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inter-hub/Application/Helper/Controller.hs
Bernd Worsch 2605c1c977
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feat(P5): IHF Phase 5 complete — agent-assisted distillation
Adds bounded AI support to the IHF governance loop. All AI outputs are
attributed (model_ref), reviewable (AgentReviewRecord), and reversible.
No autonomous decisions; no silent requirement promotion.

- T01: Schema — agent_proposals, agent_review_records,
  confidence_annotations (migration 1743379200)
- T02: AgentProposalsController (index/show/accept/reject, idempotent
  review guard), global nav "Agent" link
- T03: SummarizeClusterAction — Claude API cluster summary on widget show
- T04: DraftRequirementAction — AI requirement draft; acceptance creates
  RequirementCandidate (human-gated)
- T05: DetectDuplicatesAction — duplicate_flag proposal on candidate show
- T06: DetectPolicySensitivityAction — policy_flag with
  ConfidenceAnnotations per concern scope
- T07: ProposeImplementationAction — impl_proposal from decision show
- T08: AgentAuditDashboardAction — autoRefresh; KPI row, unreviewed queue,
  recent proposals, attribution log matrix
- T09: integration tests, SCOPE.md updated, phase5-summary.md, flake.nix
  adds http-conduit/aeson/string-conversions

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-29 15:54:33 +00:00

129 lines
5.6 KiB
Haskell

module Application.Helper.Controller where
import IHP.ControllerPrelude
import Generated.Types
import Data.Time.Clock (addUTCTime)
import Data.List (sortBy)
-- Phase 5: Anthropic API
import Network.HTTP.Conduit (newManager, tlsManagerSettings, parseRequest, httpLbs, responseBody, method, requestHeaders, requestBody, RequestBodyLBS(..))
import Data.Aeson (object, (.=), encode, eitherDecode, Value)
import Data.Aeson.Lens (key, _String, nth)
import Control.Lens ((^?))
import Data.String.Conversions (cs)
import System.Environment (lookupEnv)
-- Here you can add functions which are available in all your controllers
-- | Returns the set of widget IDs that are currently in regression.
--
-- A regression is defined as: a widget that has an OutcomeSignal(improved)
-- for any deployment, followed by a new Annotation(severity IN high/critical)
-- created more than 1 day after the signal's observed_at (grace period).
regressedWidgetIds :: [OutcomeSignal] -> [Annotation] -> [Id Widget]
regressedWidgetIds signals annotations =
[ wid
| wid <- nub (map (.widgetId) signals)
, isInRegression signals annotations wid
]
isInRegression :: [OutcomeSignal] -> [Annotation] -> Id Widget -> Bool
isInRegression signals annotations wid =
let improvedSignals = filter (\s -> s.widgetId == wid && s.signalType == "improved") signals
highAnns = filter (\a -> a.widgetId == wid
&& a.severity `elem` ["high", "critical"]
&& isNothing a.retractedAt) annotations
graceEnd sig = addUTCTime (24 * 3600) sig.observedAt
in any (\sig -> any (\ann -> ann.createdAt > graceEnd sig) highAnns) improvedSignals
-- | Computes the number of completed improvement cycles per widget.
--
-- A cycle is counted when:
-- 1. A RequirementCandidate for the widget was accepted
-- 2. A DecisionRecord exists for that requirement/candidate
-- 3. A DeploymentRecord exists for that decision
-- 4. A new RequirementCandidate was subsequently created for the same widget
--
-- Returns a list of (widgetId, cycleCount) for widgets with cycleCount >= 1,
-- sorted descending by cycleCount.
widgetCycleCounts
:: [RequirementCandidate]
-> [Requirement]
-> [DecisionRecord]
-> [DeploymentRecord]
-> [(Id Widget, Int)]
widgetCycleCounts candidates requirements decisions deployments =
sortBy (\(_, a) (_, b) -> compare b a)
[ (wid, cycleCount wid)
| wid <- nub (map (.sourceWidgetId) candidates)
, cycleCount wid >= 1
]
where
-- A completed cycle: accepted candidate → requirement → decision → deployment
completedCycleDeploymentTimes wid =
[ dr.deployedAt
| c <- filter (\x -> x.sourceWidgetId == wid && x.status == "accepted") candidates
, req <- filter (\x -> x.sourceCandidateId == c.id) requirements
, dec <- filter (\x -> x.requirementId == Just req.id) decisions
, dr <- filter (\x -> x.decisionId == dec.id) deployments
]
cycleCount wid =
let deplTimes = completedCycleDeploymentTimes wid
-- For each completed cycle, check if a subsequent candidate was created
widCandidates = filter (\x -> x.sourceWidgetId == wid) candidates
in length
[ ()
| deplTime <- deplTimes
, any (\c -> c.createdAt > deplTime) widCandidates
]
-- | Call the Anthropic Messages API.
--
-- Returns the text content of the first content block, or an error message.
-- API key read from IHP_ANTHROPIC_API_KEY env var.
-- On any error (missing key, HTTP failure, unexpected JSON) returns Left with a description.
callClaudeApi
:: Text -- ^ system prompt
-> Text -- ^ user message
-> Int -- ^ max_tokens
-> IO (Either Text Text)
callClaudeApi systemPrompt userMessage maxTokens = do
mApiKey <- lookupEnv "IHP_ANTHROPIC_API_KEY"
case mApiKey of
Nothing -> pure (Left "IHP_ANTHROPIC_API_KEY is not set")
Just apiKey -> do
let url = "https://api.anthropic.com/v1/messages"
let body = object
[ "model" .= ("claude-sonnet-4-6" :: Text)
, "max_tokens" .= maxTokens
, "system" .= systemPrompt
, "messages" .= [ object
[ "role" .= ("user" :: Text)
, "content" .= userMessage
] ]
]
let reqBody = RequestBodyLBS (encode body)
manager <- newManager tlsManagerSettings
initReq <- parseRequest url
let req = initReq
{ method = "POST"
, requestHeaders =
[ ("content-type", "application/json")
, ("x-api-key", cs apiKey)
, ("anthropic-version", "2023-06-01")
]
, requestBody = reqBody
}
resp <- httpLbs req manager
let respBody = responseBody resp
case eitherDecode respBody of
Left err -> pure (Left ("JSON parse error: " <> cs err))
Right val ->
case val ^? key "content" . nth 0 . key "text" . _String of
Just txt -> pure (Right txt)
Nothing ->
case val ^? key "error" . key "message" . _String of
Just msg -> pure (Left ("API error: " <> msg))
Nothing -> pure (Left "Unexpected API response shape")