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>
23 lines
1.1 KiB
Plaintext
23 lines
1.1 KiB
Plaintext
# Mnemosyne Validator — secrets template
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#
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# Copy to fastagent.secrets.yaml and fill in real values. The .yaml is
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# gitignored; the .yaml.example is committed.
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# ── LLM provider keys ───────────────────────────────────────────────────────
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# Local llama.cpp doesn't authenticate, but fast-agent requires the key field
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# to be present. "0000" or any non-empty string is fine.
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openai:
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api_key: "0000"
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# ── MCP server bearer tokens ────────────────────────────────────────────────
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mcp:
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servers:
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mnemosyne:
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headers:
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# Mnemosyne MCP server requires a bearer token when MCP_REQUIRE_AUTH=True.
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# Provision one with:
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# cd ../mnemosyne
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# python manage.py create_mcp_token --user <username> --name validator
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# then paste the printed token here (it is shown once and not retrievable).
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Authorization: "Bearer paste-mcp-token-here"
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