Three related fixes around custom env-var-name hints for provider entries.
1. Azure Anthropic path: previously hardcoded to look up AZURE_ANTHROPIC_KEY
then ANTHROPIC_API_KEY with no way to override. If a user wrote
model:
provider: anthropic
base_url: https://my-resource.services.ai.azure.com/anthropic
key_env: MY_CUSTOM_KEY
the key_env hint was silently ignored and the resolver raised
'No Azure Anthropic API key found' even when MY_CUSTOM_KEY was set
in the environment. The runtime now checks, in order:
(1) os.getenv(model_cfg.key_env)
(2) os.getenv(model_cfg.api_key_env) # docs alias
(3) model_cfg.api_key # inline value
(4) AZURE_ANTHROPIC_KEY # historical default
(5) ANTHROPIC_API_KEY # historical default
Error message updated to mention key_env as an option.
2. Provider entry normalizer (_normalize_custom_provider_entry): accept
'api_key_env' as a snake_case alias for 'key_env', and 'apiKeyEnv' as a
camelCase alias. Adds both to the _KNOWN_KEYS set so the 'unknown
config keys ignored' warning doesn't fire on valid configs.
3. _VALID_CUSTOM_PROVIDER_FIELDS: add 'key_env'. That set documents
supported custom_providers entry fields; it was drifting from reality
since key_env has been read at runtime in auxiliary_client.py,
runtime_provider.py, and main.py for a while.
Docs: website/docs/guides/azure-foundry.md now uses the canonical key_env
field and notes that api_key_env / keyEnv / apiKeyEnv are accepted as
aliases.
Validation: 12 new tests in test_runtime_provider_resolution.py covering
all 5 Azure Anthropic resolution paths + 4 normalizer-alias tests. Pass
rate across related suites (165 + 46 tests): 100%.
Co-authored-by: teknium1 <teknium@users.noreply.github.com>
Azure Foundry deploys GPT-5.x, codex-*, and o1/o3/o4 reasoning models as
Responses-API-only. Calling /chat/completions against these deployments
returns 400 'The requested operation is unsupported.', which broke any
user who ran 'hermes model' on Azure, picked a gpt-5/codex deployment,
and kept the default api_mode: chat_completions. Verified in a user
debug bundle on 2026-04-26: gpt-5.3-codex failed on synopsisse.openai.azure.com
with that exact payload while gpt-4o-pure on the same endpoint worked.
Adds azure_foundry_model_api_mode(model_name) that returns
codex_responses when the model name starts with gpt-5, codex, o1, o3,
or o4 — otherwise None so chat_completions / anthropic_messages stay
untouched for gpt-4o, Llama, Claude-via-Anthropic, etc.
Resolver (both the direct Azure Foundry path and the pool-entry path)
consults it and upgrades api_mode unless the user explicitly picked
anthropic_messages. target_model (from /model mid-session switch)
takes precedence over the persisted default so switching from gpt-4o
to gpt-5.3-codex routes correctly before the next request.
Docs: correct the azure-foundry guide which previously claimed Azure
keeps gpt-5.x on chat completions — that was only true for early Azure
OpenAI, not Azure Foundry codex/o-series deployments.
Tests: 14 unit tests for azure_foundry_model_api_mode + 6 integration
tests in TestAzureFoundryResolution covering Bob's exact scenario,
target_model override, anthropic_messages guard, and o3-mini.
- New website/docs/guides/azure-foundry.md covering both OpenAI-style
and Anthropic-style endpoints, auto-detection behaviour, gpt-5.x
routing, /v1 stripping, api-version query forwarding, and the
provider: anthropic + Azure URL alternative setup.
- environment-variables.md picks up AZURE_FOUNDRY_API_KEY,
AZURE_FOUNDRY_BASE_URL, AZURE_ANTHROPIC_KEY.
- cli-commands.md includes azure-foundry in the provider choices list.
- configuration.md lists azure-foundry among auxiliary-task providers.
- sidebars.ts wires the new guide into the Guides section.
- scripts/release.py AUTHOR_MAP entries for TechPrototyper,
HangGlidersRule (noreply), and pein892 so the contributor-attribution
CI check does not reject the salvage.
