Merge from Master

.github/workflows/release.yml

@@ -75,3 +75,249 @@ jobs:
           files: |
             dist/*.tar.gz
             dist/*.whl
+  update-brew-formula:
+    runs-on: macos-latest
+    steps:
+      - name: Checkout this repository
+        uses: actions/checkout@v3
+
+      - name: Set up Python 3.12
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.12'
+
+      - name: Create virtual environment and install dependencies
+        run: |
+          python -m venv .venv
+          source .venv/bin/activate
+          pip install --upgrade pip
+          pip install homebrew-pypi-poet ra-aid==${{ env.version }} 
+
+      - name: Clone homebrew-ra-aid repository
+        run: |
+          # Using HTTPS with the provided GITHUB_TOKEN for authentication.
+          git clone https://github.com/ai-christianson/homebrew-ra-aid.git
+
+      - name: Generate Brew Formula with poet
+        run: |
+          source .venv/bin/activate
+          cd homebrew-ra-aid
+          poet -f ra-aid > Formula/ra-aid.rb
+
+      - name: Update Formula/ra-aid.rb
+        run: |
+          cd homebrew-ra-aid
+          # --- Class documentaion
+          sed -i '' '1s/^/# Homebrew formula for RA.Aid\n/' Formula/ra-aid.rb
+          # --- Update description and homepage ---
+          sed -i '' 's/desc "Shiny new formula"/desc "RA.Aid (pronounced \\\"raid\\\") helps you develop software autonomously"/' Formula/ra-aid.rb
+          sed -i '' 's/homepage "None"/homepage "https:\/\/github.com\/ai-christianson\/RA.Aid"\
+          version "${{ env.version }}"/' Formula/ra-aid.rb
+          
+          # Insert the license line after the homepage line using awk
+          awk '/homepage "https:\/\/github.com\/ai-christianson\/RA.Aid"/ {print; print "  license \"Apache-2.0\""; next} 1' Formula/ra-aid.rb > tmp && mv tmp Formula/ra-aid.rb
+
+      - name: Replace python dependency with build dependencies
+        run: |
+          cd homebrew-ra-aid
+          awk '/depends_on "python3"/ {
+            print "  depends_on \"cmake\" => :build";
+            print "  depends_on \"ninja\" => :build";
+            print "  depends_on \"rust\" => :build";
+            print "  depends_on \"certifi\"";
+            print "  depends_on \"cffi\"";
+            print "  depends_on \"libmagic\"";
+            print "  depends_on \"libyaml\"";
+            print "  depends_on \"numpy\"";
+            print "  depends_on \"pillow\"";
+            print "  depends_on \"python-setuptools\"";
+            print "  depends_on \"python@3.12\"";
+            print "  depends_on \"ripgrep\"";
+            print "  depends_on \"scipy\"";
+            next
+          }
+          { print }' Formula/ra-aid.rb > tmp && mv tmp Formula/ra-aid.rb
+          
+          # --- Update tree-sitter-languages resource block ---
+          perl -0777 -pi -e 's/resource "tree-sitter-languages" do.*?end/  # shoutout to aider for figuring this one out\n  # sdist issue report, https:\/\/github.com\/grantjenks\/py-tree-sitter-languages\/issues\/63\n  resource "tree-sitter-languages" do\n    url "https:\/\/github.com\/grantjenks\/py-tree-sitter-languages\/archive\/refs\/tags\/v1.10.2.tar.gz"\n    sha256 "cdd03196ebaf8f486db004acd07a5b39679562894b47af6b20d28e4aed1a6ab5"\n  end/s' Formula/ra-aid.rb
+
+      - name: Update install and test blocks with Python
+        run: |
+          cd homebrew-ra-aid
+          patch -F3 Formula/ra-aid.rb <<'EOF'
+          --- Formula/ra-aid.rb	2025-03-07 15:04:18
+          +++ ra-aid.fixed.rb	2025-03-07 15:38:33
+          @@ -717,8 +717,42 @@
+             end
+          
+             def install
+          -    virtualenv_create(libexec, "python3")
+          -    virtualenv_install_with_resources
+          +    # Shoutout to aider whom figured out dealing with the tree-sitter-languages issue
+          +    venv = virtualenv_install_with_resources without: ["tree-sitter-languages", "Levenshtein", "RapidFuzz"]
+          +
+          +    # Requires building languages outside `setup.py`: https://github.com/grantjenks/py-tree-sitter-languages/pull/65
+          +    resource("tree-sitter-languages").stage do
+          +      ENV.prepend_path "PYTHONPATH", Formula["cython"].opt_libexec/Language::Python.site_packages(python3)
+          +      system venv.root/"bin/python", "build.py"
+          +      venv.pip_install Pathname.pwd
+          +    end
+          +
+          +    resource("Levenshtein").stage do
+          +      # Now we're in the unpacked Levenshtein source directory
+          +      inreplace "pyproject.toml", /^Changelog\s*=.*$/, ""
+          +      inreplace "pyproject.toml", /^Documentation\s*=.*$/, ""
+          +      inreplace "pyproject.toml", /^Homepage\s*=.*$/, ""
+          +      inreplace "pyproject.toml", /^Issues\s*=.*$/, ""
+          +      inreplace "pyproject.toml", /^Repository\s*=.*$/, ""
+          +
+          +      # Then install just Levenshtein from this local directory
+          +      venv.pip_install Pathname.pwd
+          +    end
+          +
+          +    resource("RapidFuzz").stage do
+          +      # Now we're in the unpacked Levenshtein source directory
+          +      inreplace "pyproject.toml", /^Changelog\s*=.*$/, ""
+          +      inreplace "pyproject.toml", /^Documentation\s*=.*$/, ""
+          +      inreplace "pyproject.toml", /^Homepage\s*=.*$/, ""
+          +      inreplace "pyproject.toml", /^Issues\s*=.*$/, ""
+          +      inreplace "pyproject.toml", /^Repository\s*=.*$/, ""
+          +
+          +      # Then install just Levenshtein from this local directory
+          +      venv.pip_install Pathname.pwd
+          +    end
+          +
+          +    # Create symlinks for all executables in the virtualenv's bin
+          +    bin.install_symlink Dir["#{libexec}/bin/ra-aid"]
+             end
+          
+             test do
+          EOF
+          
+      - name: Insert cython resource block
+        run: |
+          cd homebrew-ra-aid
+          python <<'EOF'
+          import re
+          
+          # Read the current contents of the formula file.
+          with open("Formula/ra-aid.rb", "r") as f:
+              content = f.read()
+          
+          # The cython resource block to be inserted.
+          cython_resource = '''  resource "cython" do
+              url "https://files.pythonhosted.org/packages/84/4d/b720d6000f4ca77f030bd70f12550820f0766b568e43f11af7f7ad9061aa/cython-3.0.11.tar.gz"
+              sha256 "7146dd2af8682b4ca61331851e6aebce9fe5158e75300343f80c07ca80b1faff"
+            end
+          '''
+          
+          # Regex to find resource blocks. Group 2 captures the resource name.
+          resource_pattern = re.compile(r'(resource\s+"([^"]+)"\s+do.*?end)', re.DOTALL)
+          matches = list(resource_pattern.finditer(content))
+          
+          insertion_index = None
+          if matches:
+              # Loop over each resource block to determine where "cython" belongs.
+              for match in matches:
+                  res_name = match.group(2).lower()
+                  if res_name > "cython":
+                      insertion_index = match.start()
+                      break
+              if insertion_index is None:
+                  # "cython" is alphabetically after all existing resources.
+                  insertion_index = matches[-1].end()
+              # Insert with a preceding newline for readability.
+              new_content = content[:insertion_index] + "\n" + cython_resource + "\n" + content[insertion_index:]
+          else:
+              # Fallback: no resource blocks found, insert before the first method definition.
+              new_content = re.sub(r'(?=def )', cython_resource + "\n\n", content, count=1)
+          
+          with open("Formula/ra-aid.rb", "w") as f:
+              f.write(new_content)
+          EOF
+
+      - name: Remove resource blocks for libraries listed in depends_on
+        run: |
+          cd homebrew-ra-aid
+          python <<'EOF'
+          import re
+          
+          with open("Formula/ra-aid.rb", "r") as f:
+              content = f.read()
+          
+          # Extract all libraries mentioned in depends_on lines.
+          depends_libs = re.findall(r'depends_on\s+"([^"]+)"', content)
+          if depends_libs:
+              # Remove duplicates and sort for consistency.
+              libs_set = set(depends_libs)
+              # Escape library names for regex use.
+              escaped_libs = [re.escape(lib) for lib in libs_set]
+              libs_pattern = "|".join(escaped_libs)
+              # Pattern to match resource blocks for any of these libraries.
+              resource_pattern = re.compile(
+                  r'\n?\s*resource\s+"(' + libs_pattern + r')"\s+do.*?end\s*\n?',
+                  re.DOTALL
+              )
+              new_content, count = re.subn(resource_pattern, '\n\n', content)
+              print(f"Removed {count} resource block(s) for libraries from depends_on.")
+          else:
+              new_content = content
+              print("No depends_on libraries found.")
+          
+          with open("Formula/ra-aid.rb", "w") as f:
+              f.write(new_content)
+          EOF
+
+      - name: Fix Ruby Formating Issues
+        run: |
+          cd homebrew-ra-aid
+          brew style --fix Formula/ra-aid.rb
+
+      - name: Define python3 as 3.12
+        run: |
+          cd homebrew-ra-aid
+          patch -F3 Formula/ra-aid.rb <<'EOF'
+          --- Formula/ra-aid.rb	2025-03-07 15:51:32
+          +++ ra-aid.fixed.rb	2025-03-07 16:02:06
+          @@ -694,6 +694,10 @@
+             resource "zstandard" do
+               url "https://files.pythonhosted.org/packages/ed/f6/2ac0287b442160a89d726b17a9184a4c615bb5237db763791a7fd16d9df1/zstandard-0.23.0.tar.gz"
+               sha256 "b2d8c62d08e7255f68f7a740bae85b3c9b8e5466baa9cbf7f57f1cde0ac6bc09"
+          +  end
+          +
+          +  def python3
+          +    "python3.12"
+             end
+          
+             def install
+          EOF
+
+      - name: Update test block
+        run: |
+          cd homebrew-ra-aid
+          patch -F3 Formula/ra-aid.rb <<'EOF'
+          --- Formula/ra-aid.rb 2025-03-07 16:42:03
+          +++ ra-aid.fixed.rb 2025-03-07 16:53:04
+          @@ -746,6 +746,6 @@
+             end
+          
+             test do
+          -    false
+          +    assert_match version.to_s, shell_output("#{bin}/ra-aid --version")
+             end
+           end
+          EOF
+
+      - name: Show updated Formula
+        run: |
+          cd homebrew-ra-aid
+          cat Formula/ra-aid.rb
+
+#      - name: Commit and push changes
+#        run: |
+#          cd homebrew-ra-aid
+#          git config user.name "GitHub Actions"
+#          git config user.email "actions@github.com"
+#          git add Formula/ra-aid.rb
+#          git commit -m "Intelligent update message" || echo "No changes to commit"
+#          git push

.gitignore

@@ -14,8 +14,3 @@ __pycache__/
 .envrc
 appmap.log
 *.swp
-/vsc/node_modules
-/vsc/dist
-node_modules/
-/frontend/common/dist
-/frontend/web/dist/

CHANGELOG.md

@@ -5,14 +5,7 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## [0.17.1] 2025-03-13
-
-### Fixed
-- Fixed bug with `process_thinking_content` function by moving it from `agent_utils` to `ra_aid.text.processing` module
-- Fixed config parameter handling in research request functions
-- Updated development setup instructions in README to use `pip install -e ".[dev]"` instead of `pip install -r requirements-dev.txt`
-
-## [0.17.0] 2025-03-12
+## [Unreleased]
 
 ### Added
 - Added support for think tags in models with the new extract_think_tag function
@@ -20,28 +13,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Added model parameters for think tag support
 - Added comprehensive testing for think tag functionality
 - Added `--show-thoughts` flag to show thoughts of thinking models
-- Added `--show-cost` flag to display cost information during agent operations
-- Enhanced cost tracking with AnthropicCallbackHandler for monitoring token usage and costs
-- Added Session and Trajectory models to track application state and agent actions
-- Added comprehensive environment inventory system for collecting and providing system information to agents
-- Added repository implementations for Session and Trajectory models
-- Added support for reasoning assistance in research phase
-- Added new config parameters for managing cost display and reasoning assistance
 
 ### Changed
 - Updated langchain/langgraph deps
-- Improved trajectory tracking for better debugging and analysis
-- Enhanced prompts throughout the system for better performance
-- Improved token management with better handling of thinking tokens in Claude models
-- Updated project information inclusion in prompts
-- Reorganized agent code with better extraction of core functionality
-- Refactored anthropic token limiting for better control over token usage
-
-### Fixed
-- Fixed binary file detection
-- Fixed environment inventory sorting
-- Fixed token limiter functionality
-- Various test improvements and fixes
 
 ## [0.16.1] 2025-03-07
 

MANIFEST.in

@@ -1,4 +1,4 @@
 include LICENSE
 include README.md
 include CHANGELOG.md
-recursive-include ra_aid/server/static *
+recursive-include ra_aid/webui/static *

README.md

@@ -226,9 +226,9 @@ More information is available in our [Usage Examples](https://docs.ra-aid.ai/cat
 - `--max-test-cmd-retries`: Maximum number of test command retry attempts (default: 3)
 - `--test-cmd-timeout`: Timeout in seconds for test command execution (default: 300)
 - `--version`: Show program version number and exit
-- `--server`: Launch the server with web interface (alpha feature)
-- `--server-host`: Host to listen on for server (default: 0.0.0.0)  (alpha feature)
-- `--server-port`: Port to listen on for server (default: 1818) (alpha feature)
+- `--webui`: Launch the web interface (alpha feature)
+- `--webui-host`: Host to listen on for web interface (default: 0.0.0.0)  (alpha feature)
+- `--webui-port`: Port to listen on for web interface (default: 8080) (alpha feature)
 
 ### Example Tasks
 
@@ -305,30 +305,30 @@ Make sure to set your TAVILY_API_KEY environment variable to enable this feature
 
 Enable with `--chat` to transform ra-aid into an interactive assistant that guides you through research and implementation tasks. Have a natural conversation about what you want to build, explore options together, and dispatch work - all while maintaining context of your discussion. Perfect for when you want to think through problems collaboratively rather than just executing commands.
 
-### Server with Web Interface
+### Web Interface
 
-RA.Aid includes a modern server with web interface that provides:
+RA.Aid includes a modern web interface that provides:
 - Beautiful dark-themed chat interface
 - Real-time streaming of command output
 - Request history with quick resubmission
 - Responsive design that works on all devices
 
-To launch the server with web interface:
+To launch the web interface:
 
 ```bash
-# Start with default settings (0.0.0.0:1818)
-ra-aid --server
+# Start with default settings (0.0.0.0:8080)
+ra-aid --webui
 
 # Specify custom host and port
-ra-aid --server --server-host 127.0.0.1 --server-port 3000
+ra-aid --webui --webui-host 127.0.0.1 --webui-port 3000
 ```
 
-Command line options for server with web interface:
-- `--server`: Launch the server with web interface
-- `--server-host`: Host to listen on (default: 0.0.0.0)
-- `--server-port`: Port to listen on (default: 1818)
+Command line options for web interface:
+- `--webui`: Launch the web interface
+- `--webui-host`: Host to listen on (default: 0.0.0.0)
+- `--webui-port`: Port to listen on (default: 8080)
 
-After starting the server, open your web browser to the displayed URL (e.g., http://localhost:1818). The interface provides:
+After starting the server, open your web browser to the displayed URL (e.g., http://localhost:8080). The interface provides:
 - Left sidebar showing request history
 - Main chat area with real-time output
 - Input box for typing requests
@@ -541,7 +541,7 @@ source venv/bin/activate  # On Windows use `venv\Scripts\activate`
 
 3. Install development dependencies:
 ```bash
-pip install -e ".[dev]"
+pip install -r requirements-dev.txt
 ```
 
 4. Run tests:

components.json

@@ -1,16 +0,0 @@
-{
-  "$schema": "https://ui.shadcn.com/schema.json",
-  "style": "new-york",
-  "rsc": false,
-  "tsx": true,
-  "tailwind": {
-    "config": "frontend/common/tailwind.config.js",
-    "css": "frontend/common/src/styles/global.css",
-    "baseColor": "zinc",
-    "cssVariables": true
-  },
-  "aliases": {
-    "components": "@ra-aid/common/components",
-    "utils": "@ra-aid/common/utils"
-  }
-}

docs/docs/configuration/reasoning-assistance.md

@@ -1,96 +0,0 @@
-# Reasoning Assistance
-
-## Overview
-
-Reasoning Assistance is a feature in RA.Aid that helps weaker models make better decisions about tool usage and task planning. It leverages a stronger model (typically your expert model) to provide strategic guidance to the main agent model at the beginning of each agent stage.
-
-This feature is particularly useful when working with less capable models that may struggle with complex reasoning, tool selection, or planning. By providing expert guidance upfront, these models can perform more effectively and produce better results.
-
-## How It Works
-
-When reasoning assistance is enabled, RA.Aid performs the following steps at the beginning of each agent stage (research, planning, implementation):
-
-1. Makes a one-off call to the expert model with a specialized prompt that includes:
-   - A description of the current task and stage
-   - The complete list of available tools
-   - Instructions to provide strategic guidance on approaching the task
-
-2. Incorporates the expert model's response into the main agent's prompt.
-
-3. The main agent then proceeds with execution, guided by the expert's recommendations on which tools to use and how to approach the task
-
-## Configuration
-
-### Command Line Flags
-
-You can enable or disable reasoning assistance using these command-line flags:
-
-```bash
-# Enable reasoning assistance
-ra-aid -m "Your task description" --reasoning-assistance
-
-# Disable reasoning assistance (overrides model defaults)
-ra-aid -m "Your task description" --no-reasoning-assistance
-```
-
-## Examples
-
-### Using Reasoning Assistance with Weaker Models
-
-```bash
-# Use qwen-qwq-32b as the expert model to provide guidance
-ra-aid --model qwen-32b-coder-instruct --expert-model qwen-qwq-32b --reasoning-assistance -m "Create a simple web server in Python" 
-```
-
-### Disabling Reasoning Assistance for Strong Models
-
-Reasoning assistance has different defaults depending on which model is used. If you would like to explicitly disable reasoning assistance, use the `--no-reasoning-assistance` flag.
-
-```bash
-# Use Claude 3 Opus without reasoning assistance
-ra-aid -m "Create a simple web server in Python" --model claude-3-opus-20240229 --no-reasoning-assistance
-```
-
-## Benefits and Use Cases
-
-Reasoning assistance provides several advantages:
-
-1. **Better Tool Selection**: Helps models choose the right tools for specific tasks
-2. **Improved Planning**: Provides strategic guidance on how to approach complex problems
-3. **Reduced Errors**: Decreases the likelihood of tool misuse or inefficient approaches
-4. **Model Flexibility**: Allows using weaker models more effectively by augmenting their reasoning capabilities
-5. **Consistency**: Ensures more consistent behavior across different models
-
-Common use cases include:
-
-- Working with open-source models that have less robust tool use capabilities
-- Tackling complex tasks that require careful planning and tool sequencing
-- Ensuring consistent behavior when switching between different models
-
-## Best Practices
-
-For optimal results with reasoning assistance:
-
-1. **Use Strong Expert Models**: The quality of reasoning assistance depends on the expert model's capabilities. Use the strongest model available for the expert role.
-
-2. **Enable for Weaker Models**: Enable reasoning assistance by default for models known to struggle with tool selection or complex reasoning.
-
-3. **Disable for Strong Models**: Models like Claude 3 Opus or GPT-4 typically don't need reasoning assistance and might perform better without it.
-
-4. **Custom Tasks**: For highly specialized or unusual tasks, manually enabling reasoning assistance can be beneficial even for stronger models.
-
-5. **Review Generated Guidance**: If debugging issues, examine the expert guidance provided to understand how it's influencing the agent's behavior.
-
-## Troubleshooting
-
-Common issues and solutions:
-
-| Issue | Possible Solution |
-|-------|-------------------|
-| Reasoning assistance seems to make no difference | Verify both `--reasoning-assistance` flag is set and check the logs to confirm the expert model is being called |
-| Expert model provides irrelevant or incorrect agent guidance | Try using a stronger expert model with `--expert-model` flag |
-| Agent ignores expert guidance | Some models may not correctly follow the guidance format; try a different agent model |
-| Slow performance | Reasoning assistance requires an additional model call at the start of each stage; disable it for simpler tasks if speed is critical |
-| Conflicting approach with custom instructions | If you're providing specific instructions that conflict with reasoning assistance, use `--no-reasoning-assistance` |
-
-If problems persist, check if the expert model and agent model are compatible, and consider adjusting the temperature setting to control randomness in both models.

frontend/common/dist/components/ui/button.d.ts

@@ -1,11 +0,0 @@
-import * as React from "react";
-import { type VariantProps } from "class-variance-authority";
-declare const buttonVariants: (props?: ({
-    variant?: "default" | "destructive" | "outline" | "secondary" | "ghost" | "link" | null | undefined;
-    size?: "default" | "sm" | "lg" | "icon" | null | undefined;
-} & import("class-variance-authority/dist/types").ClassProp) | undefined) => string;
-export interface ButtonProps extends React.ButtonHTMLAttributes<HTMLButtonElement>, VariantProps<typeof buttonVariants> {
-    asChild?: boolean;
-}
-declare const Button: React.ForwardRefExoticComponent<ButtonProps & React.RefAttributes<HTMLButtonElement>>;
-export { Button, buttonVariants };

frontend/common/dist/components/ui/button.js

@@ -1,44 +0,0 @@
-var __rest = (this && this.__rest) || function (s, e) {
-    var t = {};
-    for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p) && e.indexOf(p) < 0)
-        t[p] = s[p];
-    if (s != null && typeof Object.getOwnPropertySymbols === "function")
-        for (var i = 0, p = Object.getOwnPropertySymbols(s); i < p.length; i++) {
-            if (e.indexOf(p[i]) < 0 && Object.prototype.propertyIsEnumerable.call(s, p[i]))
-                t[p[i]] = s[p[i]];
-        }
-    return t;
-};
-import * as React from "react";
-import { Slot } from "@radix-ui/react-slot";
-import { cva } from "class-variance-authority";
-import { cn } from "../../utils";
-const buttonVariants = cva("inline-flex items-center justify-center whitespace-nowrap rounded-md text-sm font-medium transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:pointer-events-none disabled:opacity-50", {
-    variants: {
-        variant: {
-            default: "bg-primary text-primary-foreground shadow hover:bg-primary/90",
-            destructive: "bg-destructive text-destructive-foreground shadow-sm hover:bg-destructive/90",
-            outline: "border border-input bg-background shadow-sm hover:bg-accent hover:text-accent-foreground",
-            secondary: "bg-secondary text-secondary-foreground shadow-sm hover:bg-secondary/80",
-            ghost: "hover:bg-accent hover:text-accent-foreground",
-            link: "text-primary underline-offset-4 hover:underline",
-        },
-        size: {
-            default: "h-9 px-4 py-2",
-            sm: "h-8 rounded-md px-3 text-xs",
-            lg: "h-10 rounded-md px-8",
-            icon: "h-9 w-9",
-        },
-    },
-    defaultVariants: {
-        variant: "default",
-        size: "default",
-    },
-});
-const Button = React.forwardRef((_a, ref) => {
-    var { className, variant, size, asChild = false } = _a, props = __rest(_a, ["className", "variant", "size", "asChild"]);
-    const Comp = asChild ? Slot : "button";
-    return (React.createElement(Comp, Object.assign({ className: cn(buttonVariants({ variant, size, className })), ref: ref }, props)));
-});
-Button.displayName = "Button";
-export { Button, buttonVariants };

frontend/common/dist/components/ui/card.d.ts

@@ -1,8 +0,0 @@
-import * as React from "react";
-declare const Card: React.ForwardRefExoticComponent<React.HTMLAttributes<HTMLDivElement> & React.RefAttributes<HTMLDivElement>>;
-declare const CardHeader: React.ForwardRefExoticComponent<React.HTMLAttributes<HTMLDivElement> & React.RefAttributes<HTMLDivElement>>;
-declare const CardTitle: React.ForwardRefExoticComponent<React.HTMLAttributes<HTMLHeadingElement> & React.RefAttributes<HTMLParagraphElement>>;
-declare const CardDescription: React.ForwardRefExoticComponent<React.HTMLAttributes<HTMLParagraphElement> & React.RefAttributes<HTMLParagraphElement>>;
-declare const CardContent: React.ForwardRefExoticComponent<React.HTMLAttributes<HTMLDivElement> & React.RefAttributes<HTMLDivElement>>;
-declare const CardFooter: React.ForwardRefExoticComponent<React.HTMLAttributes<HTMLDivElement> & React.RefAttributes<HTMLDivElement>>;
-export { Card, CardHeader, CardFooter, CardTitle, CardDescription, CardContent };

frontend/common/dist/components/ui/card.js

@@ -1,44 +0,0 @@
-var __rest = (this && this.__rest) || function (s, e) {
-    var t = {};
-    for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p) && e.indexOf(p) < 0)
-        t[p] = s[p];
-    if (s != null && typeof Object.getOwnPropertySymbols === "function")
-        for (var i = 0, p = Object.getOwnPropertySymbols(s); i < p.length; i++) {
-            if (e.indexOf(p[i]) < 0 && Object.prototype.propertyIsEnumerable.call(s, p[i]))
-                t[p[i]] = s[p[i]];
-        }
-    return t;
-};
-import * as React from "react";
-import { cn } from "../../utils";
-const Card = React.forwardRef((_a, ref) => {
-    var { className } = _a, props = __rest(_a, ["className"]);
-    return (React.createElement("div", Object.assign({ ref: ref, className: cn("rounded-xl border bg-card text-card-foreground shadow", className) }, props)));
-});
-Card.displayName = "Card";
-const CardHeader = React.forwardRef((_a, ref) => {
-    var { className } = _a, props = __rest(_a, ["className"]);
-    return (React.createElement("div", Object.assign({ ref: ref, className: cn("flex flex-col space-y-1.5 p-6", className) }, props)));
-});
-CardHeader.displayName = "CardHeader";
-const CardTitle = React.forwardRef((_a, ref) => {
-    var { className } = _a, props = __rest(_a, ["className"]);
-    return (React.createElement("h3", Object.assign({ ref: ref, className: cn("font-semibold leading-none tracking-tight", className) }, props)));
-});
-CardTitle.displayName = "CardTitle";
-const CardDescription = React.forwardRef((_a, ref) => {
-    var { className } = _a, props = __rest(_a, ["className"]);
-    return (React.createElement("p", Object.assign({ ref: ref, className: cn("text-sm text-muted-foreground", className) }, props)));
-});
-CardDescription.displayName = "CardDescription";
-const CardContent = React.forwardRef((_a, ref) => {
-    var { className } = _a, props = __rest(_a, ["className"]);
-    return (React.createElement("div", Object.assign({ ref: ref, className: cn("p-6 pt-0", className) }, props)));
-});
-CardContent.displayName = "CardContent";
-const CardFooter = React.forwardRef((_a, ref) => {
-    var { className } = _a, props = __rest(_a, ["className"]);
-    return (React.createElement("div", Object.assign({ ref: ref, className: cn("flex items-center p-6 pt-0", className) }, props)));
-});
-CardFooter.displayName = "CardFooter";
-export { Card, CardHeader, CardFooter, CardTitle, CardDescription, CardContent };

frontend/common/dist/components/ui/index.d.ts

@@ -1,9 +0,0 @@
-export * from './button';
-export * from './card';
-export * from './collapsible';
-export * from './floating-action-button';
-export * from './input';
-export * from './layout';
-export * from './sheet';
-export * from './switch';
-export * from './scroll-area';

frontend/common/dist/components/ui/index.js

@@ -1,9 +0,0 @@
-export * from './button';
-export * from './card';
-export * from './collapsible';
-export * from './floating-action-button';
-export * from './input';
-export * from './layout';
-export * from './sheet';
-export * from './switch';
-export * from './scroll-area';

frontend/common/dist/components/ui/input.d.ts

@@ -1,5 +0,0 @@
-import * as React from "react";
-export interface InputProps extends React.InputHTMLAttributes<HTMLInputElement> {
-}
-declare const Input: React.ForwardRefExoticComponent<InputProps & React.RefAttributes<HTMLInputElement>>;
-export { Input };

frontend/common/dist/components/ui/input.js

@@ -1,19 +0,0 @@
-var __rest = (this && this.__rest) || function (s, e) {
-    var t = {};
-    for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p) && e.indexOf(p) < 0)
-        t[p] = s[p];
-    if (s != null && typeof Object.getOwnPropertySymbols === "function")
-        for (var i = 0, p = Object.getOwnPropertySymbols(s); i < p.length; i++) {
-            if (e.indexOf(p[i]) < 0 && Object.prototype.propertyIsEnumerable.call(s, p[i]))
-                t[p[i]] = s[p[i]];
-        }
-    return t;
-};
-import * as React from "react";
-import { cn } from "../../utils";
-const Input = React.forwardRef((_a, ref) => {
-    var { className, type } = _a, props = __rest(_a, ["className", "type"]);
-    return (React.createElement("input", Object.assign({ type: type, className: cn("flex h-9 w-full rounded-md border border-input bg-background px-3 py-1 text-sm shadow-sm transition-colors file:border-0 file:bg-transparent file:text-sm file:font-medium placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:cursor-not-allowed disabled:opacity-50", className), ref: ref }, props)));
-});
-Input.displayName = "Input";
-export { Input };

frontend/common/dist/components/ui/switch.d.ts

@@ -1,4 +0,0 @@
-import * as React from "react";
-import * as SwitchPrimitives from "@radix-ui/react-switch";
-declare const Switch: React.ForwardRefExoticComponent<Omit<SwitchPrimitives.SwitchProps & React.RefAttributes<HTMLButtonElement>, "ref"> & React.RefAttributes<HTMLButtonElement>>;
-export { Switch };

frontend/common/dist/components/ui/switch.js

@@ -1,21 +0,0 @@
-var __rest = (this && this.__rest) || function (s, e) {
-    var t = {};
-    for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p) && e.indexOf(p) < 0)
-        t[p] = s[p];
-    if (s != null && typeof Object.getOwnPropertySymbols === "function")
-        for (var i = 0, p = Object.getOwnPropertySymbols(s); i < p.length; i++) {
-            if (e.indexOf(p[i]) < 0 && Object.prototype.propertyIsEnumerable.call(s, p[i]))
-                t[p[i]] = s[p[i]];
-        }
-    return t;
-};
-import * as React from "react";
-import * as SwitchPrimitives from "@radix-ui/react-switch";
-import { cn } from "../../utils";
-const Switch = React.forwardRef((_a, ref) => {
-    var { className } = _a, props = __rest(_a, ["className"]);
-    return (React.createElement(SwitchPrimitives.Root, Object.assign({ className: cn("peer inline-flex h-5 w-9 shrink-0 cursor-pointer items-center rounded-full border-2 border-transparent shadow-sm transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 focus-visible:ring-offset-background disabled:cursor-not-allowed disabled:opacity-50 data-[state=checked]:bg-primary data-[state=unchecked]:bg-input", className) }, props, { ref: ref }),
-        React.createElement(SwitchPrimitives.Thumb, { className: cn("pointer-events-none block h-4 w-4 rounded-full bg-background shadow-lg ring-0 transition-transform data-[state=checked]:translate-x-4 data-[state=unchecked]:translate-x-0") })));
-});
-Switch.displayName = SwitchPrimitives.Root.displayName;
-export { Switch };

frontend/common/dist/index.d.ts

@@ -1,11 +0,0 @@
-import './styles/global.css';
-export * from './utils/types';
-export * from './utils';
-export * from './components/ui';
-export * from './components/TimelineStep';
-export * from './components/TimelineFeed';
-export * from './components/SessionDrawer';
-export * from './components/SessionSidebar';
-export * from './components/DefaultAgentScreen';
-export declare const hello: () => void;
-export { getSampleAgentSteps, getSampleAgentSessions } from './utils/sample-data';

frontend/common/dist/index.js

@@ -1,22 +0,0 @@
-// Entry point for @ra-aid/common package
-import './styles/global.css';
-// Export types first to avoid circular references
-export * from './utils/types';
-// Export utility functions
-export * from './utils';
-// Export UI components
-export * from './components/ui';
-// Export timeline components
-export * from './components/TimelineStep';
-export * from './components/TimelineFeed';
-// Export session navigation components
-export * from './components/SessionDrawer';
-export * from './components/SessionSidebar';
-// Export main screens
-export * from './components/DefaultAgentScreen';
-// Export the hello function (temporary example)
-export const hello = () => {
-    console.log("Hello from @ra-aid/common");
-};
-// Directly export sample data functions
-export { getSampleAgentSteps, getSampleAgentSessions } from './utils/sample-data';

frontend/common/dist/utils.d.ts

@@ -1,7 +0,0 @@
-import { type ClassValue } from "clsx";
-/**
- * Merges class names with Tailwind CSS classes
- * Combines clsx for conditional logic and tailwind-merge for handling conflicting tailwind classes
- */
-export declare function cn(...inputs: ClassValue[]): string;
-export * from './utils';

frontend/common/dist/utils.js

@@ -1,11 +0,0 @@
-import { clsx } from "clsx";
-import { twMerge } from "tailwind-merge";
-/**
- * Merges class names with Tailwind CSS classes
- * Combines clsx for conditional logic and tailwind-merge for handling conflicting tailwind classes
- */
-export function cn(...inputs) {
-    return twMerge(clsx(inputs));
-}
-// Re-export everything from utils directory
-export * from './utils';

frontend/common/package.json

@@ -1,43 +0,0 @@
-{
-  "name": "@ra-aid/common",
-  "version": "1.0.0",
-  "private": true,
-  "main": "src/index.ts",
-  "types": "src/index.ts",
-  "scripts": {
-    "build": "tsc && postcss src/styles/global.css -o dist/styles/global.css",
-    "dev": "tsc --watch",
-    "watch:css": "postcss src/styles/global.css -o dist/styles/global.css --watch",
-    "watch": "concurrently \"npm run dev\" \"npm run watch:css\"",
-    "prepare": "npm run build"
-  },
-  "dependencies": {
-    "@radix-ui/react-collapsible": "^1.1.3",
-    "@radix-ui/react-dialog": "^1.0.5",
-    "@radix-ui/react-label": "^2.0.2",
-    "@radix-ui/react-popover": "^1.0.7",
-    "@radix-ui/react-scroll-area": "^1.2.3",
-    "@radix-ui/react-select": "^2.0.0",
-    "@radix-ui/react-slot": "^1.0.2",
-    "@radix-ui/react-switch": "^1.1.3",
-    "class-variance-authority": "^0.7.0",
-    "clsx": "^2.1.0",
-    "lucide-react": "^0.363.0",
-    "tailwind-merge": "^2.2.0",
-    "tailwindcss-animate": "^1.0.7"
-  },
-  "devDependencies": {
-    "@types/react": "^18.2.64",
-    "@types/react-dom": "^18.2.21",
-    "autoprefixer": "^10.4.17",
-    "concurrently": "^8.2.2",
-    "postcss": "^8.4.35",
-    "postcss-cli": "^10.1.0",
-    "tailwindcss": "^3.4.1",
-    "typescript": "^5.0.0"
-  },
-  "peerDependencies": {
-    "react": ">=18.0.0",
-    "react-dom": ">=18.0.0"
-  }
-}

frontend/common/postcss.config.js

@@ -1,6 +0,0 @@
-module.exports = {
-  plugins: {
-    tailwindcss: {},
-    autoprefixer: {},
-  },
-}

frontend/common/src/components/DefaultAgentScreen.tsx

@@ -1,258 +0,0 @@
-import React, { useState, useEffect } from 'react';
-import { createPortal } from 'react-dom';
-import { PanelLeft } from 'lucide-react';
-import { 
-  Button,
-  Layout
-} from './ui';
-import { SessionDrawer } from './SessionDrawer';
-import { SessionList } from './SessionList';
-import { TimelineFeed } from './TimelineFeed';
-import { getSampleAgentSessions, getSampleAgentSteps } from '../utils/sample-data';
-import logoBlack from '../assets/logo-black-transparent.png';
-import logoWhite from '../assets/logo-white-transparent.gif';
-
-/**
- * DefaultAgentScreen component
- * 
- * Main application screen for displaying agent sessions and their steps.
- * Handles state management, responsive design, and UI interactions.
- */
-export const DefaultAgentScreen: React.FC = () => {
-  // State for drawer open/close
-  const [isDrawerOpen, setIsDrawerOpen] = useState(false);
-  
-  // State for selected session
-  const [selectedSessionId, setSelectedSessionId] = useState<string | null>(null);
-  
-  // State for theme (dark is default)
-  const [isDarkTheme, setIsDarkTheme] = useState(true);
-  
-  // Get sample data
-  const sessions = getSampleAgentSessions();
-  const allSteps = getSampleAgentSteps();
-  
-  // Set up theme on component mount
-  useEffect(() => {
-    const isDark = setupTheme();
-    setIsDarkTheme(isDark);
-  }, []);
-  
-  // Set initial selected session if none selected
-  useEffect(() => {
-    if (!selectedSessionId && sessions.length > 0) {
-      setSelectedSessionId(sessions[0].id);
-    }
-  }, [sessions, selectedSessionId]);
-  
-  // Close drawer when window resizes to desktop width
-  useEffect(() => {
-    const handleResize = () => {
-      // Check if we're at desktop size (corresponds to md: breakpoint in Tailwind)
-      if (window.innerWidth >= 768 && isDrawerOpen) {
-        setIsDrawerOpen(false);
-      }
-    };
-
-    // Add event listener
-    window.addEventListener('resize', handleResize);
-    
-    // Clean up event listener on component unmount
-    return () => window.removeEventListener('resize', handleResize);
-  }, [isDrawerOpen]);
-  
-  // Filter steps for selected session
-  const selectedSessionSteps = selectedSessionId 
-    ? allSteps.filter(step => sessions.find(s => s.id === selectedSessionId)?.steps.some(s => s.id === step.id))
-    : [];
-  
-  // Handle session selection
-  const handleSessionSelect = (sessionId: string) => {
-    setSelectedSessionId(sessionId);
-    setIsDrawerOpen(false); // Close drawer on selection (mobile)
-  };
-  
-  // Toggle theme function
-  const toggleTheme = () => {
-    const newIsDark = !isDarkTheme;
-    setIsDarkTheme(newIsDark);
-    
-    // Update document element class
-    if (newIsDark) {
-      document.documentElement.classList.add('dark');
-    } else {
-      document.documentElement.classList.remove('dark');
-    }
-    
-    // Save to localStorage
-    localStorage.setItem('theme', newIsDark ? 'dark' : 'light');
-  };
-  
-  // Render header content
-  const headerContent = (
-    <div className="w-full flex items-center justify-between h-full px-4">
-      <div className="flex-initial">
-        {/* Use the appropriate logo based on theme */}
-        <img 
-          src={isDarkTheme ? logoWhite : logoBlack} 
-          alt="RA.Aid Logo" 
-          className="h-8"
-        />
-      </div>
-      
-      <div className="flex-initial ml-auto">
-        {/* Theme toggle button */}
-        <Button 
-          variant="ghost" 
-          size="icon" 
-          onClick={toggleTheme}
-          aria-label={isDarkTheme ? "Switch to light mode" : "Switch to dark mode"}
-        >
-          {isDarkTheme ? (
-            // Sun icon for light mode toggle
-            <svg 
-              xmlns="http://www.w3.org/2000/svg" 
-              width="20" 
-              height="20" 
-              viewBox="0 0 24 24" 
-              fill="none" 
-              stroke="currentColor" 
-              strokeWidth="2" 
-              strokeLinecap="round" 
-              strokeLinejoin="round"
-            >
-              <circle cx="12" cy="12" r="5" />
-              <line x1="12" y1="1" x2="12" y2="3" />
-              <line x1="12" y1="21" x2="12" y2="23" />
-              <line x1="4.22" y1="4.22" x2="5.64" y2="5.64" />
-              <line x1="18.36" y1="18.36" x2="19.78" y2="19.78" />
-              <line x1="1" y1="12" x2="3" y2="12" />
-              <line x1="21" y1="12" x2="23" y2="12" />
-              <line x1="4.22" y1="19.78" x2="5.64" y2="18.36" />
-              <line x1="18.36" y1="5.64" x2="19.78" y2="4.22" />
-            </svg>
-          ) : (
-            // Moon icon for dark mode toggle
-            <svg 
-              xmlns="http://www.w3.org/2000/svg" 
-              width="20" 
-              height="20" 
-              viewBox="0 0 24 24" 
-              fill="none" 
-              stroke="currentColor" 
-              strokeWidth="2" 
-              strokeLinecap="round" 
-              strokeLinejoin="round"
-            >
-              <path d="M21 12.79A9 9 0 1 1 11.21 3 7 7 0 0 0 21 12.79z" />
-            </svg>
-          )}
-        </Button>
-      </div>
-    </div>
-  );
-
-  // Sidebar content with sessions list
-  const sidebarContent = (
-    <div className="h-full flex flex-col px-4 py-3">
-      <SessionList 
-        sessions={sessions}
-        onSelectSession={handleSessionSelect}
-        currentSessionId={selectedSessionId || undefined}
-        className="flex-1 pr-1 -mr-1"
-      />
-    </div>
-  );
-
-  // Render drawer
-  const drawerContent = (
-    <SessionDrawer 
-      sessions={sessions}
-      currentSessionId={selectedSessionId || undefined}
-      onSelectSession={handleSessionSelect}
-      isOpen={isDrawerOpen}
-      onClose={() => setIsDrawerOpen(false)}
-    />
-  );
-
-  // Render main content
-  const mainContent = (
-    selectedSessionId ? (
-      <>
-        <h2 className="text-xl font-semibold mb-4">
-          Session: {sessions.find(s => s.id === selectedSessionId)?.name || 'Unknown'}
-        </h2>
-        <TimelineFeed 
-          steps={selectedSessionSteps}
-        />
-      </>
-    ) : (
-      <div className="flex items-center justify-center h-full">
-        <p className="text-muted-foreground">Select a session to view details</p>
-      </div>
-    )
-  );
-
-  // Floating action button component that uses Portal to render at document body level
-  const FloatingActionButton = ({ onClick }: { onClick: () => void }) => {
-    // Only render the portal on the client side, not during SSR
-    const [mounted, setMounted] = useState(false);
-    
-    useEffect(() => {
-      setMounted(true);
-      return () => setMounted(false);
-    }, []);
-    
-    const button = (
-      <Button
-        variant="default"
-        size="icon"
-        onClick={onClick}
-        aria-label="Toggle sessions panel"
-        className="h-14 w-14 rounded-full shadow-xl bg-zinc-800 hover:bg-zinc-700 text-zinc-100 flex items-center justify-center border-2 border-zinc-700 dark:border-zinc-600"
-      >
-        <PanelLeft className="h-6 w-6" />
-      </Button>
-    );
-    
-    const container = (
-      <div className="fixed bottom-6 right-6 z-[9999] md:hidden" style={{ pointerEvents: 'auto' }}>
-        {button}
-      </div>
-    );
-    
-    // Return null during SSR, or the portal on the client
-    return mounted ? createPortal(container, document.body) : null;
-  };
-
-  return (
-    <>
-      <Layout
-        header={headerContent}
-        sidebar={sidebarContent}
-        drawer={drawerContent}
-      >
-        {mainContent}
-      </Layout>
-      <FloatingActionButton onClick={() => setIsDrawerOpen(true)} />
-    </>
-  );
-};
-
-// Helper function for theme setup
-const setupTheme = () => {
-  // Check if theme preference is stored in localStorage
-  const storedTheme = localStorage.getItem('theme');
-  
-  // Default to dark mode unless explicitly set to light
-  const isDark = storedTheme ? storedTheme === 'dark' : true;
-  
-  // Apply theme to document
-  if (isDark) {
-    document.documentElement.classList.add('dark');
-  } else {
-    document.documentElement.classList.remove('dark');
-  }
-  
-  return isDark;
-};

frontend/common/src/components/SessionDrawer.tsx

@@ -1,47 +0,0 @@
-import React from 'react';
-import { 
-  Sheet, 
-  SheetContent, 
-  SheetHeader, 
-  SheetTitle, 
-  SheetClose 
-} from './ui/sheet';
-import { AgentSession } from '../utils/types';
-import { getSampleAgentSessions } from '../utils/sample-data';
-import { SessionList } from './SessionList';
-
-interface SessionDrawerProps {
-  onSelectSession?: (sessionId: string) => void;
-  currentSessionId?: string;
-  sessions?: AgentSession[];
-  isOpen?: boolean;
-  onClose?: () => void;
-}
-
-export const SessionDrawer: React.FC<SessionDrawerProps> = ({ 
-  onSelectSession, 
-  currentSessionId,
-  sessions = getSampleAgentSessions(),
-  isOpen = false,
-  onClose
-}) => {
-  return (
-    <Sheet open={isOpen} onOpenChange={onClose}>
-      <SheetContent 
-        side="left" 
-        className="w-full sm:max-w-md border-r border-border p-4"
-      >
-        <SheetHeader className="px-2">
-          <SheetTitle>Sessions</SheetTitle>
-        </SheetHeader>
-        <SessionList
-          sessions={sessions}
-          currentSessionId={currentSessionId}
-          onSelectSession={onSelectSession}
-          className="h-[calc(100vh-9rem)] mt-4"
-          wrapperComponent={SheetClose}
-        />
-      </SheetContent>
-    </Sheet>
-  );
-};

frontend/common/src/components/SessionList.tsx

@@ -1,93 +0,0 @@
-import React from 'react';
-import { ScrollArea } from './ui/scroll-area';
-import { AgentSession } from '../utils/types';
-import { getSampleAgentSessions } from '../utils/sample-data';
-
-interface SessionListProps {
-  onSelectSession?: (sessionId: string) => void;
-  currentSessionId?: string;
-  sessions?: AgentSession[];
-  className?: string;
-  wrapperComponent?: React.ElementType;
-  closeAction?: React.ReactNode;
-}
-
-export const SessionList: React.FC<SessionListProps> = ({ 
-  onSelectSession, 
-  currentSessionId,
-  sessions = getSampleAgentSessions(),
-  className = '',
-  wrapperComponent: WrapperComponent = 'button',
-  closeAction
-}) => {
-  // Get status color
-  const getStatusColor = (status: string) => {
-    switch (status) {
-      case 'active':
-        return 'bg-blue-500';
-      case 'completed':
-        return 'bg-green-500';
-      case 'error':
-        return 'bg-red-500';
-      default:
-        return 'bg-gray-500';
-    }
-  };
-
-  // Format timestamp
-  const formatDate = (date: Date) => {
-    return date.toLocaleDateString([], { 
-      month: 'short', 
-      day: 'numeric', 
-      hour: '2-digit', 
-      minute: '2-digit' 
-    });
-  };
-
-  return (
-    <ScrollArea className={className}>
-      <div className="space-y-1.5 pt-1.5 pb-2">
-        {sessions.map((session) => {
-          const buttonContent = (
-            <>
-              <div className={`w-2.5 h-2.5 rounded-full ${getStatusColor(session.status)} mt-1.5 mr-3 flex-shrink-0`} />
-              <div className="flex-1 min-w-0 pr-1">
-                <div className="font-medium text-sm+ break-words">{session.name}</div>
-                <div className="text-xs text-muted-foreground mt-1 break-words">
-                  {session.steps.length} steps • {formatDate(session.updated)}
-                </div>
-                <div className="text-xs text-muted-foreground mt-0.5 break-words">
-                  <span className="capitalize">{session.status}</span>
-                </div>
-              </div>
-            </>
-          );
-
-          return React.createElement(
-            WrapperComponent,
-            {
-              key: session.id,
-              onClick: () => onSelectSession?.(session.id),
-              className: `w-full flex items-start px-3 py-2.5 text-left rounded-md transition-colors hover:bg-accent/50 ${
-                currentSessionId === session.id ? 'bg-accent' : ''
-              }`
-            },
-            closeAction ? (
-              <>
-                {buttonContent}
-                <div className="ml-2 flex-shrink-0 self-center">
-                  {React.cloneElement(closeAction as React.ReactElement, { 
-                    onClick: (e: React.MouseEvent) => {
-                      e.stopPropagation();
-                      onSelectSession?.(session.id);
-                    }
-                  })}
-                </div>
-              </>
-            ) : buttonContent
-          );
-        })}
-      </div>
-    </ScrollArea>
-  );
-};

frontend/common/src/components/SessionSidebar.tsx

@@ -1,32 +0,0 @@
-import React from 'react';
-import { AgentSession } from '../utils/types';
-import { getSampleAgentSessions } from '../utils/sample-data';
-import { SessionList } from './SessionList';
-
-interface SessionSidebarProps {
-  onSelectSession?: (sessionId: string) => void;
-  currentSessionId?: string;
-  sessions?: AgentSession[];
-  className?: string;
-}
-
-export const SessionSidebar: React.FC<SessionSidebarProps> = ({ 
-  onSelectSession, 
-  currentSessionId,
-  sessions = getSampleAgentSessions(),
-  className = ''
-}) => {
-  return (
-    <div className={`flex flex-col h-full ${className}`}>
-      <div className="p-4 border-b border-border">
-        <h3 className="font-medium text-lg">Sessions</h3>
-      </div>
-      <SessionList
-        sessions={sessions}
-        currentSessionId={currentSessionId}
-        onSelectSession={onSelectSession}
-        className="flex-1"
-      />
-    </div>
-  );
-};

frontend/common/src/components/TimelineFeed.tsx

@@ -1,45 +0,0 @@
-import React, { useMemo } from 'react';
-import { TimelineStep } from './TimelineStep';
-import { AgentStep } from '../utils/types';
-
-interface TimelineFeedProps {
-  steps: AgentStep[];
-  maxHeight?: string;
-}
-
-export const TimelineFeed: React.FC<TimelineFeedProps> = ({
-  steps,
-  maxHeight
-}) => {
-  // Always use 'desc' (newest first) sort order
-  const sortOrder = 'desc';
-  
-  // Sort steps with newest first (desc order)
-  const sortedSteps = useMemo(() => {
-    return [...steps].sort((a, b) => {
-      return b.timestamp.getTime() - a.timestamp.getTime();
-    });
-  }, [steps]);
-
-  return (
-    <div className="w-full rounded-md bg-background">
-      <div 
-        className="px-3 py-3 space-y-4 overflow-auto" 
-        style={{ maxHeight: maxHeight || undefined }}
-      >
-        {sortedSteps.length > 0 ? (
-          sortedSteps.map((step) => (
-            <TimelineStep key={step.id} step={step} />
-          ))
-        ) : (
-          <div className="text-center text-muted-foreground py-12 border border-dashed border-border rounded-md">
-            <svg xmlns="http://www.w3.org/2000/svg" className="h-8 w-8 mx-auto mb-2 text-muted-foreground/50" fill="none" viewBox="0 0 24 24" stroke="currentColor">
-              <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M12 8v4l3 3m6-3a9 9 0 11-18 0 9 9 0 0118 0z" />
-            </svg>
-            <p>No steps to display</p>
-          </div>
-        )}
-      </div>
-    </div>
-  );
-}

frontend/common/src/components/TimelineStep.tsx

@@ -1,99 +0,0 @@
-import React from 'react';
-import { Collapsible, CollapsibleContent, CollapsibleTrigger } from './ui/collapsible';
-import { AgentStep } from '../utils/types';
-
-interface TimelineStepProps {
-  step: AgentStep;
-}
-
-export const TimelineStep: React.FC<TimelineStepProps> = ({ step }) => {
-  // Get status color
-  const getStatusColor = (status: string) => {
-    switch (status) {
-      case 'completed':
-        return 'bg-green-500';
-      case 'in-progress':
-        return 'bg-blue-500';
-      case 'error':
-        return 'bg-red-500';
-      case 'pending':
-        return 'bg-yellow-500';
-      default:
-        return 'bg-gray-500';
-    }
-  };
-
-  // Get icon based on step type
-  const getTypeIcon = (type: string) => {
-    switch (type) {
-      case 'tool-execution':
-        return '🛠️';
-      case 'thinking':
-        return '💭';
-      case 'planning':
-        return '📝';
-      case 'implementation':
-        return '💻';
-      case 'user-input':
-        return '👤';
-      default:
-        return '▶️';
-    }
-  };
-
-  // Format timestamp
-  const formatTime = (timestamp: Date) => {
-    return timestamp.toLocaleTimeString([], { hour: '2-digit', minute: '2-digit' });
-  };
-
-  return (
-    <Collapsible className="w-full mb-5 border border-border rounded-md overflow-hidden shadow-sm hover:shadow-md transition-all duration-200">
-      <CollapsibleTrigger className="w-full flex items-center justify-between p-4 text-left hover:bg-accent/30 cursor-pointer group">
-        <div className="flex items-center space-x-3 min-w-0 flex-1 pr-3">
-          <div className={`flex-shrink-0 w-3 h-3 rounded-full ${getStatusColor(step.status)} ring-1 ring-ring/20`} />
-          <div className="flex-shrink-0 text-lg group-hover:scale-110 transition-transform">{getTypeIcon(step.type)}</div>
-          <div className="min-w-0 flex-1">
-            <div className="font-medium text-foreground break-words">{step.title}</div>
-            <div className="text-sm text-muted-foreground line-clamp-2">
-              {step.type === 'tool-execution' ? 'Run tool' : step.content.substring(0, 60)}
-              {step.content.length > 60 ? '...' : ''}
-            </div>
-          </div>
-        </div>
-        <div className="text-xs text-muted-foreground flex flex-col items-end flex-shrink-0 min-w-[70px] text-right">
-          <span className="font-medium">{formatTime(step.timestamp)}</span>
-          {step.duration && (
-            <span className="mt-1 px-2 py-0.5 bg-secondary/50 rounded-full">
-              {(step.duration / 1000).toFixed(1)}s
-            </span>
-          )}
-        </div>
-      </CollapsibleTrigger>
-      <CollapsibleContent>
-        <div className="p-5 bg-card/50 border-t border-border">
-          <div className="text-sm break-words text-foreground leading-relaxed">
-            {step.content}
-          </div>
-          {step.duration && (
-            <div className="mt-4 pt-3 border-t border-border/50">
-              <div className="text-xs text-muted-foreground flex items-center">
-                <svg 
-                  xmlns="http://www.w3.org/2000/svg" 
-                  className="h-3.5 w-3.5 mr-1" 
-                  fill="none" 
-                  viewBox="0 0 24 24" 
-                  stroke="currentColor" 
-                  strokeWidth={2}
-                >
-                  <circle cx="12" cy="12" r="10" />
-                  <polyline points="12 6 12 12 16 14" />
-                </svg>
-                Duration: {(step.duration / 1000).toFixed(1)} seconds
-              </div>
-            </div>
-          )}
-        </div>
-      </CollapsibleContent>
-    </Collapsible>
-  );
-};

frontend/common/src/components/ui/button.tsx

@@ -1,57 +0,0 @@
-import * as React from "react";
-import { Slot } from "@radix-ui/react-slot";
-import { cva, type VariantProps } from "class-variance-authority";
-
-import { cn } from "../../utils";
-
-const buttonVariants = cva(
-  "inline-flex items-center justify-center whitespace-nowrap rounded-md text-sm font-medium transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:pointer-events-none disabled:opacity-50",
-  {
-    variants: {
-      variant: {
-        default:
-          "bg-primary text-primary-foreground shadow hover:bg-primary/90",
-        destructive:
-          "bg-destructive text-destructive-foreground shadow-sm hover:bg-destructive/90",
-        outline:
-          "border border-input bg-background shadow-sm hover:bg-accent hover:text-accent-foreground",
-        secondary:
-          "bg-secondary text-secondary-foreground shadow-sm hover:bg-secondary/80",
-        ghost: "hover:bg-accent hover:text-accent-foreground",
-        link: "text-primary underline-offset-4 hover:underline",
-      },
-      size: {
-        default: "h-9 px-4 py-2",
-        sm: "h-8 rounded-md px-3 text-xs",
-        lg: "h-10 rounded-md px-8",
-        icon: "h-9 w-9",
-      },
-    },
-    defaultVariants: {
-      variant: "default",
-      size: "default",
-    },
-  }
-);
-
-export interface ButtonProps
-  extends React.ButtonHTMLAttributes<HTMLButtonElement>,
-    VariantProps<typeof buttonVariants> {
-  asChild?: boolean;
-}
-
-const Button = React.forwardRef<HTMLButtonElement, ButtonProps>(
-  ({ className, variant, size, asChild = false, ...props }, ref) => {
-    const Comp = asChild ? Slot : "button";
-    return (
-      <Comp
-        className={cn(buttonVariants({ variant, size, className }))}
-        ref={ref}
-        {...props}
-      />
-    );
-  }
-);
-Button.displayName = "Button";
-
-export { Button, buttonVariants };

frontend/common/src/components/ui/card.tsx

@@ -1,76 +0,0 @@
-import * as React from "react";
-
-import { cn } from "../../utils";
-
-const Card = React.forwardRef<
-  HTMLDivElement,
-  React.HTMLAttributes<HTMLDivElement>
->(({ className, ...props }, ref) => (
-  <div
-    ref={ref}
-    className={cn(
-      "rounded-xl border bg-card text-card-foreground shadow",
-      className
-    )}
-    {...props}
-  />
-));
-Card.displayName = "Card";
-
-const CardHeader = React.forwardRef<
-  HTMLDivElement,
-  React.HTMLAttributes<HTMLDivElement>
->(({ className, ...props }, ref) => (
-  <div
-    ref={ref}
-    className={cn("flex flex-col space-y-1.5 p-6", className)}
-    {...props}
-  />
-));
-CardHeader.displayName = "CardHeader";
-
-const CardTitle = React.forwardRef<
-  HTMLParagraphElement,
-  React.HTMLAttributes<HTMLHeadingElement>
->(({ className, ...props }, ref) => (
-  <h3
-    ref={ref}
-    className={cn("font-semibold leading-none tracking-tight", className)}
-    {...props}
-  />
-));
-CardTitle.displayName = "CardTitle";
-
-const CardDescription = React.forwardRef<
-  HTMLParagraphElement,
-  React.HTMLAttributes<HTMLParagraphElement>
->(({ className, ...props }, ref) => (
-  <p
-    ref={ref}
-    className={cn("text-sm text-muted-foreground", className)}
-    {...props}
-  />
-));
-CardDescription.displayName = "CardDescription";
-
-const CardContent = React.forwardRef<
-  HTMLDivElement,
-  React.HTMLAttributes<HTMLDivElement>
->(({ className, ...props }, ref) => (
-  <div ref={ref} className={cn("p-6 pt-0", className)} {...props} />
-));
-CardContent.displayName = "CardContent";
-
-const CardFooter = React.forwardRef<
-  HTMLDivElement,
-  React.HTMLAttributes<HTMLDivElement>
->(({ className, ...props }, ref) => (
-  <div
-    ref={ref}
-    className={cn("flex items-center p-6 pt-0", className)}
-    {...props}
-  />
-));
-CardFooter.displayName = "CardFooter";
-
-export { Card, CardHeader, CardFooter, CardTitle, CardDescription, CardContent };

frontend/common/src/components/ui/collapsible.tsx

@@ -1,27 +0,0 @@
-import * as React from "react"
-import * as CollapsiblePrimitive from "@radix-ui/react-collapsible"
-
-import { cn } from "../../utils"
-
-const Collapsible = CollapsiblePrimitive.Root
-
-const CollapsibleTrigger = CollapsiblePrimitive.Trigger
-
-const CollapsibleContent = React.forwardRef<
-  React.ElementRef<typeof CollapsiblePrimitive.Content>,
-  React.ComponentPropsWithoutRef<typeof CollapsiblePrimitive.Content>
->(({ className, children, ...props }, ref) => (
-  <CollapsiblePrimitive.Content
-    ref={ref}
-    className={cn(
-      "overflow-hidden data-[state=closed]:animate-accordion-up data-[state=open]:animate-accordion-down",
-      className
-    )}
-    {...props}
-  >
-    {children}
-  </CollapsiblePrimitive.Content>
-))
-CollapsibleContent.displayName = "CollapsibleContent"
-
-export { Collapsible, CollapsibleTrigger, CollapsibleContent }

frontend/common/src/components/ui/floating-action-button.tsx

@@ -1,36 +0,0 @@
-import React, { ReactNode } from 'react';
-import { Button } from './button';
-
-export interface FloatingActionButtonProps {
-  icon: ReactNode;
-  onClick: () => void;
-  ariaLabel?: string;
-  className?: string;
-  variant?: 'default' | 'destructive' | 'outline' | 'secondary' | 'ghost' | 'link';
-}
-
-/**
- * FloatingActionButton component
- * 
- * A button typically used for primary actions on mobile layouts
- * Designed to be used with the Layout component's floatingAction prop
- */
-export const FloatingActionButton: React.FC<FloatingActionButtonProps> = ({
-  icon,
-  onClick,
-  ariaLabel = 'Action button',
-  className = '',
-  variant = 'default'
-}) => {
-  return (
-    <Button
-      variant={variant}
-      size="icon"
-      onClick={onClick}
-      aria-label={ariaLabel}
-      className={`h-14 w-14 rounded-full shadow-xl bg-blue-600 hover:bg-blue-700 text-white flex items-center justify-center border-2 border-white dark:border-gray-800 ${className}`}
-    >
-      {icon}
-    </Button>
-  );
-};

frontend/common/src/components/ui/index.ts

@@ -1,9 +0,0 @@
-export * from './button';
-export * from './card';
-export * from './collapsible';
-export * from './floating-action-button';
-export * from './input';
-export * from './layout';
-export * from './sheet';
-export * from './switch';
-export * from './scroll-area';

frontend/common/src/components/ui/input.tsx

@@ -1,25 +0,0 @@
-import * as React from "react";
-
-import { cn } from "../../utils";
-
-export interface InputProps
-  extends React.InputHTMLAttributes<HTMLInputElement> {}
-
-const Input = React.forwardRef<HTMLInputElement, InputProps>(
-  ({ className, type, ...props }, ref) => {
-    return (
-      <input
-        type={type}
-        className={cn(
-          "flex h-9 w-full rounded-md border border-input bg-background px-3 py-1 text-sm shadow-sm transition-colors file:border-0 file:bg-transparent file:text-sm file:font-medium placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:cursor-not-allowed disabled:opacity-50",
-          className
-        )}
-        ref={ref}
-        {...props}
-      />
-    );
-  }
-);
-Input.displayName = "Input";
-
-export { Input };

frontend/common/src/components/ui/layout.tsx

@@ -1,56 +0,0 @@
-import React from 'react';
-
-/**
- * Layout component using Tailwind Grid utilities
- * This component creates a responsive layout with:
- * - Sticky header at the top (z-index 30)
- * - Sidebar on desktop (hidden on mobile)
- * - Main content area with proper positioning
- * - Optional floating action button for mobile navigation
- */
-export interface LayoutProps {
-  header: React.ReactNode;
-  sidebar?: React.ReactNode;
-  drawer?: React.ReactNode;
-  children: React.ReactNode;
-  floatingAction?: React.ReactNode;
-}
-
-export const Layout: React.FC<LayoutProps> = ({ 
-  header, 
-  sidebar, 
-  drawer, 
-  children,
-  floatingAction
-}) => {
-  return (
-    <div className="grid min-h-screen grid-cols-1 grid-rows-[64px_1fr] md:grid-cols-[280px_1fr] lg:grid-cols-[320px_1fr] xl:grid-cols-[350px_1fr] bg-background text-foreground relative">
-      {/* Header - always visible, spans full width */}
-      <header className="sticky top-0 z-30 h-16 flex items-center bg-background border-b border-border col-span-full">
-        {header}
-      </header>
-      
-      {/* Sidebar - hidden on mobile, visible on tablet/desktop */}
-      {sidebar && (
-        <aside className="hidden md:block fixed top-16 bottom-0 w-[280px] lg:w-[320px] xl:w-[350px] overflow-y-auto z-20 bg-background border-r border-border">
-          {sidebar}
-        </aside>
-      )}
-      
-      {/* Main content area */}
-      <main className="overflow-y-auto p-4 row-start-2 col-start-1 md:col-start-2 md:h-[calc(100vh-64px)]">
-        {children}
-      </main>
-      
-      {/* Mobile drawer - rendered outside grid */}
-      {drawer}
-
-      {/* Floating action button for mobile */}
-      {floatingAction && (
-        <div className="fixed bottom-6 right-6 z-50 md:hidden">
-          {floatingAction}
-        </div>
-      )}
-    </div>
-  );
-};

frontend/common/src/components/ui/scroll-area.tsx

@@ -1,47 +0,0 @@
-import * as React from "react"
-import * as ScrollAreaPrimitive from "@radix-ui/react-scroll-area"
-
-import { cn } from "../../utils"
-
-const ScrollArea = React.forwardRef<
-  React.ElementRef<typeof ScrollAreaPrimitive.Root>,
-  React.ComponentPropsWithoutRef<typeof ScrollAreaPrimitive.Root>
->(({ className, children, ...props }, ref) => (
-  <ScrollAreaPrimitive.Root
-    ref={ref}
-    className={cn("relative overflow-hidden", className)}
-    {...props}
-  >
-    <ScrollAreaPrimitive.Viewport className="h-full w-full rounded-[inherit]">
-      {children}
-    </ScrollAreaPrimitive.Viewport>
-    <ScrollBar />
-    <ScrollBar orientation="horizontal" />
-    <ScrollAreaPrimitive.Corner />
-  </ScrollAreaPrimitive.Root>
-))
-ScrollArea.displayName = ScrollAreaPrimitive.Root.displayName
-
-const ScrollBar = React.forwardRef<
-  React.ElementRef<typeof ScrollAreaPrimitive.ScrollAreaScrollbar>,
-  React.ComponentPropsWithoutRef<typeof ScrollAreaPrimitive.ScrollAreaScrollbar>
->(({ className, orientation = "vertical", ...props }, ref) => (
-  <ScrollAreaPrimitive.ScrollAreaScrollbar
-    ref={ref}
-    orientation={orientation}
-    className={cn(
-      "flex touch-none select-none transition-colors",
-      orientation === "vertical" &&
-        "h-full w-2.5 border-l border-l-transparent p-[1px]",
-      orientation === "horizontal" &&
-        "h-2.5 border-t border-t-transparent p-[1px]",
-      className
-    )}
-    {...props}
-  >
-    <ScrollAreaPrimitive.ScrollAreaThumb className="relative flex-1 rounded-full bg-border" />
-  </ScrollAreaPrimitive.ScrollAreaScrollbar>
-))
-ScrollBar.displayName = ScrollAreaPrimitive.ScrollAreaScrollbar.displayName
-
-export { ScrollArea, ScrollBar }

frontend/common/src/components/ui/sheet.tsx

@@ -1,134 +0,0 @@
-import * as React from "react"
-import * as SheetPrimitive from "@radix-ui/react-dialog"
-import { cva, type VariantProps } from "class-variance-authority"
-import { X } from "lucide-react"
-
-import { cn } from "../../utils"
-
-const Sheet = SheetPrimitive.Root
-
-const SheetTrigger = SheetPrimitive.Trigger
-
-const SheetClose = SheetPrimitive.Close
-
-const SheetPortal = SheetPrimitive.Portal
-
-const SheetOverlay = React.forwardRef<
-  React.ElementRef<typeof SheetPrimitive.Overlay>,
-  React.ComponentPropsWithoutRef<typeof SheetPrimitive.Overlay>
->(({ className, ...props }, ref) => (
-  <SheetPrimitive.Overlay
-    className={cn(
-      "fixed inset-0 z-70 bg-background/80 backdrop-blur-sm data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0",
-      className
-    )}
-    {...props}
-    ref={ref}
-  />
-))
-SheetOverlay.displayName = SheetPrimitive.Overlay.displayName
-
-const sheetVariants = cva(
-  "fixed z-70 gap-4 bg-background p-6 shadow-lg transition ease-in-out data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:duration-300 data-[state=open]:duration-500",
-  {
-    variants: {
-      side: {
-        top: "inset-x-0 top-0 border-b data-[state=closed]:slide-out-to-top data-[state=open]:slide-in-from-top",
-        right: "inset-y-0 right-0 h-full w-3/4 border-l data-[state=closed]:slide-out-to-right data-[state=open]:slide-in-from-right sm:max-w-sm",
-        bottom: "inset-x-0 bottom-0 border-t data-[state=closed]:slide-out-to-bottom data-[state=open]:slide-in-from-bottom",
-        left: "inset-y-0 left-0 h-full w-full border-r data-[state=closed]:slide-out-to-left data-[state=open]:slide-in-from-left sm:max-w-sm",
-      },
-    },
-    defaultVariants: {
-      side: "right",
-    },
-  }
-)
-
-interface SheetContentProps
-  extends React.ComponentPropsWithoutRef<typeof SheetPrimitive.Content>,
-    VariantProps<typeof sheetVariants> {}
-
-const SheetContent = React.forwardRef<
-  React.ElementRef<typeof SheetPrimitive.Content>,
-  SheetContentProps
->(({ side = "right", className, children, ...props }, ref) => (
-  <SheetPortal>
-    <SheetOverlay />
-    <SheetPrimitive.Content
-      ref={ref}
-      className={cn(sheetVariants({ side }), className)}
-      {...props}
-    >
-      {children}
-      <SheetPrimitive.Close className="absolute right-4 top-4 rounded-sm opacity-70 ring-offset-background transition-opacity hover:opacity-100 focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:pointer-events-none data-[state=open]:bg-secondary">
-        <X className="h-4 w-4" />
-        <span className="sr-only">Close</span>
-      </SheetPrimitive.Close>
-    </SheetPrimitive.Content>
-  </SheetPortal>
-))
-SheetContent.displayName = SheetPrimitive.Content.displayName
-
-const SheetHeader = ({
-  className,
-  ...props
-}: React.HTMLAttributes<HTMLDivElement>) => (
-  <div
-    className={cn(
-      "flex flex-col space-y-2 text-center sm:text-left",
-      className
-    )}
-    {...props}
-  />
-)
-SheetHeader.displayName = "SheetHeader"
-
-const SheetFooter = ({
-  className,
-  ...props
-}: React.HTMLAttributes<HTMLDivElement>) => (
-  <div
-    className={cn(
-      "flex flex-col-reverse sm:flex-row sm:justify-end sm:space-x-2",
-      className
-    )}
-    {...props}
-  />
-)
-SheetFooter.displayName = "SheetFooter"
-
-const SheetTitle = React.forwardRef<
-  React.ElementRef<typeof SheetPrimitive.Title>,
-  React.ComponentPropsWithoutRef<typeof SheetPrimitive.Title>
->(({ className, ...props }, ref) => (
-  <SheetPrimitive.Title
-    ref={ref}
-    className={cn("text-lg font-semibold text-foreground", className)}
-    {...props}
-  />
-))
-SheetTitle.displayName = SheetPrimitive.Title.displayName
-
-const SheetDescription = React.forwardRef<
-  React.ElementRef<typeof SheetPrimitive.Description>,
-  React.ComponentPropsWithoutRef<typeof SheetPrimitive.Description>
->(({ className, ...props }, ref) => (
-  <SheetPrimitive.Description
-    ref={ref}
-    className={cn("text-sm text-muted-foreground", className)}
-    {...props}
-  />
-))
-SheetDescription.displayName = SheetPrimitive.Description.displayName
-
-export {
-  Sheet,
-  SheetTrigger,
-  SheetClose,
-  SheetContent,
-  SheetHeader,
-  SheetFooter,
-  SheetTitle,
-  SheetDescription,
-}

frontend/common/src/components/ui/switch.tsx

@@ -1,27 +0,0 @@
-import * as React from "react";
-import * as SwitchPrimitives from "@radix-ui/react-switch";
-
-import { cn } from "../../utils";
-
-const Switch = React.forwardRef<
-  React.ElementRef<typeof SwitchPrimitives.Root>,
-  React.ComponentPropsWithoutRef<typeof SwitchPrimitives.Root>
->(({ className, ...props }, ref) => (
-  <SwitchPrimitives.Root
-    className={cn(
-      "peer inline-flex h-5 w-9 shrink-0 cursor-pointer items-center rounded-full border-2 border-transparent shadow-sm transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 focus-visible:ring-offset-background disabled:cursor-not-allowed disabled:opacity-50 data-[state=checked]:bg-primary data-[state=unchecked]:bg-input",
-      className
-    )}
-    {...props}
-    ref={ref}
-  >
-    <SwitchPrimitives.Thumb
-      className={cn(
-        "pointer-events-none block h-4 w-4 rounded-full bg-background shadow-lg ring-0 transition-transform data-[state=checked]:translate-x-4 data-[state=unchecked]:translate-x-0"
-      )}
-    />
-  </SwitchPrimitives.Root>
-));
-Switch.displayName = SwitchPrimitives.Root.displayName;
-
-export { Switch };

frontend/common/src/index.ts

@@ -1,33 +0,0 @@
-// Entry point for @ra-aid/common package
-import './styles/global.css';
-
-// Export types first to avoid circular references
-export * from './utils/types';
-
-// Export utility functions
-export * from './utils';
-
-// Export UI components
-export * from './components/ui';
-
-// Export timeline components
-export * from './components/TimelineStep';
-export * from './components/TimelineFeed';
-
-// Export session navigation components
-export * from './components/SessionDrawer';
-export * from './components/SessionSidebar';
-
-// Export main screens
-export * from './components/DefaultAgentScreen';
-
-// Export the hello function (temporary example)
-export const hello = (): void => {
-  console.log("Hello from @ra-aid/common");
-};
-
-// Directly export sample data functions
-export { 
-  getSampleAgentSteps, 
-  getSampleAgentSessions
-} from './utils/sample-data';

frontend/common/src/styles/global.css

@@ -1,80 +0,0 @@
-@tailwind base;
-@tailwind components;
-@tailwind utilities;
-
-@layer base {
-  :root {
-    --background: 0 0% 100%;
-    --foreground: 222.2 47.4% 11.2%;
-
-    --muted: 210 40% 96.1%;
-    --muted-foreground: 215.4 16.3% 46.9%;
-
-    --popover: 0 0% 100%;
-    --popover-foreground: 222.2 47.4% 11.2%;
-
-    --card: 0 0% 100%;
-    --card-foreground: 222.2 47.4% 11.2%;
-
-    --border: 214.3 31.8% 91.4%;
-    --input: 214.3 31.8% 91.4%;
-
-    --primary: 222.2 47.4% 11.2%;
-    --primary-foreground: 210 40% 98%;
-
-    --secondary: 210 40% 96.1%;
-    --secondary-foreground: 222.2 47.4% 11.2%;
-
-    --accent: 210 40% 96.1%;
-    --accent-foreground: 222.2 47.4% 11.2%;
-
-    --destructive: 0 100% 50%;
-    --destructive-foreground: 210 40% 98%;
-
-    --ring: 215 20.2% 65.1%;
-
-    --radius: 0.5rem;
-  }
-
-  .dark {
-    --background: 240 10% 3.9%;      /* zinc-950 */
-    --foreground: 240 5% 96%;        /* zinc-50 */
-    
-    --card: 240 10% 3.9%;            /* zinc-950 */
-    --card-foreground: 240 5% 96%;   /* zinc-50 */
-    
-    --popover: 240 10% 3.9%;         /* zinc-950 */
-    --popover-foreground: 240 5% 96%; /* zinc-50 */
-    
-    --primary: 240 5% 96%;           /* zinc-50 */
-    --primary-foreground: 240 6% 10%; /* zinc-900 */
-    
-    --secondary: 240 4% 16%;         /* zinc-800 */
-    --secondary-foreground: 240 5% 96%; /* zinc-50 */
-    
-    --muted: 240 4% 16%;             /* zinc-800 */
-    --muted-foreground: 240 5% 65%;  /* zinc-400 */
-    
-    --accent: 240 4% 16%;            /* zinc-800 */
-    --accent-foreground: 240 5% 96%; /* zinc-50 */
-    
-    --destructive: 0 63% 31%;        /* red-900 */
-    --destructive-foreground: 240 5% 96%; /* zinc-50 */
-    
-    --border: 240 4% 16%;            /* zinc-800 */
-    --input: 240 4% 16%;             /* zinc-800 */
-    --ring: 240 5% 84%;              /* zinc-300 */
-
-    --radius: 0.5rem;
-  }
-}
-
-@layer base {
-  * {
-    @apply border-border;
-  }
-  body {
-    @apply bg-background text-foreground;
-    font-feature-settings: "rlig" 1, "calt" 1;
-  }
-}

frontend/common/src/types/image.d.ts

@@ -1,24 +0,0 @@
-declare module '*.png' {
-  const content: string;
-  export default content;
-}
-
-declare module '*.gif' {
-  const content: string;
-  export default content;
-}
-
-declare module '*.jpg' {
-  const content: string;
-  export default content;
-}
-
-declare module '*.jpeg' {
-  const content: string;
-  export default content;
-}
-
-declare module '*.svg' {
-  const content: string;
-  export default content;
-}

frontend/common/src/utils.ts

@@ -1,13 +0,0 @@
-import { clsx, type ClassValue } from "clsx";
-import { twMerge } from "tailwind-merge";
-
-/**
- * Merges class names with Tailwind CSS classes
- * Combines clsx for conditional logic and tailwind-merge for handling conflicting tailwind classes
- */
-export function cn(...inputs: ClassValue[]) {
-  return twMerge(clsx(inputs));
-}
-
-// Re-export everything from utils directory
-export * from './utils';

frontend/common/src/utils/index.ts

@@ -1,13 +0,0 @@
-import { clsx, type ClassValue } from "clsx";
-import { twMerge } from "tailwind-merge";
-
-/**
- * Merges class names with Tailwind CSS classes
- * Combines clsx for conditional logic and tailwind-merge for handling conflicting tailwind classes
- */
-export function cn(...inputs: ClassValue[]) {
-  return twMerge(clsx(inputs));
-}
-
-// Note: Sample data functions and types are now exported directly from the root index.ts
-// to avoid circular references

frontend/common/src/utils/sample-data.ts

@@ -1,164 +0,0 @@
-/**
- * Sample data utility for agent UI components demonstration
- */
-
-import { AgentStep, AgentSession } from './types';
-
-/**
- * Returns an array of sample agent steps
- */
-export function getSampleAgentSteps(): AgentStep[] {
-  return [
-    {
-      id: "step-1",
-      timestamp: new Date(Date.now() - 30 * 60000), // 30 minutes ago
-      status: 'completed',
-      type: 'planning',
-      title: 'Initial Planning',
-      content: 'I need to analyze the codebase structure to understand the existing components and their relationships.',
-      duration: 5200
-    },
-    {
-      id: "step-2",
-      timestamp: new Date(Date.now() - 25 * 60000), // 25 minutes ago
-      status: 'completed',
-      type: 'tool-execution',
-      title: 'List Directory Structure',
-      content: 'Executing: list_directory_tree(path="src/", max_depth=2)\n\n📁 /project/src/\n├── 📁 components/\n│   ├── 📁 ui/\n│   └── App.tsx\n├── 📁 utils/\n└── index.tsx',
-      duration: 1800
-    },
-    {
-      id: "step-3",
-      timestamp: new Date(Date.now() - 20 * 60000), // 20 minutes ago
-      status: 'completed',
-      type: 'thinking',
-      title: 'Component Analysis',
-      content: 'Based on the directory structure, I see that the UI components are organized in a dedicated folder. I should examine the existing component patterns before implementing new ones.',
-      duration: 3500
-    },
-    {
-      id: "step-4",
-      timestamp: new Date(Date.now() - 15 * 60000), // 15 minutes ago
-      status: 'completed',
-      type: 'tool-execution',
-      title: 'Read Component Code',
-      content: 'Executing: read_file_tool(filepath="src/components/ui/Button.tsx")\n\n```tsx\nimport { cn } from "../../utils";\n\nexport interface ButtonProps {\n  // Component props...\n}\n\nexport function Button({ children, ...props }: ButtonProps) {\n  // Component implementation...\n}\n```',
-      duration: 2100
-    },
-    {
-      id: "step-5",
-      timestamp: new Date(Date.now() - 10 * 60000), // 10 minutes ago
-      status: 'completed',
-      type: 'implementation',
-      title: 'Creating NavBar Component',
-      content: 'I\'m creating a NavBar component following the design system patterns:\n\n```tsx\nimport { cn } from "../../utils";\n\nexport interface NavBarProps {\n  // New component props...\n}\n\nexport function NavBar({ ...props }: NavBarProps) {\n  // New component implementation...\n}\n```',
-      duration: 6800
-    },
-    {
-      id: "step-6",
-      timestamp: new Date(Date.now() - 5 * 60000), // 5 minutes ago
-      status: 'in-progress',
-      type: 'implementation',
-      title: 'Styling Timeline Component',
-      content: 'Currently working on styling the Timeline component to match the design system:\n\n```tsx\n// Work in progress...\nexport function Timeline({ steps, ...props }: TimelineProps) {\n  // Current implementation...\n}\n```',
-    },
-    {
-      id: "step-7",
-      timestamp: new Date(Date.now() - 2 * 60000), // 2 minutes ago
-      status: 'error',
-      type: 'tool-execution',
-      title: 'Running Tests',
-      content: 'Error executing: run_shell_command(command="npm test")\n\nTest failed: TypeError: Cannot read property \'steps\' of undefined',
-      duration: 3200
-    },
-    {
-      id: "step-8",
-      timestamp: new Date(), // Now
-      status: 'pending',
-      type: 'planning',
-      title: 'Next Steps',
-      content: 'Need to plan the implementation of the SessionDrawer component...',
-    }
-  ];
-}
-
-/**
- * Returns an array of sample agent sessions
- */
-export function getSampleAgentSessions(): AgentSession[] {
-  const steps = getSampleAgentSteps();
-  
-  return [
-    {
-      id: "session-1",
-      name: "UI Component Implementation",
-      created: new Date(Date.now() - 35 * 60000), // 35 minutes ago
-      updated: new Date(), // Now
-      status: 'active',
-      steps: steps
-    },
-    {
-      id: "session-2",
-      name: "API Integration",
-      created: new Date(Date.now() - 2 * 3600000), // 2 hours ago
-      updated: new Date(Date.now() - 30 * 60000), // 30 minutes ago
-      status: 'completed',
-      steps: [
-        {
-          id: "other-step-1",
-          timestamp: new Date(Date.now() - 2 * 3600000), // 2 hours ago
-          status: 'completed',
-          type: 'planning',
-          title: 'API Integration Planning',
-          content: 'Planning the integration with the backend API...',
-          duration: 4500
-        },
-        {
-          id: "other-step-2",
-          timestamp: new Date(Date.now() - 1.5 * 3600000), // 1.5 hours ago
-          status: 'completed',
-          type: 'implementation',
-          title: 'Implementing API Client',
-          content: 'Creating API client with fetch utilities...',
-          duration: 7200
-        },
-        {
-          id: "other-step-3",
-          timestamp: new Date(Date.now() - 1 * 3600000), // 1 hour ago
-          status: 'completed',
-          type: 'tool-execution',
-          title: 'Testing API Endpoints',
-          content: 'Running tests against API endpoints...',
-          duration: 5000
-        }
-      ]
-    },
-    {
-      id: "session-3",
-      name: "Bug Fixes",
-      created: new Date(Date.now() - 5 * 3600000), // 5 hours ago
-      updated: new Date(Date.now() - 4 * 3600000), // 4 hours ago
-      status: 'error',
-      steps: [
-        {
-          id: "bug-step-1",
-          timestamp: new Date(Date.now() - 5 * 3600000), // 5 hours ago
-          status: 'completed',
-          type: 'planning',
-          title: 'Bug Analysis',
-          content: 'Analyzing reported bugs from issue tracker...',
-          duration: 3600
-        },
-        {
-          id: "bug-step-2",
-          timestamp: new Date(Date.now() - 4.5 * 3600000), // 4.5 hours ago
-          status: 'error',
-          type: 'implementation',
-          title: 'Fixing Authentication Bug',
-          content: 'Error: Unable to resolve dependency conflict with auth package',
-          duration: 2500
-        }
-      ]
-    }
-  ];
-}

frontend/common/src/utils/types.ts

@@ -1,28 +0,0 @@
-/**
- * Common types for agent UI components
- */
-
-/**
- * Represents a single step in the agent process
- */
-export interface AgentStep {
-  id: string;
-  timestamp: Date;
-  status: 'completed' | 'in-progress' | 'error' | 'pending';
-  type: 'tool-execution' | 'thinking' | 'planning' | 'implementation' | 'user-input';
-  title: string;
-  content: string;
-  duration?: number; // in milliseconds
-}
-
-/**
- * Represents a session with multiple steps
- */
-export interface AgentSession {
-  id: string;
-  name: string;
-  created: Date;
-  updated: Date;
-  status: 'active' | 'completed' | 'error';
-  steps: AgentStep[];
-}

frontend/common/tailwind.config.js

@@ -1,18 +0,0 @@
-/** @type {import('tailwindcss').Config} */
-module.exports = {
-  presets: [require('./tailwind.preset')],
-  content: [
-    './src/**/*.{js,jsx,ts,tsx}',
-  ],
-  safelist: [
-    'dark',
-    {
-      pattern: /^dark:/,
-      variants: ['hover', 'focus', 'active']
-    }
-  ],
-  theme: {
-    extend: {},
-  },
-  plugins: [],
-}

frontend/common/tailwind.preset.js

@@ -1,70 +0,0 @@
-/** @type {import('tailwindcss').Config} */
-module.exports = {
-  darkMode: ["class"],
-  theme: {
-    container: {
-      center: true,
-      padding: "2rem",
-      screens: {
-        "2xl": "1400px",
-      },
-    },
-    extend: {
-      colors: {
-        border: "hsl(var(--border))",
-        input: "hsl(var(--input))",
-        ring: "hsl(var(--ring))",
-        background: "hsl(var(--background))",
-        foreground: "hsl(var(--foreground))",
-        primary: {
-          DEFAULT: "hsl(var(--primary))",
-          foreground: "hsl(var(--primary-foreground))",
-        },
-        secondary: {
-          DEFAULT: "hsl(var(--secondary))",
-          foreground: "hsl(var(--secondary-foreground))",
-        },
-        destructive: {
-          DEFAULT: "hsl(var(--destructive))",
-          foreground: "hsl(var(--destructive-foreground))",
-        },
-        muted: {
-          DEFAULT: "hsl(var(--muted))",
-          foreground: "hsl(var(--muted-foreground))",
-        },
-        accent: {
-          DEFAULT: "hsl(var(--accent))",
-          foreground: "hsl(var(--accent-foreground))",
-        },
-        popover: {
-          DEFAULT: "hsl(var(--popover))",
-          foreground: "hsl(var(--popover-foreground))",
-        },
-        card: {
-          DEFAULT: "hsl(var(--card))",
-          foreground: "hsl(var(--card-foreground))",
-        },
-      },
-      borderRadius: {
-        lg: "var(--radius)",
-        md: "calc(var(--radius) - 2px)",
-        sm: "calc(var(--radius) - 4px)",
-      },
-      keyframes: {
-        "accordion-down": {
-          from: { height: "0" },
-          to: { height: "var(--radix-accordion-content-height)" },
-        },
-        "accordion-up": {
-          from: { height: "var(--radix-accordion-content-height)" },
-          to: { height: "0" },
-        },
-      },
-      animation: {
-        "accordion-down": "accordion-down 0.2s ease-out",
-        "accordion-up": "accordion-up 0.2s ease-out",
-      },
-    },
-  },
-  plugins: [require("tailwindcss-animate")],
-}

frontend/common/tsconfig.json

@@ -1,17 +0,0 @@
-{
-  "compilerOptions": {
-    "target": "ES6",
-    "module": "ESNext",
-    "moduleResolution": "node",
-    "declaration": true,
-    "jsx": "react",
-    "strict": true,
-    "esModuleInterop": true,
-    "skipLibCheck": true,
-    "forceConsistentCasingInFileNames": true,
-    "outDir": "dist",
-    "rootDir": "src",
-    "lib": ["DOM", "DOM.Iterable", "ESNext", "ES2016"]
-  },
-  "include": ["src"]
-}

frontend/package.json

@@ -1,13 +0,0 @@
-{
-  "name": "frontend-monorepo",
-  "private": true,
-  "workspaces": [
-    "common",
-    "web",
-    "vsc"
-  ],
-  "scripts": {
-    "install-all": "npm install",
-    "dev:web": "npm --workspace @ra-aid/web run dev"
-  }
-}

frontend/vsc/.vscode-test.mjs

@@ -1,5 +0,0 @@
-import { defineConfig } from '@vscode/test-cli';
-
-export default defineConfig({
-	files: 'out/test/**/*.test.js',
-});

frontend/vsc/.vscode/extensions.json

@@ -1,5 +0,0 @@
-{
-  // See http://go.microsoft.com/fwlink/?LinkId=827846
-  // for the documentation about the extensions.json format
-  "recommendations": ["dbaeumer.vscode-eslint", "connor4312.esbuild-problem-matchers", "ms-vscode.extension-test-runner"]
-}

frontend/vsc/.vscode/launch.json

@@ -1,21 +0,0 @@
-// A launch configuration that compiles the extension and then opens it inside a new window
-// Use IntelliSense to learn about possible attributes.
-// Hover to view descriptions of existing attributes.
-// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
-{
-	"version": "0.2.0",
-	"configurations": [
-		{
-			"name": "Run Extension",
-			"type": "extensionHost",
-			"request": "launch",
-			"args": [
-				"--extensionDevelopmentPath=${workspaceFolder}"
-			],
-			"outFiles": [
-				"${workspaceFolder}/dist/**/*.js"
-			],
-			"preLaunchTask": "${defaultBuildTask}"
-		}
-	]
-}

frontend/vsc/.vscode/settings.json

@@ -1,13 +0,0 @@
-// Place your settings in this file to overwrite default and user settings.
-{
-    "files.exclude": {
-        "out": false, // set this to true to hide the "out" folder with the compiled JS files
-        "dist": false // set this to true to hide the "dist" folder with the compiled JS files
-    },
-    "search.exclude": {
-        "out": true, // set this to false to include "out" folder in search results
-        "dist": true // set this to false to include "dist" folder in search results
-    },
-    // Turn off tsc task auto detection since we have the necessary tasks as npm scripts
-    "typescript.tsc.autoDetect": "off"
-}

frontend/vsc/.vscode/tasks.json

@@ -1,64 +0,0 @@
-// See https://go.microsoft.com/fwlink/?LinkId=733558
-// for the documentation about the tasks.json format
-{
-	"version": "2.0.0",
-	"tasks": [
-		{
-            "label": "watch",
-            "dependsOn": [
-                "npm: watch:tsc",
-                "npm: watch:esbuild"
-            ],
-            "presentation": {
-                "reveal": "never"
-            },
-            "group": {
-                "kind": "build",
-                "isDefault": true
-            }
-        },
-        {
-            "type": "npm",
-            "script": "watch:esbuild",
-            "group": "build",
-            "problemMatcher": "$esbuild-watch",
-            "isBackground": true,
-            "label": "npm: watch:esbuild",
-            "presentation": {
-                "group": "watch",
-                "reveal": "never"
-            }
-        },
-		{
-            "type": "npm",
-            "script": "watch:tsc",
-            "group": "build",
-            "problemMatcher": "$tsc-watch",
-            "isBackground": true,
-            "label": "npm: watch:tsc",
-            "presentation": {
-                "group": "watch",
-                "reveal": "never"
-            }
-        },
-		{
-			"type": "npm",
-			"script": "watch-tests",
-			"problemMatcher": "$tsc-watch",
-			"isBackground": true,
-			"presentation": {
-				"reveal": "never",
-				"group": "watchers"
-			},
-			"group": "build"
-		},
-		{
-			"label": "tasks: watch-tests",
-			"dependsOn": [
-				"npm: watch",
-				"npm: watch-tests"
-			],
-			"problemMatcher": []
-		}
-	]
-}

frontend/vsc/.vscodeignore

@@ -1,14 +0,0 @@
-.vscode/**
-.vscode-test/**
-out/**
-node_modules/**
-src/**
-.gitignore
-.yarnrc
-esbuild.js
-vsc-extension-quickstart.md
-**/tsconfig.json
-**/eslint.config.mjs
-**/*.map
-**/*.ts
-**/.vscode-test.*

frontend/vsc/CHANGELOG.md

@@ -1,9 +0,0 @@
-# Change Log
-
-All notable changes to the "ra-aid" extension will be documented in this file.
-
-Check [Keep a Changelog](http://keepachangelog.com/) for recommendations on how to structure this file.
-
-## [Unreleased]
-
-- Initial release

frontend/vsc/README.md

@@ -1,71 +0,0 @@
-# ra-aid README
-
-This is the README for your extension "ra-aid". After writing up a brief description, we recommend including the following sections.
-
-## Features
-
-Describe specific features of your extension including screenshots of your extension in action. Image paths are relative to this README file.
-
-For example if there is an image subfolder under your extension project workspace:
-
-\!\[feature X\]\(images/feature-x.png\)
-
-> Tip: Many popular extensions utilize animations. This is an excellent way to show off your extension! We recommend short, focused animations that are easy to follow.
-
-## Requirements
-
-If you have any requirements or dependencies, add a section describing those and how to install and configure them.
-
-## Extension Settings
-
-Include if your extension adds any VS Code settings through the `contributes.configuration` extension point.
-
-For example:
-
-This extension contributes the following settings:
-
-* `myExtension.enable`: Enable/disable this extension.
-* `myExtension.thing`: Set to `blah` to do something.
-
-## Known Issues
-
-Calling out known issues can help limit users opening duplicate issues against your extension.
-
-## Release Notes
-
-Users appreciate release notes as you update your extension.
-
-### 1.0.0
-
-Initial release of ...
-
-### 1.0.1
-
-Fixed issue #.
-
-### 1.1.0
-
-Added features X, Y, and Z.
-
----
-
-## Following extension guidelines
-
-Ensure that you've read through the extensions guidelines and follow the best practices for creating your extension.
-
-* [Extension Guidelines](https://code.visualstudio.com/api/references/extension-guidelines)
-
-## Working with Markdown
-
-You can author your README using Visual Studio Code. Here are some useful editor keyboard shortcuts:
-
-* Split the editor (`Cmd+\` on macOS or `Ctrl+\` on Windows and Linux).
-* Toggle preview (`Shift+Cmd+V` on macOS or `Shift+Ctrl+V` on Windows and Linux).
-* Press `Ctrl+Space` (Windows, Linux, macOS) to see a list of Markdown snippets.
-
-## For more information
-
-* [Visual Studio Code's Markdown Support](http://code.visualstudio.com/docs/languages/markdown)
-* [Markdown Syntax Reference](https://help.github.com/articles/markdown-basics/)
-
-**Enjoy!**

frontend/vsc/dist/extension.js

@@ -1,140 +0,0 @@
-"use strict";
-var __create = Object.create;
-var __defProp = Object.defineProperty;
-var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
-var __getOwnPropNames = Object.getOwnPropertyNames;
-var __getProtoOf = Object.getPrototypeOf;
-var __hasOwnProp = Object.prototype.hasOwnProperty;
-var __export = (target, all) => {
-  for (var name in all)
-    __defProp(target, name, { get: all[name], enumerable: true });
-};
-var __copyProps = (to, from, except, desc) => {
-  if (from && typeof from === "object" || typeof from === "function") {
-    for (let key of __getOwnPropNames(from))
-      if (!__hasOwnProp.call(to, key) && key !== except)
-        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });
-  }
-  return to;
-};
-var __toESM = (mod, isNodeMode, target) => (target = mod != null ? __create(__getProtoOf(mod)) : {}, __copyProps(
-  // If the importer is in node compatibility mode or this is not an ESM
-  // file that has been converted to a CommonJS file using a Babel-
-  // compatible transform (i.e. "__esModule" has not been set), then set
-  // "default" to the CommonJS "module.exports" for node compatibility.
-  isNodeMode || !mod || !mod.__esModule ? __defProp(target, "default", { value: mod, enumerable: true }) : target,
-  mod
-));
-var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod);
-
-// src/extension.ts
-var extension_exports = {};
-__export(extension_exports, {
-  activate: () => activate,
-  deactivate: () => deactivate
-});
-module.exports = __toCommonJS(extension_exports);
-var vscode = __toESM(require("vscode"));
-var RAWebviewViewProvider = class {
-  constructor(_extensionUri) {
-    this._extensionUri = _extensionUri;
-  }
-  /**
-   * Called when a view is first created to initialize the webview
-   */
-  resolveWebviewView(webviewView, context, _token) {
-    webviewView.webview.options = {
-      // Enable JavaScript in the webview
-      enableScripts: true,
-      // Restrict the webview to only load resources from the extension's directory
-      localResourceRoots: [this._extensionUri]
-    };
-    webviewView.webview.html = this._getHtmlForWebview(webviewView.webview);
-  }
-  /**
-   * Creates HTML content for the webview with proper security policies
-   */
-  _getHtmlForWebview(webview) {
-    const logoUri = webview.asWebviewUri(vscode.Uri.joinPath(this._extensionUri, "assets", "RA.png"));
-    const nonce = getNonce();
-    return `<!DOCTYPE html>
-      <html lang="en">
-      <head>
-        <meta charset="UTF-8">
-        <meta http-equiv="Content-Security-Policy" content="default-src 'none'; img-src ${webview.cspSource} https:; style-src ${webview.cspSource} 'unsafe-inline'; script-src 'nonce-${nonce}';">
-        <meta name="viewport" content="width=device-width, initial-scale=1.0">
-        <title>RA.Aid</title>
-        <style>
-          body {
-            padding: 0;
-            color: var(--vscode-foreground);
-            font-size: var(--vscode-font-size);
-            font-weight: var(--vscode-font-weight);
-            font-family: var(--vscode-font-family);
-            background-color: var(--vscode-editor-background);
-          }
-          .container {
-            display: flex;
-            flex-direction: column;
-            align-items: center;
-            justify-content: center;
-            padding: 20px;
-            text-align: center;
-          }
-          .logo {
-            width: 100px;
-            height: 100px;
-            margin-bottom: 20px;
-          }
-          h1 {
-            color: var(--vscode-editor-foreground);
-            font-size: 1.3em;
-            margin-bottom: 15px;
-          }
-          p {
-            color: var(--vscode-foreground);
-            margin-bottom: 10px;
-          }
-        </style>
-      </head>
-      <body>
-        <div class="container">
-          <img src="${logoUri}" alt="RA.Aid Logo" class="logo">
-          <h1>RA.Aid</h1>
-          <p>Your research and development assistant.</p>
-          <p>More features coming soon!</p>
-        </div>
-      </body>
-      </html>`;
-  }
-};
-function getNonce() {
-  let text = "";
-  const possible = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789";
-  for (let i = 0; i < 32; i++) {
-    text += possible.charAt(Math.floor(Math.random() * possible.length));
-  }
-  return text;
-}
-function activate(context) {
-  console.log('Congratulations, your extension "ra-aid" is now active!');
-  const provider = new RAWebviewViewProvider(context.extensionUri);
-  const viewRegistration = vscode.window.registerWebviewViewProvider(
-    "ra-aid.view",
-    // Must match the view id in package.json
-    provider
-  );
-  context.subscriptions.push(viewRegistration);
-  const disposable = vscode.commands.registerCommand("ra-aid.helloWorld", () => {
-    vscode.window.showInformationMessage("Hello World from RA.Aid!");
-  });
-  context.subscriptions.push(disposable);
-}
-function deactivate() {
-}
-// Annotate the CommonJS export names for ESM import in node:
-0 && (module.exports = {
-  activate,
-  deactivate
-});
-//# sourceMappingURL=extension.js.map

frontend/vsc/dist/extension.js.map

@@ -1,6 +0,0 @@
-{
-  "version": 3,
-  "sources": ["../src/extension.ts"],
-  "mappings": ";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AACA,aAAwB;AAKxB,IAAM,wBAAN,MAAkE;AAAA,EAChE,YAA6B,eAA2B;AAA3B;AAAA,EAA4B;AAAA;AAAA;AAAA;AAAA,EAKlD,mBACL,aACA,SACA,QACA;AAEA,gBAAY,QAAQ,UAAU;AAAA;AAAA,MAE5B,eAAe;AAAA;AAAA,MAEf,oBAAoB,CAAC,KAAK,aAAa;AAAA,IACzC;AAGA,gBAAY,QAAQ,OAAO,KAAK,mBAAmB,YAAY,OAAO;AAAA,EACxE;AAAA;AAAA;AAAA;AAAA,EAKQ,mBAAmB,SAAiC;AAE1D,UAAM,UAAU,QAAQ,aAAoB,WAAI,SAAS,KAAK,eAAe,UAAU,QAAQ,CAAC;AAMhG,UAAM,QAAQ,SAAS;AAEvB,WAAO;AAAA;AAAA;AAAA;AAAA,0FAI+E,QAAQ,SAAS,sBAAsB,QAAQ,SAAS,uCAAuC,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,sBAsCxK,OAAO;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA,EAO3B;AACF;AAKA,SAAS,WAAW;AAClB,MAAI,OAAO;AACX,QAAM,WAAW;AACjB,WAAS,IAAI,GAAG,IAAI,IAAI,KAAK;AAC3B,YAAQ,SAAS,OAAO,KAAK,MAAM,KAAK,OAAO,IAAI,SAAS,MAAM,CAAC;AAAA,EACrE;AACA,SAAO;AACT;AAGO,SAAS,SAAS,SAAkC;AAEzD,UAAQ,IAAI,yDAAyD;AAGrE,QAAM,WAAW,IAAI,sBAAsB,QAAQ,YAAY;AAC/D,QAAM,mBAA0B,cAAO;AAAA,IACrC;AAAA;AAAA,IACA;AAAA,EACF;AACA,UAAQ,cAAc,KAAK,gBAAgB;AAK3C,QAAM,aAAoB,gBAAS,gBAAgB,qBAAqB,MAAM;AAG5E,IAAO,cAAO,uBAAuB,0BAA0B;AAAA,EACjE,CAAC;AAED,UAAQ,cAAc,KAAK,UAAU;AACvC;AAGO,SAAS,aAAa;AAAC;",
-  "names": []
-}

frontend/vsc/esbuild.js

@@ -1,56 +0,0 @@
-const esbuild = require("esbuild");
-
-const production = process.argv.includes('--production');
-const watch = process.argv.includes('--watch');
-
-/**
- * @type {import('esbuild').Plugin}
- */
-const esbuildProblemMatcherPlugin = {
-	name: 'esbuild-problem-matcher',
-
-	setup(build) {
-		build.onStart(() => {
-			console.log('[watch] build started');
-		});
-		build.onEnd((result) => {
-			result.errors.forEach(({ text, location }) => {
-				console.error(`✘ [ERROR] ${text}`);
-				console.error(`    ${location.file}:${location.line}:${location.column}:`);
-			});
-			console.log('[watch] build finished');
-		});
-	},
-};
-
-async function main() {
-	const ctx = await esbuild.context({
-		entryPoints: [
-			'src/extension.ts'
-		],
-		bundle: true,
-		format: 'cjs',
-		minify: production,
-		sourcemap: !production,
-		sourcesContent: false,
-		platform: 'node',
-		outfile: 'dist/extension.js',
-		external: ['vscode'],
-		logLevel: 'silent',
-		plugins: [
-			/* add to the end of plugins array */
-			esbuildProblemMatcherPlugin,
-		],
-	});
-	if (watch) {
-		await ctx.watch();
-	} else {
-		await ctx.rebuild();
-		await ctx.dispose();
-	}
-}
-
-main().catch(e => {
-	console.error(e);
-	process.exit(1);
-});

frontend/vsc/eslint.config.mjs

@@ -1,28 +0,0 @@
-import typescriptEslint from "@typescript-eslint/eslint-plugin";
-import tsParser from "@typescript-eslint/parser";
-
-export default [{
-    files: ["**/*.ts"],
-}, {
-    plugins: {
-        "@typescript-eslint": typescriptEslint,
-    },
-
-    languageOptions: {
-        parser: tsParser,
-        ecmaVersion: 2022,
-        sourceType: "module",
-    },
-
-    rules: {
-        "@typescript-eslint/naming-convention": ["warn", {
-            selector: "import",
-            format: ["camelCase", "PascalCase"],
-        }],
-
-        curly: "warn",
-        eqeqeq: "warn",
-        "no-throw-literal": "warn",
-        semi: "warn",
-    },
-}];

frontend/vsc/package.json

@@ -1,67 +0,0 @@
-{
-  "name": "ra-aid",
-  "displayName": "RA.Aid",
-  "description": "Develop software autonomously.",
-  "version": "0.0.1",
-  "engines": {
-    "vscode": "^1.98.0"
-  },
-  "categories": [
-    "Other"
-  ],
-  "activationEvents": [],
-  "main": "./dist/extension.js",
-  "contributes": {
-    "viewsContainers": {
-      "activitybar": [
-        {
-          "id": "ra-aid-view",
-          "title": "RA.Aid",
-          "icon": "assets/RA-white-transp.png"
-        }
-      ]
-    },
-    "views": {
-      "ra-aid-view": [
-        {
-          "type": "webview",
-          "id": "ra-aid.view",
-          "name": "RA.Aid"
-        }
-      ]
-    },
-    "commands": [
-      {
-        "command": "ra-aid.helloWorld",
-        "title": "Hello World"
-      }
-    ]
-  },
-  "scripts": {
-    "vscode:prepublish": "npm run package",
-    "compile": "npm run check-types && npm run lint && node esbuild.js",
-    "watch": "npm-run-all -p watch:*",
-    "watch:esbuild": "node esbuild.js --watch",
-    "watch:tsc": "tsc --noEmit --watch --project tsconfig.json",
-    "package": "npm run check-types && npm run lint && node esbuild.js --production",
-    "compile-tests": "tsc -p . --outDir out",
-    "watch-tests": "tsc -p . -w --outDir out",
-    "pretest": "npm run compile-tests && npm run compile && npm run lint",
-    "check-types": "tsc --noEmit",
-    "lint": "eslint src",
-    "test": "vscode-test"
-  },
-  "devDependencies": {
-    "@types/vscode": "^1.98.0",
-    "@types/mocha": "^10.0.10",
-    "@types/node": "20.x",
-    "@typescript-eslint/eslint-plugin": "^8.25.0",
-    "@typescript-eslint/parser": "^8.25.0",
-    "eslint": "^9.21.0",
-    "esbuild": "^0.25.0",
-    "npm-run-all": "^4.1.5",
-    "typescript": "^5.7.3",
-    "@vscode/test-cli": "^0.0.10",
-    "@vscode/test-electron": "^2.4.1"
-  }
-}

frontend/vsc/src/extension.ts

@@ -1,133 +0,0 @@
-// The module 'vscode' contains the VS Code extensibility API
-import * as vscode from 'vscode';
-
-/**
- * WebviewViewProvider implementation for the RA.Aid panel
- */
-class RAWebviewViewProvider implements vscode.WebviewViewProvider {
-  constructor(private readonly _extensionUri: vscode.Uri) {}
-
-  /**
-   * Called when a view is first created to initialize the webview
-   */
-  public resolveWebviewView(
-    webviewView: vscode.WebviewView,
-    context: vscode.WebviewViewResolveContext,
-    _token: vscode.CancellationToken
-  ) {
-    // Set options for the webview
-    webviewView.webview.options = {
-      // Enable JavaScript in the webview
-      enableScripts: true,
-      // Restrict the webview to only load resources from the extension's directory
-      localResourceRoots: [this._extensionUri]
-    };
-
-    // Set the HTML content of the webview
-    webviewView.webview.html = this._getHtmlForWebview(webviewView.webview);
-  }
-
-  /**
-   * Creates HTML content for the webview with proper security policies
-   */
-  private _getHtmlForWebview(webview: vscode.Webview): string {
-    // Create a URI to the extension's assets directory
-    const logoUri = webview.asWebviewUri(vscode.Uri.joinPath(this._extensionUri, 'assets', 'RA.png'));
-
-    // Create a URI to the script file
-    // const scriptUri = webview.asWebviewUri(vscode.Uri.joinPath(this._extensionUri, 'dist', 'webview.js'));
-
-    // Use a nonce to whitelist scripts
-    const nonce = getNonce();
-
-    return `<!DOCTYPE html>
-      <html lang="en">
-      <head>
-        <meta charset="UTF-8">
-        <meta http-equiv="Content-Security-Policy" content="default-src 'none'; img-src ${webview.cspSource} https:; style-src ${webview.cspSource} 'unsafe-inline'; script-src 'nonce-${nonce}';">
-        <meta name="viewport" content="width=device-width, initial-scale=1.0">
-        <title>RA.Aid</title>
-        <style>
-          body {
-            padding: 0;
-            color: var(--vscode-foreground);
-            font-size: var(--vscode-font-size);
-            font-weight: var(--vscode-font-weight);
-            font-family: var(--vscode-font-family);
-            background-color: var(--vscode-editor-background);
-          }
-          .container {
-            display: flex;
-            flex-direction: column;
-            align-items: center;
-            justify-content: center;
-            padding: 20px;
-            text-align: center;
-          }
-          .logo {
-            width: 100px;
-            height: 100px;
-            margin-bottom: 20px;
-          }
-          h1 {
-            color: var(--vscode-editor-foreground);
-            font-size: 1.3em;
-            margin-bottom: 15px;
-          }
-          p {
-            color: var(--vscode-foreground);
-            margin-bottom: 10px;
-          }
-        </style>
-      </head>
-      <body>
-        <div class="container">
-          <img src="${logoUri}" alt="RA.Aid Logo" class="logo">
-          <h1>RA.Aid</h1>
-          <p>Your research and development assistant.</p>
-          <p>More features coming soon!</p>
-        </div>
-      </body>
-      </html>`;
-  }
-}
-
-/**
- * Generates a random nonce for CSP
- */
-function getNonce() {
-  let text = '';
-  const possible = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789';
-  for (let i = 0; i < 32; i++) {
-    text += possible.charAt(Math.floor(Math.random() * possible.length));
-  }
-  return text;
-}
-
-// This method is called when your extension is activated
-export function activate(context: vscode.ExtensionContext) {
-  // Use the console to output diagnostic information (console.log) and errors (console.error)
-  console.log('Congratulations, your extension "ra-aid" is now active!');
-
-  // Register the WebviewViewProvider
-  const provider = new RAWebviewViewProvider(context.extensionUri);
-  const viewRegistration = vscode.window.registerWebviewViewProvider(
-    'ra-aid.view', // Must match the view id in package.json
-    provider
-  );
-  context.subscriptions.push(viewRegistration);
-
-  // The command has been defined in the package.json file
-  // Now provide the implementation of the command with registerCommand
-  // The commandId parameter must match the command field in package.json
-  const disposable = vscode.commands.registerCommand('ra-aid.helloWorld', () => {
-    // The code you place here will be executed every time your command is executed
-    // Display a message box to the user
-    vscode.window.showInformationMessage('Hello World from RA.Aid!');
-  });
-
-  context.subscriptions.push(disposable);
-}
-
-// This method is called when your extension is deactivated
-export function deactivate() {}

frontend/vsc/src/test/extension.test.ts

@@ -1,15 +0,0 @@
-import * as assert from 'assert';
-
-// You can import and use all API from the 'vscode' module
-// as well as import your extension to test it
-import * as vscode from 'vscode';
-// import * as myExtension from '../../extension';
-
-suite('Extension Test Suite', () => {
-	vscode.window.showInformationMessage('Start all tests.');
-
-	test('Sample test', () => {
-		assert.strictEqual(-1, [1, 2, 3].indexOf(5));
-		assert.strictEqual(-1, [1, 2, 3].indexOf(0));
-	});
-});

frontend/vsc/tsconfig.json

@@ -1,16 +0,0 @@
-{
-	"compilerOptions": {
-		"module": "Node16",
-		"target": "ES2022",
-		"lib": [
-			"ES2022"
-		],
-		"sourceMap": true,
-		"rootDir": "src",
-		"strict": true,   /* enable all strict type-checking options */
-		/* Additional Checks */
-		// "noImplicitReturns": true, /* Report error when not all code paths in function return a value. */
-		// "noFallthroughCasesInSwitch": true, /* Report errors for fallthrough cases in switch statement. */
-		// "noUnusedParameters": true,  /* Report errors on unused parameters. */
-	}
-}

frontend/vsc/vsc-extension-quickstart.md

@@ -1,48 +0,0 @@
-# Welcome to your VS Code Extension
-
-## What's in the folder
-
-* This folder contains all of the files necessary for your extension.
-* `package.json` - this is the manifest file in which you declare your extension and command.
-  * The sample plugin registers a command and defines its title and command name. With this information VS Code can show the command in the command palette. It doesn’t yet need to load the plugin.
-* `src/extension.ts` - this is the main file where you will provide the implementation of your command.
-  * The file exports one function, `activate`, which is called the very first time your extension is activated (in this case by executing the command). Inside the `activate` function we call `registerCommand`.
-  * We pass the function containing the implementation of the command as the second parameter to `registerCommand`.
-
-## Setup
-
-* install the recommended extensions (amodio.tsl-problem-matcher, ms-vscode.extension-test-runner, and dbaeumer.vscode-eslint)
-
-
-## Get up and running straight away
-
-* Press `F5` to open a new window with your extension loaded.
-* Run your command from the command palette by pressing (`Ctrl+Shift+P` or `Cmd+Shift+P` on Mac) and typing `Hello World`.
-* Set breakpoints in your code inside `src/extension.ts` to debug your extension.
-* Find output from your extension in the debug console.
-
-## Make changes
-
-* You can relaunch the extension from the debug toolbar after changing code in `src/extension.ts`.
-* You can also reload (`Ctrl+R` or `Cmd+R` on Mac) the VS Code window with your extension to load your changes.
-
-
-## Explore the API
-
-* You can open the full set of our API when you open the file `node_modules/@types/vscode/index.d.ts`.
-
-## Run tests
-
-* Install the [Extension Test Runner](https://marketplace.visualstudio.com/items?itemName=ms-vscode.extension-test-runner)
-* Run the "watch" task via the **Tasks: Run Task** command. Make sure this is running, or tests might not be discovered.
-* Open the Testing view from the activity bar and click the Run Test" button, or use the hotkey `Ctrl/Cmd + ; A`
-* See the output of the test result in the Test Results view.
-* Make changes to `src/test/extension.test.ts` or create new test files inside the `test` folder.
-  * The provided test runner will only consider files matching the name pattern `**.test.ts`.
-  * You can create folders inside the `test` folder to structure your tests any way you want.
-
-## Go further
-
-* Reduce the extension size and improve the startup time by [bundling your extension](https://code.visualstudio.com/api/working-with-extensions/bundling-extension).
-* [Publish your extension](https://code.visualstudio.com/api/working-with-extensions/publishing-extension) on the VS Code extension marketplace.
-* Automate builds by setting up [Continuous Integration](https://code.visualstudio.com/api/working-with-extensions/continuous-integration).

frontend/web/index.html

@@ -1,16 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-  <head>
-    <meta charset="UTF-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <meta name="description" content="Demo page showcasing shadcn/ui components from the common package" />
-    <title>RA-Aid UI Components Demo</title>
-    <link rel="preconnect" href="https://fonts.googleapis.com">
-    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
-    <link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap" rel="stylesheet">
-  </head>
-  <body>
-    <div id="root"></div>
-    <script type="module" src="/src/index.tsx"></script>
-  </body>
-</html>

frontend/web/package.json

@@ -1,26 +0,0 @@
-{
-  "name": "@ra-aid/web",
-  "version": "1.0.0",
-  "private": true,
-  "main": "dist/index.js",
-  "scripts": {
-    "dev": "vite",
-    "build": "vite build"
-  },
-  "dependencies": {
-    "react": "^18.0.0",
-    "react-dom": "^18.0.0",
-    "@ra-aid/common": "1.0.0"
-  },
-  "devDependencies": {
-    "vite": "^4.0.0",
-    "@vitejs/plugin-react": "^3.0.0",
-    "typescript": "^5.0.0",
-    "tailwindcss": "^3.4.1",
-    "postcss": "^8.4.35",
-    "autoprefixer": "^10.4.17"
-  },
-  "optionalDependencies": {
-    "@tailwindcss/forms": "^0.5.7"
-  }
-}

frontend/web/postcss.config.js

@@ -1,6 +0,0 @@
-module.exports = {
-  plugins: {
-    tailwindcss: {},
-    autoprefixer: {},
-  },
-}

frontend/web/src/index.tsx

@@ -1,19 +0,0 @@
-import React from 'react';
-import ReactDOM from 'react-dom/client';
-import { DefaultAgentScreen } from '@ra-aid/common';
-
-/**
- * Main application entry point
- * Simply renders the DefaultAgentScreen component from the common package
- */
-const App = () => {
-  return <DefaultAgentScreen />;
-};
-
-// Mount the app to the root element
-const root = ReactDOM.createRoot(document.getElementById('root')!);
-root.render(
-  <React.StrictMode>
-    <App />
-  </React.StrictMode>
-);

frontend/web/tailwind.config.js

@@ -1,14 +0,0 @@
-/** @type {import('tailwindcss').Config} */
-module.exports = {
-  presets: [require('../common/tailwind.preset')],
-  content: [
-    './src/**/*.{js,jsx,ts,tsx}',
-    '../common/src/**/*.{js,jsx,ts,tsx}'
-  ],
-  theme: {
-    extend: {},
-  },
-  plugins: [
-    require('@tailwindcss/forms')
-  ],
-}

frontend/web/tsconfig.json

@@ -1,15 +0,0 @@
-{
-  "compilerOptions": {
-    "target": "ES6",
-    "module": "ESNext",
-    "moduleResolution": "node",
-    "jsx": "react-jsx",
-    "strict": true,
-    "esModuleInterop": true,
-    "skipLibCheck": true,
-    "forceConsistentCasingInFileNames": true,
-    "outDir": "dist",
-    "rootDir": "src"
-  },
-  "include": ["src"]
-}

frontend/web/vite.config.js

@@ -1,40 +0,0 @@
-import { defineConfig } from 'vite';
-import react from '@vitejs/plugin-react';
-import path from 'path';
-import fs from 'fs';
-
-// Get all component files from common package
-const commonSrcDir = path.resolve(__dirname, '../common/src');
-
-export default defineConfig({
-  plugins: [react()],
-  resolve: {
-    alias: {
-      // Direct alias to the source directory
-      '@ra-aid/common': path.resolve(__dirname, '../common/src')
-    },
-    preserveSymlinks: true
-  },
-  optimizeDeps: {
-    // Exclude the common package from optimization so it can trigger hot reload
-    exclude: ['@ra-aid/common']
-  },
-  server: {
-    hmr: true,
-    watch: {
-      usePolling: true,
-      interval: 100,
-      // Make sure to explicitly NOT ignore the common package
-      ignored: [
-        '**/node_modules/**',
-        '**/dist/**',
-        '!**/common/src/**'
-      ]
-    }
-  },
-  build: {
-    commonjsOptions: {
-      transformMixedEsModules: true
-    }
-  }
-});

pyproject.toml

@@ -50,7 +50,6 @@ dependencies = [
     "platformdirs>=3.17.9",
     "requests",
     "packaging",
-    "prompt-toolkit"
 ]
 
 [project.optional-dependencies]

ra_aid/__main__.py

@@ -5,8 +5,24 @@ import sys
 import uuid
 from datetime import datetime
 
+# Add litellm import
 import litellm
 
+# Configure litellm to suppress debug logs
+os.environ["LITELLM_LOG"] = "ERROR"
+litellm.suppress_debug_info = True
+litellm.set_verbose = False
+
+# Explicitly configure LiteLLM's loggers
+for logger_name in ["litellm", "LiteLLM"]:
+    litellm_logger = logging.getLogger(logger_name)
+    litellm_logger.setLevel(logging.WARNING)
+    litellm_logger.propagate = True
+
+# Use litellm's internal method to disable debugging
+if hasattr(litellm, "_logging") and hasattr(litellm._logging, "_disable_debugging"):
+    litellm._logging._disable_debugging()
+
 from langgraph.checkpoint.memory import MemorySaver
 from rich.console import Console
 from rich.panel import Panel
@@ -23,41 +39,32 @@ from ra_aid.agents.research_agent import run_research_agent
 from ra_aid.agents import run_planning_agent
 from ra_aid.config import (
     DEFAULT_MAX_TEST_CMD_RETRIES,
-    DEFAULT_MODEL,
     DEFAULT_RECURSION_LIMIT,
     DEFAULT_TEST_CMD_TIMEOUT,
     VALID_PROVIDERS,
 )
-from ra_aid.database.repositories.key_fact_repository import (
-    KeyFactRepositoryManager,
-    get_key_fact_repository,
-)
+from ra_aid.database.repositories.key_fact_repository import KeyFactRepositoryManager, get_key_fact_repository
 from ra_aid.database.repositories.key_snippet_repository import (
-    KeySnippetRepositoryManager,
-    get_key_snippet_repository,
+    KeySnippetRepositoryManager, get_key_snippet_repository
 )
 from ra_aid.database.repositories.human_input_repository import (
-    HumanInputRepositoryManager,
-    get_human_input_repository,
+    HumanInputRepositoryManager, get_human_input_repository
 )
 from ra_aid.database.repositories.research_note_repository import (
-    ResearchNoteRepositoryManager,
-    get_research_note_repository,
+    ResearchNoteRepositoryManager, get_research_note_repository
 )
 from ra_aid.database.repositories.trajectory_repository import (
-    TrajectoryRepositoryManager,
-    get_trajectory_repository,
-)
-from ra_aid.database.repositories.session_repository import (
-    SessionRepositoryManager, get_session_repository
+    TrajectoryRepositoryManager, get_trajectory_repository
 )
 from ra_aid.database.repositories.related_files_repository import (
-    RelatedFilesRepositoryManager,
+    RelatedFilesRepositoryManager
+)
+from ra_aid.database.repositories.work_log_repository import (
+    WorkLogRepositoryManager
 )
-from ra_aid.database.repositories.work_log_repository import WorkLogRepositoryManager
 from ra_aid.database.repositories.config_repository import (
     ConfigRepositoryManager,
-    get_config_repository,
+    get_config_repository
 )
 from ra_aid.env_inv import EnvDiscovery
 from ra_aid.env_inv_context import EnvInvManager, get_env_inv
@@ -83,154 +90,19 @@ from ra_aid.tools.human import ask_human
 
 logger = get_logger(__name__)
 
-# Configure litellm to suppress debug logs
-os.environ["LITELLM_LOG"] = "ERROR"
-litellm.suppress_debug_info = True
-litellm.set_verbose = False
 
-# Explicitly configure LiteLLM's loggers
-for logger_name in ["litellm", "LiteLLM"]:
-    litellm_logger = logging.getLogger(logger_name)
-    litellm_logger.setLevel(logging.WARNING)
-    litellm_logger.propagate = True
-
-# Use litellm's internal method to disable debugging
-if hasattr(litellm, "_logging") and hasattr(litellm._logging, "_disable_debugging"):
-    litellm._logging._disable_debugging()
-
-
-def launch_server(host: str, port: int, args):
+def launch_webui(host: str, port: int):
     """Launch the RA.Aid web interface."""
-    from ra_aid.server import run_server
-    from ra_aid.database.connection import DatabaseManager
-    from ra_aid.database.repositories.session_repository import SessionRepositoryManager
-    from ra_aid.database.repositories.key_fact_repository import KeyFactRepositoryManager
-    from ra_aid.database.repositories.key_snippet_repository import KeySnippetRepositoryManager
-    from ra_aid.database.repositories.human_input_repository import HumanInputRepositoryManager
-    from ra_aid.database.repositories.research_note_repository import ResearchNoteRepositoryManager
-    from ra_aid.database.repositories.related_files_repository import RelatedFilesRepositoryManager
-    from ra_aid.database.repositories.trajectory_repository import TrajectoryRepositoryManager
-    from ra_aid.database.repositories.work_log_repository import WorkLogRepositoryManager
-    from ra_aid.database.repositories.config_repository import ConfigRepositoryManager
-    from ra_aid.env_inv_context import EnvInvManager
-    from ra_aid.env_inv import EnvDiscovery
-    
-    # Set the console handler level to INFO for server mode
-    # Get the root logger and modify the console handler
-    root_logger = logging.getLogger()
-    for handler in root_logger.handlers:
-        # Check if this is a console handler (outputs to stdout/stderr)
-        if isinstance(handler, logging.StreamHandler) and handler.stream in [sys.stdout, sys.stderr]:
-            # Set console handler to INFO level for better visibility in server mode
-            handler.setLevel(logging.INFO)
-            logger.debug("Modified console logging level to INFO for server mode")
-    
-    # Apply any pending database migrations
-    from ra_aid.database import ensure_migrations_applied
-    try:
-        migration_result = ensure_migrations_applied()
-        if not migration_result:
-            logger.warning("Database migrations failed but execution will continue")
-    except Exception as e:
-        logger.error(f"Database migration error: {str(e)}")
-    
-    # Check dependencies before proceeding
-    check_dependencies()
+    from ra_aid.webui import run_server
 
-    # Validate environment (expert_enabled, web_research_enabled)
-    (
-        expert_enabled,
-        expert_missing,
-        web_research_enabled,
-        web_research_missing,
-    ) = validate_environment(
-        args
-    )  # Will exit if main env vars missing
-    logger.debug("Environment validation successful")
-
-    # Validate model configuration early
-    model_config = models_params.get(args.provider, {}).get(
-        args.model or "", {}
-    )
-    supports_temperature = model_config.get(
-        "supports_temperature",
-        args.provider
-        in [
-            "anthropic",
-            "openai",
-            "openrouter",
-            "openai-compatible",
-            "deepseek",
-        ],
-    )
-
-    if supports_temperature and args.temperature is None:
-        args.temperature = model_config.get("default_temperature")
-        if args.temperature is None:
-            cpm(
-                f"This model supports temperature argument but none was given. Setting default temperature to {DEFAULT_TEMPERATURE}."
-            )
-            args.temperature = DEFAULT_TEMPERATURE
-        logger.debug(
-            f"Using default temperature {args.temperature} for model {args.model}"
-        )
-    
-    # Initialize config dictionary with values from args and environment validation
-    config = {
-        "provider": args.provider,
-        "model": args.model,
-        "expert_provider": args.expert_provider,
-        "expert_model": args.expert_model,
-        "temperature": args.temperature,
-        "experimental_fallback_handler": args.experimental_fallback_handler,
-        "expert_enabled": expert_enabled,
-        "web_research_enabled": web_research_enabled,
-        "show_thoughts": args.show_thoughts,
-        "show_cost": args.show_cost,
-        "force_reasoning_assistance": args.reasoning_assistance,
-        "disable_reasoning_assistance": args.no_reasoning_assistance
-    }
-    
-    # Initialize environment discovery
-    env_discovery = EnvDiscovery()
-    env_discovery.discover()
-    env_data = env_discovery.format_markdown()
-    
     print(f"Starting RA.Aid web interface on http://{host}:{port}")
-    
-    # Initialize database connection and repositories
-    with DatabaseManager() as db, \
-         SessionRepositoryManager(db) as session_repo, \
-         KeyFactRepositoryManager(db) as key_fact_repo, \
-         KeySnippetRepositoryManager(db) as key_snippet_repo, \
-         HumanInputRepositoryManager(db) as human_input_repo, \
-         ResearchNoteRepositoryManager(db) as research_note_repo, \
-         RelatedFilesRepositoryManager() as related_files_repo, \
-         TrajectoryRepositoryManager(db) as trajectory_repo, \
-         WorkLogRepositoryManager() as work_log_repo, \
-         ConfigRepositoryManager(config) as config_repo, \
-         EnvInvManager(env_data) as env_inv:
-        
-        # This initializes all repositories and makes them available via their respective get methods
-        logger.debug("Initialized SessionRepository")
-        logger.debug("Initialized KeyFactRepository")
-        logger.debug("Initialized KeySnippetRepository")
-        logger.debug("Initialized HumanInputRepository")
-        logger.debug("Initialized ResearchNoteRepository")
-        logger.debug("Initialized RelatedFilesRepository")
-        logger.debug("Initialized TrajectoryRepository")
-        logger.debug("Initialized WorkLogRepository")
-        logger.debug("Initialized ConfigRepository")
-        logger.debug("Initialized Environment Inventory")
-        
-        # Run the server within the context managers
-        run_server(host=host, port=port)
+    run_server(host=host, port=port)
 
 
 def parse_arguments(args=None):
-    ANTHROPIC_DEFAULT_MODEL = DEFAULT_MODEL
+    ANTHROPIC_DEFAULT_MODEL = "claude-3-7-sonnet-20250219"
     OPENAI_DEFAULT_MODEL = "gpt-4o"
-
+    
     # Case-insensitive log level argument type
     def log_level_type(value):
         value = value.lower()
@@ -327,10 +199,8 @@ Examples:
         help="Enable chat mode with direct human interaction (implies --hil)",
     )
     parser.add_argument(
-        "--log-mode",
-        choices=["console", "file"],
-        default="file",
-        help="Logging mode: 'console' shows all logs in console, 'file' logs to file with only warnings+ in console",
+        "--log-mode", choices=["console", "file"], default="file", 
+        help="Logging mode: 'console' shows all logs in console, 'file' logs to file with only warnings+ in console"
     )
     parser.add_argument(
         "--pretty-logger", action="store_true", help="Enable pretty logging output"
@@ -394,21 +264,21 @@ Examples:
         help=f"Timeout in seconds for test command execution (default: {DEFAULT_TEST_CMD_TIMEOUT})",
     )
     parser.add_argument(
-        "--server",
+        "--webui",
         action="store_true",
         help="Launch the web interface",
     )
     parser.add_argument(
-        "--server-host",
+        "--webui-host",
         type=str,
         default="0.0.0.0",
         help="Host to listen on for web interface (default: 0.0.0.0)",
     )
     parser.add_argument(
-        "--server-port",
+        "--webui-port",
         type=int,
-        default=1818,
-        help="Port to listen on for web interface (default: 1818)",
+        default=8080,
+        help="Port to listen on for web interface (default: 8080)",
     )
     parser.add_argument(
         "--wipe-project-memory",
@@ -420,11 +290,6 @@ Examples:
         action="store_true",
         help="Display model thinking content extracted from think tags when supported by the model",
     )
-    parser.add_argument(
-        "--show-cost",
-        action="store_true",
-        help="Display cost information as the agent works",
-    )
     parser.add_argument(
         "--reasoning-assistance",
         action="store_true",
@@ -513,20 +378,20 @@ def is_stage_requested(stage: str) -> bool:
 
 def wipe_project_memory():
     """Delete the project database file to wipe all stored memory.
-
+    
     Returns:
         str: A message indicating the result of the operation
     """
     import os
     from pathlib import Path
-
+    
     cwd = os.getcwd()
     ra_aid_dir = Path(os.path.join(cwd, ".ra-aid"))
     db_path = os.path.join(ra_aid_dir, "pk.db")
-
+    
     if not os.path.exists(db_path):
         return "No project memory found to wipe."
-
+    
     try:
         os.remove(db_path)
         return "Project memory wiped successfully."
@@ -538,11 +403,11 @@ def wipe_project_memory():
 
 def build_status():
     """Build status panel with model and feature information.
-
+    
     Includes memory statistics at the bottom with counts of key facts, snippets, and research notes.
     """
     status = Text()
-
+    
     # Get the config repository to get model/provider information
     config_repo = get_config_repository()
     provider = config_repo.get("provider", "")
@@ -550,14 +415,12 @@ def build_status():
     temperature = config_repo.get("temperature")
     expert_provider = config_repo.get("expert_provider", "")
     expert_model = config_repo.get("expert_model", "")
-    experimental_fallback_handler = config_repo.get(
-        "experimental_fallback_handler", False
-    )
+    experimental_fallback_handler = config_repo.get("experimental_fallback_handler", False)
     web_research_enabled = config_repo.get("web_research_enabled", False)
-
+    
     # Get the expert enabled status
     expert_enabled = bool(expert_provider and expert_model)
-
+    
     # Basic model information
     status.append("🤖 ")
     status.append(f"{provider}/{model}")
@@ -589,41 +452,39 @@ def build_status():
             [fb_handler._format_model(m) for m in fb_handler.fallback_tool_models]
         )
         status.append(msg)
-
+    
     # Add memory statistics
     # Get counts of key facts, snippets, and research notes with error handling
     fact_count = 0
     snippet_count = 0
     note_count = 0
-
+    
     try:
         fact_count = len(get_key_fact_repository().get_all())
     except RuntimeError as e:
         logger.debug(f"Failed to get key facts count: {e}")
-
+    
     try:
         snippet_count = len(get_key_snippet_repository().get_all())
     except RuntimeError as e:
         logger.debug(f"Failed to get key snippets count: {e}")
-
+    
     try:
         note_count = len(get_research_note_repository().get_all())
     except RuntimeError as e:
         logger.debug(f"Failed to get research notes count: {e}")
-
+    
     # Add memory statistics line with reset option note
-    status.append(
-        f"\n💾 Memory: {fact_count} facts, {snippet_count} snippets, {note_count} notes"
-    )
+    status.append(f"\n💾 Memory: {fact_count} facts, {snippet_count} snippets, {note_count} notes")
     if fact_count > 0 or snippet_count > 0 or note_count > 0:
         status.append(" (use --wipe-project-memory to reset)")
-
+    
     # Check for newer version
     version_message = check_for_newer_version()
     if version_message:
         status.append("\n\n")
         status.append(version_message, style="yellow")
-
+    
     return status
 
 
@@ -632,7 +493,7 @@ def main():
     args = parse_arguments()
     setup_logging(args.log_mode, args.pretty_logger, args.log_level)
     logger.debug("Starting RA.Aid with arguments: %s", args)
-
+    
     # Check if we need to wipe project memory before starting
     if args.wipe_project_memory:
         result = wipe_project_memory()
@@ -640,8 +501,8 @@ def main():
         print(f"📋 {result}")
 
     # Launch web interface if requested
-    if args.server:
-        launch_server(args.server_host, args.server_port, args)
+    if args.webui:
+        launch_webui(args.webui_host, args.webui_port)
         return
 
     try:
@@ -658,15 +519,14 @@ def main():
 
             # Initialize empty config dictionary to be populated later
             config = {}
-
+            
             # Initialize repositories with database connection
             # Create environment inventory data
             env_discovery = EnvDiscovery()
             env_discovery.discover()
             env_data = env_discovery.format_markdown()
             
-            with SessionRepositoryManager(db) as session_repo, \
-                 KeyFactRepositoryManager(db) as key_fact_repo, \
+            with KeyFactRepositoryManager(db) as key_fact_repo, \
                  KeySnippetRepositoryManager(db) as key_snippet_repo, \
                  HumanInputRepositoryManager(db) as human_input_repo, \
                  ResearchNoteRepositoryManager(db) as research_note_repo, \
@@ -676,7 +536,6 @@ def main():
                  ConfigRepositoryManager(config) as config_repo, \
                  EnvInvManager(env_data) as env_inv:
                 # This initializes all repositories and makes them available via their respective get methods
-                logger.debug("Initialized SessionRepository")
                 logger.debug("Initialized KeyFactRepository")
                 logger.debug("Initialized KeySnippetRepository")
                 logger.debug("Initialized HumanInputRepository")
@@ -686,10 +545,6 @@ def main():
                 logger.debug("Initialized WorkLogRepository")
                 logger.debug("Initialized ConfigRepository")
                 logger.debug("Initialized Environment Inventory")
-                
-                # Create a new session for this program run
-                logger.debug("Initializing new session")
-                session_repo.create_session()
 
                 # Check dependencies before proceeding
                 check_dependencies()
@@ -699,9 +554,7 @@ def main():
                     expert_missing,
                     web_research_enabled,
                     web_research_missing,
-                ) = validate_environment(
-                    args
-                )  # Will exit if main env vars missing
+                ) = validate_environment(args)  # Will exit if main env vars missing
                 logger.debug("Environment validation successful")
 
                 # Validate model configuration early
@@ -737,16 +590,11 @@ def main():
                 config_repo.set("expert_provider", args.expert_provider)
                 config_repo.set("expert_model", args.expert_model)
                 config_repo.set("temperature", args.temperature)
-                config_repo.set(
-                    "experimental_fallback_handler", args.experimental_fallback_handler
-                )
+                config_repo.set("experimental_fallback_handler", args.experimental_fallback_handler)
                 config_repo.set("web_research_enabled", web_research_enabled)
                 config_repo.set("show_thoughts", args.show_thoughts)
-                config_repo.set("show_cost", args.show_cost)
                 config_repo.set("force_reasoning_assistance", args.reasoning_assistance)
-                config_repo.set(
-                    "disable_reasoning_assistance", args.no_reasoning_assistance
-                )
+                config_repo.set("disable_reasoning_assistance", args.no_reasoning_assistance)
 
                 # Build status panel with memory statistics
                 status = build_status()
@@ -815,15 +663,13 @@ def main():
                     initial_request = ask_human.invoke(
                         {"question": "What would you like help with?"}
                     )
-
+                    
                     # Record chat input in database (redundant as ask_human already records it,
                     # but needed in case the ask_human implementation changes)
                     try:
                         # Using get_human_input_repository() to access the repository from context
                         human_input_repository = get_human_input_repository()
-                        human_input_repository.create(
-                            content=initial_request, source="chat"
-                        )
+                        human_input_repository.create(content=initial_request, source='chat')
                         human_input_repository.garbage_collect()
                     except Exception as e:
                         logger.error(f"Failed to record initial chat input: {str(e)}")
@@ -852,7 +698,6 @@ def main():
                     config_repo.set("expert_model", args.expert_model)
                     config_repo.set("temperature", args.temperature)
                     config_repo.set("show_thoughts", args.show_thoughts)
-                    config_repo.set("show_cost", args.show_cost)
                     config_repo.set("force_reasoning_assistance", args.reasoning_assistance)
                     config_repo.set("disable_reasoning_assistance", args.no_reasoning_assistance)
 
@@ -881,12 +726,8 @@ def main():
                             ),
                             working_directory=working_directory,
                             current_date=current_date,
-                            key_facts=format_key_facts_dict(
-                                get_key_fact_repository().get_facts_dict()
-                            ),
-                            key_snippets=format_key_snippets_dict(
-                                get_key_snippet_repository().get_snippets_dict()
-                            ),
+                            key_facts=format_key_facts_dict(get_key_fact_repository().get_facts_dict()),
+                            key_snippets=format_key_snippets_dict(get_key_snippet_repository().get_snippets_dict()),
                             project_info=formatted_project_info,
                             env_inv=get_env_inv(),
                         ),
@@ -918,12 +759,12 @@ def main():
                     sys.exit(1)
 
                 base_task = args.message
-
+                
                 # Record CLI input in database
                 try:
                     # Using get_human_input_repository() to access the repository from context
                     human_input_repository = get_human_input_repository()
-                    human_input_repository.create(content=base_task, source="cli")
+                    human_input_repository.create(content=base_task, source='cli')
                     # Run garbage collection to ensure we don't exceed 100 inputs
                     human_input_repository.garbage_collect()
                     logger.debug(f"Recorded CLI input: {base_task}")
@@ -957,25 +798,19 @@ def main():
                 config_repo.set("expert_model", args.expert_model)
 
                 # Store planner config with fallback to base values
-                config_repo.set(
-                    "planner_provider", args.planner_provider or args.provider
-                )
+                config_repo.set("planner_provider", args.planner_provider or args.provider)
                 config_repo.set("planner_model", args.planner_model or args.model)
 
                 # Store research config with fallback to base values
-                config_repo.set(
-                    "research_provider", args.research_provider or args.provider
-                )
+                config_repo.set("research_provider", args.research_provider or args.provider)
                 config_repo.set("research_model", args.research_model or args.model)
 
                 # Store temperature in config
                 config_repo.set("temperature", args.temperature)
-
+                
                 # Store reasoning assistance flags
                 config_repo.set("force_reasoning_assistance", args.reasoning_assistance)
-                config_repo.set(
-                    "disable_reasoning_assistance", args.no_reasoning_assistance
-                )
+                config_repo.set("disable_reasoning_assistance", args.no_reasoning_assistance)
 
                 # Set modification tools based on use_aider flag
                 set_modification_tools(args.use_aider)
@@ -1019,6 +854,5 @@ def main():
         print()
         sys.exit(0)
 
-
 if __name__ == "__main__":
     main()

ra_aid/__version__.py

@@ -1,3 +1,3 @@
 """Version information."""
 
-__version__ = "0.17.1"
+__version__ = "0.16.1"

ra_aid/agent_backends/ciayn_agent.py

@@ -825,8 +825,7 @@ class CiaynAgent:
             try:
                 last_result = self._execute_tool(response)
                 self.chat_history.append(response)
-                if hasattr(self.fallback_handler, 'reset_fallback_handler'):
-                    self.fallback_handler.reset_fallback_handler()
+                self.fallback_handler.reset_fallback_handler()
                 yield {}
 
             except ToolExecutionError as e:

ra_aid/agent_utils.py

@@ -1,14 +1,19 @@
 """Utility functions for working with agents."""
 
+import inspect
+import os
 import signal
 import sys
 import threading
 import time
-from typing import Any, Dict, List, Literal, Optional
+import uuid
+from datetime import datetime
+from typing import Any, Dict, List, Literal, Optional, Sequence
 
-from langchain_anthropic import ChatAnthropic
 from ra_aid.callbacks.anthropic_callback_handler import AnthropicCallbackHandler
 
+
+import litellm
 from anthropic import APIError, APITimeoutError, InternalServerError, RateLimitError
 from openai import RateLimitError as OpenAIRateLimitError
 from litellm.exceptions import RateLimitError as LiteLLMRateLimitError
@@ -18,24 +23,28 @@ from langchain_core.messages import (
     BaseMessage,
     HumanMessage,
     SystemMessage,
+    trim_messages,
 )
 from langchain_core.tools import tool
+from langgraph.checkpoint.memory import MemorySaver
 from langgraph.prebuilt import create_react_agent
 from langgraph.prebuilt.chat_agent_executor import AgentState
+from litellm import get_model_info
 from rich.console import Console
 from rich.markdown import Markdown
 from rich.panel import Panel
 
 from ra_aid.agent_context import (
     agent_context,
+    get_depth,
     is_completed,
     reset_completion_flags,
     should_exit,
 )
 from ra_aid.agent_backends.ciayn_agent import CiaynAgent
 from ra_aid.agents_alias import RAgents
-from ra_aid.config import DEFAULT_MAX_TEST_CMD_RETRIES
-from ra_aid.console.formatting import print_error
+from ra_aid.config import DEFAULT_MAX_TEST_CMD_RETRIES, DEFAULT_RECURSION_LIMIT
+from ra_aid.console.formatting import print_error, print_stage_header
 from ra_aid.console.output import print_agent_output
 from ra_aid.exceptions import (
     AgentInterrupt,
@@ -44,26 +53,77 @@ from ra_aid.exceptions import (
 )
 from ra_aid.fallback_handler import FallbackHandler
 from ra_aid.logging_config import get_logger
-from ra_aid.models_params import DEFAULT_TOKEN_LIMIT
+from ra_aid.llm import initialize_expert_llm
+from ra_aid.models_params import DEFAULT_TOKEN_LIMIT, models_params
+from ra_aid.text.processing import process_thinking_content
+from ra_aid.project_info import (
+    display_project_status,
+    format_project_info,
+    get_project_info,
+)
+from ra_aid.prompts.expert_prompts import (
+    EXPERT_PROMPT_SECTION_IMPLEMENTATION,
+    EXPERT_PROMPT_SECTION_PLANNING,
+    EXPERT_PROMPT_SECTION_RESEARCH,
+)
+from ra_aid.prompts.human_prompts import (
+    HUMAN_PROMPT_SECTION_IMPLEMENTATION,
+    HUMAN_PROMPT_SECTION_PLANNING,
+    HUMAN_PROMPT_SECTION_RESEARCH,
+)
+from ra_aid.prompts.implementation_prompts import IMPLEMENTATION_PROMPT
+from ra_aid.prompts.common_prompts import NEW_PROJECT_HINTS
+from ra_aid.prompts.planning_prompts import PLANNING_PROMPT
+from ra_aid.prompts.reasoning_assist_prompt import (
+    REASONING_ASSIST_PROMPT_PLANNING,
+    REASONING_ASSIST_PROMPT_IMPLEMENTATION,
+    REASONING_ASSIST_PROMPT_RESEARCH,
+)
+from ra_aid.prompts.research_prompts import (
+    RESEARCH_ONLY_PROMPT,
+    RESEARCH_PROMPT,
+)
+from ra_aid.prompts.web_research_prompts import (
+    WEB_RESEARCH_PROMPT,
+    WEB_RESEARCH_PROMPT_SECTION_CHAT,
+    WEB_RESEARCH_PROMPT_SECTION_PLANNING,
+    WEB_RESEARCH_PROMPT_SECTION_RESEARCH,
+)
+from ra_aid.tool_configs import (
+    get_implementation_tools,
+    get_planning_tools,
+    get_research_tools,
+    get_web_research_tools,
+)
 from ra_aid.tools.handle_user_defined_test_cmd_execution import execute_test_command
+from ra_aid.database.repositories.key_fact_repository import get_key_fact_repository
+from ra_aid.database.repositories.key_snippet_repository import (
+    get_key_snippet_repository,
+)
 from ra_aid.database.repositories.human_input_repository import (
     get_human_input_repository,
 )
-from ra_aid.database.repositories.trajectory_repository import get_trajectory_repository
-from ra_aid.database.repositories.config_repository import get_config_repository
-from ra_aid.anthropic_token_limiter import (
-    get_model_name_from_chat_model,
-    sonnet_35_state_modifier,
-    state_modifier,
-    get_model_token_limit,
+from ra_aid.database.repositories.research_note_repository import (
+    get_research_note_repository,
 )
-from ra_aid.model_detection import is_anthropic_claude
+from ra_aid.database.repositories.trajectory_repository import get_trajectory_repository
+from ra_aid.database.repositories.work_log_repository import get_work_log_repository
+from ra_aid.model_formatters import format_key_facts_dict
+from ra_aid.model_formatters.key_snippets_formatter import format_key_snippets_dict
+from ra_aid.model_formatters.research_notes_formatter import format_research_notes_dict
+from ra_aid.tools.memory import (
+    get_related_files,
+    log_work_event,
+)
+from ra_aid.database.repositories.config_repository import get_config_repository
+from ra_aid.env_inv_context import get_env_inv
 
 console = Console()
 
 logger = get_logger(__name__)
 
 # Import repositories using get_* functions
+from ra_aid.database.repositories.key_fact_repository import get_key_fact_repository
 
 
 @tool
@@ -73,17 +133,131 @@ def output_markdown_message(message: str) -> str:
     return "Message output."
 
 
+def estimate_messages_tokens(messages: Sequence[BaseMessage]) -> int:
+    """Helper function to estimate total tokens in a sequence of messages.
+
+    Args:
+        messages: Sequence of messages to count tokens for
+
+    Returns:
+        Total estimated token count
+    """
+    if not messages:
+        return 0
+
+    estimate_tokens = CiaynAgent._estimate_tokens
+    return sum(estimate_tokens(msg) for msg in messages)
+
+
+def state_modifier(
+    state: AgentState, max_input_tokens: int = DEFAULT_TOKEN_LIMIT
+) -> list[BaseMessage]:
+    """Given the agent state and max_tokens, return a trimmed list of messages.
+
+    Args:
+        state: The current agent state containing messages
+        max_tokens: Maximum number of tokens to allow (default: DEFAULT_TOKEN_LIMIT)
+
+    Returns:
+        list[BaseMessage]: Trimmed list of messages that fits within token limit
+    """
+    messages = state["messages"]
+
+    if not messages:
+        return []
+
+    first_message = messages[0]
+    remaining_messages = messages[1:]
+    first_tokens = estimate_messages_tokens([first_message])
+    new_max_tokens = max_input_tokens - first_tokens
+
+    trimmed_remaining = trim_messages(
+        remaining_messages,
+        token_counter=estimate_messages_tokens,
+        max_tokens=new_max_tokens,
+        strategy="last",
+        allow_partial=False,
+    )
+
+    return [first_message] + trimmed_remaining
+
+
+def get_model_token_limit(
+    config: Dict[str, Any], agent_type: Literal["default", "research", "planner"]
+) -> Optional[int]:
+    """Get the token limit for the current model configuration based on agent type.
+
+    Returns:
+        Optional[int]: The token limit if found, None otherwise
+    """
+    try:
+        # Try to get config from repository for production use
+        try:
+            config_from_repo = get_config_repository().get_all()
+            # If we succeeded, use the repository config instead of passed config
+            config = config_from_repo
+        except RuntimeError:
+            # In tests, this may fail because the repository isn't set up
+            # So we'll use the passed config directly
+            pass
+        if agent_type == "research":
+            provider = config.get("research_provider", "") or config.get("provider", "")
+            model_name = config.get("research_model", "") or config.get("model", "")
+        elif agent_type == "planner":
+            provider = config.get("planner_provider", "") or config.get("provider", "")
+            model_name = config.get("planner_model", "") or config.get("model", "")
+        else:
+            provider = config.get("provider", "")
+            model_name = config.get("model", "")
+
+        try:
+            provider_model = model_name if not provider else f"{provider}/{model_name}"
+            model_info = get_model_info(provider_model)
+            max_input_tokens = model_info.get("max_input_tokens")
+            if max_input_tokens:
+                logger.debug(
+                    f"Using litellm token limit for {model_name}: {max_input_tokens}"
+                )
+                return max_input_tokens
+        except litellm.exceptions.NotFoundError:
+            logger.debug(
+                f"Model {model_name} not found in litellm, falling back to models_params"
+            )
+        except Exception as e:
+            logger.debug(
+                f"Error getting model info from litellm: {e}, falling back to models_params"
+            )
+
+        # Fallback to models_params dict
+        # Normalize model name for fallback lookup (e.g. claude-2 -> claude2)
+        normalized_name = model_name.replace("-", "")
+        provider_tokens = models_params.get(provider, {})
+        if normalized_name in provider_tokens:
+            max_input_tokens = provider_tokens[normalized_name]["token_limit"]
+            logger.debug(
+                f"Found token limit for {provider}/{model_name}: {max_input_tokens}"
+            )
+        else:
+            max_input_tokens = None
+            logger.debug(f"Could not find token limit for {provider}/{model_name}")
+
+        return max_input_tokens
+
+    except Exception as e:
+        logger.warning(f"Failed to get model token limit: {e}")
+        return None
+
+
 def build_agent_kwargs(
     checkpointer: Optional[Any] = None,
-    model: ChatAnthropic = None,
     max_input_tokens: Optional[int] = None,
 ) -> Dict[str, Any]:
     """Build kwargs dictionary for agent creation.
 
     Args:
         checkpointer: Optional memory checkpointer
-        model: The language model to use for token counting
-        max_input_tokens: Optional token limit for the model
+        config: Optional configuration dictionary
+        token_limit: Optional token limit for the model
 
     Returns:
         Dictionary of kwargs for agent creation
@@ -96,31 +270,37 @@ def build_agent_kwargs(
         agent_kwargs["checkpointer"] = checkpointer
 
     config = get_config_repository().get_all()
-    if (
-        config.get("limit_tokens", True)
-        and is_anthropic_claude(config)
-        and model is not None
-    ):
+    if config.get("limit_tokens", True) and is_anthropic_claude(config):
 
         def wrapped_state_modifier(state: AgentState) -> list[BaseMessage]:
-            model_name = get_model_name_from_chat_model(model)
-
-            if any(
-                pattern in model_name
-                for pattern in ["claude-3.5", "claude3.5", "claude-3-5"]
-            ):
-                return sonnet_35_state_modifier(
-                    state, max_input_tokens=max_input_tokens
-                )
-
-            return state_modifier(state, model, max_input_tokens=max_input_tokens)
+            return state_modifier(state, max_input_tokens=max_input_tokens)
 
         agent_kwargs["state_modifier"] = wrapped_state_modifier
-    agent_kwargs["name"] = "React"
 
     return agent_kwargs
 
 
+def is_anthropic_claude(config: Dict[str, Any]) -> bool:
+    """Check if the provider and model name indicate an Anthropic Claude model.
+
+    Args:
+        config: Configuration dictionary containing provider and model information
+
+    Returns:
+        bool: True if this is an Anthropic Claude model
+    """
+    # For backwards compatibility, allow passing of config directly
+    provider = config.get("provider", "")
+    model_name = config.get("model", "")
+    result = (
+        provider.lower() == "anthropic"
+        and model_name
+        and "claude" in model_name.lower()
+    ) or (
+        provider.lower() == "openrouter"
+        and model_name.lower().startswith("anthropic/claude-")
+    )
+    return result
 
 
 def create_agent(
@@ -159,14 +339,13 @@ def create_agent(
             # So we'll use the passed config directly
             pass
         max_input_tokens = (
-            get_model_token_limit(config, agent_type, model) or DEFAULT_TOKEN_LIMIT
+            get_model_token_limit(config, agent_type) or DEFAULT_TOKEN_LIMIT
         )
 
         # Use REACT agent for Anthropic Claude models, otherwise use CIAYN
         if is_anthropic_claude(config):
             logger.debug("Using create_react_agent to instantiate agent.")
-
-            agent_kwargs = build_agent_kwargs(checkpointer, model, max_input_tokens)
+            agent_kwargs = build_agent_kwargs(checkpointer, max_input_tokens)
             return create_react_agent(
                 model, tools, interrupt_after=["tools"], **agent_kwargs
             )
@@ -178,13 +357,17 @@ def create_agent(
         # Default to REACT agent if provider/model detection fails
         logger.warning(f"Failed to detect model type: {e}. Defaulting to REACT agent.")
         config = get_config_repository().get_all()
-        max_input_tokens = get_model_token_limit(config, agent_type, model)
-        agent_kwargs = build_agent_kwargs(checkpointer, model, max_input_tokens)
+        max_input_tokens = get_model_token_limit(config, agent_type)
+        agent_kwargs = build_agent_kwargs(checkpointer, max_input_tokens)
         return create_react_agent(
             model, tools, interrupt_after=["tools"], **agent_kwargs
         )
 
 
+from ra_aid.agents.research_agent import run_research_agent, run_web_research_agent
+from ra_aid.agents.implementation_agent import run_task_implementation_agent
+
+
 _CONTEXT_STACK = []
 _INTERRUPT_CONTEXT = None
 _FEEDBACK_MODE = False
@@ -279,7 +462,7 @@ def _handle_api_error(e, attempt, max_retries, base_delay):
     logger.warning("API error (attempt %d/%d): %s", attempt + 1, max_retries, str(e))
     delay = base_delay * (2**attempt)
     error_message = f"Encountered {e.__class__.__name__}: {e}. Retrying in {delay}s... (Attempt {attempt+1}/{max_retries})"
-
+    
     # Record error in trajectory
     trajectory_repo = get_trajectory_repository()
     human_input_id = get_human_input_repository().get_most_recent_id()
@@ -291,9 +474,9 @@ def _handle_api_error(e, attempt, max_retries, base_delay):
         record_type="error",
         human_input_id=human_input_id,
         is_error=True,
-        error_message=error_message,
+        error_message=error_message
     )
-
+    
     print_error(error_message)
     start = time.monotonic()
     while time.monotonic() - start < delay:
@@ -454,9 +637,7 @@ def run_agent_with_retry(
 
                 try:
                     _run_agent_stream(agent, msg_list)
-                    if fallback_handler and hasattr(
-                        fallback_handler, "reset_fallback_handler"
-                    ):
+                    if fallback_handler:
                         fallback_handler.reset_fallback_handler()
                     should_break, prompt, auto_test, test_attempts = (
                         _execute_test_command_wrapper(

ra_aid/agents/planning_agent.py

@@ -33,7 +33,6 @@ from ra_aid.logging_config import get_logger
 from ra_aid.model_formatters import format_key_facts_dict
 from ra_aid.model_formatters.key_snippets_formatter import format_key_snippets_dict
 from ra_aid.model_formatters.research_notes_formatter import format_research_notes_dict
-from ra_aid.text.processing import process_thinking_content
 from ra_aid.models_params import models_params
 from ra_aid.project_info import format_project_info, get_project_info
 from ra_aid.prompts.expert_prompts import EXPERT_PROMPT_SECTION_PLANNING
@@ -287,7 +286,7 @@ def run_planning_agent(
                     content = "\n".join(str(item) for item in content)
             elif supports_think_tag or supports_thinking:
                 # Process thinking content using the centralized function
-                content, _ = process_thinking_content(
+                content, _ = agent_utils.process_thinking_content(
                     content=content,
                     supports_think_tag=supports_think_tag,
                     supports_thinking=supports_thinking,

ra_aid/agents/research_agent.py

@@ -34,7 +34,6 @@ from ra_aid.logging_config import get_logger
 from ra_aid.model_formatters import format_key_facts_dict
 from ra_aid.model_formatters.key_snippets_formatter import format_key_snippets_dict
 from ra_aid.model_formatters.research_notes_formatter import format_research_notes_dict
-from ra_aid.text.processing import process_thinking_content
 from ra_aid.models_params import models_params
 from ra_aid.project_info import display_project_status, format_project_info, get_project_info
 from ra_aid.prompts.expert_prompts import EXPERT_PROMPT_SECTION_RESEARCH
@@ -294,7 +293,7 @@ def run_research_agent(
                     content = "\n".join(str(item) for item in content)
             elif supports_think_tag or supports_thinking:
                 # Process thinking content using the centralized function
-                content, _ = process_thinking_content(
+                content, _ = agent_utils.process_thinking_content(
                     content=content,
                     supports_think_tag=supports_think_tag,
                     supports_thinking=supports_thinking,

ra_aid/anthropic_message_utils.py

@@ -1,312 +0,0 @@
-"""Utilities for handling Anthropic-specific message formats and trimming."""
-
-from typing import Callable, List, Literal, Optional, Sequence, Union, cast
-
-from langchain_core.messages import (
-    AIMessage,
-    BaseMessage,
-    ChatMessage,
-    FunctionMessage,
-    HumanMessage,
-    SystemMessage,
-    ToolMessage,
-)
-
-
-def _is_message_type(
-    message: BaseMessage, message_types: Union[str, type, List[Union[str, type]]]
-) -> bool:
-    """Check if a message is of a specific type or types.
-
-    Args:
-        message: The message to check
-        message_types: Type(s) to check against (string name or class)
-
-    Returns:
-        bool: True if message matches any of the specified types
-    """
-    if not isinstance(message_types, list):
-        message_types = [message_types]
-
-    types_str = [t for t in message_types if isinstance(t, str)]
-    types_classes = tuple(t for t in message_types if isinstance(t, type))
-
-    return message.type in types_str or isinstance(message, types_classes)
-
-
-def has_tool_use(message: BaseMessage) -> bool:
-    """Check if a message contains tool use.
-
-    Args:
-        message: The message to check
-
-    Returns:
-        bool: True if the message contains tool use
-    """
-    if not isinstance(message, AIMessage):
-        return False
-
-    # Check content for tool_use
-    if isinstance(message.content, str) and "tool_use" in message.content:
-        return True
-
-    # Check content list for tool_use blocks
-    if isinstance(message.content, list):
-        for item in message.content:
-            if isinstance(item, dict) and item.get("type") == "tool_use":
-                return True
-
-    # Check additional_kwargs for tool_calls
-    if hasattr(message, "additional_kwargs") and message.additional_kwargs.get(
-        "tool_calls"
-    ):
-        return True
-
-    return False
-
-
-def is_tool_pair(message1: BaseMessage, message2: BaseMessage) -> bool:
-    """Check if two messages form a tool use/result pair.
-
-    Args:
-        message1: First message
-        message2: Second message
-
-    Returns:
-        bool: True if the messages form a tool use/result pair
-    """
-    return (
-        isinstance(message1, AIMessage)
-        and isinstance(message2, ToolMessage)
-        and has_tool_use(message1)
-    )
-
-
-
-def anthropic_trim_messages(
-    messages: Sequence[BaseMessage],
-    *,
-    max_tokens: int,
-    token_counter: Callable[[List[BaseMessage]], int],
-    strategy: Literal["first", "last"] = "last",
-    num_messages_to_keep: int = 2,
-    allow_partial: bool = False,
-    include_system: bool = True,
-    start_on: Optional[Union[str, type, List[Union[str, type]]]] = None,
-) -> List[BaseMessage]:
-    """Trim messages to fit within a token limit, with Anthropic-specific handling.
-
-    Warning - not fully implemented - last strategy is supported and test, not
-    allow partial, not 'first' strategy either.
-    This function is similar to langchain_core's trim_messages but with special
-    handling for Anthropic message formats to avoid API errors.
-
-    It always keeps the first num_messages_to_keep messages.
-
-    Args:
-        messages: Sequence of messages to trim
-        max_tokens: Maximum number of tokens allowed
-        token_counter: Function to count tokens in messages
-        strategy: Whether to keep the "first" or "last" messages
-        allow_partial: Whether to allow partial messages
-        include_system: Whether to always include the system message
-        start_on: Message type to start on (only for "last" strategy)
-
-    Returns:
-        List[BaseMessage]: Trimmed messages that fit within token limit
-    """
-    if not messages:
-        return []
-
-    messages = list(messages)
-
-    # Always keep the first num_messages_to_keep messages
-    kept_messages = messages[:num_messages_to_keep]
-    remaining_msgs = messages[num_messages_to_keep:]
-
-
-    # For Anthropic, we need to maintain the conversation structure where:
-    # 1. Every AIMessage with tool_use must be followed by a ToolMessage
-    # 2. Every AIMessage that follows a ToolMessage must start with a tool_result
-
-    # First, check if we have any tool_use in the messages
-    has_tool_use_anywhere = any(has_tool_use(msg) for msg in messages)
-
-    # If we have tool_use anywhere, we need to be very careful about trimming
-    if has_tool_use_anywhere:
-        # For safety, just keep all messages if we're under the token limit
-        if token_counter(messages) <= max_tokens:
-            return messages
-
-        # We need to identify all tool_use/tool_result relationships
-        # First, find all AIMessage+ToolMessage pairs
-        pairs = []
-        i = 0
-        while i < len(messages) - 1:
-            if is_tool_pair(messages[i], messages[i + 1]):
-                pairs.append((i, i + 1))
-                i += 2
-            else:
-                i += 1
-
-        # For Anthropic, we need to ensure that:
-        # 1. If we include an AIMessage with tool_use, we must include the following ToolMessage
-        # 2. If we include a ToolMessage, we must include the preceding AIMessage with tool_use
-
-        # The safest approach is to always keep complete AIMessage+ToolMessage pairs together
-        # First, identify all complete pairs
-        complete_pairs = []
-        for start, end in pairs:
-            complete_pairs.append((start, end))
-
-        # Now we'll build our result, starting with the kept_messages
-        # But we need to be careful about the first message if it has tool_use
-        result = []
-
-        # Check if the last message in kept_messages has tool_use
-        if (
-            kept_messages
-            and isinstance(kept_messages[-1], AIMessage)
-            and has_tool_use(kept_messages[-1])
-        ):
-            # We need to find the corresponding ToolMessage
-            for i, (ai_idx, tool_idx) in enumerate(pairs):
-                if messages[ai_idx] is kept_messages[-1]:
-                    # Found the pair, add all kept_messages except the last one
-                    result.extend(kept_messages[:-1])
-                    # Add the AIMessage and ToolMessage as a pair
-                    result.extend([messages[ai_idx], messages[tool_idx]])
-                    # Remove this pair from the list of pairs to process later
-                    pairs = pairs[:i] + pairs[i + 1 :]
-                    break
-            else:
-                # If we didn't find a matching pair, just add all kept_messages
-                result.extend(kept_messages)
-        else:
-            # No tool_use in the last kept message, just add all kept_messages
-            result.extend(kept_messages)
-
-        # If we're using the "last" strategy, we'll try to include pairs from the end
-        if strategy == "last":
-            # First collect all pairs we can include within the token limit
-            pairs_to_include = []
-
-            # Process pairs from the end (newest first)
-            for pair_idx, (ai_idx, tool_idx) in enumerate(reversed(complete_pairs)):
-                # Try adding this pair
-                test_msgs = result.copy()
-
-                # Add all previously selected pairs
-                for prev_ai_idx, prev_tool_idx in pairs_to_include:
-                    test_msgs.extend([messages[prev_ai_idx], messages[prev_tool_idx]])
-
-                # Add this pair
-                test_msgs.extend([messages[ai_idx], messages[tool_idx]])
-
-                if token_counter(test_msgs) <= max_tokens:
-                    # This pair fits, add it to our list
-                    pairs_to_include.append((ai_idx, tool_idx))
-                else:
-                    # This pair would exceed the token limit
-                    break
-
-            # Now add the pairs in the correct order
-            # Sort by index to maintain the original conversation flow
-            pairs_to_include.sort(key=lambda x: x[0])
-            for ai_idx, tool_idx in pairs_to_include:
-                result.extend([messages[ai_idx], messages[tool_idx]])
-
-        # No need to sort - we've already added messages in the correct order
-
-        return result
-
-    # If no tool_use, proceed with normal segmentation
-    segments = []
-    i = 0
-
-    # Group messages into segments
-    while i < len(remaining_msgs):
-        segments.append([remaining_msgs[i]])
-        i += 1
-
-    # Now we have segments that maintain the required structure
-    # We'll add segments from the end (for "last" strategy) or beginning (for "first")
-    # until we hit the token limit
-
-    if strategy == "last":
-        # If we have no segments, just return kept_messages
-        if not segments:
-            return kept_messages
-
-        result = []
-
-        # Process segments from the end
-        for i, segment in enumerate(reversed(segments)):
-            # Try adding this segment
-            test_msgs = segment + result
-
-            if token_counter(kept_messages + test_msgs) <= max_tokens:
-                result = segment + result
-            else:
-                # This segment would exceed the token limit
-                break
-
-        final_result = kept_messages + result
-
-        # For Anthropic, we need to ensure the conversation follows a valid structure
-        # We'll do a final check of the entire conversation
-
-        # Validate the conversation structure
-        valid_result = []
-        i = 0
-
-        # Process messages in order
-        while i < len(final_result):
-            current_msg = final_result[i]
-
-            # If this is an AIMessage with tool_use, it must be followed by a ToolMessage
-            if (
-                i < len(final_result) - 1
-                and isinstance(current_msg, AIMessage)
-                and has_tool_use(current_msg)
-            ):
-                if isinstance(final_result[i + 1], ToolMessage):
-                    # This is a valid tool_use + tool_result pair
-                    valid_result.append(current_msg)
-                    valid_result.append(final_result[i + 1])
-                    i += 2
-                else:
-                    # Invalid: AIMessage with tool_use not followed by ToolMessage
-                    # Skip this message to maintain valid structure
-                    i += 1
-            else:
-                # Regular message, just add it
-                valid_result.append(current_msg)
-                i += 1
-
-        # Final check: don't end with an AIMessage that has tool_use
-        if (
-            valid_result
-            and isinstance(valid_result[-1], AIMessage)
-            and has_tool_use(valid_result[-1])
-        ):
-            valid_result.pop()  # Remove the last message
-
-        return valid_result
-
-    elif strategy == "first":
-        result = []
-
-        # Process segments from the beginning
-        for i, segment in enumerate(segments):
-            # Try adding this segment
-            test_msgs = result + segment
-            if token_counter(kept_messages + test_msgs) <= max_tokens:
-                result = result + segment
-            else:
-                # This segment would exceed the token limit
-                break
-
-        final_result = kept_messages + result
-
-        return final_result

ra_aid/anthropic_token_limiter.py

@@ -1,303 +0,0 @@
-"""Utilities for handling token limits with Anthropic models."""
-
-from functools import partial
-from typing import Any, Dict, List, Optional, Sequence, Tuple
-from langchain_core.language_models import BaseChatModel
-from ra_aid.config import DEFAULT_MODEL
-from ra_aid.model_detection import is_claude_37
-
-from langchain_core.messages import (
-    BaseMessage,
-    trim_messages,
-)
-from langchain_core.messages.base import message_to_dict
-
-from ra_aid.anthropic_message_utils import (
-    anthropic_trim_messages,
-)
-from langgraph.prebuilt.chat_agent_executor import AgentState
-from litellm import token_counter, get_model_info
-
-from ra_aid.agent_backends.ciayn_agent import CiaynAgent
-from ra_aid.database.repositories.config_repository import get_config_repository
-from ra_aid.logging_config import get_logger
-from ra_aid.models_params import DEFAULT_TOKEN_LIMIT, models_params
-
-logger = get_logger(__name__)
-
-
-def estimate_messages_tokens(messages: Sequence[BaseMessage]) -> int:
-    """Helper function to estimate total tokens in a sequence of messages.
-
-    Args:
-        messages: Sequence of messages to count tokens for
-
-    Returns:
-        Total estimated token count
-    """
-    if not messages:
-        return 0
-
-    estimate_tokens = CiaynAgent._estimate_tokens
-    return sum(estimate_tokens(msg) for msg in messages)
-
-
-def convert_message_to_litellm_format(message: BaseMessage) -> Dict:
-    """Convert a BaseMessage to the format expected by litellm.
-
-    Args:
-        message: The BaseMessage to convert
-
-    Returns:
-        Dict in litellm format
-    """
-    message_dict = message_to_dict(message)
-    return {
-        "role": message_dict["type"],
-        "content": message_dict["data"]["content"],
-    }
-
-
-def create_token_counter_wrapper(model: str):
-    """Create a wrapper for token counter that handles BaseMessage conversion.
-
-    Args:
-        model: The model name to use for token counting
-
-    Returns:
-        A function that accepts BaseMessage objects and returns token count
-    """
-
-    # Create a partial function that already has the model parameter set
-    base_token_counter = partial(token_counter, model=model)
-
-    def wrapped_token_counter(messages: List[BaseMessage]) -> int:
-        """Count tokens in a list of messages, converting BaseMessage to dict for litellm token counter usage.
-
-        Args:
-            messages: List of BaseMessage objects
-
-        Returns:
-            Token count for the messages
-        """
-        if not messages:
-            return 0
-
-        litellm_messages = [convert_message_to_litellm_format(msg) for msg in messages]
-        result = base_token_counter(messages=litellm_messages)
-        return result
-
-    return wrapped_token_counter
-
-
-def state_modifier(
-    state: AgentState, model: BaseChatModel, max_input_tokens: int = DEFAULT_TOKEN_LIMIT
-) -> list[BaseMessage]:
-    """Given the agent state and max_tokens, return a trimmed list of messages.
-
-    This uses anthropic_trim_messages which always keeps the first 2 messages.
-
-    Args:
-        state: The current agent state containing messages
-        model: The language model to use for token counting
-        max_input_tokens: Maximum number of tokens to allow (default: DEFAULT_TOKEN_LIMIT)
-
-    Returns:
-        list[BaseMessage]: Trimmed list of messages that fits within token limit
-    """
-
-    messages = state["messages"]
-    if not messages:
-        return []
-
-    model_name = get_model_name_from_chat_model(model)
-    wrapped_token_counter = create_token_counter_wrapper(model_name)
-
-    result = anthropic_trim_messages(
-        messages,
-        token_counter=wrapped_token_counter,
-        max_tokens=max_input_tokens,
-        strategy="last",
-        allow_partial=False,
-        include_system=True,
-        num_messages_to_keep=2,
-    )
-
-    if len(result) < len(messages):
-        logger.info(
-            f"Anthropic Token Limiter Trimmed: {len(messages)} messages → {len(result)} messages"
-        )
-
-    return result
-
-
-def sonnet_35_state_modifier(
-    state: AgentState, max_input_tokens: int = DEFAULT_TOKEN_LIMIT
-) -> list[BaseMessage]:
-    """Given the agent state and max_tokens, return a trimmed list of messages.
-
-    Args:
-        state: The current agent state containing messages
-        max_tokens: Maximum number of tokens to allow (default: DEFAULT_TOKEN_LIMIT)
-
-    Returns:
-        list[BaseMessage]: Trimmed list of messages that fits within token limit
-    """
-    messages = state["messages"]
-
-    if not messages:
-        return []
-
-    first_message = messages[0]
-    remaining_messages = messages[1:]
-    first_tokens = estimate_messages_tokens([first_message])
-    new_max_tokens = max_input_tokens - first_tokens
-
-    trimmed_remaining = trim_messages(
-        remaining_messages,
-        token_counter=estimate_messages_tokens,
-        max_tokens=new_max_tokens,
-        strategy="last",
-        allow_partial=False,
-        include_system=True,
-    )
-
-    result = [first_message] + trimmed_remaining
-
-    return result
-
-
-def get_provider_and_model_for_agent_type(
-    config: Dict[str, Any], agent_type: str
-) -> Tuple[str, str]:
-    """Get the provider and model name for the specified agent type.
-
-    Args:
-        config: Configuration dictionary containing provider and model information
-        agent_type: Type of agent ("default", "research", or "planner")
-
-    Returns:
-        Tuple[str, str]: A tuple containing (provider, model_name)
-    """
-    if agent_type == "research":
-        provider = config.get("research_provider", "") or config.get("provider", "")
-        model_name = config.get("research_model", "") or config.get("model", "")
-    elif agent_type == "planner":
-        provider = config.get("planner_provider", "") or config.get("provider", "")
-        model_name = config.get("planner_model", "") or config.get("model", "")
-    else:
-        provider = config.get("provider", "")
-        model_name = config.get("model", "")
-
-    return provider, model_name
-
-
-def get_model_name_from_chat_model(model: Optional[BaseChatModel]) -> str:
-    """Extract the model name from a BaseChatModel instance.
-
-    Args:
-        model: The BaseChatModel instance
-
-    Returns:
-        str: The model name extracted from the instance, or DEFAULT_MODEL if not found
-    """
-    if model is None:
-        return DEFAULT_MODEL
-
-    if hasattr(model, "model"):
-        return model.model
-    elif hasattr(model, "model_name"):
-        return model.model_name
-    else:
-        logger.debug(f"Could not extract model name from {model}, using DEFAULT_MODEL")
-        return DEFAULT_MODEL
-
-
-def adjust_claude_37_token_limit(
-    max_input_tokens: int, model: Optional[BaseChatModel]
-) -> Optional[int]:
-    """Adjust token limit for Claude 3.7 models by subtracting max_tokens.
-
-    Args:
-        max_input_tokens: The original token limit
-        model: The model instance to check
-
-    Returns:
-        Optional[int]: Adjusted token limit if model is Claude 3.7, otherwise original limit
-    """
-    if not max_input_tokens:
-        return max_input_tokens
-
-    if model and hasattr(model, "model") and is_claude_37(model.model):
-        if hasattr(model, "max_tokens") and model.max_tokens:
-            effective_max_input_tokens = max_input_tokens - model.max_tokens
-            logger.debug(
-                f"Adjusting token limit for Claude 3.7 model: {max_input_tokens} - {model.max_tokens} = {effective_max_input_tokens}"
-            )
-            return effective_max_input_tokens
-
-    return max_input_tokens
-
-
-def get_model_token_limit(
-    config: Dict[str, Any],
-    agent_type: str = "default",
-    model: Optional[BaseChatModel] = None,
-) -> Optional[int]:
-    """Get the token limit for the current model configuration based on agent type.
-
-    Args:
-        config: Configuration dictionary containing provider and model information
-        agent_type: Type of agent ("default", "research", or "planner")
-        model: Optional BaseChatModel instance to check for model-specific attributes
-
-    Returns:
-        Optional[int]: The token limit if found, None otherwise
-    """
-    try:
-        # Try to get config from repository for production use
-        try:
-            config_from_repo = get_config_repository().get_all()
-            # If we succeeded, use the repository config instead of passed config
-            config = config_from_repo
-        except RuntimeError:
-            # In tests, this may fail because the repository isn't set up
-            # So we'll use the passed config directly
-            pass
-
-        provider, model_name = get_provider_and_model_for_agent_type(config, agent_type)
-
-        # Always attempt to get model info from litellm first
-        provider_model = model_name if not provider else f"{provider}/{model_name}"
-
-        try:
-            model_info = get_model_info(provider_model)
-            max_input_tokens = model_info.get("max_input_tokens")
-            if max_input_tokens:
-                logger.debug(
-                    f"Using litellm token limit for {model_name}: {max_input_tokens}"
-                )
-                return adjust_claude_37_token_limit(max_input_tokens, model)
-        except Exception as e:
-            logger.debug(
-                f"Error getting model info from litellm: {e}, falling back to models_params"
-            )
-
-        # Fallback to models_params dict
-        # Normalize model name for fallback lookup (e.g. claude-2 -> claude2)
-        normalized_name = model_name.replace("-", "")
-        provider_tokens = models_params.get(provider, {})
-        if normalized_name in provider_tokens:
-            max_input_tokens = provider_tokens[normalized_name]["token_limit"]
-            logger.debug(
-                f"Found token limit for {provider}/{model_name}: {max_input_tokens}"
-            )
-        else:
-            max_input_tokens = None
-            logger.debug(f"Could not find token limit for {provider}/{model_name}")
-
-        return adjust_claude_37_token_limit(max_input_tokens, model)
-
-    except Exception as e:
-        logger.warning(f"Failed to get model token limit: {e}")
-        return None

ra_aid/config.py

@@ -6,8 +6,6 @@ DEFAULT_MAX_TOOL_FAILURES = 3
 FALLBACK_TOOL_MODEL_LIMIT = 5
 RETRY_FALLBACK_COUNT = 3
 DEFAULT_TEST_CMD_TIMEOUT = 60 * 5  # 5 minutes in seconds
-DEFAULT_MODEL="claude-3-7-sonnet-20250219"
-DEFAULT_SHOW_COST = False
 
 
 VALID_PROVIDERS = [

ra_aid/console/output.py

@@ -1,23 +1,19 @@
-from typing import Any, Dict, List, Literal, Optional, Sequence
+from typing import Any, Dict, Literal, Optional
 
-from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
+from langchain_core.messages import AIMessage
 from rich.markdown import Markdown
 from rich.panel import Panel
 
 from ra_aid.exceptions import ToolExecutionError
 from ra_aid.callbacks.anthropic_callback_handler import AnthropicCallbackHandler
-from ra_aid.database.repositories.config_repository import get_config_repository
-from ra_aid.config import DEFAULT_SHOW_COST
 
 # Import shared console instance
 from .formatting import console
 
 
 def get_cost_subtitle(cost_cb: Optional[AnthropicCallbackHandler]) -> Optional[str]:
-    """Generate a subtitle with cost information if a callback is provided and show_cost is enabled."""
-    # Only show cost information if both cost_cb is provided AND show_cost is True
-    show_cost = get_config_repository().get("show_cost", DEFAULT_SHOW_COST)
-    if cost_cb and show_cost:
+    """Generate a subtitle with cost information if a callback is provided."""
+    if cost_cb:
         return f"Cost: ${cost_cb.total_cost:.6f} | Tokens: {cost_cb.total_tokens}"
     return None
 
@@ -98,57 +94,3 @@ def cpm(message: str, title: Optional[str] = None, border_style: str = "blue") -
     """
 
     console.print(Panel(Markdown(message), title=title, border_style=border_style))
-
-
-def print_messages_compact(messages: Sequence[BaseMessage]) -> None:
-    """Print a compact representation of a list of messages.
-
-    Warning: Used mainly for debugging purposes so do not delete if not referenced anywhere!
-    For all message types, only the first 30 characters of content are shown.
-
-    Args:
-        messages: A sequence of BaseMessage objects to print
-    """
-    if not messages:
-        console.print("[italic]No messages[/italic]")
-        return
-
-    for i, msg in enumerate(messages):
-        msg_type = msg.__class__.__name__
-        content = msg.content
-        
-        # Process content based on its type
-        if isinstance(content, str):
-            display_content = f"{content[:30]}..." if len(content) > 30 else content
-        elif isinstance(content, list):
-            # Handle structured content (list of content blocks)
-            content_preview = []
-            for item in content[:2]:  # Show first 2 items at most
-                if isinstance(item, dict):
-                    if item.get("type") == "text":
-                        text = item.get("text", "")
-                        content_preview.append(f"text: {text[:20]}..." if len(text) > 20 else f"text: {text}")
-                    elif item.get("type") == "tool_call":
-                        tool_name = item.get("tool_call", {}).get("name", "unknown")
-                        content_preview.append(f"tool_call: {tool_name}")
-                    else:
-                        content_preview.append(f"{item.get('type', 'unknown')}")
-            
-            if len(content) > 2:
-                content_preview.append(f"...({len(content)-2} more)")
-                
-            display_content = ", ".join(content_preview)
-        else:
-            display_content = str(content)[:30] + "..." if len(str(content)) > 30 else str(content)
-
-        # Add additional tool message info if available
-        additional_info = []
-        if hasattr(msg, "tool_call_id") and msg.tool_call_id:
-            additional_info.append(f"tool_call_id: {msg.tool_call_id}")
-        if hasattr(msg, "name") and msg.name:
-            additional_info.append(f"name: {msg.name}")
-        if hasattr(msg, "status") and msg.status:
-            additional_info.append(f"status: {msg.status}")
-            
-        info_str = f" ({', '.join(additional_info)})" if additional_info else ""
-        console.print(f"[{i}] [bold]{msg_type}{info_str}[/bold]: {display_content}")

ra_aid/database/models.py

@@ -42,8 +42,8 @@ def initialize_database():
     # to avoid circular imports
     # Note: This import needs to be here, not at the top level
     try:
-        from ra_aid.database.models import KeyFact, KeySnippet, HumanInput, ResearchNote, Trajectory, Session
-        db.create_tables([KeyFact, KeySnippet, HumanInput, ResearchNote, Trajectory, Session], safe=True)
+        from ra_aid.database.models import KeyFact, KeySnippet, HumanInput, ResearchNote, Trajectory
+        db.create_tables([KeyFact, KeySnippet, HumanInput, ResearchNote, Trajectory], safe=True)
         logger.debug("Ensured database tables exist")
     except Exception as e:
         logger.error(f"Error creating tables: {str(e)}")
@@ -99,25 +99,6 @@ class BaseModel(peewee.Model):
             raise
 
 
-class Session(BaseModel):
-    """
-    Model representing a session stored in the database.
-    
-    Sessions track information about each program run, providing a way to group
-    related records like human inputs, trajectories, and key facts.
-    
-    Each session record captures details about when the program was started,
-    what command line arguments were used, and environment information.
-    """
-    start_time = peewee.DateTimeField(default=datetime.datetime.now)
-    command_line = peewee.TextField(null=True)
-    program_version = peewee.TextField(null=True)
-    machine_info = peewee.TextField(null=True)  # JSON-encoded machine information
-    
-    class Meta:
-        table_name = "session"
-
-
 class HumanInput(BaseModel):
     """
     Model representing human input stored in the database.
@@ -128,7 +109,6 @@ class HumanInput(BaseModel):
     """
     content = peewee.TextField()
     source = peewee.TextField()  # 'cli', 'chat', or 'hil'
-    session = peewee.ForeignKeyField(Session, backref='human_inputs', null=True)
     # created_at and updated_at are inherited from BaseModel
     
     class Meta:
@@ -144,7 +124,6 @@ class KeyFact(BaseModel):
     """
     content = peewee.TextField()
     human_input = peewee.ForeignKeyField(HumanInput, backref='key_facts', null=True)
-    session = peewee.ForeignKeyField(Session, backref='key_facts', null=True)
     # created_at and updated_at are inherited from BaseModel
     
     class Meta:
@@ -164,7 +143,6 @@ class KeySnippet(BaseModel):
     snippet = peewee.TextField()
     description = peewee.TextField(null=True)
     human_input = peewee.ForeignKeyField(HumanInput, backref='key_snippets', null=True)
-    session = peewee.ForeignKeyField(Session, backref='key_snippets', null=True)
     # created_at and updated_at are inherited from BaseModel
     
     class Meta:
@@ -181,7 +159,6 @@ class ResearchNote(BaseModel):
     """
     content = peewee.TextField()
     human_input = peewee.ForeignKeyField(HumanInput, backref='research_notes', null=True)
-    session = peewee.ForeignKeyField(Session, backref='research_notes', null=True)
     # created_at and updated_at are inherited from BaseModel
     
     class Meta:
@@ -216,7 +193,6 @@ class Trajectory(BaseModel):
     error_message = peewee.TextField(null=True)  # The error message
     error_type = peewee.TextField(null=True)  # The type/class of the error
     error_details = peewee.TextField(null=True)  # Additional error details like stack traces or context
-    session = peewee.ForeignKeyField(Session, backref='trajectories', null=True)
     # created_at and updated_at are inherited from BaseModel
     
     class Meta:

ra_aid/database/pydantic_models.py

@@ -1,376 +0,0 @@
-"""
-Pydantic models for ra_aid database entities.
-
-This module defines Pydantic models that correspond to Peewee ORM models,
-providing validation, serialization, and deserialization capabilities.
-"""
-
-import datetime
-import json
-from typing import Dict, List, Any, Optional
-
-from pydantic import BaseModel, ConfigDict, field_serializer, field_validator
-
-
-class SessionModel(BaseModel):
-    """
-    Pydantic model representing a Session.
-    
-    This model corresponds to the Session Peewee ORM model and provides
-    validation and serialization capabilities. It handles the conversion
-    between JSON-encoded strings and Python dictionaries for the machine_info field.
-    
-    Attributes:
-        id: Unique identifier for the session
-        created_at: When the session record was created
-        updated_at: When the session record was last updated
-        start_time: When the program session started
-        command_line: Command line arguments used to start the program
-        program_version: Version of the program
-        machine_info: Dictionary containing machine-specific metadata
-    """
-    id: Optional[int] = None
-    created_at: datetime.datetime
-    updated_at: datetime.datetime
-    start_time: datetime.datetime
-    command_line: Optional[str] = None
-    program_version: Optional[str] = None
-    machine_info: Optional[Dict[str, Any]] = None
-    
-    # Configure the model to work with ORM objects
-    model_config = ConfigDict(from_attributes=True)
-    
-    @field_validator("machine_info", mode="before")
-    @classmethod
-    def parse_machine_info(cls, value: Any) -> Optional[Dict[str, Any]]:
-        """
-        Parse the machine_info field from a JSON string to a dictionary.
-        
-        Args:
-            value: The value to parse, can be a string, dict, or None
-            
-        Returns:
-            Optional[Dict[str, Any]]: The parsed dictionary or None
-            
-        Raises:
-            ValueError: If the JSON string is invalid
-        """
-        if value is None:
-            return None
-        
-        if isinstance(value, dict):
-            return value
-            
-        if isinstance(value, str):
-            try:
-                return json.loads(value)
-            except json.JSONDecodeError as e:
-                raise ValueError(f"Invalid JSON in machine_info: {e}")
-        
-        raise ValueError(f"Unexpected type for machine_info: {type(value)}")
-    
-    @field_serializer("machine_info")
-    def serialize_machine_info(self, machine_info: Optional[Dict[str, Any]]) -> Optional[str]:
-        """
-        Serialize the machine_info dictionary to a JSON string for storage.
-        
-        Args:
-            machine_info: Dictionary to serialize
-            
-        Returns:
-            Optional[str]: JSON-encoded string or None
-        """
-        if machine_info is None:
-            return None
-        
-        return json.dumps(machine_info)
-
-
-class HumanInputModel(BaseModel):
-    """
-    Pydantic model representing a HumanInput.
-    
-    This model corresponds to the HumanInput Peewee ORM model and provides
-    validation and serialization capabilities.
-    
-    Attributes:
-        id: Unique identifier for the human input
-        created_at: When the record was created
-        updated_at: When the record was last updated
-        content: The text content of the input
-        source: The source of the input ('cli', 'chat', or 'hil')
-        session_id: Optional reference to the associated session
-    """
-    id: Optional[int] = None
-    created_at: datetime.datetime
-    updated_at: datetime.datetime
-    content: str
-    source: str
-    session_id: Optional[int] = None
-    
-    # Configure the model to work with ORM objects
-    model_config = ConfigDict(from_attributes=True)
-
-
-class KeyFactModel(BaseModel):
-    """
-    Pydantic model representing a KeyFact.
-    
-    This model corresponds to the KeyFact Peewee ORM model and provides
-    validation and serialization capabilities.
-    
-    Attributes:
-        id: Unique identifier for the key fact
-        created_at: When the record was created
-        updated_at: When the record was last updated
-        content: The text content of the key fact
-        human_input_id: Optional reference to the associated human input
-        session_id: Optional reference to the associated session
-    """
-    id: Optional[int] = None
-    created_at: datetime.datetime
-    updated_at: datetime.datetime
-    content: str
-    human_input_id: Optional[int] = None
-    session_id: Optional[int] = None
-    
-    # Configure the model to work with ORM objects
-    model_config = ConfigDict(from_attributes=True)
-
-
-class KeySnippetModel(BaseModel):
-    """
-    Pydantic model representing a KeySnippet.
-    
-    This model corresponds to the KeySnippet Peewee ORM model and provides
-    validation and serialization capabilities.
-    
-    Attributes:
-        id: Unique identifier for the key snippet
-        created_at: When the record was created
-        updated_at: When the record was last updated
-        filepath: Path to the source file
-        line_number: Line number where the snippet starts
-        snippet: The source code snippet text
-        description: Optional description of the significance
-        human_input_id: Optional reference to the associated human input
-        session_id: Optional reference to the associated session
-    """
-    id: Optional[int] = None
-    created_at: datetime.datetime
-    updated_at: datetime.datetime
-    filepath: str
-    line_number: int
-    snippet: str
-    description: Optional[str] = None
-    human_input_id: Optional[int] = None
-    session_id: Optional[int] = None
-    
-    # Configure the model to work with ORM objects
-    model_config = ConfigDict(from_attributes=True)
-
-
-class ResearchNoteModel(BaseModel):
-    """
-    Pydantic model representing a ResearchNote.
-    
-    This model corresponds to the ResearchNote Peewee ORM model and provides
-    validation and serialization capabilities.
-    
-    Attributes:
-        id: Unique identifier for the research note
-        created_at: When the record was created
-        updated_at: When the record was last updated
-        content: The text content of the research note
-        human_input_id: Optional reference to the associated human input
-        session_id: Optional reference to the associated session
-    """
-    id: Optional[int] = None
-    created_at: datetime.datetime
-    updated_at: datetime.datetime
-    content: str
-    human_input_id: Optional[int] = None
-    session_id: Optional[int] = None
-    
-    # Configure the model to work with ORM objects
-    model_config = ConfigDict(from_attributes=True)
-
-
-class TrajectoryModel(BaseModel):
-    """
-    Pydantic model representing a Trajectory.
-    
-    This model corresponds to the Trajectory Peewee ORM model and provides
-    validation and serialization capabilities. It handles the conversion
-    between JSON-encoded strings and Python dictionaries for the tool_parameters,
-    tool_result, and step_data fields.
-    
-    Attributes:
-        id: Unique identifier for the trajectory
-        created_at: When the record was created
-        updated_at: When the record was last updated
-        human_input_id: Optional reference to the associated human input
-        tool_name: Name of the tool that was executed
-        tool_parameters: Dictionary containing the parameters passed to the tool
-        tool_result: Dictionary containing the result returned by the tool
-        step_data: Dictionary containing UI rendering data
-        record_type: Type of trajectory record
-        cost: Optional cost of the tool execution
-        tokens: Optional token usage of the tool execution
-        is_error: Flag indicating if this record represents an error
-        error_message: The error message if is_error is True
-        error_type: The type/class of the error if is_error is True
-        error_details: Additional error details if is_error is True
-        session_id: Optional reference to the associated session
-    """
-    id: Optional[int] = None
-    created_at: datetime.datetime
-    updated_at: datetime.datetime
-    human_input_id: Optional[int] = None
-    tool_name: Optional[str] = None
-    tool_parameters: Optional[Dict[str, Any]] = None
-    tool_result: Optional[Any] = None
-    step_data: Optional[Dict[str, Any]] = None
-    record_type: Optional[str] = None
-    cost: Optional[float] = None
-    tokens: Optional[int] = None
-    is_error: bool = False
-    error_message: Optional[str] = None
-    error_type: Optional[str] = None
-    error_details: Optional[str] = None
-    session_id: Optional[int] = None
-    
-    # Configure the model to work with ORM objects
-    model_config = ConfigDict(from_attributes=True)
-    
-    @field_validator("tool_parameters", mode="before")
-    @classmethod
-    def parse_tool_parameters(cls, value: Any) -> Optional[Dict[str, Any]]:
-        """
-        Parse the tool_parameters field from a JSON string to a dictionary.
-        
-        Args:
-            value: The value to parse, can be a string, dict, or None
-            
-        Returns:
-            Optional[Dict[str, Any]]: The parsed dictionary or None
-            
-        Raises:
-            ValueError: If the JSON string is invalid
-        """
-        if value is None:
-            return None
-        
-        if isinstance(value, dict):
-            return value
-            
-        if isinstance(value, str):
-            try:
-                return json.loads(value)
-            except json.JSONDecodeError as e:
-                raise ValueError(f"Invalid JSON in tool_parameters: {e}")
-        
-        raise ValueError(f"Unexpected type for tool_parameters: {type(value)}")
-    
-    @field_validator("tool_result", mode="before")
-    @classmethod
-    def parse_tool_result(cls, value: Any) -> Optional[Any]:
-        """
-        Parse the tool_result field from a JSON string to a Python object.
-        
-        Args:
-            value: The value to parse, can be a string, dict, list, or None
-            
-        Returns:
-            Optional[Any]: The parsed object or None
-            
-        Raises:
-            ValueError: If the JSON string is invalid
-        """
-        if value is None:
-            return None
-        
-        if not isinstance(value, str):
-            return value
-            
-        try:
-            return json.loads(value)
-        except json.JSONDecodeError as e:
-            raise ValueError(f"Invalid JSON in tool_result: {e}")
-    
-    @field_validator("step_data", mode="before")
-    @classmethod
-    def parse_step_data(cls, value: Any) -> Optional[Dict[str, Any]]:
-        """
-        Parse the step_data field from a JSON string to a dictionary.
-        
-        Args:
-            value: The value to parse, can be a string, dict, or None
-            
-        Returns:
-            Optional[Dict[str, Any]]: The parsed dictionary or None
-            
-        Raises:
-            ValueError: If the JSON string is invalid
-        """
-        if value is None:
-            return None
-        
-        if isinstance(value, dict):
-            return value
-            
-        if isinstance(value, str):
-            try:
-                return json.loads(value)
-            except json.JSONDecodeError as e:
-                raise ValueError(f"Invalid JSON in step_data: {e}")
-        
-        raise ValueError(f"Unexpected type for step_data: {type(value)}")
-    
-    @field_serializer("tool_parameters")
-    def serialize_tool_parameters(self, tool_parameters: Optional[Dict[str, Any]]) -> Optional[str]:
-        """
-        Serialize the tool_parameters dictionary to a JSON string for storage.
-        
-        Args:
-            tool_parameters: Dictionary to serialize
-            
-        Returns:
-            Optional[str]: JSON-encoded string or None
-        """
-        if tool_parameters is None:
-            return None
-        
-        return json.dumps(tool_parameters)
-    
-    @field_serializer("tool_result")
-    def serialize_tool_result(self, tool_result: Optional[Any]) -> Optional[str]:
-        """
-        Serialize the tool_result object to a JSON string for storage.
-        
-        Args:
-            tool_result: Object to serialize
-            
-        Returns:
-            Optional[str]: JSON-encoded string or None
-        """
-        if tool_result is None:
-            return None
-        
-        return json.dumps(tool_result)
-    
-    @field_serializer("step_data")
-    def serialize_step_data(self, step_data: Optional[Dict[str, Any]]) -> Optional[str]:
-        """
-        Serialize the step_data dictionary to a JSON string for storage.
-        
-        Args:
-            step_data: Dictionary to serialize
-            
-        Returns:
-            Optional[str]: JSON-encoded string or None
-        """
-        if step_data is None:
-            return None
-        
-        return json.dumps(step_data)

ra_aid/database/repositories/config_repository.py

@@ -32,7 +32,6 @@ class ConfigRepository:
             FALLBACK_TOOL_MODEL_LIMIT,
             RETRY_FALLBACK_COUNT,
             DEFAULT_TEST_CMD_TIMEOUT,
-            DEFAULT_SHOW_COST,
             VALID_PROVIDERS,
         )
         
@@ -43,7 +42,6 @@ class ConfigRepository:
             "fallback_tool_model_limit": FALLBACK_TOOL_MODEL_LIMIT,
             "retry_fallback_count": RETRY_FALLBACK_COUNT,
             "test_cmd_timeout": DEFAULT_TEST_CMD_TIMEOUT,
-            "show_cost": DEFAULT_SHOW_COST,
             "valid_providers": VALID_PROVIDERS,
         }
         

ra_aid/database/repositories/human_input_repository.py

@@ -11,7 +11,6 @@ import contextvars
 import peewee
 
 from ra_aid.database.models import HumanInput
-from ra_aid.database.pydantic_models import HumanInputModel
 from ra_aid.logging_config import get_logger
 
 logger = get_logger(__name__)
@@ -119,23 +118,8 @@ class HumanInputRepository:
         if db is None:
             raise ValueError("Database connection is required for HumanInputRepository")
         self.db = db
-        
-    def _to_model(self, human_input: Optional[HumanInput]) -> Optional[HumanInputModel]:
-        """
-        Convert a Peewee HumanInput object to a Pydantic HumanInputModel.
-        
-        Args:
-            human_input: Peewee HumanInput instance or None
-            
-        Returns:
-            Optional[HumanInputModel]: Pydantic model representation or None if human_input is None
-        """
-        if human_input is None:
-            return None
-        
-        return HumanInputModel.model_validate(human_input, from_attributes=True)
     
-    def create(self, content: str, source: str) -> HumanInputModel:
+    def create(self, content: str, source: str) -> HumanInput:
         """
         Create a new human input record in the database.
         
@@ -144,7 +128,7 @@ class HumanInputRepository:
             source: The source of the input (e.g., "cli", "chat", "hil")
             
         Returns:
-            HumanInputModel: The newly created human input instance
+            HumanInput: The newly created human input instance
             
         Raises:
             peewee.DatabaseError: If there's an error creating the record
@@ -152,12 +136,12 @@ class HumanInputRepository:
         try:
             input_record = HumanInput.create(content=content, source=source)
             logger.debug(f"Created human input ID {input_record.id} from {source}")
-            return self._to_model(input_record)
+            return input_record
         except peewee.DatabaseError as e:
             logger.error(f"Failed to create human input record: {str(e)}")
             raise
     
-    def get(self, input_id: int) -> Optional[HumanInputModel]:
+    def get(self, input_id: int) -> Optional[HumanInput]:
         """
         Retrieve a human input record by its ID.
         
@@ -165,19 +149,18 @@ class HumanInputRepository:
             input_id: The ID of the human input to retrieve
             
         Returns:
-            Optional[HumanInputModel]: The human input instance if found, None otherwise
+            Optional[HumanInput]: The human input instance if found, None otherwise
             
         Raises:
             peewee.DatabaseError: If there's an error accessing the database
         """
         try:
-            human_input = HumanInput.get_or_none(HumanInput.id == input_id)
-            return self._to_model(human_input)
+            return HumanInput.get_or_none(HumanInput.id == input_id)
         except peewee.DatabaseError as e:
             logger.error(f"Failed to fetch human input {input_id}: {str(e)}")
             raise
     
-    def update(self, input_id: int, content: str = None, source: str = None) -> Optional[HumanInputModel]:
+    def update(self, input_id: int, content: str = None, source: str = None) -> Optional[HumanInput]:
         """
         Update an existing human input record.
         
@@ -187,14 +170,14 @@ class HumanInputRepository:
             source: The new source for the human input
             
         Returns:
-            Optional[HumanInputModel]: The updated human input if found, None otherwise
+            Optional[HumanInput]: The updated human input if found, None otherwise
             
         Raises:
             peewee.DatabaseError: If there's an error updating the record
         """
         try:
-            # We need to get the raw Peewee object for updating
-            input_record = HumanInput.get_or_none(HumanInput.id == input_id)
+            # First check if the record exists
+            input_record = self.get(input_id)
             if not input_record:
                 logger.warning(f"Attempted to update non-existent human input {input_id}")
                 return None
@@ -207,7 +190,7 @@ class HumanInputRepository:
                 
             input_record.save()
             logger.debug(f"Updated human input ID {input_id}")
-            return self._to_model(input_record)
+            return input_record
         except peewee.DatabaseError as e:
             logger.error(f"Failed to update human input {input_id}: {str(e)}")
             raise
@@ -240,24 +223,23 @@ class HumanInputRepository:
             logger.error(f"Failed to delete human input {input_id}: {str(e)}")
             raise
     
-    def get_all(self) -> List[HumanInputModel]:
+    def get_all(self) -> List[HumanInput]:
         """
         Retrieve all human input records from the database.
         
         Returns:
-            List[HumanInputModel]: List of all human input instances
+            List[HumanInput]: List of all human input instances
             
         Raises:
             peewee.DatabaseError: If there's an error accessing the database
         """
         try:
-            human_inputs = list(HumanInput.select().order_by(HumanInput.created_at.desc()))
-            return [self._to_model(input) for input in human_inputs]
+            return list(HumanInput.select().order_by(HumanInput.created_at.desc()))
         except peewee.DatabaseError as e:
             logger.error(f"Failed to fetch all human inputs: {str(e)}")
             raise
     
-    def get_recent(self, limit: int = 10) -> List[HumanInputModel]:
+    def get_recent(self, limit: int = 10) -> List[HumanInput]:
         """
         Retrieve the most recent human input records.
         
@@ -265,14 +247,13 @@ class HumanInputRepository:
             limit: Maximum number of records to retrieve (default: 10)
             
         Returns:
-            List[HumanInputModel]: List of the most recent human input records
+            List[HumanInput]: List of the most recent human input records
             
         Raises:
             peewee.DatabaseError: If there's an error accessing the database
         """
         try:
-            human_inputs = list(HumanInput.select().order_by(HumanInput.created_at.desc()).limit(limit))
-            return [self._to_model(input) for input in human_inputs]
+            return list(HumanInput.select().order_by(HumanInput.created_at.desc()).limit(limit))
         except peewee.DatabaseError as e:
             logger.error(f"Failed to fetch recent human inputs: {str(e)}")
             raise
@@ -296,7 +277,7 @@ class HumanInputRepository:
             logger.error(f"Failed to fetch most recent human input ID: {str(e)}")
             raise
     
-    def get_by_source(self, source: str) -> List[HumanInputModel]:
+    def get_by_source(self, source: str) -> List[HumanInput]:
         """
         Retrieve human input records by source.
         
@@ -304,14 +285,13 @@ class HumanInputRepository:
             source: The source to filter by (e.g., "cli", "chat", "hil")
             
         Returns:
-            List[HumanInputModel]: List of human input records from the specified source
+            List[HumanInput]: List of human input records from the specified source
             
         Raises:
             peewee.DatabaseError: If there's an error accessing the database
         """
         try:
-            human_inputs = list(HumanInput.select().where(HumanInput.source == source).order_by(HumanInput.created_at.desc()))
-            return [self._to_model(input) for input in human_inputs]
+            return list(HumanInput.select().where(HumanInput.source == source).order_by(HumanInput.created_at.desc()))
         except peewee.DatabaseError as e:
             logger.error(f"Failed to fetch human inputs by source {source}: {str(e)}")
             raise

ra_aid/database/repositories/key_fact_repository.py

@@ -12,7 +12,6 @@ from contextlib import contextmanager
 import peewee
 
 from ra_aid.database.models import KeyFact
-from ra_aid.database.pydantic_models import KeyFactModel
 from ra_aid.logging_config import get_logger
 
 logger = get_logger(__name__)
@@ -121,22 +120,7 @@ class KeyFactRepository:
             raise ValueError("Database connection is required for KeyFactRepository")
         self.db = db
     
-    def _to_model(self, fact: Optional[KeyFact]) -> Optional[KeyFactModel]:
-        """
-        Convert a Peewee KeyFact object to a Pydantic KeyFactModel.
-        
-        Args:
-            fact: Peewee KeyFact instance or None
-            
-        Returns:
-            Optional[KeyFactModel]: Pydantic model representation or None if fact is None
-        """
-        if fact is None:
-            return None
-        
-        return KeyFactModel.model_validate(fact, from_attributes=True)
-    
-    def create(self, content: str, human_input_id: Optional[int] = None) -> KeyFactModel:
+    def create(self, content: str, human_input_id: Optional[int] = None) -> KeyFact:
         """
         Create a new key fact in the database.
         
@@ -145,7 +129,7 @@ class KeyFactRepository:
             human_input_id: Optional ID of the associated human input
             
         Returns:
-            KeyFactModel: The newly created key fact instance
+            KeyFact: The newly created key fact instance
             
         Raises:
             peewee.DatabaseError: If there's an error creating the fact
@@ -153,12 +137,12 @@ class KeyFactRepository:
         try:
             fact = KeyFact.create(content=content, human_input_id=human_input_id)
             logger.debug(f"Created key fact ID {fact.id}: {content}")
-            return self._to_model(fact)
+            return fact
         except peewee.DatabaseError as e:
             logger.error(f"Failed to create key fact: {str(e)}")
             raise
     
-    def get(self, fact_id: int) -> Optional[KeyFactModel]:
+    def get(self, fact_id: int) -> Optional[KeyFact]:
         """
         Retrieve a key fact by its ID.
         
@@ -166,19 +150,18 @@ class KeyFactRepository:
             fact_id: The ID of the key fact to retrieve
             
         Returns:
-            Optional[KeyFactModel]: The key fact instance if found, None otherwise
+            Optional[KeyFact]: The key fact instance if found, None otherwise
             
         Raises:
             peewee.DatabaseError: If there's an error accessing the database
         """
         try:
-            fact = KeyFact.get_or_none(KeyFact.id == fact_id)
-            return self._to_model(fact)
+            return KeyFact.get_or_none(KeyFact.id == fact_id)
         except peewee.DatabaseError as e:
             logger.error(f"Failed to fetch key fact {fact_id}: {str(e)}")
             raise
     
-    def update(self, fact_id: int, content: str) -> Optional[KeyFactModel]:
+    def update(self, fact_id: int, content: str) -> Optional[KeyFact]:
         """
         Update an existing key fact.
         
@@ -187,14 +170,14 @@ class KeyFactRepository:
             content: The new content for the key fact
             
         Returns:
-            Optional[KeyFactModel]: The updated key fact if found, None otherwise
+            Optional[KeyFact]: The updated key fact if found, None otherwise
             
         Raises:
             peewee.DatabaseError: If there's an error updating the fact
         """
         try:
             # First check if the fact exists
-            fact = KeyFact.get_or_none(KeyFact.id == fact_id)
+            fact = self.get(fact_id)
             if not fact:
                 logger.warning(f"Attempted to update non-existent key fact {fact_id}")
                 return None
@@ -203,7 +186,7 @@ class KeyFactRepository:
             fact.content = content
             fact.save()
             logger.debug(f"Updated key fact ID {fact_id}: {content}")
-            return self._to_model(fact)
+            return fact
         except peewee.DatabaseError as e:
             logger.error(f"Failed to update key fact {fact_id}: {str(e)}")
             raise
@@ -223,7 +206,7 @@ class KeyFactRepository:
         """
         try:
             # First check if the fact exists
-            fact = KeyFact.get_or_none(KeyFact.id == fact_id)
+            fact = self.get(fact_id)
             if not fact:
                 logger.warning(f"Attempted to delete non-existent key fact {fact_id}")
                 return False
@@ -236,19 +219,18 @@ class KeyFactRepository:
             logger.error(f"Failed to delete key fact {fact_id}: {str(e)}")
             raise
     
-    def get_all(self) -> List[KeyFactModel]:
+    def get_all(self) -> List[KeyFact]:
         """
         Retrieve all key facts from the database.
         
         Returns:
-            List[KeyFactModel]: List of all key fact instances
+            List[KeyFact]: List of all key fact instances
             
         Raises:
             peewee.DatabaseError: If there's an error accessing the database
         """
         try:
-            facts = list(KeyFact.select().order_by(KeyFact.id))
-            return [self._to_model(fact) for fact in facts]
+            return list(KeyFact.select().order_by(KeyFact.id))
         except peewee.DatabaseError as e:
             logger.error(f"Failed to fetch all key facts: {str(e)}")
             raise

ra_aid/database/repositories/key_snippet_repository.py

@@ -11,7 +11,6 @@ import contextvars
 import peewee
 
 from ra_aid.database.models import KeySnippet
-from ra_aid.database.pydantic_models import KeySnippetModel
 from ra_aid.logging_config import get_logger
 
 logger = get_logger(__name__)
@@ -130,25 +129,10 @@ class KeySnippetRepository:
             raise ValueError("Database connection is required for KeySnippetRepository")
         self.db = db
     
-    def _to_model(self, snippet: Optional[KeySnippet]) -> Optional[KeySnippetModel]:
-        """
-        Convert a Peewee KeySnippet object to a Pydantic KeySnippetModel.
-        
-        Args:
-            snippet: Peewee KeySnippet instance or None
-            
-        Returns:
-            Optional[KeySnippetModel]: Pydantic model representation or None if snippet is None
-        """
-        if snippet is None:
-            return None
-        
-        return KeySnippetModel.model_validate(snippet, from_attributes=True)
-    
     def create(
         self, filepath: str, line_number: int, snippet: str, description: Optional[str] = None,
         human_input_id: Optional[int] = None
-    ) -> KeySnippetModel:
+    ) -> KeySnippet:
         """
         Create a new key snippet in the database.
         
@@ -160,7 +144,7 @@ class KeySnippetRepository:
             human_input_id: Optional ID of the associated human input
             
         Returns:
-            KeySnippetModel: The newly created key snippet instance
+            KeySnippet: The newly created key snippet instance
             
         Raises:
             peewee.DatabaseError: If there's an error creating the snippet
@@ -174,12 +158,12 @@ class KeySnippetRepository:
                 human_input_id=human_input_id
             )
             logger.debug(f"Created key snippet ID {key_snippet.id}: {filepath}:{line_number}")
-            return self._to_model(key_snippet)
+            return key_snippet
         except peewee.DatabaseError as e:
             logger.error(f"Failed to create key snippet: {str(e)}")
             raise
     
-    def get(self, snippet_id: int) -> Optional[KeySnippetModel]:
+    def get(self, snippet_id: int) -> Optional[KeySnippet]:
         """
         Retrieve a key snippet by its ID.
         
@@ -187,14 +171,13 @@ class KeySnippetRepository:
             snippet_id: The ID of the key snippet to retrieve
             
         Returns:
-            Optional[KeySnippetModel]: The key snippet instance if found, None otherwise
+            Optional[KeySnippet]: The key snippet instance if found, None otherwise
             
         Raises:
             peewee.DatabaseError: If there's an error accessing the database
         """
         try:
-            snippet = KeySnippet.get_or_none(KeySnippet.id == snippet_id)
-            return self._to_model(snippet)
+            return KeySnippet.get_or_none(KeySnippet.id == snippet_id)
         except peewee.DatabaseError as e:
             logger.error(f"Failed to fetch key snippet {snippet_id}: {str(e)}")
             raise
@@ -206,7 +189,7 @@ class KeySnippetRepository:
         line_number: int, 
         snippet: str, 
         description: Optional[str] = None
-    ) -> Optional[KeySnippetModel]:
+    ) -> Optional[KeySnippet]:
         """
         Update an existing key snippet.
         
@@ -218,14 +201,14 @@ class KeySnippetRepository:
             description: Optional description of the significance
             
         Returns:
-            Optional[KeySnippetModel]: The updated key snippet if found, None otherwise
+            Optional[KeySnippet]: The updated key snippet if found, None otherwise
             
         Raises:
             peewee.DatabaseError: If there's an error updating the snippet
         """
         try:
             # First check if the snippet exists
-            key_snippet = KeySnippet.get_or_none(KeySnippet.id == snippet_id)
+            key_snippet = self.get(snippet_id)
             if not key_snippet:
                 logger.warning(f"Attempted to update non-existent key snippet {snippet_id}")
                 return None
@@ -237,7 +220,7 @@ class KeySnippetRepository:
             key_snippet.description = description
             key_snippet.save()
             logger.debug(f"Updated key snippet ID {snippet_id}: {filepath}:{line_number}")
-            return self._to_model(key_snippet)
+            return key_snippet
         except peewee.DatabaseError as e:
             logger.error(f"Failed to update key snippet {snippet_id}: {str(e)}")
             raise
@@ -257,7 +240,7 @@ class KeySnippetRepository:
         """
         try:
             # First check if the snippet exists
-            key_snippet = KeySnippet.get_or_none(KeySnippet.id == snippet_id)
+            key_snippet = self.get(snippet_id)
             if not key_snippet:
                 logger.warning(f"Attempted to delete non-existent key snippet {snippet_id}")
                 return False
@@ -270,19 +253,18 @@ class KeySnippetRepository:
             logger.error(f"Failed to delete key snippet {snippet_id}: {str(e)}")
             raise
     
-    def get_all(self) -> List[KeySnippetModel]:
+    def get_all(self) -> List[KeySnippet]:
         """
         Retrieve all key snippets from the database.
         
         Returns:
-            List[KeySnippetModel]: List of all key snippet instances
+            List[KeySnippet]: List of all key snippet instances
             
         Raises:
             peewee.DatabaseError: If there's an error accessing the database
         """
         try:
-            snippets = list(KeySnippet.select().order_by(KeySnippet.id))
-            return [self._to_model(snippet) for snippet in snippets]
+            return list(KeySnippet.select().order_by(KeySnippet.id))
         except peewee.DatabaseError as e:
             logger.error(f"Failed to fetch all key snippets: {str(e)}")
             raise

ra_aid/database/repositories/research_note_repository.py

@@ -12,7 +12,6 @@ from contextlib import contextmanager
 import peewee
 
 from ra_aid.database.models import ResearchNote
-from ra_aid.database.pydantic_models import ResearchNoteModel
 from ra_aid.logging_config import get_logger
 
 logger = get_logger(__name__)
@@ -121,22 +120,7 @@ class ResearchNoteRepository:
             raise ValueError("Database connection is required for ResearchNoteRepository")
         self.db = db
     
-    def _to_model(self, note: Optional[ResearchNote]) -> Optional[ResearchNoteModel]:
-        """
-        Convert a Peewee ResearchNote object to a Pydantic ResearchNoteModel.
-        
-        Args:
-            note: Peewee ResearchNote instance or None
-            
-        Returns:
-            Optional[ResearchNoteModel]: Pydantic model representation or None if note is None
-        """
-        if note is None:
-            return None
-        
-        return ResearchNoteModel.model_validate(note, from_attributes=True)
-    
-    def create(self, content: str, human_input_id: Optional[int] = None) -> ResearchNoteModel:
+    def create(self, content: str, human_input_id: Optional[int] = None) -> ResearchNote:
         """
         Create a new research note in the database.
         
@@ -145,7 +129,7 @@ class ResearchNoteRepository:
             human_input_id: Optional ID of the associated human input
             
         Returns:
-            ResearchNoteModel: The newly created research note instance
+            ResearchNote: The newly created research note instance
             
         Raises:
             peewee.DatabaseError: If there's an error creating the note
@@ -153,12 +137,12 @@ class ResearchNoteRepository:
         try:
             note = ResearchNote.create(content=content, human_input_id=human_input_id)
             logger.debug(f"Created research note ID {note.id}: {content[:50]}...")
-            return self._to_model(note)
+            return note
         except peewee.DatabaseError as e:
             logger.error(f"Failed to create research note: {str(e)}")
             raise
     
-    def get(self, note_id: int) -> Optional[ResearchNoteModel]:
+    def get(self, note_id: int) -> Optional[ResearchNote]:
         """
         Retrieve a research note by its ID.
         
@@ -166,19 +150,18 @@ class ResearchNoteRepository:
             note_id: The ID of the research note to retrieve
             
         Returns:
-            Optional[ResearchNoteModel]: The research note instance if found, None otherwise
+            Optional[ResearchNote]: The research note instance if found, None otherwise
             
         Raises:
             peewee.DatabaseError: If there's an error accessing the database
         """
         try:
-            note = ResearchNote.get_or_none(ResearchNote.id == note_id)
-            return self._to_model(note)
+            return ResearchNote.get_or_none(ResearchNote.id == note_id)
         except peewee.DatabaseError as e:
             logger.error(f"Failed to fetch research note {note_id}: {str(e)}")
             raise
     
-    def update(self, note_id: int, content: str) -> Optional[ResearchNoteModel]:
+    def update(self, note_id: int, content: str) -> Optional[ResearchNote]:
         """
         Update an existing research note.
         
@@ -187,14 +170,14 @@ class ResearchNoteRepository:
             content: The new content for the research note
             
         Returns:
-            Optional[ResearchNoteModel]: The updated research note if found, None otherwise
+            Optional[ResearchNote]: The updated research note if found, None otherwise
             
         Raises:
             peewee.DatabaseError: If there's an error updating the note
         """
         try:
             # First check if the note exists
-            note = ResearchNote.get_or_none(ResearchNote.id == note_id)
+            note = self.get(note_id)
             if not note:
                 logger.warning(f"Attempted to update non-existent research note {note_id}")
                 return None
@@ -203,7 +186,7 @@ class ResearchNoteRepository:
             note.content = content
             note.save()
             logger.debug(f"Updated research note ID {note_id}: {content[:50]}...")
-            return self._to_model(note)
+            return note
         except peewee.DatabaseError as e:
             logger.error(f"Failed to update research note {note_id}: {str(e)}")
             raise
@@ -223,7 +206,7 @@ class ResearchNoteRepository:
         """
         try:
             # First check if the note exists
-            note = ResearchNote.get_or_none(ResearchNote.id == note_id)
+            note = self.get(note_id)
             if not note:
                 logger.warning(f"Attempted to delete non-existent research note {note_id}")
                 return False
@@ -236,19 +219,18 @@ class ResearchNoteRepository:
             logger.error(f"Failed to delete research note {note_id}: {str(e)}")
             raise
     
-    def get_all(self) -> List[ResearchNoteModel]:
+    def get_all(self) -> List[ResearchNote]:
         """
         Retrieve all research notes from the database.
         
         Returns:
-            List[ResearchNoteModel]: List of all research note instances
+            List[ResearchNote]: List of all research note instances
             
         Raises:
             peewee.DatabaseError: If there's an error accessing the database
         """
         try:
-            notes = list(ResearchNote.select().order_by(ResearchNote.id))
-            return [self._to_model(note) for note in notes]
+            return list(ResearchNote.select().order_by(ResearchNote.id))
         except peewee.DatabaseError as e:
             logger.error(f"Failed to fetch all research notes: {str(e)}")
             raise