AI Dispatch
agent · ai agents frameworks

Semantic Kernel

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11 fields evidenced · 44 with no public information. Every value below links to the document it came from and the date we checked it.

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Also appears in

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Runtime governance
unscored

Are scope, spend, and authority enforced while the agent runs?

Audit trail
1/3 auto

Is there a tamper-evident record of what it actually did?

Scored from 1 evidenced field(s): audit_trail. Automated score; capped at 2 pending review.

Counts Audit trail, each cited below.

Compliance
unscored

Are compliance obligations attached per engagement?

Outcome settlement
unscored

Does payment depend on a verified result?

Insurance & indemnity
unscored

Can the deployment be insured, and is the customer indemnified?

Assurance

Insurance available
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this
Insurance carriers
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this
Coverage limits
no public information
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Indemnification
no public information
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Liability cap
no public information
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Audit trail
telemetry support
Backed with security enhancing capabilities like telemetry support
learn.microsoft.com · checked Aug 1, 2026
Tamper-evident log
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this
Explainability
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this
Runtime governance
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this
Permission scopes
no public information
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Compliance certifications
no public information
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Regulatory alignment
no public information
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Outcome-based pricing
no public information
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Settlement mechanism
no public information
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Dispute process
no public information
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SLA terms
no public information
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Evaluation coverage
no public information
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Agency

Autonomy level
no public information
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Human oversight
no public information
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Goal complexity
no public information
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Action space
no public information
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Operating environment
codebase
integrate the latest AI models into your C#, Python, or Java codebase
learn.microsoft.com · checked Aug 1, 2026
Initiative
no public information
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Safety

Safety evaluations
no public information
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Red teaming
no public information
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Safety policy
no public information
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Usage restrictions
no public information
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Model or system card
no public information
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Incident reporting
no public information
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Third-party evaluations
no public information
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Data handling
no public information
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Practicality

Pricing model
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this
Price point
no public information
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Availability
no public information
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Deployment options
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this
Integrations
OpenAPI specifications (like Microsoft 365 Copilot)
Semantic Kernel uses OpenAPI specifications (like Microsoft 365 Copilot)
learn.microsoft.com · checked Aug 1, 2026
Supported regions
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this
Support model
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this

Foundation models

Base models
no public information
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Model provider
no public information
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Model swappable
you’ll simply swap them out without needing to rewrite your entire codebase
When new models are released, you’ll simply swap them out without needing to rewrite your entire codebase.
learn.microsoft.com · checked Aug 1, 2026
Open weights
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this
Fine-tuning
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this
Context window
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this

Ecosystem

Protocols supported
OpenAPI specifications
Semantic Kernel uses OpenAPI specifications (like Microsoft 365 Copilot)
learn.microsoft.com · checked Aug 1, 2026
Tool use
translating the model's request to a function call and passes the results back to the model
Semantic Kernel combines prompts with existing APIs to perform actions. By describing your existing code to AI models, they’ll be called to address requests. When a request is made the model calls a function, and Semantic Kernel is the middleware translating the model's request to a function call and passes the results back to the model.
learn.microsoft.com · checked Aug 1, 2026
Multi-agent
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this
API access
integrate the latest AI models into your C#, Python, or Java codebase
learn.microsoft.com · checked Aug 1, 2026
Open source
open-source
Semantic Kernel is a lightweight, open-source development kit
learn.microsoft.com · checked Aug 1, 2026
Marketplace presence
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this

Impact

User base
Microsoft and other Fortune 500 companies
Microsoft and other Fortune 500 companies are already leveraging Semantic Kernel
learn.microsoft.com · checked Aug 1, 2026
Deployment scale
Microsoft and other Fortune 500 companies are already leveraging
Microsoft and other Fortune 500 companies are already leveraging Semantic Kernel
learn.microsoft.com · checked Aug 1, 2026
Target sectors
Enterprise
Enterprise ready Microsoft and other Fortune 500 companies are already leveraging Semantic Kernel
learn.microsoft.com · checked Aug 1, 2026
High-risk domains
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this
Documented incidents
no public information
learn.microsoft.com · checked Aug 1, 2026 · source did not state this