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Authoritative reference for Hyperloom credentials and environment configuration. Covers single-gateway and split-entrypoint LLM setup, OPENAI_API_KEY, path variables, and hosted mode.
Hyperloom, authentication, credentials, OPENAI_API_KEY, OPENAI_BASE_URL, ANTHROPIC_BASE_URL, environment variables, LLM gateway, ROCm, AMD GPU, API key, configuration

Hyperloom authentication and credentials

This is the single authoritative reference for credentials and environment configuration in Hyperloom. If any other document (README.md, src/hyperloom/inference_optimizer/SKILL.md, docs/conceptual/kernel-execution-path.md, src/hyperloom/agents/robustness/SKILL.md) appears to contradict this page, this page wins. Open an issue against the contradicting file.

Hyperloom needs at most two classes of configuration:

  • LLM gateway credentials: At least one provider side, configured with both its base URL and its own key (see LLM gateway credentials).
  • Path / workspace layout: Run bare-metal setup from the installed Hyperloom target directory. You normally only set USER_DATA_PATH (writable artifact root; default /workspace/hyperloom); setup writes the runtime env files and updates .env.

Hyperloom never borrows one provider's key or endpoint for the other. A side is configured by ANTHROPIC_BASE_URL + ANTHROPIC_API_KEY, or by OPENAI_BASE_URL + OPENAI_API_KEY, or both. A side you leave unset simply disables the features that speak its protocol; a half-configured side fails preflight rather than being silently completed from the other provider.

The only values still filled for you are the internal LLM aliases (LLM_API_KEY, AMD_LLM_API_KEY, LLM_API_BASE), which the inference optimizer CLI preflight copies from the OpenAI side. You do not set those by hand. GEAK_API_KEY / GEAK_BASE_URL are never filled from either side: GEAK runs on the Anthropic side, so set them only to point GEAK at something else.

Credential precedence

Hyperloom reads credentials from two places, in order:

Source When used
Process environment (export FOO=...) Always — wins unconditionally.
$REPO_ROOT/.env Only for keys missing from the process environment.

Shell environment variables always win over .env. Both the inference optimizer CLI dotenv loader and src/hyperloom/agents/kernel/scripts/install.sh honor this rule. Do not manually source .env from chat — it inverts the precedence and can overwrite an exported key with a stale value from disk.

A key is considered "set" in .env if the line is uncommented and the value is non-empty. Empty / commented lines are ignored; the shell-exported value (if any) is kept.

If neither source supplies a usable LLM endpoint (at least one of OPENAI_BASE_URL / ANTHROPIC_BASE_URL and at least one of OPENAI_API_KEY / ANTHROPIC_API_KEY / ANTHROPIC_AUTH_TOKEN / DEEPSEEK_API_KEY), the CLI fails fast at startup with a message naming the missing pieces.

Preflight also rejects a mispaired configuration: a base URL whose only key belongs to the other provider, or a key whose only endpoint would come from the other provider. Hyperloom would otherwise send that key to a foreign host. Give each side its own *_BASE_URL and key, or drop the foreign key.

LLM gateway credentials

A provider side is configured by both its base URL and its own key. Exactly three shapes are accepted; anything else fails preflight.

Shape Set Effect
OpenAI side only OPENAI_BASE_URL + OPENAI_API_KEY Codex runs; Claude and GEAK are disabled
Anthropic side only ANTHROPIC_BASE_URL + ANTHROPIC_API_KEY Claude and GEAK run; Codex (OpenAI-protocol) is disabled
Both sides all four, each side self-consistent Everything runs

One gateway serving both providers is the third shape: point both base URLs at it and set both keys, even when the key value is the same.

Variable Issuer Where to obtain Format
OPENAI_BASE_URL Your LiteLLM gateway https://<your-gateway-host>/api/v1/llm-proxy/v1 (adjust to your gateway) URL ending in /v1
OPENAI_API_KEY Your LiteLLM gateway Your gateway's LLM Gateway page ak-...
ANTHROPIC_BASE_URL Your gateway / Anthropic Same gateway without the trailing /v1, or https://api.anthropic.com URL
ANTHROPIC_API_KEY Your gateway / Anthropic Your gateway's page, or the Anthropic console ak-... / sk-ant-...

Downstream tooling reads the side it belongs to:

  • GEAK runs Claude Code, so it uses the Anthropic-side base URL + key plus GEAK_CLAUDE_MODEL. An OpenAI-only deployment cannot start it.
  • Kernel tools inherit the OpenAI-side credential from preflight (LLM_API_KEY / AMD_LLM_API_KEY).
  • Orchestration Claude uses the Anthropic-side base URL + key, including the generated ~/.claude/config.json primary key.
  • Robustness-agent uses the OpenAI side for the optional LLM RCA engine.
  • Critic-agent uses the OpenAI side for KB summary / synthesis calls.

You never need to copy a key into the internal LLM slots in .env; preflight fills those from the OpenAI-side key. Preflight does not cross-fill the per-provider primary keys (OPENAI_API_KEY / ANTHROPIC_API_KEY / ANTHROPIC_AUTH_TOKEN), and an explicitly set provider key is never overwritten.

The recommended setup, run once per shell:

cd "$REPO_ROOT"
cp .env.template .env
# Edit .env: set the base URL + key for each side you want enabled.

For one-off use without writing to disk:

# One gateway serving both providers: configure both sides against it.
export OPENAI_BASE_URL=https://<your-gateway-host>/api/v1/llm-proxy/v1
export OPENAI_API_KEY=ak-your-gateway-apikey
export ANTHROPIC_BASE_URL=https://<your-gateway-host>/api/v1/llm-proxy
export ANTHROPIC_API_KEY=ak-your-gateway-apikey

Dropping the two ANTHROPIC_* lines is also valid — it just disables the Claude-side features.

Split entrypoints (native Anthropic + OpenAI)

Use when Claude and GPT live on different upstream vendors or gateways. Set each side explicitly.

Variable Side Example
ANTHROPIC_BASE_URL Claude https://api.anthropic.com
ANTHROPIC_API_KEY Claude sk-ant-...
OPENAI_BASE_URL Codex/GPT https://api.openai.com/v1
OPENAI_API_KEY Codex/GPT sk-...

Preflight resolves (anthropic_base_url, openai_base_url) independently: each side is its own explicit base URL, or the official SDK endpoint implied by that side's own key, or empty. Claude CLI auth uses ANTHROPIC_API_KEY (or ANTHROPIC_AUTH_TOKEN); GEAK uses the same Anthropic-side URL and key. Neither side is ever completed from the other.

To pin models in split mode:

export CLAUDE_MODEL=orchestration-model-id-on-the-anthropic-side
export CODEX_MODEL=model-id-on-the-openai-side

Non-AMD / self-hosted gateway

Point OPENAI_BASE_URL and OPENAI_API_KEY (or the split keys above) at your own LiteLLM-compatible gateway (Vultr, TensorWave, on-prem, etc.) and pin models your gateway actually serves:

export CLAUDE_MODEL=your-gateway-orchestration-model
export CODEX_MODEL=your-gateway-kernel-model

Custom orchestration models are allowed by default: preflight validates the chosen CLAUDE_MODEL against your gateway's /models catalog. To restore the stricter AMD Claude allowlist (claude-opus-5 preferred, claude-opus-4-8 / claude-opus-4-7 / claude-opus-4-6 fallback), set INFERENCE_OPTIMIZER_ALLOW_CUSTOM_ORCH_MODEL=0.

Optional credentials

The following credentials are optional and only needed for specific backends.

LLM RCA in robustness-agent

robustness-agent's LLM root-cause-analysis engine activates when an LLM base URL and API key are available (normally through the aliases above). Set ROBUSTNESS_LLM_RCA_DISABLED=1 to force-disable it even when credentials are present.

Path environment

These are not secrets. You normally do not hand-export INFERENCEX_PATH or TRACELENS_ROOT — install.sh and its chained kernel-agent installer clone and pin the open-source checkouts when missing. Runtime paths are persisted into .env by the installer; the CLI preflight loads them and derives PATH / LD_LIBRARY_PATH from ROCM_PATH / VIRTUAL_ENV / VLLM_VENV_ROOT at launch, so no separate file needs sourcing.

Workspace variables

Variable Set by operator? Default Description
USER_DATA_PATH recommended /workspace/hyperloom Writable root for session dirs, runtime/, logs/, optimizer artifacts. Replaces retired WORKSPACE_PATH / INFERENCE_OPTIMIZER_SESSION_DIR.
REPO_ROOT rarely auto-detected from script location This Hyperloom checkout. Locates .env, skills, scripts.
KERNEL_AGENT_ENV rarely $USER_DATA_PATH/runtime/kernel-agent.env.sh Output of install.sh; exports resolved paths and LLM aliases.
HYPERLOOM_RUNTIME_DIR rarely $USER_DATA_PATH/runtime Shared runtime tree (env files, GEAK config, Recipe KB bookkeeping).

Dependency checkout variables

Open-source dependencies default under HYPERLOOM_CACHE_DIR ($REPO_ROOT/.cache), cloned per revision as <name>@<sha>. The cache is repo-local and writable, so open-source runs need no privileged /opt mount.

Leave these variables unset unless you maintain your own checkouts. An explicit path pointing at a missing directory fails preflight.

Variable Set by operator? Default / auto-clone target Description
HYPERLOOM_CACHE_DIR rarely $REPO_ROOT/.cache Writable, repo-local root for open-source deps (TraceLens, InferenceX, GEAK), cloned per revision as <name>@<sha>.
INFERENCEX_PATH optional override ${HYPERLOOM_CACHE_DIR:-$REPO_ROOT/.cache}/InferenceX@<sha> SemiAnalysisAI/InferenceX for baseline and target analysis; the inference_optimizer installer (src/hyperloom/inference_optimizer/assets/install.sh) clones it when unset.
TRACELENS_ROOT optional override ${HYPERLOOM_CACHE_DIR:-$REPO_ROOT/.cache}/TraceLens@<sha> AMD-AGI/TraceLens for profiling and kernel detection; the kernel-agent installer clones and pins it when unset.
TRACELENS_INTERNAL_ROOT optional unset (MAF measured on-device) Optional internal TraceLens extension that backfills MAF without an on-device benchmark. When unset, Hyperloom measures MAF on an idle GPU (microbenchmark) — roofline gap / MI355+ MAF analysis is still produced, just measured locally. Hyperloom never clones it.
MAGPIE_PATH optional override Resolved from installed Magpie package Magpie package root for benchmark wrappers and patch inspection. install.sh pip-installs Magpie from MAGPIE_PACKAGE_SPEC when it is not importable. 
`INFERENCE_OPTIMIZER_SESSION_DIR` is no longer read. `WORKSPACE_PATH` is
legacy-only and still used in narrow fallbacks; prefer `USER_DATA_PATH`. See
[Upgrade Hyperloom version](upgrade.md).

Direct upstream wiring

Claude, Codex, and GEAK talk to the configured upstream gateway directly. The AMD primus-safe gateway accepts both header styles natively.

At preflight, the inference optimizer CLI:

  • Resolves Anthropic and OpenAI base URLs.
  • Writes ~/.claude/config.json: customApiUrl is set to the resolved Anthropic-side base URL, and primaryApiKey to the Anthropic-side key (explicit ANTHROPIC_API_KEY / ANTHROPIC_AUTH_TOKEN wins, else OPENAI_API_KEY).
  • Fills the internal LLM aliases from the OpenAI-side key for child processes; the per-provider primary keys and the GEAK aliases are not filled.

401 recovery:

  1. Confirm OPENAI_BASE_URL / ANTHROPIC_BASE_URL and the matching API key are set and current.
  2. Re-run preflight (any python -m hyperloom.inference_optimizer.cli ... command) or bash "$REPO_ROOT/src/hyperloom/agents/kernel/scripts/install.sh" --check-only.
  3. Inspect ~/.claude/config.json — customApiUrl must point at the resolved Anthropic-side upstream gateway.

GEAK uses the generated runtime configuration directly.

Hosted mode (Primus-Claw)

When you launch through the hosted Hyperloom UI, you do not need to set any of the variables above by hand. The sandbox initializer binds your LLM Gateway key as OPENAI_API_KEY and ANTHROPIC_API_KEY, populates the path env from sandbox defaults, and runs install/preflight so downstream tools inherit the gateway URL and aliases.

FAQ

These questions cover common credential configuration scenarios.

Q: Do I have to put my key in .env?

No. Exporting credentials in your shell is sufficient. .env is a convenience for persistence between shells.

Q: I exported OPENAI_API_KEY but .env has a different value. Which wins?

The exported (shell) value wins. .env only fills missing keys.

Q: Can I use separate provider keys instead of one shared gateway key?

Yes, in split-entrypoint mode: set ANTHROPIC_API_KEY + OPENAI_API_KEY (and the matching base URLs) for each side. See Split entrypoints.

Q: Where do provider-specific API keys come from?

From each side's own variable: the OpenAI side reads OPENAI_API_KEY, the Anthropic side reads ANTHROPIC_API_KEY (or ANTHROPIC_AUTH_TOKEN). Neither is derived from the other. One gateway serving both protocols still needs both set, even when the value is identical.

Q: My organization rotates the LLM gateway key weekly. How?

Re-export the key(s) and re-run install.sh (idempotent). Preflight and all aliases pick up the new value on the next CLI launch.

More info

Use these resources for related configuration and reference information: