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>
33 lines
1.5 KiB
YAML
33 lines
1.5 KiB
YAML
# Mnemosyne Validator — FastAgent + MCP configuration
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#
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# Secrets (api_key, MCP bearer tokens) live in fastagent.secrets.yaml
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# (gitignored) and merge with this file at runtime.
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# Local llama.cpp on Nyx (OpenAI-compatible). Override via
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# fastagent.secrets.yaml if you want to point at a different model server.
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default_model: openai.Qwen3.5-35B-A3B-UD-Q4_K_XL.gguf
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# Capabilities for the model — Pallas registers it with fast-agent's
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# ModelDatabase using these values. vision: true so we can validate image
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# round-trip later (search returns image candidates by default).
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model_capabilities:
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vision: true
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context_window: 192000
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max_output_tokens: 16384
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# ── LLM Providers ───────────────────────────────────────────────────────────
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openai:
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base_url: "http://nyx.helu.ca:22079/v1"
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# ── MCP Servers ─────────────────────────────────────────────────────────────
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mcp:
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servers:
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# Mnemosyne MCP server — Streamable HTTP at /mcp.
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# Default assumes the validator runs on the same host as Mnemosyne;
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# override the URL in fastagent.secrets.yaml or via Ansible if remote.
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mnemosyne:
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transport: http
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url: "http://localhost:22091/mcp"
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# Bearer token in fastagent.secrets.yaml (provisioned via
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# `python manage.py create_mcp_token <user>`).
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