BeeAI SDK
Project description
BeeAI SDK
Examples
The examples connect to the BeeAI Platform for LLM inteference.
Run using:
uv run examples/agent.py
Connect to the agent using the CLI:
uv run examples/cli.py
Plan
beeai_sdka2a:extensions: Shared definitions for A2A extensionsservices: Dependency injection extensions for external servicesllmembeddingdoclingfile_storevector_store
ui: User interface extensions for BeeAI Platform UItrajectorycitations
history: store and allow requesting the full history of the context
servercontext_storage: store data associated with context_idwrapper: conveniently build A2A agents -- opinionated on how tasks work,yield-semantics, autowired servicesservices: clients for external servicesllm: OpenAI-compatible chat LLMembedding: OpenAI-compatible embeddingtext_extraction: Docling-compatible text extractionfile_store: S3-compatible file storagevector_store: some vector store?
client- ?
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