jammi-ai
The Python client (import jammi) for a Jammi
engine — one connect(target) for local (embedded) and remote targets.
jammi-ai is the base client: a universal py3-none-any wheel that
links no candle/ML stack — just grpcio + protobuf + pyarrow — for
production where the engine runs behind a server. It also discovers the compiled
in-process engine as an OPTIONAL backend: pip install jammi-ai[embedded]
pulls jammi-ai-native, and then connect("file://…") resolves the local target
to an in-process engine (direct FFI) through the SAME front door. Absent the
extra, the base stays native-free and a file:// target raises a truthful
NoEmbeddedEngineError.
One front door
import jammi
db = jammi.connect("https://engine.example.com")
db.add_source("patents", url="s3://corpus/patents.parquet", format="parquet")
db.generate_embeddings(source="patents", model="local:tiny_bert",
columns=["abstract"], key="id", modality="text")
q = db.encode_query(model="local:tiny_bert", query="quantum computing")
hits = db.search("patents", query=q, k=5) # -> pyarrow.Table
connect(target) is the Python mirror of the Rust Jammi::open(Target):
transport is config, not a code path.
Authenticated channels
A bearer-protected endpoint is reached by attaching credentials to the channel — the bearer rides the channel (attached once at connect), not threaded through every call:
from jammi import connect, BearerCredentials
db = connect("https://engine.example.com", credentials=BearerCredentials(token))
The same works on a plaintext grpc:// target for local development. The
bearer covers the typed gRPC verbs (on the channel) and db.sql() (the Flight
SQL lane, per call) alike.
| target | transport |
|---|---|
https://host / grpcs://host:8081 |
secure remote |
http://host / grpc://host:8081 |
plaintext remote |
file:///data |
in-process engine (direct FFI) with the [embedded] extra installed; otherwise raises NoEmbeddedEngineError pointing at pip install jammi-ai[embedded] |
Scaling local→remote is an env flip (connect(os.environ["JAMMI_TARGET"]))
with no code change. The lean deploy build and the embedded build are ONE
package — the same import jammi, connect unchanged — differing only by
whether the [embedded] extra is present.
Generated from the canonical proto
The wire stubs under jammi/_generated/ are generated from the same
jammi.v1 proto the engine, npm client, and embed wheel speak — one source, no
parallel schema. Regenerate after a proto change:
pip install -e '.[dev]'
make generate
1 maintainer
Metadata
1 maintainer
Release files for jammi-ai 0.52.0
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| File | Interpreter | ABI | Platform | Reset |
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| jammi_ai-0.52.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / jammi_ai-0.52.0-py3-none-any.whl
| Download URL | jammi_ai-0.52.0-py3-none-any.whl |
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| Tags | Python 3 |
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