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GigaChat is a large language model developed by Sberbank, designed for advanced natural language processing in Russian and other languages. GigaChat offers text generation, image understanding, code generation, and enterprise-grade NLP capabilities through a secure API.
With the GigaChat integration in AACFlow, you can:
- Generate text: Produce high-quality text for content creation, chatbots, and documentation
- Analyze images: Process and describe visual content using multimodal capabilities
- Generate code: Write, review, and explain code across multiple programming languages
- Summarize documents: Create concise summaries of long texts and business documents
- Classify content: Categorize text by topic, sentiment, urgency, or business relevance
- Process documents: Extract structured data from unstructured business documents
This integration enables enterprise-grade AI capabilities in your AACFlow workflows, powered by Sberbank's GigaChat.
Nutzungsanleitung
Integrate GigaChat into the workflow. Can generate text, analyze images, and process documents. Requires GigaChat API credentials (client ID and secret).
Tools
gigachat_complete
Generate text completion using GigaChat
Eingabe
| Parameter | Typ | Erforderlich | Beschreibung |
|---|---|---|---|
model | string | Nein | GigaChat model name |
messages | array | Ja | Array of message objects |
temperature | number | Nein | Generation temperature (0-1) |
maxTokens | number | Nein | Maximum tokens |
clientId | string | Ja | GigaChat client ID |
clientSecret | string | Ja | GigaChat client secret |
Ausgabe
| Parameter | Typ | Beschreibung |
|---|---|---|
choices | array | Generated completion choices |
usage | object | Token usage statistics |
gigachat_embed
Generate text embeddings with GigaChat
Eingabe
| Parameter | Typ | Erforderlich | Beschreibung |
|---|---|---|---|
text | string | Ja | Text to embed |
model | string | Nein | Embedding model name |
clientId | string | Ja | GigaChat client ID |
clientSecret | string | Ja | GigaChat client secret |
Ausgabe
| Parameter | Typ | Beschreibung |
|---|---|---|
embedding | array | Vector embedding array |
dimension | number | Embedding dimension |