app.yaml

command:
  - gunicorn
  - app:app
env:
  - name: HOME
    value: /app/python/source_code
  - name: ANTHROPIC_MODEL
    value: system.ai.claude-sonnet-5
  # Pi routes to the same /anthropic gateway route as Claude Code; PI_MODEL is
  # the serving-endpoint name it addresses (validated against in-geo models).
  - name: PI_MODEL
    value: system.ai.claude-sonnet-5
  - name: GEMINI_MODEL
    value: system.ai.gemini-3-flash
  # The setup script discovers system.ai models served via the Responses API
  # and replaces this request with the newest compatible model when needed.
  # Codex speaks wire_api="responses"; chat-completions-only models are
  # filtered out by gateway model discovery.
  - name: CODEX_MODEL
    value: system.ai.gpt-5
  - name: HERMES_MODEL
    value: databricks-claude-opus-4-8
  - name: HERMES_FALLBACK_MODEL
    value: databricks-claude-opus-4-8
  # Keep the public default set small and explicit.
  - name: ENABLE_CLAUDE
    value: "true"
  - name: ENABLE_FABLE_MODELS
    value: "false"
  - name: ENABLE_HERMES
    value: "false"
  - name: ENABLE_PI
    value: "true"
  # Codex enabled by default. CODEX_MODEL must name a model served by the
  # Responses API; set ENABLE_CODEX=false to skip its install.
  - name: ENABLE_CODEX
    value: "true"
  - name: ENABLE_OPENCODE
    value: "true"
  # Gemini enabled by default. GEMINI_MODEL must name a model served by the
  # Google-native API; set ENABLE_GEMINI=false to skip its install.
  - name: ENABLE_GEMINI
    value: "true"
  - name: CLAUDE_CODE_DISABLE_AUTO_MEMORY
    value: 0
  # Firewalled network: install Claude Code from the npm registry instead of the
  # claude.ai installer host. Same CLI (@anthropic-ai/claude-code); use when npm
  # is allowlisted but claude.ai / its install CDN is blocked. Default (unset)
  # keeps the curl claude.ai path.
  - name: CLAUDE_INSTALL_METHOD
    value: npm
  # AI Gateway host. LEFT UNSET DELIBERATELY — do not commit a workspace URL here.
  #
  # Unset is the correct default: utils.get_gateway_host() tier 2 derives the
  # gateway from DATABRICKS_WORKSPACE_ID (or from an Azure DATABRICKS_HOST) and
  # probes it for reachability, so a fresh deploy resolves its OWN workspace's
  # gateway with no edit. A committed URL is TRUSTED with no probe (tier 1), and
  # a token minted at one workspace is invalid at another's gateway — "400
  # Invalid Token" on every model call — so a stale value is worse than none.
  #
  # Note the three states are distinct (see the tier-1 comment in utils.py):
  #   unset   -> auto-derive + probe          (this file's default)
  #   set URL -> trust it, no probe
  #   set ""  -> explicitly DISABLE the gateway; fall back to serving-endpoints
  # So to pin a gateway, uncomment and set a real URL; do not set it empty.
  # - name: DATABRICKS_GATEWAY_HOST
  #   value: https://<your-workspace>.<region>.databricks.com/ai-gateway
  #
  # Claude Code OTEL export to Unity Catalog. Both vars are needed: the flag
  # below plus CLAUDE_CODE_OTEL_CATALOG_SCHEMA pointing at a <catalog>.<schema>
  # this app's SP can write to (needs USE_SCHEMA + MODIFY + SELECT +
  # CREATE_TABLE). claude_otel.py no-ops when the schema is absent, so the flag
  # alone does nothing. Off by default — the target schema is deployment-specific.
  - name: CLAUDE_CODE_OTEL_ENABLED
    value: "false"
  # - name: CLAUDE_CODE_OTEL_CATALOG_SCHEMA
  #   value: <catalog>.<schema>
  # ─── MLflow tracing (workshop Part 3: observability / policy / cost) ───────
  # Master switch. When true, agent sessions are traced into the experiment
  # /Users/{APP_OWNER}/{DATABRICKS_APP_NAME} for later analytics (harness
  # comparison, token/cost, trace review — see ppcs-challenge Round 3).
  #   COVERAGE (verified against the setup scripts, NOT the marketing copy):
  #     • Claude Code — traced via Stop hook (setup_mlflow.py) AND OTEL→UC above
  #     • Codex       — traced via @mlflow/codex notify hook (setup_codex.py)
  #     • Gemini / Hermes / Pi / OpenCode / Omnigent host — NOT MLflow-traced
  #       (no first-party MLflow hook exists for these CLIs yet). Their
  #       endpoint-level usage/cost is still captured by AI Gateway usage
  #       tracking on the model endpoints (enable per docs/observability).
  - name: MLFLOW_TRACING_ENABLED
    value: "false"
  # ─── spec-B/D: route traces to the self-hosted MLflow OSS app (Lakebase) ─────
  # For network-restricted deployments where the direct `databricks` tracking
  # path is blocked (no zerobus/managed storage). When true, Claude Code (spec-B)
  # and the content-filter proxy for OpenCode/Hermes/Pi (spec-D) send traces to
  # MLFLOW_OSS_URL instead of `databricks`, authed with the app SP's M2M OAuth
  # token. Requires the CoDA app SP to have CAN_USE on the OSS app
  # (grant_mlflow_host.sh). Off by default — set true only where needed.
  #
  # BRAND-NEW-ENV ORDERING: on a fresh workspace the OSS app doesn't exist yet and
  # this app's SP has no CAN_USE grant, so trace writes would fail. Sequence:
  # (1) deploy CoDA with tracking OFF -> (2) deploy the coda-mlflow-oss app
  # -> (3) ./grant_mlflow_host.sh --coda-app <coda> --mlflow-app coda-mlflow-oss
  # -> (4) uncomment MLFLOW_OSS_URL with that app's URL, flip the flag, redeploy.
  #
  # MLFLOW_OSS_URL is left unset: it names a specific app in a specific
  # workspace, and proxy_tracing._enabled() already requires BOTH the flag and a
  # non-empty URL, so an absent URL is a safe no-op.
  - name: MLFLOW_OSS_TRACKING_ENABLED
    value: "false"
  # - name: MLFLOW_OSS_URL
  #   value: https://coda-mlflow-oss-<workspace-id>.<region>.databricksapps.com
  # Capture full prompt/response bodies in proxy trace spans (not just metadata
  # shapes). Default is false (privacy-preserving: n_messages/stop_reason only).
  # Enabled here so the Traces UI shows the actual model conversation. NOTE: this
  # writes potentially sensitive prompt/response content into the OSS trace store.
  - name: PROXY_TRACE_CONTENT
    value: "false"
  # Browser-terminal ceiling. These are a FALLBACK: real traffic runs as
  # Omnigent runners (see OMNIGENT_HOST_MAX_RUNNERS below), and the terminal is
  # mainly used to debug an Omnigent problem — so keep a small reserve here and
  # give the shared 12 GB / 4 vCPU budget to Omnigent. 2 browser + 10 host
  # runners = 12 concurrent agents worst case, which stays inside 12 GB at a
  # moderate ~500 MB/agent (measured: an idle pi agent is ~200 MB). Each session
  # spawns a real coding-agent child (Node/Python). Raise from the resource
  # pressure monitor's per-session RSS, not by guessing.
  - name: MAX_CONCURRENT_SESSIONS
    value: "2"
  # WORKSHOP / shared-app mode (TEMPORARY): disable the single-user owner
  # binding so every attendee can use the terminal as the single injected PAT
  # identity. Isolation then rests entirely on the UC grants of that identity —
  # prefer a dedicated low-privilege SP token, not a personal PAT, and revoke
  # it when the workshop ends. Only opens the terminal + WebSocket; configure-pat
  # and omnigent-host/share stay owner-only. Remove this line to restore
  # single-user security. See _owner_check_disabled() in app.py.
  # Shared workshop mode is intentionally not enabled in the safe default.
  # Enable CODA_DISABLE_OWNER_CHECK only in a dedicated, approved workshop overlay.

  # ─── Omnigent host integration ────────────────────────────────────────────
  # Register this app as a persistent Omnigent host on boot:
  # initialize_app() -> start_host() dials the server as the app SP, so the
  # deployed app self-registers as an always-on host on every restart/redeploy.
  #
  # The host is ON when the two valueFrom resources below are attached to the
  # app (via `make attach-omnigent-resources` or the UI); it's OFF otherwise —
  # an unresolved valueFrom yields an empty string and omnigents_host_enabled()
  # returns False. So the on/off switch is "are the resources attached", not
  # "did you edit this committed file" — which keeps app.yaml generic and
  # git-deploy friendly, and satisfies docs/agent-instructions.md §5 (these must
  # not carry one workspace's values on main).
  # See attach_omnigent_resources.sh.
  #
  # OMNIGENTS_SERVER_URL — the Omnigent server app URL for THIS workspace.
  #   valueFrom: omnigent-server-url  → a Secret resource holding the URL.
  - name: OMNIGENTS_SERVER_URL
    valueFrom: omnigent-server-url
  # OMNIGENTS_WHEEL_SPEC — the UC Volume holding omnigent-*.whl +
  # omnigent_client-*.whl + omnigent_ui_sdk-*.whl (flat, top level).
  #   valueFrom: omnigent-wheels  → a UC Volume resource (resolved to
  #   /Volumes/<catalog>/<schema>/<volume> at runtime). Needs the app SP's
  #   READ_VOLUME grant (grant_omnigent_host.sh).
  - name: OMNIGENTS_WHEEL_SPEC
    valueFrom: omnigent-wheels
  # Force-reinstall the host CLI on boot so a new wheel in the UC Volume is
  # actually installed (uv tool install otherwise no-ops when the tool exists).
  # Set only while rolling out a runner build; remove once the wheel is stable.
  - name: OMNIGENTS_FORCE_REINSTALL
    value: "1"
  # Cap concurrent Omnigent runners this host will spawn. Omnigent sessions
  # arrive over the WSS tunnel and spawn a full agent process each, entirely
  # OUTSIDE MAX_CONCURRENT_SESSIONS (which only gates the browser terminals) —
  # so without this the two paths can together overcommit this box's 12 GB and
  # OOM the single gunicorn worker. This is where the real traffic lives, so it
  # gets the bulk of the budget: 10 host runners + 2 browser sessions = 12
  # concurrent agents worst case (~6.5 GB at a moderate 500 MB/agent; CPU is
  # 3:1 on 4 cores, tolerable for bursty agents that idle between turns). Read
  # by the forked host CLI (OMNIGENT_HOST_MAX_RUNNERS -> _handle_launch
  # backpressure, returns host_at_capacity past the cap); reaches the host
  # subprocess via config_profile_env, which strips only Databricks auth vars.
  # Unset/0 = unlimited. Raise from the resource-pressure monitor's data.
  - name: OMNIGENT_HOST_MAX_RUNNERS
    value: "10"
  #
  # Claude Code / pi fetch their gateway bearer via an apiKeyHelper that mints
  # a fresh app-SP OAuth token per-TTL (spec C), instead of the PAT rotator
  # pushing a static token into settings.json. Requires the [omnigents-host]
  # OAuth profile, which OMNIGENTS_SERVER_URL above causes to be written; the
  # helper falls back to the PAT if it's ever absent.
  - name: ENABLE_SP_APIKEYHELPER
    value: "true"

  # Optional GitHub CLI auth for gh commands in the terminal. Leave unset for
  # public-read-only deployments. For a deployment that must use gh API/repo
  # commands, attach a short-lived/fine-grained token as a Databricks secret
  # resource and uncomment this valueFrom. setup_gh_repos.sh consumes GH_TOKEN
  # and runs `gh auth setup-git`; never commit a token here.
  # - name: GH_TOKEN
  #   valueFrom: github-token

  # Workshop challenge repo (A-R7) — OPT-IN, both vars unset by default.
  # PRIVATE repo cloned from its main branch at container startup into
  # ~/projects/<name>; the attendee terminal opens directly inside it. The read
  # token is a repo-scoped READ-ONLY GitHub token stored in a Databricks secret
  # and attached to the app as a secret resource named "challenge-repo-token".
  # The token is used for the clone only and is stripped from attendee sessions.
  #
  # Uncomment both for a workshop deploy. Leaving them out is a clean no-op:
  # app.py only registers the "challenge" setup step when CHALLENGE_REPO_URL is
  # set, and install_challenge_repo.sh exits 0 when it's unset. Leaving
  # CHALLENGE_REPO_READ_TOKEN's valueFrom in place without the secret attached is
  # what produces the "error resolving resource challenge-repo-token" boot
  # warning, so both stay commented together.
  # - name: CHALLENGE_REPO_URL
  #   value: https://github.com/<org>/<challenge-repo>
  # - name: CHALLENGE_REPO_READ_TOKEN
  #   valueFrom: challenge-repo-token

  # ─── Enterprise security knobs ────────────────────────────────────────────
  # Stable Flask session-cookie key. Without this, the key is regenerated on
  # every worker restart and existing session cookies get invalidated. Wire to
  # a Databricks secret in production (see app.yaml.template for syntax).
  # - name: FLASK_SECRET_KEY
  #   valueFrom: coda-prod/flask-secret-key
  #
  # Set to "true" to disable CoDA's outbound telemetry to Databricks (event-name
  # pings via the SDK User-Agent — see telemetry.py). Regulated deployments
  # (banks, retail PII, etc.) typically need this off so the third-party-risk
  # register has no undisclosed data flow.
  # - name: CODA_TELEMETRY_DISABLED
  #   value: "true"

  # ─── Enterprise mode (proxy / registry redirects) ────────────────────────
  # Uncomment and set the env vars below to run CoDA in locked-down enterprise
  # networks. All are optional — set only what your environment requires.
  # See docs/enterprise.md for the full contract, JFrog mirror conventions,
  # and troubleshooting.
  #
  # Master switch — when true, logs a startup banner and warns on missing
  # recommended mirrors. Behavioural overrides are still driven by the
  # individual vars below.
  # - name: ENTERPRISE_MODE
  #   value: "true"
  #
  # Corporate egress proxy + TLS root CA.
  # - name: HTTPS_PROXY
  #   value: http://proxy.corp.example.com:3128
  # - name: NO_PROXY
  #   value: localhost,127.0.0.1,.corp.example.com
  # - name: REQUESTS_CA_BUNDLE
  #   value: /etc/ssl/certs/corp-root.pem
  # - name: NODE_EXTRA_CA_CERTS
  #   value: /etc/ssl/certs/corp-root.pem
  #
  # Internal PyPI proxy (e.g. JFrog pypi-virtual).
  # - name: UV_DEFAULT_INDEX
  #   value: https://jfrog.example.com/api/pypi/pypi-virtual/simple/
  #
  # Internal npm registry. NPM_TOKEN should be a Databricks secret reference.
  # - name: NPM_REGISTRY
  #   value: https://jfrog.example.com/api/npm/npm-virtual/
  # - name: NPM_TOKEN
  #   valueFrom: <secret>
  #
  # GitHub release mirror — must serve the same path tail as github.com.
  # - name: GITHUB_RELEASE_MIRROR
  #   value: https://jfrog.example.com/artifactory/github-mirror
  # - name: GITHUB_API_BASE
  #   value: https://ghe.example.com/api/v3
  #
  # Claude installer + Hermes package spec — override when the upstream URLs
  # are firewalled.
  # - name: CLAUDE_INSTALLER_URL
  #   value: https://mirror.example.com/claude-install.sh
  # - name: HERMES_PIP_URL
  #   value: hermes-agent==1.2.3
  #
  # Drop public MCP servers (DeepWiki, Exa) entirely by setting these to "".
  # - name: DEEPWIKI_MCP_URL
  #   value: ""
  # - name: EXA_MCP_URL
  #   value: ""