# dsh-plugin-recursive-harness bundle layer, applied when a profile lists this bundle.
# To change a setting, patch row id `recursive-harness` in your profile's
# cordis.patch.yml (for the web profile: ~/.dsh/profiles/web/cordis.patch.yml).
# A patch replaces the whole `config`; keys you leave out fall back to the defaults below.
#
#   - id: recursive-harness
#     config:
#       proposer:
#         engine: llm
#         endpoint: http://127.0.0.1:8000/v1/chat/completions
#         model: my-model
#       probe:
#         provider: my-provider      # a provider id from your profile's llm-pi-ai rows
#         model: my-model
#
- insert:
    - id: recursive-harness
      name: dsh-plugin-recursive-harness
      config:
        mode: full                   # full (service + /harness command) | apply-only (probe child processes only)
        # baseDir: ~/.dsh/recursive-harness   # default: $DSH_HOME/recursive-harness; the three dirs below are relative to it
        harnessDir: active           # the harness version mounted into every new Session
        storageDir: state            # manifest, checkpoints, snapshots, session sidecars
        experienceDir: experience    # cross-task experience library (INDEX.md + entries)
        sectionOrder: 760            # system prompt section order of the mounted harness
        maxConcurrency: 2            # parallel probe child processes (1-8)
        maxTokensPerIteration: 120000   # token budget of one evolution run (all probes together)
        maxWallTimeMs: 300000        # wall-clock budget of one evolution run
        probeTimeoutMs: 600000       # one probe child process
        enableRuntimeStagnation: false   # stage 4 runtime stagnation detector (tools/post-execute)
        stagnationThreshold: 3
        lockedSurfaces: []           # extra paths a candidate may never touch (AGENTS.md, .dsh, .git are always locked)
        protectedPatterns: []        # extra regex sources that reject a candidate when matched (e.g. a production system name)
        proposer:
          engine: template           # template (fixed text, no model) | llm (OpenAI-compatible chat completions)
          endpoint: http://127.0.0.1:8000/v1/chat/completions
          model: ""                  # required for llm
          apiKeyEnv: ""              # env var holding the key; empty when the endpoint needs none
          allowEgress: false         # must be true before anything goes to a non-loopback endpoint
          allowHttpHosts: []         # non-loopback hosts that may be reached over plain http
          judge: false               # model judge as the third comparison tier (never overrides objective checks)
          jsonMode: false            # send response_format json_object (vLLM, OpenAI); helps models that add prose around the JSON
          timeoutMs: 120000
          temperature: 0.7
          maxTokens: 8000
          extraBody: {}              # merged into each request, e.g. { chat_template_kwargs: { enable_thinking: false } }
          maxCandidateChars: 6000    # cap per harness component / skill body
        probe:
          templateProfile: web       # the profile whose model rows and credentials each probe child inherits
          # templateDshHome: ~/.dsh  # default: $DSH_HOME
          provider: ""               # override the probe child's default model (provider id from llm-pi-ai)
          model: ""
          # dshCliEntry: /path/to/@deepseek-ai/dsh/lib/bin.js   # auto-detected inside dsh; or env DSH_CLI_ENTRY
          blockedTools: []           # tasks that require one of these tools are never probed automatically