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220 lines
11 KiB
Go
220 lines
11 KiB
Go
package service
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import (
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"time"
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infraerrors "github.com/Wei-Shaw/sub2api/internal/pkg/errors"
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)
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// ChannelMonitor 全局常量。
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// 这些是 MVP 阶段的硬编码值,按需可以提到 config 中。
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const (
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// monitorRequestTimeout 单次模型请求总超时(含 Body 读取)。
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monitorRequestTimeout = 45 * time.Second
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// monitorPingTimeout HEAD 请求 endpoint origin 的超时。
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monitorPingTimeout = 8 * time.Second
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// monitorDegradedThreshold 主请求成功但耗时超过该阈值视为 degraded。
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monitorDegradedThreshold = 6 * time.Second
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// monitorHistoryRetentionDays 明细历史保留天数。
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// 60s 默认间隔 * 30 天 ≈ 43200 行/monitor/model,一般部署总量 <= 2M 行,
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// PG 无压力;所以直接保留完整明细一个月,可用率查询可以全走原始行不依赖聚合。
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// 聚合表 channel_monitor_daily_rollups 仍然保留,作为长期历史回填/降级查询的兜底。
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monitorHistoryRetentionDays = 30
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// monitorRollupRetentionDays 日聚合保留天数。
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// 日聚合行由 RunDailyMaintenance 在超过该窗口后软删。
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monitorRollupRetentionDays = 30
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// monitorMaintenanceMaxDaysPerRun 单次维护任务最多聚合的天数。
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// 用于限制首次上线回填(30 天)+ 少量余量,避免长事务。
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monitorMaintenanceMaxDaysPerRun = 35
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// monitorWorkerConcurrency 调度器并发执行的监控数(pond 池容量)。
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monitorWorkerConcurrency = 5
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// monitorStartupLoadTimeout Start 时一次性加载所有 enabled monitor 的总超时。
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monitorStartupLoadTimeout = 10 * time.Second
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// monitorMinIntervalSeconds / monitorMaxIntervalSeconds 用户配置的检测间隔上下限。
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monitorMinIntervalSeconds = 15
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monitorMaxIntervalSeconds = 3600
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// monitorMessageMaxBytes message 字段最大字节数(与 schema/migration 一致)。
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monitorMessageMaxBytes = 500
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// monitorResponseMaxBytes 单次模型响应最大读取字节,防止 OOM。
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monitorResponseMaxBytes = 64 * 1024
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// monitorErrorBodySnippetMaxBytes 非 2xx 响应时保留上游 body 片段的最大字节数。
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// 留 300 字节足够覆盖典型结构化错误(如 `{"error":{"message":"..."}}`),
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// 又给 "upstream HTTP <status>: " 前缀留出余量,避免最终被 monitorMessageMaxBytes (500) 截得太狠。
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monitorErrorBodySnippetMaxBytes = 300
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// monitorChallengeMin / monitorChallengeMax challenge 操作数范围。
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monitorChallengeMin = 1
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monitorChallengeMax = 50
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// providerOpenAIPath OpenAI Chat Completions 路径(Kimi / DeepSeek 同为 OpenAI 兼容)。
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providerOpenAIPath = "/v1/chat/completions"
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// providerGrokPath Grok OpenAI-compatible Chat Completions 路径。
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providerGrokPath = "/v1/chat/completions"
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// providerZhipuPath 智谱 OpenAI 兼容 Chat Completions 路径(前缀与官方不同)。
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providerZhipuPath = "/api/paas/v4/chat/completions"
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// providerOpenAIResponsesPath OpenAI Responses API 路径。
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providerOpenAIResponsesPath = "/v1/responses"
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// providerAnthropicPath Anthropic Messages 路径。
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providerAnthropicPath = "/v1/messages"
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// providerGeminiPathTemplate Gemini generateContent 路径模板(含 model 占位)。
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providerGeminiPathTemplate = "/v1beta/models/%s:generateContent"
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// MonitorProviderOpenAI 等 provider 字符串常量(也是 ent enum 的实际值)。
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// 后 4 个 provider(antigravity/kimi/zhipu/deepseek)为配额模式引入:
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// antigravity 无探活 adapter(仅配额),其余 3 个复用 OpenAI 兼容探活。
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MonitorProviderOpenAI = "openai"
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MonitorProviderAnthropic = "anthropic"
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MonitorProviderGemini = "gemini"
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MonitorProviderGrok = "grok"
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MonitorProviderAntigravity = "antigravity"
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MonitorProviderKimi = "kimi"
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MonitorProviderZhipu = "zhipu"
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MonitorProviderDeepseek = "deepseek"
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// MonitorCheckMode 检测模式(channel_monitors.check_mode)。
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// probe - LLM 探活(默认,原有行为)
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// quota - 仅查关联账号用量/余额,零 LLM 成本
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// quota_probe - 探活 + 配额并存(配额快照挂到主模型历史行)
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MonitorCheckModeProbe = "probe"
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MonitorCheckModeQuota = "quota"
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MonitorCheckModeQuotaProbe = "quota_probe"
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// MonitorDefaultQuotaModel 是 quota 模式监控未显式指定模型时占位的虚拟模型名
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// (primary_model 列 NotEmpty,用 "quota" 让历史行/时间线机制无需特判)。
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MonitorDefaultQuotaModel = "quota"
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// monitorQuotaFetchCacheTTL 配额快照缓存时长。多个监控可能关联同一账号,
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// 而 interval 最小 15s 且国产配额服务无缓存,TTL 防止打爆上游配额端点。
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monitorQuotaFetchCacheTTL = 5 * time.Minute
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// monitorQuotaErrorCacheTTL 失败快照的负缓存时长:失败也短缓存,避免
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// 故障/凭据失效期间每次调度(最小 15s)都带真实凭据打上游;到期自动重试。
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monitorQuotaErrorCacheTTL = 60 * time.Second
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// monitorQuotaFetchTimeout singleflight 内单次配额抓取的总超时
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// (脱离调用方 ctx,防止某个监控的取消波及共享同一账号的其他监控)。
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monitorQuotaFetchTimeout = 45 * time.Second
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// monitorQuotaDegradedUsedPercent 任一用量窗口使用率超过该阈值时,
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// 配额检查状态记为 degraded(对齐账号页展示阈值)。
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monitorQuotaDegradedUsedPercent = 90.0
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// MonitorDefaultGrokModel 是新增 Grok 监控未显式指定模型时使用的轻量测活模型。
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MonitorDefaultGrokModel = "grok-4.5"
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// MonitorStatusOperational 等监控状态字符串常量(与 ent enum 一致)。
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MonitorStatusOperational = "operational"
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MonitorStatusDegraded = "degraded"
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MonitorStatusFailed = "failed"
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MonitorStatusError = "error"
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// monitorAvailability7Days / 15 / 30 用于聚合查询窗口。
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monitorAvailability7Days = 7
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monitorAvailability15Days = 15
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monitorAvailability30Days = 30
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// MonitorHistoryDefaultLimit 历史查询默认返回条数(handler 层共享)。
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MonitorHistoryDefaultLimit = 100
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// MonitorHistoryMaxLimit 历史查询最大返回条数(handler 层共享)。
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MonitorHistoryMaxLimit = 1000
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// monitorTimelineMaxPoints 用户视图 timeline 每个监控最多返回的历史点数。
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monitorTimelineMaxPoints = 60
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// monitorEndpointResolveTimeout validateEndpoint 解析 hostname 的最长耗时。
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monitorEndpointResolveTimeout = 5 * time.Second
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// ---- checker / runner 行为参数(消除 magic 值)----
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// monitorAnthropicAPIVersion Anthropic Messages API 版本头。
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monitorAnthropicAPIVersion = "2023-06-01"
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// monitorChallengeMaxTokens 单次 challenge 请求的 max_tokens(足够回答个位数算术)。
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monitorChallengeMaxTokens = 50
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// monitorRunOneBuffer runOne 的总超时缓冲(除请求超时与 ping 超时外的额外裕量)。
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monitorRunOneBuffer = 10 * time.Second
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// monitorIdleConnTimeout HTTP transport 空闲连接关闭超时。
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monitorIdleConnTimeout = 30 * time.Second
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// monitorTLSHandshakeTimeout HTTP transport TLS 握手超时。
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monitorTLSHandshakeTimeout = 10 * time.Second
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// monitorResponseHeaderTimeout HTTP transport 等待响应头超时。
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monitorResponseHeaderTimeout = 30 * time.Second
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// monitorPingDiscardMaxBytes ping 时丢弃响应体的最大字节数。
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monitorPingDiscardMaxBytes = 1024
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// monitorDialTimeout 自定义 dialer 单次连接超时。
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monitorDialTimeout = 10 * time.Second
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// monitorDialKeepAlive 自定义 dialer keep-alive 间隔。
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monitorDialKeepAlive = 30 * time.Second
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)
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// 业务错误(统一在此声明,避免散落)。
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var (
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ErrChannelMonitorNotFound = infraerrors.NotFound(
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"CHANNEL_MONITOR_NOT_FOUND", "channel monitor not found",
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)
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ErrChannelMonitorInvalidProvider = infraerrors.BadRequest(
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"CHANNEL_MONITOR_INVALID_PROVIDER", "provider must be one of openai/anthropic/gemini/grok/antigravity/kimi/zhipu/deepseek",
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)
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ErrChannelMonitorInvalidCheckMode = infraerrors.BadRequest(
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"CHANNEL_MONITOR_INVALID_CHECK_MODE", "check_mode must be one of probe/quota/quota_probe; antigravity only supports quota",
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)
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ErrChannelMonitorAccountRequired = infraerrors.BadRequest(
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"CHANNEL_MONITOR_ACCOUNT_REQUIRED", "account_id is required for quota-based check_mode",
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)
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ErrChannelMonitorProviderIncompatible = infraerrors.BadRequest(
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"CHANNEL_MONITOR_PROVIDER_INCOMPATIBLE", "monitor provider must match the linked account platform",
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)
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ErrChannelMonitorAccountNotSupportable = infraerrors.BadRequest(
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"CHANNEL_MONITOR_ACCOUNT_NOT_SUPPORTABLE", "linked account cannot serve as a quota data source (cn coding plan must be kimi/zhipu, cn payg must be kimi/deepseek, openai requires an oauth account, anthropic requires oauth or setup-token)",
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)
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ErrChannelMonitorInvalidAPIMode = infraerrors.BadRequest(
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"CHANNEL_MONITOR_INVALID_API_MODE", "api_mode must be chat_completions or responses; responses is only supported for openai",
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)
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ErrChannelMonitorInvalidRequestBody = infraerrors.BadRequest(
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"CHANNEL_MONITOR_INVALID_REQUEST_BODY", "openai-compatible replace-mode body_override must include non-empty messages for chat_completions or non-empty instructions and input for responses",
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)
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ErrChannelMonitorInvalidInterval = infraerrors.BadRequest(
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"CHANNEL_MONITOR_INVALID_INTERVAL", "interval_seconds must be in [15, 3600]",
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)
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ErrChannelMonitorInvalidJitter = infraerrors.BadRequest(
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"CHANNEL_MONITOR_INVALID_JITTER", "jitter_seconds must be >= 0 and interval_seconds - jitter_seconds must be >= 15",
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)
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ErrChannelMonitorInvalidEndpoint = infraerrors.BadRequest(
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"CHANNEL_MONITOR_INVALID_ENDPOINT", "endpoint must be a valid https URL",
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)
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ErrChannelMonitorEndpointScheme = infraerrors.BadRequest(
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"CHANNEL_MONITOR_ENDPOINT_SCHEME", "endpoint must use https scheme",
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)
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ErrChannelMonitorEndpointPath = infraerrors.BadRequest(
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"CHANNEL_MONITOR_ENDPOINT_PATH", "endpoint must be base origin only (no path/query/fragment)",
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)
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ErrChannelMonitorEndpointPrivate = infraerrors.BadRequest(
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"CHANNEL_MONITOR_ENDPOINT_PRIVATE", "endpoint must be a public host",
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)
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ErrChannelMonitorEndpointUnreachable = infraerrors.BadRequest(
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"CHANNEL_MONITOR_ENDPOINT_UNREACHABLE", "endpoint hostname could not be resolved",
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)
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ErrChannelMonitorMissingAPIKey = infraerrors.BadRequest(
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"CHANNEL_MONITOR_MISSING_API_KEY", "api_key is required when creating a monitor",
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)
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ErrChannelMonitorMissingPrimaryModel = infraerrors.BadRequest(
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"CHANNEL_MONITOR_MISSING_PRIMARY_MODEL", "primary_model is required",
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)
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ErrChannelMonitorAPIKeyDecryptFailed = infraerrors.InternalServer(
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"CHANNEL_MONITOR_KEY_DECRYPT_FAILED", "api key decryption failed; please re-edit the monitor with a fresh key",
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)
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)
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var (
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ErrChannelMonitorDisabled = infraerrors.Forbidden(
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"CHANNEL_MONITOR_DISABLED",
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"channel monitor feature is disabled",
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)
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ErrChannelMonitorActiveProbesRetired = infraerrors.Forbidden(
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"CHANNEL_MONITOR_ACTIVE_PROBES_RETIRED",
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"channel monitor active probes are retired in v2 mode",
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)
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ErrChannelMonitorModeMismatch = infraerrors.Forbidden(
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"CHANNEL_MONITOR_MODE_MISMATCH",
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"channel monitor mode does not allow this operation",
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)
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)
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