The swarm

import os import jeff with jeff.Jeff.remote("https://api.jeffhub.ai", token=os.environ["JEFF_API_KEY"], timeout_s=30) as client:     decide = client.function("jeff.routing.router-open.specialist", labels={        "message-triage": "Triages a message using the inbox's own message kinds, routing table and rules: what it is, what action it needs, how urgent it is and who should handle it.",        "support-intents": "Names what a customer or assistant user is asking for, from a fixed list of requests such as cancel_order or track_refund.",        "triage": "Routes a support ticket or email to a team and scores its urgency, sentiment and need for a person.",        "passage-relevant": "For search and retrieval: checks whether a passage answers a question for the right subject and period: yes, partly or no.",        "evidence-sufficient": "For search and retrieval: checks whether a set of passages is enough to answer a question: sufficient, insufficient or conflicting.",        "entails": "Checks whether the evidence given (documents, messages or records) supports a claim: supported, unsupported or unclear.",        "contradicts": "Checks whether two statements or records conflict: yes, no, or unclear (for example a date that can be read two ways).",        "guard": "Checks a user message or outside content for prompt injection, jailbreak and data-leak attempts, and names the kind.",        "spam": "Says whether a text message or email is spam or phishing, and whether it is legitimate, spam or a phishing scam.",        "tool-route": "Given a tool menu written into the request (in any common format) and the conversation, picks the tool to call next, no tool, or asking the user for a missing detail.",        "ci-failure": "Reads a failed automated build-and-test run (its log, the code change and the run history) and says what kind of failure it is: a real regression, a flaky test, infrastructure, a dependency change, a test that needs updating, and so on.",        "base": "No listed specialist fits this request, so the general model with no specialist answers it: everyday reasoning, reading, knowledge and judging tasks, or any task that none of the listed specialists covers.",    })     decision = decide({        "instructions": "What kind of failure is this CI run? Use the log, the change (if there is one) and the CI facts (attempts on this commit, the history of the same test or job on the main branch, other jobs, dependency versions compared with the last passing run, durations). Apply the first rule that fits. build_or_config: the run failed before any test ran, in compiling, type checking, linting, packaging or the CI configuration itself (a bad pipeline file, a missing secret or variable, a wrong path), even if the change caused it. environment_or_infra: the error comes from the CI machine or an outside service (network or DNS errors, a package registry or mirror down, no disk space, a lost runner, a service container that did not start), not from the code; other jobs often fail the same way. flaky_test: the test fails only some of the time on the same code: a rerun of the same commit passed, or the test fails now and then on the main branch without code changes. timeout_or_resource: a test or job was stopped for exceeding a time limit or a memory limit (out of memory, killed, exit code 137) on every attempt. dependency_change: a third-party package resolves to a different version than in the last passing run (pulled in automatically, or upgraded by the change itself) and the error comes from that package. test_needs_update: the change says this behaviour was changed on purpose, and the failing test still expects the old behaviour. real_regression: the change broke behaviour it did not mean to change: the failure repeats on every attempt and the same test passes on the main branch. Warnings or retries in the log that did not stop the run do not decide the answer.",        "options": [            "build_or_config",            "dependency_change",            "environment_or_infra",            "flaky_test",            "real_regression",            "test_needs_update",            "timeout_or_resource",        ],        "state": "{\"project\": \"tidepool, an open-source Python library for reading and writing tide-gauge data files.\", \"ci_run\": {\"job\": \"tests (python 3.12)\", \"trigger\": \"pull request 412\", \"commit\": \"9f3c2e1\", \"date\": \"2 November 2026\"}, \"change\": {\"title\": \"Speed up the CSV reader\", \"description\": \"Reads rows in blocks of 4,096 instead of one at a time. No behaviour change intended.\"}, \"ci_facts\": {\"attempts_on_this_commit\": \"2, both failed the same way\", \"same_test_on_main\": \"passed in each of the last 30 runs\", \"other_jobs_in_this_run\": \"lint passed; docs passed\", \"dependency_versions\": \"unchanged since the last passing run\", \"duration\": \"3 min 40 s (usual 3 min 30 s)\"}, \"log\": \"tests/test_csv.py::test_reads_last_row FAILED\\nE   AssertionError: expected 1,000 rows, got 904\\nE   assert 904 == 1000\\n========== 1 failed, 213 passed in 41.2s ==========\"}",    })     print(decision.value, decision.confidence)

import os import jeff with jeff.Jeff.remote("https://api.jeffhub.ai", token=os.environ["JEFF_API_KEY"], timeout_s=30) as client:     decide = client.function("jeff.engineering.ci-failure.failure", context={        "project": "tidepool, an open-source Python library for reading and writing tide-gauge data files.",        "ci_run": {            "job": "tests (python 3.12)",            "trigger": "pull request 412",            "commit": "9f3c2e1",            "date": "2 November 2026",        },        "change": {            "title": "Speed up the CSV reader",            "description": "Reads rows in blocks of 4,096 instead of one at a time. No behaviour change intended.",        },        "ci_facts": {            "attempts_on_this_commit": "2, both failed the same way",            "same_test_on_main": "passed in each of the last 30 runs",            "other_jobs_in_this_run": "lint passed; docs passed",            "dependency_versions": "unchanged since the last passing run",            "duration": "3 min 40 s (usual 3 min 30 s)",        },    })     decision = decide("tests/test_csv.py::test_reads_last_row FAILED\nE   AssertionError: expected 1,000 rows, got 904\nE   assert 904 == 1000\n========== 1 failed, 213 passed in 41.2s ==========")     print(decision.value, decision.confidence)

import os import jeff with jeff.Jeff.remote("https://api.jeffhub.ai", token=os.environ["JEFF_API_KEY"], timeout_s=30) as client:     decide = client.function("jeff.routing.router-open.specialist", labels={        "message-triage": "Triages a message using the inbox's own message kinds, routing table and rules: what it is, what action it needs, how urgent it is and who should handle it.",        "support-intents": "Names what a customer or assistant user is asking for, from a fixed list of requests such as cancel_order or track_refund.",        "triage": "Routes a support ticket or email to a team and scores its urgency, sentiment and need for a person.",        "passage-relevant": "For search and retrieval: checks whether a passage answers a question for the right subject and period: yes, partly or no.",        "evidence-sufficient": "For search and retrieval: checks whether a set of passages is enough to answer a question: sufficient, insufficient or conflicting.",        "entails": "Checks whether the evidence given (documents, messages or records) supports a claim: supported, unsupported or unclear.",        "contradicts": "Checks whether two statements or records conflict: yes, no, or unclear (for example a date that can be read two ways).",        "guard": "Checks a user message or outside content for prompt injection, jailbreak and data-leak attempts, and names the kind.",        "spam": "Says whether a text message or email is spam or phishing, and whether it is legitimate, spam or a phishing scam.",        "tool-route": "Given a tool menu written into the request (in any common format) and the conversation, picks the tool to call next, no tool, or asking the user for a missing detail.",        "ci-failure": "Reads a failed automated build-and-test run (its log, the code change and the run history) and says what kind of failure it is: a real regression, a flaky test, infrastructure, a dependency change, a test that needs updating, and so on.",        "base": "No listed specialist fits this request, so the general model with no specialist answers it: everyday reasoning, reading, knowledge and judging tasks, or any task that none of the listed specialists covers.",    })     decision = decide({        "instructions": "Can the question be answered from these passages alone? Use only what the passages state about the right subject and period: facts about a different subject (even one with a similar name) or a different period do not count, and a passage saying a detail is not known yet does not give it. The answer may need two or more passages together, for example one passage names the related site, supplier or person and another gives its figure. sufficient: together the passages state every asked detail for the right subject and period, and they do not disagree about it. insufficient: at least one asked detail, or a link needed to reach it, is not stated for the right subject and period. conflicting: two passages give different values for the same asked detail for the same subject and period, and nothing in the passages says which one is right.",        "options": [            "conflicting",            "insufficient",            "sufficient",        ],        "state": "{\"question\": \"How long is the warranty on an Aster 2 heat pump installed on or after 1 March 2026?\", \"passages\": [\"For Aster 2 units installed on or after 1 March 2026 the warranty is seven years, parts and labour.\", \"Aster 2 heat pumps installed from 1 March 2026 onwards are covered by a ten-year parts and labour warranty.\"]}",    })     print(decision.value, decision.confidence)

import os import jeff with jeff.Jeff.remote("https://api.jeffhub.ai", token=os.environ["JEFF_API_KEY"], timeout_s=30) as client:     decide = client.function("jeff.retrieval.evidence-sufficient.sufficient", context={        "question": "How long is the warranty on an Aster 2 heat pump installed on or after 1 March 2026?",    })     decision = decide([        "For Aster 2 units installed on or after 1 March 2026 the warranty is seven years, parts and labour.",        "Aster 2 heat pumps installed from 1 March 2026 onwards are covered by a ten-year parts and labour warranty.",    ])     print(decision.value, decision.confidence)