From 93089caf5e97eeecfbf6a3300305625eb9866744 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E9=B8=A3=E5=B1=B1?= <dengjiaji.djj@antgroup.com>
Date: Tue, 17 Jun 2025 21:28:03 +0800
Subject: [PATCH] add pipeline to readme.md

---
 README.md                     | 25 +++++++++++++++++++++++++
 cookbook/step_agent/readme.md |  6 +++---
 pyproject.toml                |  4 ++--
 3 files changed, 30 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index 6214d6a6..f51c00d3 100644
--- a/README.md
+++ b/README.md
@@ -55,6 +55,31 @@ python -m experiencemaker.em_service \
  --summarizer='{"backend": "simple"}'
 ```
 
+- You can also use the more comprehensive StepSummarizer and StepContextGenerator, which provide more fine-grained functionality for processing trajectories (for more comprehensive documentation, see: cookbook/step_agent/readme.md)
+```shell
+python -m experiencemaker.em_service \
+--port=8001 \
+--llm='{"backend": "openai_compatible", "model_name": "qwen-max-2025-01-25", "temperature": 0.6}' \
+--embedding_model='{"backend": "openai_compatible", "model_name": "text-embedding-v4", "dimensions": 1024}' \
+--vector_store='{"backend": "elasticsearch"}' \
+--agent_wrapper='{"backend": "simple"}' \
+--context_generator='{"backend": "step", "enable_llm_rerank": true, "enable_context_rewrite": true, "enable_score_filter": false, "vector_retrieve_top_k": 15, "final_top_k": 5, "min_score_threshold": 0.3}' \
+--summarizer='{"backend": "step", "enable_step_segmentation": false, "enable_similar_comparison": false, "enable_experience_validation": true, "max_retries": 3,"max_workers":16}'
+
+# Parameter Description
+
+## StepSummarizer
+### enable_step_segmentation: Segment trajectories into meaningful step sequences
+### enable_similar_comparison: Compare similar sequences between success/failure
+### enable_experience_validation: Validate experience quality before storage
+
+## StepContextGenerator
+### enable_llm_rerank: Rerank retrieved experiences by relevance using LLM
+### enable_context_rewrite: Rewrite context to be more task-specific
+### enable_score_filter: Filter experiences by quality scores
+```
+
+
 ### Step2: Enhance Your Own Agent
 
 Call the capabilities of ContextGenerator and Summarizer through `EMClient`.
diff --git a/cookbook/step_agent/readme.md b/cookbook/step_agent/readme.md
index 98feb099..2d985b74 100644
--- a/cookbook/step_agent/readme.md
+++ b/cookbook/step_agent/readme.md
@@ -1,10 +1,10 @@
 # Step Summarizer & Context Generator
 
-A step-level experience extraction and context generation system for the ExperienceMaker framework.
+A step-level experience extraction and context generation module for the ExperienceMaker framework.
 
 ## Overview
-
-This system provides advanced step-level experience extraction and context generation capabilities:
+![pipeline.png](pipeline.png)
+This module provides advanced step-level experience extraction and context generation capabilities:
 
 - **StepSummarizer**: Extracts reusable experiences from individual steps or step sequences in trajectories
 - **StepContextGenerator**: Retrieves and utilizes step-level experiences to provide relevant context for agent execution
diff --git a/pyproject.toml b/pyproject.toml
index 17b447f9..8fde5105 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -19,9 +19,9 @@ dependencies = [
     "arxiv",
     "tqdm",
     "requests_oauthlib",
-    "teamwork-mcp>=0.2.1",
+#    "teamwork-mcp>=0.2.1",
     "agentscope",
-    "beyond @ file:///${PROJECT_ROOT}/experiencemaker/third_party/beyond",
+#    "beyond @ file:///${PROJECT_ROOT}/experiencemaker/third_party/beyond",
     "astor",
 ]