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Context Orchestration
Patterns for selecting, routing, sizing, and combining context
Overview
Context orchestration patterns decide which information should reach each model or agent, in what form, and at what time. They cover source fusion, task-aware routing, and adaptive context sizing across systems that combine memory, retrieval, tools, and multiple specialists.
Practical Applications & Use Cases
Multi-source assistants
Merge retrieved documents, session memory, and live tool results with clear provenance.
Specialist agents
Route only the context each agent needs while preserving handoff continuity.
Cost-sensitive applications
Adapt context depth to task complexity instead of filling the window by default.
Why This Matters
More context is not always better. Deliberate orchestration reduces distraction, leakage, cost, and conflicting evidence while preserving the information needed for a task.
Implementation Guide
When to Use
Several context sources compete for a limited model window
Different agents or tasks need different evidence
Context quality, privacy, or freshness varies by source
Best Practices
Rank context by task relevance, authority, freshness, and sensitivity
Keep provenance and access policy attached through transformations
Evaluate retrieval and answer quality together
Common Pitfalls
Concatenating every available source without prioritization
Dropping provenance during summarization or handoff
Sharing sensitive context with agents that do not need it
Available Techniques
Context Orchestration
Patterns for selecting, routing, sizing, and combining context
Overview
Context orchestration patterns decide which information should reach each model or agent, in what form, and at what time. They cover source fusion, task-aware routing, and adaptive context sizing across systems that combine memory, retrieval, tools, and multiple specialists.
Practical Applications & Use Cases
Multi-source assistants
Merge retrieved documents, session memory, and live tool results with clear provenance.
Specialist agents
Route only the context each agent needs while preserving handoff continuity.
Cost-sensitive applications
Adapt context depth to task complexity instead of filling the window by default.
Why This Matters
More context is not always better. Deliberate orchestration reduces distraction, leakage, cost, and conflicting evidence while preserving the information needed for a task.
Implementation Guide
When to Use
Several context sources compete for a limited model window
Different agents or tasks need different evidence
Context quality, privacy, or freshness varies by source
Best Practices
Rank context by task relevance, authority, freshness, and sensitivity
Keep provenance and access policy attached through transformations
Evaluate retrieval and answer quality together
Common Pitfalls
Concatenating every available source without prioritization
Dropping provenance during summarization or handoff
Sharing sensitive context with agents that do not need it