#context-contract

Agent Context Contract is a ai interface contract that defines what context may be passed into a model call for tool-using assistant workflows. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used Agent Context Contract when an agent moved from search to action, so the team could keep model inputs relevant and safe before the agent workflow reached production.”

Alignment Context Contract is a ai interface contract that defines what context may be passed into a model call for model behavior shaping and policy fit. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used Alignment Context Contract when the assistant needed a safer answer style, so the team could keep model inputs relevant and safe before the agent workflow reached production.”

Context Context Contract is a ai interface contract that defines what context may be passed into a model call for runtime memory and retrieved information. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used Context Context Contract when the context window filled with mixed sources, so the team could keep model inputs relevant and safe before the agent workflow reached production.”

Evaluation Context Contract is a ai interface contract that defines what context may be passed into a model call for AI quality and safety testing. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used Evaluation Context Contract when a release candidate failed a reasoning scenario, so the team could keep model inputs relevant and safe before the agent workflow reached production.”

Guardrail Context Contract is a ai interface contract that defines what context may be passed into a model call for policy controls around model input and output. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used Guardrail Context Contract when the model tried to include private context, so the team could keep model inputs relevant and safe before the agent workflow reached production.”

Inference Context Contract is a ai interface contract that defines what context may be passed into a model call for model execution for user or system requests. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used Inference Context Contract when the inference route moved to a faster region, so the team could keep model inputs relevant and safe before the agent workflow reached production.”

Memory Context Contract is a ai interface contract that defines what context may be passed into a model call for persistent or session-level AI state. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used Memory Context Contract when the assistant reused earlier project context, so the team could keep model inputs relevant and safe before the agent workflow reached production.”

Model Context Contract is a ai interface contract that defines what context may be passed into a model call for foundation model behavior and serving. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used Model Context Contract when the model produced a low-confidence answer, so the team could keep model inputs relevant and safe before the agent workflow reached production.”

Prompt Context Contract is a ai interface contract that defines what context may be passed into a model call for instructions and context passed to a model. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used Prompt Context Contract when the prompt changed between releases, so the team could keep model inputs relevant and safe before the agent workflow reached production.”

RAG Context Contract is a ai interface contract that defines what context may be passed into a model call for retrieval-augmented generation pipelines. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used RAG Context Contract when the retriever mixed old and new documents, so the team could keep model inputs relevant and safe before the agent workflow reached production.”

Routing Context Contract is a ai interface contract that defines what context may be passed into a model call for selection among models, tools, and workflows. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used Routing Context Contract when the router selected a cheaper model, so the team could keep model inputs relevant and safe before the agent workflow reached production.”

Tool Call Context Contract is a ai interface contract that defines what context may be passed into a model call for model-triggered calls into software systems. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used Tool Call Context Contract when the assistant requested a protected operation, so the team could keep model inputs relevant and safe before the agent workflow reached production.”