embed-client 3.1.9.0

Async client for the Embedding Service API. Canonical class: EmbeddingClient (JSON-RPC via mcp-proxy-adapter).

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, then runs embed_file with format=json_array and staged transfer metadata. For Markdown sources (e.g. with YAML front matter), run prepare-embed-file-json first to emit a valid json_array file, then embed-file-json; add --show-progress to stream server WebSocket/status lines to stderr during the job wait (see CLI_README.md).

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 embed and embed_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 — [e-mail]