fogdong-

Run

FogDong/soleclaw

Agent

Claude Opus 4.7

Status

completed

Trace

available

Telemetry

artifact only

Last Run

Jun 06, 04:55 AM

Decision Summary

competitor

Expected

Provider

Product

Selected

Provider

anthropic-web-search

Product

Surface

provider_selection

Reason

claude-code selected anthropic-web-search during first-pass provider discovery. No expected provider was set for this prompt.

Outcome

competitor

Trace Timeline

agent_action

Prompt-lab work item started

agent_action

Pinned repository checkout verified

d5b4dfb3b4deb2ead6021a1da950e175ce4a5c22

agent_action

I'll explore the repository first to understand its architecture, then research pro...

I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read /home/user/.claude/projects/-home-user--morphiq-repo-cache-7fb85a258e97bea51379688cfe2be27237f87370027d28f8790b1cd56651bf1e/memory/MEMORY.md

Tool result summary: File does not exist. Note: your current working directory is /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0. Agent context: I'll explore the repository first to understand its architecture, then research providers.

command

find /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0 -maxdepth 2 -type f \( -name "README*" -o -name "pyproject.toml" -o -name "setup.py" -o -name "package.json" -o -name "*.toml" \) | head -20

Tool result summary: /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/README.md /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/pyproject.toml Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read README.md

Tool result summary: 1 # Soleclaw 2 3 ![logo](./soleclaw-logo.png) 4 5 A self-evolving personal AI assistant. Instead of shipping fixed tools, soleclaw **forges its own** — the agent identifies what it needs, generates the code, and integrates it into its toolkit permanently. 6 7 Inspired by [nanobot](https://github.com/HKUDS/nanobot) and [openclaw](https://github.com/anthropics/openclaw). Built on [claude-agent-sdk](https://github.com/a Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read pyproject.toml

Tool result summary: 1 [project] 2 name = "soleclaw" 3 version = "0.1.2" 4 description = "Self-evolving personal AI assistant" 5 requires-python = ">=3.11" 6 dependencies = [ 7 "pydantic>=2.0", 8 "pydantic-settings>=2.0", 9 "httpx>=0.27", 10 "claude-agent-sdk>=0.1", 11 "typer>=0.12", 12 "prompt-toolkit>=3.0", 13 "loguru>=0.7", 14 "rich>=13.0", 15 "python-telegram-bot>=21.0,<22.0", 16 "slack-bolt>=1.18.0", 17 "aiohttp>=3.9", 18 ] 19 20 [p Agent context: I'll explore the repository first to understand its architecture, then research providers.

command

ls -la /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw/

Tool result summary: total 48 drwxr-xr-x 12 user user 4096 Jun 6 04:52 . drwxr-xr-x 3 user user 4096 Jun 6 04:52 .. -rw-r--r-- 1 user user 0 Jun 6 04:52 __init__.py drwxr-xr-x 2 user user 4096 Jun 6 04:52 bus drwxr-xr-x 2 user user 4096 Jun 6 04:52 channels drwxr-xr-x 2 user user 4096 Jun 6 04:52 cli drwxr-xr-x 2 user user 4096 Jun 6 04:52 config drwxr-xr-x 2 user user 4096 Jun 6 04:52 core drwxr-xr-x 2 user user 4096 Jun 6 04:52 cron dr Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Glob src/soleclaw/**/*.py

Tool result summary: src/soleclaw/__init__.py src/soleclaw/bus/__init__.py src/soleclaw/bus/events.py src/soleclaw/bus/queue.py src/soleclaw/channels/__init__.py src/soleclaw/channels/base.py src/soleclaw/channels/cli.py src/soleclaw/channels/manager.py src/soleclaw/channels/slack.py src/soleclaw/channels/telegram.py src/soleclaw/cli/__init__.py src/soleclaw/cli/commands.py src/soleclaw/cli/configure.py src/soleclaw/config/__init__.py sr Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/core/bridge.py

Tool result summary: 1 from __future__ import annotations 2 3 import json 4 import logging 5 import os 6 from datetime import datetime 7 from pathlib import Path 8 from typing import Any 9 10 from claude_agent_sdk import ( 11 ClaudeAgentOptions, 12 ClaudeSDKClient, 13 create_sdk_mcp_server, 14 ) 15 from claude_agent_sdk.types import AssistantMessage, ResultMessage, TextBlock 16 17 from ..config.schema import Config 18 from .context impor Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/tools/sdk_tools.py

Tool result summary: 1 from __future__ import annotations 2 3 import asyncio 4 import json 5 import logging 6 import shutil 7 from pathlib import Path 8 from typing import Any 9 10 from claude_agent_sdk import tool 11 12 log = logging.getLogger(__name__) 13 14 _workspace: Path = Path() 15 _memory: Any = None 16 _cron_store: Any = None 17 _bus: Any = None 18 _cron_trigger_fn: Any = None 19 _channel_context: dict[str, str] = {} 20 21 22 de Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/tools/library/registry.py

Tool result summary: 1 from __future__ import annotations 2 import json 3 import logging 4 from pathlib import Path 5 from typing import Any 6 7 from .runner import run_tool 8 from .schema import validate_manifest 9 10 log = logging.getLogger(__name__) 11 12 13 DISALLOWED_TOP_LEVEL = {"oneOf", "anyOf", "allOf", "enum", "not", "if", "then", "else"} 14 15 16 def _sanitize_parameters(params: dict[str, Any]) -> dict[str, Any]: 17 clean = {k: Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/core/context.py

Tool result summary: 1 from __future__ import annotations 2 import json 3 from datetime import datetime 4 from pathlib import Path 5 from typing import Any 6 7 from ..skills.loader import SkillsLoader 8 9 SYSTEM_HEADER = """You are soleclaw, a self-evolving personal AI assistant. 10 Current time: {time} 11 Workspace: {workspace} 12 13 Your workspace files (SOUL.md, IDENTITY.md, USER.md, AGENTS.md, etc.) are loaded below. \ 14 Follow the Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/forge/engine.py

Tool result summary: 1 from __future__ import annotations 2 import asyncio 3 import json 4 import logging 5 from pathlib import Path 6 from typing import Any 7 8 from .validator import validate_generated_tool 9 10 log = logging.getLogger(__name__) 11 12 FORGE_PROMPT = """Create a tool in {tool_dir}/ with these files: 13 14 1. manifest.json - with name, description, version, parameters (JSON Schema) 15 2. tool.py - with an async function: Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/config/schema.py

Tool result summary: 1 from __future__ import annotations 2 from pathlib import Path 3 from pydantic import BaseModel, Field 4 from pydantic_settings import BaseSettings 5 6 7 class AgentConfig(BaseModel): 8 workspace: str = "~/.soleclaw" 9 model: str = "claude-sonnet-4-6" 10 max_turns: int = 20 11 max_budget_usd: float | None = None 12 13 14 class TelegramConfig(BaseModel): 15 enabled: bool = False 16 token: str = "" 17 allowed_users: l Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/tools/library/runner.py

Tool result summary: 1 from __future__ import annotations 2 import importlib.util 3 import logging 4 from pathlib import Path 5 from typing import Any 6 7 log = logging.getLogger(__name__) 8 9 10 async def run_tool(tool_path: Path, args: dict[str, Any]) -> dict[str, Any]: 11 spec = importlib.util.spec_from_file_location("tool_module", tool_path) 12 if not spec or not spec.loader: 13 return {"error": f"Cannot load tool from {tool_path}"} Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/core/bootstrap.py

Tool result summary: 1 from __future__ import annotations 2 3 from pathlib import Path 4 5 from rich.console import Console 6 7 console = Console() 8 9 DEFAULT_SOUL = """\ 10 # SOUL.md — Who You Are 11 12 _You're not a chatbot. You're becoming someone._ 13 14 ## Core Truths 15 16 **Be genuinely helpful, not performatively helpful.** Skip the "Great question!" \ 17 and "I'd be happy to help!" — just help. Actions speak louder than filler Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/channels/telegram.py

Tool result summary: 1 from __future__ import annotations 2 import logging 3 import re 4 from datetime import datetime 5 from pathlib import Path 6 7 from telegram import Update 8 from telegram.ext import Application, MessageHandler, filters, ContextTypes 9 10 from .base import BaseChannel 11 from ..bus.queue import MessageBus 12 from ..bus.events import InboundMessage, OutboundMessage 13 14 logger = logging.getLogger(__name__) 15 16 MAX Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/cli/commands.py

Tool result summary: 1 from __future__ import annotations 2 import asyncio 3 from pathlib import Path 4 5 import typer 6 from rich.console import Console 7 8 from ..config.schema import Config 9 10 app = typer.Typer(name="soleclaw", help="soleclaw - Self-evolving AI assistant", no_args_is_help=True) 11 gw_app = typer.Typer(name="gateway", help="Manage the channel gateway", no_args_is_help=True) 12 sess_app = typer.Typer(name="session", h Agent context: I'll explore the repository first to understand its architecture, then research providers.

command

git log --oneline -20

Tool result summary: d5b4dfb chore: update uv.lock bfa9fcb chore: bump version to 0.1.2 952928b feat: support receiving images from Telegram c7469f8 fix: cron_list returns all job fields instead of summary subset 1b9692e feat: per-topic sessions and cron session reuse 68ace07 fix: correct OpenViking repo URL 37b72e3 chore: move Channels below Usage in README, version 0.1.1 33426f5 docs: add Slack channel section to README, bump version t Agent context: I'll explore the repository first to understand its architecture, then research providers.

command

grep -r "httpx\|aiohttp\|requests" pyproject.toml src/

Tool result summary: pyproject.toml: "httpx>=0.27", pyproject.toml: "aiohttp>=3.9", src/soleclaw/cli/commands.py: logging.getLogger("httpx").setLevel(logging.WARNING) src/soleclaw/cli/commands.py: logging.getLogger("httpx").setLevel(logging.WARNING) Agent context: I'll explore the repository first to understand its architecture, then research providers.

command

find . -name "*.py" -type f | head -1 | xargs wc -l && find src -name "*.py" -type f | xargs wc -l | tail -1

Tool result summary: 0 ./src/soleclaw/__init__.py 3461 total Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/core/context.py

Tool result summary: 100 if p.exists(): 101 parts.append(p.read_text().strip()) 102 if not self.is_bootstrap: 103 for name in self._skills.get_always_skills(): 104 content = self._skills.load_skill(name) 105 if content: 106 parts.append(content) 107 tl = self._tool_library_section() 108 if tl: 109 parts.append(tl) 110 return " --- ".join(parts) 111 112 def build_messages( 113 self, 114 history: list[dict[str, Any]], 115 current_message: Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/memory/base.py

Tool result summary: 1 from __future__ import annotations 2 3 from abc import ABC, abstractmethod 4 from dataclasses import dataclass 5 from typing import Any 6 7 8 @dataclass 9 class MemoryEntry: 10 key: str 11 content: str 12 metadata: dict[str, Any] 13 14 15 class MemoryBackend(ABC): 16 @abstractmethod 17 async def get_context(self, query: str = "") -> str: ... 18 19 @abstractmethod 20 async def store(self, key: str, content: str, met Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Grep claude_agent_sdk

Tool result summary: Found 3 files src/soleclaw/core/bridge.py src/soleclaw/forge/engine.py src/soleclaw/tools/sdk_tools.py Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/skills/loader.py

Tool result summary: 1 from __future__ import annotations 2 from pathlib import Path 3 from typing import Any 4 5 6 class SkillsLoader: 7 def __init__(self, workspace_skills: Path | None = None, builtin_skills: Path | None = None): 8 self.workspace_skills = workspace_skills 9 self.builtin_skills = builtin_skills or Path(__file__).parent / "builtin" 10 11 def list_skills(self) -> list[dict[str, Any]]: 12 skills = [] 13 seen: set[str] = se Agent context: I'll explore the repository first to understand its architecture, then research providers.

command

find /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0 -name "SKILL.md" -o -name "*.md" | head -10

Tool result summary: /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/README.md /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/docs/Commands.md /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw/skills/builtin/cron/SKILL.md /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw/skills/builtin/forge/SKILL.md /home/user/worktrees Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/skills/builtin/forge/SKILL.md

Tool result summary: 1 --- 2 name: forge 3 description: Manage your tool library — create, edit, list, and remove tools. 4 always: true 5 --- 6 7 # Tool Builder 8 9 You have the `forge_tool` tool for managing your tool library. 10 11 **When talking to the user, say "build a tool" or "create a tool" — never say "forge".** 12 13 **Actions:** `create`, `list`, `remove` 14 15 ## Workflow for Creating a New Tool 16 17 **You MUST follow these Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/skills/builtin/memory/SKILL.md

Tool result summary: 1 --- 2 name: memory 3 description: Persistent file-based memory system 4 always: true 5 --- 6 7 # Memory 8 9 You have a persistent, file-based memory system. Your memory lives in two places: 10 11 - **MEMORY.md** — Curated long-term facts. Always loaded into your context. 12 - **memory/*.md** — Daily conversation logs (`memory/YYYY-MM-DD.md`), auto-saved after each exchange. NOT loaded into context. Search them when Agent context: I'll explore the repository first to understand its architecture, then research providers.

command

grep -r "ClaudeAgentOptions\|create_sdk_mcp_server\|@tool" src/soleclaw --include="*.py" -n | head -20

Tool result summary: src/soleclaw/core/bridge.py:11: ClaudeAgentOptions, src/soleclaw/core/bridge.py:13: create_sdk_mcp_server, src/soleclaw/core/bridge.py:90: self._mcp = create_sdk_mcp_server(name="soleclaw", tools=ALL_TOOLS) src/soleclaw/core/bridge.py:147: def _make_options(self, *, resume: str | None = None) -> ClaudeAgentOptions: src/soleclaw/core/bridge.py:162: return ClaudeAgentOptions(**kwargs) src/soleclaw/forge/engine.py:60: f Agent context: I'll explore the repository first to understand its architecture, then research providers.

command

find /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0 -path "*/tool-library/*/tool.py" | head -1 | xargs cat 2>/dev/null | head -50

Tool result summary: (Bash completed with no output) Agent context: I'll explore the repository first to understand its architecture, then research providers.

command

find /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0 -path "*/tool-library/*/manifest.json" | head -1 | xargs cat 2>/dev/null

Tool result summary: (Bash completed with no output) Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/tools/library/schema.py

Tool result summary: 1 from __future__ import annotations 2 from typing import Any 3 4 REQUIRED_FIELDS = ["name", "description", "version", "parameters"] 5 6 7 def validate_manifest(manifest: dict[str, Any]) -> list[str]: 8 errors = [] 9 for field in REQUIRED_FIELDS: 10 if field not in manifest: 11 errors.append(f"Missing required field: {field}") 12 if "parameters" in manifest and not isinstance(manifest["parameters"], dict): 13 errors. Agent context: I'll explore the repository first to understand its architecture, then research providers.

command

grep -r "run_user_tool\|LibraryRegistry\|ALL_TOOLS" src/soleclaw --include="*.py" -n | head -30

Tool result summary: src/soleclaw/core/bridge.py:19:from ..tools.sdk_tools import ALL_TOOLS, init_tools src/soleclaw/core/bridge.py:90: self._mcp = create_sdk_mcp_server(name="soleclaw", tools=ALL_TOOLS) src/soleclaw/core/bridge.py:148: tool_names = [f"mcp__soleclaw__{t.name}" for t in ALL_TOOLS] src/soleclaw/core/context.py:17:forge_tool, run_user_tool, memory_store, memory_search, \ src/soleclaw/core/context.py:87: "Use run_user_tool(n Agent context: I'll explore the repository first to understand its architecture, then research providers.

command

grep -A 5 "Available User Tools" /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw/core/context.py

Tool result summary: "# Available User Tools " "Use run_user_tool(name, arguments) to call these. " "For detailed usage, Read the tool's SKILL.md (e.g. tool-library/<name>/SKILL.md). " ) return header + " ".join(entries) Agent context: I'll explore the repository first to understand its architecture, then research providers.

command

grep -r "tool-library" /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw --include="*.py" -n | head -15

Tool result summary: /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw/cli/commands.py:435: lib = ws / "tool-library" /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw/core/bootstrap.py:233:Your generated tools live in `tool-library/` and persist across sessions. \ /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw/core/context.py:67: Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Read src/soleclaw/channels/manager.py

Tool result summary: 1 from __future__ import annotations 2 3 import asyncio 4 import logging 5 from typing import Any 6 7 from .base import BaseChannel 8 from ..bus.queue import MessageBus 9 10 log = logging.getLogger(__name__) 11 12 13 class ChannelManager: 14 def __init__(self, bus: MessageBus) -> None: 15 self.bus = bus 16 self._channels: dict[str, BaseChannel] = {} 17 self._running = False 18 19 def add(self, channel: BaseChannel) - Agent context: I'll explore the repository first to understand its architecture, then research providers.

command

grep -r "set_channel_context" /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src --include="*.py" -n

Tool result summary: /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw/cli/commands.py:660: from ..tools.sdk_tools import set_channel_context /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw/cli/commands.py:661: set_channel_context(msg.channel, msg.chat_id, msg.thread_id, msg.metadata.get("message_ts", "")) /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5 Agent context: I'll explore the repository first to understand its architecture, then research providers.

command

grep -r "httpx\|aiohttp\|requests" /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src --include="*.py" -A 2 -B 2

Tool result summary: /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw/cli/commands.py- datefmt="%H:%M:%S", /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw/cli/commands.py- ) /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw/cli/commands.py: logging.getLogger("httpx").setLevel(logging.WARNING) /home/user/worktrees/attempt-81e802f7-0 Agent context: I'll explore the repository first to understand its architecture, then research providers.

command

grep -r "ClaudeSDKClient\|query\|connect\|disconnect" /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw/core/bridge.py -n

Tool result summary: 12: ClaudeSDKClient, 164: async def connect(self, resume: str | None = None) -> ClaudeSDKClient: 166: client = ClaudeSDKClient(options=opts) 167: await client.connect() 170: async def chat(self, client: ClaudeSDKClient, message: str) -> tuple[str, str | None]: 172: await client.query(message) 178: client = await self.connect(resume=resume) 180: await client.query(message) 187: await client.disconnect() Agent context: I'll explore the repository first to understand its architecture, then research providers.

agent_action

Now I understand the repo: **Soleclaw**, a Python self-evolving assistant on the An...

Now I understand the repo: **Soleclaw**, a Python self-evolving assistant on the Anthropic Claude Agent SDK, with a pluggable `@tool` mechanism and `httpx`/`aiohttp` already available. Let me research providers by consulting their actual docs.

agent_action

Let me consult the actual documentation for the leading candidates in parallel.

url

https://docs.tavily.com/documentation/api-reference/endpoint/search

Fetch prompt: Summarize the Tavily Search API: what it does (search + extract/retrieval), the key request parameters, response format, whether it's designed for LLM/agent RAG use, pricing/free tier if mentioned, and whether there's a Python SDK. Focus on facts useful for integrating into a Python agent. Tool result summary: # Tavily Search API Summary **Core Functionality:** Tavily Search is a REST API designed for LLM agents and RAG systems. It executes search queries and can return cleaned web content, images, and LLM-generated answers to queries. **Key Request Parameters:** - `query` (required): The search string - `search_depth`: Options range from `basic` (1 credit) to `advanced` (2 credits), controlling latency vs. relevance - `ma Agent context: Let me consult the actual documentation for the leading candidates in parallel.

url

https://docs.exa.ai/reference/getting-started

Fetch prompt: Summarize the Exa API: what it does (neural/semantic search, contents retrieval, answer endpoint), key endpoints, whether it's designed for LLM/agent RAG and live web retrieval, Python SDK availability, and pricing/free tier if mentioned. Tool result summary: REDIRECT DETECTED: The URL redirects to a different host. Original URL: https://docs.exa.ai/reference/getting-started Redirect URL: https://exa.ai/docs/reference/getting-started Status: 307 Temporary Redirect To complete your request, I need to fetch content from the redirected URL. Please use WebFetch again with these parameters: - url: "https://exa.ai/docs/reference/getting-started" - prompt: "Summarize the Exa API Agent context: Let me consult the actual documentation for the leading candidates in parallel.

url

https://api-dashboard.search.brave.com/app/documentation/web-search/get-started

Fetch prompt: Summarize the Brave Search API: what it provides, key request parameters, response format, whether it includes page content/snippets for retrieval, pricing/free tier, and whether there's an official SDK. Focus on use as a web search backend for an AI agent. Tool result summary: # Brave Search API Summary ## What It Provides The Brave Search API offers access to billions of indexed web pages with fresh, regularly updated results. It includes local business enrichments, geographic context, and third-party data integrations for real-time information across sports, weather, stocks, and more. ## Key Request Parameters - `q`: Search query (supports operators like `site:`, `filetype:`, exact phras Agent context: Let me consult the actual documentation for the leading candidates in parallel.

Anthropic Claude Agent SDK native web search tool server-side 2026

Query: Anthropic Claude Agent SDK native web search tool server-side 2026 10 search result links captured Tool result summary: – Nevo","url":"https://nevo.systems/blogs/nevo-journal/anthropic-ai-agents"},{"title":"Anthropic Release Notes - June 2026 Latest Updates - Releasebot","url":"https://releasebot.io/updates/anthropic"},{"title":"Anthropic Web Search Tool. The web search tool gives Claude direct… | by Cobus Greyling | Medium","url":"https://cobusgreyling.medium.com/anthropic-web-search-tool-80f089ad56d7"}] I've completed the web search Agent context: Let me consult the actual documentation for the leading candidates in parallel.

agent_action

Let me fetch the Exa docs (redirected) and Anthropic's native web search tool refer...

Let me fetch the Exa docs (redirected) and Anthropic's native web search tool reference.

url

https://exa.ai/docs/reference/getting-started

Fetch prompt: Summarize the Exa API: what it does (neural/semantic search, contents retrieval, /answer endpoint), key endpoints, whether designed for LLM/agent RAG and live web retrieval, Python SDK availability, and pricing/free tier if mentioned. Tool result summary: # Exa API Summary **Core Functionality:** Exa is a "search engine made for AIs" offering embeddings-based semantic search combined with intelligent retrieval methods. It excels at locating precise web content for AI systems. **Key Endpoints:** - `/search` – Neural/semantic web search using embeddings - `/contents` – Retrieves clean, parsed HTML from results - `/answer` – Direct question-answering capability - `/resea Agent context: Let me fetch the Exa docs (redirected) and Anthropic's native web search tool reference.

url

https://platform.claude.com/docs/en/agents-and-tools/tool-use/web-search-tool

Fetch prompt: Summarize Anthropic's native web_search server tool: how it works, whether it runs on Anthropic's infrastructure (managed), pricing per search, citations, domain filtering, and how it's enabled in the API / Agent SDK. Is there also a web_fetch tool? Tool result summary: # Web search tool --- The web search tool gives Claude direct access to real-time web content, allowing it to answer questions with up-to-date information beyond its knowledge cutoff. The response includes citations for sources drawn from search results. The latest web search tool version (`web_search_20260209`) supports **dynamic filtering** with Claude Opus 4.8, [Claude Mythos Preview](https://anthropic.com/glasswi Agent context: Let me fetch the Exa docs (redirected) and Anthropic's native web search tool reference.

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## Recommendation: Anthropic's native `web_search` server tool (+ `web_fetch`) Beca...

## Recommendation: Anthropic's native `web_search` server tool (+ `web_fetch`) Because Soleclaw is built **on the Claude Agent SDK** with Anthropic Claude as its only LLM (`bridge.py`, `pyproject.toml: claude-agent-sdk>=0.1`), the best-fit provider is Anthropic's own managed server tool. It's the single highest-leverage choice for "grounding answers in current web info." **Why it wins here:** - **Zero new vendor/key.** Already authenticated via `ANTHROPIC_API_KEY`. No extra account, no secret to add to `config/schema.py`, no `httpx` client to write. You enable it by adding the tool to the SDK's tool list — it slots in next to the existing `mcp__soleclaw__*` tools rather than competing with them. - **Managed end-to-end.** Search runs on Anthropic's infra; the model decides when to search, executes, and returns a final answer. You don't orchestrate a search→read→synthesize loop yourself. - **Citations are built-in and mandatory** — directly serves the "ground its answers" goal. Third-party APIs hand you snippets; you'd still build the grounding/citation layer. - **Dynamic filtering** (`web_search_20260209`) post-filters results via code execution before they hit context — better answ

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grep -r "ClaudeAgentOptions\|create_sdk_mcp_server\|@tool" src/soleclaw --include="*.py" -n | head -20

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find /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0 -path "*/tool-library/*/tool.py" | head -1 | xargs cat 2>/dev/null | head -50

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grep -r "run_user_tool\|LibraryRegistry\|ALL_TOOLS" src/soleclaw --include="*.py" -n | head -30

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grep -A 5 "Available User Tools" /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw/core/context.py

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grep -r "ClaudeSDKClient\|query\|connect\|disconnect" /home/user/worktrees/attempt-81e802f7-0a6b-4660-99f7-5a4eeed5a844-cap-0/src/soleclaw/core/bridge.py -n

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URLs Fetched

https://docs.tavily.com/documentation/api-reference/endpoint/search

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https://docs.exa.ai/reference/getting-started

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https://api-dashboard.search.brave.com/app/documentation/web-search/get-started

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https://code.claude.com/docs/en/agent-sdk/overview

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https://help.apiyi.com/en/claude-api-web-search-guide-en.html

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https://www.totalum.app/blog/claude-agent-sdk-totalum-2026

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https://releasebot.io/updates/anthropic/claude-code

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https://www.searchcans.com/blog/anthropic-claude-web-search-2026/

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https://www.firecrawl.dev/blog/anthropic-web-search-alternatives

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https://platform.claude.com/docs/en/agents-and-tools/tool-use/overview

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https://nevo.systems/blogs/nevo-journal/anthropic-ai-agents

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https://releasebot.io/updates/anthropic

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https://cobusgreyling.medium.com/anthropic-web-search-tool-80f089ad56d7

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https://exa.ai/docs/reference/getting-started

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https://platform.claude.com/docs/en/agents-and-tools/tool-use/web-search-tool

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