Robert Helewka
97a14fb03a
A self-contained sub-project under validator/ that wraps Mnemosyne's MCP server in a single FastAgent. Use it to confirm — outside of Daedalus — that Mnemosyne's MCP transport works, every tool registers, args/responses round-trip, and an LLM can actually drive the tools. The validator is its own Pallas-consuming project with its own pyproject (pallas-mcp + fast-agent-mcp), agents.yaml, and fastagent.config.yaml — matching the pattern used by Iolaus and other Pallas consumers. It does not import Mnemosyne Python code; it only speaks MCP over HTTP. The agent never sets workspace_id, so all calls run against the global scope (libraries with workspace_id IS NULL). Workspace-scoped validation will come once Daedalus's chat path is wired (Daedalus injects workspace_id server-side, force-overwriting whatever the LLM produces). Default model is openai.Qwen3.5-35B-A3B-UD-Q4_K_XL.gguf served by llama.cpp at nyx.helu.ca:22079/v1. Token provisioning via `python manage.py create_mcp_token --user <u> --name validator`. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
24 lines
557 B
TOML
24 lines
557 B
TOML
[project]
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name = "mnemosyne-validator"
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version = "0.1.0"
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description = "FastAgent + Pallas validator that talks to Mnemosyne's MCP server end-to-end"
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requires-python = ">=3.13"
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dependencies = [
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"pallas-mcp @ git+ssh://git@git.helu.ca:22022/r/pallas.git",
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"fast-agent-mcp>=0.6.10",
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"pyyaml>=6.0",
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]
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[project.scripts]
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mnemosyne-validator = "pallas.server:main"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.metadata]
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allow-direct-references = true
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[tool.hatch.build.targets.wheel]
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packages = ["agents"]
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