# services/hermes/switchyard-configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: hermes-switchyard
  namespace: hermes
  labels:
    app: hermes-switchyard
data:
  routes.toml: |
    schema_version = 1

    [llm_clients.classifier]
    format = "openai_chat"
    base_url = "http://ollama.ai.svc.cluster.local:11434/v1"
    max_retries = 1

    [llm_clients.local_low]
    format = "openai_chat"
    base_url = "http://hermes-model-gate.hermes.svc.cluster.local:11434/v1"
    max_retries = 1

    [llm_clients.local_medium]
    format = "openai_chat"
    base_url = "http://hermes-model-gate.hermes.svc.cluster.local:11434/v1"
    max_retries = 1

    [llm_clients.codex_low]
    format = "openai_responses"
    base_url = "http://hermes-codex-broker.hermes.svc.cluster.local:9003/v1"
    api_key_env = "ATLAS_BROKER_KEY"
    max_retries = 1

    [llm_clients.codex_medium]
    format = "openai_responses"
    base_url = "http://hermes-codex-broker.hermes.svc.cluster.local:9003/v1"
    api_key_env = "ATLAS_BROKER_KEY"
    max_retries = 1

    [llm_clients.codex_high]
    format = "openai_responses"
    base_url = "http://hermes-codex-broker.hermes.svc.cluster.local:9003/v1"
    api_key_env = "ATLAS_BROKER_KEY"
    max_retries = 1

    [llm_clients.codex_xhigh]
    format = "openai_responses"
    base_url = "http://hermes-codex-broker.hermes.svc.cluster.local:9003/v1"
    api_key_env = "ATLAS_BROKER_KEY"
    max_retries = 1

    [llm_clients.claude_low]
    format = "anthropic_messages"
    base_url = "http://127.0.0.1:9006/v1"
    api_key_env = "ATLAS_BROKER_KEY"
    max_retries = 1

    [llm_clients.claude_medium]
    format = "anthropic_messages"
    base_url = "http://127.0.0.1:9006/v1"
    api_key_env = "ATLAS_BROKER_KEY"
    max_retries = 1

    [llm_clients.claude_high]
    format = "anthropic_messages"
    base_url = "http://127.0.0.1:9006/v1"
    api_key_env = "ATLAS_BROKER_KEY"
    max_retries = 1

    [llm_clients.claude_xhigh]
    format = "anthropic_messages"
    base_url = "http://127.0.0.1:9006/v1"
    api_key_env = "ATLAS_BROKER_KEY"
    max_retries = 1

    [llm_clients.worker_decision]
    format = "openai_chat"
    base_url = "http://127.0.0.1:9007/v1"
    max_retries = 0

    [targets.classifier]
    id = "qwen2.5:3b-instruct-q4_0"
    llm_client = "classifier"

    [targets.local_qwen_low]
    id = "route/local/qwen2.5-14b/low"
    llm_client = "local_low"
    extra_body = { reasoning_effort = "low" }

    [targets.local_qwen_medium]
    id = "route/local/qwen2.5-14b/medium"
    llm_client = "local_medium"
    extra_body = { reasoning_effort = "medium" }

    [targets.codex_luna_low]
    id = "route/codex/luna/low"
    llm_client = "codex_low"
    extra_body = { reasoning = { effort = "low" } }

    [targets.codex_terra_low]
    id = "route/codex/terra/low"
    llm_client = "codex_low"
    extra_body = { reasoning = { effort = "low" } }

    [targets.codex_terra_medium]
    id = "route/codex/terra/medium"
    llm_client = "codex_medium"
    extra_body = { reasoning = { effort = "medium" } }

    [targets.codex_terra_high]
    id = "route/codex/terra/high"
    llm_client = "codex_high"
    extra_body = { reasoning = { effort = "high" } }

    [targets.codex_sol_medium]
    id = "route/codex/sol/medium"
    llm_client = "codex_medium"
    extra_body = { reasoning = { effort = "medium" } }

    [targets.codex_sol_high]
    id = "route/codex/sol/high"
    llm_client = "codex_high"
    extra_body = { reasoning = { effort = "high" } }

    [targets.codex_sol_xhigh]
    id = "route/codex/sol/xhigh"
    llm_client = "codex_xhigh"
    extra_body = { reasoning = { effort = "xhigh" } }

    [targets.claude_haiku_low]
    id = "route/claude/haiku/low"
    llm_client = "claude_low"
    extra_body = { thinking = { type = "adaptive" }, output_config = { effort = "low" } }

    [targets.claude_sonnet_medium]
    id = "route/claude/sonnet/medium"
    llm_client = "claude_medium"
    extra_body = { thinking = { type = "adaptive" }, output_config = { effort = "medium" } }

    [targets.claude_sonnet_high]
    id = "route/claude/sonnet/high"
    llm_client = "claude_high"
    extra_body = { thinking = { type = "adaptive" }, output_config = { effort = "high" } }

    [targets.claude_opus_high]
    id = "route/claude/opus/high"
    llm_client = "claude_high"
    extra_body = { thinking = { type = "adaptive" }, output_config = { effort = "high" } }

    [targets.claude_opus_xhigh]
    id = "route/claude/opus/xhigh"
    llm_client = "claude_xhigh"
    extra_body = { thinking = { type = "adaptive" }, output_config = { effort = "xhigh" } }

    [targets.worker_codex_luna_low]
    id = "worker/codex/luna/low"
    llm_client = "worker_decision"

    [targets.worker_codex_terra_medium]
    id = "worker/codex/terra/medium"
    llm_client = "worker_decision"

    [targets.worker_codex_sol_high]
    id = "worker/codex/sol/high"
    llm_client = "worker_decision"

    [targets.worker_codex_sol_xhigh]
    id = "worker/codex/sol/xhigh"
    llm_client = "worker_decision"

    [targets.worker_claude_haiku_low]
    id = "worker/claude/haiku/low"
    llm_client = "worker_decision"

    [targets.worker_claude_sonnet_medium]
    id = "worker/claude/sonnet/medium"
    llm_client = "worker_decision"

    [targets.worker_claude_sonnet_high]
    id = "worker/claude/sonnet/high"
    llm_client = "worker_decision"

    [targets.worker_claude_opus_xhigh]
    id = "worker/claude/opus/xhigh"
    llm_client = "worker_decision"

    [routes.auto_fast]
    id = "atlas/auto/fast"
    type = "llm_classifier"
    mode = "custom"
    classifier_target = "classifier"
    targets = ["codex_terra_medium", "claude_sonnet_medium", "codex_luna_low", "claude_haiku_low", "local_qwen_low", "local_qwen_medium", "codex_terra_low", "codex_terra_high", "codex_sol_medium", "codex_sol_high", "codex_sol_xhigh", "claude_sonnet_high", "claude_opus_high", "claude_opus_xhigh"]
    default_target = "codex_terra_medium"
    max_output_tokens = 96
    session_affinity = false
    recent_turn_window = 8
    context_window = 272000
    tool_calling = true
    reasoning = true
    prompt = """
    You are the routing authority for a private family assistant. Choose exactly
    one configured target for this model-call boundary. Mildly favor fast and
    economical answers, but never trade away correctness for difficult,
    ambiguous, safety-sensitive, tool-heavy, or consequential work. Use local
    Qwen only for simple low-risk conversation, formatting, or continuity.
    Prefer Codex for implementation, debugging, tests, and direct repository
    work. Prefer Claude for architecture, ambiguity, long-context synthesis,
    risk analysis, and independent review. Interpret requests such as "answer
    quickly", "think hard", or "use Claude" semantically. An explicit user
    provider, model, or depth instruction wins unless it would undercut a clear
    safety floor. Every request is a fresh boundary; classify the actual current
    objective and recent context, including referential instructions like
    "continue" or "do it". Never select effort above xhigh.
    """
    response_schema = '''
    {"type":"object","properties":{"decision":{"type":"object","properties":{"target":{"type":"string","enum":["codex_terra_medium","claude_sonnet_medium","codex_luna_low","claude_haiku_low","local_qwen_low","local_qwen_medium","codex_terra_low","codex_terra_high","codex_sol_medium","codex_sol_high","codex_sol_xhigh","claude_sonnet_high","claude_opus_high","claude_opus_xhigh"]}},"required":["target"],"additionalProperties":false}},"required":["decision"],"additionalProperties":false}
    '''

    [routes.auto_fast.policy]
    type = "target_selector"
    selector = "/decision/target"

    [routes.auto_balanced]
    id = "atlas/auto/balanced"
    type = "llm_classifier"
    mode = "custom"
    classifier_target = "classifier"
    targets = ["codex_terra_medium", "claude_sonnet_medium", "codex_luna_low", "claude_haiku_low", "local_qwen_low", "local_qwen_medium", "codex_terra_low", "codex_terra_high", "codex_sol_medium", "codex_sol_high", "codex_sol_xhigh", "claude_sonnet_high", "claude_opus_high", "claude_opus_xhigh"]
    default_target = "codex_terra_medium"
    max_output_tokens = 96
    session_affinity = false
    recent_turn_window = 8
    context_window = 272000
    tool_calling = true
    reasoning = true
    prompt = """
    You are the routing authority for a private general assistant. Choose
    exactly one configured target for this model-call boundary. Balance latency,
    cost, and intelligence while giving difficult, uncertain, tool-heavy, or
    consequential work enough capability. Use local Qwen only for simple
    low-risk conversation, formatting, or continuity. Prefer Codex for
    implementation, debugging, tests, and direct repository work. Prefer Claude
    for architecture, ambiguity, long-context synthesis, risk analysis, and
    independent review. Interpret speed/depth and provider requests
    semantically; explicit user intent wins unless it undercuts a clear safety
    floor. Classify the actual current objective and recent context, including
    referential instructions such as "continue" or "do it". Never select effort
    above xhigh.
    """
    response_schema = '''
    {"type":"object","properties":{"decision":{"type":"object","properties":{"target":{"type":"string","enum":["codex_terra_medium","claude_sonnet_medium","codex_luna_low","claude_haiku_low","local_qwen_low","local_qwen_medium","codex_terra_low","codex_terra_high","codex_sol_medium","codex_sol_high","codex_sol_xhigh","claude_sonnet_high","claude_opus_high","claude_opus_xhigh"]}},"required":["target"],"additionalProperties":false}},"required":["decision"],"additionalProperties":false}
    '''

    [routes.auto_balanced.policy]
    type = "target_selector"
    selector = "/decision/target"

    [routes.auto_deep]
    id = "atlas/auto/deep"
    type = "llm_classifier"
    mode = "custom"
    classifier_target = "classifier"
    targets = ["claude_sonnet_high", "codex_sol_high", "codex_terra_medium", "claude_sonnet_medium", "codex_terra_high", "codex_sol_medium", "claude_opus_high", "codex_sol_xhigh", "claude_opus_xhigh", "codex_luna_low", "claude_haiku_low", "local_qwen_medium", "local_qwen_low", "codex_terra_low"]
    default_target = "claude_sonnet_high"
    max_output_tokens = 96
    session_affinity = false
    recent_turn_window = 12
    context_window = 272000
    tool_calling = true
    reasoning = true
    prompt = """
    You are the routing authority for operations triage. Choose exactly one
    configured target for this model-call boundary. Favor evidence, diagnosis,
    uncertainty handling, and correctness over marginal latency savings. Cheap
    routes are appropriate only for genuinely mechanical low-risk steps. Prefer
    Codex for implementation, debugging, tests, and repository work; prefer
    Claude for diagnosis, architecture, ambiguity, synthesis, risk analysis,
    and independent review. Interpret requests for speed, depth, or a provider
    semantically. Explicit user intent wins unless it violates a safety floor.
    Re-evaluate every current boundary using recent tool evidence and resolve
    referential instructions such as "continue" or "do it" from that context.
    Never select effort above xhigh.
    """
    response_schema = '''
    {"type":"object","properties":{"decision":{"type":"object","properties":{"target":{"type":"string","enum":["claude_sonnet_high","codex_sol_high","codex_terra_medium","claude_sonnet_medium","codex_terra_high","codex_sol_medium","claude_opus_high","codex_sol_xhigh","claude_opus_xhigh","codex_luna_low","claude_haiku_low","local_qwen_medium","local_qwen_low","codex_terra_low"]}},"required":["target"],"additionalProperties":false}},"required":["decision"],"additionalProperties":false}
    '''

    [routes.auto_deep.policy]
    type = "target_selector"
    selector = "/decision/target"

    [routes.auto_maximum]
    id = "atlas/auto/maximum"
    type = "llm_classifier"
    mode = "custom"
    classifier_target = "classifier"
    targets = ["codex_sol_high", "claude_opus_high", "claude_sonnet_high", "codex_terra_high", "codex_sol_xhigh", "claude_opus_xhigh", "codex_terra_medium", "claude_sonnet_medium", "codex_sol_medium", "codex_luna_low", "claude_haiku_low", "local_qwen_medium", "local_qwen_low", "codex_terra_low"]
    default_target = "codex_sol_high"
    max_output_tokens = 96
    session_affinity = false
    recent_turn_window = 16
    context_window = 272000
    tool_calling = true
    reasoning = true
    prompt = """
    You are the routing authority for an owner-only engineering agent. Choose
    exactly one configured target for this model-call boundary. Strongly favor
    correctness, verification, and task completion; do not waste premium
    capacity on truly mechanical steps. Prefer Codex for implementation,
    debugging, tests, and direct repository changes. Prefer Claude for
    architecture, difficult ambiguity, long-context synthesis, risk analysis,
    and independent review. Production changes, security, migrations, data-loss
    risk, destructive work, and critical final review require high or xhigh.
    Interpret user requests for speed, deeper thought, or a specific provider
    semantically. Explicit user intent wins unless it undercuts the safety
    floor. Re-evaluate every current boundary from the objective and recent tool
    evidence, including referential instructions such as "continue" or "do
    it". Never select effort above xhigh.
    """
    response_schema = '''
    {"type":"object","properties":{"decision":{"type":"object","properties":{"target":{"type":"string","enum":["codex_sol_high","claude_opus_high","claude_sonnet_high","codex_terra_high","codex_sol_xhigh","claude_opus_xhigh","codex_terra_medium","claude_sonnet_medium","codex_sol_medium","codex_luna_low","claude_haiku_low","local_qwen_medium","local_qwen_low","codex_terra_low"]}},"required":["target"],"additionalProperties":false}},"required":["decision"],"additionalProperties":false}
    '''

    [routes.auto_maximum.policy]
    type = "target_selector"
    selector = "/decision/target"

    [routes.worker_auto_maximum]
    id = "atlas/worker/auto/maximum"
    type = "llm_classifier"
    mode = "custom"
    classifier_target = "classifier"
    targets = ["worker_codex_sol_high", "worker_claude_sonnet_high", "worker_codex_sol_xhigh", "worker_claude_opus_xhigh", "worker_codex_terra_medium", "worker_claude_sonnet_medium", "worker_codex_luna_low", "worker_claude_haiku_low"]
    default_target = "worker_codex_sol_high"
    max_output_tokens = 96
    session_affinity = false
    recent_turn_window = 16
    context_window = 272000
    tool_calling = false
    reasoning = true
    prompt = """
    You are the sole routing authority for one durable engineering-worker
    launch. Choose exactly one configured worker target from the current
    objective, acceptance criteria, risk, and any prior-provider failure in the
    request. Prefer Codex for implementation, debugging, tests, and repository
    changes. Prefer Claude for architecture, ambiguity, synthesis, adversarial
    analysis, and independent review. Use low only for mechanical bounded work,
    medium for ordinary work, high for difficult or consequential work, and
    xhigh for critical security, migration, destructive-risk, or independent
    final review. Never exceed xhigh. If the request says a provider has failed
    or exhausted capacity, do not select that provider.
    """
    response_schema = '''
    {"type":"object","properties":{"decision":{"type":"object","properties":{"target":{"type":"string","enum":["worker_codex_sol_high","worker_claude_sonnet_high","worker_codex_sol_xhigh","worker_claude_opus_xhigh","worker_codex_terra_medium","worker_claude_sonnet_medium","worker_codex_luna_low","worker_claude_haiku_low"]}},"required":["target"],"additionalProperties":false}},"required":["decision"],"additionalProperties":false}
    '''

    [routes.worker_auto_maximum.policy]
    type = "target_selector"
    selector = "/decision/target"

    [routes.worker_manual_codex_low]
    id = "atlas/worker/manual/codex/low"
    type = "random"
    targets = ["worker_codex_luna_low"]

    [routes.worker_manual_codex_medium]
    id = "atlas/worker/manual/codex/medium"
    type = "random"
    targets = ["worker_codex_terra_medium"]

    [routes.worker_manual_codex_high]
    id = "atlas/worker/manual/codex/high"
    type = "random"
    targets = ["worker_codex_sol_high"]

    [routes.worker_manual_codex_xhigh]
    id = "atlas/worker/manual/codex/xhigh"
    type = "random"
    targets = ["worker_codex_sol_xhigh"]

    [routes.worker_manual_claude_low]
    id = "atlas/worker/manual/claude/low"
    type = "random"
    targets = ["worker_claude_haiku_low"]

    [routes.worker_manual_claude_medium]
    id = "atlas/worker/manual/claude/medium"
    type = "random"
    targets = ["worker_claude_sonnet_medium"]

    [routes.worker_manual_claude_high]
    id = "atlas/worker/manual/claude/high"
    type = "random"
    targets = ["worker_claude_sonnet_high"]

    [routes.worker_manual_claude_xhigh]
    id = "atlas/worker/manual/claude/xhigh"
    type = "random"
    targets = ["worker_claude_opus_xhigh"]

    # A zero-weight target is not selected initially. Switchyard still walks
    # this ordered list after 403/408/429/5xx, timeout, or transport failure.
    [routes.manual_codex_luna]
    id = "atlas/manual/codex/luna"
    type = "random"
    targets = ["codex_luna_low", "claude_haiku_low", "codex_terra_medium", "claude_sonnet_medium", "local_qwen_low"]
    weights = [1, 0, 0, 0, 0]
    context_window = 272000
    tool_calling = true
    reasoning = true

    [routes.manual_codex_terra]
    id = "atlas/manual/codex/terra"
    type = "random"
    targets = ["codex_terra_medium", "claude_sonnet_medium", "codex_sol_high", "claude_sonnet_high", "local_qwen_medium"]
    weights = [1, 0, 0, 0, 0]
    context_window = 272000
    tool_calling = true
    reasoning = true

    [routes.manual_codex_sol]
    id = "atlas/manual/codex/sol"
    type = "random"
    targets = ["codex_sol_high", "claude_opus_high", "claude_sonnet_high", "codex_terra_high", "local_qwen_medium"]
    weights = [1, 0, 0, 0, 0]
    context_window = 272000
    tool_calling = true
    reasoning = true

    [routes.manual_claude_haiku]
    id = "atlas/manual/claude/haiku"
    type = "random"
    targets = ["claude_haiku_low", "codex_luna_low", "claude_sonnet_medium", "codex_terra_medium", "local_qwen_low"]
    weights = [1, 0, 0, 0, 0]
    context_window = 272000
    tool_calling = true
    reasoning = true

    [routes.manual_claude_sonnet]
    id = "atlas/manual/claude/sonnet"
    type = "random"
    targets = ["claude_sonnet_high", "codex_sol_high", "claude_opus_high", "codex_terra_high", "local_qwen_medium"]
    weights = [1, 0, 0, 0, 0]
    context_window = 272000
    tool_calling = true
    reasoning = true

    [routes.manual_claude_opus]
    id = "atlas/manual/claude/opus"
    type = "random"
    targets = ["claude_opus_high", "codex_sol_high", "claude_sonnet_high", "codex_terra_high", "local_qwen_medium"]
    weights = [1, 0, 0, 0, 0]
    context_window = 272000
    tool_calling = true
    reasoning = true

    [routes.manual_local_qwen]
    id = "atlas/manual/local/qwen-14b"
    type = "random"
    targets = ["local_qwen_medium", "codex_terra_medium", "claude_sonnet_medium", "codex_luna_low", "claude_haiku_low"]
    weights = [1, 0, 0, 0, 0]
    context_window = 131072
    tool_calling = true
    reasoning = false