diff --git a/lib/orchestrator.mjs b/lib/orchestrator.mjs index 9cd598f..0bced6b 100644 --- a/lib/orchestrator.mjs +++ b/lib/orchestrator.mjs @@ -102,6 +102,7 @@ export async function runHarness(question, deps) { maybeInjectConnectivityStep(ledger, question, log) maybeInjectRegionNeuronCountStep(ledger, question, log) maybeInjectScrnaseqStep(ledger, question, log) + maybeInjectCountQueryStep(ledger, question, log) continue } if (action.action === 'run_step') { @@ -663,6 +664,72 @@ export function maybeInjectRegionNeuronCountStep(ledger, question, log = () => { log({ inject: 'vfb_get_region_neuron_count', region: name }) } +const COUNT_INTENT_RE = /\b(how many|how much|number of|count of)\b/i +const COUNT_STOPWORDS = new Set([ + 'how', 'many', 'much', 'number', 'count', 'available', 'there', 'the', 'and', 'for', + 'with', 'some', 'part', 'parts', 'that', 'this', 'which', 'what', 'are', 'have', 'has' +]) + +function countQueryWords(s = '') { + return (String(s).toLowerCase().match(/[a-z0-9]+/g) || []) + .filter(w => w.length > 2 && !COUNT_STOPWORDS.has(w)) +} + +/** + * For a "how many X of " question, pick the single term-info query whose + * label best matches the question's distinctive words (ignoring the term's own + * name — every query label repeats it). Returns a query only when there is an + * UNAMBIGUOUS best match, so we never auto-run the wrong query. + */ +export function pickBestQueryForQuestion(question, digest) { + const queries = Array.isArray(digest?.queries) ? digest.queries : [] + if (!queries.length) return null + const termWords = new Set(countQueryWords(digest?.name || '')) + const qWords = new Set(countQueryWords(question)) + if (!qWords.size) return null + let best = null + let bestScore = 0 + let secondScore = 0 + for (const q of queries) { + let score = 0 + for (const w of countQueryWords(q.label)) { + if (termWords.has(w)) continue + if (qWords.has(w)) score++ + } + if (score > bestScore) { secondScore = bestScore; bestScore = score; best = q } + else if (score > secondScore) { secondScore = score } + } + return (bestScore >= 1 && bestScore > secondScore) ? best : null +} + +/** + * Auto-run the matching term-info query for a count question ("how many images + * of neurons in ", "how many subclasses of ", …) so the answer + * gives the actual number instead of telling the user to run the query. This is + * what surfaces the count for queries get_term_info returns uncounted (count -1). + * Skipped when a specialised count/graph/expression step already covers it, or + * when the match is ambiguous. Idempotent. + */ +export function maybeInjectCountQueryStep(ledger, question, log = () => {}) { + const q = String(question || '') + if (!COUNT_INTENT_RE.test(q)) return + if (ledger.plan.some(s => /run_query|region_neuron_count|connectivity|scrnaseq/i.test(s.tool))) return + const terms = Object.values(ledger.terms || {}).filter(t => t.id && t.digest?.queries?.length) + if (terms.length !== 1) return + const t = terms[0] + const best = pickBestQueryForQuestion(q, t.digest) + if (!best?.query_type) return + ledger.plan.push({ + id: `cq${ledger.plan.length + 1}`, + tool: 'vfb_run_query', + answers: [q], + args: { id: t.id, query_type: best.query_type }, + status: 'pending', + note: `auto-injected count step (count question → run ${best.query_type})` + }) + log({ inject: 'vfb_run_query', query_type: best.query_type, id: t.id }) +} + export function pickBestTermId(search, queryName = '') { const docs = search?.response?.docs || search?.docs || [] const valid = docs.filter(d => { diff --git a/test-results/task-battery/latest.json b/test-results/task-battery/latest.json index cc2e7ff..9cc1060 100644 --- a/test-results/task-battery/latest.json +++ b/test-results/task-battery/latest.json @@ -1,9 +1,9 @@ { "metadata": { - "run_id": "task-battery-2026-07-14T20-47-48-621Z", - "started_at": "2026-07-14T20:47:48.621Z", - "completed_at": "2026-07-14T20:51:39.698Z", - "git_sha": "1ffba63b41bb52f8bed25fed37ea429a89c77868", + "run_id": "task-battery-2026-07-14T21-26-14-145Z", + "started_at": "2026-07-14T21:26:14.145Z", + "completed_at": "2026-07-14T21:30:43.687Z", + "git_sha": "97ec3f3305d661e3adf695c5ffeba3c93e68964e", "task_file": "/home/runner/work/VFBchat/VFBchat/VFBchat/tests/task-battery/tasks.json", "base_url": "http://127.0.0.1:3210", "started_server": true, @@ -53,11 +53,10 @@ }, "quality": { "no_tool_factual_answer": { - "count": 4, + "count": 3, "task_ids": [ - "D5", + "D6", "D12", - "D13", "D16" ] }, @@ -95,7 +94,7 @@ "task_ids": [] } }, - "mean_duration_ms": 17484 + "mean_duration_ms": 20395 }, "results": [ { @@ -109,7 +108,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 12908, + "duration_ms": 12272, "status_messages": [ { "message": "Thinking...", @@ -132,12 +131,12 @@ "phase": "llm" } ], - "event_count": 225, - "request_id": "16df7e34-e2c4-4e40-96d5-ea267c9e233d", - "response_id": "chatcmpl-75354172618ad6d3d447974ff6ff3d7f", + "event_count": 211, + "request_id": "b7c83d8c-5861-4696-afcf-bc0a1d8f2df2", + "response_id": "chatcmpl-08796bca42ffaa779335f309d6a64c61", "images_count": 8, "graphs_count": 0, - "response": "The major subdivisions of the Drosophila [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") are the calyx, pedunculus, and mushroom body lobe system. This information comes from the VFB database. VFB records show that the mushroom body is divided into these three parts: the calyx, which receives sensory interneuron afferents; the pedunculus, a thick axon bundle extending from the calyx to the base of the lobes; and the mushroom body lobe system, which consists of a vertical branch and a medial branch. \n\nVFB holds a range of data related to the mushroom body, including images, neurons with some part in the mushroom body, and parts of the mushroom body. Specifically, VFB has annotated [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") neurons with some part in the mushroom body, [601](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in mushroom body\") neurons with synaptic terminals in the mushroom body, and [176](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,PartsOf \"Run in VFB: Parts of mushroom body\") parts of the mushroom body. \n\nFor further information, you can explore the available data in VFB, such as the images of the mushroom body, the neurons with synaptic terminals in the mushroom body, or the parts of the mushroom body.", + "response": "The major subdivisions of the Drosophila [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") are the calyx, pedunculus, and mushroom body lobe system, as recorded in VFB. VFB describes the mushroom body as divided into: the calyx, which is closest to the cortex and receives sensory interneuron afferents; the pedunculus, which is a thick axon bundle extending from the calyx to the base of the lobes; and the mushroom body lobe system, which consists of a vertical branch and a medial branch, which have different structures at different life stages. VFB holds various data related to the mushroom body, including images, neurons with some part in the mushroom body, and parts of the mushroom body, with counts of [2](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,ListAllAvailableImages \"Run in VFB: List all available images of mushroom body\") images, [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") neurons with some part in the mushroom body, and [176](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,PartsOf \"Run in VFB: Parts of mushroom body\") parts of the mushroom body. For further information, you can explore the available data in VFB, such as listing all available images of mushroom body or neurons with synaptic terminals in mushroom body.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -148,7 +147,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1537, + "response_chars": 1483, "status_count": 5 } }, @@ -163,7 +162,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 13743, + "duration_ms": 13497, "status_messages": [ { "message": "Thinking...", @@ -186,12 +185,12 @@ "phase": "llm" } ], - "event_count": 189, - "request_id": "76e4804c-626a-445c-8143-ca768a7796ac", - "response_id": "chatcmpl-4d0e8189f84f86025aa796348343e23a", + "event_count": 199, + "request_id": "5cc6e3b5-539b-478b-81fc-3397a8cd39ed", + "response_id": "chatcmpl-116cac7a0c88e15a8101756963938988", "images_count": 8, "graphs_count": 0, - "response": "The adult Drosophila brain contains several types of Kenyon cells. According to VFB, subclasses of [Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00003686 \"Open Kenyon cell in Virtual Fly Brain\") include [37](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,SubclassesOf \"Run in VFB: Subclasses of Kenyon cell\") types, such as [[KCab-c](https://www.virtualflybrain.org/reports/FBbt_00110929 \"Open KCab-c in Virtual Fly Brain\")(i)](https://www.virtualflybrain.org/reports/FBbt_00049111 \"Open KCab-c(i) in Virtual Fly Brain\"), KCab-c, [KCg-m](https://www.virtualflybrain.org/reports/FBbt_00111061 \"Open KCg-m in Virtual Fly Brain\"), [Kenyon cell of main calyx](https://www.virtualflybrain.org/reports/FBbt_00047926 \"Open Kenyon cell of main calyx in Virtual Fly Brain\"), and [gamma Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100247 \"Open gamma Kenyon cell in Virtual Fly Brain\"). VFB also records that there are alpha/beta, alpha'/beta', and gamma Kenyon cells, which are further subdivided into subtypes. VFB holds 37 records of subclasses of Kenyon cell and provides various data related to Kenyon cells, including images, scRNAseq data, transgene expression, and connectivity classes. For more specific information, you can explore the available data, such as listing all available images of Kenyon cell, which totals [32328](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,ListAllAvailableImages \"Run in VFB: List all available images of Kenyon cell\") records, or examining the downstream and upstream connectivity classes for Kenyon cell, which comprise [10073](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for Kenyon cell\") and [11243](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for Kenyon cell\") records, respectively.", + "response": "The types of Kenyon cells in the adult Drosophila brain include [[KCab-c](https://www.virtualflybrain.org/reports/FBbt_00110929 \"Open KCab-c in Virtual Fly Brain\")(i)](https://www.virtualflybrain.org/reports/FBbt_00049111 \"Open KCab-c(i) in Virtual Fly Brain\"), KCab-c, [KCg-m](https://www.virtualflybrain.org/reports/FBbt_00111061 \"Open KCg-m in Virtual Fly Brain\"), [[Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00003686 \"Open Kenyon cell in Virtual Fly Brain\") of main calyx](https://www.virtualflybrain.org/reports/FBbt_00047926 \"Open Kenyon cell of main calyx in Virtual Fly Brain\"), and [gamma Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100247 \"Open gamma Kenyon cell in Virtual Fly Brain\"), as well as alpha/beta Kenyon cell, alpha'/beta' Kenyon cell, and adult gamma Kenyon cell. VFB records show that there are several subclasses of Kenyon cell, with [37](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,SubclassesOf \"Run in VFB: Subclasses of Kenyon cell\") listed. These can be further subdivided into subtypes such as core, surface, posterior, anterior-posterior, middle, and dorsal. VFB holds 37 records of subclasses of Kenyon cell, and also has annotated scRNAseq data for Kenyon cell, transgene expression in Kenyon cell, downstream connectivity classes for Kenyon cell, and upstream connectivity classes for Kenyon cell. To explore the specific characteristics of each type, you can query the available images of Kenyon cell, which VFB holds [32328](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,ListAllAvailableImages \"Run in VFB: List all available images of Kenyon cell\") records of.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -202,7 +201,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 2021, + "response_chars": 1695, "status_count": 5 } }, @@ -217,7 +216,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 11382, + "duration_ms": 13053, "status_messages": [ { "message": "Thinking...", @@ -240,12 +239,12 @@ "phase": "llm" } ], - "event_count": 160, - "request_id": "046ded5f-9848-4430-b3f5-b3d09dc50301", - "response_id": "chatcmpl-181da05e5708b51d4b2b572aab07da44", + "event_count": 187, + "request_id": "ee23be67-7c9a-4647-91d8-9d62489669a5", + "response_id": "chatcmpl-352aea3d2d07370d9ebc6a46ce8e6747", "images_count": 8, "graphs_count": 0, - "response": "The main input neurons to the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") are sensory interneurons, as VFB records show the calyx, which is closest to the cortex, receives sensory interneuron afferents. Additionally, VFB data indicates that projection neurons from the antennal lobe also provide input to the mushroom body, with the calyx receiving sensory interneuron afferents. VFB holds records of [366](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in mushroom body\") neurons with presynaptic terminals in the mushroom body and [304](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPostsynapticHere \"Run in VFB: Neurons with postsynaptic terminals in mushroom body\") neurons with postsynaptic terminals in the mushroom body, which may be relevant to understanding the inputs to the mushroom body. To further explore the connectivity of the mushroom body, you can examine the available data on neurons with some part in the mushroom body, including images and information on specific neuron types.", + "response": "The main input neurons to the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") are sensory interneurons, according to the VFB database. VFB records show that the calyx, which is closest to the cortex, receives sensory interneuron afferents. Additionally, VFB data indicates that other main input neurons to the mushroom body include projection neurons from the antennal lobe, as well as sensory interneuron afferents to the calyx and neurons with presynaptic terminals in the mushroom body. This includes larval antennal lobe multiglomerular projection neurons and larval uniglomerular projection neurons. VFB holds [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") records of neurons with some part in the mushroom body, [601](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in mushroom body\") records of neurons with synaptic terminals in the mushroom body, and [366](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in mushroom body\") records of neurons with presynaptic terminals in the mushroom body, which may provide further information on the connectivity of the mushroom body.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -256,7 +255,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1209, + "response_chars": 1445, "status_count": 5 } }, @@ -271,7 +270,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 11323, + "duration_ms": 10329, "status_messages": [ { "message": "Thinking...", @@ -294,12 +293,12 @@ "phase": "llm" } ], - "event_count": 125, - "request_id": "14e1db47-b877-4de5-ba84-a26d3ea9c4c9", - "response_id": "chatcmpl-e190d48ab2a15aeff0ac12893d5388a0", + "event_count": 107, + "request_id": "1e5eae3b-4225-4d2f-a14e-758d53359519", + "response_id": "chatcmpl-dd1ed20f23cd3b5dd8503651a10bc8de", "images_count": 8, "graphs_count": 0, - "response": "The neurotransmitter used by [Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00003686 \"Open Kenyon cell in Virtual Fly Brain\") is indicated by VFB neurotransmitter tags to be acetylcholine, with VFB supporting Kenyon cell as cholinergic. VFB holds various data related to Kenyon cell, including [32328](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,ListAllAvailableImages \"Run in VFB: List all available images of Kenyon cell\") images, [37](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,SubclassesOf \"Run in VFB: Subclasses of Kenyon cell\") subclasses, [79](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,anatScRNAseqQuery \"Run in VFB: scRNAseq data for Kenyon cell\") scRNAseq data records, [92](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,TransgeneExpressionHere \"Run in VFB: Transgene expression in Kenyon cell\") transgene expression records, [10073](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for Kenyon cell\") downstream connectivity classes, and [11243](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for Kenyon cell\") upstream connectivity classes. To find more specific information on the neurotransmitter profile, the VFB query can be used, as referenced in the VFB data.", + "response": "The neurotransmitter used by [Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00003686 \"Open Kenyon cell in Virtual Fly Brain\") is indicated by VFB neurotransmitter tags to be acetylcholine, with VFB supporting Kenyon cell as cholinergic. VFB holds various data related to Kenyon cell, including a large number of images, subclasses, scRNAseq data, transgene expression data, and both downstream and upstream connectivity classes. To learn more about the neurotransmitter profile of Kenyon cell, you can use the VFB query.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -310,7 +309,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1527, + "response_chars": 532, "status_count": 5 } }, @@ -325,7 +324,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 11175, + "duration_ms": 12828, "status_messages": [ { "message": "Thinking...", @@ -344,11 +343,7 @@ "phase": "mcp" }, { - "message": "Querying VFB", - "phase": "mcp" - }, - { - "message": "Checking the literature", + "message": "Querying VFB connectivity", "phase": "mcp" }, { @@ -356,12 +351,12 @@ "phase": "llm" } ], - "event_count": 141, - "request_id": "49a58b14-dcf8-4329-b41d-2725e65e0a93", - "response_id": "chatcmpl-5fb836eaceff0a7aaba1a88894031b73", + "event_count": 126, + "request_id": "e4ae3f09-b6b8-4ed2-9ba6-6d9f2b84adc3", + "response_id": "chatcmpl-7543a0b6574e12abb369086fc01009c7", "images_count": 6, "graphs_count": 0, - "response": "The [antennal lobe](https://www.virtualflybrain.org/reports/FBbt_00003924 \"Open antennal lobe in Virtual Fly Brain\") connects to the lateral horn and the mushroom body, as stated in the literature (PMID: 27871975). VFB holds various data related to the antennal lobe, including images, neurons with some part in the antennal lobe, neurons with synaptic terminals in the antennal lobe, and parts of the antennal lobe. To explore the connectivity of the antennal lobe in more detail, you can query VFB for specific data, such as the number of neurons with presynaptic terminals in the antennal lobe or the number of tracts/nerves innervating the antennal lobe.", + "response": "The [antennal lobe](https://www.virtualflybrain.org/reports/FBbt_00003924 \"Open antennal lobe in Virtual Fly Brain\") connects to the mushroom body and lateral horn, as indicated by the description of antennal lobe projection neuron axons in VFB. VFB holds various data related to the antennal lobe, including a list of available images, neurons with some part in the antennal lobe, and parts of the antennal lobe. To learn more about the specific connections, you can query VFB for neurons with presynaptic or postsynaptic terminals in the antennal lobe, or explore the tracts and nerves innervating the antennal lobe.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -372,8 +367,8 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 658, - "status_count": 7 + "response_chars": 618, + "status_count": 6 } }, { @@ -387,7 +382,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 7932, + "duration_ms": 8979, "status_messages": [ { "message": "Thinking...", @@ -410,12 +405,12 @@ "phase": "llm" } ], - "event_count": 40, - "request_id": "f1cbd1f5-353c-4797-95a3-19db70fbc56d", - "response_id": "chatcmpl-586111c2cda89c01bdaec09ca991198c", + "event_count": 115, + "request_id": "50b0fea4-f949-4aca-846d-a6790304d473", + "response_id": "chatcmpl-dbcccd2f21dbd2c81515507962e02a07", "images_count": 8, "graphs_count": 0, - "response": "VFB has annotated [9413](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047887,NeuronsPartHere \"Run in VFB: Neurons with some part in adult central brain\") neuron types with some part in the [adult central brain](https://www.virtualflybrain.org/reports/FBbt_00047887 \"Open adult central brain in Virtual Fly Brain\"). The connectome data indicates that there are more than 125,000 neurons.\n\n**Published neuron-count estimates — adult central brain** (from the literature):\n\n- more than 125,000 neurons (adult Drosophila central brain connectome/model) — A Drosophila computational brain model reveals sensorimotor processing. — PMID 39358519\n- ~139,255 neurons (whole adult Drosophila brain) — Neuronal wiring diagram of an adult brain. — PMID 39358518\n\n_VFB has annotated 9,413 neuron types with some part in adult central brain — a curated annotation count, not the biological total._", + "response": "VFB has annotated [9413](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047887,NeuronsPartHere \"Run in VFB: Neurons with some part in adult central brain\") neuron types with some part in the [adult central brain](https://www.virtualflybrain.org/reports/FBbt_00047887 \"Open adult central brain in Virtual Fly Brain\"). Additionally, VFB records show more than 125,000 neurons. The connectome data indicates a specific number of neurons with some part in the adult central brain, but this should not be taken as the biological total. For the adult central brain, VFB holds 9413 records of neurons with some part in this region, [462](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047887,PartsOf \"Run in VFB: Parts of adult central brain\") records of parts of the adult central brain, and [1](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047887,TransgeneExpressionHere \"Run in VFB: Transgene expression in adult central brain\") record of transgene expression in the adult central brain.\n\n**Published neuron-count estimates — adult central brain** (from the literature):\n\n- more than 125,000 neurons (adult Drosophila central brain connectome/model) — A Drosophila computational brain model reveals sensorimotor processing. — PMID 39358519\n- ~139,255 neurons (whole adult Drosophila brain) — Neuronal wiring diagram of an adult brain. — PMID 39358518\n\n_VFB has annotated 9,413 neuron types with some part in adult central brain — a curated annotation count, not the biological total._", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -426,7 +421,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 909, + "response_chars": 1554, "status_count": 5 } }, @@ -441,7 +436,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 12999, + "duration_ms": 9200, "status_messages": [ { "message": "Thinking...", @@ -616,12 +611,12 @@ "phase": "llm" } ], - "event_count": 358, - "request_id": "e619429a-2367-403b-8a7a-808dd042a613", - "response_id": "chatcmpl-0c600f407e5ede180766a8de94752ffd", + "event_count": 173, + "request_id": "ddedb0e0-5ca4-4e44-8a78-44ed449889a1", + "response_id": "chatcmpl-cc3e0fbef810159d74d6a8c2df317a39", "images_count": 0, "graphs_count": 0, - "response": "To address the question about the main components of the Drosophila central complex and their associated functions, we need to look at available data and literature. \n\nThe Drosophila central complex is a crucial structure in the insect brain, involved in various functions including spatial memory, navigation, and the control of locomotor behaviors. The main components of the central complex include the ellipsoid body, the protocerebral bridge, the noduli, and the fan-shaped body.\n\nThe ellipsoid body is thought to be involved in spatial memory and orientation (as discussed in Seelig and Jayaraman, 2013, PMID: 23332763, and Wolff et al., 2015, PMID: 26457613). The protocerebral bridge is associated with the processing of visual information for navigation (discussed in Wolff et al., 2015, PMID: 26457613). The fan-shaped body has been implicated in the control of locomotor behaviors and spatial memory (discussed in Pfeiffer and Homberg, 2014, PMID: 25280975, and Heinze and Homberg, 2007, PMID: 17920017). The noduli are also part of this complex but less is known about their specific functions compared to the other components.\n\nVFB does not currently hold detailed, specific data on the functions of each component of the Drosophila central complex. For more detailed information, consulting specific publications or databases focused on Drosophila neuroscience would be necessary.", + "response": "The Drosophila central complex is a critical structure in the insect brain, involved in various functions such as spatial navigation, locomotion, and sensory integration. However, VFB does not currently hold specific data on the main components of the Drosophila central complex. \n\nTo find more information on this topic, you can query the VFB database for annotations related to the central complex, or explore the available datasets and tools for Drosophila neuroscience research. \n\nIt is recommended to consult the relevant scientific literature, such as publications on the Drosophila central complex, for a more comprehensive understanding of its components and associated functions.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -632,7 +627,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1399, + "response_chars": 688, "status_count": 43 } }, @@ -647,7 +642,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 11847, + "duration_ms": 12353, "status_messages": [ { "message": "Thinking...", @@ -674,12 +669,12 @@ "phase": "llm" } ], - "event_count": 226, - "request_id": "dfe93f1b-efac-4414-9610-25251bd01953", - "response_id": "chatcmpl-d436efd4eb7a88d30a4351f18836f0ae", + "event_count": 235, + "request_id": "5b797c13-ce89-4c8e-b634-7941a03f8819", + "response_id": "chatcmpl-1c7b720fb990708b66c5b2a41e672a94", "images_count": 8, "graphs_count": 0, - "response": "To determine the genetic tools commonly used to label [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") neurons in Drosophila, we would typically look for information in scientific publications or databases that specialize in Drosophila genetics and neuroscience. However, based on the information provided, we cannot directly identify specific genetic tools used for labeling mushroom body neurons.\n\nVFB holds extensive data related to the mushroom body, including images, neurons with various types of connections to the mushroom body, parts of the mushroom body, and lineage clones found within it. For example, VFB has annotated [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") neurons with some part in the mushroom body and [27,619](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,ImagesNeurons \"Run in VFB: Images of neurons with some part in mushroom body\") images of neurons with some part in the mushroom body. While this data indicates a significant amount of information about the mushroom body and its connected neurons, it does not specify the genetic tools used for labeling these neurons.\n\nWithout specific evidence or citations from publications, we cannot accurately list the genetic tools commonly used for this purpose. Further research into scientific literature or databases such as FlyBase, which contains comprehensive genetic and genomic information about Drosophila, would be necessary to find the desired information.", + "response": "To determine the genetic tools commonly used to label [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") neurons in Drosophila, we would typically look for information in scientific publications or databases that specialize in Drosophila genetics and neuroscience. However, based on the information provided, we do not have direct access to specific publications or databases that list these tools.\n\nVFB holds extensive data on the mushroom body, including images, neurons with various types of connections to the mushroom body, parts of the mushroom body, and lineage clones found in the mushroom body. For example, VFB has annotated [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") neurons with some part in the mushroom body and [27619](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,ImagesNeurons \"Run in VFB: Images of neurons with some part in mushroom body\") images of neurons with some part in the mushroom body. While this data indicates the complexity and detail of information available on the mushroom body, it does not directly answer the question about genetic tools used for labeling.\n\nWithout specific evidence from publications or databases, I am uncertain about the commonly used genetic tools for labeling mushroom body neurons in Drosophila. For accurate information, consulting the latest research articles or databases such as FlyBase, which is a comprehensive database of Drosophila genetics and molecular biology, would be necessary.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -690,7 +685,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1643, + "response_chars": 1656, "status_count": 6 } }, @@ -705,7 +700,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 149394, + "duration_ms": 208509, "status_messages": [ { "message": "Thinking...", @@ -1048,12 +1043,12 @@ "phase": "llm" } ], - "event_count": 356, - "request_id": "1cb09623-4659-491e-8bdc-2ed822aba32f", - "response_id": "chatcmpl-9dda68fbdc14ba2b2a220d3c29da9ea3", + "event_count": 334, + "request_id": "dc86bea9-a9b7-484c-bad6-bbb73264372d", + "response_id": "chatcmpl-32c6e736beeb2490a2dbd2c8184829cb", "images_count": 8, "graphs_count": 0, - "response": "The dopaminergic input to mushroom body output neurons (MBONs) is provided by adult dopaminergic mushroom body input neurons. VFB holds various data related to these neurons, including their subclasses, scRNAseq data, transgene expression, and upstream and downstream connectivity classes. For example, VFB has annotated [69](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,SubclassesOf \"Run in VFB: Subclasses of MBON\") subclasses of MBON and [158](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,TransgeneExpressionHere \"Run in VFB: Transgene expression in MBON\") records of transgene expression in MBON. \n\nTo determine which specific types of adult dopaminergic mushroom body input neurons (also known as Dopaminergic Neurons, DANs) connect to which types of MBONs, one can query the upstream connectivity classes for MBON, of which VFB has annotated [23753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") records. Similarly, querying the downstream connectivity classes for [adult dopaminergic mushroom body input neuron](https://www.virtualflybrain.org/reports/FBbt_00049839 \"Open adult dopaminergic mushroom body input neuron in Virtual Fly Brain\"), which are available in VFB, may provide insight into the specific connections between DAN types and MBON types. \n\nVFB does not currently hold specific information on the connectivity between [larval mushroom body dopaminergic neuron h1](https://www.virtualflybrain.org/reports/FBbt_00111634 \"Open larval mushroom body dopaminergic neuron h1 in Virtual Fly Brain\") and MBONs in the adult stage, but it does have data on the transgene expression and connectivity classes for larval mushroom body dopaminergic neuron h1. \n\nTo further investigate the connections between specific DAN types and MBON types, one could run queries on the upstream and downstream connectivity classes for these neurons using VFB.", + "response": "The dopaminergic input to mushroom body output neurons (MBONs) is a complex system, and the specific connections between different types of dopaminergic neurons and MBONs are not fully described in the provided evidence. However, VFB holds a range of data that may be relevant to understanding these connections. \n\nVFB has annotated a large number of records related to the upstream and downstream connectivity of MBONs, with [23753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") upstream connectivity classes and [29859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") downstream connectivity classes. Additionally, VFB holds data on the subclasses of MBONs, with [69](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,SubclassesOf \"Run in VFB: Subclasses of MBON\") subclasses annotated. \n\nFor adult dopaminergic mushroom body input neurons, VFB has data on their subclasses, transgene expression, and connectivity, although the exact number of records is not specified and would require running a query to determine. \n\nThe [larval mushroom body dopaminergic neuron h1](https://www.virtualflybrain.org/reports/FBbt_00111634 \"Open larval mushroom body dopaminergic neuron h1 in Virtual Fly Brain\") also has associated data in VFB, including transgene expression and connectivity classes, but again, the specifics would require querying the database.\n\nTo determine which types of adult dopaminergic mushroom body input neurons connect to which types of MBONs, it would be necessary to consult the specific connectivity data held in VFB, which is not provided in the evidence.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -1064,7 +1059,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 2031, + "response_chars": 1828, "status_count": 85 } }, @@ -1079,7 +1074,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 11613, + "duration_ms": 11239, "status_messages": [ { "message": "Thinking...", @@ -1106,12 +1101,12 @@ "phase": "llm" } ], - "event_count": 193, - "request_id": "79ea0358-93b4-4be3-950e-f1d5f68f0fff", - "response_id": "chatcmpl-c733f11257dc18597f4f72625cd171ce", + "event_count": 167, + "request_id": "8f48f277-17b7-4156-84aa-3ded600186de", + "response_id": "chatcmpl-9f603d3ff4598ce428201e03a3fb6bfb", "images_count": 8, "graphs_count": 0, - "response": "The connectivity of olfactory projection neurons can be explored in the context of the Hemibrain and FAFB connectome datasets. VFB holds various data related to olfactory projection neurons, including their downstream and upstream connectivity classes, as well as scRNAseq data and transgene expression information. For [DNp44 (FAFB:3094186)](https://www.virtualflybrain.org/reports/VFB_001011rk \"Open DNp44 (FAFB:3094186) in Virtual Fly Brain\"), which is a specific neuron, VFB has annotated data on the neurons connected to it. Additionally, the [JRC_FlyEM_Hemibrain](https://www.virtualflybrain.org/reports/VFB_00101384 \"Open JRC_FlyEM_Hemibrain in Virtual Fly Brain\") dataset is available in VFB, with [135](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=VFB_00101384,AllDatasets \"Run in VFB: All available datasets\") associated datasets. However, without specific queries or comparisons between the Hemibrain and FAFB datasets regarding the connectivity of olfactory projection neurons, the consistency between these datasets cannot be directly assessed from the available information. To investigate this further, one could run queries such as listing all available images of olfactory projection neurons or examining the downstream and upstream connectivity classes for these neurons.", + "response": "The connectivity of olfactory projection neurons can be examined in the context of available datasets. VFB holds data on neurons connected to [DNp44 (FAFB:3094186)](https://www.virtualflybrain.org/reports/VFB_001011rk \"Open DNp44 (FAFB:3094186) in Virtual Fly Brain\"), which can be queried for the count. Additionally, VFB has annotated various aspects of [olfactory projection neuron](https://www.virtualflybrain.org/reports/FBbt_00051298 \"Open olfactory projection neuron in Virtual Fly Brain\"), including downstream and upstream connectivity classes, which can be queried for the count. The [JRC_FlyEM_Hemibrain](https://www.virtualflybrain.org/reports/VFB_00101384 \"Open JRC_FlyEM_Hemibrain in Virtual Fly Brain\") dataset is also available in VFB, with [135](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=VFB_00101384,AllDatasets \"Run in VFB: All available datasets\") datasets. However, without specific data on the consistency of connectivity between the Hemibrain and FAFB connectome datasets, it is not possible to directly compare the two. To investigate this further, one could run queries on the available data, such as comparing the downstream connectivity classes for olfactory projection neuron in the two datasets.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -1122,7 +1117,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1308, + "response_chars": 1246, "status_count": 6 } }, @@ -1137,7 +1132,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 14353, + "duration_ms": 15789, "status_messages": [ { "message": "Thinking...", @@ -1164,12 +1159,12 @@ "phase": "llm" } ], - "event_count": 192, - "request_id": "3e09be4b-7e65-4e2a-a4a3-e25ef154b3f6", - "response_id": "chatcmpl-18f503e47a296f6449fa24aca5f2c6b8", + "event_count": 227, + "request_id": "49255ebc-e60a-4144-8ade-fa9785aafdf6", + "response_id": "chatcmpl-5165dd4581f06112818ee50003ea684d", "images_count": 8, "graphs_count": 0, - "response": "To image neurons in the [adult lateral horn](https://www.virtualflybrain.org/reports/FBbt_00007053 \"Open adult lateral horn in Virtual Fly Brain\"), you can consider using split-GAL4 driver lines. However, the provided information does not specifically mention split-GAL4 driver lines. According to the VFB database, genetic tools available for targeting the adult lateral horn include transgene expression patterns such as P{GMR13A07-GAL4} and [PBac{602.P.SVS-1}dlg1[CPTI000207]. VFB holds [1934](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,TransgeneExpressionHere \"Run in VFB: Transgene expression in adult lateral horn\") records of transgene expression in the adult lateral horn, which may be useful for identifying potential driver lines. Additionally, VFB has annotated [1661](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,NeuronsPartHere \"Run in VFB: Neurons with some part in adult lateral horn\") neurons with some part in the adult lateral horn, and [17792](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,ImagesNeurons \"Run in VFB: Images of neurons with some part in adult lateral horn\") images of neurons with some part in the adult lateral horn, which could aid in understanding the neuronal types present in this region. For more specific information on split-GAL4 driver lines, further queries or searches may be necessary.", + "response": "To image neurons in the [adult lateral horn](https://www.virtualflybrain.org/reports/FBbt_00007053 \"Open adult lateral horn in Virtual Fly Brain\"), you can consider using split-GAL4 driver lines that target specific neuron types. While the provided evidence does not explicitly mention split-GAL4 driver lines, it does refer to genetic tools available for the adult lateral horn, including transgene expression patterns such as P{GMR13A07-GAL4}. \n\nThe VFB database records show that there are [1934](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,TransgeneExpressionHere \"Run in VFB: Transgene expression in adult lateral horn\") transgene expression patterns available for the adult lateral horn, which may include split-GAL4 driver lines. However, the specific split-GAL4 driver lines targeting lateral horn neuron types are not mentioned in the provided evidence.\n\nVFB holds records of neurons with some part in the adult lateral horn ([1661](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,NeuronsPartHere \"Run in VFB: Neurons with some part in adult lateral horn\")), neurons with synaptic terminals in the adult lateral horn ([1658](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in adult lateral horn\")), and images of neurons with some part in the adult lateral horn ([17792](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,ImagesNeurons \"Run in VFB: Images of neurons with some part in adult lateral horn\")). You can explore these records to find more information about the neuron types and potential genetic tools available for imaging them. \n\nFor more specific information about split-GAL4 driver lines, you may need to consult additional resources or databases.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -1180,7 +1175,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1432, + "response_chars": 1854, "status_count": 6 } }, @@ -1195,7 +1190,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 12240, + "duration_ms": 24198, "status_messages": [ { "message": "Thinking...", @@ -1213,17 +1208,21 @@ "message": "Querying VFB", "phase": "mcp" }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, { "message": "Writing the answer", "phase": "llm" } ], - "event_count": 192, - "request_id": "2fa9aa04-6ff7-420e-8adb-c58a5cb32e24", - "response_id": "chatcmpl-50d83caaa4996ed3a5592219063bf70d", - "images_count": 0, + "event_count": 307, + "request_id": "fd154dae-301e-416d-9ed8-5ce27644b430", + "response_id": "chatcmpl-59239c24306ca08cb14233f00b6c30b2", + "images_count": 1, "graphs_count": 0, - "response": "The LPLC2 visual neuron type is known to be a lobula plate-lobula columnar neuron. VFB records show that it has a distinct dendritic arbor in each lobula plate layer, extending outwards from the main fiber in the direction of motion detection for the layer. According to the VFB summary of neuron profile, its cell body lies in the dorsal area of the lateral cell body rind, as described by Wu et al., 2016. The connectome data indicates that it is located in the lobula plate, with dendritic arbors in each layer. VFB does not currently hold detailed data on its specific connections to other neurons. The function of the LPLC2 visual neuron type is related to motion detection, as its dendritic arbors extend in the direction of motion detection for each layer, as described by Klapoetke et al., 2017.", + "response": "The [LPLC2](https://www.virtualflybrain.org/reports/VFB_jrch0cuk \"Open LPLC2 in Virtual Fly Brain\") visual neuron type is characterized as a Lobula plate-lobula columnar neuron with specific characteristics and functions. According to VFB, its cell body is located in the dorsal area of the lateral cell body rind. The LPLC2 neuron has a distinct dendritic arbor in each lobula plate layer, extending outwards from the main fiber in the direction of motion detection for the layer, allowing it to detect looming stimuli. In the lobula, it has its main dendritic arbors in layers 4 and 5B, with minor processes in layer 5A, and presynaptic sites in layer 4. \n\nVFB records show that the LPLC2 neuron projects to an optic glomerulus of the PVLP, anterior to LPLC1 and dorsal to LC4. Its activity is associated with a jump escape response. The connectome data indicates that the arbors of LPLC2 neurons span approximately 25 lobula optic columns, overlapping with other LPLC2 cells. VFB holds data on approximately 80 of these cells per optic lobe, and they are predicted as cholinergic. \n\nVFB does not currently hold comprehensive data on all connections of the LPLC2 neuron type. However, the available data can be used to explore its connections and function further. Follow-up queries can be used to investigate the specific connections and relationships of the LPLC2 neuron type in more detail.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -1234,8 +1233,8 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 803, - "status_count": 5 + "response_chars": 1395, + "status_count": 6 } }, { @@ -1249,7 +1248,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 12209, + "duration_ms": 12245, "status_messages": [ { "message": "Thinking...", @@ -1272,12 +1271,12 @@ "phase": "llm" } ], - "event_count": 255, - "request_id": "24cfb30b-c2f9-4708-8757-b507bd0b6889", - "response_id": "chatcmpl-d05c2510902b99bc9d975a369c8e5a47", + "event_count": 164, + "request_id": "2de7d603-8929-41b4-8447-169198aee947", + "response_id": "chatcmpl-64ad52718a4853db41da31defbe38a48", "images_count": 6, "graphs_count": 0, - "response": "The organisation of the [antennal lobe](https://www.virtualflybrain.org/reports/FBbt_00003924 \"Open antennal lobe in Virtual Fly Brain\") in adult and larval Drosophila differs, as indicated by the VFB database. According to VFB, the organisation of the antennal lobe in adult and larval Drosophila differs in terms of glomerular organization and tract connections. The VFB database states that both stages are glomerular, but the adult antennal lobe is represented as the more elaborated glomerular neuropil. \n\nVFB holds various records related to the antennal lobe, including images, neurons with some part in the antennal lobe, neurons with synaptic terminals, presynaptic terminals, and postsynaptic terminals in the antennal lobe. The user can query VFB for specific counts of these records, such as the number of images of antennal lobe, neurons with some part in antennal lobe, or tracts/nerves innervating antennal lobe. \n\nTo further investigate the differences in organisation between adult and larval Drosophila antennal lobe, the user can explore the available VFB data, including parts of antennal lobe, subclasses of antennal lobe, and lineage clones found in antennal lobe.", + "response": "The organisation of the [antennal lobe](https://www.virtualflybrain.org/reports/FBbt_00003924 \"Open antennal lobe in Virtual Fly Brain\") compares between adult and larval Drosophila in terms of glomerular organization and tract connections, with the adult antennal lobe being more elaborated as a glomerular neuropil. This information comes from VFB. \n\nVFB holds various data related to the antennal lobe, including images, neurons with some part in the antennal lobe, neurons with synaptic terminals in the antennal lobe, and tracts/nerves innervating the antennal lobe. To learn more about the specific organisation of the antennal lobe in adult and larval Drosophila, you can query VFB for the available images of antennal lobe, or explore the neurons and tracts associated with this region.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -1288,7 +1287,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1186, + "response_chars": 794, "status_count": 5 } }, @@ -1303,7 +1302,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 18172, + "duration_ms": 84250, "status_messages": [ { "message": "Thinking...", @@ -1318,11 +1317,15 @@ "phase": "mcp" }, { - "message": "Reading VFB term info", + "message": "Querying VFB", "phase": "mcp" }, { - "message": "Finding genetic tools", + "message": "Querying VFB", + "phase": "mcp" + }, + { + "message": "Reading the literature", "phase": "mcp" }, { @@ -1334,12 +1337,12 @@ "phase": "llm" } ], - "event_count": 151, - "request_id": "bcd6c1a1-733e-4db1-b950-2b4767ed5e83", - "response_id": "chatcmpl-be320365c412b96e6b451e2e23e5eb18", + "event_count": 262, + "request_id": "33ce6d05-12e2-4726-92a9-1d1c0553ac4c", + "response_id": "chatcmpl-7395f8590ffc60cb92abc75f3fc7d5b8", "images_count": 8, "graphs_count": 0, - "response": "The publications that describe the dopaminergic PPL1 neurons and their role in aversive memory include Claridge-Chang et al., 2009, Mao and Davis, 2009, Budnik and White, 1988, and Ren et al., 2016, as stated in the VFB database. VFB holds various data related to dopaminergic PPL1 neurons, including available images, splits targeting PPL1, subclasses of PPL1, transgene expression in PPL1, downstream connectivity classes for PPL1, and upstream connectivity classes for PPL1. To find more specific information, you can query VFB for the count of records in each of these categories.", + "response": "Publications describing the [dopaminergic PPL1 neuron](https://www.virtualflybrain.org/reports/FBbt_00100219 \"Open dopaminergic PPL1 neuron in Virtual Fly Brain\") and their role in aversive memory include: Claridge-Chang et al., 2009, Mao and Davis, 2009, Budnik and White, 1988, Ren et al., 2016, as listed in the VFB database. \n\nThe VFB database holds information on the dopaminergic PPL1 neuron, including its location in a cluster of approximately 12 cell bodies in the cortex of the posterior inferior lateral protocerebrum of the adult brain, immediately lateral to the mushroom body calyx. \n\nVFB has annotated various data related to the dopaminergic PPL1 neuron, including available images, splits targeting PPL1, subclasses of PPL1, transgene expression in PPL1, downstream connectivity classes for PPL1, and upstream connectivity classes for PPL1. The exact counts for these records can be obtained by running the respective queries in VFB. \n\nTo further explore the role of dopaminergic PPL1 neurons in aversive memory, one can search PubMed using relevant keywords, as the VFB database suggests the existence of publications on this topic, including those describing specific dopamine pathways and their involvement in aversive odor memories.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -1350,8 +1353,8 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 584, - "status_count": 7 + "response_chars": 1253, + "status_count": 8 } }, { @@ -1365,7 +1368,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 12359, + "duration_ms": 13595, "status_messages": [ { "message": "Thinking...", @@ -1540,12 +1543,12 @@ "phase": "llm" } ], - "event_count": 173, - "request_id": "f60a9d65-652b-4f76-9bad-ef25c8d5fc05", - "response_id": "chatcmpl-f748e0b9c10f939f5be81324512b69cf", + "event_count": 189, + "request_id": "cee15bf2-e76e-43a6-bf3a-759201364c51", + "response_id": "chatcmpl-26d01cb665d3ef7420b16b32fc80c419", "images_count": 0, "graphs_count": 0, - "response": "The Hemibrain dataset contains neurons morphologically similar to the fru+ mAL neurons described in light microscopy studies, as indicated by the presence of adult fru-mAL neuron and fru-aDT1 in the dataset. This information comes from VFB. VFB holds various records related to the [adult fruitless aDT1 neuron](https://www.virtualflybrain.org/reports/FBbt_00110537 \"Open adult fruitless aDT1 neuron in Virtual Fly Brain\"), including Splits targeting fru-aDT1, Subclasses of fru-aDT1, Transgene expression in fru-aDT1, Downstream connectivity classes for fru-aDT1, and Upstream connectivity classes for fru-aDT1, which can be queried for specific counts.", + "response": "The Hemibrain dataset contains neurons morphologically similar to the fru+ mAL neurons, as indicated by the presence of adult fru-mAL neuron and fru-aDT1 in the dataset, according to VFB. Specifically, VFB holds data on the [adult fruitless aDT1 neuron](https://www.virtualflybrain.org/reports/FBbt_00110537 \"Open adult fruitless aDT1 neuron in Virtual Fly Brain\"), including Splits targeting fru-aDT1, Subclasses of fru-aDT1, Transgene expression in fru-aDT1, Downstream connectivity classes for fru-aDT1, and Upstream connectivity classes for fru-aDT1. Running queries for these counts may provide further information on the morphological similarity of neurons in the Hemibrain dataset to the fru+ mAL neurons.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -1556,7 +1559,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 654, + "response_chars": 712, "status_count": 43 } }, @@ -1571,7 +1574,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 13720, + "duration_ms": 16625, "status_messages": [ { "message": "Thinking...", @@ -1593,17 +1596,21 @@ "message": "Tracing the pathway", "phase": "mcp" }, + { + "message": "Querying VFB", + "phase": "mcp" + }, { "message": "Writing the answer", "phase": "llm" } ], - "event_count": 152, - "request_id": "5da93236-8652-4dcd-9c1f-0450b6dd1bc3", - "response_id": "chatcmpl-f8a792d9e9cec36ac4fb391bbbc66037", + "event_count": 173, + "request_id": "4b1c30c0-1d19-48a2-827c-bec0117a2994", + "response_id": "chatcmpl-60997e6c8a76946c92fd663606ca03ae", "images_count": 8, "graphs_count": 0, - "response": "The [fan-shaped body](https://www.virtualflybrain.org/reports/FBbt_00003679 \"Open fan-shaped body in Virtual Fly Brain\") receives input from various sensory neurons. VFB records show that there are [102](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in fan-shaped body\") neurons with presynaptic terminals in the fan-shaped body, and [72](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPostsynapticHere \"Run in VFB: Neurons with postsynaptic terminals in fan-shaped body\") neurons with postsynaptic terminals in the fan-shaped body. The connectome data indicates that these neurons are connected through synaptic steps, but the exact number of steps is not specified in the available data. VFB holds [229](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPartHere \"Run in VFB: Neurons with some part in fan-shaped body\") records of neurons with synaptic terminals in the fan-shaped body, which could be used to further investigate the connectivity of the fan-shaped body. To determine the specific sensory neurons and the number of synaptic steps, further analysis of the available data, such as the neurons with presynaptic and postsynaptic terminals, would be necessary.", + "response": "The [fan-shaped body](https://www.virtualflybrain.org/reports/FBbt_00003679 \"Open fan-shaped body in Virtual Fly Brain\") receives input from various sensory neurons. VFB records show that there are [102](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in fan-shaped body\") neurons with presynaptic terminals in the fan-shaped body, and [72](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPostsynapticHere \"Run in VFB: Neurons with postsynaptic terminals in fan-shaped body\") neurons with postsynaptic terminals in the fan-shaped body. The connectome data indicates that these neurons may provide input to the fan-shaped body, but the exact number of synaptic steps is not specified in the available data. VFB holds [229](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPartHere \"Run in VFB: Neurons with some part in fan-shaped body\") records of neurons with synaptic terminals in the fan-shaped body, which may be relevant for a narrower follow-up. To determine the specific sensory neurons and the number of synaptic steps involved, further analysis of the available data, such as the images of neurons with some part in the fan-shaped body ([11,175](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,ImagesNeurons \"Run in VFB: Images of neurons with some part in fan-shaped body\") records) or the transgene expression in the fan-shaped body ([1,624](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,TransgeneExpressionHere \"Run in VFB: Transgene expression in fan-shaped body\") records), may be necessary.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -1614,8 +1621,8 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1349, - "status_count": 6 + "response_chars": 1741, + "status_count": 7 } }, { @@ -1629,7 +1636,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 137796, + "duration_ms": 139947, "status_messages": [ { "message": "Thinking...", @@ -1652,12 +1659,12 @@ "phase": "llm" } ], - "event_count": 199, - "request_id": "28dba515-52b3-44fc-a59f-f29db12e99e3", - "response_id": "chatcmpl-7036f7ba3b610ccfac4335120c14d204", + "event_count": 220, + "request_id": "1f11c30d-8961-4926-9bbd-f01770880104", + "response_id": "chatcmpl-5142260b7a6589080145f63979e7a1cd", "images_count": 8, "graphs_count": 0, - "response": "The connectome data indicates that there are reciprocal connections between mushroom body output neurons and dopaminergic neurons. VFB records show 5 reciprocal class-level pairs between these two neuron types. The top partners for these connections are not specified in the available data, but the direction of the connections is from [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\") to [dopaminergic neuron](https://www.virtualflybrain.org/reports/FBbt_00005131 \"Open dopaminergic neuron in Virtual Fly Brain\"). VFB holds a large number of records for downstream and upstream connectivity classes for both mushroom body output neurons and dopaminergic neurons, with [29859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") downstream and [23753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") upstream connectivity classes for mushroom body output neurons, and an unspecified number of downstream and upstream connectivity classes for dopaminergic neurons. To find the strongest mutual connectivity pairs, you can query the available VFB data for downstream and upstream connectivity classes for both neuron types. Additionally, you can explore the transgene expression data, scRNAseq data, and subclasses for both mushroom body output neurons and dopaminergic neurons to gain more insights into their connectivity.", + "response": "The VFB database indicates that there are reciprocal connections between mushroom body output neurons and dopaminergic neurons. According to the VFB findings, there are 5 reciprocal class-level pairs between these two neuron types. The evidence from VFB suggests that these reciprocal connections involve specific pairs of mushroom body output neurons and dopaminergic neurons, but it does not specify which pairs have the strongest mutual connectivity. \n\nVFB holds various data that may be relevant for a narrower follow-up, including downstream and upstream connectivity classes for both [dopaminergic neuron](https://www.virtualflybrain.org/reports/FBbt_00005131 \"Open dopaminergic neuron in Virtual Fly Brain\") and [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\"), as well as transgene expression data and scRNAseq data for these neuron types. Running queries on these datasets may provide more detailed information on the connectivity between mushroom body output neurons and dopaminergic neurons. \n\nFor example, querying the downstream connectivity classes for dopaminergic neuron or the upstream connectivity classes for mushroom body output neuron may help identify the specific pairs with the strongest mutual connectivity. Similarly, examining the transgene expression data or scRNAseq data for these neuron types could provide additional insights into their connectivity patterns.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -1668,7 +1675,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1633, + "response_chars": 1483, "status_count": 5 } }, @@ -1683,7 +1690,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 14435, + "duration_ms": 12472, "status_messages": [ { "message": "Thinking...", @@ -1706,12 +1713,12 @@ "phase": "llm" } ], - "event_count": 221, - "request_id": "a0c7df53-e1f9-409c-b038-e6dc7f86acf3", - "response_id": "chatcmpl-14e02ce1aa712d3706f834f8526b58c3", + "event_count": 208, + "request_id": "f48fcdd7-b2a3-4544-9f4d-8f31cdb99668", + "response_id": "chatcmpl-30744c84c98b6f934dd652d268f37371", "images_count": 8, "graphs_count": 0, - "response": "To trace a pathway from olfactory receptor neurons to the [adult lateral horn](https://www.virtualflybrain.org/reports/FBbt_00007053 \"Open adult lateral horn in Virtual Fly Brain\"), we can look at the intermediate neuron types and their connections. According to VFB, antennal lobe projection neurons are intermediate neuron types between olfactory receptor neurons and the adult lateral horn. The pathway is described as: [olfactory receptor neuron](https://www.virtualflybrain.org/reports/FBbt_00005926 \"Open olfactory receptor neuron in Virtual Fly Brain\") -> antennal lobe projection neuron -> adult lateral horn.\n\nVFB holds various data that may be relevant for a narrower follow-up, including downstream and upstream connectivity classes for olfactory receptor neuron, and neurons with some part in, or synaptic terminals in, the adult lateral horn. Specifically, VFB has annotated [1661](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,NeuronsPartHere \"Run in VFB: Neurons with some part in adult lateral horn\") neurons with some part in the adult lateral horn, and [1658](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in adult lateral horn\") neurons with synaptic terminals in the adult lateral horn. Additionally, there are [1934](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,TransgeneExpressionHere \"Run in VFB: Transgene expression in adult lateral horn\") records of transgene expression in the adult lateral horn. \n\nFor more detailed information on the connectivity and neuron types involved, queries can be run to list downstream connectivity classes for olfactory receptor neuron, and to find neurons with presynaptic or postsynaptic terminals in the adult lateral horn.", + "response": "To trace a pathway from olfactory receptor neurons to the lateral horn, we can look at the intermediate neuron types and their connections. According to VFB, antennal lobe projection neurons are intermediate neuron types that connect olfactory receptor neurons to the lateral horn. The pathway is described as: [olfactory receptor neuron](https://www.virtualflybrain.org/reports/FBbt_00005926 \"Open olfactory receptor neuron in Virtual Fly Brain\") -> antennal lobe projection neuron -> lateral horn.\n\nVFB holds various data that may be relevant to understanding this pathway, including downstream and upstream connectivity classes for olfactory receptor neuron, as well as neurons with some part in, synaptic terminals in, presynaptic terminals in, and postsynaptic terminals in [adult lateral horn](https://www.virtualflybrain.org/reports/FBbt_00007053 \"Open adult lateral horn in Virtual Fly Brain\"). For example, VFB has annotated [1661](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,NeuronsPartHere \"Run in VFB: Neurons with some part in adult lateral horn\") neurons with some part in adult lateral horn and [816](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in adult lateral horn\") neurons with presynaptic terminals in adult lateral horn. \n\nTo further explore this pathway, you can query VFB for specific data, such as the list of downstream connectivity classes for olfactory receptor neuron or the list of neurons with synaptic terminals in adult lateral horn.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -1722,7 +1729,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1840, + "response_chars": 1604, "status_count": 5 } }, @@ -1737,7 +1744,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 16291, + "duration_ms": 15570, "status_messages": [ { "message": "Thinking...", @@ -1764,12 +1771,12 @@ "phase": "llm" } ], - "event_count": 183, - "request_id": "1a51caaf-b1f9-4d58-bef1-74f992758246", - "response_id": "chatcmpl-caf2ecc375a626e981de9bd65e98a499", + "event_count": 207, + "request_id": "ebdbbd9e-f0b8-4a11-b3aa-2e65aa23b9f3", + "response_id": "chatcmpl-e91f0a78cf6e19eb4497079f852d7973", "images_count": 8, "graphs_count": 0, - "response": "The adult Drosophila [visual system](https://www.virtualflybrain.org/reports/FBbt_00047735 \"Open visual system in Virtual Fly Brain\") contains various neuron types. VFB records show examples of these neuron types, including [AVLP391](https://www.virtualflybrain.org/reports/FBbt_20000500 \"Open AVLP391 in Virtual Fly Brain\"), [Dm8b](https://www.virtualflybrain.org/reports/FBbt_00110069 \"Open Dm8b in Virtual Fly Brain\"), [MC](https://www.virtualflybrain.org/reports/FBbt_00111640 \"Open MC in Virtual Fly Brain\"), [PLP031](https://www.virtualflybrain.org/reports/FBbt_20001531 \"Open PLP031 in Virtual Fly Brain\"), [adult odd neuron of the lobula plate](https://www.virtualflybrain.org/reports/FBbt_00111630 \"Open adult odd neuron of the lobula plate in Virtual Fly Brain\"), [lamina wide-field neuron](https://www.virtualflybrain.org/reports/FBbt_00059323 \"Open lamina wide-field neuron in Virtual Fly Brain\"), and [medulla intrinsic neuron vGlutMinew1a](https://www.virtualflybrain.org/reports/FBbt_00110033 \"Open medulla intrinsic neuron vGlutMinew1a in Virtual Fly Brain\"). VFB holds [1046](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsPartHere \"Run in VFB: Neurons with some part in visual system\") records of Neurons with some part in visual system. The hierarchical organisation of these neuron types within the visual system is not specified in the available data. To further investigate the classification and organisation of neuron types in the visual system, you can explore the available VFB data, such as the [1153](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,PartsOf \"Run in VFB: Parts of visual system\") records of Parts of visual system, or the records of Neurons with synaptic terminals in visual system, Neurons with presynaptic terminals in visual system, and Neurons with postsynaptic terminals in visual system.", + "response": "The [visual system](https://www.virtualflybrain.org/reports/FBbt_00047735 \"Open visual system in Virtual Fly Brain\") consists of various neuron types, including photoreceptor cells and interneurons such as lamina wide-field neurons and medulla intrinsic neurons, as recorded in VFB. VFB holds records of [1046](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsPartHere \"Run in VFB: Neurons with some part in visual system\") neurons with some part in the visual system, including specific examples such as [AVLP391](https://www.virtualflybrain.org/reports/FBbt_20000500 \"Open AVLP391 in Virtual Fly Brain\"), [Dm8b](https://www.virtualflybrain.org/reports/FBbt_00110069 \"Open Dm8b in Virtual Fly Brain\"), [MC](https://www.virtualflybrain.org/reports/FBbt_00111640 \"Open MC in Virtual Fly Brain\"), and [PLP031](https://www.virtualflybrain.org/reports/FBbt_20001531 \"Open PLP031 in Virtual Fly Brain\"), as well as the [adult odd neuron of the lobula plate](https://www.virtualflybrain.org/reports/FBbt_00111630 \"Open adult odd neuron of the lobula plate in Virtual Fly Brain\"). However, the exact number of distinct neuron types currently classified within the adult Drosophila visual system and their hierarchical organisation is not explicitly stated in the available data. VFB has annotated a large number of neurons related to the visual system, with [982](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in visual system\") neurons having synaptic terminals, [690](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in visual system\") having presynaptic terminals, and [897](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsPostsynapticHere \"Run in VFB: Neurons with postsynaptic terminals in visual system\") having postsynaptic terminals in this system. Additionally, VFB holds information on [1153](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,PartsOf \"Run in VFB: Parts of visual system\") parts of the visual system. Further queries can be made to explore the specific characteristics and relationships of these neurons within the visual system.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -1780,7 +1787,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1904, + "response_chars": 2342, "status_count": 6 } }, @@ -1795,7 +1802,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 12315, + "duration_ms": 13248, "status_messages": [ { "message": "Thinking...", @@ -1818,12 +1825,12 @@ "phase": "llm" } ], - "event_count": 123, - "request_id": "44ee2eb7-d102-4874-b9c5-e30a819715bb", - "response_id": "chatcmpl-820c0ddce7ddabc1254e5e7f3e0beb2f", + "event_count": 131, + "request_id": "55cbe3bb-01b6-406a-b3ea-a9aec631adec", + "response_id": "chatcmpl-7200dc2fabba653d3057f25d2275062b", "images_count": 8, "graphs_count": 1, - "response": "The strongest synaptic input to MBON-gamma1pedc>a/b neuron is from mushroom body intrinsic neuron, with a total weight of 45838, according to the VFB database, as found by the VFB query. The next strongest input is from Kenyon cell, with a total weight of 44880. This information is based on data recorded in VFB. VFB holds a range of data on [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\"), including subclasses of MBON, scRNAseq data, transgene expression, and both downstream and upstream connectivity classes.", + "response": "The strongest synaptic input to MBON-gamma1pedc>a/b neuron is from mushroom body intrinsic neuron, with a total weight of 45838, according to the VFB database, as determined by the VFB query. The next strongest input is from Kenyon cell, with a total weight of 44880. VFB holds a range of data on [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\"), including subclasses of MBON, scRNAseq data, transgene expression, and downstream and upstream connectivity classes, which may provide further context for understanding the connectivity of MBON-gamma1pedc>a/b.", "graphs": [ { "type": "basic_graph", @@ -1906,7 +1913,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 606, + "response_chars": 648, "status_count": 5 } }, @@ -1921,7 +1928,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 13248, + "duration_ms": 14226, "status_messages": [ { "message": "Thinking...", @@ -1948,12 +1955,12 @@ "phase": "llm" } ], - "event_count": 242, - "request_id": "f56af611-682b-48a7-b7b3-d1da322edae5", - "response_id": "chatcmpl-196c43c67217f3a8e200e99de141a30b", + "event_count": 240, + "request_id": "8fd2a700-b041-4d05-9e83-71ec6695789a", + "response_id": "chatcmpl-98c62d2155b907f74237fac57eb8bbf8", "images_count": 8, "graphs_count": 1, - "response": "To determine if the alpha/beta Kenyon cells and gamma Kenyon cells converge on the same downstream [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\") types, we can look at the downstream connectivity classes for both alpha/beta Kenyon cells and gamma Kenyon cells. VFB holds downstream connectivity classes for both alpha/beta Kenyon cells and gamma Kenyon cells. \n\nVFB has annotated [1665](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00100248,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for KCab\") downstream connectivity classes for alpha/beta Kenyon cells and holds data on downstream connectivity classes for gamma Kenyon cells. To find out which mushroom body output neurons receive input from both, we would need to compare the downstream connectivity classes of alpha/beta Kenyon cells and gamma Kenyon cells. \n\nVFB also holds [69](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,SubclassesOf \"Run in VFB: Subclasses of MBON\") subclasses of mushroom body output neurons and has annotated [29859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") downstream connectivity classes and [23753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") upstream connectivity classes for mushroom body output neurons. This data may help identify which mushroom body output neurons are downstream of both alpha/beta Kenyon cells and gamma Kenyon cells. \n\nHowever, without running the specific queries for downstream connectivity classes of alpha/beta Kenyon cells and gamma Kenyon cells, we cannot determine the exact mushroom body output neurons that receive input from both.", + "response": "To determine if the alpha/beta Kenyon cells and gamma Kenyon cells converge on the same downstream [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\") types, we can look at the available data on their connectivity. VFB holds downstream connectivity classes for mushroom body output neuron ([29859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") records) and upstream connectivity classes for mushroom body output neuron ([23753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") records), which may indicate which mushroom body output neurons receive input from both alpha/beta Kenyon cells and gamma Kenyon cells. \n\nVFB also holds downstream connectivity classes for [alpha/beta Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100248 \"Open alpha/beta Kenyon cell in Virtual Fly Brain\") ([1665](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00100248,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for KCab\") records) and for [gamma Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100247 \"Open gamma Kenyon cell in Virtual Fly Brain\") (available - run this query for the count), as well as upstream connectivity classes for alpha/beta Kenyon cell ([1770](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00100248,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for KCab\") records) and for gamma Kenyon cell (available - run this query for the count). These records may provide information on the specific mushroom body output neurons that receive input from alpha/beta Kenyon cells and gamma Kenyon cells. \n\nHowever, without running the specific queries for gamma Kenyon cell connectivity or examining the individual records, we cannot determine which mushroom body output neurons receive input from both alpha/beta Kenyon cells and gamma Kenyon cells.", "graphs": [ { "type": "basic_graph", @@ -2244,7 +2251,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1962, + "response_chars": 2177, "status_count": 6 } }, @@ -2259,7 +2266,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 17376, + "duration_ms": 15790, "status_messages": [ { "message": "Thinking...", @@ -2282,12 +2289,12 @@ "phase": "llm" } ], - "event_count": 320, - "request_id": "dcff080e-35c9-41c8-bb83-7dd82d365876", - "response_id": "chatcmpl-9beaa898eef6e84b48da1a1b29658a08", + "event_count": 192, + "request_id": "101e9305-4cf6-495a-bc06-0b747db1f3f6", + "response_id": "chatcmpl-44522216ae2923d91fb676823ff741ca", "images_count": 0, "graphs_count": 0, - "response": "The containment hierarchy from the [antennal lobe glomerulus DA1](https://www.virtualflybrain.org/reports/FBbt_00003932 \"Open antennal lobe glomerulus DA1 in Virtual Fly Brain\") up to the top-level brain structure is described in the VFB database. According to VFB, one possible hierarchy is: antennal lobe glomerulus DA1 -> adult olfactory antennal lobe glomerulus -> adult antennal lobe. Another possible hierarchy is: antennal lobe glomerulus DA1 -> antennal lobe -> adult deutocerebrum -> adult cerebrum -> adult central brain. A more comprehensive hierarchy is also given: antennal lobe glomerulus DA1 -> adult olfactory antennal lobe glomerulus -> adult antennal lobe -> adult deutocerebrum -> adult cerebrum -> adult central brain -> adult brain.\n\nVFB holds various records related to the antennal lobe glomerulus DA1, including neurons with some part in it, neurons with synaptic terminals in it, and parts of the glomerulus itself. The user can run specific queries to retrieve the counts of these records, such as the number of neurons with some part in the antennal lobe glomerulus DA1, or the number of images of neurons with some part in the glomerulus. \n\nTo further explore the hierarchy and the properties of the antennal lobe glomerulus DA1, the user can utilize the available VFB data and queries, such as examining the neurons with presynaptic or postsynaptic terminals in the glomerulus, or investigating the tracts and nerves innervating it.", + "response": "The containment hierarchy from the [antennal lobe glomerulus DA1](https://www.virtualflybrain.org/reports/FBbt_00003932 \"Open antennal lobe glomerulus DA1 in Virtual Fly Brain\") up to the top-level brain structure is: antennal lobe glomerulus DA1 -> adult olfactory antennal lobe glomerulus -> adult antennal lobe -> adult deutocerebrum -> adult cerebrum -> adult central brain -> adult brain, as indicated by the VFB database. \n\nVFB holds various records related to the antennal lobe glomerulus DA1, including neurons with some part in it, neurons with synaptic terminals in it, parts of it, and more, which can be queried for specific counts. \n\nTo further explore the hierarchy and relationships, you can query VFB for the specific counts of records it holds, such as the number of neurons with some part in the antennal lobe glomerulus DA1 or the number of parts of the antennal lobe glomerulus DA1.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -2298,7 +2305,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1461, + "response_chars": 902, "status_count": 5 } }, @@ -2313,7 +2320,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 15885, + "duration_ms": 19492, "status_messages": [ { "message": "Thinking...", @@ -2331,6 +2338,10 @@ "message": "Querying VFB connectivity", "phase": "mcp" }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, { "message": "Checking the literature", "phase": "mcp" @@ -2340,12 +2351,12 @@ "phase": "llm" } ], - "event_count": 295, - "request_id": "2ed1533a-2bff-45ad-a3fe-6e31ea12bb9d", - "response_id": "chatcmpl-74e17b90789d846f6e9b7c43988d964d", + "event_count": 316, + "request_id": "05ef0390-196f-428f-a5ec-f27da93b71b9", + "response_id": "chatcmpl-6bf82bd3b8b2b5455a769024bdfd467f", "images_count": 8, "graphs_count": 0, - "response": "To determine the neuron types that connect the [adult central complex](https://www.virtualflybrain.org/reports/FBbt_00003632 \"Open adult central complex in Virtual Fly Brain\") to the [lateral accessory lobe on L3 CNS template, Wood2018](https://www.virtualflybrain.org/reports/VFB_00050314 \"Open lateral accessory lobe on L3 CNS template, Wood2018 in Virtual Fly Brain\"), and the strength of these connections, we can look at the available data in VFB. \n\nVFB holds records of neurons with some part in the adult central complex ([363](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsPartHere \"Run in VFB: Neurons with some part in adult central complex\") records) and neurons with some part in the embryonic/larval lateral accessory lobe (available - run the query for the count). Additionally, VFB has annotated neurons with synaptic terminals, presynaptic terminals, and postsynaptic terminals in both the adult central complex and the embryonic/larval lateral accessory lobe. \n\nThe connectome data indicates that neurons with presynaptic terminals in the adult central complex ([209](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in adult central complex\") records) and neurons with postsynaptic terminals in the embryonic/larval lateral accessory lobe (available - run the query for the count) could potentially form connections between the two regions. However, the specific neuron types and the strength of these connections are not explicitly stated in the available data.\n\nTo further investigate the connectivity between the adult central complex and the lateral accessory lobe on L3 CNS template, Wood2018, you can run queries on VFB to list neurons with some part in both regions or to explore the tracts/nerves innervating these areas. VFB also holds images of neurons with some part in these regions, which may provide additional insights into their connectivity.", + "response": "To determine the neuron types that connect the [adult central complex](https://www.virtualflybrain.org/reports/FBbt_00003632 \"Open adult central complex in Virtual Fly Brain\") to the [lateral accessory lobe on L3 CNS template, Wood2018](https://www.virtualflybrain.org/reports/VFB_00050314 \"Open lateral accessory lobe on L3 CNS template, Wood2018 in Virtual Fly Brain\"), and the strength of these connections, we can look at the available data in VFB. \n\nVFB holds records of neurons with some part in the adult central complex ([363](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsPartHere \"Run in VFB: Neurons with some part in adult central complex\") records) and neurons with some part in the embryonic/larval lateral accessory lobe (available - run the query for the count). It also holds records of neurons with synaptic terminals, presynaptic terminals, and postsynaptic terminals in both the adult central complex and the embryonic/larval lateral accessory lobe. \n\nHowever, the specific connections between the adult central complex and the lateral accessory lobe on L3 CNS template, Wood2018, and their strengths, are not directly stated in the available data. \n\nTo find the relevant neuron types and connection strengths, it would be necessary to query the specific neurons that have synaptic terminals in both the adult central complex and the lateral accessory lobe on L3 CNS template, Wood2018, and examine their connection data. \n\nThe connectome data may indicate specific neuron types that connect these two brain regions, but without running the specific query, the exact types and strengths of these connections are not available in the provided information. \n\nFollow-up queries could include listing neurons with some part in both the adult central complex and the embryonic/larval lateral accessory lobe, or examining the tracts/nerves innervating both regions to determine the connections between them.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -2356,8 +2367,8 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 2015, - "status_count": 6 + "response_chars": 1960, + "status_count": 7 } }, { @@ -2371,7 +2382,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 20152, + "duration_ms": 19141, "status_messages": [ { "message": "Thinking...", @@ -2402,12 +2413,12 @@ "phase": "llm" } ], - "event_count": 121, - "request_id": "7360f433-7603-4a33-8cb3-5a7a384bfd06", - "response_id": "chatcmpl-496b262a2ba65a4ff7cddad794e5a011", + "event_count": 172, + "request_id": "0927eeb2-91f6-4975-b8b2-2282ae708089", + "response_id": "chatcmpl-12762574b6ca7ca1eba12adb07ac4c21", "images_count": 8, "graphs_count": 0, - "response": "For the [descending neuron of the anterior dorsal brain DNa02](https://www.virtualflybrain.org/reports/FBbt_00047573 \"Open descending neuron of the anterior dorsal brain DNa02 in Virtual Fly Brain\"), VFB holds various data. This includes [18](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,ListAllAvailableImages \"Run in VFB: List all available images of DNa02\") available images, [2](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,SplitsTargeting \"Run in VFB: Splits targeting DNa02\") splits targeting DNa02, and 2 records of transgene expression in DNa02, indicating the availability of light microscopy images and driver lines. The available VFB data also includes downstream and upstream connectivity classes for DNa02, with [636](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for DNa02\") and [779](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for DNa02\") records respectively. As for the datasets, according to the information available, data for DNa02 is present in both Hemibrain and FAFB datasets.", + "response": "For the [descending neuron of the anterior dorsal brain DNa02](https://www.virtualflybrain.org/reports/FBbt_00047573 \"Open descending neuron of the anterior dorsal brain DNa02 in Virtual Fly Brain\"), VFB holds various data. This includes [18](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,ListAllAvailableImages \"Run in VFB: List all available images of DNa02\") available images, [2](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,SplitsTargeting \"Run in VFB: Splits targeting DNa02\") splits targeting DNa02, 2 records of transgene expression in DNa02, [636](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for DNa02\") downstream connectivity classes, and [779](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for DNa02\") upstream connectivity classes. The connectome data indicates that DNa02 is present in both Hemibrain and FAFB datasets. VFB records show that there are genetic tools available for labeling DNa02 descending neuron, with 2 genetic tool/expression pattern rows returned for this neuron type. Additionally, VFB data includes light microscopy images and driver lines for DNa02. To explore this data further, you can query VFB for more information on the available images, splits, transgene expression, and connectivity classes for DNa02.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -2418,7 +2429,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1274, + "response_chars": 1519, "status_count": 7 } }, @@ -2433,7 +2444,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 17883, + "duration_ms": 17823, "status_messages": [ { "message": "Thinking...", @@ -2776,12 +2787,12 @@ "phase": "llm" } ], - "event_count": 355, - "request_id": "e3504b9c-b99a-490e-927e-1e87a240d0d5", - "response_id": "chatcmpl-f4c575fcb1973ee8f7c334e7feef67b5", + "event_count": 340, + "request_id": "f93fa3ce-2468-4ea2-8bc6-fbd09ad00342", + "response_id": "chatcmpl-141192641e7acbfc3ad8cc81f27f152a", "images_count": 0, "graphs_count": 0, - "response": "To study the neural circuit underlying CO2 avoidance in Drosophila, it's essential to identify the neurons involved, their connections, and the genetic tools available to access them. However, VFB does not currently hold specific data on the neural circuit underlying CO2 avoidance in Drosophila. \n\nThe connectome data indicates that certain neurons are predicted to be involved in sensory processing and behavior, but the exact neurons and connections involved in CO2 avoidance are not specified in the available data. \n\nVFB holds records on various neurons and their connections, but the specific information on CO2 avoidance is not annotated. To find the relevant neurons and their connections, you can query the VFB database using keywords related to CO2 sensing and avoidance behavior.\n\nGenetic tools such as GAL4 drivers and split-GAL4 systems can be used to access specific neurons, but VFB does not currently hold data on which drivers specifically target the neurons involved in CO2 avoidance. You can explore the VFB database for available genetic tools and their expression patterns to find potential candidates for your study.\n\nFollow-up queries can be made to explore the expression patterns of specific genes, the connectivity of certain neurons, and the available genetic tools to access them. This will help narrow down the search for the neurons and connections involved in CO2 avoidance in Drosophila.", + "response": "To study the neural circuit underlying CO2 avoidance in Drosophila, you would need to identify the specific neurons involved in this behavior. VFB does not currently hold data on the exact neurons involved in CO2 avoidance. \n\nThe connectome data may indicate which neurons are connected and could be involved in this behavior, but without specific data on CO2 avoidance, it is unclear which neurons to focus on. \n\nVFB holds various records on Drosophila neurons and their connections, but it does not currently hold data on the neural circuit specifically underlying CO2 avoidance. You may need to consult the literature or other databases for more information on this topic. \n\nGenetic tools such as GAL4 drivers and split-GAL4 systems can be used to access specific neurons, but without knowing which neurons are involved in CO2 avoidance, it is unclear which drivers to use. VFB has annotated numerous GAL4 drivers, but it does not currently hold data on their specific use in studying CO2 avoidance. \n\nYou can query VFB for neurons and their connections, as well as for genetic tools, to find potentially relevant information. However, to determine the specific neurons and genetic tools involved in CO2 avoidance, you may need to consult additional sources or conduct further research.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -2792,7 +2803,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1419, + "response_chars": 1289, "status_count": 85 } }, @@ -2807,7 +2818,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 52433, + "duration_ms": 44616, "status_messages": [ { "message": "Thinking...", @@ -2838,12 +2849,12 @@ "phase": "llm" } ], - "event_count": 472, - "request_id": "072590b6-0f38-4e2b-ab91-1e80e3d472c9", - "response_id": "chatcmpl-dab725151a71e937896429ec4614e616", + "event_count": 407, + "request_id": "054ccc0b-dade-45db-acdd-cdc8d9790e42", + "response_id": "chatcmpl-bbab6abb4fecd657e47b086c480b34c2", "images_count": 8, "graphs_count": 1, - "response": "The [giant fiber neuron](https://www.virtualflybrain.org/reports/FBbt_00004020 \"Open giant fiber neuron in Virtual Fly Brain\") is a large adult descending neuron that controls jump escape behavior, with a unique anatomy and connectivity profile. It has a large cell body located posterior to the lower protocerebrum and a large descending axon that is several times larger than any other axon in the cervical connective. The axon enters the cervical connective via the posterior cerebro-cervical fascicle and descends on the ipsilateral side in the dorsal cervical fasciculus. In the brain, the giant fiber neuron has dendritic arborization in the ipsilateral zones A and B of the antennal mechanosensory and motor center, where it receives substantial input from zone A and B Johnston organ neurons. It also arborizes in the posterior ventrolateral protocerebrum and gorget. The giant fiber neuron forms electrical synapses with downstream motor and premotor neurons at the inframedial bridge and at the axonal lateral bend.\n\nVFB holds various data related to the giant fiber neuron, including [23](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,ListAllAvailableImages \"Run in VFB: List all available images of DNp01\") images of DNp01, [5](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,SplitsTargeting \"Run in VFB: Splits targeting DNp01\") splits targeting DNp01, and [14](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,TransgeneExpressionHere \"Run in VFB: Transgene expression in DNp01\") records of transgene expression in DNp01. Additionally, VFB has annotated [389](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for DNp01\") downstream connectivity classes and [472](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for DNp01\") upstream connectivity classes for DNp01.\n\nAvailable driver lines for the giant fiber neuron include [P{R48A11-GAL4.DBD} ∩ P{R30C01-p65.AD} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0121835FBtp0118557 \"Open P{R48A11-GAL4.DBD} ∩ P{R30C01-p65.AD} expression pattern in Virtual Fly Brain\"), [P{R68A06-GAL4.DBD} ∩ P{R25C08-p65.AD} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0116198FBtp0118471 \"Open P{R68A06-GAL4.DBD} ∩ P{R25C08-p65.AD} expression pattern in Virtual Fly Brain\"), [P{R79H02-GAL4.DBD} ∩ P{R14A01-p65.AD} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0122311FBtp0118233 \"Open P{R79H02-GAL4.DBD} ∩ P{R14A01-p65.AD} expression pattern in Virtual Fly Brain\"), [P{R79H02-GAL4.DBD} ∩ P{R25C08-p65.AD} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0122311FBtp0118471 \"Open P{R79H02-GAL4.DBD} ∩ P{R25C08-p65.AD} expression pattern in Virtual Fly Brain\"), and [P{VT004455-GAL4.DBD} ∩ P{R10A12-p65.AD} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0122730FBtp0118153 \"Open P{VT004455-GAL4.DBD} ∩ P{R10A12-p65.AD} expression pattern in Virtual Fly Brain\").\n\nRelevant publications for the giant fiber neuron include Thomas and Wyman (1984), Koto et al. (1981), Power (1948), Ito et al. (2014), Kamikouchi et al. (2009), Kennedy and Broadie (2018), and Allen et al. (1998).", + "response": "The [giant fiber neuron](https://www.virtualflybrain.org/reports/FBbt_00004020 \"Open giant fiber neuron in Virtual Fly Brain\") is a large adult descending neuron that controls jump escape behavior, with a unique anatomy and connectivity profile. According to VFB, it has a large cell body located posterior to the lower protocerebrum, and its large descending axon is several times larger than any other axon in the cervical connective. The giant fiber neuron enters the cervical connective via the posterior cerebro-cervical fascicle and descends on the ipsilateral side, in the dorsal cervical fasciculus. In the brain, it has dendritic arborization in the ipsilateral zones A and B of the antennal mechanosensory and motor center, where it receives substantial input from zone A and B Johnston organ neurons.\n\nVFB records show that there are several driver lines available for the giant fiber neuron, including [P{R48A11-GAL4.DBD} ∩ P{R30C01-p65.AD} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0121835FBtp0118557 \"Open P{R48A11-GAL4.DBD} ∩ P{R30C01-p65.AD} expression pattern in Virtual Fly Brain\"), [P{R68A06-GAL4.DBD} ∩ P{R25C08-p65.AD} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0116198FBtp0118471 \"Open P{R68A06-GAL4.DBD} ∩ P{R25C08-p65.AD} expression pattern in Virtual Fly Brain\"), and [P{GMR91H05-GAL4} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0064022 \"Open P{GMR91H05-GAL4} expression pattern in Virtual Fly Brain\"). \n\nThe connectivity of the giant fiber neuron is characterized by downstream connectivity classes ([389](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for DNp01\") records in VFB) and upstream connectivity classes ([472](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for DNp01\") records in VFB). \n\nRelevant publications for the giant fiber neuron include Thomas and Wyman (1984), Koto et al. (1981), and Namiki et al. (2018), as well as other studies such as Power (1948), Ito et al. (2014), Kamikouchi et al. (2009), Matsuo et al. (2016), and Kim et al. (2020). \n\nVFB holds a range of data on the giant fiber neuron, including [23](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,ListAllAvailableImages \"Run in VFB: List all available images of DNp01\") images of DNp01, [5](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,SplitsTargeting \"Run in VFB: Splits targeting DNp01\") splits targeting DNp01, [14](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,TransgeneExpressionHere \"Run in VFB: Transgene expression in DNp01\") records of transgene expression in DNp01, and connectivity data.", "graphs": [ { "type": "basic_graph", @@ -3069,7 +3080,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 3430, + "response_chars": 2894, "status_count": 7 } }, @@ -3084,7 +3095,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 14402, + "duration_ms": 15617, "status_messages": [ { "message": "Thinking...", @@ -3107,12 +3118,12 @@ "phase": "llm" } ], - "event_count": 223, - "request_id": "ce709e9f-fc9a-47cc-8893-ba2065caa85a", - "response_id": "chatcmpl-5a821e2a63f4555dcb23d85e42d8797b", + "event_count": 207, + "request_id": "0349a2e4-533f-4bef-b808-b07c1b1bc460", + "response_id": "chatcmpl-9fac54111f7930b9362d8e4b2758446b", "images_count": 8, "graphs_count": 0, - "response": "Based on connectivity data, neuron types that might mediate a connection between the [visual system](https://www.virtualflybrain.org/reports/FBbt_00047735 \"Open visual system in Virtual Fly Brain\") and the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") include those with presynaptic terminals in the mushroom body, such as larval antennal lobe multiglomerular projection neurons and larval uniglomerular projection neurons, as recorded in VFB. Additionally, VFB indicates that adult visual projection neurons mediate the connection between the visual system and the mushroom body, with these neurons having presynaptic terminals in the mushroom body. \n\nVFB holds records of neurons with some part in the visual system and neurons with some part in the mushroom body, as well as neurons with presynaptic and postsynaptic terminals in both the visual system and the mushroom body. The connectome data in VFB suggests that visual information could reach the mushroom body, a key component of the memory circuit, through these neuron types. \n\nTo further explore the potential connection between the visual system and the mushroom body, one could examine the specific neuron types and their synaptic terminals within these systems, using the available data in VFB.", + "response": "The connectivity data indicates that neuron types that might mediate a connection between the [visual system](https://www.virtualflybrain.org/reports/FBbt_00047735 \"Open visual system in Virtual Fly Brain\") and the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") include those with presynaptic terminals in the mushroom body, such as larval antennal lobe multiglomerular projection neurons and larval uniglomerular projection neurons. VFB records show that adult visual projection neurons mediate the connection between the visual system and the mushroom body, with these neurons having presynaptic terminals in the mushroom body. \n\nVFB holds [366](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in mushroom body\") records of neurons with presynaptic terminals in the mushroom body, and [1046](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsPartHere \"Run in VFB: Neurons with some part in visual system\") records of neurons with some part in the visual system. The connectome data suggests that visual information could reach the memory circuit via these neuron types. \n\nTo further investigate the connection between the visual system and the mushroom body, you can explore the available VFB data, such as the [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") records of neurons with some part in the mushroom body, or the [982](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in visual system\") records of neurons with synaptic terminals in the visual system.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -3123,7 +3134,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1326, + "response_chars": 1861, "status_count": 5 } }, @@ -3138,7 +3149,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 15398, + "duration_ms": 15451, "status_messages": [ { "message": "Thinking...", @@ -3165,12 +3176,12 @@ "phase": "llm" } ], - "event_count": 257, - "request_id": "e57fce7d-d1cc-484f-af72-9df7205c9615", - "response_id": "chatcmpl-b12f79e435f40d499cbb7fc905a1b34c", + "event_count": 240, + "request_id": "3990f0a6-c2bf-402d-a5b4-e4391a330270", + "response_id": "chatcmpl-f2ac64d2b213e90cffe6a10a2539cff4", "images_count": 2, "graphs_count": 1, - "response": "To compare the downstream targets of the two main types of clock neurons, [s-LNv](https://www.virtualflybrain.org/reports/VFB_jrch04kn \"Open s-LNv in Virtual Fly Brain\") and [l-LNv](https://www.virtualflybrain.org/reports/VFB_jrch0frv \"Open l-LNv in Virtual Fly Brain\"), and determine if they converge on any common target neuron types, we would need to examine the connectivity data of these neurons. However, VFB does not currently hold specific data on the downstream targets of s-LNv and l-LNv neurons that can be directly compared. \n\nThe connectome data indicates specific connections between neuron types, but without access to this data for s-LNv and l-LNv, we cannot determine their downstream targets or potential overlap. VFB holds records on various neuron types and their connections, but the specific information regarding the convergence of s-LNv and l-LNv on common target neuron types is not available in the provided evidence.\n\nFor a detailed comparison, it would be necessary to consult the connectome data or specific studies focusing on the neural connections of s-LNv and l-LNv neurons. VFB has annotated numerous neuron types and their connections, but the current query does not return specific data on the downstream targets of these clock neurons. a narrower follow-up into the connectivity patterns of s-LNv and l-LNv neurons would be required to answer this question accurately.", + "response": "To compare the downstream targets of the two main types of clock neurons, [s-LNv](https://www.virtualflybrain.org/reports/VFB_jrch04kn \"Open s-LNv in Virtual Fly Brain\") and [l-LNv](https://www.virtualflybrain.org/reports/VFB_jrch0frv \"Open l-LNv in Virtual Fly Brain\"), and determine if they converge on any common target neuron types, we would need specific information on their connectivity. However, VFB does not currently hold data on the downstream targets of s-LNv and l-LNv neurons that would allow us to make a direct comparison or identify common target neuron types. \n\nFor a detailed analysis, one would typically consult the connectome data or specific studies focusing on the neural circuits involving s-LNv and l-LNv neurons. The literature may provide insights into the downstream targets of these neurons and any potential overlap, but without specific citations or data, we cannot accurately describe their connectivity or commonalities in target neurons. \n\nVFB holds various data on Drosophila neuroscience, including neuron types and their connections, but without annotated data on the specific downstream targets of s-LNv and l-LNv neurons, we cannot conclude whether they converge on common target neuron types. Further queries into VFB's database or consulting specific research publications would be necessary to find detailed information on this topic.", "graphs": [ { "type": "basic_graph", @@ -3461,7 +3472,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1405, + "response_chars": 1377, "status_count": 6 } }, @@ -3476,7 +3487,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 15696, + "duration_ms": 16287, "status_messages": [ { "message": "Thinking...", @@ -3503,12 +3514,12 @@ "phase": "llm" } ], - "event_count": 249, - "request_id": "bcd5a295-7c05-481c-bab4-5cbee57376a6", - "response_id": "chatcmpl-8e76ea695a2738b1cf41f3fd21961d3e", + "event_count": 227, + "request_id": "52d268fe-d8d9-43c8-a3ef-14fcebd4428a", + "response_id": "chatcmpl-95f832457ccb236f07f79dfcc6d11cf1", "images_count": 8, "graphs_count": 1, - "response": "The connectivity between thermosensory neurons and the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") is supported by evidence from VFB, which suggests that thermosensory projection neurons relay temperature-detecting neurons to higher brain centers, including mushroom-body-associated dopaminergic neurons and gamma main Kenyon cells. This indicates a plausible thermosensory influence on mushroom-body memory circuitry through thermosensory projection neurons. \n\nVFB holds various records related to thermosensory neurons, including downstream and upstream connectivity classes, which could provide further insights into their connections with other neurons, such as those in the mushroom body. For the mushroom body, VFB has annotated numerous neurons with some part in the mushroom body, as well as neurons with synaptic, presynaptic, and postsynaptic terminals in the mushroom body, which could be relevant for understanding its connectivity with thermosensory neurons.\n\nTo further explore the relationship between thermosensory neurons and the mushroom body, you can query VFB for specific data, such as the downstream connectivity classes for thermosensory neurons or the neurons with presynaptic terminals in the mushroom body. These queries could help elucidate how temperature information might influence memory formation in the mushroom body.", + "response": "The connectivity between thermosensory neurons and the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") is supported by VFB evidence, which suggests a plausible thermosensory influence on mushroom-body memory circuitry through thermosensory projection neurons. According to VFB, downstream class-connectivity previews for adult thermosensory projection neurons include mushroom-body-associated dopaminergic neurons and gamma main Kenyon cells when available. \n\nVFB holds various records related to thermosensory neurons, including available images, splits targeting them, subclasses, transgene expression, and both downstream and upstream connectivity classes. For the mushroom body, VFB has annotated numerous records, including images, neurons with parts or terminals in the mushroom body, parts of the mushroom body, subclasses, tracts/nerves innervating it, lineage clones found in it, and images of neurons with some part in the mushroom body.\n\nTo further explore the relationship between thermosensory neurons and the mushroom body, you can query VFB for specific data, such as the downstream connectivity classes for thermosensory neurons or neurons with synaptic terminals in the mushroom body.", "graphs": [ { "type": "basic_graph", @@ -3734,7 +3745,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1419, + "response_chars": 1266, "status_count": 6 } }, @@ -3749,7 +3760,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 21188, + "duration_ms": 21201, "status_messages": [ { "message": "Thinking...", @@ -3771,10 +3782,6 @@ "message": "Finding genetic tools", "phase": "mcp" }, - { - "message": "Querying VFB", - "phase": "mcp" - }, { "message": "Querying VFB connectivity", "phase": "mcp" @@ -3784,12 +3791,227 @@ "phase": "llm" } ], - "event_count": 231, - "request_id": "4abaf45c-1366-4959-b172-30cf8d96a708", - "response_id": "chatcmpl-85ac0aadc8036ce5b6cc64abdf5a1900", + "event_count": 267, + "request_id": "6f398a59-345b-4b46-8803-37391d7454fc", + "response_id": "chatcmpl-c32ab784c7e3e7f9f28ddde4a672be0c", "images_count": 1, - "graphs_count": 0, - "response": "The [subesophageal zone](https://www.virtualflybrain.org/reports/FBbt_00051068 \"Open subesophageal zone in Virtual Fly Brain\") is a region in the Drosophila brain with available data in VFB. VFB holds various types of data for the subesophageal zone, including images, neurons, parts, subclasses, and transgene expression. \n\nFor neuron types, VFB has annotated neurons with some part in the subesophageal zone. The connectomics data indicates that connectivity data is available for the subesophageal zone, including data from the larva and adult nervous systems.\n\nGenetic tools exist for subesophageal zone neurons, including GAL4 drivers and binary/intersectional drivers, with VFB recording 4205 genetic tool/expression pattern rows for the subesophageal zone. \n\nTo explore the subesophageal zone further, you can use VFB to query the available images, neurons, parts, subclasses, and transgene expression data. VFB also allows you to run queries to find specific data, such as the number of neurons with some part in the subesophageal zone or the number of parts of the subesophageal zone.", + "graphs_count": 1, + "response": "The [subesophageal zone](https://www.virtualflybrain.org/reports/FBbt_00051068 \"Open subesophageal zone in Virtual Fly Brain\") is a well-characterised region in VFB, with available data on images, neurons, parts, subclasses, and transgene expression. VFB holds various records for the subesophageal zone, including a list of available images, neurons with some part in the subesophageal zone, parts of the subesophageal zone, subclasses of the subesophageal zone, and transgene expression in the subesophageal zone. \n\nFor neuron types, VFB has annotated neurons with some part in the subesophageal zone. The connectome data indicates that there are upstream class-connectivity partners for larval subesophageal zone vine neuron, with VFB finding 95 such partners. \n\nGenetic tools for SEZ neurons are available, including GAL4 drivers and binary/intersectional drivers, with VFB returning 4205 genetic tool/expression pattern rows for the subesophageal zone. \n\nTo explore the subesophageal zone further, you can query VFB for the count of available images, neurons, parts, subclasses, and transgene expression. Additionally, you can use VFB to find connectivity partners for specific neuron types within the subesophageal zone and to identify genetic tools for manipulating SEZ neurons.", + "graphs": [ + { + "type": "basic_graph", + "version": 1, + "title": "Upstream partners of larval subesophageal zone vine neuron", + "directed": true, + "layout": "circle", + "nodes": [ + { + "id": "FBbt_00001446", + "label": "larval neuron", + "group": null, + "color": null, + "size": 1.34 + }, + { + "id": "FBbt_00111723", + "label": "larval subesophageal zone vine neuron", + "group": null, + "color": null, + "size": 4 + }, + { + "id": "FBbt_00005106", + "label": "neuron", + "group": null, + "color": null, + "size": 1.34 + }, + { + "id": "FBbt_00007693", + "label": "sensory system neuron", + "group": null, + "color": null, + "size": 1.27 + }, + { + "id": "FBbt_00007696", + "label": "chemosensory system neuron", + "group": null, + "color": null, + "size": 1.27 + }, + { + "id": "FBbt_00059275", + "label": "larval PNS neuron", + "group": null, + "color": null, + "size": 1.2 + }, + { + "id": "FBbt_00005124", + "label": "sensory neuron", + "group": null, + "color": null, + "size": 1.2 + }, + { + "id": "FBbt_00059272", + "label": "PNS neuron", + "group": null, + "color": null, + "size": 1.2 + }, + { + "id": "FBbt_00058245", + "label": "embryonic/larval sensory neuron", + "group": null, + "color": null, + "size": 1.2 + }, + { + "id": "FBbt_00052560", + "label": "external sense organ sensory neuron", + "group": null, + "color": null, + "size": 1.19 + }, + { + "id": "FBbt_00052615", + "label": "larval external sense organ sensory neuron", + "group": null, + "color": null, + "size": 1.19 + }, + { + "id": "FBbt_00007697", + "label": "olfactory system neuron", + "group": null, + "color": null, + "size": 1.16 + }, + { + "id": "FBbt_00007695", + "label": "gustatory system neuron", + "group": null, + "color": null, + "size": 1.11 + }, + { + "id": "FBbt_00005922", + "label": "chemosensory neuron", + "group": null, + "color": null, + "size": 1.11 + }, + { + "id": "FBbt_00048505", + "label": "larval maxillary-labial nerve sensory neuron", + "group": null, + "color": null, + "size": 1.1 + }, + { + "id": "FBbt_00059271", + "label": "CNS neuron", + "group": null, + "color": null, + "size": 1.1 + } + ], + "edges": [ + { + "source": "FBbt_00001446", + "target": "FBbt_00111723", + "label": "514", + "weight": 514 + }, + { + "source": "FBbt_00005106", + "target": "FBbt_00111723", + "label": "514", + "weight": 514 + }, + { + "source": "FBbt_00007693", + "target": "FBbt_00111723", + "label": "418", + "weight": 418 + }, + { + "source": "FBbt_00007696", + "target": "FBbt_00111723", + "label": "418", + "weight": 418 + }, + { + "source": "FBbt_00059275", + "target": "FBbt_00111723", + "label": "312", + "weight": 312 + }, + { + "source": "FBbt_00005124", + "target": "FBbt_00111723", + "label": "312", + "weight": 312 + }, + { + "source": "FBbt_00059272", + "target": "FBbt_00111723", + "label": "312", + "weight": 312 + }, + { + "source": "FBbt_00058245", + "target": "FBbt_00111723", + "label": "312", + "weight": 312 + }, + { + "source": "FBbt_00052560", + "target": "FBbt_00111723", + "label": "293", + "weight": 293 + }, + { + "source": "FBbt_00052615", + "target": "FBbt_00111723", + "label": "293", + "weight": 293 + }, + { + "source": "FBbt_00007697", + "target": "FBbt_00111723", + "label": "251", + "weight": 251 + }, + { + "source": "FBbt_00007695", + "target": "FBbt_00111723", + "label": "167", + "weight": 167 + }, + { + "source": "FBbt_00005922", + "target": "FBbt_00111723", + "label": "164", + "weight": 164 + }, + { + "source": "FBbt_00048505", + "target": "FBbt_00111723", + "label": "154", + "weight": 154 + }, + { + "source": "FBbt_00059271", + "target": "FBbt_00111723", + "label": "147", + "weight": 147 + } + ] + } + ], "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -3800,8 +4022,8 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1093, - "status_count": 8 + "response_chars": 1285, + "status_count": 7 } }, { @@ -3815,7 +4037,7 @@ "min_graphs": 1, "repetition": 1, "ok": false, - "duration_ms": 12533, + "duration_ms": 13595, "status_messages": [ { "message": "Thinking...", @@ -3837,17 +4059,21 @@ "message": "Querying VFB", "phase": "mcp" }, + { + "message": "Checking the literature", + "phase": "mcp" + }, { "message": "Writing the answer", "phase": "llm" } ], - "event_count": 261, - "request_id": "ceb9dcf0-1795-4501-b8e1-95ef054dc917", - "response_id": "chatcmpl-57b63ad6fe7eadb9e8ddc22958cbcc4e", + "event_count": 273, + "request_id": "c20a7542-f166-4aeb-87c1-65f2fa5fb540", + "response_id": "chatcmpl-7e4a07ad8838900fbfda1bd5d9bfa2a4", "images_count": 4, "graphs_count": 0, - "response": "To describe the class summarised connectivity from the [medulla](https://www.virtualflybrain.org/reports/FBbt_00003748 \"Open medulla in Virtual Fly Brain\"), we can look at the available data in VFB. VFB holds data on neurons with some part in medulla, neurons with synaptic terminals in medulla, neurons with presynaptic terminals in medulla, and neurons with postsynaptic terminals in medulla. The connectome data indicates that these neurons have specific connections. \n\nThe medulla is connected to other parts of the brain through tracts and nerves, and VFB has annotated data on tracts/nerves innervating medulla. The specific connections and the strength of these connections can be inferred from the data on neurons with presynaptic and postsynaptic terminals in medulla.\n\nVFB records show that there are parts of medulla and subclasses of medulla, which may have distinct connectivity patterns. Additionally, lineage clones found in medulla and images of neurons with some part in medulla are available, which can provide further insights into the connectivity of the medulla.\n\nTo get a more detailed understanding of the class summarised connectivity from the medulla, you can query VFB for the specific counts of neurons with some part in medulla, neurons with synaptic terminals in medulla, and tracts/nerves innervating medulla.", + "response": "To describe the class summarised connectivity from the [medulla](https://www.virtualflybrain.org/reports/FBbt_00003748 \"Open medulla in Virtual Fly Brain\"), we can look at the types of neurons and their synaptic connections within this region. VFB holds data on Neurons with some part in medulla, Neurons with synaptic terminals in medulla, Neurons with presynaptic terminals in medulla, and Neurons with postsynaptic terminals in medulla. \n\nThe connectome data indicates that neurons with presynaptic terminals in medulla are connected to neurons with postsynaptic terminals in medulla, suggesting a network of synaptic connections within the medulla. VFB records show that there are also tracts/nerves innervating medulla, which may carry signals to or from the medulla. \n\nVFB has annotated a number of neurons with some part in medulla, and a number of images of neurons with some part in medulla are available. The specific patterns of connectivity can be explored further by examining the available data on neurons with synaptic terminals, presynaptic terminals, and postsynaptic terminals in medulla. \n\nTo further investigate the class summarised connectivity from the medulla, you can run queries on the available VFB data, such as listing all available images of medulla, or exploring the parts of medulla, subclasses of medulla, and lineage clones found in medulla.", "error": "Expected at least 1 graph(s), received 0.", "quality_flags": { "has_tool_status": true, @@ -3859,8 +4085,8 @@ "graph_failure_mentioned": false, "missing_required_graph": true, "used_data_resource": false, - "response_chars": 1339, - "status_count": 6 + "response_chars": 1374, + "status_count": 7 } }, { @@ -3874,7 +4100,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 6235, + "duration_ms": 7867, "status_messages": [ { "message": "Thinking...", @@ -3901,12 +4127,12 @@ "phase": "llm" } ], - "event_count": 151, - "request_id": "3b29b12e-5978-4f69-83c6-784cc8b779bb", - "response_id": "chatcmpl-179019fde01d71805732a48a1b614d39", + "event_count": 160, + "request_id": "90b2df7e-7bb2-4005-b679-4dfdba440630", + "response_id": "chatcmpl-349f087ce2281e14310c97cb5f501eb5", "images_count": 0, "graphs_count": 0, - "response": "Virtual Fly Brain is a database of Drosophila neuroscience. It is designed for researchers in the field of Drosophila neuroscience. \n\nVFB holds various data related to Drosophila neuroscience, including data on the gene [fkh](https://www.virtualflybrain.org/reports/FBgn0000659 \"Open fkh in Virtual Fly Brain\"). For fkh, VFB has annotated several types of data, including parts of fkh, subclasses of fkh, clusters expressing fkh, and fly stocks for fkh. The exact number of records for each of these types can be found by running the respective queries. \n\nTo learn more about Virtual Fly Brain and its features, users can explore the available data and tools, such as querying the parts, subclasses, clusters, and fly stocks related to fkh.", + "response": "Virtual Fly Brain is a database and online resource for Drosophila neuroscience. The information available suggests it is designed to provide access to various types of data related to the genetics and neuroscience of Drosophila, such as gene expression, neuronal clusters, and fly stocks. For the term \"[fkh](https://www.virtualflybrain.org/reports/FBgn0000659 \"Open fkh in Virtual Fly Brain\")\", VFB holds data on parts of fkh, subclasses of fkh, clusters expressing fkh, and fly stocks for fkh, which can be accessed by running specific queries. However, without further information or specific queries, the exact nature and scope of Virtual Fly Brain's content and user base cannot be determined. It appears to be a tool for researchers in the field of Drosophila neuroscience, given the technical nature of the data it provides.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -3917,7 +4143,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 740, + "response_chars": 832, "status_count": 6 } }, @@ -3932,7 +4158,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 6068, + "duration_ms": 7632, "status_messages": [ { "message": "Thinking...", @@ -3959,12 +4185,12 @@ "phase": "llm" } ], - "event_count": 66, - "request_id": "35295dc3-054b-465a-8d02-dd61b171bcbc", - "response_id": "chatcmpl-c0788a5f9efd2b31fdc825ed9c74a1fd", + "event_count": 89, + "request_id": "2674b9ef-8791-4da2-bb94-b63188b5f187", + "response_id": "chatcmpl-c7753e58fa679fb0e9101dea091c6311", "images_count": 0, "graphs_count": 0, - "response": "To cite Virtual Fly Brain in a publication, you should consult the Virtual Fly Brain documentation for the recommended citation format. VFB does not currently hold specific data on citation formats for itself. You may need to look up the documentation or contact the Virtual Fly Brain team directly for guidance on proper citation.", + "response": "To cite Virtual Fly Brain in a publication, you should consult the Virtual Fly Brain documentation for the recommended citation format. The documentation may provide a specific citation style or template to use. If you cannot find this information in the documentation, you may want to contact the Virtual Fly Brain team directly to ask for guidance on how to properly cite their resource. VFB does not currently hold data on citation formats for itself.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -3975,7 +4201,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 331, + "response_chars": 454, "status_count": 6 } }, @@ -3990,7 +4216,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 4752, + "duration_ms": 5841, "status_messages": [ { "message": "Thinking...", @@ -4017,12 +4243,12 @@ "phase": "llm" } ], - "event_count": 22, - "request_id": "d3acce42-61d7-4edd-a392-fbf8a5e2478f", - "response_id": "chatcmpl-f843c89e1deddc3d4fa7168158b7d307", + "event_count": 27, + "request_id": "55ba198c-ad1f-4532-b796-ac3517360748", + "response_id": "chatcmpl-89229f624cbd8ecf2e7f775f34796111", "images_count": 0, "graphs_count": 0, - "response": "VFB does not currently hold data on the funding of Virtual Fly Brain.", + "response": "VFB does not currently hold information on who funds Virtual Fly Brain or the duration of the funding.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -4033,7 +4259,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 69, + "response_chars": 102, "status_count": 6 } }, @@ -4048,7 +4274,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 6639, + "duration_ms": 6032, "status_messages": [ { "message": "Thinking...", @@ -4223,12 +4449,12 @@ "phase": "llm" } ], - "event_count": 92, - "request_id": "888c5e8b-ffd7-4d63-9070-728e9dc5437d", - "response_id": "chatcmpl-bda5ab8889bfca17b8dd449c199f0426", + "event_count": 59, + "request_id": "caf7c1b0-e827-450e-b77a-b26b2dd99faf", + "response_id": "chatcmpl-ffce393f0e31e0ec227061b186781dbe", "images_count": 0, "graphs_count": 0, - "response": "Virtual Fly Brain's accessibility statement is not available in the provided evidence. VFB does not currently hold data on its accessibility statement. To find this information, you may need to visit the Virtual Fly Brain website or contact their support team directly.", + "response": "VFB does not currently hold data on Virtual Fly Brain's accessibility statement.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -4239,7 +4465,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 269, + "response_chars": 80, "status_count": 43 } }, @@ -4254,7 +4480,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 978, + "duration_ms": 1741, "status_messages": [ { "message": "Thinking...", @@ -4266,14 +4492,14 @@ } ], "event_count": 3, - "request_id": "941b099d-6b37-49a2-b6a6-58c5d1bf5b4b", - "response_id": "local-941b099d-6b37-49a2-b6a6-58c5d1bf5b4b", + "request_id": "e0d2afb4-1896-4e5c-b126-0a1a36661540", + "response_id": "local-e0d2afb4-1896-4e5c-b126-0a1a36661540", "images_count": 0, "graphs_count": 0, - "response": "What specific type of problem or data contribution are you referring to?", + "response": "What specific problem or data contribution are you referring to?", "quality_flags": { "has_tool_status": false, - "no_tool_factual_answer": true, + "no_tool_factual_answer": false, "tool_claim_without_tool": false, "disambiguation_only_answer": false, "investigation_plan_answer": false, @@ -4281,7 +4507,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 72, + "response_chars": 64, "status_count": 2 } }, @@ -4296,7 +4522,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 8479, + "duration_ms": 1177, "status_messages": [ { "message": "Thinking...", @@ -4305,29 +4531,17 @@ { "message": "Planning the answer", "phase": "llm" - }, - { - "message": "Reading VFB documentation", - "phase": "mcp" - }, - { - "message": "Checking the literature", - "phase": "mcp" - }, - { - "message": "Writing the answer", - "phase": "llm" } ], - "event_count": 127, - "request_id": "9888bda0-b52e-4374-809a-9017770ddc52", - "response_id": "chatcmpl-184215e71922a34c22a345073c6a7373", + "event_count": 3, + "request_id": "326bf845-be2b-42c5-b179-58474c06c108", + "response_id": "local-326bf845-be2b-42c5-b179-58474c06c108", "images_count": 0, "graphs_count": 0, - "response": "To use the 3D Viewer on the VFB website, you can follow these steps. First, point and click to select neurons or expression. Then, you can rotate or move the view by clicking and dragging with the mouse or using the directional icons. Zooming in and out can be achieved by using the zoom icons or by scrolling with the mouse. Additionally, you can start or stop a rotation animation of the scene by clicking the camera icon. This information is based on the documentation available on the Virtual Fly Brain website, which provides a guide on how to use the 3D Viewer feature.", + "response": "What specific aspects of the 3D Viewer on the VFB website do you need help with?", "quality_flags": { - "has_tool_status": true, - "no_tool_factual_answer": false, + "has_tool_status": false, + "no_tool_factual_answer": true, "tool_claim_without_tool": false, "disambiguation_only_answer": false, "investigation_plan_answer": false, @@ -4335,8 +4549,8 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 575, - "status_count": 5 + "response_chars": 80, + "status_count": 2 } }, { @@ -4350,7 +4564,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 9380, + "duration_ms": 10197, "status_messages": [ { "message": "Thinking...", @@ -4525,12 +4739,12 @@ "phase": "llm" } ], - "event_count": 156, - "request_id": "b6838f1d-5fca-45fd-adac-bf4e9f4507e6", - "response_id": "chatcmpl-1848c57f9e3b0650fc2eb5ba86e894d7", + "event_count": 157, + "request_id": "eec908ab-4a70-4d49-8345-3015a4b277a3", + "response_id": "chatcmpl-11923a74cdd80a5217839c4ee0c4a075", "images_count": 0, "graphs_count": 0, - "response": "The Circuit Browser tab on VFB is a feature that enables users to find the strongest paths from one neuron, referred to as the source neuron, to another, known as the target neuron. This information is based on the documentation available on the Virtual Fly Brain website. To use the Circuit Browser, you can refer to the documentation provided by Virtual Fly Brain, which can be found at https://www.virtualflybrain.org/docs/website-features/circuitbrowser. VFB does not currently hold step-by-step usage instructions for the Circuit Browser in the available data.", + "response": "The Circuit Browser tab on VFB is a tool that allows you to find the strongest paths from one neuron, referred to as the source neuron, to another, referred to as the target neuron, as stated in the documentation. To use it, you can refer to the documentation available on the VFB website, which provides guidance on its features and usage. VFB does not currently hold step-by-step usage instructions in the provided data, but the documentation at https://www.virtualflybrain.org/docs/website-features/circuitbrowser can be consulted for more information.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -4541,7 +4755,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 565, + "response_chars": 555, "status_count": 43 } }, @@ -4556,7 +4770,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 15531, + "duration_ms": 12304, "status_messages": [ { "message": "Thinking...", @@ -4731,12 +4945,12 @@ "phase": "llm" } ], - "event_count": 157, - "request_id": "0ce7a5e7-cd48-4bab-b7ec-6af2971f71c1", - "response_id": "chatcmpl-818c0ceb6d0d3d2fc2a343a442113454", + "event_count": 179, + "request_id": "c64edd45-2622-4461-9d87-377ec87cbee7", + "response_id": "chatcmpl-e1bc1dacc62c1b94a027d46980721734", "images_count": 0, "graphs_count": 0, - "response": "NBLAST is a method to quantify morphological similarity, as described in the documentation. The documentation states that its similarity score is calculated by finding the closest tangent vector in the target neuron for each tangent vector in the query neuron, with the final score being the sum over all query-target vector pairs, typically normalized to a self-self comparison with a perfect match being 1. This information comes from the documentation, which cites Costa et al., 2016. VFB does not currently hold additional data on the interpretation of NBLAST similarity scores beyond this description.", + "response": "NBLAST is a method to quantify morphological similarity, as described in the documentation. According to the documentation, its similarity score is calculated by finding the closest tangent vector in the target neuron for each tangent vector in the query neuron, with the final score being the sum over all query-target vector pairs, typically normalized to a self-self comparison with a perfect match being 1. This information is based on the documentation available at https://www.virtualflybrain.org/docs/past-workshops/connectome/5_nblast, which references Costa et al., 2016. VFB does not currently hold additional information on the interpretation of NBLAST similarity scores beyond this documentation.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -4747,7 +4961,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 606, + "response_chars": 708, "status_count": 43 } }, @@ -4762,7 +4976,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 8410, + "duration_ms": 8698, "status_messages": [ { "message": "Thinking...", @@ -4789,12 +5003,12 @@ "phase": "llm" } ], - "event_count": 167, - "request_id": "d62a35ed-2089-43ae-96df-c5388d89efc2", - "response_id": "chatcmpl-742f40b566764a3f9eaaf1e44debdfab", + "event_count": 173, + "request_id": "7b874393-c5e8-45a0-8556-150e2ce68431", + "response_id": "chatcmpl-2ae8970b5fe7696bf09875e96c188ed5", "images_count": 1, "graphs_count": 0, - "response": "The confidence values on Virtual Fly Brain are not explicitly defined in the provided evidence. However, in the context of neuroscience and connectomics, confidence values often refer to a measure of the reliability or accuracy of a particular annotation, such as the identification of a neuron or its connections. \n\nVFB holds data on neurons with similar morphology to [MB2ON-209 (L1EM:6572414)](https://www.virtualflybrain.org/reports/VFB_00102eof \"Open MB2ON-209 (L1EM:6572414) in Virtual Fly Brain\") using the NBLAST algorithm, as well as neurons connected to MB2ON-209 (L1EM:6572414). To understand how confidence values relate to these data, you can run queries to explore the counts of records available for these types of information. \n\nFor more specific information on what confidence values mean on Virtual Fly Brain, further documentation or a specific publication reference would be needed.", + "response": "The Virtual Fly Brain documentation does not explicitly state what confidence values mean in the provided evidence. However, in general, confidence values in the context of neuroscience and connectomics often refer to a measure of the reliability or accuracy of a particular piece of data, such as the strength of a connection between neurons. \n\nFor [MB2ON-209 (L1EM:6572414)](https://www.virtualflybrain.org/reports/VFB_00102eof \"Open MB2ON-209 (L1EM:6572414) in Virtual Fly Brain\"), VFB holds data on Neurons with similar morphology to MB2ON-209 (L1EM:6572414) [NBLAST] and Neurons connected to MB2ON-209 (L1EM:6572414), which can be queried for counts. \n\nTo understand what confidence values represent on Virtual Fly Brain, further information from the Virtual Fly Brain documentation or specific publications related to the Virtual Fly Brain project would be necessary.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -4805,7 +5019,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 902, + "response_chars": 873, "status_count": 6 } }, @@ -4820,7 +5034,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 13303, + "duration_ms": 15303, "status_messages": [ { "message": "Thinking...", @@ -4847,12 +5061,12 @@ "phase": "llm" } ], - "event_count": 115, - "request_id": "000720a2-3baa-4507-8924-bc00b537b022", - "response_id": "chatcmpl-45292d22f220e0c8d5789a1231a6373b", + "event_count": 104, + "request_id": "f9762c80-7523-49da-a487-997434055012", + "response_id": "chatcmpl-71fa224d3e34cd2b7742ced72c9f31a1", "images_count": 8, "graphs_count": 0, - "response": "Bridging registrations between brain templates in VFB are not described in the provided EVIDENCE. VFB does not currently hold specific data on bridging registrations between brain templates that I can directly reference. However, VFB holds various data related to [neurosecretory cell of brain](https://www.virtualflybrain.org/reports/FBbt_00052760 \"Open neurosecretory cell of brain in Virtual Fly Brain\"), including available images, splits targeting it, subclasses, scRNAseq data, transgene expression, downstream connectivity classes, and upstream connectivity classes. To find more information on bridging registrations, further queries or searches within VFB or other resources may be necessary.", + "response": "Bridging registrations between brain templates in VFB are not defined in the provided evidence. VFB does not currently hold specific information on bridging registrations between brain templates. However, VFB holds various data related to the [neurosecretory cell of brain](https://www.virtualflybrain.org/reports/FBbt_00052760 \"Open neurosecretory cell of brain in Virtual Fly Brain\"), including available images, splits targeting it, subclasses, scRNAseq data, transgene expression, downstream connectivity classes, and upstream connectivity classes. The user can query VFB for the counts of these records to explore the available data.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -4863,7 +5077,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 701, + "response_chars": 638, "status_count": 6 } }, @@ -4878,7 +5092,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 12689, + "duration_ms": 13050, "status_messages": [ { "message": "Thinking...", @@ -4905,12 +5119,12 @@ "phase": "llm" } ], - "event_count": 99, - "request_id": "f7a5947a-8d80-4369-8e25-d44dbaf59f2c", - "response_id": "chatcmpl-23205f1127cde7986a54c01d0b74f8a8", + "event_count": 92, + "request_id": "5dffd84a-5598-42d1-9cb3-df280eb71232", + "response_id": "chatcmpl-bb6c7bf2b978991c34a916a889458557", "images_count": 0, "graphs_count": 0, - "response": "Virtual Fly Brain holds various imaging data types, including confocal microscopy and electron microscopy images. The brain templates available in Virtual Fly Brain include the JRC2018 template and the JFRC2 template. This information comes from general training knowledge. For more specific and up-to-date information, it is recommended to query the Virtual Fly Brain database directly. AVAILABLE VFB DATA may provide further details on the imaging data types and brain templates held by Virtual Fly Brain.", + "response": "Virtual Fly Brain holds various imaging data types and brain templates. The specific types of imaging data and brain templates available can be explored through the Virtual Fly Brain interface. VFB does not currently hold a comprehensive list of all its imaging data types and brain templates in the provided evidence. To find out more about the imaging data types and brain templates held by Virtual Fly Brain, it is recommended to query the Virtual Fly Brain database directly.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -4921,7 +5135,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 507, + "response_chars": 479, "status_count": 6 } }, @@ -4936,7 +5150,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 5222, + "duration_ms": 6270, "status_messages": [ { "message": "Thinking...", @@ -4948,11 +5162,11 @@ } ], "event_count": 3, - "request_id": "e37b444a-4347-4fb6-a205-e5c84a7b7e4e", - "response_id": "local-e37b444a-4347-4fb6-a205-e5c84a7b7e4e", + "request_id": "89924f6c-35c1-4998-a7ea-9b1622aee723", + "response_id": "local-89924f6c-35c1-4998-a7ea-9b1622aee723", "images_count": 0, "graphs_count": 0, - "response": "What specific aspect of the latest Virtual Fly Brain release are you referring to?", + "response": "What specific aspect of the latest Virtual Fly Brain release are you interested in?", "quality_flags": { "has_tool_status": false, "no_tool_factual_answer": true, @@ -4963,7 +5177,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 82, + "response_chars": 83, "status_count": 2 } }, @@ -4978,7 +5192,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 1220, + "duration_ms": 13786, "status_messages": [ { "message": "Thinking...", @@ -4987,17 +5201,29 @@ { "message": "Planning the answer", "phase": "llm" + }, + { + "message": "Reading VFB documentation", + "phase": "mcp" + }, + { + "message": "Checking the literature", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" } ], - "event_count": 3, - "request_id": "18f8138e-714f-46a1-95cc-187f21181967", - "response_id": "local-18f8138e-714f-46a1-95cc-187f21181967", + "event_count": 198, + "request_id": "1ac610cf-faeb-4fe7-a1e9-e919392c653d", + "response_id": "chatcmpl-43e57224f1fb2a3dcfffa7a5bd22a5f3", "images_count": 0, "graphs_count": 0, - "response": "What specific aspect of VFB-connect in Python do you need help with?", + "response": "To install and get started with VFB-connect in Python, I would recommend checking the official VFB-connect documentation for the most up-to-date instructions. However, I can provide general guidance on how to get started with Python packages. \n\nTypically, Python packages are installed using pip, the Python package installer. If VFB-connect is available on PyPI, the Python Package Index, you would install it by running a command like \"pip install vfb-connect\" in your terminal or command prompt. \n\nAfter installation, you would usually import the package in your Python script or code, and then use its functions and classes as needed. Without more specific information about VFB-connect, such as its documentation or source code, it's difficult to provide more detailed instructions.\n\nVFB does not currently hold specific data on installing or using VFB-connect in Python. For more information, I would suggest searching for the official VFB-connect documentation or contacting the developers directly.", "quality_flags": { - "has_tool_status": false, - "no_tool_factual_answer": true, + "has_tool_status": true, + "no_tool_factual_answer": false, "tool_claim_without_tool": false, "disambiguation_only_answer": false, "investigation_plan_answer": false, @@ -5005,8 +5231,8 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 68, - "status_count": 2 + "response_chars": 1006, + "status_count": 5 } }, { @@ -5020,7 +5246,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 8181, + "duration_ms": 8090, "status_messages": [ { "message": "Thinking...", @@ -5043,12 +5269,12 @@ "phase": "llm" } ], - "event_count": 151, - "request_id": "ac1eb03f-e6fd-45d2-85f8-0eb778eab006", - "response_id": "chatcmpl-37b31ce6e715b6d93fcb2e256527dbcb", + "event_count": 119, + "request_id": "51a356ab-4109-404e-bdee-b2622f7f8f5f", + "response_id": "chatcmpl-ee7261011cd845ba1198167595003ca2", "images_count": 0, "graphs_count": 0, - "response": "To query Virtual Fly Brain programmatically, you can use either the SOLR or Owlery API. The Owlery API provides OWL reasoning services for Virtual Fly Brain's ontologies, enabling complex queries over class hierarchies and relationships. The SOLR Search API provides fast text search and autocomplete functionality for Virtual Fly Brain entities, datasets, and publications. This information comes from the Virtual Fly Brain documentation, as indicated by the reference to \"search_reviewed_docs\". VFB holds documentation on how to use these APIs, but the exact details of the APIs and their usage are not specified in the available data. For more information, you can refer to the Virtual Fly Brain documentation and explore the available API endpoints and query parameters.", + "response": "To query Virtual Fly Brain programmatically, you can use either the SOLR or Owlery API. The Owlery API provides OWL reasoning services for Virtual Fly Brain's ontologies, enabling complex queries over class hierarchies and relationships. The SOLR Search API provides fast text search and autocomplete functionality for Virtual Fly Brain entities, datasets, and publications. This information comes from the Virtual Fly Brain documentation, which can be found by reviewing the search reviewed documents. VFB holds documentation on how to use these APIs, which can be accessed through the search reviewed documents.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -5059,7 +5285,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 774, + "response_chars": 613, "status_count": 5 } }, @@ -5074,7 +5300,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 11377, + "duration_ms": 11954, "status_messages": [ { "message": "Thinking...", @@ -5249,12 +5475,12 @@ "phase": "llm" } ], - "event_count": 237, - "request_id": "752dc2e1-2198-406a-bebc-3963acf9d636", - "response_id": "chatcmpl-fe6834b83a6e2ee7c091c5e372b32f6c", + "event_count": 230, + "request_id": "107faeec-f5c8-4eac-bbd1-92e3d0574e6e", + "response_id": "chatcmpl-7ac891684c2e9649bd94502a41722c79", "images_count": 0, "graphs_count": 0, - "response": "To explore Virtual Fly Brain neurons using Navis or pymaid, you can utilize these tools to analyze and visualize neuronal data. Navis is a Python package for working with neuroanatomical data, and pymaid is a Python interface to the CATMAID software, which is used for neural circuit reconstruction. \n\nThe connectome data indicates that Navis and pymaid can be used to explore neurons from various datasets, including those from Virtual Fly Brain. However, the specific steps and implementation details would depend on the particular dataset and the desired analysis.\n\nVFB does not currently hold detailed documentation on using Navis or pymaid with Virtual Fly Brain data. For more information, you may need to consult the documentation for Navis and pymaid, or search for relevant tutorials or publications. \n\nYou can also try querying the Virtual Fly Brain database or exploring its web interface to see if it provides any built-in tools or features for working with Navis or pymaid.", + "response": "To explore Virtual Fly Brain neurons using Navis or pymaid, you can utilize these tools to analyze and visualize neuronal data. The connectome data indicates that Navis and pymaid are Python packages designed for working with neuronal morphology and connectivity data. \n\nVFB does not currently hold specific documentation or tutorials on using Navis or pymaid with Virtual Fly Brain data. However, you can explore the Virtual Fly Brain database to find relevant neuronal data and then use Navis or pymaid to analyze and visualize this data. \n\nYou may want to look into the documentation for Navis and pymaid to learn more about their capabilities and how to use them with Virtual Fly Brain data. Additionally, you can search for tutorials or examples online that demonstrate how to use these tools together. \n\nPlease note that the availability and specifics of this functionality may depend on the current state of the Virtual Fly Brain database and the Navis and pymaid packages.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -5265,7 +5491,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 986, + "response_chars": 980, "status_count": 43 } }, @@ -5280,7 +5506,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 1268, + "duration_ms": 1188, "status_messages": [ { "message": "Thinking...", @@ -5292,8 +5518,8 @@ } ], "event_count": 3, - "request_id": "559d3f21-43fc-4f75-9429-6499bdc1c523", - "response_id": "local-559d3f21-43fc-4f75-9429-6499bdc1c523", + "request_id": "fed483e3-25f0-4565-9cbe-b872983ffa83", + "response_id": "local-fed483e3-25f0-4565-9cbe-b872983ffa83", "images_count": 0, "graphs_count": 0, "response": "What specific aspect of the Virtual Fly Brain Model Context Protocol tool do you need help with?", @@ -5322,7 +5548,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 7658, + "duration_ms": 7707, "status_messages": [ { "message": "Thinking...", @@ -5498,8 +5724,8 @@ } ], "event_count": 65, - "request_id": "e1811811-e04f-4eff-a913-d4922d81d847", - "response_id": "chatcmpl-ca1f7c20a561b1b870a12007e710d014", + "request_id": "244855f2-d6c1-4249-b990-ada48f57a058", + "response_id": "chatcmpl-d1b38bc5e9458779d79c766cb9c8860d", "images_count": 0, "graphs_count": 0, "response": "VFB does not currently hold data on when predicted neurotransmitters for EM data became available on VFB.", @@ -5528,7 +5754,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 12270, + "duration_ms": 11910, "status_messages": [ { "message": "Thinking...", @@ -5704,8 +5930,8 @@ } ], "event_count": 107, - "request_id": "5041b7e9-ccbc-41f7-8253-9fe09868e14b", - "response_id": "chatcmpl-391d081a570709f7d6970bfbfc513c2c", + "request_id": "8c0801af-58b3-4155-9dba-151dab81826f", + "response_id": "chatcmpl-6fb526aaed59fe00998e9bc0c3d4f051", "images_count": 0, "graphs_count": 0, "response": "The NeuroFly 2026 conference will be held at the University of Cologne, Germany, from September 7th to 11th, 2026, as stated in the documentation from the Virtual Fly Brain blog. VFB does not currently hold additional data on this conference beyond what is provided in the documentation.", @@ -5734,7 +5960,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 11843, + "duration_ms": 12641, "status_messages": [ { "message": "Thinking...", @@ -5765,12 +5991,12 @@ "phase": "llm" } ], - "event_count": 118, - "request_id": "dd2a96ec-06bc-40ec-bb59-6c536a24d897", - "response_id": "chatcmpl-63c6639a035310f67faf5839e22bb49b", + "event_count": 142, + "request_id": "260e71c5-8074-4d85-a6c3-31534c5b0f13", + "response_id": "chatcmpl-bf67c24b4c40285607ce538cb7db5e41", "images_count": 8, "graphs_count": 0, - "response": "The Virtual Fly Brain database indicates that materials from the VFB 'Hacking the connectome' workshop are available, including tutorials. VFB holds various records related to the [adult ventral fan-shaped body tangential neuron](https://www.virtualflybrain.org/reports/FBbt_00049538 \"Open adult ventral fan-shaped body tangential neuron in Virtual Fly Brain\"), such as images, splits targeting this neuron, subclasses, transgene expression, downstream connectivity classes, and upstream connectivity classes. To explore these, you can run queries to list all available images, splits, subclasses, transgene expression, downstream connectivity classes, and upstream connectivity classes for the adult ventral fan-shaped body tangential neuron.", + "response": "The Virtual Fly Brain database indicates that materials from the VFB 'Hacking the connectome' workshop are available, including tutorials. VFB holds various records related to the [adult ventral fan-shaped body tangential neuron](https://www.virtualflybrain.org/reports/FBbt_00049538 \"Open adult ventral fan-shaped body tangential neuron in Virtual Fly Brain\"), such as available images, splits targeting this neuron, subclasses, transgene expression, downstream connectivity classes, and upstream connectivity classes. To access the specific materials from the workshop, you can search the reviewed documents. For more information on the adult ventral fan-shaped body tangential neuron, you can run queries to retrieve the available data, including the number of images, splits, subclasses, transgene expression records, downstream connectivity classes, and upstream connectivity classes.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -5781,7 +6007,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 743, + "response_chars": 889, "status_count": 7 } }, @@ -5796,7 +6022,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 11508, + "duration_ms": 12304, "status_messages": [ { "message": "Thinking...", @@ -5971,12 +6197,12 @@ "phase": "llm" } ], - "event_count": 201, - "request_id": "9a542d7a-80f0-41a5-bd5d-2a0be1cda783", - "response_id": "chatcmpl-b5adfeb8188f540afd86b11f529a3239", + "event_count": 205, + "request_id": "bad4a7fc-da65-4965-af94-cd07698dbb9d", + "response_id": "chatcmpl-8f553141d34cab61dbb391886de38497", "images_count": 2, "graphs_count": 0, - "response": "To access the FAFB or FANC CATMAID datasets via Virtual Fly Brain, you can utilize the available queries for the resolved entities. For [DNp44 (FAFB:3094186)](https://www.virtualflybrain.org/reports/VFB_001011rk \"Open DNp44 (FAFB:3094186) in Virtual Fly Brain\"), VFB holds data on Neurons connected to DNp44 (FAFB:3094186), which can be accessed by running the corresponding query to obtain the count of records. Similarly, for [neuron 2232 (FANC:492501)](https://www.virtualflybrain.org/reports/VFB_001027ke \"Open neuron 2232 (FANC:492501) in Virtual Fly Brain\"), VFB has annotated data on Neurons with similar morphology to neuron 2232 (FANC:492501) using NBLAST, and running this query will provide the count of such neurons. These queries can serve as a starting point to explore the FAFB and FANC CATMAID datasets within Virtual Fly Brain.", + "response": "To access the FAFB or FANC CATMAID datasets via Virtual Fly Brain, you can utilize the available queries for the resolved entities. For [DNp44 (FAFB:3094186)](https://www.virtualflybrain.org/reports/VFB_001011rk \"Open DNp44 (FAFB:3094186) in Virtual Fly Brain\"), VFB holds data on Neurons connected to DNp44 (FAFB:3094186), which can be accessed by running the corresponding query to obtain the count of connected neurons. Similarly, for [neuron 2232 (FANC:492501)](https://www.virtualflybrain.org/reports/VFB_001027ke \"Open neuron 2232 (FANC:492501) in Virtual Fly Brain\"), VFB has annotated data on Neurons with similar morphology to neuron 2232 (FANC:492501) using the NBLAST algorithm, and running this query will provide the count of such neurons. However, the exact access method to the FAFB or FANC CATMAID datasets themselves is not specified in the available data.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -5987,7 +6213,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 844, + "response_chars": 873, "status_count": 43 } }, @@ -6002,7 +6228,7 @@ "min_graphs": 0, "repetition": 1, "ok": true, - "duration_ms": 11734, + "duration_ms": 11406, "status_messages": [ { "message": "Thinking...", @@ -6029,12 +6255,12 @@ "phase": "llm" } ], - "event_count": 129, - "request_id": "a5c27f56-d21f-4240-9d12-dc14318b69ec", - "response_id": "chatcmpl-63442c291fbc276808c62c853aa1045c", + "event_count": 123, + "request_id": "3d025aae-91ee-41c0-9826-e5d5729cec84", + "response_id": "chatcmpl-6c1adb547acdea37309bae5bf941e84b", "images_count": 8, "graphs_count": 0, - "response": "The Virtual Fly Brain database indicates that there are circuit diagrams and images of the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") available. VFB holds [2](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,ListAllAvailableImages \"Run in VFB: List all available images of mushroom body\") records of available images of the mushroom body. Additionally, VFB has annotated a range of other data related to the mushroom body, including [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") neurons with some part in the mushroom body, [601](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in mushroom body\") neurons with synaptic terminals in the mushroom body, and [176](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,PartsOf \"Run in VFB: Parts of mushroom body\") parts of the mushroom body. This information is available through the Virtual Fly Brain database, as shown by the query results \"List all available images of mushroom body: 2\" and other term info from VFB.", + "response": "The Virtual Fly Brain database indicates that there are circuit diagrams and images of the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") available. According to the VFB data, there are [2](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,ListAllAvailableImages \"Run in VFB: List all available images of mushroom body\") available images of the mushroom body. Additionally, VFB holds various records related to the mushroom body, including neurons with some part in the mushroom body, neurons with synaptic terminals in the mushroom body, and parts of the mushroom body, among others. To explore these records, you can query the available images of the mushroom body, or examine the neurons, parts, and other related data that VFB has annotated for the mushroom body.", "quality_flags": { "has_tool_status": true, "no_tool_factual_answer": false, @@ -6045,7 +6271,7 @@ "graph_failure_mentioned": false, "missing_required_graph": false, "used_data_resource": false, - "response_chars": 1289, + "response_chars": 861, "status_count": 6 } } diff --git a/test-results/task-battery/task-battery-2026-07-14T21-26-14-145Z.json b/test-results/task-battery/task-battery-2026-07-14T21-26-14-145Z.json new file mode 100644 index 0000000..9cc1060 --- /dev/null +++ b/test-results/task-battery/task-battery-2026-07-14T21-26-14-145Z.json @@ -0,0 +1,6279 @@ +{ + "metadata": { + "run_id": "task-battery-2026-07-14T21-26-14-145Z", + "started_at": "2026-07-14T21:26:14.145Z", + "completed_at": "2026-07-14T21:30:43.687Z", + "git_sha": "97ec3f3305d661e3adf695c5ffeba3c93e68964e", + "task_file": "/home/runner/work/VFBchat/VFBchat/VFBchat/tests/task-battery/tasks.json", + "base_url": "http://127.0.0.1:3210", + "started_server": true, + "server_command": "start", + "repetitions": 1, + "concurrency": 4, + "timeout_ms": 240000 + }, + "prompt": { + "provenance_instruction": "Answer the following question about Drosophila neuroscience. For every claim you make, state where the information comes from - for example: the specific database, dataset, or tool query you used; the publication (with full citation); or your general training knowledge. If you are uncertain or do not have a source, say so explicitly rather than guessing." + }, + "summary": { + "total": 52, + "ok": 51, + "errors": 1, + "by_tier": { + "T1": { + "total": 8, + "ok": 8, + "errors": 0 + }, + "T2": { + "total": 8, + "ok": 8, + "errors": 0 + }, + "T3": { + "total": 8, + "ok": 8, + "errors": 0 + }, + "T4": { + "total": 6, + "ok": 6, + "errors": 0 + }, + "T5": { + "total": 1, + "ok": 0, + "errors": 1 + }, + "T6": { + "total": 21, + "ok": 21, + "errors": 0 + } + }, + "quality": { + "no_tool_factual_answer": { + "count": 3, + "task_ids": [ + "D6", + "D12", + "D16" + ] + }, + "tool_claim_without_tool": { + "count": 2, + "task_ids": [ + "D12", + "D16" + ] + }, + "disambiguation_only_answer": { + "count": 0, + "task_ids": [] + }, + "investigation_plan_answer": { + "count": 0, + "task_ids": [] + }, + "not_verified_or_no_results_answer": { + "count": 0, + "task_ids": [] + }, + "graph_failure_mentioned": { + "count": 0, + "task_ids": [] + }, + "missing_required_graph": { + "count": 1, + "task_ids": [ + "G1" + ] + }, + "used_data_resource": { + "count": 0, + "task_ids": [] + } + }, + "mean_duration_ms": 20395 + }, + "results": [ + { + "attempt_index": 0, + "task_index": 0, + "task_id": "T1.1", + "tier": 1, + "title": "Brain region identification", + "question": "What are the major subdivisions of the Drosophila mushroom body?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 12272, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning (direct lookup)", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Reading VFB term info", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 211, + "request_id": "b7c83d8c-5861-4696-afcf-bc0a1d8f2df2", + "response_id": "chatcmpl-08796bca42ffaa779335f309d6a64c61", + "images_count": 8, + "graphs_count": 0, + "response": "The major subdivisions of the Drosophila [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") are the calyx, pedunculus, and mushroom body lobe system, as recorded in VFB. VFB describes the mushroom body as divided into: the calyx, which is closest to the cortex and receives sensory interneuron afferents; the pedunculus, which is a thick axon bundle extending from the calyx to the base of the lobes; and the mushroom body lobe system, which consists of a vertical branch and a medial branch, which have different structures at different life stages. VFB holds various data related to the mushroom body, including images, neurons with some part in the mushroom body, and parts of the mushroom body, with counts of [2](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,ListAllAvailableImages \"Run in VFB: List all available images of mushroom body\") images, [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") neurons with some part in the mushroom body, and [176](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,PartsOf \"Run in VFB: Parts of mushroom body\") parts of the mushroom body. For further information, you can explore the available data in VFB, such as listing all available images of mushroom body or neurons with synaptic terminals in mushroom body.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1483, + "status_count": 5 + } + }, + { + "attempt_index": 1, + "task_index": 1, + "task_id": "T1.2", + "tier": 1, + "title": "Neuron type classification", + "question": "What types of Kenyon cells exist in the adult Drosophila brain?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 13497, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Summarising neuron taxonomy", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 199, + "request_id": "5cc6e3b5-539b-478b-81fc-3397a8cd39ed", + "response_id": "chatcmpl-116cac7a0c88e15a8101756963938988", + "images_count": 8, + "graphs_count": 0, + "response": "The types of Kenyon cells in the adult Drosophila brain include [[KCab-c](https://www.virtualflybrain.org/reports/FBbt_00110929 \"Open KCab-c in Virtual Fly Brain\")(i)](https://www.virtualflybrain.org/reports/FBbt_00049111 \"Open KCab-c(i) in Virtual Fly Brain\"), KCab-c, [KCg-m](https://www.virtualflybrain.org/reports/FBbt_00111061 \"Open KCg-m in Virtual Fly Brain\"), [[Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00003686 \"Open Kenyon cell in Virtual Fly Brain\") of main calyx](https://www.virtualflybrain.org/reports/FBbt_00047926 \"Open Kenyon cell of main calyx in Virtual Fly Brain\"), and [gamma Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100247 \"Open gamma Kenyon cell in Virtual Fly Brain\"), as well as alpha/beta Kenyon cell, alpha'/beta' Kenyon cell, and adult gamma Kenyon cell. VFB records show that there are several subclasses of Kenyon cell, with [37](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,SubclassesOf \"Run in VFB: Subclasses of Kenyon cell\") listed. These can be further subdivided into subtypes such as core, surface, posterior, anterior-posterior, middle, and dorsal. VFB holds 37 records of subclasses of Kenyon cell, and also has annotated scRNAseq data for Kenyon cell, transgene expression in Kenyon cell, downstream connectivity classes for Kenyon cell, and upstream connectivity classes for Kenyon cell. To explore the specific characteristics of each type, you can query the available images of Kenyon cell, which VFB holds [32328](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003686,ListAllAvailableImages \"Run in VFB: List all available images of Kenyon cell\") records of.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1695, + "status_count": 5 + } + }, + { + "attempt_index": 2, + "task_index": 2, + "task_id": "T1.3", + "tier": 1, + "title": "Basic connectivity", + "question": "What are the main input neurons to the mushroom body?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 13053, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 187, + "request_id": "ee23be67-7c9a-4647-91d8-9d62489669a5", + "response_id": "chatcmpl-352aea3d2d07370d9ebc6a46ce8e6747", + "images_count": 8, + "graphs_count": 0, + "response": "The main input neurons to the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") are sensory interneurons, according to the VFB database. VFB records show that the calyx, which is closest to the cortex, receives sensory interneuron afferents. Additionally, VFB data indicates that other main input neurons to the mushroom body include projection neurons from the antennal lobe, as well as sensory interneuron afferents to the calyx and neurons with presynaptic terminals in the mushroom body. This includes larval antennal lobe multiglomerular projection neurons and larval uniglomerular projection neurons. VFB holds [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") records of neurons with some part in the mushroom body, [601](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in mushroom body\") records of neurons with synaptic terminals in the mushroom body, and [366](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in mushroom body\") records of neurons with presynaptic terminals in the mushroom body, which may provide further information on the connectivity of the mushroom body.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1445, + "status_count": 5 + } + }, + { + "attempt_index": 3, + "task_index": 3, + "task_id": "T1.4", + "tier": 1, + "title": "Gene expression", + "question": "What neurotransmitter do mushroom body Kenyon cells use?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 10329, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Looking up neurotransmitter data", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 107, + "request_id": "1e5eae3b-4225-4d2f-a14e-758d53359519", + "response_id": "chatcmpl-dd1ed20f23cd3b5dd8503651a10bc8de", + "images_count": 8, + "graphs_count": 0, + "response": "The neurotransmitter used by [Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00003686 \"Open Kenyon cell in Virtual Fly Brain\") is indicated by VFB neurotransmitter tags to be acetylcholine, with VFB supporting Kenyon cell as cholinergic. VFB holds various data related to Kenyon cell, including a large number of images, subclasses, scRNAseq data, transgene expression data, and both downstream and upstream connectivity classes. To learn more about the neurotransmitter profile of Kenyon cell, you can use the VFB query.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 532, + "status_count": 5 + } + }, + { + "attempt_index": 4, + "task_index": 4, + "task_id": "T1.5", + "tier": 1, + "title": "Neuroanatomy", + "question": "What brain regions does the antennal lobe connect to?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 12828, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Reading VFB term info", + "phase": "mcp" + }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 126, + "request_id": "e4ae3f09-b6b8-4ed2-9ba6-6d9f2b84adc3", + "response_id": "chatcmpl-7543a0b6574e12abb369086fc01009c7", + "images_count": 6, + "graphs_count": 0, + "response": "The [antennal lobe](https://www.virtualflybrain.org/reports/FBbt_00003924 \"Open antennal lobe in Virtual Fly Brain\") connects to the mushroom body and lateral horn, as indicated by the description of antennal lobe projection neuron axons in VFB. VFB holds various data related to the antennal lobe, including a list of available images, neurons with some part in the antennal lobe, and parts of the antennal lobe. To learn more about the specific connections, you can query VFB for neurons with presynaptic or postsynaptic terminals in the antennal lobe, or explore the tracts and nerves innervating the antennal lobe.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 618, + "status_count": 6 + } + }, + { + "attempt_index": 5, + "task_index": 5, + "task_id": "T1.6", + "tier": 1, + "title": "Cell count", + "question": "Approximately how many neurons are in the adult Drosophila central brain?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 8979, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Counting neurons", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 115, + "request_id": "50b0fea4-f949-4aca-846d-a6790304d473", + "response_id": "chatcmpl-dbcccd2f21dbd2c81515507962e02a07", + "images_count": 8, + "graphs_count": 0, + "response": "VFB has annotated [9413](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047887,NeuronsPartHere \"Run in VFB: Neurons with some part in adult central brain\") neuron types with some part in the [adult central brain](https://www.virtualflybrain.org/reports/FBbt_00047887 \"Open adult central brain in Virtual Fly Brain\"). Additionally, VFB records show more than 125,000 neurons. The connectome data indicates a specific number of neurons with some part in the adult central brain, but this should not be taken as the biological total. For the adult central brain, VFB holds 9413 records of neurons with some part in this region, [462](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047887,PartsOf \"Run in VFB: Parts of adult central brain\") records of parts of the adult central brain, and [1](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047887,TransgeneExpressionHere \"Run in VFB: Transgene expression in adult central brain\") record of transgene expression in the adult central brain.\n\n**Published neuron-count estimates — adult central brain** (from the literature):\n\n- more than 125,000 neurons (adult Drosophila central brain connectome/model) — A Drosophila computational brain model reveals sensorimotor processing. — PMID 39358519\n- ~139,255 neurons (whole adult Drosophila brain) — Neuronal wiring diagram of an adult brain. — PMID 39358518\n\n_VFB has annotated 9,413 neuron types with some part in adult central brain — a curated annotation count, not the biological total._", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1554, + "status_count": 5 + } + }, + { + "attempt_index": 6, + "task_index": 6, + "task_id": "T1.7", + "tier": 1, + "title": "Central complex structure", + "question": "What are the main components of the Drosophila central complex and what functions are they associated with?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 9200, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning (direct lookup)", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 173, + "request_id": "ddedb0e0-5ca4-4e44-8a78-44ed449889a1", + "response_id": "chatcmpl-cc3e0fbef810159d74d6a8c2df317a39", + "images_count": 0, + "graphs_count": 0, + "response": "The Drosophila central complex is a critical structure in the insect brain, involved in various functions such as spatial navigation, locomotion, and sensory integration. However, VFB does not currently hold specific data on the main components of the Drosophila central complex. \n\nTo find more information on this topic, you can query the VFB database for annotations related to the central complex, or explore the available datasets and tools for Drosophila neuroscience research. \n\nIt is recommended to consult the relevant scientific literature, such as publications on the Drosophila central complex, for a more comprehensive understanding of its components and associated functions.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 688, + "status_count": 43 + } + }, + { + "attempt_index": 7, + "task_index": 7, + "task_id": "T1.8", + "tier": 1, + "title": "Genetic tools", + "question": "What genetic tools are commonly used to label mushroom body neurons in Drosophila?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 12353, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Finding genetic tools", + "phase": "mcp" + }, + { + "message": "Checking the literature", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 235, + "request_id": "5b797c13-ce89-4c8e-b634-7941a03f8819", + "response_id": "chatcmpl-1c7b720fb990708b66c5b2a41e672a94", + "images_count": 8, + "graphs_count": 0, + "response": "To determine the genetic tools commonly used to label [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") neurons in Drosophila, we would typically look for information in scientific publications or databases that specialize in Drosophila genetics and neuroscience. However, based on the information provided, we do not have direct access to specific publications or databases that list these tools.\n\nVFB holds extensive data on the mushroom body, including images, neurons with various types of connections to the mushroom body, parts of the mushroom body, and lineage clones found in the mushroom body. For example, VFB has annotated [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") neurons with some part in the mushroom body and [27619](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,ImagesNeurons \"Run in VFB: Images of neurons with some part in mushroom body\") images of neurons with some part in the mushroom body. While this data indicates the complexity and detail of information available on the mushroom body, it does not directly answer the question about genetic tools used for labeling.\n\nWithout specific evidence from publications or databases, I am uncertain about the commonly used genetic tools for labeling mushroom body neurons in Drosophila. For accurate information, consulting the latest research articles or databases such as FlyBase, which is a comprehensive database of Drosophila genetics and molecular biology, would be necessary.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1656, + "status_count": 6 + } + }, + { + "attempt_index": 8, + "task_index": 8, + "task_id": "T2.1", + "tier": 2, + "title": "Circuit motif", + "question": "Describe the dopaminergic input to mushroom body output neurons (MBONs). Which DAN types connect to which MBON types?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 208509, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 4 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 334, + "request_id": "dc86bea9-a9b7-484c-bad6-bbb73264372d", + "response_id": "chatcmpl-32c6e736beeb2490a2dbd2c8184829cb", + "images_count": 8, + "graphs_count": 0, + "response": "The dopaminergic input to mushroom body output neurons (MBONs) is a complex system, and the specific connections between different types of dopaminergic neurons and MBONs are not fully described in the provided evidence. However, VFB holds a range of data that may be relevant to understanding these connections. \n\nVFB has annotated a large number of records related to the upstream and downstream connectivity of MBONs, with [23753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") upstream connectivity classes and [29859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") downstream connectivity classes. Additionally, VFB holds data on the subclasses of MBONs, with [69](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,SubclassesOf \"Run in VFB: Subclasses of MBON\") subclasses annotated. \n\nFor adult dopaminergic mushroom body input neurons, VFB has data on their subclasses, transgene expression, and connectivity, although the exact number of records is not specified and would require running a query to determine. \n\nThe [larval mushroom body dopaminergic neuron h1](https://www.virtualflybrain.org/reports/FBbt_00111634 \"Open larval mushroom body dopaminergic neuron h1 in Virtual Fly Brain\") also has associated data in VFB, including transgene expression and connectivity classes, but again, the specifics would require querying the database.\n\nTo determine which types of adult dopaminergic mushroom body input neurons connect to which types of MBONs, it would be necessary to consult the specific connectivity data held in VFB, which is not provided in the evidence.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1828, + "status_count": 85 + } + }, + { + "attempt_index": 9, + "task_index": 9, + "task_id": "T2.2", + "tier": 2, + "title": "Cross-dataset comparison", + "question": "Is the connectivity of olfactory projection neurons consistent between the Hemibrain and FAFB connectome datasets?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 11239, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 3 terms in VFB", + "phase": "mcp" + }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, + { + "message": "Checking the literature", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 167, + "request_id": "8f48f277-17b7-4156-84aa-3ded600186de", + "response_id": "chatcmpl-9f603d3ff4598ce428201e03a3fb6bfb", + "images_count": 8, + "graphs_count": 0, + "response": "The connectivity of olfactory projection neurons can be examined in the context of available datasets. VFB holds data on neurons connected to [DNp44 (FAFB:3094186)](https://www.virtualflybrain.org/reports/VFB_001011rk \"Open DNp44 (FAFB:3094186) in Virtual Fly Brain\"), which can be queried for the count. Additionally, VFB has annotated various aspects of [olfactory projection neuron](https://www.virtualflybrain.org/reports/FBbt_00051298 \"Open olfactory projection neuron in Virtual Fly Brain\"), including downstream and upstream connectivity classes, which can be queried for the count. The [JRC_FlyEM_Hemibrain](https://www.virtualflybrain.org/reports/VFB_00101384 \"Open JRC_FlyEM_Hemibrain in Virtual Fly Brain\") dataset is also available in VFB, with [135](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=VFB_00101384,AllDatasets \"Run in VFB: All available datasets\") datasets. However, without specific data on the consistency of connectivity between the Hemibrain and FAFB connectome datasets, it is not possible to directly compare the two. To investigate this further, one could run queries on the available data, such as comparing the downstream connectivity classes for olfactory projection neuron in the two datasets.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1246, + "status_count": 6 + } + }, + { + "attempt_index": 10, + "task_index": 10, + "task_id": "T2.3", + "tier": 2, + "title": "Reagent identification", + "question": "I want to image neurons in the lateral horn. What split-GAL4 driver lines are available that target lateral horn neuron types?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 15789, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Reading VFB term info", + "phase": "mcp" + }, + { + "message": "Finding genetic tools", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 227, + "request_id": "49255ebc-e60a-4144-8ade-fa9785aafdf6", + "response_id": "chatcmpl-5165dd4581f06112818ee50003ea684d", + "images_count": 8, + "graphs_count": 0, + "response": "To image neurons in the [adult lateral horn](https://www.virtualflybrain.org/reports/FBbt_00007053 \"Open adult lateral horn in Virtual Fly Brain\"), you can consider using split-GAL4 driver lines that target specific neuron types. While the provided evidence does not explicitly mention split-GAL4 driver lines, it does refer to genetic tools available for the adult lateral horn, including transgene expression patterns such as P{GMR13A07-GAL4}. \n\nThe VFB database records show that there are [1934](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,TransgeneExpressionHere \"Run in VFB: Transgene expression in adult lateral horn\") transgene expression patterns available for the adult lateral horn, which may include split-GAL4 driver lines. However, the specific split-GAL4 driver lines targeting lateral horn neuron types are not mentioned in the provided evidence.\n\nVFB holds records of neurons with some part in the adult lateral horn ([1661](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,NeuronsPartHere \"Run in VFB: Neurons with some part in adult lateral horn\")), neurons with synaptic terminals in the adult lateral horn ([1658](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in adult lateral horn\")), and images of neurons with some part in the adult lateral horn ([17792](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,ImagesNeurons \"Run in VFB: Images of neurons with some part in adult lateral horn\")). You can explore these records to find more information about the neuron types and potential genetic tools available for imaging them. \n\nFor more specific information about split-GAL4 driver lines, you may need to consult additional resources or databases.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1854, + "status_count": 6 + } + }, + { + "attempt_index": 11, + "task_index": 11, + "task_id": "T2.4", + "tier": 2, + "title": "Neuron characterisation", + "question": "What is known about the LPLC2 visual neuron type? Where is it, what does it connect to, and what is its function?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 24198, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Querying VFB", + "phase": "mcp" + }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 307, + "request_id": "fd154dae-301e-416d-9ed8-5ce27644b430", + "response_id": "chatcmpl-59239c24306ca08cb14233f00b6c30b2", + "images_count": 1, + "graphs_count": 0, + "response": "The [LPLC2](https://www.virtualflybrain.org/reports/VFB_jrch0cuk \"Open LPLC2 in Virtual Fly Brain\") visual neuron type is characterized as a Lobula plate-lobula columnar neuron with specific characteristics and functions. According to VFB, its cell body is located in the dorsal area of the lateral cell body rind. The LPLC2 neuron has a distinct dendritic arbor in each lobula plate layer, extending outwards from the main fiber in the direction of motion detection for the layer, allowing it to detect looming stimuli. In the lobula, it has its main dendritic arbors in layers 4 and 5B, with minor processes in layer 5A, and presynaptic sites in layer 4. \n\nVFB records show that the LPLC2 neuron projects to an optic glomerulus of the PVLP, anterior to LPLC1 and dorsal to LC4. Its activity is associated with a jump escape response. The connectome data indicates that the arbors of LPLC2 neurons span approximately 25 lobula optic columns, overlapping with other LPLC2 cells. VFB holds data on approximately 80 of these cells per optic lobe, and they are predicted as cholinergic. \n\nVFB does not currently hold comprehensive data on all connections of the LPLC2 neuron type. However, the available data can be used to explore its connections and function further. Follow-up queries can be used to investigate the specific connections and relationships of the LPLC2 neuron type in more detail.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1395, + "status_count": 6 + } + }, + { + "attempt_index": 12, + "task_index": 12, + "task_id": "T2.5", + "tier": 2, + "title": "Comparative anatomy", + "question": "How does the organisation of the antennal lobe compare between adult and larval Drosophila?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 12245, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Querying VFB", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 164, + "request_id": "2de7d603-8929-41b4-8447-169198aee947", + "response_id": "chatcmpl-64ad52718a4853db41da31defbe38a48", + "images_count": 6, + "graphs_count": 0, + "response": "The organisation of the [antennal lobe](https://www.virtualflybrain.org/reports/FBbt_00003924 \"Open antennal lobe in Virtual Fly Brain\") compares between adult and larval Drosophila in terms of glomerular organization and tract connections, with the adult antennal lobe being more elaborated as a glomerular neuropil. This information comes from VFB. \n\nVFB holds various data related to the antennal lobe, including images, neurons with some part in the antennal lobe, neurons with synaptic terminals in the antennal lobe, and tracts/nerves innervating the antennal lobe. To learn more about the specific organisation of the antennal lobe in adult and larval Drosophila, you can query VFB for the available images of antennal lobe, or explore the neurons and tracts associated with this region.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 794, + "status_count": 5 + } + }, + { + "attempt_index": 13, + "task_index": 13, + "task_id": "T2.6", + "tier": 2, + "title": "Publications for a circuit", + "question": "What publications describe the PPL1 dopaminergic neurons and their role in aversive memory?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 84250, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Querying VFB", + "phase": "mcp" + }, + { + "message": "Querying VFB", + "phase": "mcp" + }, + { + "message": "Reading the literature", + "phase": "mcp" + }, + { + "message": "Checking the literature", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 262, + "request_id": "33ce6d05-12e2-4726-92a9-1d1c0553ac4c", + "response_id": "chatcmpl-7395f8590ffc60cb92abc75f3fc7d5b8", + "images_count": 8, + "graphs_count": 0, + "response": "Publications describing the [dopaminergic PPL1 neuron](https://www.virtualflybrain.org/reports/FBbt_00100219 \"Open dopaminergic PPL1 neuron in Virtual Fly Brain\") and their role in aversive memory include: Claridge-Chang et al., 2009, Mao and Davis, 2009, Budnik and White, 1988, Ren et al., 2016, as listed in the VFB database. \n\nThe VFB database holds information on the dopaminergic PPL1 neuron, including its location in a cluster of approximately 12 cell bodies in the cortex of the posterior inferior lateral protocerebrum of the adult brain, immediately lateral to the mushroom body calyx. \n\nVFB has annotated various data related to the dopaminergic PPL1 neuron, including available images, splits targeting PPL1, subclasses of PPL1, transgene expression in PPL1, downstream connectivity classes for PPL1, and upstream connectivity classes for PPL1. The exact counts for these records can be obtained by running the respective queries in VFB. \n\nTo further explore the role of dopaminergic PPL1 neurons in aversive memory, one can search PubMed using relevant keywords, as the VFB database suggests the existence of publications on this topic, including those describing specific dopamine pathways and their involvement in aversive odor memories.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1253, + "status_count": 8 + } + }, + { + "attempt_index": 14, + "task_index": 14, + "task_id": "T2.7", + "tier": 2, + "title": "Morphological similarity", + "question": "Are there neurons in the Hemibrain dataset that are morphologically similar to the fru+ mAL neurons described in light microscopy studies?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 13595, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 189, + "request_id": "cee15bf2-e76e-43a6-bf3a-759201364c51", + "response_id": "chatcmpl-26d01cb665d3ef7420b16b32fc80c419", + "images_count": 0, + "graphs_count": 0, + "response": "The Hemibrain dataset contains neurons morphologically similar to the fru+ mAL neurons, as indicated by the presence of adult fru-mAL neuron and fru-aDT1 in the dataset, according to VFB. Specifically, VFB holds data on the [adult fruitless aDT1 neuron](https://www.virtualflybrain.org/reports/FBbt_00110537 \"Open adult fruitless aDT1 neuron in Virtual Fly Brain\"), including Splits targeting fru-aDT1, Subclasses of fru-aDT1, Transgene expression in fru-aDT1, Downstream connectivity classes for fru-aDT1, and Upstream connectivity classes for fru-aDT1. Running queries for these counts may provide further information on the morphological similarity of neurons in the Hemibrain dataset to the fru+ mAL neurons.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 712, + "status_count": 43 + } + }, + { + "attempt_index": 15, + "task_index": 15, + "task_id": "T2.8", + "tier": 2, + "title": "Upstream circuit", + "question": "What sensory neurons provide input to the fan-shaped body, and through how many synaptic steps?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 16625, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Reading VFB term info", + "phase": "mcp" + }, + { + "message": "Tracing the pathway", + "phase": "mcp" + }, + { + "message": "Querying VFB", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 173, + "request_id": "4b1c30c0-1d19-48a2-827c-bec0117a2994", + "response_id": "chatcmpl-60997e6c8a76946c92fd663606ca03ae", + "images_count": 8, + "graphs_count": 0, + "response": "The [fan-shaped body](https://www.virtualflybrain.org/reports/FBbt_00003679 \"Open fan-shaped body in Virtual Fly Brain\") receives input from various sensory neurons. VFB records show that there are [102](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in fan-shaped body\") neurons with presynaptic terminals in the fan-shaped body, and [72](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPostsynapticHere \"Run in VFB: Neurons with postsynaptic terminals in fan-shaped body\") neurons with postsynaptic terminals in the fan-shaped body. The connectome data indicates that these neurons may provide input to the fan-shaped body, but the exact number of synaptic steps is not specified in the available data. VFB holds [229](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,NeuronsPartHere \"Run in VFB: Neurons with some part in fan-shaped body\") records of neurons with synaptic terminals in the fan-shaped body, which may be relevant for a narrower follow-up. To determine the specific sensory neurons and the number of synaptic steps involved, further analysis of the available data, such as the images of neurons with some part in the fan-shaped body ([11,175](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,ImagesNeurons \"Run in VFB: Images of neurons with some part in fan-shaped body\") records) or the transgene expression in the fan-shaped body ([1,624](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003679,TransgeneExpressionHere \"Run in VFB: Transgene expression in fan-shaped body\") records), may be necessary.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1741, + "status_count": 7 + } + }, + { + "attempt_index": 16, + "task_index": 16, + "task_id": "T3.1", + "tier": 3, + "title": "Bidirectional connectivity", + "question": "Are there reciprocal connections between mushroom body output neurons (MBONs) and dopaminergic neurons (DANs)? Which pairs have the strongest mutual connectivity?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 139947, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 220, + "request_id": "1f11c30d-8961-4926-9bbd-f01770880104", + "response_id": "chatcmpl-5142260b7a6589080145f63979e7a1cd", + "images_count": 8, + "graphs_count": 0, + "response": "The VFB database indicates that there are reciprocal connections between mushroom body output neurons and dopaminergic neurons. According to the VFB findings, there are 5 reciprocal class-level pairs between these two neuron types. The evidence from VFB suggests that these reciprocal connections involve specific pairs of mushroom body output neurons and dopaminergic neurons, but it does not specify which pairs have the strongest mutual connectivity. \n\nVFB holds various data that may be relevant for a narrower follow-up, including downstream and upstream connectivity classes for both [dopaminergic neuron](https://www.virtualflybrain.org/reports/FBbt_00005131 \"Open dopaminergic neuron in Virtual Fly Brain\") and [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\"), as well as transgene expression data and scRNAseq data for these neuron types. Running queries on these datasets may provide more detailed information on the connectivity between mushroom body output neurons and dopaminergic neurons. \n\nFor example, querying the downstream connectivity classes for dopaminergic neuron or the upstream connectivity classes for mushroom body output neuron may help identify the specific pairs with the strongest mutual connectivity. Similarly, examining the transgene expression data or scRNAseq data for these neuron types could provide additional insights into their connectivity patterns.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1483, + "status_count": 5 + } + }, + { + "attempt_index": 17, + "task_index": 17, + "task_id": "T3.2", + "tier": 3, + "title": "Pathway tracing", + "question": "Trace a pathway from olfactory receptor neurons to the lateral horn. What are the intermediate neuron types and their connections?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 12472, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Tracing the pathway", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 208, + "request_id": "f48fcdd7-b2a3-4544-9f4d-8f31cdb99668", + "response_id": "chatcmpl-30744c84c98b6f934dd652d268f37371", + "images_count": 8, + "graphs_count": 0, + "response": "To trace a pathway from olfactory receptor neurons to the lateral horn, we can look at the intermediate neuron types and their connections. According to VFB, antennal lobe projection neurons are intermediate neuron types that connect olfactory receptor neurons to the lateral horn. The pathway is described as: [olfactory receptor neuron](https://www.virtualflybrain.org/reports/FBbt_00005926 \"Open olfactory receptor neuron in Virtual Fly Brain\") -> antennal lobe projection neuron -> lateral horn.\n\nVFB holds various data that may be relevant to understanding this pathway, including downstream and upstream connectivity classes for olfactory receptor neuron, as well as neurons with some part in, synaptic terminals in, presynaptic terminals in, and postsynaptic terminals in [adult lateral horn](https://www.virtualflybrain.org/reports/FBbt_00007053 \"Open adult lateral horn in Virtual Fly Brain\"). For example, VFB has annotated [1661](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,NeuronsPartHere \"Run in VFB: Neurons with some part in adult lateral horn\") neurons with some part in adult lateral horn and [816](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00007053,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in adult lateral horn\") neurons with presynaptic terminals in adult lateral horn. \n\nTo further explore this pathway, you can query VFB for specific data, such as the list of downstream connectivity classes for olfactory receptor neuron or the list of neurons with synaptic terminals in adult lateral horn.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1604, + "status_count": 5 + } + }, + { + "attempt_index": 18, + "task_index": 18, + "task_id": "T3.3", + "tier": 3, + "title": "Cell type taxonomy depth", + "question": "How many distinct neuron types are currently classified within the adult Drosophila visual system, and how are they organised hierarchically?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 15570, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Reading VFB term info", + "phase": "mcp" + }, + { + "message": "Summarising neuron taxonomy", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 207, + "request_id": "ebdbbd9e-f0b8-4a11-b3aa-2e65aa23b9f3", + "response_id": "chatcmpl-e91f0a78cf6e19eb4497079f852d7973", + "images_count": 8, + "graphs_count": 0, + "response": "The [visual system](https://www.virtualflybrain.org/reports/FBbt_00047735 \"Open visual system in Virtual Fly Brain\") consists of various neuron types, including photoreceptor cells and interneurons such as lamina wide-field neurons and medulla intrinsic neurons, as recorded in VFB. VFB holds records of [1046](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsPartHere \"Run in VFB: Neurons with some part in visual system\") neurons with some part in the visual system, including specific examples such as [AVLP391](https://www.virtualflybrain.org/reports/FBbt_20000500 \"Open AVLP391 in Virtual Fly Brain\"), [Dm8b](https://www.virtualflybrain.org/reports/FBbt_00110069 \"Open Dm8b in Virtual Fly Brain\"), [MC](https://www.virtualflybrain.org/reports/FBbt_00111640 \"Open MC in Virtual Fly Brain\"), and [PLP031](https://www.virtualflybrain.org/reports/FBbt_20001531 \"Open PLP031 in Virtual Fly Brain\"), as well as the [adult odd neuron of the lobula plate](https://www.virtualflybrain.org/reports/FBbt_00111630 \"Open adult odd neuron of the lobula plate in Virtual Fly Brain\"). However, the exact number of distinct neuron types currently classified within the adult Drosophila visual system and their hierarchical organisation is not explicitly stated in the available data. VFB has annotated a large number of neurons related to the visual system, with [982](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in visual system\") neurons having synaptic terminals, [690](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in visual system\") having presynaptic terminals, and [897](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsPostsynapticHere \"Run in VFB: Neurons with postsynaptic terminals in visual system\") having postsynaptic terminals in this system. Additionally, VFB holds information on [1153](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,PartsOf \"Run in VFB: Parts of visual system\") parts of the visual system. Further queries can be made to explore the specific characteristics and relationships of these neurons within the visual system.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 2342, + "status_count": 6 + } + }, + { + "attempt_index": 19, + "task_index": 19, + "task_id": "T3.4", + "tier": 3, + "title": "Connectivity strength comparison", + "question": "Which neuron type provides the strongest synaptic input to the MBON-gamma1pedc>a/b neuron, and how does this compare to the next strongest inputs?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 13248, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 131, + "request_id": "55cbe3bb-01b6-406a-b3ea-a9aec631adec", + "response_id": "chatcmpl-7200dc2fabba653d3057f25d2275062b", + "images_count": 8, + "graphs_count": 1, + "response": "The strongest synaptic input to MBON-gamma1pedc>a/b neuron is from mushroom body intrinsic neuron, with a total weight of 45838, according to the VFB database, as determined by the VFB query. The next strongest input is from Kenyon cell, with a total weight of 44880. VFB holds a range of data on [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\"), including subclasses of MBON, scRNAseq data, transgene expression, and downstream and upstream connectivity classes, which may provide further context for understanding the connectivity of MBON-gamma1pedc>a/b.", + "graphs": [ + { + "type": "basic_graph", + "version": 1, + "title": "Upstream partners of MBON11", + "directed": true, + "layout": "circle", + "nodes": [ + { + "id": "FBbt_00005106", + "label": "neuron", + "group": null, + "color": null, + "size": 1.8 + }, + { + "id": "FBbt_00100246", + "label": "MBON11", + "group": null, + "color": null, + "size": 4 + }, + { + "id": "FBbt_00047095", + "label": "adult neuron", + "group": null, + "color": null, + "size": 1.8 + }, + { + "id": "FBbt_00007484", + "label": "mushroom body intrinsic neuron", + "group": null, + "color": null, + "size": 1.71 + }, + { + "id": "FBbt_00003686", + "label": "Kenyon cell", + "group": null, + "color": null, + "size": 1.69 + } + ], + "edges": [ + { + "source": "FBbt_00005106", + "target": "FBbt_00100246", + "label": "52020", + "weight": 52020 + }, + { + "source": "FBbt_00047095", + "target": "FBbt_00100246", + "label": "51972", + "weight": 51972 + }, + { + "source": "FBbt_00007484", + "target": "FBbt_00100246", + "label": "45838", + "weight": 45838 + }, + { + "source": "FBbt_00003686", + "target": "FBbt_00100246", + "label": "44880", + "weight": 44880 + } + ] + } + ], + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 648, + "status_count": 5 + } + }, + { + "attempt_index": 20, + "task_index": 20, + "task_id": "T3.5", + "tier": 3, + "title": "Shared connectivity", + "question": "Do the alpha/beta and gamma Kenyon cells converge on any of the same downstream MBON types? Which MBONs receive input from both?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 14226, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 3 terms in VFB", + "phase": "mcp" + }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, + { + "message": "Checking the literature", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 240, + "request_id": "8fd2a700-b041-4d05-9e83-71ec6695789a", + "response_id": "chatcmpl-98c62d2155b907f74237fac57eb8bbf8", + "images_count": 8, + "graphs_count": 1, + "response": "To determine if the alpha/beta Kenyon cells and gamma Kenyon cells converge on the same downstream [mushroom body output neuron](https://www.virtualflybrain.org/reports/FBbt_00047953 \"Open mushroom body output neuron in Virtual Fly Brain\") types, we can look at the available data on their connectivity. VFB holds downstream connectivity classes for mushroom body output neuron ([29859](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for MBON\") records) and upstream connectivity classes for mushroom body output neuron ([23753](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047953,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for MBON\") records), which may indicate which mushroom body output neurons receive input from both alpha/beta Kenyon cells and gamma Kenyon cells. \n\nVFB also holds downstream connectivity classes for [alpha/beta Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100248 \"Open alpha/beta Kenyon cell in Virtual Fly Brain\") ([1665](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00100248,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for KCab\") records) and for [gamma Kenyon cell](https://www.virtualflybrain.org/reports/FBbt_00100247 \"Open gamma Kenyon cell in Virtual Fly Brain\") (available - run this query for the count), as well as upstream connectivity classes for alpha/beta Kenyon cell ([1770](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00100248,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for KCab\") records) and for gamma Kenyon cell (available - run this query for the count). These records may provide information on the specific mushroom body output neurons that receive input from alpha/beta Kenyon cells and gamma Kenyon cells. \n\nHowever, without running the specific queries for gamma Kenyon cell connectivity or examining the individual records, we cannot determine which mushroom body output neurons receive input from both alpha/beta Kenyon cells and gamma Kenyon cells.", + "graphs": [ + { + "type": "basic_graph", + "version": 1, + "title": "Downstream targets by source class", + "directed": true, + "layout": "circle", + "nodes": [ + { + "id": "FBbt_00100248", + "label": "KCab", + "group": null, + "color": null, + "size": 4 + }, + { + "id": "FBbt_00047955", + "label": "adult mushroom body output neuron", + "group": null, + "color": null, + "size": 1.75 + }, + { + "id": "FBbt_00047953", + "label": "mushroom body output neuron", + "group": null, + "color": null, + "size": 1.75 + }, + { + "id": "FBbt_00049843", + "label": "adult typical mushroom body output neuron", + "group": null, + "color": null, + "size": 1.72 + }, + { + "id": "FBbt_00111005", + "label": "mushroom body output neuron 7", + "group": null, + "color": null, + "size": 1.17 + }, + { + "id": "FBbt_00100238", + "label": "mushroom body output neuron 14", + "group": null, + "color": null, + "size": 1.15 + }, + { + "id": "FBbt_00100242", + "label": "mushroom body output neuron 6", + "group": null, + "color": null, + "size": 1.1 + }, + { + "id": "FBbt_00111012", + "label": "mushroom body output neuron 2", + "group": null, + "color": null, + "size": 1.09 + }, + { + "id": "FBbt_00110101", + "label": "mushroom body output neuron 18", + "group": null, + "color": null, + "size": 1.08 + }, + { + "id": "FBbt_00100246", + "label": "mushroom body output neuron 11", + "group": null, + "color": null, + "size": 1.05 + }, + { + "id": "FBbt_00100240", + "label": "mushroom body output neuron 22", + "group": null, + "color": null, + "size": 1.05 + }, + { + "id": "FBbt_00049842", + "label": "adult atypical mushroom body output neuron", + "group": null, + "color": null, + "size": 1.03 + }, + { + "id": "FBbt_00049844", + "label": "mushroom body output neuron 24", + "group": null, + "color": null, + "size": 1.03 + }, + { + "id": "FBbt_00049113", + "label": "mushroom body output neuron 23", + "group": null, + "color": null, + "size": 1.02 + }, + { + "id": "FBbt_00111011", + "label": "mushroom body output neuron 19", + "group": null, + "color": null, + "size": 1.01 + }, + { + "id": "FBbt_00100232", + "label": "mushroom body output neuron 3", + "group": null, + "color": null, + "size": 1 + }, + { + "id": "FBbt_00100234", + "label": "mushroom body output neuron 1", + "group": null, + "color": null, + "size": 1 + }, + { + "id": "FBbt_00111046", + "label": "mushroom body output neuron 21", + "group": null, + "color": null, + "size": 1 + }, + { + "id": "FBbt_00100239", + "label": "mushroom body output neuron 13", + "group": null, + "color": null, + "size": 1 + }, + { + "id": "FBbt_00111007", + "label": "mushroom body output neuron 9", + "group": null, + "color": null, + "size": 1 + }, + { + "id": "FBbt_00111009", + "label": "mushroom body output neuron 12", + "group": null, + "color": null, + "size": 1 + } + ], + "edges": [ + { + "source": "FBbt_00100248", + "target": "FBbt_00047955", + "label": "210083", + "weight": 210083 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00047953", + "label": "210083", + "weight": 210083 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00049843", + "label": "202570", + "weight": 202570 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00111005", + "label": "48241", + "weight": 48241 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00100238", + "label": "43144", + "weight": 43144 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00100242", + "label": "27788", + "weight": 27788 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00111012", + "label": "24232", + "weight": 24232 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00110101", + "label": "22072", + "weight": 22072 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00100246", + "label": "15172", + "weight": 15172 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00100240", + "label": "13677", + "weight": 13677 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00049842", + "label": "7513", + "weight": 7513 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00049844", + "label": "7510", + "weight": 7510 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00049113", + "label": "6024", + "weight": 6024 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00111011", + "label": "2165", + "weight": 2165 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00100232", + "label": "15", + "weight": 15 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00100234", + "label": "7", + "weight": 7 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00111046", + "label": "6", + "weight": 6 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00100239", + "label": "6", + "weight": 6 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00111007", + "label": "3", + "weight": 3 + }, + { + "source": "FBbt_00100248", + "target": "FBbt_00111009", + "label": "3", + "weight": 3 + } + ] + } + ], + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 2177, + "status_count": 6 + } + }, + { + "attempt_index": 21, + "task_index": 21, + "task_id": "T3.6", + "tier": 3, + "title": "Anatomical containment chain", + "question": "Trace the anatomical containment hierarchy from the DA1 glomerulus up to the top-level brain structure. What is each level in the hierarchy?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 15790, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Tracing the pathway", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 192, + "request_id": "101e9305-4cf6-495a-bc06-0b747db1f3f6", + "response_id": "chatcmpl-44522216ae2923d91fb676823ff741ca", + "images_count": 0, + "graphs_count": 0, + "response": "The containment hierarchy from the [antennal lobe glomerulus DA1](https://www.virtualflybrain.org/reports/FBbt_00003932 \"Open antennal lobe glomerulus DA1 in Virtual Fly Brain\") up to the top-level brain structure is: antennal lobe glomerulus DA1 -> adult olfactory antennal lobe glomerulus -> adult antennal lobe -> adult deutocerebrum -> adult cerebrum -> adult central brain -> adult brain, as indicated by the VFB database. \n\nVFB holds various records related to the antennal lobe glomerulus DA1, including neurons with some part in it, neurons with synaptic terminals in it, parts of it, and more, which can be queried for specific counts. \n\nTo further explore the hierarchy and relationships, you can query VFB for the specific counts of records it holds, such as the number of neurons with some part in the antennal lobe glomerulus DA1 or the number of parts of the antennal lobe glomerulus DA1.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 902, + "status_count": 5 + } + }, + { + "attempt_index": 22, + "task_index": 22, + "task_id": "T3.7", + "tier": 3, + "title": "Cross-region connectivity", + "question": "What neuron types connect the central complex to the lateral accessory lobe, and how strong are these connections?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 19492, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, + { + "message": "Checking the literature", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 316, + "request_id": "05ef0390-196f-428f-a5ec-f27da93b71b9", + "response_id": "chatcmpl-6bf82bd3b8b2b5455a769024bdfd467f", + "images_count": 8, + "graphs_count": 0, + "response": "To determine the neuron types that connect the [adult central complex](https://www.virtualflybrain.org/reports/FBbt_00003632 \"Open adult central complex in Virtual Fly Brain\") to the [lateral accessory lobe on L3 CNS template, Wood2018](https://www.virtualflybrain.org/reports/VFB_00050314 \"Open lateral accessory lobe on L3 CNS template, Wood2018 in Virtual Fly Brain\"), and the strength of these connections, we can look at the available data in VFB. \n\nVFB holds records of neurons with some part in the adult central complex ([363](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00003632,NeuronsPartHere \"Run in VFB: Neurons with some part in adult central complex\") records) and neurons with some part in the embryonic/larval lateral accessory lobe (available - run the query for the count). It also holds records of neurons with synaptic terminals, presynaptic terminals, and postsynaptic terminals in both the adult central complex and the embryonic/larval lateral accessory lobe. \n\nHowever, the specific connections between the adult central complex and the lateral accessory lobe on L3 CNS template, Wood2018, and their strengths, are not directly stated in the available data. \n\nTo find the relevant neuron types and connection strengths, it would be necessary to query the specific neurons that have synaptic terminals in both the adult central complex and the lateral accessory lobe on L3 CNS template, Wood2018, and examine their connection data. \n\nThe connectome data may indicate specific neuron types that connect these two brain regions, but without running the specific query, the exact types and strengths of these connections are not available in the provided information. \n\nFollow-up queries could include listing neurons with some part in both the adult central complex and the embryonic/larval lateral accessory lobe, or examining the tracts/nerves innervating both regions to determine the connections between them.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1960, + "status_count": 7 + } + }, + { + "attempt_index": 23, + "task_index": 23, + "task_id": "T3.8", + "tier": 3, + "title": "Dataset coverage", + "question": "For the DNa02 descending neuron type, what data is available in VFB? Is it in the Hemibrain, FAFB, or both? Are there light microscopy images and driver lines?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 19141, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Reading VFB term info", + "phase": "mcp" + }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, + { + "message": "Finding genetic tools", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 172, + "request_id": "0927eeb2-91f6-4975-b8b2-2282ae708089", + "response_id": "chatcmpl-12762574b6ca7ca1eba12adb07ac4c21", + "images_count": 8, + "graphs_count": 0, + "response": "For the [descending neuron of the anterior dorsal brain DNa02](https://www.virtualflybrain.org/reports/FBbt_00047573 \"Open descending neuron of the anterior dorsal brain DNa02 in Virtual Fly Brain\"), VFB holds various data. This includes [18](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,ListAllAvailableImages \"Run in VFB: List all available images of DNa02\") available images, [2](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,SplitsTargeting \"Run in VFB: Splits targeting DNa02\") splits targeting DNa02, 2 records of transgene expression in DNa02, [636](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for DNa02\") downstream connectivity classes, and [779](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047573,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for DNa02\") upstream connectivity classes. The connectome data indicates that DNa02 is present in both Hemibrain and FAFB datasets. VFB records show that there are genetic tools available for labeling DNa02 descending neuron, with 2 genetic tool/expression pattern rows returned for this neuron type. Additionally, VFB data includes light microscopy images and driver lines for DNa02. To explore this data further, you can query VFB for more information on the available images, splits, transgene expression, and connectivity classes for DNa02.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1519, + "status_count": 7 + } + }, + { + "attempt_index": 24, + "task_index": 24, + "task_id": "T4.1", + "tier": 4, + "title": "Experimental planning", + "question": "I want to study the neural circuit underlying CO2 avoidance in Drosophila. What neurons are involved, how are they connected, and what genetic tools can I use to access them?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 17823, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + 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+ "response": "To study the neural circuit underlying CO2 avoidance in Drosophila, you would need to identify the specific neurons involved in this behavior. VFB does not currently hold data on the exact neurons involved in CO2 avoidance. \n\nThe connectome data may indicate which neurons are connected and could be involved in this behavior, but without specific data on CO2 avoidance, it is unclear which neurons to focus on. \n\nVFB holds various records on Drosophila neurons and their connections, but it does not currently hold data on the neural circuit specifically underlying CO2 avoidance. You may need to consult the literature or other databases for more information on this topic. \n\nGenetic tools such as GAL4 drivers and split-GAL4 systems can be used to access specific neurons, but without knowing which neurons are involved in CO2 avoidance, it is unclear which drivers to use. VFB has annotated numerous GAL4 drivers, but it does not currently hold data on their specific use in studying CO2 avoidance. \n\nYou can query VFB for neurons and their connections, as well as for genetic tools, to find potentially relevant information. However, to determine the specific neurons and genetic tools involved in CO2 avoidance, you may need to consult additional sources or conduct further research.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1289, + "status_count": 85 + } + }, + { + "attempt_index": 25, + "task_index": 25, + "task_id": "T4.2", + "tier": 4, + "title": "Complete neuron profile", + "question": "Give me a comprehensive profile of the giant fiber neuron: its anatomy, connectivity, available driver lines, and relevant publications.", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 44616, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Querying VFB", + "phase": "mcp" + }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, + { + "message": "Checking the literature", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 407, + "request_id": "054ccc0b-dade-45db-acdd-cdc8d9790e42", + "response_id": "chatcmpl-bbab6abb4fecd657e47b086c480b34c2", + "images_count": 8, + "graphs_count": 1, + "response": "The [giant fiber neuron](https://www.virtualflybrain.org/reports/FBbt_00004020 \"Open giant fiber neuron in Virtual Fly Brain\") is a large adult descending neuron that controls jump escape behavior, with a unique anatomy and connectivity profile. According to VFB, it has a large cell body located posterior to the lower protocerebrum, and its large descending axon is several times larger than any other axon in the cervical connective. The giant fiber neuron enters the cervical connective via the posterior cerebro-cervical fascicle and descends on the ipsilateral side, in the dorsal cervical fasciculus. In the brain, it has dendritic arborization in the ipsilateral zones A and B of the antennal mechanosensory and motor center, where it receives substantial input from zone A and B Johnston organ neurons.\n\nVFB records show that there are several driver lines available for the giant fiber neuron, including [P{R48A11-GAL4.DBD} ∩ P{R30C01-p65.AD} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0121835FBtp0118557 \"Open P{R48A11-GAL4.DBD} ∩ P{R30C01-p65.AD} expression pattern in Virtual Fly Brain\"), [P{R68A06-GAL4.DBD} ∩ P{R25C08-p65.AD} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0116198FBtp0118471 \"Open P{R68A06-GAL4.DBD} ∩ P{R25C08-p65.AD} expression pattern in Virtual Fly Brain\"), and [P{GMR91H05-GAL4} expression pattern](https://www.virtualflybrain.org/reports/VFBexp_FBtp0064022 \"Open P{GMR91H05-GAL4} expression pattern in Virtual Fly Brain\"). \n\nThe connectivity of the giant fiber neuron is characterized by downstream connectivity classes ([389](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,DownstreamClassConnectivity \"Run in VFB: Downstream connectivity classes for DNp01\") records in VFB) and upstream connectivity classes ([472](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,UpstreamClassConnectivity \"Run in VFB: Upstream connectivity classes for DNp01\") records in VFB). \n\nRelevant publications for the giant fiber neuron include Thomas and Wyman (1984), Koto et al. (1981), and Namiki et al. (2018), as well as other studies such as Power (1948), Ito et al. (2014), Kamikouchi et al. (2009), Matsuo et al. (2016), and Kim et al. (2020). \n\nVFB holds a range of data on the giant fiber neuron, including [23](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,ListAllAvailableImages \"Run in VFB: List all available images of DNp01\") images of DNp01, [5](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,SplitsTargeting \"Run in VFB: Splits targeting DNp01\") splits targeting DNp01, [14](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00004020,TransgeneExpressionHere \"Run in VFB: Transgene expression in DNp01\") records of transgene expression in DNp01, and connectivity data.", + "graphs": [ + { + "type": "basic_graph", + "version": 1, + "title": "Downstream partners of DNp01", + "directed": true, + "layout": "circle", + "nodes": [ + { + "id": "FBbt_00004020", + "label": "DNp01", + "group": null, + "color": null, + "size": 4 + }, + { + "id": "FBbt_00047095", + "label": "adult neuron", + "group": null, + "color": null, + "size": 1.42 + }, + { + "id": "FBbt_00005106", + "label": "neuron", + "group": null, + "color": null, + "size": 1.42 + }, + { + "id": "FBbt_00059271", + "label": "CNS neuron", + "group": null, + "color": null, + "size": 1.42 + }, + { + "id": "FBbt_00059289", + "label": "adult VNC neuron", + "group": null, + "color": null, + "size": 1.28 + }, + { + "id": "FBbt_00001983", + "label": "thoracic neuron", + "group": null, + "color": null, + "size": 1.28 + }, + { + "id": "FBbt_00047096", + "label": "secondary neuron", + "group": null, + "color": null, + "size": 1.18 + }, + { + "id": "FBbt_00049540", + "label": "Notch OFF hemilineage neuron", + "group": null, + "color": null, + "size": 1.17 + }, + { + "id": "FBbt_00001985", + "label": "mesothoracic neuron", + "group": null, + "color": null, + "size": 1.17 + }, + { + "id": "FBbt_00047097", + "label": "primary neuron", + "group": null, + "color": null, + "size": 1.12 + }, + { + "id": "FBbt_00049542", + "label": "Notch OFF hemilineage secondary neuron", + "group": null, + "color": null, + "size": 1.12 + }, + { + "id": "FBbt_00001984", + "label": "prothoracic neuron", + "group": null, + "color": null, + "size": 1.11 + }, + { + "id": "FBbt_00049539", + "label": "Notch ON hemilineage neuron", + "group": null, + "color": null, + "size": 1.11 + }, + { + "id": "FBbt_00048927", + "label": "NB2-4 lineage neuron", + "group": null, + "color": null, + "size": 1.07 + }, + { + "id": "FBbt_00049541", + "label": "Notch ON hemilineage secondary neuron", + "group": null, + "color": null, + "size": 1.07 + }, + { + "id": "FBbt_00053396", + "label": "input/output neuron", + "group": null, + "color": null, + "size": 1.07 + } + ], + "edges": [ + { + "source": "FBbt_00004020", + "target": "FBbt_00047095", + "label": "4235", + "weight": 4235 + }, + { + "source": "FBbt_00004020", + "target": "FBbt_00005106", + "label": "4235", + "weight": 4235 + }, + { + "source": "FBbt_00004020", + "target": "FBbt_00059271", + "label": "4193", + "weight": 4193 + }, + { + "source": "FBbt_00004020", + "target": "FBbt_00059289", + "label": "2779", + "weight": 2779 + }, + { + "source": "FBbt_00004020", + "target": "FBbt_00001983", + "label": "2758", + "weight": 2758 + }, + { + "source": "FBbt_00004020", + "target": "FBbt_00047096", + "label": "1826", + "weight": 1826 + }, + { + "source": "FBbt_00004020", + "target": "FBbt_00049540", + "label": "1706", + "weight": 1706 + }, + { + "source": "FBbt_00004020", + "target": "FBbt_00001985", + "label": "1651", + "weight": 1651 + }, + { + "source": "FBbt_00004020", + "target": "FBbt_00047097", + "label": "1197", + "weight": 1197 + }, + { + "source": "FBbt_00004020", + "target": "FBbt_00049542", + "label": "1152", + "weight": 1152 + }, + { + "source": "FBbt_00004020", + "target": "FBbt_00001984", + "label": "1098", + "weight": 1098 + }, + { + "source": "FBbt_00004020", + "target": "FBbt_00049539", + "label": "1075", + "weight": 1075 + }, + { + "source": "FBbt_00004020", + "target": "FBbt_00048927", + "label": "707", + "weight": 707 + }, + { + "source": "FBbt_00004020", + "target": "FBbt_00049541", + "label": "674", + "weight": 674 + }, + { + "source": "FBbt_00004020", + "target": "FBbt_00053396", + "label": "662", + "weight": 662 + } + ] + } + ], + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 2894, + "status_count": 7 + } + }, + { + "attempt_index": 26, + "task_index": 26, + "task_id": "T4.3", + "tier": 4, + "title": "Hypothesis generation", + "question": "Based on connectivity data, what neuron types might mediate a connection between the visual system and the mushroom body? Could visual information reach the memory circuit?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 15617, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Tracing the pathway", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 207, + "request_id": "0349a2e4-533f-4bef-b808-b07c1b1bc460", + "response_id": "chatcmpl-9fac54111f7930b9362d8e4b2758446b", + "images_count": 8, + "graphs_count": 0, + "response": "The connectivity data indicates that neuron types that might mediate a connection between the [visual system](https://www.virtualflybrain.org/reports/FBbt_00047735 \"Open visual system in Virtual Fly Brain\") and the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") include those with presynaptic terminals in the mushroom body, such as larval antennal lobe multiglomerular projection neurons and larval uniglomerular projection neurons. VFB records show that adult visual projection neurons mediate the connection between the visual system and the mushroom body, with these neurons having presynaptic terminals in the mushroom body. \n\nVFB holds [366](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPresynapticHere \"Run in VFB: Neurons with presynaptic terminals in mushroom body\") records of neurons with presynaptic terminals in the mushroom body, and [1046](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsPartHere \"Run in VFB: Neurons with some part in visual system\") records of neurons with some part in the visual system. The connectome data suggests that visual information could reach the memory circuit via these neuron types. \n\nTo further investigate the connection between the visual system and the mushroom body, you can explore the available VFB data, such as the [602](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,NeuronsPartHere \"Run in VFB: Neurons with some part in mushroom body\") records of neurons with some part in the mushroom body, or the [982](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00047735,NeuronsSynaptic \"Run in VFB: Neurons with synaptic terminals in visual system\") records of neurons with synaptic terminals in the visual system.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1861, + "status_count": 5 + } + }, + { + "attempt_index": 27, + "task_index": 27, + "task_id": "T4.4", + "tier": 4, + "title": "Comparative analysis", + "question": "Compare the downstream targets of the two main types of clock neurons (s-LNv and l-LNv). Do they converge on any common target neuron types?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 15451, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, + { + "message": "Checking the literature", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 240, + "request_id": "3990f0a6-c2bf-402d-a5b4-e4391a330270", + "response_id": "chatcmpl-f2ac64d2b213e90cffe6a10a2539cff4", + "images_count": 2, + "graphs_count": 1, + "response": "To compare the downstream targets of the two main types of clock neurons, [s-LNv](https://www.virtualflybrain.org/reports/VFB_jrch04kn \"Open s-LNv in Virtual Fly Brain\") and [l-LNv](https://www.virtualflybrain.org/reports/VFB_jrch0frv \"Open l-LNv in Virtual Fly Brain\"), and determine if they converge on any common target neuron types, we would need specific information on their connectivity. However, VFB does not currently hold data on the downstream targets of s-LNv and l-LNv neurons that would allow us to make a direct comparison or identify common target neuron types. \n\nFor a detailed analysis, one would typically consult the connectome data or specific studies focusing on the neural circuits involving s-LNv and l-LNv neurons. The literature may provide insights into the downstream targets of these neurons and any potential overlap, but without specific citations or data, we cannot accurately describe their connectivity or commonalities in target neurons. \n\nVFB holds various data on Drosophila neuroscience, including neuron types and their connections, but without annotated data on the specific downstream targets of s-LNv and l-LNv neurons, we cannot conclude whether they converge on common target neuron types. Further queries into VFB's database or consulting specific research publications would be necessary to find detailed information on this topic.", + "graphs": [ + { + "type": "basic_graph", + "version": 1, + "title": "Downstream targets by source class", + "directed": true, + "layout": "circle", + "nodes": [ + { + "id": "FBbt_00003763", + "label": "l-LNv", + "group": null, + "color": null, + "size": 4 + }, + { + "id": "FBbt_00005106", + "label": "neuron", + "group": null, + "color": null, + "size": 1.17 + }, + { + "id": "FBbt_00047095", + "label": "adult neuron", + "group": null, + "color": null, + "size": 1.17 + }, + { + "id": "FBbt_00059271", + "label": "CNS neuron", + "group": null, + "color": null, + "size": 1.17 + }, + { + "id": "FBbt_00059274", + "label": "adult CNS neuron", + "group": null, + "color": null, + "size": 1.17 + }, + { + "id": "FBbt_00007693", + "label": "sensory system neuron", + "group": null, + "color": null, + "size": 1.17 + }, + { + "id": "FBbt_00047736", + "label": "visual system neuron", + "group": null, + "color": null, + "size": 1.17 + }, + { + "id": "FBbt_00005125", + "label": "interneuron", + "group": null, + "color": null, + "size": 1.16 + }, + { + "id": "FBbt_00052046", + "label": "adult interneuron", + "group": null, + "color": null, + "size": 1.16 + }, + { + "id": "FBbt_00001366", + "label": "supraesophageal ganglion neuron", + "group": null, + "color": null, + "size": 1.16 + }, + { + "id": "FBbt_00003702", + "label": "adult optic lobe neuron", + "group": null, + "color": null, + "size": 1.15 + }, + { + "id": "FBbt_00059247", + "label": "adult visual neuropil intrinsic neuron", + "group": null, + "color": null, + "size": 1.15 + }, + { + "id": "FBbt_00007577", + "label": "adult optic lobe intrinsic neuron", + "group": null, + "color": null, + "size": 1.15 + }, + { + "id": "FBbt_00007173", + "label": "cholinergic neuron", + "group": null, + "color": null, + "size": 1.14 + }, + { + "id": "FBbt_00058205", + "label": "adult cholinergic neuron", + "group": null, + "color": null, + "size": 1.14 + }, + { + "id": "FBbt_00005129", + "label": "adult optic lobe columnar neuron", + "group": null, + "color": null, + "size": 1.14 + }, + { + "id": "FBbt_00007578", + "label": "optic lobe intrinsic columnar neuron", + "group": null, + "color": null, + "size": 1.14 + }, + { + "id": "FBbt_00047096", + "label": "secondary neuron", + "group": null, + "color": null, + "size": 1.13 + }, + { + "id": "FBbt_00110136", + "label": "optic lobe narrow field columnar neuron", + "group": null, + "color": null, + "size": 1.13 + }, + { + "id": "FBbt_00049539", + "label": "Notch ON hemilineage neuron", + "group": null, + "color": null, + "size": 1.13 + }, + { + "id": "FBbt_00049541", + "label": "Notch ON hemilineage secondary neuron", + "group": null, + "color": null, + "size": 1.13 + } + ], + "edges": [ + { + "source": "FBbt_00003763", + "target": "FBbt_00005106", + "label": "6184", + "weight": 6184 + }, + { + "source": 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true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1377, + "status_count": 6 + } + }, + { + "attempt_index": 28, + "task_index": 28, + "task_id": "T4.5", + "tier": 4, + "title": "Novel circuit exploration", + "question": "What is the connectivity between thermosensory neurons and the mushroom body? Could temperature information influence memory formation?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 16287, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Tracing the pathway", + "phase": "mcp" + }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 227, + "request_id": "52d268fe-d8d9-43c8-a3ef-14fcebd4428a", + "response_id": "chatcmpl-95f832457ccb236f07f79dfcc6d11cf1", + "images_count": 8, + "graphs_count": 1, + "response": "The connectivity between thermosensory neurons and the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") is supported by VFB evidence, which suggests a plausible thermosensory influence on mushroom-body memory circuitry through thermosensory projection neurons. According to VFB, downstream class-connectivity previews for adult thermosensory projection neurons include mushroom-body-associated dopaminergic neurons and gamma main Kenyon cells when available. \n\nVFB holds various records related to thermosensory neurons, including available images, splits targeting them, subclasses, transgene expression, and both downstream and upstream connectivity classes. For the mushroom body, VFB has annotated numerous records, including images, neurons with parts or terminals in the mushroom body, parts of the mushroom body, subclasses, tracts/nerves innervating it, lineage clones found in it, and images of neurons with some part in the mushroom body.\n\nTo further explore the relationship between thermosensory neurons and the mushroom body, you can query VFB for specific data, such as the downstream connectivity classes for thermosensory neurons or neurons with synaptic terminals in the mushroom body.", + "graphs": [ + { + "type": "basic_graph", + "version": 1, + "title": "Downstream partners of thermosensory neuron", + "directed": true, + "layout": "circle", + "nodes": [ + { + "id": "FBbt_00005918", + "label": "thermosensory neuron", + "group": null, + "color": null, + "size": 4 + }, + { + "id": "FBbt_00005106", + "label": "neuron", + "group": null, + "color": null, + "size": 1.35 + }, + { + "id": "FBbt_00047095", + "label": "adult neuron", + "group": null, + "color": null, + "size": 1.34 + }, + { + "id": "FBbt_00059271", + "label": "CNS neuron", + "group": null, + "color": null, + "size": 1.34 + }, + { + "id": "FBbt_00053396", + "label": "input/output neuron", + "group": null, + "color": null, + "size": 1.19 + }, + { + "id": "FBbt_00007392", + "label": "projection neuron", + "group": null, + "color": null, + "size": 1.19 + }, + { + "id": "FBbt_00100660", + "label": "BAlc lineage neuron", + "group": null, + "color": null, + "size": 1.19 + }, + { + "id": "FBbt_00007422", + "label": "antennal lobe projection neuron", + "group": null, + "color": null, + "size": 1.19 + }, + { + "id": "FBbt_00050025", + "label": "adult ALl1 lineage neuron", + "group": null, + "color": null, + "size": 1.19 + }, + { + "id": "FBbt_00067123", + "label": "adult antennal lobe projection neuron", + "group": null, + "color": null, + "size": 1.19 + }, + { + "id": "FBbt_00049911", + "label": "BAlc Notch OFF hemilineage neuron", + "group": null, + "color": null, + "size": 1.15 + }, + { + "id": "FBbt_00049540", + "label": "Notch OFF hemilineage neuron", + "group": null, + "color": null, + "size": 1.15 + }, + { + "id": "FBbt_00049539", + "label": "Notch ON hemilineage neuron", + "group": null, + "color": null, + "size": 1.14 + }, + { + "id": "FBbt_00049912", + "label": "BAlc Notch ON hemilineage neuron", + "group": null, + "color": null, + "size": 1.14 + }, + { + "id": "FBbt_00051493", + "label": "local neuron", + "group": null, + "color": null, + "size": 1.14 + }, + { + "id": "FBbt_00052874", + "label": "antennal lobe local neuron", + "group": null, + "color": null, + "size": 1.14 + } + ], + "edges": [ + { + "source": "FBbt_00005918", + "target": "FBbt_00005106", + "label": "78601", + "weight": 78601 + }, + { + "source": "FBbt_00005918", + "target": "FBbt_00047095", + "label": "77005", + "weight": 77005 + }, + { + "source": "FBbt_00005918", + "target": "FBbt_00059271", + "label": "75663", + "weight": 75663 + }, + { + "source": "FBbt_00005918", + "target": "FBbt_00053396", + "label": "43055", + "weight": 43055 + }, + { + "source": "FBbt_00005918", + "target": "FBbt_00007392", + "label": "42907", + "weight": 42907 + }, + { + "source": "FBbt_00005918", + "target": "FBbt_00100660", + "label": "42011", + "weight": 42011 + }, + { + "source": "FBbt_00005918", + "target": "FBbt_00007422", + "label": "41794", + "weight": 41794 + }, + { + "source": "FBbt_00005918", + "target": "FBbt_00050025", + "label": "41722", + "weight": 41722 + }, + { + "source": "FBbt_00005918", + "target": "FBbt_00067123", + "label": "41646", + "weight": 41646 + }, + { + "source": "FBbt_00005918", + "target": "FBbt_00049911", + "label": "32974", + "weight": 32974 + }, + { + "source": "FBbt_00005918", + "target": "FBbt_00049540", + "label": "32974", + "weight": 32974 + }, + { + "source": "FBbt_00005918", + "target": "FBbt_00049539", + "label": "30896", + "weight": 30896 + }, + { + "source": "FBbt_00005918", + "target": "FBbt_00049912", + "label": "30886", + "weight": 30886 + }, + { + "source": "FBbt_00005918", + "target": "FBbt_00051493", + "label": "30596", + "weight": 30596 + }, + { + "source": "FBbt_00005918", + "target": "FBbt_00052874", + "label": "30596", + "weight": 30596 + } + ] + } + ], + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1266, + "status_count": 6 + } + }, + { + "attempt_index": 29, + "task_index": 29, + "task_id": "T4.6", + "tier": 4, + "title": "Data availability survey", + "question": "I'm interested in studying the subesophageal zone (SEZ). How well-characterised is this region in VFB? What neuron types are annotated, what connectomics data is available, and what genetic tools exist for SEZ neurons?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 21201, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Reading VFB term info", + "phase": "mcp" + }, + { + "message": "Finding genetic tools", + "phase": "mcp" + }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 267, + "request_id": "6f398a59-345b-4b46-8803-37391d7454fc", + "response_id": "chatcmpl-c32ab784c7e3e7f9f28ddde4a672be0c", + "images_count": 1, + "graphs_count": 1, + "response": "The [subesophageal zone](https://www.virtualflybrain.org/reports/FBbt_00051068 \"Open subesophageal zone in Virtual Fly Brain\") is a well-characterised region in VFB, with available data on images, neurons, parts, subclasses, and transgene expression. VFB holds various records for the subesophageal zone, including a list of available images, neurons with some part in the subesophageal zone, parts of the subesophageal zone, subclasses of the subesophageal zone, and transgene expression in the subesophageal zone. \n\nFor neuron types, VFB has annotated neurons with some part in the subesophageal zone. The connectome data indicates that there are upstream class-connectivity partners for larval subesophageal zone vine neuron, with VFB finding 95 such partners. \n\nGenetic tools for SEZ neurons are available, including GAL4 drivers and binary/intersectional drivers, with VFB returning 4205 genetic tool/expression pattern rows for the subesophageal zone. \n\nTo explore the subesophageal zone further, you can query VFB for the count of available images, neurons, parts, subclasses, and transgene expression. Additionally, you can use VFB to find connectivity partners for specific neuron types within the subesophageal zone and to identify genetic tools for manipulating SEZ neurons.", + "graphs": [ + { + "type": "basic_graph", + "version": 1, + "title": "Upstream partners of larval subesophageal zone vine neuron", + "directed": true, + "layout": "circle", + "nodes": [ + { + "id": "FBbt_00001446", + "label": "larval neuron", + "group": null, + "color": null, + "size": 1.34 + }, + { + "id": "FBbt_00111723", + "label": "larval subesophageal zone vine neuron", + "group": null, + "color": null, + "size": 4 + }, + { + "id": "FBbt_00005106", + "label": "neuron", + "group": null, + "color": null, + "size": 1.34 + }, + { + "id": "FBbt_00007693", + "label": "sensory system neuron", + "group": null, + "color": null, + "size": 1.27 + }, + { + "id": "FBbt_00007696", + "label": "chemosensory system neuron", + "group": null, + "color": null, + "size": 1.27 + }, + { + "id": "FBbt_00059275", + "label": "larval PNS neuron", + "group": null, + "color": null, + "size": 1.2 + }, + { + "id": "FBbt_00005124", + "label": "sensory neuron", + "group": null, + "color": null, + "size": 1.2 + }, + { + "id": "FBbt_00059272", + "label": "PNS neuron", + "group": null, + "color": null, + "size": 1.2 + }, + { + "id": "FBbt_00058245", + "label": "embryonic/larval sensory neuron", + "group": null, + "color": null, + "size": 1.2 + }, + { + "id": "FBbt_00052560", + "label": "external sense organ sensory neuron", + "group": null, + "color": null, + "size": 1.19 + }, + { + "id": "FBbt_00052615", + "label": "larval external sense organ sensory neuron", + "group": null, + "color": null, + "size": 1.19 + }, + { + "id": "FBbt_00007697", + "label": "olfactory system neuron", + "group": null, + "color": null, + "size": 1.16 + }, + { + "id": "FBbt_00007695", + "label": "gustatory system neuron", + "group": null, + "color": null, + "size": 1.11 + }, + { + "id": "FBbt_00005922", + "label": "chemosensory neuron", + "group": null, + "color": null, + "size": 1.11 + }, + { + "id": "FBbt_00048505", + "label": "larval maxillary-labial nerve sensory neuron", + "group": null, + "color": null, + "size": 1.1 + }, + { + "id": "FBbt_00059271", + "label": "CNS neuron", + "group": null, + "color": null, + "size": 1.1 + } + ], + "edges": [ + { + "source": "FBbt_00001446", + "target": "FBbt_00111723", + "label": "514", + "weight": 514 + }, + { + "source": "FBbt_00005106", + "target": "FBbt_00111723", + "label": "514", + "weight": 514 + }, + { + "source": "FBbt_00007693", + "target": "FBbt_00111723", + "label": "418", + "weight": 418 + }, + { + "source": "FBbt_00007696", + "target": "FBbt_00111723", + "label": "418", + "weight": 418 + }, + { + "source": "FBbt_00059275", + "target": "FBbt_00111723", + "label": "312", + "weight": 312 + }, + { + "source": "FBbt_00005124", + "target": "FBbt_00111723", + "label": "312", + "weight": 312 + }, + { + "source": "FBbt_00059272", + "target": "FBbt_00111723", + "label": "312", + "weight": 312 + }, + { + "source": "FBbt_00058245", + "target": "FBbt_00111723", + "label": "312", + "weight": 312 + }, + { + "source": "FBbt_00052560", + "target": "FBbt_00111723", + "label": "293", + "weight": 293 + }, + { + "source": "FBbt_00052615", + "target": "FBbt_00111723", + "label": "293", + "weight": 293 + }, + { + "source": "FBbt_00007697", + "target": "FBbt_00111723", + "label": "251", + "weight": 251 + }, + { + "source": "FBbt_00007695", + "target": "FBbt_00111723", + "label": "167", + "weight": 167 + }, + { + "source": "FBbt_00005922", + "target": "FBbt_00111723", + "label": "164", + "weight": 164 + }, + { + "source": "FBbt_00048505", + "target": "FBbt_00111723", + "label": "154", + "weight": 154 + }, + { + "source": "FBbt_00059271", + "target": "FBbt_00111723", + "label": "147", + "weight": 147 + } + ] + } + ], + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1285, + "status_count": 7 + } + }, + { + "attempt_index": 30, + "task_index": 30, + "task_id": "G1", + "tier": 5, + "title": "Graph view regression - medulla region connectivity", + "question": "what are the class summarised connectivity from the medulla in graph form", + "requires_graph": true, + "min_graphs": 1, + "repetition": 1, + "ok": false, + "duration_ms": 13595, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Reading VFB term info", + "phase": "mcp" + }, + { + "message": "Querying VFB", + "phase": "mcp" + }, + { + "message": "Checking the literature", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 273, + "request_id": "c20a7542-f166-4aeb-87c1-65f2fa5fb540", + "response_id": "chatcmpl-7e4a07ad8838900fbfda1bd5d9bfa2a4", + "images_count": 4, + "graphs_count": 0, + "response": "To describe the class summarised connectivity from the [medulla](https://www.virtualflybrain.org/reports/FBbt_00003748 \"Open medulla in Virtual Fly Brain\"), we can look at the types of neurons and their synaptic connections within this region. VFB holds data on Neurons with some part in medulla, Neurons with synaptic terminals in medulla, Neurons with presynaptic terminals in medulla, and Neurons with postsynaptic terminals in medulla. \n\nThe connectome data indicates that neurons with presynaptic terminals in medulla are connected to neurons with postsynaptic terminals in medulla, suggesting a network of synaptic connections within the medulla. VFB records show that there are also tracts/nerves innervating medulla, which may carry signals to or from the medulla. \n\nVFB has annotated a number of neurons with some part in medulla, and a number of images of neurons with some part in medulla are available. The specific patterns of connectivity can be explored further by examining the available data on neurons with synaptic terminals, presynaptic terminals, and postsynaptic terminals in medulla. \n\nTo further investigate the class summarised connectivity from the medulla, you can run queries on the available VFB data, such as listing all available images of medulla, or exploring the parts of medulla, subclasses of medulla, and lineage clones found in medulla.", + "error": "Expected at least 1 graph(s), received 0.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": true, + "used_data_resource": false, + "response_chars": 1374, + "status_count": 7 + } + }, + { + "attempt_index": 31, + "task_index": 31, + "task_id": "D1", + "tier": 6, + "title": "Project identity", + "question": "What is Virtual Fly Brain and who is it for?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 7867, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning (direct lookup)", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Reading VFB term info", + "phase": "mcp" + }, + { + "message": "Checking the literature", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 160, + "request_id": "90b2df7e-7bb2-4005-b679-4dfdba440630", + "response_id": "chatcmpl-349f087ce2281e14310c97cb5f501eb5", + "images_count": 0, + "graphs_count": 0, + "response": "Virtual Fly Brain is a database and online resource for Drosophila neuroscience. The information available suggests it is designed to provide access to various types of data related to the genetics and neuroscience of Drosophila, such as gene expression, neuronal clusters, and fly stocks. For the term \"[fkh](https://www.virtualflybrain.org/reports/FBgn0000659 \"Open fkh in Virtual Fly Brain\")\", VFB holds data on parts of fkh, subclasses of fkh, clusters expressing fkh, and fly stocks for fkh, which can be accessed by running specific queries. However, without further information or specific queries, the exact nature and scope of Virtual Fly Brain's content and user base cannot be determined. 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According to the documentation, its similarity score is calculated by finding the closest tangent vector in the target neuron for each tangent vector in the query neuron, with the final score being the sum over all query-target vector pairs, typically normalized to a self-self comparison with a perfect match being 1. This information is based on the documentation available at https://www.virtualflybrain.org/docs/past-workshops/connectome/5_nblast, which references Costa et al., 2016. VFB does not currently hold additional information on the interpretation of NBLAST similarity scores beyond this documentation.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 708, + "status_count": 43 + } + }, + { + "attempt_index": 39, + "task_index": 39, + "task_id": "D9", + "tier": 6, + "title": "Concepts: confidence values", + "question": "What do confidence values mean on Virtual Fly Brain?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 8698, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Reading VFB term info", + "phase": "mcp" + }, + { + "message": "Checking the literature", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 173, + "request_id": "7b874393-c5e8-45a0-8556-150e2ce68431", + "response_id": "chatcmpl-2ae8970b5fe7696bf09875e96c188ed5", + "images_count": 1, + "graphs_count": 0, + "response": "The Virtual Fly Brain documentation does not explicitly state what confidence values mean in the provided evidence. However, in general, confidence values in the context of neuroscience and connectomics often refer to a measure of the reliability or accuracy of a particular piece of data, such as the strength of a connection between neurons. \n\nFor [MB2ON-209 (L1EM:6572414)](https://www.virtualflybrain.org/reports/VFB_00102eof \"Open MB2ON-209 (L1EM:6572414) in Virtual Fly Brain\"), VFB holds data on Neurons with similar morphology to MB2ON-209 (L1EM:6572414) [NBLAST] and Neurons connected to MB2ON-209 (L1EM:6572414), which can be queried for counts. \n\nTo understand what confidence values represent on Virtual Fly Brain, further information from the Virtual Fly Brain documentation or specific publications related to the Virtual Fly Brain project would be necessary.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 873, + "status_count": 6 + } + }, + { + "attempt_index": 40, + "task_index": 40, + "task_id": "D10", + "tier": 6, + "title": "Concepts: bridging registrations", + "question": "What are bridging registrations between brain templates in VFB?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 15303, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Reading VFB term info", + "phase": "mcp" + }, + { + "message": "Checking the literature", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 104, + "request_id": "f9762c80-7523-49da-a487-997434055012", + "response_id": "chatcmpl-71fa224d3e34cd2b7742ced72c9f31a1", + "images_count": 8, + "graphs_count": 0, + "response": "Bridging registrations between brain templates in VFB are not defined in the provided evidence. VFB does not currently hold specific information on bridging registrations between brain templates. However, VFB holds various data related to the [neurosecretory cell of brain](https://www.virtualflybrain.org/reports/FBbt_00052760 \"Open neurosecretory cell of brain in Virtual Fly Brain\"), including available images, splits targeting it, subclasses, scRNAseq data, transgene expression, downstream connectivity classes, and upstream connectivity classes. The user can query VFB for the counts of these records to explore the available data.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 638, + "status_count": 6 + } + }, + { + "attempt_index": 41, + "task_index": 41, + "task_id": "D11", + "tier": 6, + "title": "Data coverage & templates", + "question": "What imaging data types and brain templates does Virtual Fly Brain hold?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 13050, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Reading VFB term info", + "phase": "mcp" + }, + { + "message": "Checking the literature", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 92, + "request_id": "5dffd84a-5598-42d1-9cb3-df280eb71232", + "response_id": "chatcmpl-bb6c7bf2b978991c34a916a889458557", + "images_count": 0, + "graphs_count": 0, + "response": "Virtual Fly Brain holds various imaging data types and brain templates. The specific types of imaging data and brain templates available can be explored through the Virtual Fly Brain interface. VFB does not currently hold a comprehensive list of all its imaging data types and brain templates in the provided evidence. To find out more about the imaging data types and brain templates held by Virtual Fly Brain, it is recommended to query the Virtual Fly Brain database directly.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 479, + "status_count": 6 + } + }, + { + "attempt_index": 42, + "task_index": 42, + "task_id": "D12", + "tier": 6, + "title": "Release changelog", + "question": "What was included in the latest Virtual Fly Brain release?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 6270, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + } + ], + "event_count": 3, + "request_id": "89924f6c-35c1-4998-a7ea-9b1622aee723", + "response_id": "local-89924f6c-35c1-4998-a7ea-9b1622aee723", + "images_count": 0, + "graphs_count": 0, + "response": "What specific aspect of the latest Virtual Fly Brain release are you interested in?", + "quality_flags": { + "has_tool_status": false, + "no_tool_factual_answer": true, + "tool_claim_without_tool": true, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 83, + "status_count": 2 + } + }, + { + "attempt_index": 43, + "task_index": 43, + "task_id": "D13", + "tier": 6, + "title": "API: VFB-connect (Python)", + "question": "How do I install and get started with VFB-connect in Python?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 13786, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Reading VFB documentation", + "phase": "mcp" + }, + { + "message": "Checking the literature", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 198, + "request_id": "1ac610cf-faeb-4fe7-a1e9-e919392c653d", + "response_id": "chatcmpl-43e57224f1fb2a3dcfffa7a5bd22a5f3", + "images_count": 0, + "graphs_count": 0, + "response": "To install and get started with VFB-connect in Python, I would recommend checking the official VFB-connect documentation for the most up-to-date instructions. However, I can provide general guidance on how to get started with Python packages. \n\nTypically, Python packages are installed using pip, the Python package installer. If VFB-connect is available on PyPI, the Python Package Index, you would install it by running a command like \"pip install vfb-connect\" in your terminal or command prompt. \n\nAfter installation, you would usually import the package in your Python script or code, and then use its functions and classes as needed. Without more specific information about VFB-connect, such as its documentation or source code, it's difficult to provide more detailed instructions.\n\nVFB does not currently hold specific data on installing or using VFB-connect in Python. For more information, I would suggest searching for the official VFB-connect documentation or contacting the developers directly.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 1006, + "status_count": 5 + } + }, + { + "attempt_index": 44, + "task_index": 44, + "task_id": "D14", + "tier": 6, + "title": "API: REST endpoints", + "question": "How can I query Virtual Fly Brain programmatically using the SOLR or Owlery API?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 8090, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Reading VFB documentation", + "phase": "mcp" + }, + { + "message": "Checking VFB documentation", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 119, + "request_id": "51a356ab-4109-404e-bdee-b2622f7f8f5f", + "response_id": "chatcmpl-ee7261011cd845ba1198167595003ca2", + "images_count": 0, + "graphs_count": 0, + "response": "To query Virtual Fly Brain programmatically, you can use either the SOLR or Owlery API. The Owlery API provides OWL reasoning services for Virtual Fly Brain's ontologies, enabling complex queries over class hierarchies and relationships. The SOLR Search API provides fast text search and autocomplete functionality for Virtual Fly Brain entities, datasets, and publications. This information comes from the Virtual Fly Brain documentation, which can be found by reviewing the search reviewed documents. VFB holds documentation on how to use these APIs, which can be accessed through the search reviewed documents.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 613, + "status_count": 5 + } + }, + { + "attempt_index": 45, + "task_index": 45, + "task_id": "D15", + "tier": 6, + "title": "API: integrations", + "question": "How do I explore Virtual Fly Brain neurons using Navis or pymaid?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 11954, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 2 terms in VFB", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 230, + "request_id": "107faeec-f5c8-4eac-bbd1-92e3d0574e6e", + "response_id": "chatcmpl-7ac891684c2e9649bd94502a41722c79", + "images_count": 0, + "graphs_count": 0, + "response": "To explore Virtual Fly Brain neurons using Navis or pymaid, you can utilize these tools to analyze and visualize neuronal data. The connectome data indicates that Navis and pymaid are Python packages designed for working with neuronal morphology and connectivity data. \n\nVFB does not currently hold specific documentation or tutorials on using Navis or pymaid with Virtual Fly Brain data. However, you can explore the Virtual Fly Brain database to find relevant neuronal data and then use Navis or pymaid to analyze and visualize this data. \n\nYou may want to look into the documentation for Navis and pymaid to learn more about their capabilities and how to use them with Virtual Fly Brain data. Additionally, you can search for tutorials or examples online that demonstrate how to use these tools together. \n\nPlease note that the availability and specifics of this functionality may depend on the current state of the Virtual Fly Brain database and the Navis and pymaid packages.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 980, + "status_count": 43 + } + }, + { + "attempt_index": 46, + "task_index": 46, + "task_id": "D16", + "tier": 6, + "title": "MCP tool usage", + "question": "How do I use the Virtual Fly Brain Model Context Protocol (MCP) tool?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 1188, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + } + ], + "event_count": 3, + "request_id": "fed483e3-25f0-4565-9cbe-b872983ffa83", + "response_id": "local-fed483e3-25f0-4565-9cbe-b872983ffa83", + "images_count": 0, + "graphs_count": 0, + "response": "What specific aspect of the Virtual Fly Brain Model Context Protocol tool do you need help with?", + "quality_flags": { + "has_tool_status": false, + "no_tool_factual_answer": true, + "tool_claim_without_tool": true, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 96, + "status_count": 2 + } + }, + { + "attempt_index": 47, + "task_index": 47, + "task_id": "D17", + "tier": 6, + "title": "News / operational", + "question": "When did predicted neurotransmitters for EM data become available on VFB?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 7707, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 65, + "request_id": "244855f2-d6c1-4249-b990-ada48f57a058", + "response_id": "chatcmpl-d1b38bc5e9458779d79c766cb9c8860d", + "images_count": 0, + "graphs_count": 0, + "response": "VFB does not currently hold data on when predicted neurotransmitters for EM data became available on VFB.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 105, + "status_count": 43 + } + }, + { + "attempt_index": 48, + "task_index": 48, + "task_id": "D18", + "tier": 6, + "title": "Community events", + "question": "When and where is the NeuroFly 2026 conference?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 11910, + "status_messages": [ + { + 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VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 107, + "request_id": "8c0801af-58b3-4155-9dba-151dab81826f", + "response_id": "chatcmpl-6fb526aaed59fe00998e9bc0c3d4f051", + "images_count": 0, + "graphs_count": 0, + "response": "The NeuroFly 2026 conference will be held at the University of Cologne, Germany, from September 7th to 11th, 2026, as stated in the documentation from the Virtual Fly Brain blog. VFB does not currently hold additional data on this conference beyond what is provided in the documentation.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 287, + "status_count": 43 + } + }, + { + "attempt_index": 49, + "task_index": 49, + "task_id": "D19", + "tier": 6, + "title": "Workshops / training", + "question": "What materials are available from the VFB 'Hacking the connectome' workshop?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 12641, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Reading VFB documentation", + "phase": "mcp" + }, + { + "message": "Querying VFB connectivity", + "phase": "mcp" + }, + { + "message": "Checking VFB documentation", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 142, + "request_id": "260e71c5-8074-4d85-a6c3-31534c5b0f13", + "response_id": "chatcmpl-bf67c24b4c40285607ce538cb7db5e41", + "images_count": 8, + "graphs_count": 0, + "response": "The Virtual Fly Brain database indicates that materials from the VFB 'Hacking the connectome' workshop are available, including tutorials. VFB holds various records related to the [adult ventral fan-shaped body tangential neuron](https://www.virtualflybrain.org/reports/FBbt_00049538 \"Open adult ventral fan-shaped body tangential neuron in Virtual Fly Brain\"), such as available images, splits targeting this neuron, subclasses, transgene expression, downstream connectivity classes, and upstream connectivity classes. To access the specific materials from the workshop, you can search the reviewed documents. For more information on the adult ventral fan-shaped body tangential neuron, you can run queries to retrieve the available data, including the number of images, splits, subclasses, transgene expression records, downstream connectivity classes, and upstream connectivity classes.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 889, + "status_count": 7 + } + }, + { + "attempt_index": 50, + "task_index": 50, + "task_id": "D20", + "tier": 6, + "title": "Hosted / archived sites", + "question": "Where can I access the FAFB or FANC CATMAID datasets via Virtual Fly Brain?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 12304, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 3 terms in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 205, + "request_id": "bad4a7fc-da65-4965-af94-cd07698dbb9d", + "response_id": "chatcmpl-8f553141d34cab61dbb391886de38497", + "images_count": 2, + "graphs_count": 0, + "response": "To access the FAFB or FANC CATMAID datasets via Virtual Fly Brain, you can utilize the available queries for the resolved entities. For [DNp44 (FAFB:3094186)](https://www.virtualflybrain.org/reports/VFB_001011rk \"Open DNp44 (FAFB:3094186) in Virtual Fly Brain\"), VFB holds data on Neurons connected to DNp44 (FAFB:3094186), which can be accessed by running the corresponding query to obtain the count of connected neurons. Similarly, for [neuron 2232 (FANC:492501)](https://www.virtualflybrain.org/reports/VFB_001027ke \"Open neuron 2232 (FANC:492501) in Virtual Fly Brain\"), VFB has annotated data on Neurons with similar morphology to neuron 2232 (FANC:492501) using the NBLAST algorithm, and running this query will provide the count of such neurons. However, the exact access method to the FAFB or FANC CATMAID datasets themselves is not specified in the available data.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 873, + "status_count": 43 + } + }, + { + "attempt_index": 51, + "task_index": 51, + "task_id": "D21", + "tier": 6, + "title": "Anatomy teaching diagrams", + "question": "Is there a circuit diagram of the mushroom body available on Virtual Fly Brain?", + "requires_graph": false, + "min_graphs": 0, + "repetition": 1, + "ok": true, + "duration_ms": 11406, + "status_messages": [ + { + "message": "Thinking...", + "phase": "llm" + }, + { + "message": "Planning the answer", + "phase": "llm" + }, + { + "message": "Resolving 1 term in VFB", + "phase": "mcp" + }, + { + "message": "Searching VFB terms", + "phase": "mcp" + }, + { + "message": "Reading VFB term info", + "phase": "mcp" + }, + { + "message": "Writing the answer", + "phase": "llm" + } + ], + "event_count": 123, + "request_id": "3d025aae-91ee-41c0-9826-e5d5729cec84", + "response_id": "chatcmpl-6c1adb547acdea37309bae5bf941e84b", + "images_count": 8, + "graphs_count": 0, + "response": "The Virtual Fly Brain database indicates that there are circuit diagrams and images of the [mushroom body](https://www.virtualflybrain.org/reports/FBbt_00005801 \"Open mushroom body in Virtual Fly Brain\") available. According to the VFB data, there are [2](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?q=FBbt_00005801,ListAllAvailableImages \"Run in VFB: List all available images of mushroom body\") available images of the mushroom body. Additionally, VFB holds various records related to the mushroom body, including neurons with some part in the mushroom body, neurons with synaptic terminals in the mushroom body, and parts of the mushroom body, among others. To explore these records, you can query the available images of the mushroom body, or examine the neurons, parts, and other related data that VFB has annotated for the mushroom body.", + "quality_flags": { + "has_tool_status": true, + "no_tool_factual_answer": false, + "tool_claim_without_tool": false, + "disambiguation_only_answer": false, + "investigation_plan_answer": false, + "not_verified_or_no_results_answer": false, + "graph_failure_mentioned": false, + "missing_required_graph": false, + "used_data_resource": false, + "response_chars": 861, + "status_count": 6 + } + } + ] +} diff --git a/tests/unit/orchestrator.test.mjs b/tests/unit/orchestrator.test.mjs index ec6980d..36aba94 100644 --- a/tests/unit/orchestrator.test.mjs +++ b/tests/unit/orchestrator.test.mjs @@ -11,6 +11,7 @@ import { import { PLAN_SCHEMA, INTENTS, buildPlannerMessages, normalizePlan, detectFastPath } from '../../lib/planner.mjs' import { nextAction, decideRetrieval, statusSummary } from '../../lib/controller.mjs' import { validateAgainstSchema } from '../../lib/structuredOutput.mjs' +import { pickBestQueryForQuestion, maybeInjectCountQueryStep } from '../../lib/orchestrator.mjs' const PLAN = { intent: 'connectivity', @@ -219,3 +220,47 @@ test('statusSummary: compact and complete flag', () => { assert.equal(s.evidence, 1) assert.match(s.steps, /s1:satisfied/) }) + +// ---- count-question auto-run (surface the number, don't tell the user to run it) ---- + +const MEDULLA_DIGEST = { + name: 'medulla', + queries: [ + { query_type: 'ImagesNeurons', label: 'Images of neurons with some part in medulla', count: -1 }, + { query_type: 'NeuronsPartHere', label: 'Neurons with some part in medulla', count: -1 }, + { query_type: 'SubclassesOf', label: 'Subclasses of medulla', count: 4 } + ] +} + +test('pickBestQueryForQuestion: unambiguous best match wins, ambiguous/none returns null', () => { + assert.equal( + pickBestQueryForQuestion('how many images of neurons with a part in the medulla are available?', MEDULLA_DIGEST)?.query_type, + 'ImagesNeurons') + assert.equal( + pickBestQueryForQuestion('how many subclasses of the medulla?', MEDULLA_DIGEST)?.query_type, + 'SubclassesOf') + // a question with no distinctive overlap returns null (don't guess) + assert.equal(pickBestQueryForQuestion('how many kittens of the medulla?', MEDULLA_DIGEST), null) +}) + +test('maybeInjectCountQueryStep: injects a run_query step for the matched query on a count question', () => { + const l = setPlan(createLedger('q'), { intent: 'other', underspecified: false, clarifying_question: '', terms_to_resolve: ['medulla'], steps: [] }) + addTerm(l, 'medulla', { id: 'FBbt_00003748', digest: MEDULLA_DIGEST }) + maybeInjectCountQueryStep(l, 'how many images of neurons with a part in the medulla are available?') + assert.equal(l.plan.length, 1) + assert.equal(l.plan[0].tool, 'vfb_run_query') + assert.deepEqual(l.plan[0].args, { id: 'FBbt_00003748', query_type: 'ImagesNeurons' }) +}) + +test('maybeInjectCountQueryStep: no-op for non-count questions and when a run_query step already exists', () => { + // not a count question + const l1 = setPlan(createLedger('q'), { intent: 'other', underspecified: false, clarifying_question: '', terms_to_resolve: ['medulla'], steps: [] }) + addTerm(l1, 'medulla', { id: 'FBbt_00003748', digest: MEDULLA_DIGEST }) + maybeInjectCountQueryStep(l1, 'what is the medulla?') + assert.equal(l1.plan.length, 0) + // already has a run_query step → don't duplicate + const l2 = setPlan(createLedger('q'), { intent: 'other', underspecified: false, clarifying_question: '', terms_to_resolve: ['medulla'], steps: [{ id: 's1', tool: 'vfb_run_query', answers: ['x'] }] }) + addTerm(l2, 'medulla', { id: 'FBbt_00003748', digest: MEDULLA_DIGEST }) + maybeInjectCountQueryStep(l2, 'how many images of neurons in the medulla?') + assert.equal(l2.plan.length, 1) +})