chore(terminology): sweep Guardian Intrinsics → Guardian adapter functions

Replaces all remaining "Guardian Intrinsics" / "Guardian intrinsics" prose
with "Guardian adapter functions" across 13 doc pages and one deprecation
warning in guardian.py.  Not covered by Phase 1 (#1136, symbol-only) or
Phase 4 (#1144, deferred page rewrite) — safe to fix in this sweep.

Also fixes 7 bare [Intrinsics](path) cross-doc links (missing .md suffix,
violating CONTRIBUTING_DOCS.md) by adding the extension and updating link
text to "Adapter functions".  No page slugs are renamed; the intrinsics.md
page stays in place until Phase 4.

Assisted-by: Claude Code
Signed-off-by: Nigel Jones <jonesn@uk.ibm.com>

Author: planetf1

docs/docs/advanced/intrinsics.md

@@ -254,9 +254,9 @@ Output format is task-specific — `requirement-check` returns a likelihood scor
 
 ---
 
-## Guardian Intrinsics
+## Guardian adapter functions
 
-Safety and factuality checks use a separate set of Guardian-specific intrinsics:
+Safety and factuality checks use a separate set of Guardian-specific adapter functions:
 `guardian_check()`, `policy_guardrails()`, `factuality_detection()`, and
 `factuality_correction()`. These are documented in the
 [Safety Guardrails](../how-to/safety-guardrails) how-to guide.

docs/docs/advanced/lora-and-alora-adapters.md

@@ -20,7 +20,7 @@ Hugging Face account.
 >
 > Granite Switch models ship with pre-trained adapter functions embedded in the
 > model weights, which can be used via `OpenAIBackend` with
-> `load_embedded_adapters=True`. See [Intrinsics](./intrinsics) for details.
+> `load_embedded_adapters=True`. See [Adapter functions](./intrinsics.md) for details.
 
 ## LoRA vs aLoRA
 
@@ -160,7 +160,7 @@ backend.default_to_constraint_checking_alora = False
 Set it back to `True` to re-enable. This flag is per-backend instance and does not
 affect other sessions.
 
-**See also:** [Intrinsics](./intrinsics) |
+**See also:** [Adapter functions](./intrinsics.md) |
 [The Requirements System](../concepts/requirements-system) |
 [Write Custom Verifiers](../how-to/write-custom-verifiers) |
 [CLI Reference](../reference/cli)

docs/docs/advanced/prefix-caching-and-kv-blocks.md

@@ -132,5 +132,5 @@ identical — disabling caching only affects whether prefill states are stored a
 reused.
 
 **See also:** [HuggingFace Transformers](../integrations/huggingface) |
-[Intrinsics](./intrinsics) |
+[Adapter functions](./intrinsics.md) |
 [LoRA and aLoRA Adapters](./lora-and-alora-adapters)

docs/docs/concepts/architecture-vs-agents.md

@@ -135,7 +135,7 @@ orchestrator:
   with [`ChatContext`](../reference/glossary#chatcontext) and the `@tool` decorator. See
   [Tools and Agents](../how-to/tools-and-agents).
 - **Guarded agents** — combine the ReACT pattern with `requirements` and
-  [Guardian Intrinsics](../how-to/safety-guardrails) to enforce safety constraints
+  [Guardian adapter functions](../how-to/safety-guardrails.md) to enforce safety constraints
   at every step.
 - **Structured outputs** — use `@generative` with Pydantic models or `Literal` types
   to enforce type-safe structured output at each step. See

docs/docs/examples/index.md

@@ -61,7 +61,7 @@ to run.
 
 | Category | What it shows |
 | -------- | ------------- |
-| `intrinsics/` | [Guardian Intrinsics](../how-to/safety-guardrails.md): `guardian_check()` for harm, jailbreak, social bias, groundedness; `policy_guardrails()`; `factuality_detection()` / `factuality_correction()` |
+| `intrinsics/` | [Guardian adapter functions](../how-to/safety-guardrails.md): `guardian_check()` for harm, jailbreak, social bias, groundedness; `policy_guardrails()`; `factuality_detection()` / `factuality_correction()` |
 | `safety/` | *(Examples removed — see [Guardian how-to guide](../how-to/safety-guardrails.md) for the current API. The `RepairTemplateStrategy` gap is tracked in [#1071](https://github.com/generative-computing/mellea/issues/1071).)* |
 
 ### Integration and deployment

docs/docs/how-to/backends-and-configuration.md

@@ -132,7 +132,7 @@ print(str(result))
 
 > **Backend note:** Requires `pip install "mellea[hf]"`. Models are downloaded from
 > HuggingFace Hub on first use. GPU recommended for reasonable inference speed.
-> Required for [Intrinsics](../advanced/intrinsics).
+> Required for [Adapter functions](../advanced/intrinsics.md).
 
 Run models locally using HuggingFace transformers:
 

docs/docs/how-to/safety-guardrails.md

@@ -1,18 +1,18 @@
 ---
 title: "Safety Guardrails"
-description: "Use Guardian Intrinsics to detect harmful, biased, ungrounded, or policy-violating content in LLM outputs."
+description: "Use Guardian adapter functions to detect harmful, biased, ungrounded, or policy-violating content in LLM outputs."
 # diataxis: how-to
 ---
 
 **Prerequisites:** `pip install "mellea[hf]"` for local inference; Apple Silicon or CUDA GPU recommended.
-Guardian Intrinsics work via `LocalHFBackend` (local HuggingFace inference) or `OpenAIBackend`
+Guardian adapter functions work via `LocalHFBackend` (local HuggingFace inference) or `OpenAIBackend`
 pointed at a Granite Switch endpoint.
 
-Guardian Intrinsics evaluate LLM outputs for safety and quality using LoRA adapters
+Guardian adapter functions evaluate LLM outputs for safety and quality using LoRA adapters
 loaded directly into a HuggingFace backend — purpose-built for evaluation tasks, not
 general-purpose generation.
 
-> **Generation vs evaluation:** Guardian Intrinsics evaluate content; they do not
+> **Generation vs evaluation:** Guardian adapter functions evaluate content; they do not
 > generate responses. Your session's generation backend (Ollama, OpenAI, etc.) is
 > unchanged. A separate `LocalHFBackend` instance handles evaluation only.
 
@@ -316,7 +316,7 @@ else:
 
 ## Limitations
 
-Guardian Intrinsics return a numeric score (or label string) rather than a
+Guardian adapter functions return a numeric score (or label string) rather than a
 [`Requirement`](../reference/glossary#requirement) instance, so they cannot be
 passed to `m.validate()` or wired into `RepairTemplateStrategy` the way the
 deprecated `GuardianCheck` could. The practical workaround is to call
@@ -339,4 +339,4 @@ Guardian functions also do not emit `mellea.requirement` metrics — see
 > [`factuality_correction.py`](https://github.com/generative-computing/mellea/blob/main/docs/examples/intrinsics/factuality_correction.py),
 > and [`policy_guardrails.py`](https://github.com/generative-computing/mellea/blob/main/docs/examples/intrinsics/policy_guardrails.py).
 
-**See also:** [Intrinsics](../advanced/intrinsics) | [LoRA and aLoRA Adapters](../advanced/lora-and-alora-adapters) | [Tutorial: Making Agents Reliable](../tutorials/making-agents-reliable)
+**See also:** [Adapter functions](../advanced/intrinsics.md) | [LoRA and aLoRA Adapters](../advanced/lora-and-alora-adapters.md) | [Tutorial: Making Agents Reliable](../tutorials/making-agents-reliable.md)

docs/docs/how-to/use-context-and-sessions.md

@@ -100,7 +100,7 @@ while keeping the session's backend and other configuration intact.
 
 Subclass `MelleaSession` and override any method to inject custom behavior.
 The example below gates all incoming chat messages through
-[Guardian Intrinsics](../how-to/safety-guardrails) safety checks:
+[Guardian adapter functions](../how-to/safety-guardrails.md) safety checks:
 
 ```python
 from typing import Literal

docs/docs/integrations/huggingface.md

@@ -89,7 +89,7 @@ hardware. See the aLoRA guide for training and usage.
 
 > **Tip:** For adapter functions without local GPU requirements, Granite Switch models
 > serve pre-embedded adapters via vLLM and the OpenAI backend. See
-> [Intrinsics](../advanced/intrinsics) for details.
+> [Adapter functions](../advanced/intrinsics.md) for details.
 
 ## Vision support
 

docs/docs/integrations/openai.md

@@ -292,7 +292,7 @@ backend = OpenAIBackend(
 
 The high-level adapter function wrappers (`rag.check_answerability`,
 `core.check_certainty`, etc.) work identically with this backend. See
-[Intrinsics](../advanced/intrinsics) for the full list of available adapter functions.
+[Adapter functions](../advanced/intrinsics.md) for the full list of available adapter functions.
 
 > **Note:** `load_embedded_adapters=True` downloads adapter I/O configurations
 > from the model's HuggingFace repository on first use. No adapter weights are