Victor SDK - Protocol definitions for vertical development
Project description
Victor SDK
Protocol and type definitions for building Victor verticals without pulling in the Victor runtime.
Overview
Use victor-sdk when you want to author or publish a vertical package. Use
victor-ai when you want to run a vertical inside the Victor host runtime.
The supported external authoring model is contract-first:
- vertical packages depend on
victor-sdkonly - verticals declare tools, capabilities, prompts, teams, and workflow metadata through the SDK contract
victor-airemains responsible for runtime concerns such as agent creation, capability injection, and tool execution
Installation
SDK-only authoring
pip install victor-sdk
Runtime usage
pip install victor-ai
Stable SDK Surface
The core authoring surface is available from the top-level package:
from victor_sdk import (
CURRENT_DEFINITION_VERSION,
CapabilityIds,
CapabilityRequirement,
ToolNames,
ToolRequirement,
VerticalBase,
VerticalDefinition,
)
Key pieces:
VerticalBase: SDK base class for external verticalsToolNames: canonical SDK-owned tool identifiersCapabilityIds: canonical SDK-owned runtime capability identifiersToolRequirement/CapabilityRequirement: typed requirement declarationsVerticalDefinition: validated serializable manifest returned byget_definition()
Quick Start
from victor_sdk import (
CapabilityIds,
CapabilityRequirement,
ToolNames,
ToolRequirement,
VerticalBase,
)
class SecurityVertical(VerticalBase):
name = "security"
description = "Security analysis and audit workflows"
version = "1.0.0"
@classmethod
def get_name(cls) -> str:
return cls.name
@classmethod
def get_description(cls) -> str:
return cls.description
@classmethod
def get_tool_requirements(cls) -> list[ToolRequirement]:
return [
ToolRequirement(ToolNames.READ, purpose="inspect code and configs"),
ToolRequirement(ToolNames.GREP, purpose="search for vulnerable patterns"),
ToolRequirement(ToolNames.SHELL, required=False, purpose="run scanners"),
ToolRequirement(ToolNames.WEB_SEARCH, required=False, purpose="look up CVEs"),
]
@classmethod
def get_capability_requirements(cls) -> list[CapabilityRequirement]:
return [
CapabilityRequirement(
capability_id=CapabilityIds.FILE_OPS,
purpose="read repository contents",
),
CapabilityRequirement(
capability_id=CapabilityIds.WEB_ACCESS,
optional=True,
purpose="fetch external security references",
),
]
@classmethod
def get_system_prompt(cls) -> str:
return "You are a security-focused assistant."
@classmethod
def get_prompt_templates(cls) -> dict[str, str]:
return {
"audit": "Audit the target for security issues and explain severity."
}
@classmethod
def get_task_type_hints(cls) -> dict[str, dict[str, object]]:
return {
"audit": {
"hint": "Start with read-first reconnaissance, then validate findings.",
"tool_budget": 12,
"priority_tools": [ToolNames.READ, ToolNames.GREP, ToolNames.SHELL],
}
}
@classmethod
def get_team_declarations(cls) -> dict[str, dict[str, object]]:
return {
"security_review_team": {
"name": "Security Review Team",
"formation": "pipeline",
"members": [
{
"role": "researcher",
"goal": "Inspect the target and identify likely risks.",
},
{
"role": "reviewer",
"goal": "Validate findings before escalation.",
},
],
}
}
definition = SecurityVertical.get_definition()
assert definition.definition_version == "1.0"
assert definition.tools == [ToolNames.READ, ToolNames.GREP, ToolNames.SHELL, ToolNames.WEB_SEARCH]
assert definition.team_metadata.teams[0].team_id == "security_review_team"
Definition Contract
VerticalBase.get_definition() is the preferred SDK contract. It returns a
validated VerticalDefinition manifest that contains:
definition_version- canonical tool identifiers
- typed tool and capability requirements
- system prompt text
- prompt metadata and task-type hints
- team metadata such as declarative team layouts and the default team identifier
- declarative stage definitions
- workflow metadata such as initial stage, provider hints, and evaluation criteria
Compatibility note:
get_config()still exists as a bridge for current victor-ai integrationsVerticalDefinition.to_config()/from_config()bridge the legacy config shapeVerticalDefinition.from_dict()supports serialized manifest round-tripping
Packaging
Register the vertical via the standard Victor entry point:
[project]
name = "victor-security"
version = "1.0.0"
dependencies = ["victor-sdk>=1.0.0"]
[project.entry-points."victor.verticals"]
security = "victor_security:SecurityVertical"
Discovery
Victor discovers external verticals through Python entry points:
from victor_sdk.discovery import get_global_registry
registry = get_global_registry()
verticals = registry.get_verticals()
Guides And Examples
- Vertical Development Guide
- Migration Guide
- Minimal SDK-only example
- Repository external package example
Testing
pip install -e ".[dev]"
pytest victor-sdk/tests -q
To verify compatibility with the runtime as well:
pip install -e ".[dev]" victor-ai
pytest victor-sdk/tests/unit tests/integration/test_sdk_integration.py -q
Versioning
The package follows semantic versioning, and the manifest contract is versioned
separately via VerticalDefinition.definition_version. External verticals
should treat the SDK contract as the source of truth for supported identifiers
and manifest fields.
Links
- Repository: https://github.com/vjsingh1984/victor
- Issues: https://github.com/vjsingh1984/victor/issues
Project details
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