Katya Ryazantseva
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# Initial Consensus Layer FOCIL Metrics & Dashboard This document provides an overview of the FOCIL ([EIP-7805](https://eips.ethereum.org/EIPS/eip-7805)) metrics, including a description of each metric and screenshots for Lodestar. The dashboard was generated from a Kurtosis configuration with the following setup: ``` participants: - el_type: geth el_image: jihoonsg/geth-focil:dffb273 cl_type: lodestar cl_image: sibkatya/lodestar:focil-metrics-0529a69 count: 2 network_params: genesis_delay: 20 electra_fork_epoch: 0 eip7805_fork_epoch: 1 num_validator_keys_per_node: 256 snooper_enabled: true additional_services: - dora - tx_fuzz - spamoor - prometheus_grafana port_publisher: additional_services: enabled: true public_port_start: 65500 spamoor_params: spammers: - scenario: eoatx config: throughput: 100 - scenario: uniswap-swaps config: throughput: 100 - scenario: blob-combined config: throughput: 5 global_log_level: info ``` The json version of the dashboard can be found [here](https://github.com/ethpandaops/ethereum-package/pull/986/commits/842da84a7233b98ca76b49360b7b932a7213098e). ## Dashboard filters The dashboard's graphs can be filtered by consensus clients and their named instances, referred to as **jobs** in Kurtosis. Some metrics also include a **source** label, which allows you to group data by the origin of the inclusion list. Using the `Sum_by` filter provides granular insights into where the lists are coming from, such as `gossip` or `api`. ![Screenshot 2025-08-19 at 18.35.32](https://hackmd.io/_uploads/rkibd7ftll.png) ## Dashboard sections ### 1. Publishing and Broadcasting This section monitors the distribution of inclusion lists. The number of published lists should align with the `IL_COMMITTEE_SIZE` (currently 16). It also shows inclusion lists received via gossip and other potential sources. | Name | Type | Description | | :--- | :--- | :--- | | `beacon_inclusion_lists_published_total` | counter | Total number of published inclusion lists. | | `beacon_inclusion_lists_received_total` | counter | Total number of received inclusion lists. | | `beacon_inclusion_list_transactions_received_total` | counter | Total number of transactions in received inclusion lists. | | `beacon_inclusion_lists_arrival_time_seconds` | histogram | Inclusion list arrival time since the beginning of the slot. | ![Screenshot 2025-08-19 at 18.36.54](https://hackmd.io/_uploads/H1IL_QzKgl.png) ### 2. Validation This section provides insights into the validation process for inclusion lists, covering both inclusion lists being published and those being received from the network. You can track the number and size of both valid and invalid lists, with the reject reason for invalid lists available as a metric label. | Name | Type | Description | | :--- | :--- | :--- | | `beacon_inclusion_lists_valid_total` | counter | Total number of valid inclusion lists. | | `beacon_inclusion_lists_valid_size_bytes_total` | counter | Total size of valid inclusion lists in bytes. | | `beacon_inclusion_lists_invalid_total` | counter | Total number of invalid inclusion lists. | | `beacon_inclusion_lists_invalid_size_bytes_total` | counter | Total size of invalid inclusion lists in bytes. | | `beacon_inclusion_lists_validation_time_seconds` | histogram | Time taken to validate inclusion lists. | ![Screenshot 2025-08-19 at 18.37.56](https://hackmd.io/_uploads/Hk5FdmMYeg.png) ### 3. Fork Choice These metrics help to monitor FOCIL integrated into the fork choice rule. They help identify potential issues, such as equivocating inclusion lists or blocks that fail to satisfy their associated inclusion lists. | Name | Type | Description | | :--- | :--- | :--- | | `beacon_inclusion_lists_equivocating_total` | counter | Total number of equivocating inclusion lists. | | `beacon_inclusion_list_unsatisfied_blocks_total` | counter | Total number of unsatisfied inclusion list blocks. | ![Screenshot 2025-08-19 at 18.38.58](https://hackmd.io/_uploads/rk7p_7ftlg.png) ### 4. Engine API This section monitors the communication between the consensus client and the execution client. It tracks key Engine API calls and the number of inclusion list transactions being sent to the payload. | Name | Type | Description | | :--- | :--- | :--- | | `beacon_engine_getInclusionListV1_requests_total` | counter | The total number of `engine_getInclusionListV1` requests sent to the execution client. | | `beacon_engine_getInclusionListV1_requests_duration_seconds` | histogram | The duration of `engine_getInclusionListV1` requests. | | `beacon_engine_forkchoiceUpdatedV4_requests_total` | counter | The total number of `engine_forkchoiceUpdatedV4` requests sent to the execution client. | | `beacon_engine_forkchoiceUpdatedV4_requests_duration_seconds` | histogram | The duration of `engine_forkchoiceUpdatedV4` requests. | | `beacon_inclusion_list_transactions_sent_to_payload_total` | counter | The total number of transactions from inclusion lists sent to the execution payload. | ![Screenshot 2025-08-21 at 16.20.46](https://hackmd.io/_uploads/rJ8tji4Fxx.png) :::info **Open Questions:** 1. Do we need a `reason` label for `beacon_inclusion_lists_invalid_total` metric? It would probably be better to investigate it with the logs, as not many invalid ILs are expected. 2. Do we need `beacon_inclusion_lists_invalid_size_bytes_total` metric? 3. What metrics should have `source` label? 4. What other metrics can be useful to monitor EIP-7805? :::

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