Move configuration to a YAML file, and make the tuning knobs configurable
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The thresholds Part H says to tune on the real inference hardware were hardcoded, so every adjustment would have been a PR. They now live in a `tuning:` section of a YAML config file, which also replaces flat environment variables as the home for structure (#32). - The file (NISSE_CONFIG, default ./nisse-dev.yaml) carries structure and holds no secrets: credentials are ${VAR} references resolved from the environment, and a reference to an unset variable is an error - The environment still wins: every existing NISSE_* variable overrides its key, and the file is optional, so .env and CI work unchanged - Validation stays fail-fast and reports every problem at once; unknown keys are errors, so a misspelt knob fails at startup instead of silently doing nothing - The config file joins the state store and .env in the check that refuses to start when they sit inside the workspace clone - Tuning covers the executor's turn and failure limits, the consult budget, the delegation caps, the command timeout and the tool output limit, which Workspace now takes as a setting; the defaults are the values the agent already ran with - llm.max_output_tokens reaches both LLM clients from the config docs/Tuning-Guide.md explains the knobs for someone learning local model tuning: how weights, quantization and the KV cache spend VRAM, what each knob does and what goes wrong at either extreme, and an order to tune in. nisse-dev.example.yaml documents every key and is checked by a test so it cannot drift. Closes #32 Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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@@ -3,7 +3,11 @@ name = "nisse-dev"
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version = "0.1.0"
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description = "Dev agent: plans and implements software projects, produces Gitea PRs"
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requires-python = ">=3.12"
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dependencies = ["nisse-core", "httpx>=0.27"]
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dependencies = [
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"nisse-core",
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"httpx>=0.27",
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"pyyaml>=6",
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]
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[project.scripts]
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nisse-dev = "nisse_dev.main:main"
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