feat: add agent_id, run_id, step_id to summarization provider traces (#8996)

* feat: add agent_id, run_id, step_id to summarization provider traces

Summarization LLM calls were missing telemetry context (agent_id,
agent_tags, run_id, step_id), making it impossible to attribute
summarization costs to specific agents or trace them back to the
step that triggered compaction.

Changes:
- Add step_id param to simple_summary() and set_telemetry_context()
- Add agent_id, agent_tags, run_id, step_id to summarize_all() and
  summarize_via_sliding_window()
- Update Summarizer class to accept and pass telemetry context
- Update LettaAgentV3.compact() to pass full telemetry context
- Update LettaAgentV2.summarize_conversation_history() with run_id/step_id
- Update LettaAgent (v1) streaming methods with run_id param
- Add run_id/step_id to SummarizeParams for Temporal activities

🤖 Generated with [Letta Code](https://letta.com)

Co-Authored-By: Letta <noreply@letta.com>

* fix: update test mock to accept new summarization params

🤖 Generated with [Letta Code](https://letta.com)

Co-Authored-By: Letta <noreply@letta.com>

---------

Co-authored-by: Letta <noreply@letta.com>

tests/integration_test_summarizer.py

@@ -816,7 +816,7 @@ async def test_v3_compact_uses_compaction_settings_model_and_model_settings(serv
 
     captured_llm_config: dict = {}
 
-    async def fake_simple_summary(messages, llm_config, actor, include_ack=True, prompt=None):  # type: ignore[override]
+    async def fake_simple_summary(messages, llm_config, actor, include_ack=True, prompt=None, **kwargs):  # type: ignore[override]
         captured_llm_config["value"] = llm_config
         return "summary text"