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Process call analysis jobs in AI worker
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Grendgi
2026-06-08 14:33:01 +03:00
parent 038ad8d7cf
commit e9792274a4
2 changed files with 8 additions and 3 deletions
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8
README.md
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@@ -24,8 +24,8 @@ service.
## Built-in workers ## Built-in workers
The first built-in worker processes `llm_chat` and `chat_completion` jobs whose The first built-in worker processes `llm_chat`, `chat_completion` and
`model_profile` equals `LLM_MODEL`. `call_analysis` jobs whose `model_profile` equals `LLM_MODEL`.
Input can be either explicit messages: 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 or compact `system` / `user` fields. The completed job result contains
`content`, `model`, `usage` and `duration_ms`. `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 ## API
- `POST /api/v1/jobs` creates one job. - `POST /api/v1/jobs` creates one job.

3
internal/worker/worker.go
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@@ -15,6 +15,7 @@ import (
const ( const (
TaskLLMChat = "llm_chat" TaskLLMChat = "llm_chat"
TaskChatCompletion = "chat_completion" TaskChatCompletion = "chat_completion"
TaskCallAnalysis = "call_analysis"
) )
type Worker struct { type Worker struct {
@@ -72,7 +73,7 @@ func (w *Worker) tick(ctx context.Context) {
} }
jobs, err := w.store.ClaimJobs(ctx, model.ClaimJobs{ jobs, err := w.store.ClaimJobs(ctx, model.ClaimJobs{
WorkerID: w.workerID, WorkerID: w.workerID,
TaskTypes: []string{TaskLLMChat, TaskChatCompletion}, TaskTypes: []string{TaskLLMChat, TaskChatCompletion, TaskCallAnalysis},
ModelProfiles: []string{w.modelProfile}, ModelProfiles: []string{w.modelProfile},
Limit: w.claimLimit, Limit: w.claimLimit,
}) })