Create documentation for Omega Walls integration#462
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anviren wants to merge 1 commit intodeepset-ai:mainfrom
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Create documentation for Omega Walls integration#462anviren wants to merge 1 commit intodeepset-ai:mainfrom
anviren wants to merge 1 commit intodeepset-ai:mainfrom
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This PR adds Omega Walls to the Haystack integrations index.
Omega Walls is an open-source runtime trust boundary for RAG and AI agent pipelines.
It includes a Haystack adapter, `OmegaHaystackGuard`, that can wrap a Haystack pipeline and guard tool calls before execution.
Use case:
Haystack pipelines often ingest external or semi-trusted content such as documents, PDFs, web pages, support tickets, knowledge base articles, or tool outputs. In LLM-powered workflows, that content is meant to be data, but it can still influence the model context and downstream tool behavior.
Omega Walls helps separate untrusted content from control flow by adding checks around:
- model/input flow
- tool calls before execution
- memory-write candidates
- cross-document or cross-step prompt-injection pressure
- secret-exfiltration pressure
- tool/action abuse
Install:
pip install "omega-walls[integrations]"
Haystack example:
from omega.integrations import OmegaHaystackGuard
guard = OmegaHaystackGuard(profile="quickstart")
pipeline = guard.wrap_pipeline(
pipeline,
component_name="omega_guard_component",
)
safe_tool = guard.wrap_tool("network_post", network_post_fn)
Links:
GitHub: https://github.com/synqratech/omega-walls
PyPI: https://pypi.org/project/omega-walls/
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This PR adds Omega Walls to the Haystack integrations index.
Omega Walls is an open-source runtime trust boundary for RAG and AI agent pipelines.
It includes a Haystack adapter,
OmegaHaystackGuard, that can wrap a Haystack pipeline and guard tool calls before execution.Use case:
Haystack pipelines often ingest external or semi-trusted content such as documents, PDFs, web pages, support tickets, knowledge base articles, or tool outputs. In LLM-powered workflows, that content is meant to be data, but it can still influence the model context and downstream tool behavior.
Omega Walls helps separate untrusted content from control flow by adding checks around:
Install:
pip install "omega-walls[integrations]"Haystack example:
Links:
GitHub: https://github.com/synqratech/omega-walls
PyPI: https://pypi.org/project/omega-walls/