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Cyrene_v2/internal/runtime/loop/step.go
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AskaEth 0624d9ee36
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feat(session,runtime): 多角色并存—按会话选角(迁移0011 + 按回合解析 + agent池 + 提取器修正)
按 DevDocs/design/22 批次 1 后端(§2/§3/§4.1-4.5/§4.7/§5 验收 1-6)。
- 迁移 0011:chat_sessions.persona_id + chat_messages.persona_id(均 DEFAULT '',无回填 → 升级零风险);同步包内幂等 DDL;**真实库升级验证**(拷贝 data/cyrene.db 到临时目录跑 MigrateUp:既有 1 会话/109 消息 persona 仍为 '',原库未被触碰)
- history:SessionMeta/Message 加 PersonaID + SetSessionPersona;ListSessions/List/scan/Append 带上
- runtime:SessionEnv.PersonaID + loop.personaFor(ctx) 替换固定 l.personaID(memory/request/turn)+ **agent 池**(Options.Agents,按角色取 instructions,未命中回落)+ **提取器不再把 persona 烤死在构造期**(多角色下记忆不再永远记在 cyrene 名下)+ **thinking 旋钮改为按会话角色解析**(否则角色 Y 会用角色 X 的预算/展示)
- gateway:会话 DTO/POST/PATCH 支持 personaId;ws/rest/voice 的 OwnerEnv 硬编改为**按会话解析角色**(actor 元数据语义不变);admin memories 搜索去掉硬编 cyrene
- Docs/api-client v0.42;**两处有意的行为收紧**已写明:POST /sessions body 非法 JSON → 400(原先完全忽略 body;空/null/{} 仍 201);POST /admin/memories/search 省略 personaId 且无默认角色 → 400(原先默认查 cyrene)
- 测试:design/22 §5 验收 1-6(记忆隔离/提示词首条 system/情绪按角色/提取 persona 归属/迁移兼容)+ 进程内 e2e(断言 adapter 收到的 model.Request.Messages[0] 即该角色的 systemPrompt)
- **已知未做(留批次 2 / 待确认)**:① IM 与渠道级未做 → **§7-3「owner 私聊镜像随主会话角色」尚未生效**;② 请求级覆盖未实现(本批只做会话级);③ **§7-5 的「上下文发送角色标记」只完成存储+DTO 半边**——消息 persona 已落库且 DTO 已带,但模型上下文不从 chat_messages 重建,「第 N 条是谁说的」尚未进上下文(需确认是否属批次 2);④「切角色重建摘要」当前是空操作(压缩未接线);⑤ thinking 旋钮仅在流式路径生效(非流式 agent.RunStep 不带,A 批次既有性质)
- 验收:go build/vet/test 全绿 + linux/amd64 与 darwin/arm64 交叉编译(既有 flake 本轮未触发;同批 session_orchestrator.go 一度 501 行 → 抽出 session_tail.go)
2026-10-03 20:12:29 +08:00

80 lines
2.9 KiB
Go

package loop
import (
"context"
"fmt"
"git.yeij.top/AskaEth/Cyrene_v2/internal/runtime/agent"
"git.yeij.top/AskaEth/Cyrene_v2/internal/runtime/model"
"git.yeij.top/AskaEth/Cyrene_v2/internal/runtime/trace"
)
// stepOutcome is the loop's internal view of one model step, normalized from the
// agent's *agent.StepResult (non-streaming) or the equivalent built by the
// streaming path.
type stepOutcome struct {
final bool
text string
toolCalls []agent.ToolCall
stopReason string
// modelStopReason is the provider's raw stop/finish reason for the model
// call (Anthropic max_tokens / end_turn / tool_use), recorded on the llm_call
// span so a truncation is visible even when the step itself ended normally.
modelStopReason string
// model is the routed model that served the call, known on the streaming path
// (which builds the request itself) and empty on the agent path. It is
// recorded on the llm_call span's log event.
model string
}
// step runs a single model call. When an OnStream callback is configured it
// drives the adapter's ChatStream directly, threading deltas to OnStream and
// applying the loop's guardrails; otherwise it delegates to the agent's RunStep,
// which runs the agent's own guardrails and records its own CallRecord. The whole
// call is wrapped in an llm_call span so the M9 panel sees each LLM invocation.
func (l *Loop) step(ctx context.Context, sessionID string, messages []model.Message) (*stepOutcome, error) {
_, llmSpan := l.span(ctx, "llm.call", trace.SpanKindLLM)
var (
out *stepOutcome
err error
)
// Muted (internal autonomous pass) bypasses streaming: it neither streams to
// the UI nor pays the streaming path's extra overhead. Normal chat streams.
if l.onStream != nil && !isMutedBroadcast(ctx) {
out, err = l.streamStep(ctx, messages)
} else {
out, err = l.agentStep(ctx, sessionID, messages)
}
if err != nil {
l.spanProp(llmSpan, "error", err.Error())
l.finishSpan(llmSpan, trace.SpanStatusError)
return nil, fmt.Errorf("loop: model step: %w", err)
}
l.spanProp(llmSpan, "stop_reason", out.stopReason)
if out.modelStopReason != "" {
l.spanProp(llmSpan, "model_stop_reason", out.modelStopReason)
}
l.spanProp(llmSpan, "tool_calls", len(out.toolCalls))
l.recordLLMDone(llmSpan, out, l.agentFor(ctx))
l.finishSpan(llmSpan, trace.SpanStatusOK)
return out, nil
}
// agentStep delegates a non-streaming step to the turn's agent, which runs input
// and output guardrails, calls the model and decodes any tool calls.
func (l *Loop) agentStep(ctx context.Context, sessionID string, messages []model.Message) (*stepOutcome, error) {
sr, err := l.agentFor(ctx).RunStep(ctx, sessionID, messages)
if err != nil {
return nil, fmt.Errorf("loop: agent step: %w", err)
}
return &stepOutcome{
final: sr.Final,
text: sr.Text,
toolCalls: sr.ToolCalls,
stopReason: sr.StopReason,
modelStopReason: sr.ModelStopReason,
}, nil
}