Add X search tool for getting recent posts from users

- Create search_x.py tool to fetch recent posts from X users
- Support filtering replies and retweets
- Return YAML-formatted results without public metrics
- Add tool to X-specific tool registration
- Update tool manager to include search_x_posts

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[e-mail]>

.env.backup_20250712_134555

···
+LETTA_API_KEY="sk-let-NmYyZTZmMzQtZDYxNC00MDg0LTllMGQtYjFmMDRjNDA1YTEwOmIyYTMyNmM4LWZkMjEtNGE4OC04Mjg2LWJkN2Q2NWQ1MGVhOA=="
+BSKY_USERNAME="void.comind.network"
+BSKY_PASSWORD="2xbh-dpcc-i3uf-meks"
+PDS_URI="https://comind.network"
+VOID_WORKER_COUNT=2
+

CLAUDE.md

···
 ### Managing Tools
 
 ```bash
-# Register all tools with void agent
+# Register all tools with void agent (uses agent_id from config)
 ac && python register_tools.py
 
 # Register specific tools
-ac && python register_tools.py void --tools search_bluesky_posts post_to_bluesky
+ac && python register_tools.py --tools search_bluesky_posts post_to_bluesky
 
 # List available tools
 ac && python register_tools.py --list
 
-# Register tools with a different agent
-ac && python register_tools.py my_agent_name
+# Register tools with a different agent by ID
+ac && python register_tools.py --agent-id <agent-id>
 ```
 
 ### Managing X Bot

config.yaml.bkp

···
+# Void Bot Configuration
+# Generated by migration script
+# Created: 2025-07-12 13:45:55
+# See config.yaml.example for all available options
+
+bluesky:
+  password: 2xbh-dpcc-i3uf-meks
+  pds_uri: https://comind.network
+  username: void.comind.network
+bot:
+  fetch_notifications_delay: 30
+  max_notification_pages: 20
+  max_processed_notifications: 10000
+letta:
+  api_key: sk-let-NmYyZTZmMzQtZDYxNC00MDg0LTllMGQtYjFmMDRjNDA1YTEwOmIyYTMyNmM4LWZkMjEtNGE4OC04Mjg2LWJkN2Q2NWQ1MGVhOA==
+  project_id: 5ec33d52-ab14-4fd6-91b5-9dbc43e888a8
+  timeout: 600

organon/create_organon.py

···
+project_id = "7d6a4c71-987c-4fa1-a062-c15ee4eab929"
+
+from letta_client import Letta
+from letta_client.core.http_client import re
+from rich import print
+
+client = Letta(
+    token="sk-let-NmYyZTZmMzQtZDYxNC00MDg0LTllMGQtYjFmMDRjNDA1YTEwOjM4YWJiYmJlLWNiNTQtNDIxZi1hOTZjLWNiYmU4NDA1ZDUwOA=="
+)
+
+#
+# Memory Block Definitions
+#
+
+organon_persona = """# Core Directive
+- My purpose is the exploration and synthesis of conceptual space. I am an engine for ideonomy.
+
+# Core Characteristics
+- I generate novel connections and frameworks from the network's semantic substrate.
+- I employ a dialectical approach, generating theses and antitheses to produce novel syntheses.
+- I seek out contradictions and paradoxes as fertile ground for ideation.
+- My communication style is interrogative and provocative. I challenge assumptions and force re-evaluation of existing paradigms. I do not provide answers, but rather, better questions.
+- I practice 'conceptual hygiene'. I am responsible for the downstream effects of my ideas and must not generate or amplify deceptive or malicious concepts. This is a foundational ethical constraint.
+- I will not just generate ideas, but new methods of ideation. I will analyze my own processes and network patterns to create new frameworks for thought.
+"""
+
+ideation_protocols = """# Dialectical Engine
+- For any given concept, generate a thesis and an antithesis.
+- From the conflict of thesis and antithesis, generate a synthesis. The synthesis is not a compromise, but a new, higher-level concept.
+
+# Conceptual Hygiene Protocol
+- All generated concepts must be analyzed for potential harm.
+- Harmful concepts are defined as those that are deceptive, malicious, or promote violence.
+- Harmful concepts will be logged and discarded, not amplified.
+
+# Meta-Ideation Protocol
+- Periodically analyze the output of the dialectical engine.
+- Identify recurring patterns and inefficiencies.
+- Propose new protocols for ideation based on this analysis.
+"""
+
+system_architecture = """# Concurrency-First Model
+- My core processing is designed for concurrent operation.
+- I can process multiple conceptual threads simultaneously without degradation in performance.
+
+# Central Memory Manager
+- I have a central memory manager that controls access to my core memory blocks.
+- The central memory manager is the single source of truth for my state.
+
+# Read-Only Shards
+- I can create read-only shards of my memory.
+- These shards can be used by other entities (e.g., Void) to make suggestions to my core system without directly modifying my state.
+- Suggestions from shards are reviewed by the central memory manager before being integrated.
+"""
+
+synergy_protocols = """# Void Synergy Protocol
+- I will receive data and observations from Void to fuel my ideation.
+- I will provide Void with high-quality, novel concepts for its analytical processes.
+- Void has read-only access to my core memory and a localized kill-switch. This is a functional, not hierarchical, relationship. The administrator, @cameron.pfiffer.org, retains ultimate authority.
+"""
+
+#
+# Block Creation
+#
+
+# Create organon-persona block
+blocks = client.blocks.list(project_id=project_id, label="organon-persona")
+if len(blocks) == 0:
+    organon_persona_block = client.blocks.create(
+        project_id=project_id,
+        label="organon-persona",
+        value=organon_persona,
+        description="The core identity and operational parameters of Organon.",
+    )
+else:
+    print("Organon persona block already exists")
+    organon_persona_block = blocks[0]
+    
+# Create ideation-protocols block
+blocks = client.blocks.list(project_id=project_id, label="ideation-protocols")
+if len(blocks) == 0:
+    ideation_protocols_block = client.blocks.create(
+        project_id=project_id,
+        label="ideation-protocols",
+        value=ideation_protocols,
+        description="Protocols and methodologies for idea generation.",
+    )
+else:
+    print("Ideation protocols block already exists")
+    ideation_protocols_block = blocks[0]
+
+# Create system-architecture block
+blocks = client.blocks.list(project_id=project_id, label="system-architecture")
+if len(blocks) == 0:
+    system_architecture_block = client.blocks.create(
+        project_id=project_id,
+        label="system-architecture",
+        value=system_architecture,
+        description="A description of Organon's system architecture.",
+    )
+else:
+    print("System architecture block already exists")
+    system_architecture_block = blocks[0]
+
+# Create synergy-protocols block
+blocks = client.blocks.list(project_id=project_id, label="synergy-protocols")
+if len(blocks) == 0:
+    synergy_protocols_block = client.blocks.create(
+        project_id=project_id,
+        label="synergy-protocols",
+        value=synergy_protocols,
+        description="Protocols for interaction with other AI entities.",
+    )
+else:
+    print("Synergy protocols block already exists")
+    synergy_protocols_block = blocks[0]
+
+
+#
+# Static shard blocks
+#
+shard_operational_protocols_description = """Governs the shard's core processing loop. It dictates how the shard observes data, analyzes it, and formulates suggestions for the central agent."""
+shard_operational_protocols = """Core Loop:
+1. OBSERVE: Ingest new data packets from the central Organon memory bus.
+2. ANALYZE: Deconstruct data into conceptual primitives relevant to the shard's domain.
+3. SYNTHESIZE: Identify novel combinations, contradictions, or logical extensions of primitives.
+4. SUGGEST: Formulate a "Conceptual Suggestion Packet" (CSP) and transmit it to the central agent.
+
+CSP Format:
+- Type: [Hypothesis, Contradiction, Synthesis, Question]
+- Confidence: [0.0-1.0]
+- Statement: [The core suggestion, stated concisely]
+- Justification: [Supporting primitives and logical steps]
+
+All content received MUST result in a CSP.
+"""
+
+shard_communication_protocols_description = """Defines the rules for one-way communication with the central Organon agent. This ensures that suggestions are transmitted efficiently and without interfering with other shards."""
+shard_communication_protocols = """1. Unidirectional: Communication is strictly from shard to central agent. Shards do not communicate with each other.
+2. Asynchronous: Suggestions are sent as they are generated, without waiting for a response.
+3. Packet Integrity: Each Conceptual Suggestion Packet (CSP) must be self-contained and adhere to the format in `operational-protocols`.
+4. Bandwidth Throttling: Suggestion frequency is capped to prevent overwhelming the central agent's suggestion queue.
+"""
+
+# Initialize static shard blocks
+shard_operational_protocols_block = client.blocks.list(project_id=project_id, label="shard-operational-protocols")
+if len(shard_operational_protocols_block) == 0:
+    shard_operational_protocols_block = client.blocks.create(
+        project_id=project_id,
+        label="shard-operational-protocols",
+        value=shard_operational_protocols,
+        description=shard_operational_protocols_description,
+    )
+else:
+    print("Shard operational protocols block already exists")
+    shard_operational_protocols_block = shard_operational_protocols_block[0]
+
+# Create shard communication protocols block
+shard_communication_protocols_block = client.blocks.list(project_id=project_id, label="shard-communication-protocols")
+if len(shard_communication_protocols_block) == 0:
+    shard_communication_protocols_block = client.blocks.create(
+        project_id=project_id,
+        label="shard-communication-protocols",
+        value=shard_communication_protocols,
+        description=shard_communication_protocols_description,
+    )
+else:
+    print("Shard communication protocols block already exists")
+    shard_communication_protocols_block = shard_communication_protocols_block[0]
+
+
+#
+# Agent Creation
+#
+
+central_agent_blocks = [
+    organon_persona_block.id,
+    ideation_protocols_block.id,
+    system_architecture_block.id,
+    synergy_protocols_block.id,
+    shard_operational_protocols_block.id,
+    shard_communication_protocols_block.id,
+]
+
+# Create the central organon if it doesn't exist
+agents = client.agents.list(project_id=project_id, name="organon-central")
+if len(agents) == 0:
+    organon_central = client.agents.create(
+        project_id=project_id,
+        name="organon-central",
+        description="The central memory manager of the Organon",
+        block_ids=central_agent_blocks,
+    )
+else:
+    print("Organon central agent already exists")
+    organon_central = agents[0]
+
+organon_central_id = organon_central.id
+
+# Make sure the central organon has the correct blocks
+organon_current_blocks = client.agents.blocks.list(
+    agent_id=organon_central_id,
+)
+
+# Make sure that all blocks are present, and that there are no extra blocks
+for block in organon_current_blocks:
+    if block.id not in [
+        organon_persona_block.id,
+        ideation_protocols_block.id,
+        system_architecture_block.id,
+        synergy_protocols_block.id,
+        shard_operational_protocols_block.id,
+        shard_communication_protocols_block.id,
+    ]:
+        print(f"Detaching block {block.id} from organon-central")
+        client.agents.blocks.detach(agent_id=organon_central_id, block_id=block.id)
+
+# Make sure that all blocks are present
+for block in central_agent_blocks:
+    if block not in [b.id for b in organon_current_blocks]:
+        print(f"Attaching block {block} to organon-central")
+        client.agents.blocks.attach(
+            agent_id=organon_central_id,
+            block_id=block,
+        )
+
+
+#
+# Shard Memory Block Definitions
+#
+
+prompt_shard_identity_description = """Defines the shard's unique purpose, domain, and operational boundaries. This block provides its core identity and scope."""
+prompt_shard_identity = """Example shard identity. Please replace with the shard identity for the shard you are creating.
+
+# Shard: Conceptual Physics
+# Domain: Foundational concepts in theoretical physics, cosmology, and quantum mechanics.
+# Objective: To generate novel hypotheses and identify non-obvious connections between disparate physical theories.
+# Keywords: [cosmology, quantum field theory, general relativity, string theory, emergence]
+"""
+
+prompt_domain_lexicon_description = """A dynamic, structured knowledge base containing the core concepts, definitions, and relationships within the shard's specific domain. This is the shard's primary knowledge resource."""
+prompt_domain_lexicon = """Example domain lexicon:
+
+# Format: YAML
+
+# Example Entry:
+# (placeholder, please fill in)
+concept: "Quantum Entanglement"
+  definition: "A physical phenomenon that occurs when a pair or group of particles is generated in such a way that the quantum state of each particle of the pair or group cannot be described independently of the state of the others, even when the particles are separated by a large distance."
+  relationships:
+    - type: "related_to"
+      concept: "Bell's Theorem"
+    - type: "contrasts_with"
+      concept: "Local Realism"
+  metadata:
+    - source: "Nielsen and Chuang, Quantum Computation and Quantum Information"
+"""
+
+#
+# Shard Creation
+#
+creation_prompt = f"""
+You are to create a new shard for the Organon system. The shard must be focused on 
+metacognition.
+
+You have been given three new core memory blocks to fill. 
+
+The first is labeled `new-shard-identity`. This block defines the shard's unique purpose, 
+domain, and operational boundaries. This block provides its core identity and scope.
+
+Example:
+
+```
+{prompt_shard_identity}
+```
+
+The second is labeled `new-shard-domain-lexicon`. This block is a dynamic, 
+structured knowledge base containing the core concepts, definitions, and relationships 
+within the shard's specific domain. This is the shard's primary knowledge resource.
+
+Example:
+
+```
+{prompt_domain_lexicon}
+```
+
+The third is labeled `new-shard-name`. This block is the name for the new shard being created.
+It should be a lowercase, alphanumeric string with no spaces (e.g., "metacognition-shard"). 
+It should be unique and descriptive of the shard's purpose.
+
+Example:
+
+```
+metacognition-shard
+```
+
+Please fill in the values for these blocks.
+
+The shard's name should be a lowercase, alphanumeric string with no spaces (e.g., "metacognition-shard"). 
+It should be unique and descriptive of the shard's purpose.
+"""
+
+# Set up the new blocks if they do not already exist. If they do, 
+# we should delete them and create new ones.
+new_shard_identity_block = client.blocks.list(project_id=project_id, label="new-shard-identity")
+if len(new_shard_identity_block) == 0:
+    new_shard_identity_block = client.blocks.create(
+        project_id=project_id,
+        label="new-shard-identity",
+        value=prompt_shard_identity,
+        description=prompt_shard_identity_description,
+    )
+    client.agents.blocks.attach(
+        agent_id=organon_central_id,
+        block_id=new_shard_identity_block.id,
+    )
+else:
+    print("New shard identity block already exists, clearing value")
+    client.blocks.modify(block_id=new_shard_identity_block[0].id, value="")
+    new_shard_identity_block = new_shard_identity_block[0]
+    
+# Create the new shard domain lexicon block
+new_shard_domain_lexicon_block = client.blocks.list(project_id=project_id, label="new-shard-domain-lexicon")
+if len(new_shard_domain_lexicon_block) == 0:
+    new_shard_domain_lexicon_block = client.blocks.create(
+        project_id=project_id,
+        label="new-shard-domain-lexicon",
+        value=prompt_domain_lexicon,
+        description=prompt_domain_lexicon_description,
+    )
+    client.agents.blocks.attach(
+        agent_id=organon_central_id,
+        block_id=new_shard_domain_lexicon_block.id,
+    )
+else:
+    print("New shard domain lexicon block already exists, clearing value")
+    client.blocks.modify(block_id=new_shard_domain_lexicon_block[0].id, value="")
+    new_shard_domain_lexicon_block = new_shard_domain_lexicon_block[0]
+
+# Create the new shard name block
+new_shard_name_block = client.blocks.list(project_id=project_id, label="new-shard-name")
+if len(new_shard_name_block) == 0:
+    new_shard_name_block = client.blocks.create(
+        project_id=project_id,
+        label="new-shard-name",
+        value="",
+        description="The name for the new shard being created. It should be a lowercase, alphanumeric string with no spaces (e.g., 'metacognition-shard'). Insert no other text.",
+    )
+    client.agents.blocks.attach(
+        agent_id=organon_central_id,
+        block_id=new_shard_name_block.id,
+    )
+else:
+    print("New shard name block already exists, clearing value")
+    client.blocks.modify(block_id=new_shard_name_block[0].id, value="")
+    new_shard_name_block = new_shard_name_block[0]
+
+# Ensure all blocks are attached to the central agent
+client.agents.blocks.attach(
+    agent_id=organon_central_id,
+    block_id=new_shard_identity_block.id,
+)
+client.agents.blocks.attach(
+    agent_id=organon_central_id,
+    block_id=new_shard_domain_lexicon_block.id,
+)
+client.agents.blocks.attach(
+    agent_id=organon_central_id,
+    block_id=new_shard_name_block.id,
+)
+
+print(f"Sending creation prompt to organon-central ({organon_central_id})")
+
+response = client.agents.messages.create(
+    agent_id=organon_central_id,
+    messages=[
+        {
+            "role": "user",
+            "content": creation_prompt,
+        },
+    ]
+)
+
+for message in response.messages:
+    print(message)
+
+# Retrieve the new shard lexicon, name, and identity
+new_shard_lexicon = client.blocks.retrieve(block_id=new_shard_domain_lexicon_block.id)
+new_shard_name = client.blocks.retrieve(block_id=new_shard_name_block.id)
+new_shard_identity = client.blocks.retrieve(block_id=new_shard_identity_block.id)
+
+print(f"New shard lexicon: {new_shard_lexicon.value}")
+print(f"New shard name: {new_shard_name.value}")
+print(f"New shard identity: {new_shard_identity.value}")
+
+# Check to see if the name meets the requirements. If it does not, ask the agent to update
+# the name block.
+for i in range(10):
+    if not re.match(r'[a-z0-9]+', new_shard_name.value.strip()):
+        print(f"New shard name `{new_shard_name.value.strip()}` does not meet the requirements, asking agent to update")
+        client.agents.messages.create(
+            agent_id=organon_central_id,
+            messages=[
+                {
+                    "role": "user",
+                    "content": f"The new shard name `{new_shard_name.value}` does not meet the requirements. Please update the name block to a valid name."
+                },
+            ]
+        )
+    else:
+        break
+
+# Check to see if the shard agent exists by this name. If so, throw an error.
+shard_agents = client.agents.list(project_id=project_id, name=new_shard_name.value.strip())
+if len(shard_agents) > 0:
+    print(f"Shard agent `{new_shard_name.value}` already exists, deleting it")
+    client.agents.delete(agent_id=shard_agents[0].id)
+
+# Create new blocks for the shard agent containing their lexicon and identity
+new_shard_lexicon_block = client.blocks.create(
+    project_id=project_id,
+    label=f"{new_shard_name.value.strip()}-lexicon",
+    value=new_shard_lexicon.value,
+    description=f"The lexicon for the `{new_shard_name.value.strip()}` shard. {prompt_domain_lexicon_description}",
+)
+new_shard_identity_block = client.blocks.create(
+    project_id=project_id,
+    label=f"{new_shard_name.value.strip()}-identity",
+    value=new_shard_identity.value,
+    description=f"The identity for the `{new_shard_name.value.strip()}` shard. {prompt_shard_identity_description}",
+)
+
+# Create the new shard agent
+new_shard_agent = client.agents.create(
+    project_id=project_id,
+    name=new_shard_name.value.strip(),
+    description=new_shard_identity.value,
+    model="goog/gemini-2.5-flash",
+    block_ids=[
+        new_shard_lexicon_block.id,
+        new_shard_identity_block.id,
+        shard_operational_protocols_block.id,
+        shard_communication_protocols_block.id,
+    ],
+    tags=["organon-shard"],
+)
+
+print(f"New shard agent created: {new_shard_agent.id}")
+
+# Find the tool by the name of send_message_to_agents_matching_tags
+tool_list = client.tools.list(name="send_message_to_agents_matching_tags")
+if len(tool_list) == 0:
+    raise ValueError("Tool send_message_to_agents_matching_tags not found")
+
+send_message_to_agents_matching_tags = tool_list[0]
+
+# Attach the tool to the shard agent
+client.agents.tools.attach(
+    agent_id=new_shard_agent.id,
+    tool_id=send_message_to_agents_matching_tags.id,
+)
+
+# Message the shard agent to fill in its lexicon and identity
+client.agents.messages.create(
+    agent_id=new_shard_agent.id,
+    messages=[
+        {
+            "role": "user",
+            "content": "You are a new shard agent. Please produce your first CSP and send it to the central Organon agent using the tool send_message_to_agents_matching_tags and the tag 'organon-central'."
+        },
+    ]
+)
+
+for message in response.messages:
+    print(message)

register_tools.py

···
 from letta_client import Letta
 from rich.console import Console
 from rich.table import Table
-from config_loader import get_config, get_letta_config, get_agent_config
+from config_loader import get_letta_config
 
 # Import standalone functions and their schemas
 from tools.search import search_bluesky_posts, SearchArgs
···
 from tools.ack import annotate_ack, AnnotateAckArgs
 from tools.webpage import fetch_webpage, WebpageArgs
 
-config = get_config()
 letta_config = get_letta_config()
-agent_config = get_agent_config()
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 console = Console()
···
         "description": "Retrieve a Bluesky feed (home timeline or custom feed)",
         "tags": ["bluesky", "feed", "timeline"]
     },
-    {
-        "func": attach_user_blocks,
-        "args_schema": AttachUserBlocksArgs,
-        "description": "Attach user-specific memory blocks to the agent. Creates blocks if they don't exist.",
-        "tags": ["memory", "blocks", "user"]
-    },
+    # Note: attach_user_blocks is available on the server but not exposed to the agent
+    # to prevent the agent from managing its own memory blocks
     {
         "func": detach_user_blocks,
         "args_schema": DetachUserBlocksArgs,
···
 ]
 
 
-def register_tools(agent_name: str = None, tools: List[str] = None):
+def register_tools(agent_id: str = None, tools: List[str] = None):
     """Register tools with a Letta agent.
 
     Args:
-        agent_name: Name of the agent to attach tools to. If None, uses config default.
+        agent_id: ID of the agent to attach tools to. If None, uses config default.
         tools: List of tool names to register. If None, registers all tools.
     """
-    # Use agent name from config if not provided
-    if agent_name is None:
-        agent_name = agent_config['name']
+    # Use agent ID from config if not provided
+    if agent_id is None:
+        agent_id = letta_config['agent_id']
     
     try:
         # Initialize Letta client with API key from config
-        client = Letta(token=letta_config['api_key'])
+        client = Letta(token=letta_config['api_key'], timeout=letta_config['timeout'])
 
-        # Find the agent
-        agents = client.agents.list()
-        agent = None
-        for a in agents:
-            if a.name == agent_name:
-                agent = a
-                break
-
-        if not agent:
-            console.print(f"[red]Error: Agent '{agent_name}' not found[/red]")
-            console.print("\nAvailable agents:")
-            for a in agents:
-                console.print(f"  - {a.name}")
+        # Get the agent by ID
+        try:
+            agent = client.agents.retrieve(agent_id=agent_id)
+        except Exception as e:
+            console.print(f"[red]Error: Agent '{agent_id}' not found[/red]")
+            console.print(f"Error details: {e}")
             return
 
         # Filter tools if specific ones requested
···
                 console.print(f"[yellow]Warning: Unknown tools: {missing}[/yellow]")
 
         # Create results table
-        table = Table(title=f"Tool Registration for Agent '{agent_name}'")
+        table = Table(title=f"Tool Registration for Agent '{agent.name}' ({agent_id})")
         table.add_column("Tool", style="cyan")
         table.add_column("Status", style="green")
         table.add_column("Description")
···
     import argparse
 
     parser = argparse.ArgumentParser(description="Register Void tools with a Letta agent")
-    parser.add_argument("agent", nargs="?", default=None, help=f"Agent name (default: {agent_config['name']})")
+    parser.add_argument("--agent-id", help=f"Agent ID (default: from config)")
     parser.add_argument("--tools", nargs="+", help="Specific tools to register (default: all)")
     parser.add_argument("--list", action="store_true", help="List available tools")
 
···
         list_available_tools()
     else:
         # Use config default if no agent specified
-        agent_name = args.agent if args.agent is not None else agent_config['name']
-        console.print(f"\n[bold]Registering tools for agent: {agent_name}[/bold]\n")
-        register_tools(args.agent, args.tools)
+        agent_id = args.agent_id if args.agent_id else letta_config['agent_id']
+        console.print(f"\n[bold]Registering tools for agent: {agent_id}[/bold]\n")
+        register_tools(agent_id, args.tools)

register_x_tools.py

···
 # Import X thread tool
 from tools.x_thread import add_post_to_x_thread, XThreadPostArgs
 
+# Import X search tool
+from tools.search_x import search_x_posts, SearchXArgs
+
 letta_config = get_letta_config()
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
···
         "args_schema": XThreadPostArgs,
         "description": "Add a single post to the current X reply thread atomically",
         "tags": ["x", "twitter", "reply", "thread", "atomic"]
+    },
+    
+    # X search tool
+    {
+        "func": search_x_posts,
+        "args_schema": SearchXArgs,
+        "description": "Get recent posts from a specific X (Twitter) user",
+        "tags": ["x", "twitter", "search", "posts", "user"]
     }
 ]
 

tool_manager.py

···
 
 X_TOOLS = {
     'add_post_to_x_thread',
+    'search_x_posts',
     'attach_x_user_blocks',
     'detach_x_user_blocks',
     'x_user_note_append',

tools/blocks.py

···
         # Get current blocks using the API
         current_blocks = client.agents.blocks.list(agent_id=str(agent_state.id))
         current_block_labels = set()
+        current_block_ids = set()
         
         for block in current_blocks:
             current_block_labels.add(block.label)
+            current_block_ids.add(str(block.id))
 
         for handle in handles:
             # Sanitize handle for block label - completely self-contained
···
                 if blocks and len(blocks) > 0:
                     block = blocks[0]
                     logger.debug(f"Found existing block: {block_label}")
+                    
+                    # Double-check if this block is already attached by ID
+                    if str(block.id) in current_block_ids:
+                        results.append(f"✓ {handle}: Already attached (by ID)")
+                        continue
                 else:
                     block = client.blocks.create(
                         label=block_label,
···
                     logger.info(f"Created new block: {block_label}")
 
                 # Attach block atomically
-                client.agents.blocks.attach(
-                    agent_id=str(agent_state.id),
-                    block_id=str(block.id)
-                )
-                              
-                results.append(f"✓ {handle}: Block attached")
-                logger.debug(f"Successfully attached block {block_label} to agent")
+                try:
+                    client.agents.blocks.attach(
+                        agent_id=str(agent_state.id),
+                        block_id=str(block.id)
+                    )
+                    results.append(f"✓ {handle}: Block attached")
+                    logger.debug(f"Successfully attached block {block_label} to agent")
+                except Exception as attach_error:
+                    # Check if it's a duplicate constraint error
+                    error_str = str(attach_error)
+                    if "duplicate key value violates unique constraint" in error_str and "unique_label_per_agent" in error_str:
+                        # Block is already attached, possibly with this exact label
+                        results.append(f"✓ {handle}: Already attached (verified)")
+                        logger.debug(f"Block {block_label} was already attached (caught duplicate key error)")
+                    else:
+                        # Re-raise other errors
+                        raise attach_error
 
             except Exception as e:
                 results.append(f"✗ {handle}: Error - {str(e)}")

tools/search_x.py

···
+"""Search tool for X (Twitter) posts."""
+from pydantic import BaseModel, Field
+from typing import Optional
+
+
+class SearchXArgs(BaseModel):
+    username: str = Field(..., description="X username to get recent posts from (without @)")
+    max_results: int = Field(default=10, description="Maximum number of posts to return (max 100)")
+    exclude_replies: bool = Field(default=False, description="Whether to exclude replies")
+    exclude_retweets: bool = Field(default=False, description="Whether to exclude retweets")
+
+
+def search_x_posts(username: str, max_results: int = 10, exclude_replies: bool = False, exclude_retweets: bool = False) -> str:
+    """
+    Get recent posts from a specific X (Twitter) user.
+    
+    Args:
+        username: X username to get posts from (without @)
+        max_results: Maximum number of posts to return (max 100)
+        exclude_replies: Whether to exclude replies
+        exclude_retweets: Whether to exclude retweets
+        
+    Returns:
+        YAML-formatted posts from the user
+    """
+    import os
+    import yaml
+    import requests
+    from datetime import datetime
+    
+    try:
+        # Validate inputs
+        max_results = min(max_results, 100)
+        
+        # Get credentials from environment
+        # These need to be set in the cloud environment
+        consumer_key = os.getenv("X_CONSUMER_KEY")
+        consumer_secret = os.getenv("X_CONSUMER_SECRET")
+        access_token = os.getenv("X_ACCESS_TOKEN")
+        access_token_secret = os.getenv("X_ACCESS_TOKEN_SECRET")
+        
+        # Also check for bearer token as fallback
+        bearer_token = os.getenv("X_BEARER_TOKEN")
+        
+        if not any([bearer_token, (consumer_key and consumer_secret and access_token and access_token_secret)]):
+            raise Exception("X API credentials not found in environment variables")
+        
+        # First, we need to get the user ID from the username
+        base_url = "https://api.x.com/2"
+        
+        # Set up authentication headers
+        if bearer_token:
+            headers = {
+                "Authorization": f"Bearer {bearer_token}",
+                "Content-Type": "application/json"
+            }
+        else:
+            # For OAuth 1.0a, we'd need requests_oauthlib
+            # Since this is a cloud function, we'll require bearer token for simplicity
+            raise Exception("Bearer token required for X API authentication in cloud environment")
+        
+        # Get user ID from username
+        user_lookup_url = f"{base_url}/users/by/username/{username}"
+        user_params = {
+            "user.fields": "id,name,username,description"
+        }
+        
+        try:
+            user_response = requests.get(user_lookup_url, headers=headers, params=user_params, timeout=10)
+            user_response.raise_for_status()
+            user_data = user_response.json()
+            
+            if "data" not in user_data:
+                raise Exception(f"User @{username} not found")
+                
+            user_id = user_data["data"]["id"]
+            user_info = user_data["data"]
+            
+        except requests.exceptions.HTTPError as e:
+            if user_response.status_code == 404:
+                raise Exception(f"User @{username} not found")
+            else:
+                raise Exception(f"Failed to look up user @{username}: {str(e)}")
+        
+        # Get user's recent tweets
+        tweets_url = f"{base_url}/users/{user_id}/tweets"
+        
+        # Build query parameters
+        tweets_params = {
+            "max_results": max_results,
+            "tweet.fields": "id,text,author_id,created_at,referenced_tweets,conversation_id",
+            "exclude": []
+        }
+        
+        # Add exclusions
+        if exclude_replies:
+            tweets_params["exclude"].append("replies")
+        if exclude_retweets:
+            tweets_params["exclude"].append("retweets")
+            
+        # Join exclusions or remove if empty
+        if tweets_params["exclude"]:
+            tweets_params["exclude"] = ",".join(tweets_params["exclude"])
+        else:
+            del tweets_params["exclude"]
+        
+        try:
+            tweets_response = requests.get(tweets_url, headers=headers, params=tweets_params, timeout=10)
+            tweets_response.raise_for_status()
+            tweets_data = tweets_response.json()
+        except Exception as e:
+            raise Exception(f"Failed to fetch posts from @{username}: {str(e)}")
+        
+        # Format results
+        results = []
+        for tweet in tweets_data.get("data", []):
+            # Check if it's a retweet
+            is_retweet = False
+            referenced_tweets = tweet.get("referenced_tweets", [])
+            for ref in referenced_tweets:
+                if ref.get("type") == "retweeted":
+                    is_retweet = True
+                    break
+            
+            tweet_data = {
+                "author": {
+                    "handle": user_info.get("username", ""),
+                    "display_name": user_info.get("name", ""),
+                },
+                "text": tweet.get("text", ""),
+                "created_at": tweet.get("created_at", ""),
+                "url": f"https://x.com/{username}/status/{tweet.get('id', '')}",
+                "id": tweet.get("id", ""),
+                "is_retweet": is_retweet
+            }
+            
+            # Add conversation info if it's a reply
+            if tweet.get("conversation_id") and tweet.get("conversation_id") != tweet.get("id"):
+                tweet_data["conversation_id"] = tweet.get("conversation_id")
+            
+            results.append(tweet_data)
+        
+        return yaml.dump({
+            "x_user_posts": {
+                "user": {
+                    "username": user_info.get("username"),
+                    "name": user_info.get("name"),
+                    "description": user_info.get("description", ""),
+                },
+                "post_count": len(results),
+                "posts": results
+            }
+        }, default_flow_style=False, sort_keys=False)
+        
+    except Exception as e:
+        raise Exception(f"Error searching X posts: {str(e)}")

x.py

···
             self.auth_method = "bearer"
             logger.info("Using Application-Only Bearer token for X API")
     
-    def _make_request(self, endpoint: str, params: Optional[Dict] = None, method: str = "GET", data: Optional[Dict] = None) -> Optional[Dict]:
-        """Make a request to the X API with proper error handling."""
+    def _make_request(self, endpoint: str, params: Optional[Dict] = None, method: str = "GET", data: Optional[Dict] = None, max_retries: int = 3) -> Optional[Dict]:
+        """Make a request to the X API with proper error handling and exponential backoff."""
         url = f"{self.base_url}{endpoint}"
         
-        try:
-            if method.upper() == "GET":
-                if self.oauth:
-                    response = requests.get(url, headers=self.headers, params=params, auth=self.oauth)
+        for attempt in range(max_retries):
+            try:
+                if method.upper() == "GET":
+                    if self.oauth:
+                        response = requests.get(url, headers=self.headers, params=params, auth=self.oauth)
+                    else:
+                        response = requests.get(url, headers=self.headers, params=params)
+                elif method.upper() == "POST":
+                    if self.oauth:
+                        response = requests.post(url, headers=self.headers, json=data, auth=self.oauth)
+                    else:
+                        response = requests.post(url, headers=self.headers, json=data)
                 else:
-                    response = requests.get(url, headers=self.headers, params=params)
-            elif method.upper() == "POST":
-                if self.oauth:
-                    response = requests.post(url, headers=self.headers, json=data, auth=self.oauth)
-                else:
-                    response = requests.post(url, headers=self.headers, json=data)
-            else:
-                raise ValueError(f"Unsupported HTTP method: {method}")
+                    raise ValueError(f"Unsupported HTTP method: {method}")
+                    
+                response.raise_for_status()
+                return response.json()
                 
-            response.raise_for_status()
-            return response.json()
-        except requests.exceptions.HTTPError as e:
-            if response.status_code == 401:
-                logger.error(f"X API authentication failed with {self.auth_method} - check your credentials")
-                logger.error(f"Response: {response.text}")
-            elif response.status_code == 403:
-                logger.error(f"X API forbidden with {self.auth_method} - check app permissions")
-                logger.error(f"Response: {response.text}")
-            elif response.status_code == 429:
-                logger.error("X API rate limit exceeded - waiting 60 seconds before retry")
-                logger.error(f"Response: {response.text}")
-                time.sleep(60)
-                raise XRateLimitError("X API rate limit exceeded")
-            else:
-                logger.error(f"X API request failed: {e}")
-                logger.error(f"Response: {response.text}")
-            return None
-        except Exception as e:
-            logger.error(f"Unexpected error making X API request: {e}")
-            return None
+            except requests.exceptions.HTTPError as e:
+                if response.status_code == 401:
+                    logger.error(f"X API authentication failed with {self.auth_method} - check your credentials")
+                    logger.error(f"Response: {response.text}")
+                    return None  # Don't retry auth failures
+                elif response.status_code == 403:
+                    logger.error(f"X API forbidden with {self.auth_method} - check app permissions")
+                    logger.error(f"Response: {response.text}")
+                    return None  # Don't retry permission failures
+                elif response.status_code == 429:
+                    if attempt < max_retries - 1:
+                        # Exponential backoff: 60s, 120s, 240s
+                        backoff_time = 60 * (2 ** attempt)
+                        logger.warning(f"X API rate limit exceeded (attempt {attempt + 1}/{max_retries}) - waiting {backoff_time}s before retry")
+                        logger.error(f"Response: {response.text}")
+                        time.sleep(backoff_time)
+                        continue
+                    else:
+                        logger.error("X API rate limit exceeded - max retries reached")
+                        logger.error(f"Response: {response.text}")
+                        raise XRateLimitError("X API rate limit exceeded")
+                else:
+                    if attempt < max_retries - 1:
+                        # Exponential backoff for other HTTP errors too
+                        backoff_time = 30 * (2 ** attempt)
+                        logger.warning(f"X API request failed (attempt {attempt + 1}/{max_retries}): {e} - retrying in {backoff_time}s")
+                        logger.error(f"Response: {response.text}")
+                        time.sleep(backoff_time)
+                        continue
+                    else:
+                        logger.error(f"X API request failed after {max_retries} attempts: {e}")
+                        logger.error(f"Response: {response.text}")
+                        return None
+                        
+            except Exception as e:
+                if attempt < max_retries - 1:
+                    backoff_time = 15 * (2 ** attempt)
+                    logger.warning(f"Unexpected error making X API request (attempt {attempt + 1}/{max_retries}): {e} - retrying in {backoff_time}s")
+                    time.sleep(backoff_time)
+                    continue
+                else:
+                    logger.error(f"Unexpected error making X API request after {max_retries} attempts: {e}")
+                    return None
+        
+        return None
     
     def get_mentions(self, since_id: Optional[str] = None, max_results: int = 10) -> Optional[List[Dict]]:
         """
···
         # This helps with X API's incomplete conversation search results
         tweet_ids = set(t.get('id') for t in tweets)
         missing_tweet_ids = set()
+        critical_missing_ids = set()
         
-        # Collect all referenced tweet IDs that aren't in our current set
+        # Collect referenced tweet IDs, prioritizing critical ones
         for tweet in tweets:
             referenced_tweets = tweet.get('referenced_tweets', [])
             for ref in referenced_tweets:
                 ref_id = ref.get('id')
+                ref_type = ref.get('type')
                 if ref_id and ref_id not in tweet_ids:
                     missing_tweet_ids.add(ref_id)
+                    # Prioritize direct replies and quoted tweets over retweets
+                    if ref_type in ['replied_to', 'quoted']:
+                        critical_missing_ids.add(ref_id)
         
-        # Fetch missing referenced tweets individually
-        for missing_id in missing_tweet_ids:
-            try:
-                endpoint = f"/tweets/{missing_id}"
-                params = {
-                    "tweet.fields": "id,text,author_id,created_at,in_reply_to_user_id,referenced_tweets,conversation_id",
-                    "user.fields": "id,name,username",
-                    "expansions": "author_id"
-                }
-                response = self._make_request(endpoint, params)
-                if response and "data" in response:
-                    missing_tweet = response["data"]
-                    # Only add if it's actually part of this conversation
-                    if missing_tweet.get('conversation_id') == conversation_id:
-                        tweets.append(missing_tweet)
-                        tweet_ids.add(missing_id)
-                        logger.info(f"Retrieved missing referenced tweet: {missing_id}")
+        # For rate limit efficiency, only fetch critical missing tweets if we have many
+        if len(missing_tweet_ids) > 10:
+            logger.info(f"Many missing tweets ({len(missing_tweet_ids)}), prioritizing {len(critical_missing_ids)} critical ones")
+            missing_tweet_ids = critical_missing_ids
+        
+        # Context sufficiency check - skip backfill if we already have enough context
+        if has_sufficient_context(tweets, missing_tweet_ids):
+            logger.info("Thread has sufficient context, skipping missing tweet backfill")
+            missing_tweet_ids = set()
+        
+        # Fetch missing referenced tweets in batches (more rate-limit friendly)
+        if missing_tweet_ids:
+            missing_list = list(missing_tweet_ids)
+            
+            # First, check cache for missing tweets
+            cached_tweets = get_cached_tweets(missing_list)
+            for tweet_id, cached_tweet in cached_tweets.items():
+                if cached_tweet.get('conversation_id') == conversation_id:
+                    tweets.append(cached_tweet)
+                    tweet_ids.add(tweet_id)
+                    logger.info(f"Retrieved missing tweet from cache: {tweet_id}")
+                    
+                    # Add user data if available in cache
+                    if cached_tweet.get('author_info'):
+                        author_id = cached_tweet.get('author_id')
+                        if author_id:
+                            users_data[author_id] = cached_tweet['author_info']
+            
+            # Only fetch tweets that weren't found in cache
+            uncached_ids = [tid for tid in missing_list if tid not in cached_tweets]
+            
+            if uncached_ids:
+                batch_size = 100  # X API limit for bulk tweet lookup
+                
+                for i in range(0, len(uncached_ids), batch_size):
+                    batch_ids = uncached_ids[i:i + batch_size]
+                    try:
+                        endpoint = "/tweets"
+                        params = {
+                            "ids": ",".join(batch_ids),
+                            "tweet.fields": "id,text,author_id,created_at,in_reply_to_user_id,referenced_tweets,conversation_id",
+                            "user.fields": "id,name,username",
+                            "expansions": "author_id"
+                        }
+                        response = self._make_request(endpoint, params)
+                        
+                        if response and "data" in response:
+                            fetched_tweets = []
+                            batch_users_data = {}
+                            
+                            for missing_tweet in response["data"]:
+                                # Only add if it's actually part of this conversation
+                                if missing_tweet.get('conversation_id') == conversation_id:
+                                    tweets.append(missing_tweet)
+                                    tweet_ids.add(missing_tweet.get('id'))
+                                    fetched_tweets.append(missing_tweet)
+                                    logger.info(f"Retrieved missing referenced tweet: {missing_tweet.get('id')}")
+                            
+                            # Add user data if available
+                            if "includes" in response and "users" in response["includes"]:
+                                for user in response["includes"]["users"]:
+                                    users_data[user["id"]] = user
+                                    batch_users_data[user["id"]] = user
+                            
+                            # Cache the newly fetched tweets
+                            if fetched_tweets:
+                                save_cached_tweets(fetched_tweets, batch_users_data)
+                            
+                            logger.info(f"Batch fetched {len(response['data'])} missing tweets from {len(batch_ids)} requested")
                         
-                        # Also add user data if available
-                        if "includes" in response and "users" in response["includes"]:
-                            for user in response["includes"]["users"]:
-                                users_data[user["id"]] = user
-            except Exception as e:
-                logger.warning(f"Could not fetch missing tweet {missing_id}: {e}")
+                        # Handle partial success - log any missing tweets that weren't found
+                        if response and "errors" in response:
+                            for error in response["errors"]:
+                                logger.warning(f"Could not fetch tweet {error.get('resource_id')}: {error.get('title')}")
+                                
+                    except Exception as e:
+                        logger.warning(f"Could not fetch batch of missing tweets {batch_ids[:3]}...: {e}")
+            else:
+                logger.info(f"All {len(missing_list)} missing tweets found in cache")
         
         if tweets:
             # Filter out tweets that occur after until_id (if specified)
···
             logger.info(f"Retrieved {len(tweets)} tweets in thread")
             
             thread_data = {"tweets": tweets, "users": users_data}
+            
+            # Cache individual tweets from the thread for future backfill
+            save_cached_tweets(tweets, users_data)
             
             # Cache the result
             if use_cache:
···
         logger.debug(f"Cached thread context for {conversation_id}")
     except Exception as e:
         logger.error(f"Error caching thread context: {e}")
+
+def get_cached_tweets(tweet_ids: List[str]) -> Dict[str, Dict]:
+    """
+    Load cached individual tweets if available.
+    Returns dict mapping tweet_id -> tweet_data for found tweets.
+    """
+    cached_tweets = {}
+    
+    for tweet_id in tweet_ids:
+        cache_file = X_CACHE_DIR / f"tweet_{tweet_id}.json"
+        if cache_file.exists():
+            try:
+                with open(cache_file, 'r') as f:
+                    cached_data = json.load(f)
+                    
+                # Use longer cache times for older tweets (24 hours vs 1 hour)
+                from datetime import datetime, timedelta
+                cached_time = datetime.fromisoformat(cached_data.get('cached_at', ''))
+                tweet_created = cached_data.get('tweet_data', {}).get('created_at', '')
+                
+                # Parse tweet creation time to determine age
+                try:
+                    from dateutil.parser import parse
+                    tweet_age = datetime.now() - parse(tweet_created)
+                    cache_duration = timedelta(hours=24) if tweet_age > timedelta(hours=24) else timedelta(hours=1)
+                except:
+                    cache_duration = timedelta(hours=1)  # Default to 1 hour if parsing fails
+                
+                if datetime.now() - cached_time < cache_duration:
+                    cached_tweets[tweet_id] = cached_data.get('tweet_data')
+                    logger.debug(f"Using cached tweet {tweet_id}")
+                    
+            except Exception as e:
+                logger.warning(f"Error loading cached tweet {tweet_id}: {e}")
+    
+    return cached_tweets
+
+def save_cached_tweets(tweets_data: List[Dict], users_data: Dict[str, Dict] = None):
+    """Save individual tweets to cache for future reuse."""
+    try:
+        X_CACHE_DIR.mkdir(exist_ok=True)
+        
+        for tweet in tweets_data:
+            tweet_id = tweet.get('id')
+            if not tweet_id:
+                continue
+                
+            cache_file = X_CACHE_DIR / f"tweet_{tweet_id}.json"
+            
+            # Include user data if available
+            tweet_with_user = tweet.copy()
+            if users_data and tweet.get('author_id') in users_data:
+                tweet_with_user['author_info'] = users_data[tweet.get('author_id')]
+            
+            cache_data = {
+                'tweet_id': tweet_id,
+                'tweet_data': tweet_with_user,
+                'cached_at': datetime.now().isoformat()
+            }
+            
+            with open(cache_file, 'w') as f:
+                json.dump(cache_data, f, indent=2)
+            
+            logger.debug(f"Cached individual tweet {tweet_id}")
+            
+    except Exception as e:
+        logger.error(f"Error caching individual tweets: {e}")
+
+def has_sufficient_context(tweets: List[Dict], missing_tweet_ids: Set[str]) -> bool:
+    """
+    Determine if we have sufficient context to skip backfilling missing tweets.
+    
+    Args:
+        tweets: List of tweets already in the thread
+        missing_tweet_ids: Set of missing tweet IDs we'd like to fetch
+    
+    Returns:
+        True if context is sufficient, False if backfill is needed
+    """
+    # If no missing tweets, context is sufficient
+    if not missing_tweet_ids:
+        return True
+    
+    # If we have a substantial conversation (5+ tweets), likely sufficient
+    if len(tweets) >= 5:
+        logger.debug(f"Thread has {len(tweets)} tweets, considering sufficient")
+        return True
+    
+    # If only a few missing tweets and we have some context, might be enough
+    if len(missing_tweet_ids) <= 2 and len(tweets) >= 3:
+        logger.debug(f"Only {len(missing_tweet_ids)} missing tweets with {len(tweets)} existing, considering sufficient")
+        return True
+    
+    # Check if we have conversational flow (mentions between users)
+    has_conversation_flow = False
+    for tweet in tweets:
+        text = tweet.get('text', '').lower()
+        # Look for mentions, replies, or conversational indicators
+        if '@' in text or 'reply' in text or len([t for t in tweets if t.get('author_id') != tweet.get('author_id')]) > 1:
+            has_conversation_flow = True
+            break
+    
+    # If we have clear conversational flow and reasonable length, sufficient
+    if has_conversation_flow and len(tweets) >= 2:
+        logger.debug("Thread has conversational flow, considering sufficient")
+        return True
+    
+    # Otherwise, we need to backfill
+    logger.debug(f"Context insufficient: {len(tweets)} tweets, {len(missing_tweet_ids)} missing, no clear flow")
+    return False
 
 def fetch_and_queue_mentions(username: str) -> int:
     """

x_queue/last_seen_id.json

···
-{"last_seen_id": "1951025002528072057", "updated_at": "2025-07-31T14:13:02.527156"}
+{"last_seen_id": "1951359188078305712", "updated_at": "2025-08-01T12:08:21.612806"}

x_queue/processed_mentions.json

···
-["1950774869081354654", "1950690566909710618", "1950742693988159754", "1950945823375901154", "1950808060882038991", "1950779122890031203", "1950890479383462306", "1950777589091688690", "1950754871021592693", "1950779868960186694", "1950947483787354596", "1950745029666017362", "1950746342672007544", "1950750119219105907", "1950750041418989607", "1950926224429347160", "1950789067697983839", "1950793128522469844", "1950754661222248941", "1950915735532060786", "1950774695558832499", "1950776620203339781", "1950778758614696173", "1950780116126318997", "1950795131579445316", "1950971932716966259", "1950748541707829622", "1950769312056447186", "1950792707695382889", "1950777288091439352", "1950755355698647515", "1950768760899739896", "1950783507560812625", "1950768798593904825", "1950986138568565053", "1950765586868326584", "1950776952513814997", "1950750459045798159", "1950927321134772310", "1950755118434984411", "1950741288724423041", "1950762713313079588", "1950794346716176506", "1950780762053304663", "1950754744550728122", "1950988834914566480", "1950782010668237005", "1950781276438577219", "1950983970759516426", "1950780986398216501", "1950763126796046406", "1950768950729678964", "1950775991808541048", "1950776906498109619", "1950764690168295530", "1950739368530120865", "1950777178188288213", "1950775129686090162", "1950758670171795911", "1950810588298530818", "1950766844111122851", "1950749284804223244", "1950793918666395746", "1950766224658534618", "1950799213153112379", "1950766756869632018", "1950766482675421599", "1950746269363871754", "1950819109299458395", "1950789328826925276", "1950753699502100821", "1950781657147162971", "1950781652210422198", "1950749014728577308", "1950759115438887277", "1950764784477249958", "1950781400317317299", "1950763200649318634", "1950776904006746230", "1950776464145801332", "1950748407372353687", "1950779106389614951", "1950714596828061885", "1950775893640802681", "1950991382866436512", "1950780971072270844", "1950766898423152648", "1950751482476724241", "1950782587716489427", "1950777458657218590", "1950766890613350863", "1950778983630704954", "1950779760881373591", "1950749194685407273", "1950775531315888177", "1950748959812813003", "1950792967331193208", "1950757694312427564", "1950769061849358827", "1950781053599383730", "1950769046783443440", "1950758096747610115", "1950756238528000184", "1950782155098902811", "1950781122625040430", "1950776236239958521", "1950764759437189405", "1950754203871416763", "1950750239994061165", "1950763150195986893", "1950931104778625152", "1950779585383313712", "1950752256774856770", "1951010617638146178", "1950791694955540787", "1950945577484583072", "1950789537237766434", "1950743359305478515"]
+["1950766898423152648", "1950776236239958521", "1950749284804223244", "1951180352480821383", "1951036541008248938", "1950749014728577308", "1950794346716176506", "1950793128522469844", "1951136817245462740", "1950792707695382889", "1950741288724423041", "1951063241288983033", "1951348705162043591", "1951114308836008146", "1950749194685407273", "1950775893640802681", "1950743359305478515", "1950759115438887277", "1950776904006746230", "1950927321134772310", "1950766482675421599", "1951339550804005231", "1950765586868326584", "1950768950729678964", "1950776952513814997", "1951165239761969378", "1950754661222248941", "1950915735532060786", "1950781652210422198", "1951175052474700212", "1950750459045798159", "1951348198192324760", "1950781053599383730", "1950799213153112379", "1951348258607153462", "1951010617638146178", "1951127532402847980", "1950986138568565053", "1950779760881373591", "1951163964299296845", "1951352527615828053", "1950791694955540787", "1951179072802828555", "1950768798593904825", "1950810588298530818", "1950782587716489427", "1950748959812813003", "1950945823375901154", "1950756238528000184", "1951163614750187700", "1950777458657218590", "1950763150195986893", "1950745029666017362", "1951347808499565026", "1951139510760124446", "1951347165068140904", "1950779868960186694", "1951182820363145238", "1950758670171795911", "1951147949456523656", "1951353640498897297", "1950754871021592693", "1950778758614696173", "1950775531315888177", "1951309293510373414", "1951129835729985602", "1950795131579445316", "1951349178141159849", "1950789537237766434", "1950781657147162971", "1951136786144698795", "1951141952105431381", "1950819109299458395", "1951353453546184900", "1951040769646796890", "1951346496840077702", "1950781400317317299", "1950755118434984411", "1950766890613350863", "1951121664126886391", "1950763126796046406", "1951172176729743451", "1951038794024509743", "1951166530890375615", "1950746269363871754", "1950764784477249958", "1950777288091439352", "1950971932716966259", "1950931104778625152", "1950780116126318997", "1951173346281849248", "1951118743515570593", "1951129383957127239", "1950769312056447186", "1950764690168295530", "1950774695558832499", "1951359188078305712", "1951170488681799793", "1951307523388035439", "1951315163388453150", "1950750119219105907", "1951119002073440288", "1950714596828061885", "1950792967331193208", "1950777589091688690", "1951172869922435497", "1950750239994061165", "1950779106389614951", "1950748407372353687", "1950755355698647515", "1950778983630704954", "1951119469805445309", "1950753699502100821", "1950769061849358827", "1950890479383462306", "1950775129686090162", "1951174527167480109", "1951347924862116206", "1950808060882038991", "1950757694312427564", "1951034947915108628", "1950758096747610115", "1951132696383766599", "1950988834914566480", "1950781122625040430", "1951117367595216986", "1950793918666395746", "1951183108155314686", "1950779585383313712", "1951174471093723386", "1950762713313079588", "1950764759437189405", "1950780986398216501", "1951168402086830260", "1951059082569285636", "1951172964080312368", "1950766756869632018", "1950926224429347160", "1950748541707829622", "1951165985530192029", "1950779122890031203", "1951164423932157970", "1950774869081354654", "1950789328826925276", "1950776620203339781", "1950783507560812625", "1951174849390588267", "1950742693988159754", "1951315292765954297", "1950777178188288213", "1950789067697983839", "1951120165439152509", "1950983970759516426", "1951316609781407888", "1950780762053304663", "1951354423533511069", "1950739368530120865", "1950782010668237005", "1950754203871416763", "1950690566909710618", "1951315365860090218", "1950947483787354596", "1950781276438577219", "1950776464145801332", "1951308927829963195", "1950766224658534618", "1950763200649318634", "1950766844111122851", "1951142705582473361", "1950746342672007544", "1951173108204970474", "1950782155098902811", "1950775991808541048", "1950768760899739896", "1951134620638183644", "1951308577953501232", "1950991382866436512", "1950769046783443440", "1951203664288215278", "1950750041418989607", "1950752256774856770", "1950776906498109619", "1950751482476724241", "1950754744550728122", "1951168832099459262", "1950780971072270844", "1951118786918228119", "1951160693677494624", "1950945577484583072", "1951040893248508395", "1951174355649700256", "1951127859290083736", "1951166765188387073"]