Foundry Iq

Read-only model and CU selection

purpose: none means no dependencies, not minimal retrieval effort. Minimal+extractive can be model-free; minimal+answerSynthesis needs purpose: chat. Only FIND inventories; supplied IDs exact-read. KB/retrieve verifies API; no readiness/access/approval proof.

Invocation and closed input

From skill directory:

python helpers/model_discovery.py --input choices.json

Required JSON (UTF-8):

{"schema_version":"1.0","purpose":"embedding","subscription_id":null,"resource_group":null,"account_id":null,"account_name":null,"deployment":null}

purpose: none, embedding, chat, cu. Null is unresolved. GUID subscription; ARM names. RGs: 1-90 Unicode letters/decimal digits or _-.(); no final period. account_id: exact Cognitive Services account ARM ID. deployment: name or deployment ARM ID. IDs supply parent/scope; conflicting fields block before CLI. CU/none reject deployment selectors. Optional endpoint: observed HTTPS origin, only with an exact account selector. Null/omitted requires a unique origin; explicit selection must match ARM. Reuse IDs/choices; no setup attestations during discovery.

Three dependency types: CU service capability (Content Understanding, Standard extraction); embedding deployment (vectorization); chat deployment (enabled image verbalization/KB synthesis). No project/agent gate. Keep separate CU, embedding and chat selections. CU never selects models. Unresolved models keep scope; set account_id, account_name, deployment and endpoint to null; never repurpose CU's selection_input. Explicit model selectors win. Prefer one compatible existing Foundry/AIServices account: CU capability + two model deployments. Separate embedding/KB-chat: per consumer contract. CU image-description models must be in the Foundry resource attached to the skillset. Never provision/migrate/redeploy to consolidate. CU proves no model deployments. Empty model lists are not scope-wide absence: inspect another selected candidate before proposing creation. A 403/timeout is unresolved, not absence; no denied-scope broadening.

• Known account ID or account name plus group: exact account GET.

• Name without group: selected-subscription typed listing; unique match exact GET, otherwise choices.

• Unknown account: group-scoped, otherwise subscription-scoped Cognitive Services accounts: AIServices/OpenAI for models; AIServices for CU. No deployment listing until an account is selected, even if only one exists.

• Selected model account: exact deployment GET when named, else its deployment list. Validate each role's deployment/capabilities/auth; never infer support from names. Missing capabilities need owner validation.

• CU: exact account metadata only; no deployment reads.

Bootstrap's shell-free runner disables installs/auto-upgrade/telemetry and raw logs. No login/context changes, secrets, writes, role/Policy/catalog/quota scans, content reads/uploads or model calls.

Exact CLI surfaces

Unresolved subscription only: az account show --query "{id:id}" --output json --only-show-errors. Otherwise skip context lookup; explicit scope wins. ARM calls:

az rest --method get --url <URL> --query <helper-projection> --subscription <GUID> --output json --only-show-errors

URL: https://management.azure.com<path>?api-version=2024-10-01. Encode paths, not IDs. A is the exact account path: /subscriptions/<sub>/resourceGroups/<group>/providers/Microsoft.CognitiveServices/accounts/<name>.

Complete pagination: 10 pages/200 raw rows aggregate; 20 seconds/command, 120 seconds total. Partial results block; narrow resource_group or use an exact ID. At most ten supported endpoint origins per account. Continuation retains ARM host/collection/API; only skip-token parameters. Native CLI JMESPath projects before capture: inventory IDs/names/kinds/locations, exact account endpoints/state, deployment identity/model/state/public capabilities. No ARM $select; all rows and nextLink survive. One MiB per stream, aggregate captured bytes and final JSON; post-capture checks are not memory bounds. No retries, fanout, denied-scope broadening or absence inference.

Closed output

Fields: schema_version, status, purpose, scope, accounts, deployments, selected, limits, warnings, first_failure, writes_performed (always []). Exit 0 returns skipped, no-candidates, account-choice-required, deployment-choice-required or selected; exit 2: blocked. No-candidates covers only the completed query. Scope: null or {subscription_id, resource_group}; limits: bounds above. first_failure is null or {code, status, message, request_id, message_digest}. Original service code/status/request ID and message digest survive CLI failure; No raw text/invented IDs; unreadable is not absent.

Account rows: {account_id, name, resource_group, location, kind, provisioning_state, endpoint, endpoint_sources, endpoint_state, endpoint_candidates, selection_input}. Deployment rows: {deployment_id, name, model_name, model_version, model_format, capabilities, provisioning_state, selection_input}. Metadata fields may be null; capabilities: safe string map, not support/capacity proof: embeddings, chatCompletion and validated numeric maxContextToken, maxOutputToken only. Missing/invalid values remain unknown; internal/unknown fields never emit. selected is null or {account, deployment} (deployment null for CU). endpoint_candidates is the sorted observed-origin list. Endpoint resolution failure retains the exact account row, never deployments or a selected result. Other failures discard choices. Inventory endpoint_state is not-assessed; endpoints/state are null/empty until GET.

Present observed compatible deployments together in existing flow. Keep complete scoped rows internally for ambiguity checks; never paste full inventories/JSON to the customer. Show at most five concise account/deployment choices, total count and a more/other choice from retained rows, not new discovery. Show account/group/region and deployment/model names distinctly. Known Storage location or selected region can rank suggestions, not prove CU/model availability. Explicit locations/reuse win; no hidden regional filter or absence claim. For choices, save the chosen row's selection_input unchanged. For ambiguous origins, copy it and set endpoint to a listed origin; rerun. No caller filtering, ID stitching or CLI glue. Exact readback revalidates choices. Selection is metadata only: owner verifies model suitability, version/capacity/cost/residency, selected CU dependencies, actual access and network before concrete approval.

Endpoint metadata, not a CU readiness assertion

ARM 2024-10-01 does not document endpoints["ContentUnderstanding"] as a stable CU discriminator. Never infer hosts from map keys/customSubDomainName.

Inspect the exact account's primary endpoint and every map value locally. CU: services.ai.azure.com; embedding/chat also accept openai.azure.com and cognitiveservices.azure.com. HTTPS origins only; strip only a trailing slash; without a selector require exactly one matching origin. Missing/multiple matching origins block; no rewriting, arbitrary fetch, paths/query/user-info/ports or readiness inference. For diagnostics: scope/endpoint rules.

File CU MI/explicit key and Blob Search identity stay distinct; neither is accessed. Existing source planners own exact-name collision checks; no extra preflight, suffixes, writes or auth changes.