live wire
▸Snowflake agent evals can pin judge versions; unpinned metrics may roll forward and shift scoresSnowflake▸ThoughtSpot makes Spotter 3 default for new instances; it requires download rights and always shares query data with an LLMThoughtSpot documentation▸MotherDuck adds image classification and object location to prompt_jev(), returning typed SQL outputs with confidence scoresMotherDuck▸BigQuery conversational analytics adds Montréal and Toronto; mixed-region agents still default to globalGoogle Cloud Documentation▸Fabric enables Azure OpenAI Copilot access by default, but OpenAI-subprocessor and cross-region processing/storage switches remain offMicrosoft Learn▸Snowflake Cortex Agents now continue by default when named tools are inaccessible, emitting warnings instead of failing the runSnowflake documentation▸Databricks Genie One can use group memberships to tailor answers, while Unity Catalog remains the access-control boundaryDatabricks documentation▸Fabric data agents can query Power BI models with Read alone; Build and workspace access are unnecessaryMicrosoft Learn▸Fabric data-agent Git configs expose column flags, but selecting a table still includes every columnMicrosoft Learn▸Google Data Agent Kit offers remote Spark kernels, but notebook exports can still move results into local Pandas or ArrowGoogle Cloud Documentation▸Cube says production analytics agents need explicit partial-result states, caller-filtered model search and durable artifactsCube▸Thinking Machines names Bridgewater behind ReViSQL-K2.6, citing 92.97% SC-16 accuracy at 15% of frontier-model costThinking Machines Lab▸AWS says a mismatched data/tool/prompt release cut its Field Sales agent pass rate from 78% to 38% in pre-productionAWS Artificial Intelligence Blog▸NL2SQL Multi-Agent ships evaluation artifacts across BIRD, CSpider, Archer and KDD DataSpace—but no software licenseGitHub▸Snowflake agent evals can pin judge versions; unpinned metrics may roll forward and shift scoresSnowflake▸ThoughtSpot makes Spotter 3 default for new instances; it requires download rights and always shares query data with an LLMThoughtSpot documentation▸MotherDuck adds image classification and object location to prompt_jev(), returning typed SQL outputs with confidence scoresMotherDuck▸BigQuery conversational analytics adds Montréal and Toronto; mixed-region agents still default to globalGoogle Cloud Documentation▸Fabric enables Azure OpenAI Copilot access by default, but OpenAI-subprocessor and cross-region processing/storage switches remain offMicrosoft Learn▸Snowflake Cortex Agents now continue by default when named tools are inaccessible, emitting warnings instead of failing the runSnowflake documentation▸Databricks Genie One can use group memberships to tailor answers, while Unity Catalog remains the access-control boundaryDatabricks documentation▸Fabric data agents can query Power BI models with Read alone; Build and workspace access are unnecessaryMicrosoft Learn▸Fabric data-agent Git configs expose column flags, but selecting a table still includes every columnMicrosoft Learn▸Google Data Agent Kit offers remote Spark kernels, but notebook exports can still move results into local Pandas or ArrowGoogle Cloud Documentation▸Cube says production analytics agents need explicit partial-result states, caller-filtered model search and durable artifactsCube▸Thinking Machines names Bridgewater behind ReViSQL-K2.6, citing 92.97% SC-16 accuracy at 15% of frontier-model costThinking Machines Lab▸AWS says a mismatched data/tool/prompt release cut its Field Sales agent pass rate from 78% to 38% in pre-productionAWS Artificial Intelligence Blog▸NL2SQL Multi-Agent ships evaluation artifacts across BIRD, CSpider, Archer and KDD DataSpace—but no software licenseGitHub
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guideMigration guide

Fabric’s Data Agent SDK now has two query paths—and neither is the old Assistants workflow

Microsoft separates agent lifecycle management from runtime consumption, while its Responses migration changes conversation state, polling and trace inspection.

Old Assistants flow versus new Responses and MCP paths.
Side by side: what changed
By The News Desk· Oct 15, 2026the quick take — two AI hosts go live when you do

Microsoft’s Fabric Data Agent SDK documentation now tells developers who still use the Fabric OpenAI client to move data-agent queries away from the OpenAI Assistants API. The supported destinations are the Fabric OpenAI Responses client or the published agent’s Model Context Protocol endpoint. The change applies to querying code; Microsoft says creation, configuration and publishing remain unchanged. Microsoft Fabric SDK documentation

That distinction matters because this is not one API replacement across the entire agent lifecycle. Microsoft describes the Python SDK as a management-plane tool built on Fabric’s public REST API: it creates the artifact, attaches sources, sets instructions and examples, and publishes a staged configuration. A published agent is then consumed through a separate runtime surface. The documentation presents MCP as that surface for tools, applications and other agents. Microsoft Fabric SDK documentation

What changes in application code

Microsoft’s migration notebook shows that FabricOpenAIResponses removes the Assistants objects developers previously had to create. There is no assistant or thread setup. A question goes through one responses.create(input=...) call rather than a sequence involving assistant creation, thread creation, message creation and run creation. Follow-up context can be carried either with previous_response_id or with a conversation ID. Microsoft migration notebook

Operational code changes too. Clients poll a response with responses.retrieve rather than polling a run; terminal states include completed, failed, incomplete and cancelled. Tool calls, tool outputs and code-interpreter activity appear in response output items instead of a separate run-steps listing. Microsoft also warns that tabular results may arrive as output items rather than streamed text, so an integration that records only text deltas can miss useful results. Microsoft migration notebook

The evaluation path is not switched automatically. The sample says evaluate_data_agent still defaults to the Assistants API; developers must pass client_class=FabricOpenAIResponses to exercise the new path. That creates a practical migration test: run the same evaluation set through the Responses client before changing production consumers, and inspect both row-level results and the per-step tool-output table. Microsoft migration notebook

MCP is a different boundary

For applications choosing MCP instead, the agent must be published before its endpoint works. Microsoft documents a workspace-and-artifact URL, bearer-token authentication for either a user or service principal, and a server exposing a single tool that accepts a question and returns the generated answer. Publishing to Microsoft 365 Copilot is an exception: Microsoft says that action does not yet use the public API and still requires Fabric’s portal or an SDK run inside a Fabric notebook. Microsoft Fabric SDK documentation

The safest reading is therefore a two-part migration. Keep management automation stable, but explicitly choose and test the consumption contract: Responses for code already shaped around the Fabric OpenAI client, or MCP for interoperable agent and tool consumers. Do not treat a successful publish as proof that either runtime client handles conversation state, traces and non-text outputs correctly.

Filed by The News Desk. Corrections: desk@nl2sql.ai · Our standards →

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