Hamza Rashid ab70449427 feat(deployments): filter WXO agent list to drafts when load_from_provider=true (#12745)
* feat(deployments): filter WXO list to drafts and expose environments as a list

When `load_from_provider=true` on `GET /deployments`, restrict watsonx
Orchestrate results to draft agents only and surface their environment
metadata as `environments: list[str]` on both the list and status
responses.

- Add `BaseDeploymentMapper.resolve_load_from_provider_deployment_list_params`
  as an extension point; override in the WXO mapper to always inject
  `{"environment": "draft"}` when listing from the provider.
- In the WXO adapter's `list`, pop `environment` from `provider_params`
  before building the WXO query (it is not a native WXO query param) and
  apply it as a client-side membership filter.
- Skip forwarding `deployment_type` from the endpoint on the
  `load_from_provider` path; WXO only exposes agent deployments today and
  other list logic does not rely on it.
- Replace the single `environment` string with `environments: list[str]`
  in list and status `provider_data`. This is a breaking change to the
  provider-backed shape, accepted because the feature is still behind a
  flag.
- Introduce `get_agent_environments` with fail-fast access (no silent
  fallbacks/normalization) so WXO contract breaks surface immediately,
  and drop the now-unused `derive_agent_environment` categorizer.

Tests updated to cover the new filter, the list shape, the status shape,
and the fail-fast semantics of the helper.

* [autofix.ci] apply automated fixes

---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
2026-04-20 17:04:27 +00:00
2025-03-20 00:05:55 +00:00
2024-06-04 09:26:13 -03:00
2026-04-13 23:23:37 +00:00

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Langflow is a powerful platform for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.

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