Skip to main content

RAGfly Python SDK

Official Python client for RAGfly. It speaks the English REST /v1 contract.

Using TypeScript/JavaScript? See the TypeScript SDK (npm install @ragfly/sdk) — same surface.

Install

pip install ragfly

Quick start

from ragfly import RAGfly

client = RAGfly(api_key="rf_...")

# RAG end to end
print(client.ask("What are the Q1 sales figures?").answer)

# Retrieval only
results = client.search("maintenance contracts", limit=5)
for doc in results.documents:
    print(doc.name, doc.max_similarity)

Operations

Everything the RAGfly application lets your user do is available as an operation, with the same permissions and audit as the web app.

ops = client.list_operations()["operations"]              # what this key can run
schema = client.get_operation("document_types.update")    # input_schema / output_schema

client.run_operation("document_types.update", {"code": "TDOC_...", "name": "Invoices"})

# write_confirm operations (deletes, reverts, resets) need confirm=True
preview = client.run_operation("document_types.delete", {"code": "TDOC_..."})
assert preview["executed"] is False
client.run_operation("document_types.delete", {"code": "TDOC_..."}, confirm=True)

Errors raise RAGflyError with status_code, the public code (NOT_FOUND, VALIDATION_ERROR, …) and details.

API keys

Create an API key from app.ragfly.ai → API Keys. A key only works on /v1; creating or revoking keys needs a signed-in person.

Methods

Area Methods
Session and documents session, set_active_entity, set_active_area, list_areas, list_locations, list_documents, get_document, document_edges, search, search_filtered
Working spaces list_spaces, get_space, refresh_space, promote_space, compose_spaces, read_space
Queue, catalog, skills queue, list_runs, catalog, list_document_types, list_characteristics, get_function, list_skills, get_skill, run_skill
Answers and agents ask, agent_context, run_agent_tool
Organization get_organization, update_organization, draft_organization
Usage, conversations, processes get_usage, list_conversations, delete_conversation, list_processes, get_process, update_process
Operations list_operations, get_operation, run_operation

Metadata

Release files for ragfly 0.5.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ragfly 0.5.0
File Size Uploaded Provenance
ragfly-0.5.0.tar.gz 11.4 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for ragfly 0.5.0
File Interpreter ABI Platform
ragfly-0.5.0-py3-none-any.whl Python 3 none any Details

Total release size: 19.3 kB

Release files / ragfly-0.5.0.tar.gz

Download URL ragfly-0.5.0.tar.gz
Size 11.4 kB
Tags Source
SHA-256 checksum
How to use checksums
8ddfa2a3a442dde856e8d478960d0724f47e8eb94e59ad18aa6d7f6837db1ba1
BLAKE2b-256 checksum
How to use checksums
64f6b449f9578da052779e58312ce6b91c5375ed32140c31b921447a3fd8aec7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / ragfly-0.5.0-py3-none-any.whl

Download URL ragfly-0.5.0-py3-none-any.whl
Size 7.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
c72cc74890420b8227faaf4c3e845b830a315a95fb58d12f361c208b94a1d70a
BLAKE2b-256 checksum
How to use checksums
9be58d9eb15bfd1609aa5538d6f0593b67b9304c3409c3dfddb4728449894adb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Security for ragfly 0.5.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page