Files
AutoGPT/autogpt_platform/backend/backend/copilot/config.py
Zamil Majdy 5f82a71d5f feat(copilot): add Fast/Thinking mode toggle with full tool parity (#12623)
### Why / What / How

Users need a way to choose between fast, cheap responses (Sonnet) and
deep reasoning (Opus) in the copilot. Previously only the SDK/Opus path
existed, and the baseline path was a degraded fallback with no tool
calling, no file attachments, no E2B sandbox, and no permission
enforcement.

This PR adds a copilot mode toggle and brings the baseline (fast) path
to full feature parity with the SDK (extended thinking) path.

### Changes 🏗️

#### 1. Mode toggle (UI → full stack)
- Add Fast / Thinking mode toggle to ChatInput footer (Phosphor
`Brain`/`Zap` icons via lucide-react)
- Thread `mode: "fast" | "extended_thinking" | null` from
`StreamChatRequest` → RabbitMQ queue → executor → service selection
- Fast → baseline service (Sonnet 4 via OpenRouter), Thinking → SDK
service (Opus 4.6)
- Toggle gated behind `CHAT_MODE_OPTION` feature flag with server-side
enforcement
- Mode persists in localStorage with SSR-safe init

#### 2. Baseline service full tool parity
- **Tool call persistence**: Store structured `ChatMessage` entries
(assistant + tool results) instead of flat concatenated text — enables
frontend to render tool call details and maintain context across turns
- **E2B sandbox**: Wire up `get_or_create_sandbox()` so `bash_exec`
routes to E2B (image download, Python/PIL compression, filesystem
access)
- **File attachments**: Accept `file_ids`, download workspace files,
embed images as OpenAI vision blocks, save non-images to working dir
- **Permissions**: Filter tool list via `CopilotPermissions`
(whitelist/blacklist)
- **URL context**: Pass `context` dict to user message for URL-shared
content
- **Execution context**: Pass `sandbox`, `sdk_cwd`, `permissions` to
`set_execution_context()`
- **Model**: Changed `fast_model` from `google/gemini-2.5-flash` to
`anthropic/claude-sonnet-4` for reliable function calling
- **Temp dir cleanup**: Lazy `mkdtemp` (only when files attached) +
`shutil.rmtree` in finally

#### 3. Transcript support for Fast mode
- Baseline service now downloads / validates / loads / appends / uploads
transcripts (parity with SDK)
- Enables seamless mode switching mid-conversation via shared transcript
- Upload shielded from cancellation, bounded at 5s timeout

#### 4. Feature-flag infrastructure fixes
- `FORCE_FLAG_*` env-var overrides on both backend and frontend for
local dev / E2E
- LaunchDarkly context parity (frontend mirrors backend user context)
- `CHAT_MODE_OPTION` default flipped to `false` to match backend

#### 5. Other hardening
- Double-submit ref guard in `useChatInput` + reconnect dedup in
`useCopilotStream`
- `copilotModeRef` pattern to read latest mode without recreating
transport
- Shared `CopilotMode` type across frontend files
- File name collision handling with numeric suffix
- Path sanitization in file description hints (`os.path.basename`)

### Test plan
- [x] 30 new unit tests: `_env_flag_override` (12), `envFlagOverride`
(8), `_filter_tools_by_permissions` (4), `_prepare_baseline_attachments`
(6)
- [x] E2E tested on dev: fast mode creates E2B sandbox, calls 7-10
tools, generates and renders images
- [x] Mode switching mid-session works (shared transcript + session
messages)
- [x] Server-side flag gate enforced (crafted `mode=fast` stripped when
flag off)
- [x] All 37 CI checks green
- [x] Verified via agent-browser: workspace images render correctly in
all message positions

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

---------

Co-authored-by: Zamil Majdy <majdy.zamil@gmail.com>
2026-04-06 19:54:36 +07:00

284 lines
11 KiB
Python

"""Configuration management for chat system."""
import os
from typing import Literal
from pydantic import Field, field_validator
from pydantic_settings import BaseSettings
from backend.util.clients import OPENROUTER_BASE_URL
# Per-request routing mode for a single chat turn.
# - 'fast': route to the baseline OpenAI-compatible path with the cheaper model.
# - 'extended_thinking': route to the Claude Agent SDK path with the default
# (opus) model.
# ``None`` means "no override"; the server falls back to the Claude Code
# subscription flag → LaunchDarkly COPILOT_SDK → config.use_claude_agent_sdk.
CopilotMode = Literal["fast", "extended_thinking"]
class ChatConfig(BaseSettings):
"""Configuration for the chat system."""
# OpenAI API Configuration
model: str = Field(
default="anthropic/claude-opus-4.6",
description="Default model for extended thinking mode",
)
fast_model: str = Field(
default="anthropic/claude-sonnet-4",
description="Model for fast mode (baseline path). Should be faster/cheaper than the default model.",
)
title_model: str = Field(
default="openai/gpt-4o-mini",
description="Model to use for generating session titles (should be fast/cheap)",
)
simulation_model: str = Field(
default="google/gemini-2.5-flash",
description="Model for dry-run block simulation (should be fast/cheap with good JSON output)",
)
api_key: str | None = Field(default=None, description="OpenAI API key")
base_url: str | None = Field(
default=OPENROUTER_BASE_URL,
description="Base URL for API (e.g., for OpenRouter)",
)
# Session TTL Configuration - 12 hours
session_ttl: int = Field(default=43200, description="Session TTL in seconds")
max_agent_runs: int = Field(default=30, description="Maximum number of agent runs")
max_agent_schedules: int = Field(
default=30, description="Maximum number of agent schedules"
)
# Stream registry configuration for SSE reconnection
stream_ttl: int = Field(
default=3600,
description="TTL in seconds for stream data in Redis (1 hour)",
)
stream_lock_ttl: int = Field(
default=120,
description="TTL in seconds for stream lock (2 minutes). Short timeout allows "
"reconnection after refresh/crash without long waits.",
)
stream_max_length: int = Field(
default=10000,
description="Maximum number of messages to store per stream",
)
# Redis key prefixes for stream registry
session_meta_prefix: str = Field(
default="chat:task:meta:",
description="Prefix for session metadata hash keys",
)
turn_stream_prefix: str = Field(
default="chat:stream:",
description="Prefix for turn message stream keys",
)
# Langfuse Prompt Management Configuration
# Note: Langfuse credentials are in Settings().secrets (settings.py)
langfuse_prompt_name: str = Field(
default="CoPilot Prompt",
description="Name of the prompt in Langfuse to fetch",
)
langfuse_prompt_cache_ttl: int = Field(
default=300,
description="Cache TTL in seconds for Langfuse prompt (0 to disable caching)",
)
# Rate limiting — token-based limits per day and per week.
# Per-turn token cost varies with context size: ~10-15K for early turns,
# ~30-50K mid-session, up to ~100K pre-compaction. Average across a
# session with compaction cycles is ~25-35K tokens/turn, so 2.5M daily
# allows ~70-100 turns/day.
# Checked at the HTTP layer (routes.py) before each turn.
#
# These are base limits for the FREE tier. Higher tiers (PRO, BUSINESS,
# ENTERPRISE) multiply these by their tier multiplier (see
# rate_limit.TIER_MULTIPLIERS). User tier is stored in the
# User.subscriptionTier DB column and resolved inside
# get_global_rate_limits().
daily_token_limit: int = Field(
default=2_500_000,
description="Max tokens per day, resets at midnight UTC (0 = unlimited)",
)
weekly_token_limit: int = Field(
default=12_500_000,
description="Max tokens per week, resets Monday 00:00 UTC (0 = unlimited)",
)
# Cost (in credits / cents) to reset the daily rate limit using credits.
# When a user hits their daily limit, they can spend this amount to reset
# the daily counter and keep working. Set to 0 to disable the feature.
rate_limit_reset_cost: int = Field(
default=500,
ge=0,
description="Credit cost (in cents) for resetting the daily rate limit. 0 = disabled.",
)
max_daily_resets: int = Field(
default=5,
ge=0,
description="Maximum number of credit-based rate limit resets per user per day. 0 = unlimited.",
)
# Claude Agent SDK Configuration
use_claude_agent_sdk: bool = Field(
default=True,
description="Use Claude Agent SDK (True) or OpenAI-compatible LLM baseline (False)",
)
claude_agent_model: str | None = Field(
default=None,
description="Model for the Claude Agent SDK path. If None, derives from "
"the `model` field by stripping the OpenRouter provider prefix.",
)
claude_agent_max_buffer_size: int = Field(
default=10 * 1024 * 1024, # 10MB (default SDK is 1MB)
description="Max buffer size in bytes for Claude Agent SDK JSON message parsing. "
"Increase if tool outputs exceed the limit.",
)
claude_agent_max_subtasks: int = Field(
default=10,
description="Max number of concurrent sub-agent Tasks the SDK can run per session.",
)
claude_agent_use_resume: bool = Field(
default=True,
description="Use --resume for multi-turn conversations instead of "
"history compression. Falls back to compression when unavailable.",
)
use_openrouter: bool = Field(
default=True,
description="Enable routing API calls through the OpenRouter proxy. "
"The actual decision also requires ``api_key`` and ``base_url`` — "
"use the ``openrouter_active`` property for the final answer.",
)
use_claude_code_subscription: bool = Field(
default=False,
description="For personal/dev use: use Claude Code CLI subscription auth instead of API keys. Requires `claude login` on the host. Only works with SDK mode.",
)
test_mode: bool = Field(
default=False,
description="Use dummy service instead of real LLM calls. "
"Send __test_transient_error__, __test_fatal_error__, or "
"__test_slow_response__ to trigger specific scenarios.",
)
# E2B Sandbox Configuration
use_e2b_sandbox: bool = Field(
default=True,
description="Use E2B cloud sandboxes for persistent bash/python execution. "
"When enabled, bash_exec routes commands to E2B and SDK file tools "
"operate directly on the sandbox via E2B's filesystem API.",
)
e2b_api_key: str | None = Field(
default=None,
description="E2B API key. Falls back to E2B_API_KEY environment variable.",
)
e2b_sandbox_template: str = Field(
default="base",
description="E2B sandbox template to use for copilot sessions.",
)
e2b_sandbox_timeout: int = Field(
default=420, # 7 min safety net — allows headroom for compaction retries
description="E2B sandbox running-time timeout (seconds). "
"E2B timeout is wall-clock (not idle). Explicit per-turn pause is the primary "
"mechanism; this is the safety net.",
)
e2b_sandbox_on_timeout: Literal["kill", "pause"] = Field(
default="pause",
description="E2B lifecycle action on timeout: 'pause' (default, free) or 'kill'.",
)
@property
def openrouter_active(self) -> bool:
"""True when OpenRouter is enabled AND credentials are usable.
Single source of truth for "will the SDK route through OpenRouter?".
Checks the flag *and* that ``api_key`` + a valid ``base_url`` are
present — mirrors the fallback logic in ``build_sdk_env``.
"""
if not self.use_openrouter:
return False
base = (self.base_url or "").rstrip("/")
if base.endswith("/v1"):
base = base[:-3]
return bool(self.api_key and base and base.startswith("http"))
@property
def e2b_active(self) -> bool:
"""True when E2B is enabled and the API key is present.
Single source of truth for "should we use E2B right now?".
Prefer this over combining ``use_e2b_sandbox`` and ``e2b_api_key``
separately at call sites.
"""
return self.use_e2b_sandbox and bool(self.e2b_api_key)
@property
def active_e2b_api_key(self) -> str | None:
"""Return the E2B API key when E2B is enabled and configured, else None.
Combines the ``use_e2b_sandbox`` flag check and key presence into one.
Use in callers::
if api_key := config.active_e2b_api_key:
# E2B is active; api_key is narrowed to str
"""
return self.e2b_api_key if self.e2b_active else None
@field_validator("e2b_api_key", mode="before")
@classmethod
def get_e2b_api_key(cls, v):
"""Get E2B API key from environment if not provided."""
if not v:
v = os.getenv("CHAT_E2B_API_KEY") or os.getenv("E2B_API_KEY")
return v
@field_validator("api_key", mode="before")
@classmethod
def get_api_key(cls, v):
"""Get API key from environment if not provided."""
if not v:
# Try to get from environment variables
# First check for CHAT_API_KEY (Pydantic prefix)
v = os.getenv("CHAT_API_KEY")
if not v:
# Fall back to OPEN_ROUTER_API_KEY
v = os.getenv("OPEN_ROUTER_API_KEY")
if not v:
# Fall back to OPENAI_API_KEY
v = os.getenv("OPENAI_API_KEY")
# Note: ANTHROPIC_API_KEY is intentionally NOT included here.
# The SDK CLI picks it up from the env directly. Including it
# would pair it with the OpenRouter base_url, causing auth failures.
return v
@field_validator("base_url", mode="before")
@classmethod
def get_base_url(cls, v):
"""Get base URL from environment if not provided."""
if not v:
# Check for OpenRouter or custom base URL
v = os.getenv("CHAT_BASE_URL")
if not v:
v = os.getenv("OPENROUTER_BASE_URL")
if not v:
v = os.getenv("OPENAI_BASE_URL")
if not v:
v = OPENROUTER_BASE_URL
return v
# Prompt paths for different contexts
PROMPT_PATHS: dict[str, str] = {
"default": "prompts/chat_system.md",
"onboarding": "prompts/onboarding_system.md",
}
class Config:
"""Pydantic config."""
env_prefix = "CHAT_"
env_file = ".env"
env_file_encoding = "utf-8"
extra = "ignore" # Ignore extra environment variables