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🤖 feat: Support Google Agents, fix Various Provider Configurations (#5126)
* 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are not supported by langchain, requires PR * feat: set default location for vertexai LLM configuration * fix: outdated OpenAI Client options for getLLMConfig * chore: agent provider options typing * chore: add note about currently unsupported customHeaders in langchain GenAI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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18 changed files with 429 additions and 363 deletions
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@ -398,15 +398,17 @@ const chatV2 = async (req, res) => {
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response = streamRunManager;
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response.text = streamRunManager.intermediateText;
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const messageCache = getLogStores(CacheKeys.MESSAGES);
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messageCache.set(
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responseMessageId,
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{
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complete: true,
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text: response.text,
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},
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Time.FIVE_MINUTES,
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);
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if (response.text) {
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const messageCache = getLogStores(CacheKeys.MESSAGES);
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messageCache.set(
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responseMessageId,
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{
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complete: true,
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text: response.text,
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},
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Time.FIVE_MINUTES,
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);
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}
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};
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await processRun();
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