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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* fix: outdated OpenAI Client options for getLLMConfig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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20
api/app/clients/PluginsClient.js
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@ -256,15 +256,17 @@ class PluginsClient extends OpenAIClient {
}
this.responsePromise = this.saveMessageToDatabase(responseMessage, saveOptions, user);
const messageCache = getLogStores(CacheKeys.MESSAGES);
messageCache.set(
responseMessage.messageId,
{
text: responseMessage.text,
complete: true,
},
Time.FIVE_MINUTES,
);
if (responseMessage.text) {
const messageCache = getLogStores(CacheKeys.MESSAGES);
messageCache.set(
responseMessage.messageId,
{
text: responseMessage.text,
complete: true,
},
Time.FIVE_MINUTES,
);
}
delete responseMessage.tokenCount;
return { ...responseMessage, ...result };
}