embed-client
Python async client for the Embedding Service API. The canonical public client is EmbeddingClient, aligned with the migrated server-side contract (JSON-RPC via mcp-proxy-adapter).
from embed_client import EmbeddingClient
Installation
pip install embed-client
Editable development checkout:
git clone <repository-url>
cd embed-client
pip install -e .
Canonical real-server E2E (localhost:8001, mTLS)
The repository ships a runnable end-to-end tour of the public API against localhost:8001 with mTLS, using certificates under mtls_certificates/ (see mtls_certificates/README.md if present).
| Artifact | Path |
|---|---|
| Example script | examples/canonical_mtls_localhost_8001.py |
| Live integration | Set RUN_CANONICAL_MTLS_E2E=1 to perform real network calls (otherwise dry run / config check) |
Optional embed_file |
Set CANONICAL_EMBED_FILE_SERVER_PATH to a server-visible file path to include embed_file in the tour |
| Tests | tests/test_canonical_mtls_example.py |
python examples/canonical_mtls_localhost_8001.py
RUN_CANONICAL_MTLS_E2E=1 python examples/canonical_mtls_localhost_8001.py
Minimal usage
import asyncio
from embed_client import EmbeddingClient
async def main() -> None:
async with EmbeddingClient.from_base_url_port("http://localhost", 8001) as client:
h = await client.health()
print("health:", h)
data = await client.embed(["hello"], error_policy="continue", wait=True)
print("embed keys:", list(data.keys()) if isinstance(data, dict) else type(data))
if __name__ == "__main__":
asyncio.run(main())
Public queue-oriented helpers include embed, wait_for_job, job_status, list_queued_commands, cmd, optional embed_file, plus introspection (list_commands, models, fetch_openapi_schema, http_get, timing_stats) and TLS helpers is_mtls_enabled, get_ssl_config. See embed_client/embedding_client.py for the full list.
embed_file vs local JSON without shared server disk: use embed_file with a server-visible input_file when the input already exists on the service host. For a json_array file that exists only on the client machine (no shared filesystem), use the CLI embed-file-json subcommand (or embed_file_from_local_json_file) so the client validates, uploads through the adapter, resolves storage_path via get_upload_session, then runs embed_file with that path and format=json_array. For Markdown sources (e.g. with YAML front matter), run prepare-embed-file-json first to emit a valid json_array (array of strings): the body is split only on blank lines (\n\n) into paragraph-sized strings, with per-paragraph UTF-8 size limits and no automatic oversize split — oversized paragraphs require editing the source or raising the byte cap; then embed-file-json. Add --show-progress to stream server WebSocket/status lines to stderr during the job wait (see CLI_README.md).
Vectorization backends (server 4.0.29+): embed and embed_file take backend="local"|"external" (omitted = the server's configured default; external is the macsc service). model_offload() moves the resident local model VRAM -> RAM (pinned against the GPU watcher) and model_load(model=None, device=None, wait=None) moves it back (wait=False returns at once while the load continues, wait=True blocks until it is in VRAM). A local request while the model is not in VRAM is refused at once with -32001 MODEL_LOADING (the load runs in the background; retry), a backend the server mode does not admit with -32002 BACKEND_MODE_MISMATCH, an external failure with -32003. Refusals of model_offload/model_load arrive as EmbedAPIError carrying the server error object. Every embed result carries backend; external results also carry usage.
Documentation
- CONFIGURATION.md — JSON config schema, protocols, validation
- CLI_README.md —
embed-config-generator,embed-config-validator,embed-vectorize - docs/api_format.md — JSON-RPC shapes for
embedandembed_file(server path vs upload) - examples/README.md — example index (canonical mTLS first)
- docs/SERVER_MODES_AND_CLIENT.md — security modes vs client behavior (short summary; not full matrix)
Security modes
The server supports multiple HTTP/HTTPS/mTLS and auth combinations. For deploy-time verification expectations, see the project deploy rule; for field-level mapping, see CONFIGURATION.md and docs/SERVER_MODES_AND_CLIENT.md.
Development and tests
Run the test suite with pytest; configuration lives in pyproject.toml ([tool.pytest.ini_options]). There is no pytest.ini at the repository root.
pytest -q
License
MIT License
Author
Vasiliy Zdanovskiy — vasilyvz@gmail.com
1 maintainer
Metadata
1 maintainer
Release files for embed-client 4.0.31
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Source distribution (sdist)
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| embed_client-4.0.31.tar.gz | 240.9 kB | Details |
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|---|---|---|---|---|
| embed_client-4.0.31-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 342.5 kB
Release files / embed_client-4.0.31.tar.gz
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