409 lines
19 KiB
YAML
409 lines
19 KiB
YAML
test_env: dev-corp
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profile: dev-corp-provider-pool
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last_updated_at: "2026-07-08"
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source:
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remote_runner:
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ssh: fe@172.24.63.178
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repo_root: /Users/fe/agent-work/iop-dev-corp
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setup_required: true
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setup_status: deployed
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current_observation: /Users/fe/agent-work/iop-dev-corp checkout and build/dev-corp-runtime runtime were created on 2026-06-25, clean-synced/rebuilt at source ref 2d08d24 on 2026-07-06, then validated with the provider-pool thinking-policy patch and gemma4:26b default_thinking_token_budget config update; /Users/fe/iop-field remains unrelated legacy field state
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clean_sync:
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- git fetch origin main
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- git reset --hard origin/main
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- git clean -fd
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dirty_policy: discard
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edge:
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id: dev-corp-edge
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host: mac-mini
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ssh: fe@172.24.63.178
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os: macOS 26.2
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hardware: Apple M2 Pro / 16GB
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config_path: build/dev-corp-runtime/edge.yaml
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control_plane_enabled_current_runtime: true
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control_plane_http: http://127.0.0.1:18002
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control_plane_status_url: http://127.0.0.1:18002/edges/dev-corp-edge/status
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control_plane_client_ws_runner: ws://127.0.0.1:19004/client
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control_plane_edge_wire_addr_runner: 127.0.0.1:19005
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public_route_policy: default_dev_corp_external_route_uses_115_public_ip
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edge_deploy_172_policy: explicit_user_request_only
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public_route_note: 115.21.224.82 is the default dev-corp Edge deployment and smoke route; Edge deployment to 172.24.63.178 is prohibited by default and allowed only when the user explicitly requests the 172 route. 172.24.63.178 otherwise remains the mac-mini runner and node-only/internal route.
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control_plane_http_public: http://115.21.224.82:18002
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control_plane_client_ws_public: ws://115.21.224.82:19004/client
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bootstrap_http_public: http://115.21.224.82:18085
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bootstrap_http_node_internal: http://172.24.63.178:18085
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openai_base_url_public: http://115.21.224.82:18086/v1
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openai_base_url_node_internal: http://172.24.63.178:18086/v1
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openai_base_url_runner: http://127.0.0.1:18086/v1
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openai_api_key_required_current_runtime: true
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openai_api_key_secret_path_remote: build/dev-corp-runtime/.secrets/openai_api_key
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openai_api_key_value_tracked: false
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edge_node_tcp_public: 115.21.224.82:18087
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edge_node_tcp_node_internal: 172.24.63.178:18087
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admin_addr_runner: 127.0.0.1:19094
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build:
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binaries:
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control_plane: build/dev-corp-runtime/bin/control-plane
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edge: build/dev-corp-runtime/bin/iop-edge
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node_macos: build/dev-corp-runtime/bin/iop-node-darwin-arm64
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node_linux_arm64: build/dev-corp-runtime/bin/iop-node-linux-arm64
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node_windows_amd64: null
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node_windows_amd64_note: not part of the default dev-corp provider pool
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model:
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alias: gemma4:26b
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alias_status: candidate
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alias_policy: expose one IOP model alias and map provider-specific served_model values per provider
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provider_capacity_total: 13
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provider_capacity_status: verified_with_control_plane_provider_snapshots_2026_07_06
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context_window_max: 262144
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default_thinking_token_budget: 1024
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reasoning_policy: bounded_thinking_enabled
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think_policy:
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default: enabled
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strict_output_behavior: provider_pool_catalog_default_overrides_strict_disable
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adapter_mapping: vllm_and_vllm_mlx_use_chat_template_kwargs_enable_thinking_true
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pi_agent_profile:
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current_default_provider: dev-corp-direct
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current_default_served_model: mlx-community/gemma-4-26b-a4b-it-nvfp4
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current_default_runtime: mac_studio_vllm_mlx
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thinking_level: high
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compat:
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supports_strict_mode: true
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thinking_format: chat-template
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chat_template_kwargs:
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enable_thinking: thinking.enabled
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fallback_provider:
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provider: dev-corp-spark01
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served_model: gemma-4-26B-A4B-it-NVFP4
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runtime: dgx_spark_01_vllm
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note: Pi local settings should use the same model-specific parser/template policy as the provider runtime; do not copy Gemma parser/template values to Qwen providers.
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timeout_policy:
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openai_timeout_sec: 1800
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provider_queue_timeout_ms: 0
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provider_queue_timeout_policy: disabled_no_iop_queue_timeout
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backend_request_timeout_ms: 1800000
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note: provider-pool long reasoning and long-context requests do not use an IOP queue timeout; backend/OpenAI run budgets remain 30 minutes
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runtime_capacity_targets:
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dgx_spark:
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capacity: 4
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context_window_max: 262144
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kv_size_tokens_effective: 524288
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kv_size_basis: requested minimum 262144x2; verify actual vLLM KV cache from startup log because gpu_memory_utilization controls available KV cache
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fp4_moe_env: VLLM_MAX_TOKENS_PER_EXPERT_FP4_MOE=4194304
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mac_studio:
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capacity: 5
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context_window_max: 262144
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kv_size_tokens_effective: 786432
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kv_size_basis: requested 262144x3 mapped to vLLM-MLX max_kv_size
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capacity_smoke:
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endpoints:
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- /v1/responses
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- /v1/chat/completions
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concurrent_requests: capacity_plus_one
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expected_total_in_flight: 13
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expected_total_in_flight_status: verified_2026_07_06
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expected_min_queued: 1
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extended_concurrent_requests: 16
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extended_expected_min_queued: 3
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prompt_policy: long_reasoning_allowed
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think_policy: enabled_for_provider_pool
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exact_output_match: false
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latest_capacity_verification:
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date: "2026-07-06"
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source_ref: 2d08d240d48a954df6847df2ba08fb8b39fc3f7d
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edge_runtime_patch: provider_pool_thinking_policy_enabled_under_strict_output
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default_thinking_token_budget: 1024
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control_plane_enabled: true
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control_plane_status_url: http://127.0.0.1:18002/edges/dev-corp-edge/status
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provider_snapshot_baseline:
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total_capacity: 13
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providers:
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corp-dgx-spark-01-vllm:
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capacity: 4
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health: healthy
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status: available
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corp-dgx-spark-02-vllm:
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capacity: 4
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health: healthy
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status: available
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corp-mac-studio-mlx-vllm:
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capacity: 5
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health: healthy
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status: available
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responses:
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concurrent_requests: 14
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ok: 14
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timeout_errors: 0
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http_errors: 0
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max_total_in_flight: 13
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max_total_queued: 3
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provider_max:
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corp-dgx-spark-01-vllm:
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max_in_flight: 4
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max_queued: 1
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corp-dgx-spark-02-vllm:
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max_in_flight: 4
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max_queued: 1
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corp-mac-studio-mlx-vllm:
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max_in_flight: 5
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max_queued: 1
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final_recovery: in_flight_0_queued_0
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chat_completions:
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concurrent_requests: 14
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ok: 14
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timeout_errors: 0
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http_errors: 0
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max_total_in_flight: 13
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max_total_queued: 3
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provider_max:
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corp-dgx-spark-01-vllm:
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max_in_flight: 4
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max_queued: 1
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corp-dgx-spark-02-vllm:
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max_in_flight: 4
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max_queued: 1
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corp-mac-studio-mlx-vllm:
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max_in_flight: 5
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max_queued: 1
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final_recovery: in_flight_0_queued_0
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latest_runtime_update:
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date: "2026-06-25"
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reason: user requested dev-corp node capacity/context/KV alignment
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requested_targets:
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dgx_spark:
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capacity: 4
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context_window_max: 262144
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kv_size: 262144x2
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mac_studio:
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capacity: 5
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context_window_max: 262144
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kv_size: 262144x3
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applied_mapping:
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dgx_spark: vLLM has no vLLM-MLX style max_kv_size flag; requested KV 262144x2 is validated from startup log KV cache size and max_model_len 262144
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mac_studio: vLLM-MLX requested KV 262144x3 is represented as max_kv_size 786432 with max_request_tokens 262144
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remediation_applied:
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- DGX Spark vLLM FP4 MoE first profile required VLLM_MAX_TOKENS_PER_EXPERT_FP4_MOE=4194304 for max_num_batched_tokens 524288
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- DGX Spark 01/02 Gemma4 agent serving now uses vLLM 0.24.0 with text-only/eager profile to keep native tool-call streaming stable for Pi/Cline-style agents
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- DGX Spark 01 start script now prefixes /home/digitalcommerce_dgx_spark_01/vllm_env_0_24_0/bin
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- Mac Studio vLLM-MLX pyexpat required DYLD_LIBRARY_PATH=/opt/homebrew/opt/expat/lib
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verification:
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last_rechecked_at: "2026-07-08"
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mac_studio_health: passed
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dgx01_health: passed
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dgx02_health: passed
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direct_health_observation:
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dgx01: mac-mini http://192.168.2.2:8002 returned /health 200 and /v1/models exposed gemma-4-26B-A4B-it-NVFP4 after vLLM 0.24.0 text-only/eager restart with default_chat_template_kwargs.enable_thinking=true; direct API forced/auto/streaming tool-call smoke and local Pi TUI bash/git-push tool-call flows passed; startup log reported GPU KV cache size 1,453,705 tokens and 5.55x concurrency for 262,144-token requests
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dgx02: node-local http://127.0.0.1:8004 and mac-mini http://192.168.2.4:8004 returned /health 200, /v1/models exposed gemma-4-26B-A4B-it-NVFP4 after Docker image vllm/vllm-openai:v0.24.0 text-only/eager restart with default_chat_template_kwargs.enable_thinking=true; direct API auto/streaming tool-call smoke passed; startup log reported GPU KV cache size 1,452,633 tokens and 5.54x concurrency for 262,144-token requests
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mac_studio: node-local http://127.0.0.1:8004 and mac-mini http://192.168.2.3:8004 returned /health 200, /v1/models exposed mlx-community/gemma-4-26b-a4b-it-nvfp4, direct concurrency 1..5 chat completion benchmark passed, and direct API auto/streaming/multi-turn tool-result final-answer smoke passed
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edge_openai_smoke: passed_with_control_plane_capacity_snapshot_2026_07_06
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nodes:
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- id: corp-dgx-spark-01-vllm-node
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alias: corp-dgx-spark-01-vllm
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role: vllm-provider
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ssh: digitalcommerce_dgx_spark_01@192.168.2.2
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ssh_origin: mac-mini
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workspace: /home/digitalcommerce_dgx_spark_01
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provider_pool_candidate: true
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provider:
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id: corp-dgx-spark-01-vllm
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type: vllm
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endpoint: http://192.168.2.2:8002/v1
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edge_adapter_endpoint: http://127.0.0.1:8002/v1
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health: http://192.168.2.2:8002/health
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served_model: gemma-4-26B-A4B-it-NVFP4
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capacity: 4
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capacity_status: configured_health_passed_direct_smoke_and_edge_capacity_smoke
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last_runtime_observation: upgraded on 2026-07-08 to vLLM 0.24.0 with text-only/eager Gemma4 agent profile and default_chat_template_kwargs.enable_thinking=true; mac-mini http://192.168.2.2:8002 returned /health 200 and /v1/models, direct API forced/auto/streaming tool-call smoke passed, and local Pi TUI via SSH tunnel completed bash and git push tool-call flows; startup log reported GPU KV cache size 1,453,705 tokens and 5.55x concurrency for 262,144-token requests
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capacity_basis: dev-corp target baseline; vLLM 0.24.0 --max-num-seqs 4, --max-model-len 262144, --gpu-memory-utilization 0.40, text-only/eager profile; observed KV cache satisfies requested 262144x2 minimum
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queue_timeout_ms: 0
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request_timeout_ms: 1800000
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edge_connectivity:
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mode: reverse_ssh_tunnel
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reason: current node.yaml uses tunnel-local Edge addr in the native provider-pool runtime
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tunnel_pid_file: /Users/fe/agent-work/iop-dev-corp/build/dev-corp-runtime/node01-tunnel.pid
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remote_forwards:
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artifact: 127.0.0.1:28085 -> mac-mini 127.0.0.1:18085
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edge_node_tcp: 127.0.0.1:28087 -> mac-mini 127.0.0.1:18087
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runtime:
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host: spark-0b30
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os: Ubuntu 24.04.3 LTS / aarch64
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hardware: NVIDIA DGX Spark / NVIDIA GB10 / 119GiB RAM
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manager: tmux
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tmux_session: vllm_server_8002
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start_script: /home/digitalcommerce_dgx_spark_01/start_vllm_8002.sh
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python: /home/digitalcommerce_dgx_spark_01/vllm_env_0_24_0/bin/python3
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path_prefix_required: /home/digitalcommerce_dgx_spark_01/vllm_env_0_24_0/bin
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path_prefix_reason: FlashInfer FP4 JIT invokes ninja from PATH during first compile
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package_baseline:
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vllm: 0.24.0
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torch: 2.11.0+cu130
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transformers: 5.13.0
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flashinfer_python: 0.6.12
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huggingface_hub: 1.22.0
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args:
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env:
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PATH_prefix: /home/digitalcommerce_dgx_spark_01/vllm_env_0_24_0/bin
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VLLM_MAX_TOKENS_PER_EXPERT_FP4_MOE: "4194304"
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host: 0.0.0.0
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port: 8002
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dtype: bfloat16
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gpu_memory_utilization: 0.40
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max_model_len: 262144
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max_num_seqs: 4
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enforce_eager: true
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skip_mm_profiling: true
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limit_mm_per_prompt:
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image: 0
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video: 0
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mm_processor_cache_gb: 0
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text_only_mode: true
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enable_auto_tool_choice: true
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tool_call_parser: gemma4
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chat_template: /home/digitalcommerce_dgx_spark_01/tool_chat_template_gemma4.jinja
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reasoning_parser: gemma4
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max_num_batched_tokens: auto_2496
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max_num_batched_tokens_note: vLLM raised the default from 2048 to 2496 for the Gemma4 prefix-LM/video path; it is a scheduler iteration budget, not the total KV cache size
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context_window_max: 262144
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kv_size_tokens_effective: 1453705
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full_context_concurrency_observed: 5.55
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default_chat_template_kwargs:
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enable_thinking: true
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- id: corp-dgx-spark-02-vllm-node
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alias: corp-dgx-spark-02-vllm
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role: vllm-provider
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ssh: dplab@192.168.2.4
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ssh_origin: mac-mini
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workspace: /home/dplab
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provider_pool_candidate: true
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provider:
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id: corp-dgx-spark-02-vllm
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type: vllm
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endpoint: http://192.168.2.4:8004/v1
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edge_adapter_endpoint: http://127.0.0.1:8004/v1
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health: http://192.168.2.4:8004/health
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served_model: gemma-4-26B-A4B-it-NVFP4
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capacity: 4
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capacity_status: configured_health_passed_direct_smoke_and_edge_capacity_smoke
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last_runtime_observation: upgraded on 2026-07-08 to Docker image vllm/vllm-openai:v0.24.0 with text-only/eager Gemma4 agent profile and default_chat_template_kwargs.enable_thinking=true; node-local and mac-mini /health passed, /v1/models exposed gemma-4-26B-A4B-it-NVFP4, and direct API auto plus streaming tool-call smoke passed; startup log reported GPU KV cache size 1,452,633 tokens and 5.54x concurrency for 262,144-token requests
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capacity_basis: dev-corp target baseline; Docker publishes host 8004 to container 8004; vLLM 0.24.0 --max-num-seqs 4, --max-model-len 262144, --gpu-memory-utilization 0.40, text-only/eager profile; observed KV cache satisfies requested 262144x2 minimum
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queue_timeout_ms: 0
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request_timeout_ms: 1800000
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edge_connectivity:
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mode: reverse_ssh_tunnel
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reason: node02 cannot reach mac-mini 172.24.63.178:18085/18086 directly from 192.168.2.4
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tunnel_pid_file: /Users/fe/agent-work/iop-dev-corp/build/dev-corp-runtime/node02-tunnel.pid
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remote_forwards:
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artifact: 127.0.0.1:28085 -> mac-mini 127.0.0.1:18085
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edge_node_tcp: 127.0.0.1:28087 -> mac-mini 127.0.0.1:18087
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runtime:
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host: spark-fb94
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os: Ubuntu 24.04.3 LTS / aarch64
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hardware: NVIDIA DGX Spark / NVIDIA GB10 / 119GiB RAM
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manager: docker
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container_name: vllm-gemma4
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start_script: /home/dplab/start_vllm_gemma4_8004.sh
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env_file: /home/dplab/.config/iop-dev-corp/vllm-gemma4.env
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env_file_contains_secret: true
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image: vllm/vllm-openai:v0.24.0
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container_port: 8004
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host_port: 8004
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package_baseline:
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vllm: 0.24.0
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torch: 2.11.0+cu130
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transformers: 5.12.1
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flashinfer_python: 0.6.12
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huggingface_hub: 1.21.0
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args:
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env:
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VLLM_MAX_TOKENS_PER_EXPERT_FP4_MOE: "4194304"
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gpu_memory_utilization: 0.40
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max_model_len: 262144
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max_num_seqs: 4
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enforce_eager: true
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skip_mm_profiling: true
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limit_mm_per_prompt:
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image: 0
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video: 0
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mm_processor_cache_gb: 0
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text_only_mode: true
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enable_auto_tool_choice: true
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tool_call_parser: gemma4
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chat_template: /vllm-workspace/examples/tool_chat_template_gemma4.jinja
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reasoning_parser: gemma4
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max_num_batched_tokens: auto_2496
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max_num_batched_tokens_note: vLLM raised the default from 2048 to 2496 for the Gemma4 prefix-LM/video path; it is a scheduler iteration budget, not the total KV cache size
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context_window_max: 262144
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kv_size_tokens_effective: 1452633
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full_context_concurrency_observed: 5.54
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default_chat_template_kwargs:
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enable_thinking: true
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- id: corp-mac-studio-mlx-vllm-node
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alias: corp-mac-studio-mlx-vllm
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role: vllm-mlx-provider
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ssh: dc_dev@192.168.2.3
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ssh_origin: mac-mini
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workspace: /Users/dc_dev
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provider_pool_candidate: true
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provider:
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id: corp-mac-studio-mlx-vllm
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type: openai_compat
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runtime_type: vllm-mlx
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endpoint: http://192.168.2.3:8004/v1
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edge_adapter_endpoint: http://127.0.0.1:8004/v1
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health: http://192.168.2.3:8004/health
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served_model: mlx-community/gemma-4-26b-a4b-it-nvfp4
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capacity: 5
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capacity_status: configured_health_passed_direct_smoke_and_edge_capacity_smoke
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last_runtime_observation: screen vllm_mlx_8004 running with provider catalog capacity 5, runtime headroom max_num_seqs 6, max_request_tokens 262144, max_kv_size 786432, and default_chat_template_kwargs.enable_thinking=true; node-local and mac-mini /health passed, /v1/models exposed mlx-community/gemma-4-26b-a4b-it-nvfp4, direct concurrency 1..5 chat completion benchmark passed, and direct API auto, streaming, plus multi-turn tool-result final-answer smoke passed
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capacity_basis: provider catalog capacity 5; vllm-mlx runtime headroom uses --max-num-seqs 6 with requested KV 262144x3 mapped to --max-kv-size 786432
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queue_timeout_ms: 0
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request_timeout_ms: 1800000
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runtime:
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host: dc-devui-MacStudio.local
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os: macOS 26.2
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hardware: Apple M3 Ultra / 512GB RAM / 80-core GPU
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manager: screen
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manager_status: detached screen session vllm_mlx_8004; DYLD_LIBRARY_PATH=/opt/homebrew/opt/expat/lib is required for pyexpat on this host
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screen_session: vllm_mlx_8004
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start_script: /Users/dc_dev/iop-dev-corp-field/start_vllm_mlx_8004.sh
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python: /Users/dc_dev/vllm-env/bin/python
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package_baseline:
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vllm_mlx: 0.3.0
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mlx: 0.31.2
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mlx_lm: 0.31.3
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mlx_vlm: 0.6.3
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torch: 2.12.1
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transformers: 5.12.1
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huggingface_hub: 1.20.1
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args:
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host: 0.0.0.0
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port: 8004
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continuous_batching: true
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max_num_seqs: 6
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prefill_batch_size: 6
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completion_batch_size: 6
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chunked_prefill_tokens: 1024
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max_kv_size: 786432
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max_request_tokens: 262144
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context_window_max: 262144
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kv_size_tokens_effective: 786432
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enable_auto_tool_choice: true
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tool_call_parser: gemma4
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reasoning_parser: gemma4
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default_chat_template_kwargs:
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enable_thinking: true
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secondary_provider_candidate:
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id: corp-mac-studio-mlx-vlm-diffusiongemma
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type: mlx-vlm
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endpoint: http://192.168.2.3:8005/v1
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health: http://192.168.2.3:8005/health
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served_model: mlx-community/diffusiongemma-26B-A4B-it-OptiQ-4bit
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include_in_default_pool: false
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note: exposes multiple models and should be routed only after alias/capacity policy is decided
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