[MLOB-4216] update submit evaluation deprecation warning (#32260)

* update submit evaluation deprecation warning

* update more instances of submit_evaluation documentation

* update next major version

* add missing arg and update notice

Author: ncybul

content/en/llm_observability/evaluations/external_evaluations.md

@@ -25,7 +25,7 @@ While LLM Observability provides a few out-of-the-box evaluations for your trace
 
 ## Submitting external evaluations with the SDK
 
-The LLM Observability SDK provides the methods `LLMObs.submit_evaluation_for()` and `LLMObs.export_span()` to help your traced LLM application submit external evaluations to LLM Observability. See the [Python][3] or [Node.js][4] SDK documentation for more details.
+The LLM Observability SDK provides the methods `LLMObs.submit_evaluation()` and `LLMObs.export_span()` to help your traced LLM application submit external evaluations to LLM Observability. See the [Python][3] or [Node.js][4] SDK documentation for more details.
 
 ### Example
 
@@ -97,4 +97,4 @@ You can use the evaluations API provided by LLM Observability to send evaluation
 [1]: /metrics/custom_metrics/#naming-custom-metrics
 [2]: /llm_observability/setup/api/?tab=model#evaluations-api
 [3]: /llm_observability/setup/sdk/python/#evaluations
-[4]: /llm_observability/setup/sdk/nodejs/#evaluations
+[4]: /llm_observability/setup/sdk/nodejs/#evaluations

content/en/llm_observability/evaluations/submit_nemo_evaluations.md

@@ -47,7 +47,7 @@ To integrate Datadog's LLM Observability with NeMo Evaluator, submit your NeMo e
    In the snippet above, `span_context` is a dictionary containing `span_id` and `trace_id`.
 
 
-2. **Prepare your outputs file**. In this example, the outputs file is named `outputs.json`. 
+2. **Prepare your outputs file**. In this example, the outputs file is named `outputs.json`.
 
    {{< highlight json "hl_lines=7">}}
    [
@@ -135,7 +135,7 @@ To integrate Datadog's LLM Observability with NeMo Evaluator, submit your NeMo e
            continue
 
        LLMObs.submit_evaluation(
-         span_context={
+         span={
            "trace_id": meta['trace_id'],
            "span_id": meta['span_id']
          },
@@ -165,4 +165,4 @@ You can view a breakdown of your NeMo Evaluator's model evaluation results in LL
 
 [1]: /llm_observability/setup/sdk/python
 [2]: /llm_observability/cluster_map
-[3]: https://docs.nvidia.com/nemo-framework/user-guide/latest/overview.html
+[3]: https://docs.nvidia.com/nemo-framework/user-guide/latest/overview.html

content/en/llm_observability/instrumentation/sdk.md

@@ -1985,13 +1985,13 @@ llmCall = llmobs.wrap({ kind: 'llm', name: 'invokeLLM', modelName: 'claude', mod
 
 {{< tabs >}}
 {{% tab "Python" %}}
-`LLMObs.submit_evaluation_for()` can be used to submit your custom evaluation associated with a given span.
+`LLMObs.submit_evaluation()` can be used to submit your custom evaluation associated with a given span.
 
-<div class="alert alert-info"><code>LLMObs.submit_evaluation</code> is deprecated and will be removed in ddtrace 3.0.0. As an alternative, use <code>LLMObs.submit_evaluation_for</code>.</div>
+<div class="alert alert-info"><code>LLMObs.submit_evaluation_for</code> is deprecated and will be removed in the next major version of ddtrace (4.0). To migrate, rename your <code>LLMObs.submit_evaluation_for</code> calls with <code>LLMObs.submit_evaluation</code>.</div>
 
 **Note**: Custom evaluations are evaluators that you implement and host yourself. These differ from out-of-the-box evaluations, which are automatically computed by Datadog using built-in evaluators. To configure out-of-the-box evaluations for your application, use the [**LLM Observability** > **Settings** > **Evaluations**][1] page in Datadog.
 
-The `LLMObs.submit_evaluation_for()` method accepts the following arguments:
+The `LLMObs.submit_evaluation()` method accepts the following arguments:
 
 {{% collapse-content title="Arguments" level="h4" expanded=false id="submit-evals-arguments" %}}
 `label`
@@ -2053,7 +2053,7 @@ def llm_call():
         tags = {'msg_id': msg_id}
     )
 
-    LLMObs.submit_evaluation_for(
+    LLMObs.submit_evaluation(
         span_with_tag_value = {
             "tag_key": "msg_id",
             "tag_value": msg_id