Aidp Engineer Bootstrap

aidp-engineer-bootstrap — get a new terminal to a working agent

Take a brand-new terminal to a working AIDP agent. The plugin is fully self-contained — no dependency on the private ai-data-engineer-agent repo or any MCP server. Engine precedence (see references/aidp-cli-map.md):

• Control-plane — preferred: the official aidp CLI (public, Oracle-supported: github.com/oracle-samples/aidataplatform-sdk). Maps 1:1 to the skills; install it if you can (Step 2b).
• Control-plane — fallback: oci raw-request against the same REST API (works with only the oci CLI; references/oci-raw-request.md, references/no-mcp-rest-map.md). Same endpoint + auth as the CLI.
• Interactive Spark-SQL / notebook cells → the bundled helper python "$PLUGIN_DIR/scripts/aidp_sql.py" (mints a UPST from the api_key DEFAULT profile, auto-creates a scratch notebook, runs the cell — the CLI/SDK can't exec cells).

When to use

• First run, or "set up / configure / install / bootstrap AIDP", or control-plane/SQL calls failing on auth or missing config.

Step 1 — Verify the oci CLI + a DEFAULT api_key profile

oci --version                                   # CLI present?oci setup repair-file-permissions --file ~/.oci/config 2>/dev/nulloci iam region list --profile DEFAULT >/dev/null && echo "DEFAULT profile OK" || echo "fix DEFAULT profile"

• If oci is missing → install the OCI CLI (pip install oci-cli or the platform installer).
• The DEFAULT profile can be either an api_key profile (tenancy, user, fingerprint, key_file, region) or an oci session authenticate session-token profile — both engines have full parity (see "Session-token auth" in references/oci-raw-request.md). For api_key the WebSocket mints a UPST; for a session profile the session token is reused directly (no api_key needed anywhere).
• No api_key? Use a session token everywhere: oci session authenticate --profile <P> --region <r>, then control-plane via --auth security_token --profile <P>, and scripts/aidp_sql.py --profile <P> for cells (it auto-detects the session token). --session-profile stays as an explicit WebSocket-only override. Session tokens expire ~1h → oci session refresh --profile <P>.

Step 2 — Install the bundled Python deps

The only code in this plugin is scripts/aidp_sql.py; it needs oci, requests, websocket-client, cryptography.

Resolve $PLUGIN_DIR first — after claude plugin install the plugin lives under Claude's plugins dir, not your project cwd, so the helper must be called by absolute path. Set it once: export PLUGIN_DIR="${CLAUDE_PLUGIN_ROOT}" (Claude sets CLAUDE_PLUGIN_ROOT for this plugin), or run claude plugin list, copy the install path, and export PLUGIN_DIR=<that path>. Every aidp_sql.py example in these skills uses "$PLUGIN_DIR/scripts/aidp_sql.py". (On a clean first session the SessionStart hook already auto-installs the deps; the manual step below is only a fallback.)

python -m pip install -r "$PLUGIN_DIR/scripts/requirements.txt"

Step 2b — (Preferred) install the official aidp CLI

The supported control-plane engine. Once it's on PyPI/npm this is one command; until then install from the GitHub release:

# When published (coming soon):  python -m pip install aidp-cli      # provides the `aidp` command# Today, from the v1.0.0 release zip:#   download aidp-py-cli-1.0.0.zip from#   https://github.com/oracle-samples/aidataplatform-sdk/releases/tag/v1.0.0 then:#   python -m pip install ./aidp-py-cli-1.0.0.zipaidp version && aidp command-groups        # verify the CLI is on PATH

Install in a venv — installing the SDK/CLI alongside oci-cli triggers pip dependency conflicts (it downgrades cryptography and clashes click/oci pins; the CLI still runs, but a venv keeps oci-cli and the bundled helper's deps clean). Verified live: aidp catalog list --instance-id <OCID> --auth api_key returns the catalogs on tpcds.

If aidp isn't installed, that's fine — every skill falls back to oci raw-request (Step 4 fallback). The plugin works either way; the CLI is just the supported, versioned path.

Step 3 — Gather region + DataLake OCID + workspace ("check my AIDP CLI setup")

Resolve these values and make them available to the CLI. The official demo's "Check my AIDP CLI setup" = confirming the instance + endpoint are set in the shell context:

export AIDP_INSTANCE_ID="<DATALAKE_OCID>"export AIDP_ENDPOINT="https://aidp.<region>.oci.oraclecloud.com"      # or: aidp configure  (sets default profile + instance)

Always set AIDP_ENDPOINT to the aidp.<region> gateway (LIVE-VERIFIED). The Python SDK otherwise defaults to datahub-dp.<region>…/20260430/aiDataPlatforms/, which 404s on tenancies not on that GA host (the aidp CLI already defaults to the working gateway). If AIDP_INSTANCE_ID is missing, the setup check stops there — set it (and the endpoint), then re-check. Never hardcode these into committed files.

• Region: default us-ashburn-1 (confirm with the user).
• DataLake OCID: ask the user for it (from the AIDP console URL/details). Do not guess one.
• Workspace: once you have region + OCID, auto-discover workspaces and let the user pick (use the data[].id / data[].key of the desired workspace):
  bash

  oci raw-request --http-method GET --profile DEFAULT \  --target-uri "https://aidp.<region>.oci.oraclecloud.com/20240831/dataLakes/<DATALAKE_OCID>/workspaces"

  If the user already knows the workspace OCID, use it directly. If the GET returns 401/403, run the auth ladder in references/oci-raw-request.md (oci session refresh --profile AIDP_SESSION, then retry with --auth security_token --profile AIDP_SESSION).

Step 4 — Smoke-test BOTH engines

1. Control-plane — confirm auth + OCID resolve. Preferred (official CLI):
   bash

   aidp catalog list --instance-id <DATALAKE_OCID> --auth api_key --profile DEFAULT --region <region>

   Fallback (no CLI installed) — oci raw-request:
   bash

   oci raw-request --http-method GET --profile DEFAULT \  --target-uri "https://aidp.<region>.oci.oraclecloud.com/20240831/dataLakes/<DATALAKE_OCID>/catalogs"

   Expect the catalog list / "status": 200. (404 → wrong version/prefix; 401/403 → auth ladder.)
2. Interactive SQL (scripts/aidp_sql.py) — pick an ACTIVE cluster (GET /workspaces/<ws>/clusters), then run a trivial cell:
   bash

   python "$PLUGIN_DIR/scripts/aidp_sql.py" \  --region <region> --datalake <DATALAKE_OCID> --workspace <ws> --cluster <cluster-key> \  --code "spark.sql('SELECT 1').show()"

   Expect JSON with "status": "ok" and the SELECT 1 output. (The helper mints a UPST from the DEFAULT profile and auto-creates Shared/_aidp_sql_scratch.ipynb; add --session-profile AIDP_SESSION only if the api_key path can't mint a token.)

Step 5 — Hand off

Both engines green → hand off to aidp-catalog-init to build .aidp/catalog.md, then the user is ready (aidp-engineer-overview for the tour, aidp-analyzing-data to ask questions).

References

• references/oci-raw-request.md — base URL, auth ladder, invocation shapes
• references/no-mcp-rest-map.md — verified control-plane endpoints per skill
• scripts/aidp_sql.py · scripts/requirements.txt — the SQL engine