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Python: DevUI: Use metadata.entity_id instead of model field (#1984)

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* DevUI: Use metadata.entity_id for agent/workflow name instead of model field

* OpenAI Responses: add explicit request validation

* Review feedback
This commit is contained in:
Reuben Bond
2025-11-07 14:16:55 -08:00
committed by GitHub
Unverified
parent 778a9fec5c
commit f71faa80f9
23 changed files with 783 additions and 459 deletions
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python/packages/devui/README.md
+6 -6
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@@ -91,15 +91,15 @@ devui ./agents --tracing framework
## OpenAI-Compatible API
For convenience, DevUI provides an OpenAI Responses backend API. This means you can run the backend and also use the OpenAI client sdk to connect to it. Use **agent/workflow name as the model**, and set streaming to `True` as needed.
For convenience, DevUI provides an OpenAI Responses backend API. This means you can run the backend and also use the OpenAI client sdk to connect to it. Use **agent/workflow name as the entity_id in metadata**, and set streaming to `True` as needed.
```bash
# Simple - use your entity name as the model
# Simple - use your entity name as the entity_id in metadata
curl -X POST http://localhost:8080/v1/responses \
-H "Content-Type: application/json" \
-d @- << 'EOF'
{
"model": "weather_agent",
"metadata": {"entity_id": "weather_agent"},
"input": "Hello world"
}
```
@@ -115,7 +115,7 @@ client = OpenAI(
)
response = client.responses.create(
model="weather_agent", # Your agent/workflow name
metadata={"entity_id": "weather_agent"}, # Your agent/workflow name
input="What's the weather in Seattle?"
)
@@ -136,13 +136,13 @@ conversation = client.conversations.create(
# Use it across multiple turns
response1 = client.responses.create(
model="weather_agent",
metadata={"entity_id": "weather_agent"},
input="What's the weather in Seattle?",
conversation=conversation.id
)
response2 = client.responses.create(
model="weather_agent",
metadata={"entity_id": "weather_agent"},
input="How about tomorrow?",
conversation=conversation.id # Continues the conversation!
)