Multi-provider LLM and message queue abstraction for distributed agent systems
Project description
teenyfactories
Agent runtime for TeenyFactories. Postgres-backed pub/sub, multi-provider LLM calls, vector search.
📖 Documentation: teenyfactories.github.io/core
pip install teenyfactories
import teenyfactories as tf
@tf.on_state('documents', 'loaded').do
def analyse(item):
tf.collection('documents').set(item['key'], state='analysed')
while True:
tf.run_pending()
tf.sleep(1)
Writing a row into a (collection, state) makes every subscriber to that pair pick it up: (collection, state) is a FIFO queue, and the handler consumes a row by transitioning its state (or deleting it). That's the framework.
Public API
| Group | Names |
|---|---|
| Pub/sub | on_state, run_pending (the only pub/sub primitive — no message bus) |
| Data | collection (.set, .add, .get, .get_all, .remove, .count, .exists, .first, .state, .where, .limit, .vector_search), embed |
| LLM | llm (fluent builder — .ask / .run_agent_loop), call_llm (LEGACY) |
| MCP | add_mcp_server, add_mcp_tool |
| Schedule | on_schedule.every(N).<unit>.do(handler) |
| Secrets / files | secrets, bucket_store (+ BucketStoreError family) |
| Logging | log_debug, log_info, log_warn, log_error, log_persona |
| Time / IDs | get_timestamp, get_timestamp_utc, generate_unique_id |
| Debug | breakpoint |
| Lifecycle / config | sleep, shutting_down, FACTORY_NAME, AGENT_NAME, AGENT_SLUG, AGENT_ID, __version__ |
Anything not in this list is not part of the supported surface — don't reach into submodules.
How it plugs in
A factory is a directory:
my_factory/
├── factory.yml
└── agents/
├── poller.py
└── enricher.py
Each agents/*.py runs in its own container based on ghcr.io/teenyfactories/agent:dev — which has this library pre-installed. Single-factory mode runs each file as a docker compose service; multi-factory mode runs them under the orchestrator. Either way, agent code is just import teenyfactories as tf + handlers + main loop.
Full setup, compose templates, environment variable reference: see the core repo.
Versioning
Semantic versioning; current release 1.0.0 (pip install teenyfactories). The version is declared in pyproject.toml and teenyfactories/__version__.py (kept in lockstep) and published to PyPI by CI on push to main, idempotent per version.
License
MIT.
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