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authorDmitry Vyukov <dvyukov@google.com>2026-01-15 20:53:57 +0100
committerDmitry Vyukov <dvyukov@google.com>2026-01-20 21:12:57 +0000
commit7f5908e77ae0e7fef4b7901341b8c2c4bbb74b28 (patch)
tree2ccbc85132a170d046837de6bdd8be3317f94060 /dashboard/dashapi
parent2494e18d5ced59fc7f0522749041e499d3082a9e (diff)
pkg/aflow: make LLM model per-agent rather than per-flow
Having LLM model per-agent is even more flexible than per-flow. We can have some more complex tasks during patch generation with the most elaborate model, but also some simpler ones with less elaborate models.
Diffstat (limited to 'dashboard/dashapi')
-rw-r--r--dashboard/dashapi/ai.go5
1 files changed, 2 insertions, 3 deletions
diff --git a/dashboard/dashapi/ai.go b/dashboard/dashapi/ai.go
index 8134e5744..dfa410402 100644
--- a/dashboard/dashapi/ai.go
+++ b/dashboard/dashapi/ai.go
@@ -14,9 +14,8 @@ type AIJobPollReq struct {
}
type AIWorkflow struct {
- Type ai.WorkflowType
- Name string
- LLMModel string // LLM model that will be used to execute this workflow
+ Type ai.WorkflowType
+ Name string
}
type AIJobPollResp struct {