diff --git a/README.md b/README.md
index 8e0f518f7..c78c5a42f 100644
--- a/README.md
+++ b/README.md
@@ -68,7 +68,7 @@ Now you can open the browser of your choice and open `http://127.0.0.1:8000`.
 
 - OpenAI
 - Anthropic
-- Google (Gemini, PaLM2)
+- Google Gemini
 - DeepSeek
 - HuggingFace (Inference and Endpoints)
 - Together.ai
diff --git a/chainforge/react-server/package-lock.json b/chainforge/react-server/package-lock.json
index 64621179e..57ab72576 100644
--- a/chainforge/react-server/package-lock.json
+++ b/chainforge/react-server/package-lock.json
@@ -15,8 +15,7 @@
         "@emoji-mart/data": "^1.1.2",
         "@emoji-mart/react": "^1.1.1",
         "@fontsource/geist-mono": "^5.0.1",
-        "@google-ai/generativelanguage": "^0.2.0",
-        "@google/generative-ai": "^0.21.0",
+        "@google/genai": "^1.19.0",
         "@mantine/core": "^6.0.9",
         "@mantine/dates": "^6.0.13",
         "@mantine/dropzone": "^6.0.19",
@@ -68,7 +67,7 @@
         "lz-string": "^1.5.0",
         "mantine-contextmenu": "^6.1.0",
         "mantine-react-table": "^1.3.4",
-        "markdown-it": "^13.0.1",
+        "markdown-it": "^13.0.2",
         "mathjs": "^11.8.2",
         "mdast-util-from-markdown": "^2.0.0",
         "net": "^1.0.2",
@@ -110,6 +109,7 @@
       "devDependencies": {
         "@craco/craco": "^7.1.0",
         "@types/lodash": "^4.17.0",
+        "@types/markdown-it": "^14.1.2",
         "@types/papaparse": "^5.3.14",
         "@types/react-beautiful-dnd": "^13.1.8",
         "@types/react-edit-text": "^5.0.4",
@@ -3776,52 +3776,140 @@
         "node": ">=16.15"
       }
     },
-    "node_modules/@google-ai/generativelanguage": {
-      "version": "0.2.1",
-      "resolved": "https://registry.npmjs.org/@google-ai/generativelanguage/-/generativelanguage-0.2.1.tgz",
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+    "node_modules/@google/genai": {
+      "version": "1.19.0",
+      "resolved": "https://registry.npmjs.org/@google/genai/-/genai-1.19.0.tgz",
+      "integrity": "sha512-mIMV3M/KfzzFA//0fziK472wKBJ1TdJLhozIUJKTPLyTDN1NotU+hyoHW/N0cfrcEWUK20YA0GxCeHC4z0SbMA==",
       "dependencies": {
-        "google-gax": "^3.5.8"
+        "google-auth-library": "^9.14.2",
+        "ws": "^8.18.0"
       },
       "engines": {
-        "node": ">=12.0.0"
+        "node": ">=20.0.0"
+      },
+      "peerDependencies": {
+        "@modelcontextprotocol/sdk": "^1.11.4"
+      },
+      "peerDependenciesMeta": {
+        "@modelcontextprotocol/sdk": {
+          "optional": true
+        }
       }
     },
-    "node_modules/@google/generative-ai": {
-      "version": "0.21.0",
-      "resolved": "https://registry.npmjs.org/@google/generative-ai/-/generative-ai-0.21.0.tgz",
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+    "node_modules/@google/genai/node_modules/agent-base": {
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+      "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-7.1.4.tgz",
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+      "license": "MIT",
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+        "node": ">= 14"
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+        "extend": "^3.0.2",
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+      "license": "MIT",
+      "dependencies": {
+        "gaxios": "^6.0.0",
+        "jws": "^4.0.0"
+      },
+      "engines": {
+        "node": ">=14.0.0"
+      }
+    },
+    "node_modules/@google/genai/node_modules/https-proxy-agent": {
+      "version": "7.0.6",
+      "resolved": "https://registry.npmjs.org/https-proxy-agent/-/https-proxy-agent-7.0.6.tgz",
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+      "license": "MIT",
+      "dependencies": {
+        "agent-base": "^7.1.2",
+        "debug": "4"
+      },
+      "engines": {
+        "node": ">= 14"
+      }
+    },
+    "node_modules/@google/genai/node_modules/uuid": {
+      "version": "9.0.1",
+      "resolved": "https://registry.npmjs.org/uuid/-/uuid-9.0.1.tgz",
+      "integrity": "sha512-b+1eJOlsR9K8HJpow9Ok3fiWOWSIcIzXodvv0rQjVoOVNpWMpxf1wZNpt4y9h10odCNrqnYp1OBzRktckBe3sA==",
+      "funding": [
+        "https://github.com/sponsors/broofa",
+        "https://github.com/sponsors/ctavan"
+      ],
+      "license": "MIT",
+      "bin": {
+        "uuid": "dist/bin/uuid"
+      }
+    },
+    "node_modules/@google/genai/node_modules/ws": {
+      "version": "8.18.3",
+      "resolved": "https://registry.npmjs.org/ws/-/ws-8.18.3.tgz",
+      "integrity": "sha512-PEIGCY5tSlUt50cqyMXfCzX+oOPqN0vuGqWzbcJ2xvnkzkq46oOpz7dQaTDBdfICb4N14+GARUDw2XV2N4tvzg==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=10.0.0"
+      },
+      "peerDependencies": {
+        "bufferutil": "^4.0.1",
+        "utf-8-validate": ">=5.0.2"
+      },
+      "peerDependenciesMeta": {
+        "bufferutil": {
+          "optional": true
+        },
+        "utf-8-validate": {
+          "optional": true
+        }
       }
     },
     "node_modules/@humanwhocodes/config-array": {
@@ -4426,17 +4514,6 @@
         "@jridgewell/sourcemap-codec": "^1.4.14"
       }
     },
-    "node_modules/@jsdoc/salty": {
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-      "resolved": "https://registry.npmjs.org/@jsdoc/salty/-/salty-0.2.5.tgz",
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@@ -4902,60 +4979,6 @@
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@@ -6910,9 +6924,10 @@
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+      "dev": true
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@@ -6920,18 +6935,14 @@
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-        "@types/mdurl": "*"
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-        "esgenerate": "bin/esgenerate.js"
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-      "optionalDependencies": {
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-      "resolved": "https://registry.npmjs.org/estraverse/-/estraverse-4.3.0.tgz",
-      "integrity": "sha512-39nnKffWz8xN1BU/2c79n9nB9HDzo0niYUqx6xyqUnyoAnQyyWpOTdZEeiCch8BBu515t4wp9ZmgVfVhn9EBpw==",
-      "engines": {
-        "node": ">=4.0"
-      }
-    },
-    "node_modules/protobufjs-cli/node_modules/glob": {
-      "version": "8.1.0",
-      "resolved": "https://registry.npmjs.org/glob/-/glob-8.1.0.tgz",
-      "integrity": "sha512-r8hpEjiQEYlF2QU0df3dS+nxxSIreXQS1qRhMJM0Q5NDdR386C7jb7Hwwod8Fgiuex+k0GFjgft18yvxm5XoCQ==",
-      "dependencies": {
-        "fs.realpath": "^1.0.0",
-        "inflight": "^1.0.4",
-        "inherits": "2",
-        "minimatch": "^5.0.1",
-        "once": "^1.3.0"
-      },
-      "engines": {
-        "node": ">=12"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/isaacs"
-      }
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-      "version": "0.3.0",
-      "resolved": "https://registry.npmjs.org/levn/-/levn-0.3.0.tgz",
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-        "type-check": "~0.3.2"
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-      "engines": {
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-      }
-    },
-    "node_modules/protobufjs-cli/node_modules/minimatch": {
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-      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-5.1.6.tgz",
-      "integrity": "sha512-lKwV/1brpG6mBUFHtb7NUmtABCb2WZZmm2wNiOA5hAb8VdCS4B3dtMWyvcoViccwAW/COERjXLt0zP1zXUN26g==",
-      "dependencies": {
-        "brace-expansion": "^2.0.1"
-      },
-      "engines": {
-        "node": ">=10"
-      }
-    },
-    "node_modules/protobufjs-cli/node_modules/optionator": {
-      "version": "0.8.3",
-      "resolved": "https://registry.npmjs.org/optionator/-/optionator-0.8.3.tgz",
-      "integrity": "sha512-+IW9pACdk3XWmmTXG8m3upGUJst5XRGzxMRjXzAuJ1XnIFNvfhjjIuYkDvysnPQ7qzqVzLt78BCruntqRhWQbA==",
-      "dependencies": {
-        "deep-is": "~0.1.3",
-        "fast-levenshtein": "~2.0.6",
-        "levn": "~0.3.0",
-        "prelude-ls": "~1.1.2",
-        "type-check": "~0.3.2",
-        "word-wrap": "~1.2.3"
-      },
-      "engines": {
-        "node": ">= 0.8.0"
-      }
-    },
-    "node_modules/protobufjs-cli/node_modules/prelude-ls": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/prelude-ls/-/prelude-ls-1.1.2.tgz",
-      "integrity": "sha512-ESF23V4SKG6lVSGZgYNpbsiaAkdab6ZgOxe52p7+Kid3W3u3bxR4Vfd/o21dmN7jSt0IwgZ4v5MUd26FEtXE9w==",
-      "engines": {
-        "node": ">= 0.8.0"
-      }
-    },
-    "node_modules/protobufjs-cli/node_modules/source-map": {
-      "version": "0.6.1",
-      "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz",
-      "integrity": "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==",
-      "optional": true,
-      "engines": {
-        "node": ">=0.10.0"
-      }
-    },
-    "node_modules/protobufjs-cli/node_modules/type-check": {
-      "version": "0.3.2",
-      "resolved": "https://registry.npmjs.org/type-check/-/type-check-0.3.2.tgz",
-      "integrity": "sha512-ZCmOJdvOWDBYJlzAoFkC+Q0+bUyEOS1ltgp1MGU03fqHG+dbi9tBFU2Rd9QKiDZFAYrhPh2JUf7rZRIuHRKtOg==",
-      "dependencies": {
-        "prelude-ls": "~1.1.2"
-      },
-      "engines": {
-        "node": ">= 0.8.0"
-      }
-    },
     "node_modules/protocol-buffers-schema": {
       "version": "3.6.0",
       "resolved": "https://registry.npmjs.org/protocol-buffers-schema/-/protocol-buffers-schema-3.6.0.tgz",
@@ -22138,14 +21745,6 @@
       "resolved": "https://registry.npmjs.org/requires-port/-/requires-port-1.0.0.tgz",
       "integrity": "sha512-KigOCHcocU3XODJxsu8i/j8T9tzT4adHiecwORRQ0ZZFcp7ahwXuRU1m+yuO90C5ZUyGeGfocHDI14M3L3yDAQ=="
     },
-    "node_modules/requizzle": {
-      "version": "0.2.4",
-      "resolved": "https://registry.npmjs.org/requizzle/-/requizzle-0.2.4.tgz",
-      "integrity": "sha512-JRrFk1D4OQ4SqovXOgdav+K8EAhSB/LJZqCz8tbX0KObcdeM15Ss59ozWMBWmmINMagCwmqn4ZNryUGpBsl6Jw==",
-      "dependencies": {
-        "lodash": "^4.17.21"
-      }
-    },
     "node_modules/resolve": {
       "version": "1.22.6",
       "resolved": "https://registry.npmjs.org/resolve/-/resolve-1.22.6.tgz",
@@ -22269,18 +21868,6 @@
         "node": ">= 4"
       }
     },
-    "node_modules/retry-request": {
-      "version": "5.0.2",
-      "resolved": "https://registry.npmjs.org/retry-request/-/retry-request-5.0.2.tgz",
-      "integrity": "sha512-wfI3pk7EE80lCIXprqh7ym48IHYdwmAAzESdbU8Q9l7pnRCk9LEhpbOTNKjz6FARLm/Bl5m+4F0ABxOkYUujSQ==",
-      "dependencies": {
-        "debug": "^4.1.1",
-        "extend": "^3.0.2"
-      },
-      "engines": {
-        "node": ">=12"
-      }
-    },
     "node_modules/reusify": {
       "version": "1.0.4",
       "resolved": "https://registry.npmjs.org/reusify/-/reusify-1.0.4.tgz",
@@ -24152,17 +23739,6 @@
       "resolved": "https://registry.npmjs.org/tls/-/tls-0.0.1.tgz",
       "integrity": "sha512-GzHpG+hwupY8VMR6rYsnAhTHqT/97zT45PG8WD5eTT1lq+dFE0nN+1PYpsoBcHJgSmTz5ceK2Cv88IkPmIPOtQ=="
     },
-    "node_modules/tmp": {
-      "version": "0.2.1",
-      "resolved": "https://registry.npmjs.org/tmp/-/tmp-0.2.1.tgz",
-      "integrity": "sha512-76SUhtfqR2Ijn+xllcI5P1oyannHNHByD80W1q447gU3mp9G9PSpGdWmjUOHRDPiHYacIk66W7ubDTuPF3BEtQ==",
-      "dependencies": {
-        "rimraf": "^3.0.0"
-      },
-      "engines": {
-        "node": ">=8.17.0"
-      }
-    },
     "node_modules/tmpl": {
       "version": "1.0.5",
       "resolved": "https://registry.npmjs.org/tmpl/-/tmpl-1.0.5.tgz",
@@ -24569,17 +24145,6 @@
       "resolved": "https://registry.npmjs.org/uc.micro/-/uc.micro-1.0.6.tgz",
       "integrity": "sha512-8Y75pvTYkLJW2hWQHXxoqRgV7qb9B+9vFEtidML+7koHUFapnVJAZ6cKs+Qjz5Aw3aZWHMC6u0wJE3At+nSGwA=="
     },
-    "node_modules/uglify-js": {
-      "version": "3.17.4",
-      "resolved": "https://registry.npmjs.org/uglify-js/-/uglify-js-3.17.4.tgz",
-      "integrity": "sha512-T9q82TJI9e/C1TAxYvfb16xO120tMVFZrGA3f9/P4424DNu6ypK103y0GPFVa17yotwSyZW5iYXgjYHkGrJW/g==",
-      "bin": {
-        "uglifyjs": "bin/uglifyjs"
-      },
-      "engines": {
-        "node": ">=0.8.0"
-      }
-    },
     "node_modules/unbox-primitive": {
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/unbox-primitive/-/unbox-primitive-1.0.2.tgz",
@@ -24594,11 +24159,6 @@
         "url": "https://github.com/sponsors/ljharb"
       }
     },
-    "node_modules/underscore": {
-      "version": "1.13.6",
-      "resolved": "https://registry.npmjs.org/underscore/-/underscore-1.13.6.tgz",
-      "integrity": "sha512-+A5Sja4HP1M08MaXya7p5LvjuM7K6q/2EaC0+iovj/wOcMsTzMvDFbasi/oSapiwOlt252IqsKqPjCl7huKS0A=="
-    },
     "node_modules/unicode-canonical-property-names-ecmascript": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/unicode-canonical-property-names-ecmascript/-/unicode-canonical-property-names-ecmascript-2.0.0.tgz",
@@ -25916,11 +25476,6 @@
       "resolved": "https://registry.npmjs.org/xmlchars/-/xmlchars-2.2.0.tgz",
       "integrity": "sha512-JZnDKK8B0RCDw84FNdDAIpZK+JuJw+s7Lz8nksI7SIuU3UXJJslUthsi+uWBUYOwPFwW7W7PRLRfUKpxjtjFCw=="
     },
-    "node_modules/xmlcreate": {
-      "version": "2.0.4",
-      "resolved": "https://registry.npmjs.org/xmlcreate/-/xmlcreate-2.0.4.tgz",
-      "integrity": "sha512-nquOebG4sngPmGPICTS5EnxqhKbCmz5Ox5hsszI2T6U5qdrJizBc+0ilYSEjTSzU0yZcmvppztXe/5Al5fUwdg=="
-    },
     "node_modules/xmlhttprequest-ssl": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/xmlhttprequest-ssl/-/xmlhttprequest-ssl-2.0.0.tgz",
@@ -25958,31 +25513,6 @@
         "node": ">= 6"
       }
     },
-    "node_modules/yargs": {
-      "version": "17.7.2",
-      "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.2.tgz",
-      "integrity": "sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==",
-      "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"
-      },
-      "engines": {
-        "node": ">=12"
-      }
-    },
-    "node_modules/yargs-parser": {
-      "version": "21.1.1",
-      "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz",
-      "integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==",
-      "engines": {
-        "node": ">=12"
-      }
-    },
     "node_modules/yn": {
       "version": "3.1.1",
       "resolved": "https://registry.npmjs.org/yn/-/yn-3.1.1.tgz",
diff --git a/chainforge/react-server/package.json b/chainforge/react-server/package.json
index 229a67686..d47badb9f 100644
--- a/chainforge/react-server/package.json
+++ b/chainforge/react-server/package.json
@@ -13,8 +13,7 @@
     "@emoji-mart/data": "^1.1.2",
     "@emoji-mart/react": "^1.1.1",
     "@fontsource/geist-mono": "^5.0.1",
-    "@google-ai/generativelanguage": "^0.2.0",
-    "@google/generative-ai": "^0.21.0",
+    "@google/genai": "^1.19.0",
     "@mantine/core": "^6.0.9",
     "@mantine/dates": "^6.0.13",
     "@mantine/dropzone": "^6.0.19",
@@ -66,7 +65,7 @@
     "lz-string": "^1.5.0",
     "mantine-contextmenu": "^6.1.0",
     "mantine-react-table": "^1.3.4",
-    "markdown-it": "^13.0.1",
+    "markdown-it": "^13.0.2",
     "mathjs": "^11.8.2",
     "mdast-util-from-markdown": "^2.0.0",
     "net": "^1.0.2",
@@ -136,6 +135,7 @@
   "devDependencies": {
     "@craco/craco": "^7.1.0",
     "@types/lodash": "^4.17.0",
+    "@types/markdown-it": "^14.1.2",
     "@types/papaparse": "^5.3.14",
     "@types/react-beautiful-dnd": "^13.1.8",
     "@types/react-edit-text": "^5.0.4",
diff --git a/chainforge/react-server/src/App.tsx b/chainforge/react-server/src/App.tsx
index 29ca12e53..e1b5a4f54 100644
--- a/chainforge/react-server/src/App.tsx
+++ b/chainforge/react-server/src/App.tsx
@@ -106,10 +106,12 @@ import {
 // Device / Browser detection
 import {
   isMobile,
+  isTablet,
   isChrome,
   isFirefox,
   isEdgeChromium,
   isChromium,
+  isMobileSafari,
 } from "react-device-detect";
 import MultiEvalNode from "./MultiEvalNode";
 import FlowSidebar from "./FlowSidebar";
@@ -117,7 +119,6 @@ import NestedMenu, { NestedMenuItemProps } from "./NestedMenu";
 import RequestClarificationModal, {
   RequestClarificationModalProps,
 } from "./RequestClarificationModal";
-import { xorBy } from "lodash";
 
 const IS_ACCEPTED_BROWSER =
   (isChrome ||
@@ -125,7 +126,7 @@ const IS_ACCEPTED_BROWSER =
     isEdgeChromium ||
     isFirefox ||
     (navigator as any)?.brave !== undefined) &&
-  !isMobile;
+  (!isMobile || (isTablet && !isMobileSafari));
 
 // Whether we are running on localhost or not, and hence whether
 // we have access to the Flask backend for, e.g., Python code evaluation.
@@ -185,13 +186,13 @@ const INITIAL_LLM = () => {
     // Prefer OpenAI for majority of local users.
     const chatgpt = {
       key: uuid(),
-      name: "GPT3.5",
+      name: "GPT-4o-mini",
       emoji: "🤖",
-      model: "gpt-3.5-turbo",
-      base_model: "gpt-3.5-turbo",
+      model: "gpt-4o-mini",
+      base_model: "gpt-4",
       temp: 1.0,
-      settings: getDefaultModelSettings("gpt-3.5-turbo"),
-      formData: getDefaultModelFormData("gpt-3.5-turbo"),
+      settings: getDefaultModelSettings("gpt-4"),
+      formData: getDefaultModelFormData("gpt-4"),
     } satisfies LLMSpec;
     chatgpt.formData.shortname = chatgpt.name;
     chatgpt.formData.model = chatgpt.model;
diff --git a/chainforge/react-server/src/GlobalSettingsModal.tsx b/chainforge/react-server/src/GlobalSettingsModal.tsx
index 3ad756560..7593b8ff0 100644
--- a/chainforge/react-server/src/GlobalSettingsModal.tsx
+++ b/chainforge/react-server/src/GlobalSettingsModal.tsx
@@ -537,7 +537,7 @@ const GlobalSettingsModal = forwardRef<GlobalSettingsModalRef, object>(
                 <br />
                 <TextInput
                   label="Google AI API Key (Gemini)"
-                  placeholder="Paste your Google Gemini/PaLM API key here"
+                  placeholder="Paste your Google Gemini API key here"
                   {...form.getInputProps("Google")}
                 />
                 <br />
diff --git a/chainforge/react-server/src/ModelSettingSchemas.tsx b/chainforge/react-server/src/ModelSettingSchemas.tsx
index 51138d7eb..e53d2431c 100644
--- a/chainforge/react-server/src/ModelSettingSchemas.tsx
+++ b/chainforge/react-server/src/ModelSettingSchemas.tsx
@@ -91,7 +91,7 @@ const ChatGPTSettings: ModelSettingsDict = {
           "text-davinci-002",
           "code-davinci-002",
         ],
-        default: "gpt-3.5-turbo",
+        default: "gpt-4o-mini",
       },
       system_msg: {
         type: "string",
@@ -318,18 +318,18 @@ const GPT4Settings: ModelSettingsDict = {
         title: "Nickname",
         description:
           "Unique identifier to appear in ChainForge. Keep it short.",
-        default: "GPT-4o",
+        default: "GPT-4o-mini",
       },
       model: {
         ...ChatGPTSettings.schema.properties.model,
-        default: "gpt-4o",
+        default: "gpt-4o-mini",
       },
     },
   },
   uiSchema: {
     ...ChatGPTSettings.uiSchema,
     model: {
-      "ui:help": "Defaults to gpt-4o.",
+      "ui:help": "Defaults to gpt-4o-mini.",
       "ui:widget": "datalist",
     },
   },
@@ -833,7 +833,7 @@ const ClaudeSettings: ModelSettingsDict = {
   },
 };
 
-const PaLM2Settings: ModelSettingsDict = {
+const Gemini25Settings: ModelSettingsDict = {
   fullName: "Google AI Models (Gemini)",
   schema: {
     type: "object",
@@ -850,30 +850,29 @@ const PaLM2Settings: ModelSettingsDict = {
         type: "string",
         title: "Model",
         description:
-          "Select a PaLM model to query. For more details on the differences, see the Google PaLM API documentation.",
+          "Select a Gemini model to query. For more details on the differences, see the Google Gemini API documentation.",
         enum: [
-          "gemini-2.5-pro-preview-03-25",
+          "gemini-2.5-pro",
+          "gemini-2.5-flash",
+          "gemini-2.5-flash-lite",
           "gemini-2.0-flash",
           "gemini-2.0-flash-lite",
-          "gemini-1.5-flash",
-          "gemini-1.5-flash-8b",
-          "gemini-1.5-pro",
-          "gemini-1.0-pro",
-          "gemini-pro",
-          "text-bison-001",
-          "chat-bison-001",
+          "gemini-embedding-001",
+          "text-embedding-005",
+          "text-embedding-004",
+          "text-multilingual-embedding-002",
         ],
-        default: "gemini-1.5-flash",
+        default: "gemini-2.5-flash",
         shortname_map: {
-          "text-bison-001": "PaLM2-text",
-          "chat-bison-001": "PaLM2-chat",
-          "gemini-pro": "Gemini 1.0",
-          "gemini-2.5-pro-preview-03-25": "Gemini 2.5",
+          "gemini-2.5-pro": "Gemini 2.5 Pro",
+          "gemini-2.5-flash": "Gemini 2.5 Flash",
+          "gemini-2.5-flash-lite": "Gemini 2.5 Flash Lite",
           "gemini-2.0-flash": "Gemini 2.0 Flash",
-          "gemini-1.5-pro": "Gemini 1.5",
-          "gemini-1.0-pro": "Gemini 1.0",
-          "gemini-1.5-flash": "Gemini Flash",
-          "gemini-1.5-flash-8b": "Gemini Flash 8B",
+          "gemini-2.0-flash-lite": "Gemini 2.0 Flash Lite",
+          "gemini-embedding-001": "gemini-embedding-001",
+          "text-embedding-005": "text-embedding-005",
+          "text-embedding-004": "text-embedding-004",
+          "text-multilingual-embedding-002": "text-multilingual-embedding-002",
         },
       },
       system_msg: {
@@ -887,17 +886,17 @@ const PaLM2Settings: ModelSettingsDict = {
         type: "number",
         title: "temperature",
         description:
-          "Controls the randomness of the output. Must be positive. Typical values are in the range: [0.0, 1.0]. Higher values produce a more random and varied response. A temperature of zero will be deterministic. (ChainForge only allows a max 1.0 temperature for PaLM).",
-        default: 0.5,
+          "Controls the randomness of the output. Must be positive. Typical values are in the range: [0.0, 1.0]. Higher values produce a more random and varied response. A temperature of zero will be deterministic.",
+        default: 0.7,
         minimum: 0,
-        maximum: 1,
+        maximum: 2,
         multipleOf: 0.01,
       },
       top_k: {
         type: "integer",
         title: "top_k",
         description:
-          "Sets the maximum number of tokens to sample from on each step. (The PaLM API uses combined nucleus and top-k sampling.) Set to -1 to use the default value.",
+          "Sets the maximum number of tokens to sample from on each step. (The Gemini API uses combined nucleus and top-k sampling.) Set to -1 to use the default value.",
         minimum: -1,
         default: -1,
       },
@@ -905,7 +904,7 @@ const PaLM2Settings: ModelSettingsDict = {
         type: "number",
         title: "top_p",
         description:
-          "Sets the maximum cumulative probability of tokens to sample from. (The PaLM API uses combined nucleus and top-k sampling.) Set to -1 to use the default value.",
+          "Sets the maximum cumulative probability of tokens to sample from. (The Gemini API uses combined nucleus and top-k sampling.) Set to -1 to use the default value.",
         default: -1,
         minimum: -1,
         maximum: 1,
@@ -935,14 +934,14 @@ const PaLM2Settings: ModelSettingsDict = {
       "ui:autofocus": true,
     },
     model: {
-      "ui:help": "Defaults to gemini-pro.",
+      "ui:help": "Defaults to gemini-2.5-flash.",
       "ui:widget": "datalist",
     },
     system_msg: {
       "ui:widget": "textarea",
     },
     temperature: {
-      "ui:help": "Defaults to 0.5.",
+      "ui:help": "Defaults to 0.7.",
       "ui:widget": "range",
     },
     max_output_tokens: {
@@ -2481,7 +2480,7 @@ export const ModelSettings: Dict<ModelSettingsDict> = {
   "dall-e": DalleSettings,
   "gpt-image-1": GPTImage1Settings,
   "claude-v1": ClaudeSettings,
-  "palm2-bison": PaLM2Settings,
+  "gemini-2.5": Gemini25Settings,
   "azure-openai": AzureOpenAISettings,
   hf: HuggingFaceTextInferenceSettings,
   "luminous-base": AlephAlphaLuminousSettings,
@@ -2508,7 +2507,7 @@ export function baseModelToProvider(base_model: string): LLMProvider {
     "dall-e": LLMProvider.OpenAI,
     "gpt-image-1": LLMProvider.OpenAI,
     "claude-v1": LLMProvider.Anthropic,
-    "palm2-bison": LLMProvider.Google,
+    "gemini-2.5": LLMProvider.Google,
     "azure-openai": LLMProvider.Azure_OpenAI,
     hf: LLMProvider.HuggingFace,
     "luminous-base": LLMProvider.Aleph_Alpha,
@@ -2537,7 +2536,7 @@ export function getSettingsSchemaForLLM(
   } = {
     [LLMProvider.OpenAI]: GPT4Settings,
     [LLMProvider.Anthropic]: ClaudeSettings,
-    [LLMProvider.Google]: PaLM2Settings,
+    [LLMProvider.Google]: Gemini25Settings,
     [LLMProvider.Azure_OpenAI]: AzureOpenAISettings,
     [LLMProvider.HuggingFace]: HuggingFaceTextInferenceSettings,
     [LLMProvider.Aleph_Alpha]: AlephAlphaLuminousSettings,
diff --git a/chainforge/react-server/src/backend/__test__/backend.test.ts b/chainforge/react-server/src/backend/__test__/backend.test.ts
index 04dc4ed93..dbbf76da8 100644
--- a/chainforge/react-server/src/backend/__test__/backend.test.ts
+++ b/chainforge/react-server/src/backend/__test__/backend.test.ts
@@ -68,7 +68,7 @@ test("call three LLMs with a single prompt", async () => {
   const llms = [
     NativeLLM.OpenAI_ChatGPT,
     NativeLLM.Claude_v1,
-    NativeLLM.PaLM2_Chat_Bison,
+    NativeLLM.GEMINI_v2_5_flash,
   ];
   const n = 1;
   const progress_listener = (progress: { [key: symbol]: any }) => {
diff --git a/chainforge/react-server/src/backend/__test__/query.test.ts b/chainforge/react-server/src/backend/__test__/query.test.ts
index 1373aa1cc..9e6439186 100644
--- a/chainforge/react-server/src/backend/__test__/query.test.ts
+++ b/chainforge/react-server/src/backend/__test__/query.test.ts
@@ -94,6 +94,6 @@ test("basic prompt pipeline with anthropic", async () => {
   await prompt_model(NativeLLM.Claude_v1, LLMProvider.Anthropic);
 }, 40000);
 
-test("basic prompt pipeline with google palm2", async () => {
-  await prompt_model(NativeLLM.PaLM2_Chat_Bison, LLMProvider.Google);
+test("basic prompt pipeline with google gemini 2.5 flash", async () => {
+  await prompt_model(NativeLLM.GEMINI_v2_5_flash, LLMProvider.Google);
 }, 40000);
diff --git a/chainforge/react-server/src/backend/__test__/utils.test.ts b/chainforge/react-server/src/backend/__test__/utils.test.ts
index 43aac93ad..09bb0d7c1 100644
--- a/chainforge/react-server/src/backend/__test__/utils.test.ts
+++ b/chainforge/react-server/src/backend/__test__/utils.test.ts
@@ -5,7 +5,6 @@ import {
   call_alephalpha,
   call_anthropic,
   call_chatgpt,
-  call_google_palm,
   extract_responses,
   merge_response_objs,
 } from "../utils";
@@ -116,48 +115,6 @@ test("anthropic models", async () => {
   expect(typeof resps[0]).toBe("string");
 }, 20000);
 
-test("google palm2 models", async () => {
-  // Call Google's PaLM Chat API with a basic question
-  let [query, response] = await call_google_palm(
-    "Who invented modern playing cards?",
-    NativeLLM.PaLM2_Chat_Bison,
-    3,
-    0.7,
-  );
-  expect(response.candidates).toHaveLength(3);
-  expect(query).toHaveProperty("candidateCount");
-
-  // Extract responses, check their type
-  let resps = extract_responses(
-    response,
-    NativeLLM.PaLM2_Chat_Bison,
-    LLMProvider.Google,
-  );
-  expect(resps).toHaveLength(3);
-  expect(typeof resps[0]).toBe("string");
-  console.log(JSON.stringify(resps));
-
-  // Call Google's PaLM Text Completions API with a basic question
-  [query, response] = await call_google_palm(
-    "Who invented modern playing cards? The answer ",
-    NativeLLM.PaLM2_Text_Bison,
-    3,
-    0.7,
-  );
-  expect(response.candidates).toHaveLength(3);
-  expect(query).toHaveProperty("maxOutputTokens");
-
-  // Extract responses, check their type
-  resps = extract_responses(
-    response,
-    NativeLLM.PaLM2_Chat_Bison,
-    LLMProvider.Google,
-  );
-  expect(resps).toHaveLength(3);
-  expect(typeof resps[0]).toBe("string");
-  console.log(JSON.stringify(resps));
-}, 40000);
-
 test("aleph alpha model", async () => {
   let [query, response] = await call_alephalpha(
     "Who invented modern playing cards?",
@@ -177,7 +134,6 @@ test("aleph alpha model", async () => {
   expect(typeof resps[0]).toBe("string");
   console.log(JSON.stringify(resps));
 
-  // Call Google's PaLM Text Completions API with a basic question
   // eslint-disable-next-line
   [query, response] = await call_alephalpha(
     "Who invented modern playing cards? The answer ",
diff --git a/chainforge/react-server/src/backend/models.ts b/chainforge/react-server/src/backend/models.ts
index efd972bcb..f938509a8 100644
--- a/chainforge/react-server/src/backend/models.ts
+++ b/chainforge/react-server/src/backend/models.ts
@@ -74,16 +74,14 @@ export enum NativeLLM {
   Claude_v1_instant = "claude-instant-v1",
 
   // Google models
-  PaLM2_Text_Bison = "text-bison-001", // it's really models/text-bison-001, but that's confusing
-  PaLM2_Chat_Bison = "chat-bison-001",
-  GEMINI_PRO = "gemini-pro",
-  GEMINI_v2_5_pro_prev = "gemini-2.5-pro-preview-03-25",
+  GEMINI_v2_5_pro = "gemini-2.5-pro",
+  GEMINI_v2_5_flash = "gemini-2.5-flash",
+  GEMINI_v2_5_flash_lite = "gemini-2.5-flash-lite",
   GEMINI_v2_flash = "gemini-2.0-flash",
   GEMINI_v2_flash_lite = "gemini-2.0-flash-lite",
   GEMINI_v1_5_flash = "gemini-1.5-flash",
   GEMINI_v1_5_flash_8B = "gemini-1.5-flash-8b",
   GEMINI_v1_5_pro = "gemini-1.5-pro",
-  GEMINI_v1_pro = "gemini-1.0-pro",
 
   // DeepSeek
   DeepSeek_Chat = "deepseek-chat",
@@ -253,8 +251,7 @@ export function getProvider(llm: LLM): LLMProvider | undefined {
   const llm_name = getEnumName(NativeLLM, llm.toString());
   if (llm_name?.startsWith("OpenAI")) return LLMProvider.OpenAI;
   else if (llm_name?.startsWith("Azure")) return LLMProvider.Azure_OpenAI;
-  else if (llm_name?.startsWith("PaLM2") || llm_name?.startsWith("GEMINI"))
-    return LLMProvider.Google;
+  else if (llm_name?.startsWith("GEMINI")) return LLMProvider.Google;
   else if (llm_name?.startsWith("HF_")) return LLMProvider.HuggingFace;
   else if (llm.toString().startsWith("claude")) return LLMProvider.Anthropic;
   else if (llm_name?.startsWith("Aleph_Alpha")) return LLMProvider.Aleph_Alpha;
@@ -290,9 +287,9 @@ export const RATE_LIMIT_BY_MODEL: { [key in LLM]?: number } = {
   [NativeLLM.OpenAI_DallE_2]: 10, // Should be 5 images per minute (1 img per every 10 seconds); here, we've been a bit lenient with it.
   [NativeLLM.OpenAI_DallE_3]: 10, // This differs per tier, see https://platform.openai.com/docs/guides/rate-limits/usage-tiers?context=tier-one
   [NativeLLM.Azure_OpenAI]: 500, // conservative
-  [NativeLLM.PaLM2_Text_Bison]: 60, // max 60 requests per minute as of Mar 2023
-  [NativeLLM.PaLM2_Chat_Bison]: 60,
-  [NativeLLM.GEMINI_PRO]: 60,
+  [NativeLLM.GEMINI_v2_5_pro]: 150,
+  [NativeLLM.GEMINI_v2_5_flash]: 1000,
+  [NativeLLM.GEMINI_v2_5_flash_lite]: 4000,
   [NativeLLM.Bedrock_Jurassic_Mid]: 400,
   [NativeLLM.Bedrock_Jurassic_Ultra]: 25,
   [NativeLLM.Bedrock_Titan_Light]: 800,
diff --git a/chainforge/react-server/src/backend/typing.ts b/chainforge/react-server/src/backend/typing.ts
index 2559782db..4b10e7280 100644
--- a/chainforge/react-server/src/backend/typing.ts
+++ b/chainforge/react-server/src/backend/typing.ts
@@ -110,17 +110,6 @@ export interface ChatMessage {
 }
 export type ChatHistory = ChatMessage[];
 
-/** Google PaLM chat message format */
-export interface PaLMChatMessage {
-  author: string; // usually, 0=user and 1=AI
-  content: string;
-}
-export interface PaLMChatContext {
-  messages: PaLMChatMessage[];
-  context?: string;
-  examples?: Dict[];
-}
-
 export interface GeminiChatMessage {
   role: string;
   parts: [{ text: string }];
diff --git a/chainforge/react-server/src/backend/utils.ts b/chainforge/react-server/src/backend/utils.ts
index 887f8b22c..db4520322 100644
--- a/chainforge/react-server/src/backend/utils.ts
+++ b/chainforge/react-server/src/backend/utils.ts
@@ -11,8 +11,6 @@ import {
   RawLLMResponseObject,
   ChatHistory,
   ChatMessage,
-  PaLMChatMessage,
-  PaLMChatContext,
   HuggingFaceChatHistory,
   GeminiChatContext,
   GeminiChatMessage,
@@ -46,7 +44,11 @@ import {
   OpenAIClient as AzureOpenAIClient,
   AzureKeyCredential,
 } from "@azure/openai";
-import { GoogleGenerativeAI, Part } from "@google/generative-ai";
+import {
+  GenerateContentConfig,
+  GoogleGenAI,
+  PartListUnion,
+} from "@google/genai";
 import { UserForcedPrematureExit } from "./errors";
 import {
   fromModelId,
@@ -894,7 +896,7 @@ export async function call_anthropic(
 }
 
 /**
- * Calls a Google PaLM/Gemini model, based on the model selection from the user.
+ * Calls a Google Gemini model, based on the model selection from the user.
  * Returns raw query and response JSON dicts.
  */
 export async function call_google_ai(
@@ -905,188 +907,24 @@ export async function call_google_ai(
   params?: Dict,
   should_cancel?: () => boolean,
   images?: string[],
-): Promise<[Dict, Dict]> {
-  if (
-    model === NativeLLM.PaLM2_Chat_Bison ||
-    model === NativeLLM.PaLM2_Text_Bison
-  )
-    return call_google_palm(
-      prompt,
-      model,
-      n,
-      temperature,
-      params,
-      should_cancel,
-      images,
-    );
-  else
-    return call_google_gemini(
-      prompt,
-      model,
-      n,
-      temperature,
-      params,
-      should_cancel,
-      images,
-    );
-}
-
-/**
- * Calls a Google PaLM model.
- * Returns raw query and response JSON dicts.
- */
-export async function call_google_palm(
-  prompt: string,
-  model: LLM,
-  n = 1,
-  temperature = 0.7,
-  params?: Dict,
-  should_cancel?: () => boolean,
-  images?: string[],
-): Promise<[Dict, Dict]> {
-  if (!GOOGLE_PALM_API_KEY)
-    throw new Error(
-      "Could not find an API key for Google PaLM models. Double-check that your API key is set in Settings or in your local environment.",
-    );
-  const is_chat_model = model.toString().includes("chat");
-
-  // Required non-standard params
-  const max_output_tokens = params?.max_output_tokens || 800;
-  const chat_history = params?.chat_history;
-  delete params?.chat_history;
-
-  const query: Dict = {
-    model: `models/${model}`,
-    candidate_count: n,
-    temperature,
-    max_output_tokens,
-    ...params,
-  };
-
-  // Remove erroneous parameters for text and chat models
-  if (query.top_k !== undefined && query.top_k <= 0) delete query.top_k;
-  if (query.top_p !== undefined && query.top_p <= 0) delete query.top_p;
-  if (is_chat_model && query.max_output_tokens !== undefined)
-    delete query.max_output_tokens;
-  if (is_chat_model && query.stop_sequences !== undefined)
-    delete query.stop_sequences;
-
-  // For some reason Google needs to be special and have its API params be different names --camel or snake-case
-  // --depending on if it's the Python or Node JS API. ChainForge needs a consistent name, so we must convert snake to camel:
-  const casemap = {
-    safety_settings: "safetySettings",
-    stop_sequences: "stopSequences",
-    candidate_count: "candidateCount",
-    max_output_tokens: "maxOutputTokens",
-    top_p: "topP",
-    top_k: "topK",
-  };
-  Object.entries(casemap).forEach(([key, val]) => {
-    if (key in query) {
-      query[val] = query[key];
-      delete query[key];
-    }
-  });
-
-  if (is_chat_model) {
-    // Chat completions
-    if (chat_history !== undefined && chat_history.length > 0) {
-      // Carry over any chat history, converting OpenAI formatted chat history to Google PaLM:
-      const palm_chat_context: PaLMChatContext = { messages: [] };
-      const palm_messages: PaLMChatMessage[] = [];
-      for (const chat_msg of chat_history) {
-        if (chat_msg.role === "system") {
-          // Carry the system message over as PaLM's chat 'context':
-          palm_chat_context.context = chat_msg.content;
-        } else if (chat_msg.role === "user") {
-          palm_messages.push({ author: "0", content: chat_msg.content });
-        } else palm_messages.push({ author: "1", content: chat_msg.content });
-      }
-      palm_messages.push({ author: "0", content: prompt });
-      palm_chat_context.messages = palm_messages;
-      query.prompt = palm_chat_context;
-    } else {
-      query.prompt = { messages: [{ content: prompt }] };
-    }
-  } else {
-    // Text completions
-    query.prompt = { text: prompt };
-  }
-
-  console.log(
-    `Calling Google PaLM model '${model}' with prompt '${prompt}' (n=${n}). Please be patient...`,
-  );
-
-  // Call the correct model client
-  const method = is_chat_model ? "generateMessage" : "generateText";
-  const url = `https://generativelanguage.googleapis.com/v1beta2/models/${model}:${method}?key=${GOOGLE_PALM_API_KEY}`;
-  const headers = { "Content-Type": "application/json" };
-  const res = await fetch(url, {
-    method: "POST",
-    headers,
-    body: JSON.stringify(query),
-  });
-  const completion: Dict = await res.json();
-
-  // Sometimes the REST call will give us an error; bubble this up the chain:
-  if (completion.error !== undefined) {
-    throw new Error(JSON.stringify(completion.error));
-  }
-
-  // Google PaLM, unlike other chat models, will output empty
-  // responses for any response it deems unsafe (blocks). Although the text completions
-  // API has a (relatively undocumented) 'safety_settings' parameter,
-  // the current chat completions API provides users no control over the blocking.
-  // We need to detect this and fill the response with the safety reasoning:
-  if (completion.filters && completion.filters.length > 0) {
-    // Request was blocked. Output why in the response text, repairing the candidate dict to mock up 'n' responses
-    const block_error_msg = `[[BLOCKED_REQUEST]] Request was blocked because it triggered safety filters: ${JSON.stringify(
-      completion.filters,
-    )}`;
-    completion.candidates = new Array(n).fill({
-      author: "1",
-      content: block_error_msg,
-    });
-  }
-
-  // Weirdly, google ignores candidate_count if temperature is 0.
-  // We have to check for this and manually append the n-1 responses:
-  if (n > 1 && completion.candidates?.length === 1) {
-    completion.candidates = new Array(n).fill(completion.candidates[0]);
-  }
-
-  return [query, completion];
-}
-
-export async function call_google_gemini(
-  prompt: string,
-  model: LLM,
-  n = 1,
-  temperature = 0.7,
-  params?: Dict,
-  should_cancel?: () => boolean,
-  images?: string[],
 ): Promise<[Dict, Dict]> {
   if (!GOOGLE_PALM_API_KEY)
     throw new Error(
       "Could not find an API key for Google Gemini models. Double-check that your API key is set in Settings or in your local environment.",
     );
 
-  // Required non-standard params
   const max_output_tokens = params?.max_output_tokens || 1000;
   const chat_history: ChatHistory = params?.chat_history;
   const system_msg = params?.system_msg;
   delete params?.chat_history;
   delete params?.system_msg;
 
-  const genAI = new GoogleGenerativeAI(GOOGLE_PALM_API_KEY);
-  const gemini_model = genAI.getGenerativeModel({
-    model: model.toString(),
-    systemInstruction:
-      typeof system_msg === "string" && chat_history === undefined
-        ? system_msg
-        : undefined,
-  });
+  const gemini_client = new GoogleGenAI({ apiKey: GOOGLE_PALM_API_KEY });
+
+  const gemini_config: GenerateContentConfig = {
+    candidateCount: 1,
+    systemInstruction: system_msg,
+  };
 
   const query: Dict = {
     model: `models/${model}`,
@@ -1098,7 +936,7 @@ export async function call_google_gemini(
 
   // For some reason Google needs to be special and have its API params be different names --camel or snake-case
   // --depending on if it's the Python or Node JS API. ChainForge needs a consistent name, so we must convert snake to camel:
-  const casemap = {
+  const casemap: Record<string, keyof GenerateContentConfig> = {
     safety_settings: "safetySettings",
     stop_sequences: "stopSequences",
     candidate_count: "candidateCount",
@@ -1107,53 +945,53 @@ export async function call_google_gemini(
     top_k: "topK",
   };
 
-  const gen_Config: Dict = { candidateCount: 1 };
-
   Object.entries(casemap).forEach(([key, val]) => {
     if (key in query) {
-      gen_Config[val] = query[key];
-      query[val] = query[key];
+      gemini_config[val] = query[key];
+      query[val as string | number] = query[key];
       delete query[key];
     }
   });
 
-  // Gemini only supports candidate_count of 1
-  gen_Config.candidateCount = 1;
+  gemini_config.candidateCount = 1; // Gemini only supports 1 candidate
 
-  // By default for topK is none, and topP is 1.0
-  if ("topK" in gen_Config && gen_Config.topK === -1) {
-    delete gen_Config.topK;
+  // -1 is not a sensible value, so assume default is intended
+  if ("topK" in gemini_config && gemini_config.topK === -1) {
+    delete gemini_config.topK;
   }
-  if ("topP" in gen_Config && gen_Config.topP === -1) {
-    gen_Config.topP = 1.0;
+  if ("topP" in gemini_config && gemini_config.topP === -1) {
+    gemini_config.topP = 1.0;
   }
 
-  const gemini_chat_context: GeminiChatContext = { history: [] };
+  const gemini_chat_history: GeminiChatContext = { history: [] };
+
+  const openai_gemini_role_map: Record<string, "user" | "model"> = {
+    user: "user",
+    assistant: "model",
+    system: "model",
+  };
 
   // Chat completions
   if (chat_history !== undefined && chat_history.length > 0) {
-    // Carry over any chat history, converting OpenAI formatted chat history to Google PaLM:
-
-    const gemini_messages: GeminiChatMessage[] = [];
+    // Carry over any chat history, converting OpenAI formatted chat history to Gemini:
     for (const chat_msg of chat_history) {
+      // Carry over system message to systemInstruction instead, on Gemini's config
+      // NOTE: This will override any systemInstruction already present in gemini_config.
+      // If the user is passing a chat history, it means they are using a Chat Turn node.
       if (chat_msg.role === "system") {
-        // Carry the system message over as PaLM's chat 'context':
-        gemini_messages.push({
-          role: "model",
-          parts: [{ text: chat_msg.content }],
-        });
-      } else if (chat_msg.role === "user") {
-        gemini_messages.push({
-          role: "user",
-          parts: [{ text: chat_msg.content }],
-        });
-      } else
-        gemini_messages.push({
-          role: "model",
-          parts: [{ text: chat_msg.content }],
-        });
+        if (system_msg !== undefined) {
+          console.warn(
+            "Warning: Both a system message and a chat history with a system message were provided to Google Gemini (typically, this occurs when a system message is defined in a Prompt Node and passed into a later Chat Turn node). The system message in the chat history will override the standalone system message.",
+          );
+        }
+        gemini_config.systemInstruction = chat_msg.content;
+      }
+      const prompt_part: GeminiChatMessage = {
+        role: openai_gemini_role_map[chat_msg.role],
+        parts: [{ text: chat_msg.content }],
+      };
+      gemini_chat_history.history.push(prompt_part);
     }
-    gemini_chat_context.history = gemini_messages;
   }
 
   console.log(
@@ -1161,7 +999,7 @@ export async function call_google_gemini(
   );
 
   const responses: Array<Dict> = [];
-  const prompt_parts: Array<Part> = [{ text: prompt }];
+  const prompt_parts: PartListUnion = [{ text: prompt }];
   if (images && images.length > 0) {
     const image_data_urls: string[] = await imagesToBase64(images);
     for (const image of image_data_urls) {
@@ -1174,27 +1012,22 @@ export async function call_google_gemini(
     }
   }
 
-  // TODO: to finish
-  // if (prompt.includes(IMAGE_IDENTIFIER) && typeof prompt === "string") {
-  //   prompt = resolve_image_in_user_messages([{role : 'user', content : prompt}], 'gemini');
-  // }
-
   while (responses.length < n) {
     if (should_cancel && should_cancel()) throw new UserForcedPrematureExit();
 
-    const chat = gemini_model.startChat({
-      history: gemini_chat_context.history,
-      generationConfig: gen_Config,
+    const chat = gemini_client.chats.create({
+      model,
+      history: gemini_chat_history.history,
+      config: gemini_config,
     });
 
-    const chatResult = await chat.sendMessage(prompt_parts);
-    const chatResponse = await chatResult.response;
-    const response = {
-      text: chatResponse.text(),
-      candidates: chatResponse.candidates,
-      promptFeedback: chatResponse.promptFeedback,
-    };
-    responses.push(response);
+    const chat_response = await chat.sendMessage({ message: prompt_parts });
+
+    responses.push({
+      text: chat_response.text,
+      candidates: chat_response.candidates,
+      promptFeedback: chat_response.promptFeedback,
+    });
   }
 
   return [query, responses];
@@ -1942,24 +1775,7 @@ function _extract_google_ai_responses(
   response: Dict,
   llm: LLM | string,
 ): Array<string> {
-  switch (llm) {
-    case NativeLLM.PaLM2_Chat_Bison:
-      return _extract_palm_responses(response);
-    case NativeLLM.PaLM2_Text_Bison:
-      return _extract_palm_responses(response);
-    default:
-      return _extract_gemini_responses(response as Array<Dict>);
-  }
-}
-
-/**
- * Extracts the text part of a 'Completion' object from Google PaLM2 `generate_text` or `chat`.
- *
- * NOTE: The candidate object for `generate_text` has a key 'output' which contains the response,
- * while the `chat` API uses a key 'content'. This checks for either.
- */
-function _extract_palm_responses(completion: Dict): Array<string> {
-  return completion.candidates.map((c: Dict) => c.output || c.content);
+  return _extract_gemini_responses(response as Array<Dict>);
 }
 
 /**
diff --git a/chainforge/react-server/src/store.tsx b/chainforge/react-server/src/store.tsx
index bb381416e..763a0a429 100644
--- a/chainforge/react-server/src/store.tsx
+++ b/chainforge/react-server/src/store.tsx
@@ -102,9 +102,9 @@ export const initLLMProviderMenu: (LLMSpec | LLMGroup)[] = [
     emoji: "🤖",
     items: [
       {
-        name: "GPT-4o",
-        emoji: "🤖",
-        model: "gpt-4o",
+        name: "GPT-4o-mini",
+        emoji: "🔬",
+        model: "gpt-4o-mini",
         base_model: "gpt-4",
         temp: 1.0,
       },
@@ -123,9 +123,9 @@ export const initLLMProviderMenu: (LLMSpec | LLMGroup)[] = [
         temp: 0.0,
       },
       {
-        name: "GPT4o-mini",
-        emoji: "🔬",
-        model: "gpt-4o-mini",
+        name: "GPT-4o",
+        emoji: "🤖",
+        model: "gpt-4o",
         base_model: "gpt-4",
         temp: 1.0,
       },
@@ -198,24 +198,31 @@ export const initLLMProviderMenu: (LLMSpec | LLMGroup)[] = [
     emoji: "♊",
     items: [
       {
-        name: "Gemini 1.5",
+        name: "Gemini 2.5 Pro",
         emoji: "♊",
-        model: "gemini-1.5-pro",
-        base_model: "palm2-bison",
+        model: "gemini-2.5-pro",
+        base_model: "gemini-2.5",
         temp: 0.7,
       },
       {
-        name: "Gemini 1.5 Flash",
-        emoji: "📸",
-        model: "gemini-1.5-flash",
-        base_model: "palm2-bison",
+        name: "Gemini 2.5 Flash",
+        emoji: "⚡️",
+        model: "gemini-2.5-flash",
+        base_model: "gemini-2.5",
+        temp: 0.7,
+      },
+      {
+        name: "Gemini 2.5 Flash Lite",
+        emoji: "💨",
+        model: "gemini-2.5-flash-lite",
+        base_model: "gemini-2.5",
         temp: 0.7,
       },
       {
-        name: "Gemini 1.5 Flash 8B",
+        name: "Gemini 2.0 Flash",
         emoji: "⚡️",
-        model: "gemini-1.5-flash-8b",
-        base_model: "palm2-bison",
+        model: "gemini-2.0-flash",
+        base_model: "gemini-2.5",
         temp: 0.7,
       },
     ],
diff --git a/chainforge/react-server/src/styles.css b/chainforge/react-server/src/styles.css
index b4a478f9e..98a53d806 100644
--- a/chainforge/react-server/src/styles.css
+++ b/chainforge/react-server/src/styles.css
@@ -1371,7 +1371,7 @@ html[data-mantine-color-scheme="dark"] .ai-button:active {
 /* Chat history bubbles */
 .chat-bubble {
   --r: 15px; /* the radius */
-  --t: 25px; /* the size of the tail */
+  --t: 10px; /* the size of the tail */
 
   max-width: 80%;
   padding: calc(2 * var(--r) / 3);
@@ -1406,6 +1406,9 @@ html[data-mantine-color-scheme="dark"] .chat-bubble textarea {
   margin-left: var(--t);
   place-self: end;
 }
+.chat-msg-right textarea {
+  max-width: 88%;
+}
 .chat-history {
   margin: 0;
   min-height: 10vh;
diff --git a/setup.py b/setup.py
index 5fb604591..de1388b75 100644
--- a/setup.py
+++ b/setup.py
@@ -6,7 +6,7 @@ def readme():
 
 setup(
     name="chainforge",
-    version="0.3.6.2",
+    version="0.3.6.3",
     packages=find_packages(),
     author="Ian Arawjo",
     description="A Visual Programming Environment for Prompt Engineering",