* Python: bump package versions for 1.2.1 release
PATCH bump (1.2.0 -> 1.2.1) for the released cohort. The release window
covers two PRs, no new public APIs:
- agent-framework-core: prevent inner_exception from being lost in
AgentFrameworkException (#5167)
- samples: add requirements.txt and .env.example to the a2a/ hosting
sample for pip-based setup (#5510)
Per lockstep convention, all 21 beta packages stamp 1.0.0b260428 and all
3 alpha packages stamp 1.0.0a260428, regardless of per-package code
churn. Every non-core package floor on agent-framework-core is raised to
>=1.2.1 to keep cohort signaling consistent. Date stamp reflects the
local (Asia) cut date 2026-04-28.
* Python: silence pyright unknown-type warnings in hosted-env detection
`azure.ai.agentserver.core` is probed at runtime via `importlib.util.find_spec`
and is not a declared dependency. The existing `# pyright: ignore[reportMissingImports]`
suppresses the missing-import warning, but at `lowest-direct` resolution pyright
still reports the imported symbol (`AgentConfig`) and its members (`from_env`,
`is_hosted`) as unknown, breaking `validate-dependency-bounds-test` for
`packages/core`.
Extend the existing ignore to cover `reportUnknownVariableType` on the import
and `reportUnknownMemberType` on the call site so the bounds check returns to
green. Behavior is unchanged.
Latent since #5455 (shipped in 1.2.0).
* Python: raise agent-framework-gemini lower bound to google-genai>=1.65.0
The Gemini chat client references several `google.genai.types` symbols
(`FileSearch`, `ThinkingLevel`, `SearchTypes`, `McpServer`,
`StreamableHttpTransport`, plus call-site keyword args `mcp_servers` and
`search_types`) that are not present at the lower bound of `google-genai>=1.0.0`.
At `lowest-direct` resolution this caused `validate-dependency-bounds-test` to
fail for `packages/gemini` with eleven `reportAttributeAccessIssue` /
`reportUnknownVariableType` errors.
Walking the upstream `google.genai.types` API:
- `GoogleMaps`, `AuthConfig`: present from 1.40.0
- `FileSearch`: introduced in 1.49.0
- `ThinkingLevel`: introduced in 1.55.0
- `SearchTypes`, `McpServer`, `StreamableHttpTransport`: introduced in 1.65.0
Bump the lower bound to 1.65.0 — the minimum version that exposes every symbol
the package actually uses. Keep the `<2.0.0` upper cap unchanged. With this
bump `validate-dependency-bounds-test` passes for both lower and upper
resolution scenarios across all 27 workspace packages.
Latent since #4847 (Gemini package introduction in 1.1.0); aggravated by
subsequent feature additions that pulled in newer `types.*` symbols.
* Python: add dependabot bumps to 1.2.1 CHANGELOG
Catalog the 15 dependabot dependency updates that merged on `upstream/main`
between python-1.2.0 and the 1.2.1 cut window under a new Changed section:
- Workspace dev/runtime deps: `rich`, `prek`, `python-multipart`, `pyasn1`,
`pytest` (ag-ui, devui, lab), `uv` (lab)
- Frontend deps: `vite` (devui, chatkit), `postcss` (devui, chatkit, handoff),
`picomatch` (devui, handoff)
CHANGELOG-only — no source or pyproject.toml changes. PRs themselves merged
upstream independently of this release branch and will be brought in via the
PR merge.
* Bump Python package versions for 1.2.0 release
Released tier bumps 1.1.1 -> 1.2.0 (core, openai, foundry, root) to
reflect additive public APIs landed since 1.1.0: functional workflow API
(#4238) and FunctionTool SKIP_PARSING sentinel (#5424). All beta packages
stamped 1.0.0b260424, alpha packages 1.0.0a260424. All 26 non-core
agent-framework-core floors raised to >=1.2.0,<2. CHANGELOG consolidates
the never-tagged 1.1.1 entries with the post-merge additions into [1.2.0].
* Update CHANGELOG footer links for 1.2.0
Advance [Unreleased] comparison base from python-1.1.0 to python-1.2.0
and add a [1.2.0] reference link comparing python-1.1.0...python-1.2.0
so the heading links resolve correctly.
* Fix CHANGELOG: restore [1.1.1] section and add proper [1.2.0]
Previous commit incorrectly renamed the [1.1.1] header to [1.2.0], which
wiped the historical 1.1.1 entries and wrongly attributed them to 1.2.0.
This restores [1.1.1] to its origin/main content and adds a new [1.2.0]
section above containing only the commits in python-1.1.1..HEAD:
- #4238 functional workflow API
- #5142 GitHub Copilot OpenTelemetry
- #2403 A2A bridge support
- #5070 oauth_consent_request events in Foundry clients
- #5447 FoundryAgent hosted agent sessions
- #5459 hosting server dependency upgrade + types
- #5389 AG-UI reasoning/multimodal parsing fix
- #5440 stop [TOOLBOXES] warning spam
- #5455 user agent prefix fix
Also corrects the [1.2.0] compare base to python-1.1.1 (not 1.1.0) and
adds the missing [1.1.1] reference link.
* Fix AG-UI reasoning role and multimodal media value field parsing
Fix two spec compliance issues in the AG-UI integration:
1. ReasoningMessageStartEvent now uses role='reasoning' instead of
role='assistant', matching the AG-UI specification for reasoning
messages.
2. _parse_multimodal_media_part now reads the 'value' field from source
dicts (with fallback to 'data' for backward compatibility), matching
the current AG-UI InputContentSource specification.
Bump ag-ui-protocol dependency from ==0.1.13 to >=0.1.16,<0.2 to pick
up the SDK fix that accepts role='reasoning' in ReasoningMessageStartEvent.
Fix pre-existing pyright reportMissingImports errors for orjson in sample
files, and fix import ordering in foundry-hosted-agents sample.
Fixes#5340
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Fix AG-UI reasoning role and multimodal media parsing to follow specification
Fixes#5340
* Remove unintended .maf-runtime-ready marker file
Address PR review feedback: the .maf-runtime-ready file is not referenced anywhere in the repo and was left over from automation.
Fixes#5340
* Python: Fix duplicate AG-UI multimodal 'value' parsing in snapshot path
The snapshot normalization path used a second copy of the multimodal source
parsing logic that still read the deprecated 'data' field. When clients sent
base64 media with source={"type": "base64", "value": ...}, the snapshot event
emitted by the server dropped the payload, causing AG-UI-compatible clients
to crash on ingest.
Extract the shared source-field extraction into _extract_multimodal_source_fields
so both _parse_multimodal_media_part and the snapshot _legacy_binary_part stay
in sync with the AG-UI spec. Add snapshot-path regression tests covering
value-only, value-preferred-over-data, and the legacy data-field fallback.
Addresses review feedback on #5389 from @Rickyneer.
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Bump Python version for a release.
* Revert lockstep bumps on unchanged connectors
Per PR review: only connectors that changed (or whose published metadata
changed) should get new versions. Keeps released tier at 1.1.1, a2a/ag-ui
at 1.0.0b260422, foundry-hosting at 1.0.0a260422; reverts the 19 unchanged
betas and 2 unchanged alphas to 1.0.0b260421/1.0.0a260421. Reverts all 26
non-core agent-framework-core floors to >=1.1.0,<2 since no connector
actually depends on a 1.1.1 API or bug fix.
* Restore lockstep prerelease bumps and raise core floors to >=1.1.1
Reverses the lean-revert: all beta packages stamped 1.0.0b260423 and alpha
packages stamped 1.0.0a260423 (Asia date, matching release cut time). All
26 non-core packages raise agent-framework-core lower bound from >=1.1.0,<2
to >=1.1.1,<2 to signal the validated cohort for this release. CHANGELOG
date updated to 2026-04-23.
* Python: Wrapper + Samples 1st (#5177)
* Experiment
* Update dependency and add non streaming
* Add more samples
* Rename samples
* Add invocations
* Comments 1
* Comments 2
* Comments 3
* Improve README
* Add local shell sample
* WIP: Add eval and memory samples
* Update user agent prefix
* Update user agent prefix doc
* Update dependency (#5215)
* Add tests and more content types (#5235)
* Add tests
* fix tests and sample
* Fix formatting
* Remove function approval contents
* Python: Refine samples and upgrade packages (#5261)
* Refine samples and upgrade pacakges
* Upgrade to a new package that fixes a bug
* Update model env var
* Move samples (#5281)
* Python: Upgrade agentserver packages (#5284)
* Upgrade agentserver packages
* Fix new types
* Python: Add special handling for workflows (#5298)
* Add special handling for workflows
* Address comments
* Improve samples (#5372)
* Python: Add more types (#5378)
* Add more type supports
* Upgrade packages
* Remove TODOs in README
* Fix README
* Comments and mypy
* User agent scoped
* Fix README
* Fix pre commit
* Fix pre commit 2
* Fix pre commit 3
* Fix pre commit 4
* Fix pre commit 5
* Fix pre commit 6
* Add azure-monitor-opentelemetry to dev deps
Fixes Samples & Markdown CI failure. The PR's new transitive dep on
azure-monitor-opentelemetry-exporter (via azure-ai-agentserver-core) makes
pyright resolve the azure.monitor.opentelemetry namespace, flipping the
check_md_code_blocks diagnostic for `configure_azure_monitor` from
reportMissingImports (filtered) to reportAttributeAccessIssue (not filtered).
Installing the umbrella azure-monitor-opentelemetry package in dev makes
pyright resolve the symbol correctly, matching the install guidance the
observability README already gives users.
---------
Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>
* 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>
* Add agent-framework-gemini package
* Add AGENTS.md documentation
* Add LICENSE file
* Add README.md for agent-framework-gemini package
* Add Google Gemini API keys to .env.example
* Add Google Gemini chat client implementation
* Add tests for GeminiChatClient
* Add Google Gemini agent examples
* Fix client inheritence order
* Update Gemini agent examples
* Update documentation
* Update AGENTS.md
* Add tests for JSON string handling in GeminiChatClient
* Add final response assembly test in GeminiChatClient
* Add tests for handling empty candidates in GeminiChatClient
* Improve Pydantic response handling in GeminiChatClient
* Add tests for function result resolution and callable tool normalization
* Add test for function result resolution when call_id is generated
* Refactor GeminiChatClient to correct inheritance order
Also updates constructor parameter order for environment file handling
* Enhance documentation and clarify Gemini-specific fields
* Update ThinkingConfig with new attributes and type
* Add tests for GoogleSearch and GoogleMaps configs
* Suppress valid-type mypy error on GeminiChatOptionsT
* Move service_url method near overrides
* Order _prepare_config kwargs by base then Gemini-specific
* Use FunctionCallingConfigMode for clarity and type safety
* Fix code_execution doc
* Add agent-framework-gemini to project dependencies
* Remove package from core dependencies
Initial release will be done without agent-framework-gemini in
core[all].
* Move integration tests into one file
* Remove __init__.py file from gemini tests directory
* Introduce RawGeminiChatClient as lightweight chat client
Updated GeminiChatClient to inherit from RawGeminiChatClient, maintaining full functionality with added features.
* Updated variable names from `model_id` to `model`
Across the codebase, including environment variables and client initialization. Adjusted related tests and sample scripts to reflect this change, ensuring consistency in the usage of the Gemini model identifier.
* Update AGENTS.md
* Update Gemini package to alpha status
* Fix docstrings in Gemini tests
* Change 'model_id' to 'model' in response handling
* Fix model property change in response handling
* Add built-in tool factory methods to Gemini client
Replaces boolean tool options (code_execution, google_search_grounding,
google_maps_grounding) with static factory methods that return types.Tool
objects: get_code_interpreter_tool, get_web_search_tool, get_mcp_tool,
get_file_search_tool, and get_maps_grounding_tool.
Simplifies _prepare_tools to a single translation boundary between
FunctionTool (framework) and FunctionDeclaration (Gemini API), with
types.Tool objects passed through unchanged.
* Surface code execution parts
_parse_parts now maps executable_code and code_execution_result
parts to text Content objects so callers can see the code run
and its output. Unknown part types log at debug level rather than
being silently dropped.
* Update Gemini client documentation
* Unify Gemini model name
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
* Update Agent Framework core version
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
* Add Python 3.14 in classifiers
* Replace kwargs with parameters in tool factories
* Refactor chat options handling in Gemini client
* Add tests for handling unknown and consumed keys
* Update Gemini documentation
Now reflects new options and built-in tool factory methods
* Change build system to flit
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
* Fix build system in pyproject.toml
* Fix type checking for generate_content_stream
---------
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
* Bump Python version to 1.1.0 for a release
* Fix changelog
* 1.0.1 instead of 1.1.0
* Update CHANGELOG.md
* update version and changelog
* Bump lower bounds
* Python: Migrate GitHub Copilot package to SDK 0.2.x
Replace all imports from the non-existent copilot.types module with
correct SDK 0.2.x module paths (copilot.session, copilot.client,
copilot.tools, copilot.generated.session_events). Fix PermissionRequest
attribute access from dict-style .get() to dataclass attribute access.
Add OTel telemetry support to Copilot samples via configure_otel_providers
and document new telemetry environment variables in samples README.
* Python: Fix remaining copilot.types import in sample validation script
* Python: Include model in default_options for telemetry span attributes
* Python: Address review feedback on log_level and session kwargs typing
* Python: Scope PR to SDK 0.2.x migration only, remove net-new OTel features
- Remove RawGitHubCopilotAgent split and AgentTelemetryLayer inheritance
- Remove TelemetryConfig plumbing and OTLP/file telemetry settings
- Remove configure_otel_providers() calls from samples
- Remove telemetry env var rows from samples README
- Retain only: import path fixes, PermissionRequest attribute access fix,
log_level default fix, session kwargs typed fix, dependency pin
* Python: Update tests for SDK 0.2.x API changes
- SubprocessConfig replaces CopilotClientOptions dict
- create_session and resume_session now use keyword args
- send and send_and_wait take plain string prompt instead of MessageOptions
- on_permission_request is always required; deny-all fallback replaces omission
* Python: Pin github-copilot-sdk to >=0.2.0,<=0.2.0
Tighten the upper bound from <0.3.0 to <=0.2.0 to avoid pulling in 0.2.1+
which has breaking API changes relative to 0.2.0. The lower bound stays at
>=0.2.0 since this migration requires the 0.2.x import paths; 0.1.x would
fail at import time.
* Python: Pin github-copilot-sdk to >=0.2.1,<=0.2.1
---------
Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
* Implement annotation-based context compaction
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Handle missing compaction attributes in BaseChatClient
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix CI typing and bandit issues
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Optimize incremental compaction annotation pass
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* refinement
* Python: add ToolResultCompactionStrategy and CompactionProvider
Add ToolResultCompactionStrategy that collapses older tool-call groups
into short summary messages (e.g. [Tool calls: get_weather]) while
keeping the most recent groups verbatim. This mirrors the .NET
ToolResultCompactionStrategy from PR #4533.
Add CompactionProvider as a context-provider that auto-applies compaction
before each agent turn and stores compacted history in session state
after each turn.
Includes tests and samples for both features.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* refinement and alignment with dotnet PR
* updated tool result compaction
* updated tool result compaction
* Python: add ToolResultCompactionStrategy, CompactionProvider, and skip_excluded
- ToolResultCompactionStrategy collapses older tool-call groups into
[Tool results: func_name: result] summaries with bidirectional tracing
(same pattern as SummarizationStrategy).
- CompactionProvider as BaseContextProvider with separate before_strategy
and after_strategy parameters. before_strategy compacts loaded context;
after_strategy compacts stored history via history_source_id.
- InMemoryHistoryProvider gains skip_excluded flag to filter out messages
marked as excluded by compaction strategies.
- Tests, samples, and exports updated.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fixed checks
* fix mypy
* Fix: ensure summary messages from both strategies get full compaction annotations
SummarizationStrategy was not calling annotate_message_groups after
inserting its summary message, so the summary lacked core group
annotations (id, kind, index, has_reasoning, _excluded). Added the
missing call. ToolResultCompactionStrategy already had it.
Added tests verifying both strategies produce fully annotated summaries.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* updated propagation
* fix mypy
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Prepare azure-ai-projects 2.0 GA compatibility
Add allow_preview support for internal AIProjectClient creation, keep backward compatibility for renamed SDK model classes, and align Azure AI/core paths and tests for GA validation workflows.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* upgrade to ai-project==2.0.0
* Python: remove azure-ai-projects keyword-guard paths
Assume azure-ai-projects 2.0+ in Azure AI client/provider/responses code paths by removing _supports_keyword_argument gating and related fallback branching.
Also fix pyright typing in FoundryMemoryProvider memory store calls by using ResponseInputItemParam-typed items.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* check fixes
* Python: remove unsupported foundry_features option
Drop foundry_features from Azure AI client and provider surfaces because azure-ai-projects 2.0.0 does not expose that create_version parameter.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: add allow_preview to Foundry memory provider
Propagate allow_preview when FoundryMemoryProvider constructs an AIProjectClient and update tests accordingly.
Also finish wiring allow_preview through AzureAIClient-facing surfaces and related docs.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* aligning docstrings
* udpated lock
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Update github_copilot package for github-copilot-sdk>=0.1.32 (#4549)
- Update requires-python from >=3.10 to >=3.11
- Remove Python 3.10 classifier
- Update mypy python_version to 3.11
- Update dependency to github-copilot-sdk>=0.1.32
- Fix ToolResult API: use snake_case kwargs (text_result_for_llm,
result_type) instead of camelCase (textResultForLlm, resultType)
- Update test assertions to use attribute access on ToolResult
- Add ToolResult type assertions to tool handler tests
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix tests to use ToolInvocation dataclass instead of plain dict (#4549)
Update test_github_copilot_agent.py to pass ToolInvocation objects to tool
handlers instead of plain dicts, matching the github-copilot-sdk>=0.1.32 API
where ToolInvocation is a dataclass with an .arguments attribute.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add regression tests for ToolInvocation contract (#4549)
Add tests to lock in the new ToolInvocation-based calling convention:
- test_tool_handler_rejects_raw_dict_invocation: verifies passing a raw
dict (old calling convention) raises TypeError/AttributeError
- test_tool_handler_with_empty_arguments: verifies ToolInvocation with
empty arguments works correctly for no-arg tools
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Revert requires-python to >=3.10 to avoid breaking CI (#4549)
The repo CI runs with Python 3.10 (uv sync --all-packages) and all other
packages require >=3.10. Raising this package to >=3.11 would break the
shared install flow. The SDK dependency version constraint (>=0.1.32) will
enforce any Python version requirement from the SDK itself.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix min Python version for github_copilot package to >=3.11
github-copilot-sdk>=0.1.32 requires Python>=3.11, which conflicts
with the package's declared >=3.10 minimum, breaking uv sync.
* Bump py version for GH workflows to 3.11, exclude GHCP sdk from 3.10 items
* Fix uv command
* Fixes
* Update samples
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix Python pyright package scoping and typing remediation
Implements issue #4407 by removing the root pyright include, adding package-level pyright includes, and resolving pyright/mypy typing issues across Python packages. Also cleans unnecessary casts and applies line-level, rule-specific ignores where external libraries are too dynamic.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Reduce pyright cost in handoff cloning
Simplify cloned_options construction in HandoffAgentExecutor to avoid expensive TypedDict narrowing/inference in _handoff.py, which was causing pyright to spend a long time in orchestrations.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fix types
* Fix lint and type-check regressions
Resolve current Python package check failures across lint, pyright, and mypy after recent code changes, including purview/declarative pyright issues and multiple ruff simplification findings.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* fixed hooks
* Stabilize package tests and test tasks
Resolve cross-package non-integration test failures, simplify streaming type flow, harden locale/culture handling, and standardize package test poe tasks to exclude integration tests where applicable.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* lots of small fixes
* Fix current Python test regressions
Address current failing unit tests in azure-ai, bedrock, and azure-cosmos while keeping Bedrock parsing logic inline (no new static helper methods).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* small fixes
* small fixes
* removed pydantic from json
* final updates
* fix core
* fix tests
* fix obser
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Phase 2: Embedding clients for Ollama, Bedrock, and Azure AI Inference
Add embedding client implementations to existing provider packages:
- OllamaEmbeddingClient: Text embeddings via Ollama's embed API
- BedrockEmbeddingClient: Text embeddings via Amazon Titan on Bedrock
- AzureAIInferenceEmbeddingClient: Text and image embeddings via Azure AI
Inference, supporting Content | str input with separate model IDs for
text (AZURE_AI_INFERENCE_EMBEDDING_MODEL_ID) and image
(AZURE_AI_INFERENCE_IMAGE_EMBEDDING_MODEL_ID) endpoints
Additional changes:
- Rename EmbeddingCoT -> EmbeddingT, EmbeddingOptionsCoT -> EmbeddingOptionsT
- Add otel_provider_name passthrough to all embedding clients
- Register integration pytest marker in all packages
- Add lazy-loading namespace exports for Ollama and Bedrock embeddings
- Add image embedding sample using Cohere-embed-v3-english
- Add azure-ai-inference dependency to azure-ai package
Part of #1188
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix mypy duplicate name and ruff lint issues
- Rename second 'vector' variable to 'img_vector' in image embedding loop
- Combine nested with statements in tests
- Remove unused result assignments in tests
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* updates from feedback
* Fix CI failures in embedding usage handling
- Fix Azure AI embedding mypy issues by normalizing vectors to list[float],
safely accumulating optional usage token fields, and filtering None entries
before constructing GeneratedEmbeddings
- Avoid Bandit false positive by initializing usage details as an empty dict
- Update OpenAI embedding tests to assert canonical usage keys
(input_token_count/total_token_count)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Evan MattsonandGitHub
Tao ChenandGitHub
Eduard van ValkenburgandGitHub
Dmytro StrukandGitHub