Skip to main content

NucliaDB Agentic API

The NucliaDB Agentic API package exposes NucliaDB-oriented agentic capabilities for Hyperforge, including ASK/search flows and MCP integrations.

Install

From the workspace root:

uv sync

Run

Start the service:

uv run nucliadb-agentic-api

Useful endpoints:

  • /health/ready
  • /health/alive
  • /metrics

Configuration

Runtime configuration is provided through environment variables consumed by Pydantic settings. Common settings include:

  • HTTP_HOST and HTTP_PORT
  • MEMORY_READER_NUCLIADB, MEMORY_WRITER_NUCLIADB, and MEMORY_SEARCH_NUCLIADB
  • MEMORY_APIKEY_NUCLIADB
  • VALKEY_URL
  • IDP_REGIONAL_GRPC
  • LOAD_MODULES

Development

Run the package tests from the workspace root:

make test

Objective

Enhance the RAG experience by offering RAO features directly in a KB.

How?

The same way we store search configs in the KB, we could store agentic configs, and when calling the /ask endpoint we can refer to a given agentic config.

Scope

The corresponding RAO workflow will be:

  • a Rephrase (optionally)
  • a SmartAgent
  • a Summarize

Possible sources for the SmartAgent:

  • The current KB (possibly several times with different filters)
  • Sync service (using connections defined in the current KB)
  • Google
  • Perplexity
  • MCP

Out of scope

  • Other KBs
  • SQL
  • Snowflake (?)
  • Sitefinity (?)

Config spec

{
  "rephrase": { // optional
    "ask_to": <filter_expression>, //optional
    "prompt": <string>, // optional
    "model": <model>, // optional
  },
  "smart_agent": {
    "mode": <reactive | plan_execute>,
    "extra_prompt": <string>, // optional
    "models": { // optional
      "context_validation": <model>, // optional
      "planner": <model>, // optional
      "executor": <model>, // optional
    },
    "sources": [<source list>]
  },
  "summarize": { // optional
    "user_prompt": <string>, // optional
    "system_prompt": <string>, // optional
    "conversational": <boolean>,
    "model": <model>, // optional
    // and citations must be forced to chunk-level
  }
}

And sources can be:

{
  "type": "nucliadb",
  "description": <string>,
  "filter_expression": <filter_expression>, //optional
}

{
  "type": "sync",
  "description": <string>,
  "connection": <connection_id>
}

{
  "type": "google",
  "description": <string>
}

{
  "type": "perplexity",
  "description": <string>
}

{
  "type": "mcp",
  "description": <string>,
  <...the MCP driver params>
}

Metadata

Release files for nucliadb-agentic-api 1.0.0.post161

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

Source distribution (sdist)

Source distribution for nucliadb-agentic-api 1.0.0.post161
File Size Uploaded
nucliadb_agentic_api-1.0.0.post161.tar.gz 39.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for nucliadb-agentic-api 1.0.0.post161
File Interpreter ABI Platform
nucliadb_agentic_api-1.0.0.post161-py3-none-any.whl Python 3 none any Details

Total release size: 88.6 kB

Release files / nucliadb_agentic_api-1.0.0.post161.tar.gz

Download URL nucliadb_agentic_api-1.0.0.post161.tar.gz
Size 39.9 kB
Tags Source
SHA-256 checksum
How to use checksums
f17d21e308f7e19a9bd475ada0cd1ad428bc3a2cdd06db9c47696ad00f6932a3
BLAKE2b-256 checksum
How to use checksums
2fa47bce4fccc512beece7c7152d326ee81b44fec75ee962ff32542b43446915
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.13

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jul 21, 2026.

Transparency log

Release files / nucliadb_agentic_api-1.0.0.post161-py3-none-any.whl

Download URL nucliadb_agentic_api-1.0.0.post161-py3-none-any.whl
Size 48.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
aa567269dac3a6a70b9991739796309cc1b0d1dea450e8cf9fc75fcfb80f7343
BLAKE2b-256 checksum
How to use checksums
2e71e8d491eaaab05fe344b0a0ce8def6ad13c0987fd6da2200aea0bf59fe885
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.13

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jul 21, 2026.

Transparency log
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