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rag.ask_contexts() cannot succeed: backend returns UNIMPLEMENTED on v1 and a generic INVALID_ARGUMENT on v1beta1. Is AskContexts allowlisted?

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
38/100
Issue type
Bug
Clarity
Mostly clear
Activity status
Active
Tech stack
python
Domain
api, backend

Research direction

Start by reading the agentplatform._genai.rag AskContexts request conversion and comparing it with the retrieve_contexts path; reproduce the v1beta1 and v1 responses described in the issue. Done means the service's allowlisting status and expected SDK behavior are established, with any proposed change backed by a focused test or documented response.

Written by the indexing model from the issue text.

Description

api: vertex-ai
Summary

agentplatform (shipped in google-cloud-aiplatform) exposes
client.rag.ask_contexts(). Every call returns 400 INVALID_ARGUMENT with no
field named.

This does not appear to be a client defect. I checked the request the SDK builds
against the discovery schema and it matches. The same request sent by hand fails
identically, and the v1 form of the method answers:

501 UNIMPLEMENTED
"Operation is not implemented, or supported, or enabled."

So the question is whether AskContexts requires allowlisting, and if so whether
the SDK should surface the method (or raise something more useful) until it is
generally served.

Environment
  • google-cloud-aiplatform 1.165.1 (also reproduced on 1.163.0)
  • google-genai 2.16.0
  • Python 3.13
  • Regions tested: us-west1, us-central1, us-east4, europe-west4
What I measured

Live RAG corpus in us-west1, 4 documents, state ACTIVE. Same credentials and
same client for every row.

probe result
retrieve_contexts, same corpus, creds, region OK, 4 chunks
ask_contexts() via the SDK 400 INVALID_ARGUMENT, no field named
raw REST, .../locations/L:askContexts 400, identical
body {"query": {...}} only (minimal valid per schema) 400
body {} 400
body naming a corpus that does not exist 400, identical to the valid one
body with an unknown field 400 Unknown name "zzz": Cannot find field
us-central1, us-east4, europe-west4 400 in all three
same method on v1 501 UNIMPLEMENTED
control: retrieveContexts with {} 400 "request must set datasource."

Two rows are the interesting ones:

  1. The endpoint parses the body, because it names an unknown field precisely.
  2. It never reaches corpus validation, because a nonexistent corpus and a
    valid corpus produce byte-identical errors.

And the control shows the RAG service returns specific, actionable errors in this
region when it is actually serving a method.

The request the SDK builds is schema-correct

GoogleCloudAiplatformV1beta1AskContextsRequest declares exactly {query, tools}.
That is what the SDK sends, and the corpus does reach the server inside tools:

from agentplatform._genai import rag, types as T
from google.genai import types as G

CORPUS = "projects/PROJECT/locations/us-west1/ragCorpora/CORPUS_ID"
tools = [G.Tool(retrieval=G.Retrieval(vertex_rag_store=G.VertexRagStore(
    rag_resources=[G.VertexRagStoreRagResource(rag_corpus=CORPUS)])))]

params = T._AskContextsRequestParameters(
    query=T.RagQuery(text="example question"),
    config=T.AskContextsConfig(tools=tools))

d = rag._AskContextsRequestParameters_to_vertex(params)
d.pop("config", None)          # the call site does this
print(sorted(d))               # ['query', 'tools']
print(CORPUS in str(d))        # True
Reproduction
import agentplatform
from agentplatform._genai import types as T
from google.genai import types as G

c = agentplatform.Client(project="PROJECT", location="us-west1")
CORPUS = "projects/PROJECT/locations/us-west1/ragCorpora/CORPUS_ID"

# works
c.rag.retrieve_contexts(
    vertex_rag_store=G.VertexRagStore(
        rag_resources=[G.VertexRagStoreRagResource(rag_corpus=CORPUS)]),
    query=T.RagQuery(text="example question"))

# 400 INVALID_ARGUMENT, no field named
c.rag.ask_contexts(
    query=T.RagQuery(text="example question"),
    config=T.AskContextsConfig(tools=[G.Tool(retrieval=G.Retrieval(
        vertex_rag_store=G.VertexRagStore(
            rag_resources=[G.VertexRagStoreRagResource(rag_corpus=CORPUS)])))]))

And the v1 form, which is the clearest signal:

POST https://us-west1-aiplatform.googleapis.com/v1/projects/PROJECT/locations/us-west1:askContexts
{"query": {"text": "example question"}}

501 {"error": {"code": 501,
     "message": "Operation is not implemented, or supported, or enabled.",
     "status": "UNIMPLEMENTED"}}
Questions
  1. Is AskContexts allowlisted or otherwise gated? If so, what is the path to
    enablement?
  2. If it is not generally available, could the v1beta1 endpoint return the same
    UNIMPLEMENTED that v1 returns, instead of a generic INVALID_ARGUMENT that
    sends callers looking for a bad field?
Note on a non-issue

While investigating I noticed the built path is
projects/P/locations/L/:askContexts, with a separator before the colon. That is
not the cause: retrieve_contexts builds projects/P/locations/L/:retrieveContexts
in exactly the same way and works. Mentioning it only so nobody else spends time
on it.

Dominant language
Python
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Avg merge
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Merged PRs (30d)
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