AI integrations¶
AI / LLM¶
These integrations allow you to interact with AI and LLM services.
Anthropic¶
- Operators:
airflow.providers.anthropic.operators.batch,airflow.providers.anthropic.operators.agent.- Hooks:
- Sensors:
- Triggers:
airflow.providers.anthropic.triggers.batch,airflow.providers.anthropic.triggers.agent.- Guides:
- Provider:
- Product documentation:
Common AI¶
- Operators:
airflow.providers.common.ai.operators.agent,airflow.providers.common.ai.operators.llm,airflow.providers.common.ai.operators.llm_batch,airflow.providers.common.ai.operators.llm_file_analysis,airflow.providers.common.ai.operators.llm_branch,airflow.providers.common.ai.operators.llm_sql,airflow.providers.common.ai.operators.llm_schema_compare,airflow.providers.common.ai.operators.document_loader,airflow.providers.common.ai.operators.llamaindex_embedding,airflow.providers.common.ai.operators.llamaindex_retrieval.- Triggers:
- Guides:
Agents with tools: AgentOperator and @task.agent, Single prompts: LLMOperator and @task.llm, Batch processing: LLMBatchOperator, Analyze files and images: LLMFileAnalysisOperator, Branch on an answer: LLMBranchOperator, Natural language to SQL: LLMSQLQueryOperator, Detect schema drift: LLMSchemaCompareOperator, Load documents: DocumentLoaderOperator.
- Provider:
- Product documentation:
LangChain¶
- Hooks:
- Provider:
- Product documentation:
LlamaIndex¶
- Hooks:
- Guides:
Embed documents: LlamaIndexEmbeddingOperator, Retrieve context: LlamaIndexRetrievalOperator.
- Provider:
- Product documentation:
MCP Server¶
- Hooks:
- Provider:
- Product documentation:
OpenAI¶
- Operators:
airflow.providers.openai.operators.openai,airflow.providers.openai.operators.agent.- Hooks:
- Triggers:
airflow.providers.openai.triggers.openai,airflow.providers.openai.triggers.agent.- Guides:
- Provider:
- Product documentation:
Pydantic AI¶
- Hooks:
- Provider:
- Product documentation: