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Ben Thomas
aee1acbf8b
* Foundry Evals integration for .NET - Core evaluation framework: EvalItem, LocalEvaluator, FunctionEvaluator, EvalChecks - IAgentEvaluator interface with MeaiEvaluatorAdapter bridge - AgentEvaluationExtensions for agent.EvaluateAsync() overloads - FoundryEvals wrapping MEAI quality/safety evaluators - ConversationSplitters (LastTurn, Full) and IConversationSplitter - EvalItem.PerTurnItems() for multi-turn decomposition - HasImageContent for multimodal content detection - WorkflowEvaluationExtensions for per-agent workflow evaluation - 7 eval samples mirroring Python parity: 02-agents/Evaluation: SimpleEval, ExpectedOutputs, Multimodal 03-workflows/Evaluation: WorkflowEval 05-end-to-end/Evaluation: FoundryQuality, MixedProviders, ConversationSplits - Comprehensive unit tests (1958 passing) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Rewrite FoundryEvals to use real Foundry Evals API Replace MEAI evaluator shim with actual OpenAI EvaluationClient protocol methods. FoundryEvals now creates eval definitions, submits runs, polls for completion, and fetches per-item results server-side. - New constructor: FoundryEvals(AIProjectClient, model, evaluators) - Add FoundryEvalConverter for MEAI ChatMessage -> Foundry JSON format - Add EvalId, RunId, ReportUrl to AgentEvaluationResults - All 20 built-in evaluator constants now work (agent, tool, quality, safety) - Remove Microsoft.Extensions.AI.Evaluation.Quality/Safety dependencies - Update all samples for new constructor (no more ChatConfiguration) - Replace BuildEvaluators tests with ResolveEvaluator tests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add response output to CustomEvals and ExpectedOutputs samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review: pagination, validation, error handling, tests FoundryEvals fixes: - Add pagination for output items (has_more/after cursor) - Add guard clauses for pollIntervalSeconds/timeoutSeconds <= 0 - Fix double TryGetProperty for passed field parsing - Throw on all-tool-evaluators with no tool definitions - Fix XML doc (default 300s, not 180s) New tests (30 added, 1989 total): - EvalChecks: NonEmpty, ContainsExpected (pass/fail/skip/case), HasImageContent, ToolCallsPresent - FoundryEvalConverter: ConvertMessage (text, image, function call, function results fan-out, empty fallback, mixed content), ConvertEvalItem, BuildTestingCriteria (quality/agent/tool/groundedness data mappings), BuildItemSchema Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix review: null-refs, Data.ToString() bug, ContainsExpected, add tests - Fix NullReferenceException in sample Response display (pattern matching) - Fix WorkflowEvaluationExtensions Data?.ToString() producing type names instead of message text (pattern-match ChatMessage/AgentResponse/list) - Change EvalChecks.ContainsExpected to return Passed=false when no ExpectedOutput (was silently passing, masking misconfiguration) - Add EvalItem constructor tests with LastTurn/Full/null splitters - Add FoundryEvalConverter.ConvertMessage DataContent (base64 image) test - Add ExtractAgentData tests with ChatMessage, list, and AgentResponse data Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix review: conversation fidelity, eval caching, fallback tests - WorkflowEvaluationExtensions: preserve full response messages (tool calls, intermediate) instead of synthetic 2-message conversation. Cast completed Data to AgentResponse and use Messages when available, fallback to text. - FoundryEvals: cache evalId per schema shape (hasContext, hasTools) so subsequent EvaluateAsync calls create runs under the same eval definition. - MeaiEvaluatorAdapter: code already correctly passes queryMessages (not full conversation) to IEvaluator — no change needed, verified by inspection. - Add tests: AgentResponse full messages preservation, unknown object ToString() fallback for ExtractAgentData. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Rename AzureAI→Foundry: move eval files, update references - Move FoundryEvals.cs and FoundryEvalConverter.cs from Microsoft.Agents.AI.AzureAI to Microsoft.Agents.AI.Foundry - Update namespace from AzureAI to Foundry in both files - Add explicit usings required by Foundry project (no implicit usings) - Move FoundryEvalConverter tests to Foundry.UnitTests project (avoids ReplacingRedactor type conflict from dual project refs) - Update all sample csproj references and using statements - Remove Foundry project reference from AI UnitTests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * PR review round 4: wire up tool extraction, remove eval cache, fix null safety - BuildEvalItem: extract tools from agent via GetService<ChatOptions>() into EvalItem.Tools (Python parity) - FoundryEvals: remove eval ID cache - each call creates fresh definition (matches Python behavior) - FoundryEvals: replace null-forgiving operators with descriptive InvalidOperationException - MixedProviders sample: remove unnecessary explicit PackageReferences (transitively provided) - FoundryEvalConverter: document that tool results take precedence over text content - Add LocalEvaluator zero-checks test documenting 0 metrics = failed behavior Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python-dotnet parity: 9 feature gaps filled New checks: - ToolCallArgsMatch() — verify tool call names + argument subset match - ToolCalledCheck(ToolCalledMode.Any, ...) — match any of the specified tools - ToolCalledMode enum (All/Any) FoundryEvals enhancements: - Default evaluators now [Relevance, Coherence, TaskAdherence] (was Relevance, Coherence) - Auto-add ToolCallAccuracy when items have tool definitions - EvaluateTracesAsync — evaluate by response_ids, trace_ids, or agent_id - EvaluateFoundryTargetAsync — evaluate deployed Foundry targets Result type enrichment: - AgentEvaluationResults: added Status, Error, PerEvaluator, DetailedItems - New EvalItemResult/EvalScoreResult/PerEvaluatorResult types - FoundryEvals populates all new fields from API responses Workflow fix: - Skip internal executors (_*, input-conversation, end-conversation, end) Tests: 8 new tests covering ToolCallArgsMatch, ToolCalledMode.Any, internal executor filtering Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add MeaiEvaluatorAdapter and PerTurnItems edge case tests - 3 tests for MeaiEvaluatorAdapter: query message forwarding, synthetic response fallback, multiple items aggregation - 3 tests for EvalItem.PerTurnItems: empty conversation, no user messages, system+assistant only - StubEvaluator and StubChatClient test helpers Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Blocking link check for outdated package in DevUI. * Replace Dictionary<string, object> payloads with typed wire models Introduce internal FoundryEvalWireModels.cs with compile-time-safe types for the OpenAI Evals API wire format. The OpenAI .NET SDK (2.9.1) only provides protocol-level methods with BinaryContent/ClientResult — no typed request models. These internal models replace scattered dictionary literals with [JsonPropertyName]-annotated classes, giving: - Compile-time safety (typos become build errors) - Single point of change when the API evolves - IntelliSense discoverability - Cleaner serialization via JsonPolymorphic for content items Models: WireContentItem hierarchy (text, image, tool_call, tool_result), WireMessage, WireEvalItemPayload, WireTestingCriterion, WireItemSchema, WireCreateEvalRequest, WireCreateRunRequest, and data source variants. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Skip metric when Foundry returns neither score nor passed When an evaluator returns no score and no passed value, the previous code created BooleanMetric(name, false), which falsely failed items via ItemPassed. Now we skip the MEAI metric entirely for indeterminate results — the raw data remains available in DetailedItems for diagnostics. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR #4914 review comments: fix tool evaluator bug and add tests - Fix duplicate ToolCallAccuracy: resolve evaluator names before checking against ToolEvaluators set (Comment 2) - Make FilterToolEvaluators internal for testability; add tests for the ArgumentException edge case when all evaluators are tool-type (Comment 3) - Add CancellationToken test for LocalEvaluator (Comment 4) - Add EvaluateAsync integration test on Run with sequential workflow and per-agent SubResults verification (Comment 5) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address Peter's review comments on PR #4914 - Add trailing newline to Evaluation_FoundryQuality.csproj (Comment 6) - Make evaluator name lookups case-insensitive: switch BuiltinEvaluators, ToolEvaluators, AgentEvaluators, and ResolveEvaluator's StartsWith check from Ordinal to OrdinalIgnoreCase (Comment 7) - Add Trace.TraceWarning when Foundry returns fewer results than submitted items, indicating expected vs actual count before padding (Comment 8) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add Microsoft.Extensions.AI.Evaluation packages to Directory.Packages.props These were removed in #5269 as unused, but are needed by the Foundry and core evaluation integration added in this PR. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: alliscode <bentho@microsoft.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
aee1acbf8b
·
2026-04-16 19:40:07 +00:00
History
Workflow Getting Started Samples
The workflow samples demonstrate the fundamental concepts and functionality of workflows in Agent Framework.
Samples Overview
Foundational Concepts - Start Here
Please begin with the Start Here samples in order. These three samples introduce the core concepts of executors, edges, agents in workflows, streaming, and workflow construction.
The folder name starts with an underscore (
_StartHere) to ensure it appears first in the explorer view.
| Sample | Concepts |
|---|---|
| Streaming | Extends workflows with event streaming |
| Agents | Use agents in workflows |
| Agentic Workflow Patterns | Demonstrates common agentic workflow patterns |
| Multi-Service Workflows | Shows using multiple AI services in the same workflow |
| Sub-Workflows | Demonstrates composing workflows hierarchically by embedding workflows as executors |
| Mixed Workflow with Agents and Executors | Shows how to mix agents and executors with adapter pattern for type conversion and protocol handling |
| Writer-Critic Workflow | Demonstrates iterative refinement with quality gates, max iteration safety, multiple message handlers, and conditional routing for feedback loops |
Once completed, please proceed to the other samples listed below.
Agents
| Sample | Concepts |
|---|---|
| Foundry Agents in Workflows | Demonstrates using Microsoft Foundry agents in a workflow through ChatClientAgent |
| Custom Agent Executors | Shows how to create a custom agent executor for more complex scenarios |
| Workflow as an Agent | Illustrates how to encapsulate a workflow as an agent |
| Group Chat with Tool Approval | Shows multi-agent group chat with tool approval requests and human-in-the-loop interaction |
Concurrent Execution
| Sample | Concepts |
|---|---|
| Fan-Out and Fan-In | Introduces parallel processing with fan-out and fan-in patterns |
Loop
| Sample | Concepts |
|---|---|
| Looping | Shows how to create a loop within a workflow |
Workflow Shared States
| Sample | Concepts |
|---|---|
| Shared States | Demonstrates shared states between executors for data sharing and coordination |
Conditional Edges
| Sample | Concepts |
|---|---|
| Edge Conditions | Introduces conditional edges for dynamic routing based on executor outputs |
| Switch-Case Routing | Extends conditional edges with switch-case routing for multiple paths |
| Multi-Selection Routing | Demonstrates multi-selection routing where one executor can trigger multiple downstream executors |