Commit Graph
11 Commits
Author SHA1 Message Date
SergeyMenshykhandCopilot d6bd79fcb8 Use AzureCliCredential in Foundry toolbox skills sample for consistency
Replace DefaultAzureCredential with AzureCliCredential to match the
credential convention used in all other samples.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-02 10:31:33 +01:00
SergeyMenshykhandCopilot 6e8f7aa03f Address PR review comments: rename to MCP* convention, fix error handling and samples
- Rename McpSkill/McpSkillResource/McpSkillsSource to MCPSkill/MCPSkillResource/MCPSkillsSource
- Add data-URI prefix stripping for blob resource decoding
- Let non-McpError exceptions propagate from get_resource()
- Fix contradictory test comment
- Use interactive input() in mcp_based_skill sample
- Remove misleading sample output block

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-29 11:23:59 +01:00
SergeyMenshykhandCopilot b1b79d5cca Add MCP-based skills discovery (McpSkill, McpSkillsSource, McpSkillResource)
Implement Agent Skills discovery over MCP following the SEP-2640 convention:
- McpSkillsSource: reads skill://index.json to discover skills served by an MCP server
- McpSkill: lazily fetches SKILL.md content via resources/read on demand
- McpSkillResource: wraps MCP resource results (text and binary)
- Path traversal protection in get_resource for defense in depth
- Samples for Foundry Toolbox and standalone MCP skills server
- Comprehensive unit tests (514 lines)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-28 19:35:34 +01:00
d5c07f2623 Python: feat(foundry): add to_prompt_agent / deploy_as_prompt_agent (experimental) (#5959)
* feat(foundry): add experimental to_prompt_agent converter

Adds `to_prompt_agent(agent)`, an experimental converter
(`ExperimentalFeature.TO_PROMPT_AGENT`) that turns an Agent Framework
`Agent` into a Foundry `PromptAgentDefinition` ready to publish via
`AIProjectClient.agents.create_version(...)`.

Behaviour:

* `agent.client` must be a `FoundryChatClient` (or subclass); otherwise
  `TypeError` is raised. The model deployment name is lifted from the
  bound client so the same Agent definition used for local runs can be
  published as a hosted prompt agent without restating the model.
* Foundry SDK tool instances (from `FoundryChatClient.get_*_tool()`) are
  passed through unchanged. AF `FunctionTool`s (and `@tool`-decorated
  callables) are emitted as Foundry `FunctionTool` declarations.
* Local AF MCP tools cannot be expressed in a `PromptAgentDefinition`;
  the converter raises `ValueError` and points at
  `FoundryChatClient.get_mcp_tool()` for hosted MCP servers.
* The converter walks both `agent.default_options["tools"]` and
  `agent.mcp_tools` because `normalize_tools()` splits local MCP off
  into its own list.

Re-exported through the `agent_framework.foundry` lazy-loading namespace
(updates both `__init__.py` and the `__init__.pyi` type stub).

Adds a portable-agent sample showing the same `Agent` driven through
both `agent.run(...)` and `to_prompt_agent(agent)`, and a README section
covering the new converter.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* chore(samples): remove snippet tags from portable agent sample

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* chore(samples): inline FoundryChatClient and enable prompt-agent publish

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* chore(samples): drop async credential context manager

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* docs(foundry): trim README to_prompt_agent example to publish-only flow

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* docs(foundry): note FoundryAgent runs @tool callables for deployed prompt agents

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix(foundry): address review comments on to_prompt_agent converter

* Construct `PromptAgentDefinition` `Tool` from a dict via `**tool_item`
  unpacking rather than the positional Mapping constructor \u2014 cleaner and
  matches the typical Pydantic / Azure SDK pattern.
* Drop the redundant `isinstance(mcp_tool, MCPTool)` guard in
  `_convert_tools`; the parameter is already typed `Iterable[MCPTool]` so
  the second `raise` was unreachable. The remaining single `raise`
  fires for every entry as intended.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix(foundry): match Agent.__init__ model resolution in to_prompt_agent

* Read the model from `agent.default_options.get("model")` first,
  falling back to `agent.client.model`. This mirrors the order
  `Agent.__init__` uses (`_agents.py:740`) when assembling
  default_options, so the model the agent runs with is the same model
  the converter publishes \u2014 e.g. when the caller passes
  `default_options={"model": "..."}` to override the bound client.
* Updated the missing-model error message to point at both the client
  and the default_options paths.
* Added tests:
  * tool-only agent with no `instructions` produces a definition
    where `instructions` is `None` and is omitted from the dict
    payload (`Agent.__init__` strips None values from default_options
    before storing them).
  * `default_options['model']` wins over the bound client's model.
  * Fallback to client.model when default_options has no model.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* feat(foundry): add deploy_as_prompt_agent helper + samples

Adds `deploy_as_prompt_agent(agent)`, a convenience wrapper around
`to_prompt_agent` that reuses the bound FoundryChatClient's project
client to call `project_client.agents.create_version(...)`. Defaults
`agent_name` / `description` from `agent.name` / `agent.description`
so the Agent stays the single source of truth.

* Exposed from `agent_framework_foundry` and the lazy-loading
  `agent_framework.foundry` namespace (including the .pyi stub).
* Marked experimental with the existing
  `ExperimentalFeature.TO_PROMPT_AGENT` tag.
* Tests cover the happy path, name/description defaulting, explicit
  override, no-name error, metadata + description forwarding, extra
  kwargs passthrough, and the experimental metadata.

Samples:
* Renamed the existing sample to `creating_prompt_agents.py`, drops
  'portable' wording, presents `deploy_as_prompt_agent` first as the
  recommended path and `to_prompt_agent` + `AIProjectClient` as the
  two-step alternative, and adds a cleanup step that deletes the
  published agent so re-runs stay idempotent.
* New `using_prompt_agents.py` shows the end-to-end loop: deploy the
  agent, connect to it with `FoundryAgent` passing the same local
  `@tool` callable, run a query against the deployed prompt agent,
  then clean up.

README updated to introduce `deploy_as_prompt_agent` as the
recommended path and link to both runnable samples.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix(foundry): restore missing-model ValueError in to_prompt_agent

The check was accidentally dropped while reworking docstrings in the
previous commit. Test `test_to_prompt_agent_rejects_missing_model`
exercises this path and was failing on CI as a result.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* refactor(foundry): rename deploy_as_prompt_agent -> create_prompt_agent

Renames the helper across the foundry package, core lazy-loader stubs,
tests, README and samples. The new name better matches the action
performed (a prompt-agent definition is created in Foundry) and is
consistent with the surrounding ''create_*'' API surface.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* refactor(foundry): drop create_prompt_agent, enrich to_prompt_agent params

Remove the create_prompt_agent helper and consolidate on to_prompt_agent.
Expose every PromptAgentDefinition parameter that has either an Agent
Framework equivalent (sourced from default_options) or no equivalent
(accepted as a keyword argument).

* default_options-sourced (with kwarg overrides):
  temperature, top_p, string tool_choice
* kwarg-only Foundry knobs:
  reasoning, text, structured_inputs, rai_config, ToolChoiceParam tool_choice

Precedence is always: explicit keyword > default_options entry > unset.

Tests cover every path (defaults, default_options, kwargs, kwarg override).
Samples and README rewritten around the enriched to_prompt_agent.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* refactor(foundry): single source of truth for prompt-agent options

Stop duplicating the generation-parameter surface between FoundryChatOptions
and to_prompt_agent. Translate every field with an Agent Framework equivalent
(temperature, top_p, tool_choice, reasoning, response_format/text/verbosity)
from agent.default_options via a new RawFoundryChatClient helper
_prepare_prompt_agent_options. Only Foundry-specific fields with no AF
equivalent — structured_inputs and rai_config — remain as keyword arguments
on to_prompt_agent.

- tool_choice is dropped when there are no tools (mirrors _prepare_options
  semantics and avoids polluting tool-less prompt agents with Agent.__init__'s
  'auto' default).
- response_format Pydantic models route through
  openai.lib._parsing._responses.type_to_text_format_param; dict shapes go
  through the existing _prepare_response_and_text_format helper.
- default_options is not mutated; text dict is defensively copied.

Tests, README, and creating_prompt_agents.py sample updated to reflect the
new single-source model.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* docs(foundry): consolidate prompt-agent sample

Drop creating_prompt_agents.py (the publish-only variant) and rename
using_prompt_agents.py to foundry_prompt_agents.py so the single sample
covers the full convert -> publish -> connect -> run loop. Update the
README link list accordingly.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* docs(foundry): run local Agent + deployed agent in same sample

Add an agent.run() call against the local Agent before publishing, then run
the deployed prompt agent on the same query. Expand the docstring with a
compare-and-contrast covering runtime/latency, configurability, and
persistence/sharing differences between the two execution paths.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* test(foundry): cover conflicting response_format + text.format in to_prompt_agent

Exercises the ValueError path when a Pydantic response_format would overwrite
an explicit text.format mapping with a different shape. Lifts _chat_client.py
coverage from 89% to 90%.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* refactor(foundry): move _prepare_prompt_agent_options into _to_prompt_agent

Lift the translation helper off RawFoundryChatClient and into the
_to_prompt_agent module as a module-private function that takes the client
as its first argument. The chat client no longer needs to carry a method
whose only consumer is the prompt-agent converter, while still serving as
the source of the request-path helper (_prepare_response_and_text_format)
that the converter reuses for dict-shaped response_format values.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* docs(python): codify GA terminology + post-run docs review

Add two pieces of guidance to python/AGENTS.md:

* Terminology - reserve 'GA' for hosted services; use 'released' or 'stable'
  for Agent Framework code/features to match the feature-lifecycle stages.
* Maintaining Documentation - review AGENTS.md and skills at the end of every
  run and update any guidance the conversation made stale; before adding a
  new principle, ask the user to confirm it should be captured.

Also pulls in a docstring fix in foundry_prompt_agents.py that swaps the
stray 'GA' for 'released', applying the new terminology rule.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* address PR review: strict=True default, Tool._deserialize dispatch, sample cleanup safety

- FunctionTool published as strict=True so the server-side schema validation
  matches what the local FoundryAgent(tools=[same_callable]) dispatcher
  enforces. AF FunctionTool has no 'strict' attribute, so the safer default
  is used uniformly instead of silently downgrading to a permissive contract.
- _validate_mapping_tool now dispatches through ProjectsTool._deserialize so
  dict-shaped tools rehydrate to the concrete subclass (FunctionTool,
  WebSearchTool, ...) via the 'type' discriminator instead of returning a
  generic Tool. Added a test that asserts isinstance(WebSearchTool) and a
  new test for the function-typed dict path.
- foundry_prompt_agents.py sample now wraps credential + project client in
  async with and the create_version / run flow in try/finally so a failure
  on connect or run still deletes the published prompt agent rather than
  leaving an orphaned, billable resource in the user's Foundry project.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix(ci): correct linkspector ignorePattern typo (./pulls -> ./pull)

GitHub PR URLs use the singular segment /pull/N (compare to /issues/N
for issues). The existing './pulls' ignore pattern never matched
anything as a result, so legitimately stale PR links (e.g. PRs deleted
from forks) surface as linkspector failures on unrelated PRs.

This is the same convention the './issues' rule above already follows.
Fixes the markdown-link-check failure on a dangling link in
dotnet/src/Microsoft.Agents.AI.DurableTask/CHANGELOG.md.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-27 13:31:21 +00:00
e56e6dad4d Python: Remove bespoke Foundry toolbox helpers; standardize on MCP for toolbox consumption (#5671)
* Remove Foundry toolbox helpers; standardize on MCP for toolbox consumption

- Remove RawFoundryChatClient.get_toolbox() and its fetch_toolbox import
- Remove fetch_toolbox, select_toolbox_tools, get_toolbox_tool_name,
  get_toolbox_tool_type, FoundryHostedToolType, ToolboxToolSelectionInput
  from agent_framework_foundry._tools
- Remove ExperimentalFeature.TOOLBOXES from _feature_stage.py (no consumers)
- Drop toolbox re-exports from agent_framework_foundry/__init__.py and
  agent_framework.foundry namespace
- Update _sanitize_foundry_response_tool docstring to remove toolbox framing;
  sanitization logic itself is unchanged
- Update _agent.py docstring: 'toolbox-fetched MCP' → 'hosted MCP'
- Delete tests/test_toolbox.py (all tests covered removed helpers)
- Update test_foundry_chat_client.py: rename/redoc tests that mentioned
  toolbox but test sanitization that remains
- Delete foundry_chat_client_with_toolbox.py (bespoke toolbox API sample)
- Delete foundry_toolbox_context_provider.py (relied on select_toolbox_tools)
- Rename foundry_chat_client_with_toolbox_mcp.py →
  foundry_chat_client_with_toolbox.py (canonical MCP pattern)
- Rewrite 04_foundry_toolbox/main.py to use MCPStreamableHTTPTool
- Update provider/README, context_providers/README, 04_foundry_toolbox/README

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix(samples): update 06_files sample to consume toolbox via MCP (#5670)

Replace removed get_toolbox/select_toolbox_tools APIs with
MCPStreamableHTTPTool, using allowed_tools=["code_interpreter"] to
select only the code interpreter from the toolbox endpoint.

Update .env.example and README to use FOUNDRY_TOOLBOX_ENDPOINT
instead of TOOLBOX_NAME.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix(foundry): remove non-existent toolbox helper APIs from README (#5670)

Remove the 'fetch, optionally filter, and pass tools directly' pattern
from the FoundryChatClient toolbox documentation, as select_toolbox_tools
and get_toolbox were removed. Only the MCP endpoint pattern is documented.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix(foundry): remove residual toolbox docstring references and reproduction report

Remove REPRODUCTION_REPORT.md (workflow artifact that should not be committed),
and update two remaining docstring references that still said 'toolbox reads'
/'toolbox definition' after the toolbox helpers were removed.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: Remove bespoke Foundry toolbox helpers; standardize on MCP for toolbox consumption

Fixes #5670

* fix(#5670): resolve toolbox endpoint from TOOLBOX_NAME fallback; add namespace regression tests

- Add _resolve_toolbox_endpoint() helper in 04_foundry_toolbox/main.py and
  06_files/main.py that prefers FOUNDRY_TOOLBOX_ENDPOINT but falls back to
  deriving the MCP URL from FOUNDRY_PROJECT_ENDPOINT + TOOLBOX_NAME — fixing
  the startup KeyError when agents are deployed via azd provision (which injects
  TOOLBOX_NAME, not FOUNDRY_TOOLBOX_ENDPOINT).
- Update 04_foundry_toolbox/.env.example to use FOUNDRY_TOOLBOX_ENDPOINT
  (consistent with 06_files).
- Add TOOLBOX_NAME env var to 06_files/agent.yaml so deployed agents have it
  available for the fallback derivation.
- Update both READMEs to document the two ways to supply the toolbox endpoint.
- Add test_foundry_namespace_no_longer_exposes_toolbox_helpers() with negative
  assertions for FoundryHostedToolType, get_toolbox_tool_name,
  get_toolbox_tool_type, and select_toolbox_tools — guarding against accidental
  re-introduction of removed symbols.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix(samples): fail fast on empty FOUNDRY_TOOLBOX_ENDPOINT; add unit tests

Addresses review feedback for #5670:

- In _resolve_toolbox_endpoint() (04_foundry_toolbox/main.py and
  06_files/main.py) change the walrus-operator check from a truthy
  test to an explicit 'is not None' guard.  An explicitly set empty
  string now raises ValueError immediately with a clear message
  instead of silently falling through to the fallback URL
  construction.

- Add tests/samples/hosting/test_toolbox_endpoint.py covering both
  sample modules:
    (a) FOUNDRY_TOOLBOX_ENDPOINT set → returned as-is
    (b) FOUNDRY_TOOLBOX_ENDPOINT set to empty string → ValueError
    (c) fallback constructs URL from FOUNDRY_PROJECT_ENDPOINT + TOOLBOX_NAME,
        stripping trailing slashes
    (d) neither variable group set → KeyError

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review feedback: remove extraneous test and docstring content

- Remove test_foundry_namespace_no_longer_exposes_toolbox_helpers (no longer warranted)
- Remove docstring from _agent.py _prepare_tools_for_openai (extraneous)
- Trim _chat_client.py _prepare_tools_for_openai docstring to one-liner (toolbox references no longer relevant)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: remove remaining extraneous docstring from RawFoundryChatClient._prepare_tools_for_openai

Address review comment on PR #5671: reviewer noted the description
isn't warranted now that toolbox helpers have been removed. Matches
the pattern in RawFoundryAgentChatClient which has no docstring.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-06 23:56:16 +00:00
Evan MattsonandGitHub fffd0acb3e Python: fix(foundry): reconcile toolbox hosted-tool payloads with Responses API (#5414)
* fix(foundry): reconcile toolbox hosted-tool payloads with Responses API

* docs(foundry): update create_sample_toolbox docstring to reflect all tools created
2026-04-22 17:43:26 +00:00
04aaf0c1fe Python: Add support for Foundry Toolboxes (#5346)
* Add support for the Foundry Toolbox in MAF

Introduces a Foundry Toolbox integration: FoundryChatClient gains a
get_toolbox() helper plus select_toolbox_tools(), normalize_tools in
the core package flattens tool-collection wrappers (ToolboxVersionObject
and generic iterables, while leaving Pydantic BaseModel instances
alone), and the new agent_framework.foundry namespace re-exports the
toolbox helpers. Ships with unit tests, a sample, and a design doc.

azure-ai-projects is pinned to the public >=2.0.0,<3.0 range and the
lockfile resolves from public PyPI. The toolbox test module skips when
Toolbox* types are unavailable so CI stays green until the public 2.1.0
SDK lands. OMC tooling directories (.omc/, .omx/) are gitignored.

* Update to latest azure ai projects package

* Improve sample

* Rename ADR to 0025

* Update ADR

* Apply suggestion from @alliscode

Co-authored-by: Ben Thomas <ben.thomas@microsoft.com>

* Improve samples

* Update test

---------

Co-authored-by: Ben Thomas <ben.thomas@microsoft.com>
2026-04-20 23:56:01 +00:00
Eduard van ValkenburgandGitHub 3446eb8d5d Python: [BREAKING] update to v1.0.0 (#5062)
* updates to final deprecated pieces and versions

* fix mypy

* fix readme links
2026-04-02 15:26:30 +00:00
6f6ee61834 Python: Fix broken samples and add missing READMEs (#5038)
* Python: Fix broken samples and add missing READMEs

- simple_context_provider: move instructions kwarg into options dict
- suspend_resume_session: use OpenAIChatCompletionClient for in-memory demo
- foundry_chat_client_with_hosted_mcp: move store kwarg into options dict
- Add README.md for context_providers and conversations sample folders

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: Fix additional sample issues in context_providers

- mem0_basic: send preferences query before sleep so Mem0 can learn them,
  print result from new session recall
- mem0_sessions: add session for multi-turn conversation in agent-scoped
  example, remove user_id from agent-scoped provider (Mem0 API stores
  memories without user_id when agent_id is provided), use single message
  for storing preferences
- redis_basics: print retrieved context messages instead of raw object
- redis_sessions: add missing load_dotenv() call
- redis_basics/redis_sessions: fix docstrings referencing wrong client type
- azure_redis_conversation: replace duplicate copyright with load_dotenv()

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: Fix broken link in declarative README

openai_responses_agent.py was renamed to openai_agent.py

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-04-01 21:35:16 +00:00
6acab3d1d6 Python: [BREAKING] Standardize model selection on model (#4999)
* Refactor Anthropic model option and provider clients

Rename the Anthropic client model option from model_id to model, add provider-specific Anthropic wrappers for Foundry, Bedrock, and Vertex, and expose them through the Anthropic, Foundry, Amazon, and Google namespaces. Update core option handling, docs, samples, and tests accordingly.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix Anthropic skills sample typing

Cast the Anthropic beta client to Any in the skills sample so the pre-commit sample pyright check no longer fails on beta skills and files endpoints that are not exposed by the current SDK stubs.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* undo sample mypy

* Retry CI after transient external failures

Retrigger PR validation after an unrelated Copilot review workflow SAML failure and a transient external tau2 git fetch failure in the Windows Python test setup.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review feedback on model option merging

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address Anthropic compatibility review feedback

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* moved all to `model`

* fixes for azure ai search

* Python: standardize remaining sample env var names

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: fix foundry-local pyright compatibility

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updated env vars in cicd

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-04-01 19:00:18 +00:00
5e056b672e Python: [BREAKING] Python: Provider-leading client design & OpenAI package extraction (#4818)
* Python: Provider-leading client design & OpenAI package extraction

Major refactoring of the Python Agent Framework client architecture:

- Extract OpenAI clients into new `agent-framework-openai` package
- Core package no longer depends on openai, azure-identity, azure-ai-projects
- Rename clients for discoverability: OpenAIResponsesClient → OpenAIChatClient,
  OpenAIChatClient → OpenAIChatCompletionClient
- Unify `model_id`/`deployment_name`/`model_deployment_name` → `model` param
- New FoundryChatClient for Azure AI Foundry Responses API
- New FoundryAgent/FoundryAgentClient for connecting to pre-configured Foundry agents
- Remove OpenAIBase/OpenAIConfigMixin from non-deprecated client MRO
- Deprecate AzureOpenAI* clients, AzureAIClient, OpenAIAssistantsClient
- Reorganize samples: azure_openai+azure_ai+azure_ai_agent → azure/
- ADR-0020: Provider-Leading Client Design

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: missing Agent imports in samples, .model_id → .model in foundry_local sample

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: CI failures — mypy errors, coverage targets, sample imports

- azure-ai mypy: add type ignores for TypedDict total=, model arg, forward ref
- Coverage: replace core.azure/openai targets with openai package target
- project_provider: add type annotation for opts dict

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: populate openai .pyi stub, fix broken README links, coverage targets

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fixes

* updated observabilitty

* reset azure init.pyi

* fix errors

* updated adr number

* fix foundry local

* fixed not renamed docstrings and comments, and added deprecated markers to old classes

* fix tests and pyprojects

* fix test vars

* updated function tests

* update durable

* updated test setup for functions

* Fix Foundry auth in workflow samples

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Stabilize Python integration workflows

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Update hosting samples for Foundry

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Trigger full CI rerun

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Trigger CI rerun again

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* trigger rerun

* trigger rerun

* fix for litellm

* undo durabletask changes

* Move Foundry APIs into foundry namespace

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix Foundry pyproject formatting

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Split provider samples by Foundry surface

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Restore hosting sample requirements

Also fix the Foundry Local sample link after the provider sample move.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updated tests

* udpated foundry integration tests

* removed dist from azurefunctions tests

* Use separate Foundry clients for concurrent agents

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix client setup in azfunc and durable

* disabled two tests

* updated setup for some function and durable tests

* improved azure openai setup with new clients

* ignore deprecated

* fixes

* skip 11

* remove openai assistants int tests

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-03-25 09:56:29 +00:00