClientChatStore.ts';
-import type { MapControlCommand } from './MapStore';
 import type { RootDeps } from './RootDeps.ts';
 import UserOptionsStore from './UserOptionsStore';

@@ -94,30 +92,6 @@ export const StreamStore = types
              return;
            }

-            // Handle tool call responses
-            if (parsed.type === 'tool_result') {
-              console.log('[DEBUG_LOG] Received tool result:', parsed);
-
-              // Check if this is a map control tool call
-              if (parsed.tool_name === 'maps_control' && parsed.result?.data) {
-                const mapCommand: MapControlCommand = {
-                  action: parsed.result.data.action,
-                  value: parsed.args?.value,
-                  data: parsed.result.data,
-                };
-
-                console.log('[DEBUG_LOG] Processing map command:', mapCommand);
-
-                // Execute the map command through the store
-                if ('executeMapCommand' in root) {
-                  (root as any).executeMapCommand(mapCommand);
-                } else {
-                  console.warn('[DEBUG_LOG] MapStore not available in root');
-                }
-              }
-              return;
-            }
-
            // Get the last message
            const lastMessage = root.items[root.items.length - 1];

@@ -178,4 +152,4 @@ export const StreamStore = types
    return { sendMessage, stopIncomingMessage, cleanup, setEventSource, setStreamId };
  });

-export type IStreamStore = Instance<typeof StreamStore>;
+export interface IStreamStore extends Instance<typeof StreamStore> {}
--- a/packages/server/src/server/asset-handler.ts
+++ b/packages/server/src/server/asset-handler.ts
@@ -0,0 +1,53 @@
+import { readdir } from 'node:fs/promises';
+
+export const assetHandler = {
+  ASSETS: {
+    /**
+     * Fetches the requested static asset from local dist
+     *
+     * @param {Request} request - The incoming Fetch API Request object.
+     * @returns {Promise<Response>} A Promise that resolves with the Response for the requested asset,
+     *                              or a 404 Response if the asset is not found or an error occurs.
+     */
+    async fetch(request: Request): Promise<Response> {
+      // Serialize incoming request URL
+      const originalUrl = new URL(request.url);
+      const url = new URL(request.url);
+
+      // Fixed path: go up to packages level, then to client/public
+      const PUBLIC_DIR = new URL('../../../client/public/', import.meta.url).pathname;
+
+      let publicFiles: string[] = [];
+      try {
+        publicFiles = await readdir(PUBLIC_DIR, { recursive: true });
+      } catch (error) {
+        console.warn(`Could not read public directory ${PUBLIC_DIR}:`, error);
+        // Continue without public files list
+      }
+
+      // Get the filename from pathname and remove any path traversal attempts
+      const filename = url.pathname.split('/').pop()?.replace(/\.\./g, '') || '';
+
+      const isStatic = publicFiles.some(file => file === filename);
+
+      if (url.pathname === '/') {
+        url.pathname = '/index.html';
+      } else if (isStatic && !url.pathname.startsWith('/static')) {
+        // leave it alone
+      } else if (isStatic) {
+        url.pathname = `/static${url.pathname}`;
+      }
+
+      // Fixed path: go up to packages level, then to client/dist/client
+      const dist = new URL('../../../client/dist/client', import.meta.url).pathname;
+
+      try {
+        return new Response(Bun.file(`${dist}${url.pathname}`));
+      } catch (error) {
+        // Log the error with the original requested path
+        console.error(`Error reading asset from path ${originalUrl.pathname}:`, error);
+        return new Response(null, { status: 404 });
+      }
+    },
+  },
+};
--- a/packages/server/src/server/create-server.ts
+++ b/packages/server/src/server/create-server.ts
@@ -0,0 +1,61 @@
+import ServerCoordinator from '@open-gsio/coordinators/src/ServerCoordinatorBun.ts';
+import Router from '@open-gsio/router';
+import { config } from 'dotenv';
+import type { RequestLike } from 'itty-router';
+import { error } from 'itty-router';
+
+import { BunSqliteKVNamespace } from '../storage/BunSqliteKVNamespace.ts';
+
+import { assetHandler } from './asset-handler.ts';
+
+export function createServer() {
+  const router = Router.Router();
+  config({
+    path: '.env',
+    debug: true,
+    // defaults: {
+    //     EVENTSOURCE_HOST: "https://eventsource.seemueller.io",
+    // }
+  });
+
+  // bootstrap the root path of the existing router to the asset handler defined here
+  router.get('/', async (request: RequestLike, env: any) => {
+    return await assetHandler.ASSETS.fetch(request as Request);
+  });
+
+  const server = {
+    port: 3003,
+    fetch: async (request: RequestLike, env: { [key: string]: any }, ctx: any) => {
+      // console.log("[trace] request: ", request.method, request.url, "headers: ", request.headers.get("referer"), "body: ", request.body, "env: ", env, "ctx: ", ctx, "")
+
+      env['SERVER_COORDINATOR'] = ServerCoordinator;
+      env['ASSETS'] = assetHandler.ASSETS;
+      env['EVENTSOURCE_HOST'] = process.env.EVENTSOURCE_HOST;
+      env['GROQ_API_KEY'] = process.env.GROQ_API_KEY;
+      env['ANTHROPIC_API_KEY'] = process.env.ANTHROPIC_API_KEY;
+      env['FIREWORKS_API_KEY'] = process.env.FIREWORKS_API_KEY;
+      env['XAI_API_KEY'] = process.env.XAI_API_KEY;
+      env['CEREBRAS_API_KEY'] = process.env.CEREBRAS_API_KEY;
+      env['CLOUDFLARE_API_KEY'] = process.env.CLOUDFLARE_API_KEY;
+      env['CLOUDFLARE_ACCOUNT_ID'] = process.env.CLOUDFLARE_ACCOUNT_ID;
+      env['MLX_API_KEY'] = process.env.MLX_API_KEY;
+      env['OLLAMA_API_KEY'] = process.env.OLLAMA_API_KEY;
+      env['KV_STORAGE'] = new BunSqliteKVNamespace({ namespace: 'open-gsio' });
+
+      try {
+        const controller = new AbortController();
+        const timeout = new Promise((_, reject) =>
+          setTimeout(() => {
+            controller.abort();
+            reject(new Error('Request timeout after 5s'));
+          }, 5000),
+        );
+        return await Promise.race([router.fetch(request, env, ctx).catch(error), timeout]);
+      } catch (e) {
+        console.error('Error handling request:', e);
+        return new Response('Server Error', { status: 500 });
+      }
+    },
+  };
+  return { server, router, assetHandler };
+}
--- a/packages/server/src/server/server.ts
+++ b/packages/server/src/server/server.ts
@@ -1,111 +1,6 @@
-import { readdir } from 'node:fs/promises';
+import { createServer } from './create-server.ts';

-import ServerCoordinator from '@open-gsio/coordinators/src/ServerCoordinatorBun.ts';
-import Router from '@open-gsio/router';
-import { config } from 'dotenv';
-import type { RequestLike } from 'itty-router';
-import { error } from 'itty-router';
+// creates a bun server with the itty router
+const { server } = createServer();

-import { BunSqliteKVNamespace } from '../storage/BunSqliteKVNamespace.ts';
-
-const router = Router.Router();
-
-config({
-  path: '.env',
-  debug: true,
-  // defaults: {
-  //     EVENTSOURCE_HOST: "https://eventsource.seemueller.io",
-  // }
-});
-
-// bootstrap the root path of the existing router to the asset handler defined here
-router.get('/', async (request: RequestLike, env: any) => {
-  return await assetHandler.ASSETS.fetch(request as Request);
-});
-
-export default {
-  port: 3003,
-  fetch: async (request: RequestLike, env: { [key: string]: any }, ctx: any) => {
-    // console.log("[trace] request: ", request.method, request.url, "headers: ", request.headers.get("referer"), "body: ", request.body, "env: ", env, "ctx: ", ctx, "")
-
-    env['SERVER_COORDINATOR'] = ServerCoordinator;
-    env['ASSETS'] = assetHandler.ASSETS;
-    env['EVENTSOURCE_HOST'] = process.env.EVENTSOURCE_HOST;
-    env['GROQ_API_KEY'] = process.env.GROQ_API_KEY;
-    env['ANTHROPIC_API_KEY'] = process.env.ANTHROPIC_API_KEY;
-    env['FIREWORKS_API_KEY'] = process.env.FIREWORKS_API_KEY;
-    env['XAI_API_KEY'] = process.env.XAI_API_KEY;
-    env['CEREBRAS_API_KEY'] = process.env.CEREBRAS_API_KEY;
-    env['CLOUDFLARE_API_KEY'] = process.env.CLOUDFLARE_API_KEY;
-    env['CLOUDFLARE_ACCOUNT_ID'] = process.env.CLOUDFLARE_ACCOUNT_ID;
-    env['MLX_API_KEY'] = process.env.MLX_API_KEY;
-    env['OLLAMA_API_KEY'] = process.env.OLLAMA_API_KEY;
-    env['KV_STORAGE'] = new BunSqliteKVNamespace({ namespace: 'open-gsio' });
-
-    try {
-      const controller = new AbortController();
-      const timeout = new Promise((_, reject) =>
-        setTimeout(() => {
-          controller.abort();
-          reject(new Error('Request timeout after 5s'));
-        }, 5000),
-      );
-      return await Promise.race([router.fetch(request, env, ctx).catch(error), timeout]);
-    } catch (e) {
-      console.error('Error handling request:', e);
-      return new Response('Server Error', { status: 500 });
-    }
-  },
-};
-
-export const assetHandler = {
-  ASSETS: {
-    /**
-     * Fetches the requested static asset from local dist
-     *
-     * @param {Request} request - The incoming Fetch API Request object.
-     * @returns {Promise<Response>} A Promise that resolves with the Response for the requested asset,
-     *                              or a 404 Response if the asset is not found or an error occurs.
-     */
-    async fetch(request: Request): Promise<Response> {
-      // Serialize incoming request URL
-      const originalUrl = new URL(request.url);
-      const url = new URL(request.url);
-
-      // Fixed path: go up to packages level, then to client/public
-      const PUBLIC_DIR = new URL('../../../client/public/', import.meta.url).pathname;
-
-      let publicFiles: string[] = [];
-      try {
-        publicFiles = await readdir(PUBLIC_DIR, { recursive: true });
-      } catch (error) {
-        console.warn(`Could not read public directory ${PUBLIC_DIR}:`, error);
-        // Continue without public files list
-      }
-
-      // Get the filename from pathname and remove any path traversal attempts
-      const filename = url.pathname.split('/').pop()?.replace(/\.\./g, '') || '';
-
-      const isStatic = publicFiles.some(file => file === filename);
-
-      if (url.pathname === '/') {
-        url.pathname = '/index.html';
-      } else if (isStatic && !url.pathname.startsWith('/static')) {
-        // leave it alone
-      } else if (isStatic) {
-        url.pathname = `/static${url.pathname}`;
-      }
-
-      // Fixed path: go up to packages level, then to client/dist/client
-      const dist = new URL('../../../client/dist/client', import.meta.url).pathname;
-
-      try {
-        return new Response(Bun.file(`${dist}${url.pathname}`));
-      } catch (error) {
-        // Log the error with the original requested path
-        console.error(`Error reading asset from path ${originalUrl.pathname}:`, error);
-        return new Response(null, { status: 404 });
-      }
-    },
-  },
-};
+export default server;
--- a/packages/services/src/chat-service/ChatService.ts
+++ b/packages/services/src/chat-service/ChatService.ts
@@ -161,19 +161,29 @@ const ChatService = types

          const openai = new OpenAI({ apiKey: provider.key, baseURL: provider.endpoint });

-          // 2‑a. List models
+          const basicFilters = (model: any) => {
+            return (
+              !model.id.includes('whisper') &&
+              !model.id.includes('flux') &&
+              !model.id.includes('ocr') &&
+              !model.id.includes('tts') &&
+              !model.id.includes('guard')
+            );
+          }; // 2‑a. List models
          try {
            const listResp: any = yield openai.models.list(); // <‑‑ async
            const models = 'data' in listResp ? listResp.data : listResp;

            providerModels.set(
              provider.name,
-              models.filter(
-                (mdl: any) =>
-                  !mdl.id.includes('whisper') &&
-                  !mdl.id.includes('tts') &&
-                  !mdl.id.includes('guard'),
-              ),
+              models.filter((mdl: any) => {
+                if ('supports_chat' in mdl && mdl.supports_chat) {
+                  return basicFilters(mdl);
+                } else if ('supports_chat' in mdl && !mdl.supports_chat) {
+                  return false;
+                }
+                return basicFilters(mdl);
+              }),
            );

            // 2‑b. Retrieve metadata
@@ -183,7 +193,7 @@ const ChatService = types
                modelMeta.set(mdl.id, { ...mdl, ...meta });
              } catch (err) {
                // logger.error(`Metadata fetch failed for ${mdl.id}`, err);
-                modelMeta.set(mdl.id, { provider: provider.name, ...mdl });
+                modelMeta.set(mdl.id, { provider: provider.name, mdl });
              }
            }
          } catch (err) {
@@ -277,23 +287,8 @@ const ChatService = types
      }) {
        const { streamConfig, streamParams, controller, encoder, streamId } = params;

-        // eslint-disable-next-line prettier/prettier
-        console.log(
-          `[DEBUG_LOG] ChatService.runModelHandler: Processing model "${streamConfig.model}" for stream ${streamId}`,
-        );
-
        const modelFamily = await ProviderRepository.getModelFamily(streamConfig.model, self.env);

-        // eslint-disable-next-line prettier/prettier
-        console.log(
-          `[DEBUG_LOG] ChatService.runModelHandler: Detected model family "${modelFamily}" for model "${streamConfig.model}"`,
-        );
-        // eslint-disable-next-line prettier/prettier
-        console.log(
-          '[DEBUG_LOG] ChatService.runModelHandler: Available model handlers:',
-          Object.keys(modelHandlers),
-        );
-
        const useModelHandler = () => {
          // @ts-expect-error - language server does not have enough information to validate modelFamily as an indexer for modelHandlers
          return modelHandlers[modelFamily];
@@ -302,28 +297,9 @@ const ChatService = types
        const handler = useModelHandler();

        if (handler) {
-          // eslint-disable-next-line prettier/prettier
-          console.log(
-            `[DEBUG_LOG] ChatService.runModelHandler: Found handler for model family "${modelFamily}"`,
-          );
-          // eslint-disable-next-line prettier/prettier
-          console.log(
-            `[DEBUG_LOG] ChatService.runModelHandler: Calling handler for model "${streamConfig.model}" with maxTokens: ${streamParams.maxTokens}`,
-          );
-
          try {
            await handler(streamParams, Common.Utils.handleStreamData(controller, encoder));
-            // eslint-disable-next-line prettier/prettier
-            console.log(
-              `[DEBUG_LOG] ChatService.runModelHandler: Successfully completed handler for model "${streamConfig.model}"`,
-            );
          } catch (error: any) {
-            // eslint-disable-next-line prettier/prettier
-            console.log(
-              `[DEBUG_LOG] ChatService.runModelHandler: Handler error for model "${streamConfig.model}":`,
-              error.message,
-            );
-
            const message = error.message.toLowerCase();

            if (
@@ -352,80 +328,11 @@ const ChatService = types
              );
            }
            if (message.includes('404')) {
-              // Try to find a fallback model from the same provider
-              try {
-                // eslint-disable-next-line prettier/prettier
-                console.log(
-                  `[DEBUG_LOG] ChatService.runModelHandler: Model "${streamConfig.model}" not found, attempting fallback`,
-                );
-
-                const allModels = await self.env.KV_STORAGE.get('supportedModels');
-                const models = JSON.parse(allModels);
-
-                // Find all models from the same provider
-                const sameProviderModels = models.filter(
-                  (m: any) => m.provider === modelFamily && m.id !== streamConfig.model,
-                );
-
-                if (sameProviderModels.length > 0) {
-                  // Try the first available model from the same provider
-                  const fallbackModel = sameProviderModels[0];
-                  // eslint-disable-next-line prettier/prettier
-                  console.log(
-                    `[DEBUG_LOG] ChatService.runModelHandler: Trying fallback model "${fallbackModel.id}" from provider "${modelFamily}"`,
-                  );
-
-                  // Update streamParams with the fallback model
-                  const fallbackStreamParams = { ...streamParams, model: fallbackModel.id };
-
-                  // Try the fallback model
-                  await handler(
-                    fallbackStreamParams,
-                    Common.Utils.handleStreamData(controller, encoder),
-                  );
-                  // eslint-disable-next-line prettier/prettier
-                  console.log(
-                    `[DEBUG_LOG] ChatService.runModelHandler: Successfully completed handler with fallback model "${fallbackModel.id}"`,
-                  );
-                  return; // Success with fallback
-                } else {
-                  // eslint-disable-next-line prettier/prettier
-                  console.log(
-                    `[DEBUG_LOG] ChatService.runModelHandler: No fallback models available for provider "${modelFamily}"`,
-                  );
-                }
-              } catch (fallbackError: any) {
-                // eslint-disable-next-line prettier/prettier
-                console.log(
-                  `[DEBUG_LOG] ChatService.runModelHandler: Fallback attempt failed:`,
-                  fallbackError.message,
-                );
-              }
-
-              throw new ClientError(
-                `Model not found or unavailable. Please try a different model.`,
-                404,
-                {
-                  model: streamConfig.model,
-                },
-              );
+              console.log(message);
+              throw new ClientError(`Something went wrong, try again.`, 404, {});
            }
            throw error;
          }
-        } else {
-          // eslint-disable-next-line prettier/prettier
-          console.log(
-            `[DEBUG_LOG] ChatService.runModelHandler: No handler found for model family "${modelFamily}" (model: "${streamConfig.model}")`,
-          );
-          throw new ClientError(
-            `No handler available for model family "${modelFamily}". Model: "${streamConfig.model}"`,
-            500,
-            {
-              model: streamConfig.model,
-              modelFamily: modelFamily,
-              availableHandlers: Object.keys(modelHandlers),
-            },
-          );
        }
      },

@@ -437,27 +344,11 @@ const ChatService = types
      }) {
        const { streamId, streamConfig, savedStreamConfig, durableObject } = params;

-        // eslint-disable-next-line prettier/prettier
-        console.log(
-          `[DEBUG_LOG] ChatService.createSseReadableStream: Creating stream ${streamId} for model "${streamConfig.model}"`,
-        );
-        // eslint-disable-next-line prettier/prettier
-        console.log(`[DEBUG_LOG] ChatService.createSseReadableStream: Stream config:`, {
-          model: streamConfig.model,
-          systemPrompt: streamConfig.systemPrompt?.substring(0, 100) + '...',
-          messageCount: streamConfig.messages?.length,
-        });
-
        return new ReadableStream({
          async start(controller) {
            const encoder = new TextEncoder();

            try {
-              // eslint-disable-next-line prettier/prettier
-              console.log(
-                `[DEBUG_LOG] ChatService.createSseReadableStream: Starting stream processing for ${streamId}`,
-              );
-
              const dynamicContext = Schema.Message.create(streamConfig.preprocessedContext);

              // Process the stream data using the appropriate handler
@@ -467,16 +358,6 @@ const ChatService = types
                durableObject,
              );

-              // eslint-disable-next-line prettier/prettier
-              console.log(
-                `[DEBUG_LOG] ChatService.createSseReadableStream: Created stream params for ${streamId}:`,
-                {
-                  model: streamParams.model,
-                  maxTokens: streamParams.maxTokens,
-                  messageCount: streamParams.messages?.length,
-                },
-              );
-
              await self.runModelHandler({
                streamConfig,
                streamParams,
@@ -485,11 +366,6 @@ const ChatService = types
                streamId,
              });
            } catch (error) {
-              // eslint-disable-next-line prettier/prettier
-              console.log(
-                `[DEBUG_LOG] ChatService.createSseReadableStream: Error in stream ${streamId}:`,
-                error,
-              );
              console.error(`chatService::handleSseStream::${streamId}::Error`, error);

              if (error instanceof ClientError) {
@@ -511,10 +387,6 @@ const ChatService = types
              controller.close();
            } finally {
              try {
-                // eslint-disable-next-line prettier/prettier
-                console.log(
-                  `[DEBUG_LOG] ChatService.createSseReadableStream: Closing stream ${streamId}`,
-                );
                controller.close();
              } catch (_) {
                // Ignore errors when closing the controller, as it might already be closed
@@ -527,53 +399,21 @@ const ChatService = types
      handleSseStream: flow(function* (
        streamId: string,
      ): Generator<Promise<string>, Response, unknown> {
-        // eslint-disable-next-line prettier/prettier
-        console.log(
-          `[DEBUG_LOG] ChatService.handleSseStream: Handling SSE stream request for ${streamId}`,
-        );
-
        // Check if a stream is already active for this ID
        if (self.activeStreams.has(streamId)) {
-          // eslint-disable-next-line prettier/prettier
-          console.log(
-            `[DEBUG_LOG] ChatService.handleSseStream: Stream ${streamId} already active, returning 409`,
-          );
          return new Response('Stream already active', { status: 409 });
        }

-        // eslint-disable-next-line prettier/prettier
-        console.log(
-          `[DEBUG_LOG] ChatService.handleSseStream: Retrieving stream configuration for ${streamId}`,
-        );
-
        // Retrieve the stream configuration from the durable object
        const objectId = self.env.SERVER_COORDINATOR.idFromName('stream-index');
        const durableObject = self.env.SERVER_COORDINATOR.get(objectId);
        const savedStreamConfig: any = yield durableObject.getStreamData(streamId);

        if (!savedStreamConfig) {
-          // eslint-disable-next-line prettier/prettier
-          console.log(
-            `[DEBUG_LOG] ChatService.handleSseStream: No stream configuration found for ${streamId}, returning 404`,
-          );
          return new Response('Stream not found', { status: 404 });
        }

        const streamConfig = JSON.parse(savedStreamConfig);
-        // eslint-disable-next-line prettier/prettier
-        console.log(
-          `[DEBUG_LOG] ChatService.handleSseStream: Retrieved stream config for ${streamId}:`,
-          {
-            model: streamConfig.model,
-            messageCount: streamConfig.messages?.length,
-            systemPrompt: streamConfig.systemPrompt?.substring(0, 100) + '...',
-          },
-        );
-
-        // eslint-disable-next-line prettier/prettier
-        console.log(
-          `[DEBUG_LOG] ChatService.handleSseStream: Creating SSE readable stream for ${streamId}`,
-        );

        const stream = self.createSseReadableStream({
          streamId,
@@ -585,37 +425,18 @@ const ChatService = types
        // Use `tee()` to create two streams: one for processing and one for the response
        const [processingStream, responseStream] = stream.tee();

-        // eslint-disable-next-line prettier/prettier
-        console.log(
-          `[DEBUG_LOG] ChatService.handleSseStream: Setting active stream for ${streamId}`,
-        );
-
        self.setActiveStream(streamId, {
          ...streamConfig,
        });

-        // eslint-disable-next-line prettier/prettier
-        console.log(
-          `[DEBUG_LOG] ChatService.handleSseStream: Setting up processing stream pipeline for ${streamId}`,
-        );
-
        processingStream.pipeTo(
          new WritableStream({
            close() {
-              // eslint-disable-next-line prettier/prettier
-              console.log(
-                `[DEBUG_LOG] ChatService.handleSseStream: Processing stream closed for ${streamId}, removing active stream`,
-              );
              self.removeActiveStream(streamId);
            },
          }),
        );

-        // eslint-disable-next-line prettier/prettier
-        console.log(
-          `[DEBUG_LOG] ChatService.handleSseStream: Returning response stream for ${streamId}`,
-        );
-
        // Return the second stream as the response
        return new Response(responseStream, {
          headers: {
Author	SHA1	Message	Date
geoffsee	9810f67af0	Refine tool call execution logic in `chat-stream-provider` to prevent duplicates, enhance retries for `agentic-rag`, and improve incremental processing, including test updates.	2025-07-31 18:26:42 -04:00
geoffsee	6c433581d3	Add Agentic RAG Tool integration with test cases - Implemented intelligent retrieval-augmented generation system (`agentic_rag`) for dynamic decision-making on knowledge retrieval. - Uses Milvus with a large dataset - Added comprehensive test cases for query analysis, storage, retrieval, and error handling. - Integrated `AgenticRAGTools` into `chat-stream-provider` enabling tool-based responses. - Updated dependencies with `@zilliz/milvus2-sdk-node` for Milvus integration. - Updated lander hero title.	2025-07-31 16:15:23 -04:00
geoffsee	ae6a6e4064	Refactor model filtering logic into reusable `basicFilters` function.	2025-07-31 10:10:35 -04:00
geoffsee	67483d08db	Update model path handling logic for FireworksAI and refine supported model filtering.	2025-07-27 12:30:47 -04:00
geoffsee	53268b528d	Update hero label for home route in renderer routes.	2025-07-27 09:32:46 -04:00
geoffsee	f9d5fc8282	Remove unused submodules and related scripts	2025-07-27 09:00:25 -04:00