Process call analysis jobs in AI worker

README.md

@@ -24,8 +24,8 @@ service.
 
 ## Built-in workers
 
-The first built-in worker processes `llm_chat` and `chat_completion` jobs whose
-`model_profile` equals `LLM_MODEL`.
+The first built-in worker processes `llm_chat`, `chat_completion` and
+`call_analysis` jobs whose `model_profile` equals `LLM_MODEL`.
 
 Input can be either explicit messages:
 
@@ -42,6 +42,10 @@ Input can be either explicit messages:
 or compact `system` / `user` fields. The completed job result contains
 `content`, `model`, `usage` and `duration_ms`.
 
+`call_analysis` uses the same input contract as `llm_chat`; callers may include
+domain metadata fields in `input`, but the worker only reads chat fields such as
+`system`, `user`, `messages`, `max_tokens` and `response_format`.
+
 ## API
 
 - `POST /api/v1/jobs` creates one job.

internal/worker/worker.go

@@ -15,6 +15,7 @@ import (
 const (
 	TaskLLMChat        = "llm_chat"
 	TaskChatCompletion = "chat_completion"
+	TaskCallAnalysis   = "call_analysis"
 )
 
 type Worker struct {
@@ -72,7 +73,7 @@ func (w *Worker) tick(ctx context.Context) {
 	}
 	jobs, err := w.store.ClaimJobs(ctx, model.ClaimJobs{
 		WorkerID:      w.workerID,
-		TaskTypes:     []string{TaskLLMChat, TaskChatCompletion},
+		TaskTypes:     []string{TaskLLMChat, TaskChatCompletion, TaskCallAnalysis},
 		ModelProfiles: []string{w.modelProfile},
 		Limit:         w.claimLimit,
 	})