docs: add MODULE.md + MODULE.de.md inline docs

Documents the fidelity-over-creativity system-prompt stance
explicitly — that's the differentiator from a generic LLM
'summarize' call and worth surfacing in the module detail.

Signed-off-by: flemming-it <sf@flemming.it>

MODULE.md

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+# text.summarize
+
+Ollama-backed faithful summarisation. Sends source text to a
+configured LLM endpoint with a fidelity-over-creativity system
+prompt and emits the summary plus audit-grade
+model-provenance fields.
+
+## Capability
+
+- `text.summarize@0.1.0`
+
+## Inputs
+
+| Name        | Type | Description                                                                  |
+| ----------- | ---- | ---------------------------------------------------------------------------- |
+| `text`      | text | Source text to summarise.                                                    |
+| `style`     | text | Optional style hint (e.g. `one paragraph`, `three bullet points`, `a tweet`). Default: `one paragraph`. |
+| `language`  | text | Optional output-language hint (e.g. `German`, `ja-JP`). Empty = same as source. |
+| `endpoint`  | text | Ollama-shaped `/api/chat` endpoint URL.                                      |
+| `model`     | text | Model identifier the endpoint serves.                                        |
+| `api_key`   | text | Optional bearer token for cloud-hosted endpoints.                            |
+
+## Outputs
+
+| Name             | Type | Description                                                  |
+| ---------------- | ---- | ------------------------------------------------------------ |
+| `summary`        | text | The summary.                                                 |
+| `style`          | text | Echo of the input style.                                     |
+| `language`       | text | Echo of the input language.                                  |
+| `model_endpoint` | text | URL the summary was generated against.                       |
+| `model_name`     | text | Model identifier as supplied to the LLM API.                 |
+| `model_digest`   | text | SHA-256 digest of the served Ollama model (when reachable).  |
+
+## Fidelity over creativity
+
+The system prompt is tuned so the summary is derivable from
+the source — no speculation, no implied context, no
+"creative" rephrasing that drifts. Suitable for compliance
+flows where a hallucinated summary is worse than a verbose
+one. The model still has the freedom the operator's chosen
+LLM gives it; this module is the prompt + audit harness, not
+a fine-tuned model.
+
+## Permissions
+
+```yaml
+permissions:
+  - "net: localhost"
+  - "net: 127.0.0.1"
+  - "net: api.openai.com"
+  - "net: api.anthropic.com"
+```
+
+Same shape as `text.translate` — local Ollama by default,
+opt-in cloud via operator policy.
+
+## Limits in v0.1.0
+
+- Single-shot. Very long source texts (>32k tokens depending
+  on the model) need an upstream chunker; v0.1.0 does not yet
+  do automatic chunked-summarise + reduce.
+- No structured output. `summary` is free-form text. JSON-
+  formatted summaries (e.g. `{ key_points: [], conclusions:
+  [] }`) are a v0.2.0 candidate.
+
+## Example flow
+
+```yaml
+name: extract-summarise
+inputs:
+  document: bytes
+steps:
+  - id: extract
+    use: text.extract@^0
+    with:
+      document: $inputs.document
+  - id: summarise
+    use: text.summarize@^0
+    with:
+      text: $extract.extracted.pages[*].text
+      style: "three bullet points"
+      endpoint: "http://localhost:11434/api/chat"
+      model: "qwen2.5:14b"
+outputs:
+  summary: $summarise.summary
+  audit_model: $summarise.model_digest
+```
+
+## Build
+
+```bash
+cargo build --release --target wasm32-wasip2
+# Output: target/wasm32-wasip2/release/text_summarize.wasm
+```