feat(Google): Support all Text/Chat Models, Response streaming, PaLM -> Google 🤖 (#1316)

* feat: update PaLM icons

* feat: add additional google models

* POC: formatting inputs for Vertex AI streaming

* refactor: move endpoints services outside of /routes dir to /services/Endpoints

* refactor: shorten schemas import

* refactor: rename PALM to GOOGLE

* feat: make Google editable endpoint

* feat: reusable Ask and Edit controllers based off Anthropic

* chore: organize imports/logic

* fix(parseConvo): include examples in googleSchema

* fix: google only allows odd number of messages to be sent

* fix: pass proxy to AnthropicClient

* refactor: change `google` altName to `Google`

* refactor: update getModelMaxTokens and related functions to handle maxTokensMap with nested endpoint model key/values

* refactor: google Icon and response sender changes (Codey and Google logo instead of PaLM in all cases)

* feat: google support for maxTokensMap

* feat: google updated endpoints with Ask/Edit controllers, buildOptions, and initializeClient

* feat(GoogleClient): now builds prompt for text models and supports real streaming from Vertex AI through langchain

* chore(GoogleClient): remove comments, left before for reference in git history

* docs: update google instructions (WIP)

* docs(apis_and_tokens.md): add images to google instructions

* docs: remove typo apis_and_tokens.md

* Update apis_and_tokens.md

* feat(Google): use default settings map, fully support context for both text and chat models, fully support examples for chat models

* chore: update more PaLM references to Google

* chore: move playwright out of workflows to avoid failing tests

api/server/services/Endpoints/gptPlugins/buildOptions.js

@@ -0,0 +1,31 @@
+const buildOptions = (endpoint, parsedBody) => {
+  const {
+    chatGptLabel,
+    promptPrefix,
+    agentOptions,
+    tools,
+    model,
+    temperature,
+    top_p,
+    presence_penalty,
+    frequency_penalty,
+  } = parsedBody;
+  const endpointOption = {
+    endpoint,
+    tools: tools.map((tool) => tool.pluginKey) ?? [],
+    chatGptLabel,
+    promptPrefix,
+    agentOptions,
+    modelOptions: {
+      model,
+      temperature,
+      top_p,
+      presence_penalty,
+      frequency_penalty,
+    },
+  };
+
+  return endpointOption;
+};
+
+module.exports = buildOptions;