Ollama recently added Responses API support via its OpenAI-compatible
endpoint (/v1/responses). This adds a proxy endpoint to the Ollama
router that forwards requests to Ollama's /v1/responses, applying
the same model resolution, access control, and prefix_id handling
used by the existing /v1/chat/completions and /v1/messages proxies.
Uses a typed ResponsesForm Pydantic model with required model field
and extra='allow' for forward compatibility, consistent with other
endpoint schemas in the file.
This allows API consumers (Codex, Claude Code, etc.) to use the
Responses API directly with Ollama-hosted models without requiring
a separate OpenAI-compatible connection.
Azure offers two URL formats: the legacy deployment-based format
(/openai/deployments/{model}/...) and the newer v1 format
(/openai/v1/...) where the model stays in the payload body and no
api-version query parameter is needed.
Previously, the code always ran convert_to_azure_payload which
rewrites the URL to the deployment format, causing 404 errors for
users with v1-style base URLs. Now, when the base URL contains
'/openai/v1', we skip deployment URL construction and route
directly.
Applied consistently across all three Azure routing paths:
generate_chat_completion, /responses proxy, and generic proxy.
The built-in search_web tool hardcoded count=5 as the default,
ignoring the admin-configured WEB_SEARCH_RESULT_COUNT setting.
When the LLM did not specify a count, the tool always returned 5
results regardless of admin configuration.
Now the tool defaults to the admin-configured value when the LLM
omits the count parameter, while still capping LLM-requested
values at the admin maximum to prevent abuse.
Closes#23485
Timothy Jaeryang Baek
Algorithm5838andGitHub
Classic298andGitHub
Aleix DorcaandGitHub
G30andGitHub
_00_andGitHub
ShirasawaandGitHub