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

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* 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
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Danny Avila 2023-12-10 14:54:13 -05:00 • committed by GitHub
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commit 583e978a82
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8
api/app/clients/callbacks/createStartHandler.js
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@ -1,7 +1,8 @@
const { promptTokensEstimate } = require('openai-chat-tokens');
const checkBalance = require('../../../models/checkBalance');
const { isEnabled } = require('../../../server/utils');
const { formatFromLangChain } = require('../prompts');
const { EModelEndpoint } = require('~/server/services/Endpoints');
const { formatFromLangChain } = require('~/app/clients/prompts');
const checkBalance = require('~/models/checkBalance');
const { isEnabled } = require('~/server/utils');
const createStartHandler = ({
context,
@ -55,6 +56,7 @@ const createStartHandler = ({
debug: manager.debug,
generations,
model,
endpoint: EModelEndpoint.openAI,
},
});
}