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🤖 feat: Support Google Agents, fix Various Provider Configurations (#5126)

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* feat: Refactor ModelEndHandler to collect usage metadata only if it exists

* feat: google tool end handling, custom anthropic class for better token ux

* refactor: differentiate between client <> request options

* feat: initial support for google agents

* feat: only cache messages with non-empty text

* feat: Cache non-empty messages in chatV2 controller

* fix: anthropic llm client options llmConfig

* refactor: streamline client options handling in LLM configuration

* fix: VertexAI Agent Auth & Tool Handling

* fix: additional fields for llmConfig, however customHeaders are not supported by langchain, requires PR

* feat: set default location for vertexai LLM configuration

* fix: outdated OpenAI Client options for getLLMConfig

* chore: agent provider options typing

* chore: add note about currently unsupported customHeaders in langchain GenAI client

* fix: skip transaction creation when rawAmount is NaN
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Danny Avila 2024-12-28 17:15:03 -05:00 • committed by GitHub
parent a423eb8c7b
commit 24cad6bbd4
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18 changed files with 429 additions and 363 deletions
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6
api/server/services/Endpoints/openAI/initialize.js
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@ -54,7 +54,7 @@ const initializeClient = async ({
let apiKey = userProvidesKey ? userValues?.apiKey : credentials[endpoint];
let baseURL = userProvidesURL ? userValues?.baseURL : baseURLOptions[endpoint];
const clientOptions = {
let clientOptions = {
contextStrategy,
proxy: PROXY ?? null,
debug: isEnabled(DEBUG_OPENAI),
@ -134,13 +134,13 @@ const initializeClient = async ({
}
if (optionsOnly) {
const requestOptions = Object.assign(
clientOptions = Object.assign(
{
modelOptions: endpointOption.model_parameters,
},
clientOptions,
);
const options = getLLMConfig(apiKey, requestOptions);
const options = getLLMConfig(apiKey, clientOptions);
if (!clientOptions.streamRate) {
return options;
}