fix: case-insensitive agent name lookup in config (fixes #1097)

.github/workflows/cloud-staging-build.yaml

@@ -118,8 +118,6 @@ jobs:
       - name: Setup extension
         run: |
           cd tmp_extension
-          npm install
-          npm run compile:ts
           npm install -g @vscode/vsce@3.3.2
           npm run build
           vsce package
@@ -182,4 +180,4 @@ jobs:
             git commit -m "version $VERSION"
             git push origin staging
           fi
-          cd ..
+          cd ..

CHANGELOG.md

@@ -1,4 +1,9 @@
-#  (2025-08-18)
+#  (2025-08-25)
+
+
+### Reverts
+
+* Revert "Implemented weekend discount" ([734e0c7](https://github.com/Pythagora-io/pythagora-v1/commit/734e0c726b179a45f235a0fd230a6310c77ae740))
 
 
 

README.md

@@ -8,9 +8,9 @@
 
 <div align="center">
 
-[![Discord Follow](https://dcbadge.vercel.app/api/server/HaqXugmxr9?style=flat)](https://discord.gg/HaqXugmxr9)
+[![Discord](https://img.shields.io/badge/Discord-Join%20Us-5865F2?style=social&logo=discord)](https://discord.gg/HaqXugmxr9)
 [![GitHub Repo stars](https://img.shields.io/github/stars/Pythagora-io/gpt-pilot?style=social)](https://github.com/Pythagora-io/gpt-pilot)
-[![Twitter Follow](https://img.shields.io/twitter/follow/HiPythagora?style=social)](https://twitter.com/HiPythagora)
+[![Twitter Follow](https://img.shields.io/twitter/follow/PythagoraAI?style=social)](https://x.com/PythagoraAI)
 
 </div>
 
@@ -28,29 +28,37 @@
 <br>
 
 <div align="center">
-
+   
 ### GPT Pilot doesn't just generate code, it builds apps!
 
 </div>
 
+<div align="center">
+
+This repo is not being maintained anymore.
+
+# Visit [Pythagora.ai](https://www.pythagora.ai/) for more info
+
+</div>
+
 ---
 <div align="center">
 
-[![See it in action](https://i3.ytimg.com/vi/4g-1cPGK0GA/maxresdefault.jpg)](https://youtu.be/4g-1cPGK0GA)
+[![See it in action](https://img.youtube.com/vi/o1nEvwjKziw/0.jpg)]([https://youtu.be/4g-1cPGK0GA](https://www.youtube.com/watch?v=o1nEvwjKziw))
 
-(click to open the video in YouTube) (1:40min)
+(click to open the video in YouTube) (1:04min)
 
 </div>
 
 ---
 
 <div align="center">
 
-<a href="vscode:extension/PythagoraTechnologies.gpt-pilot-vs-code" target="_blank"><img src="https://github.com/Pythagora-io/gpt-pilot/assets/10895136/5792143e-77c7-47dd-ad96-6902be1501cd" alt="Pythagora-io%2Fgpt-pilot | Trendshift" style="width: 185px; height: 55px;" width="185" height="55"/></a>
+<a href="https://marketplace.visualstudio.com/items?itemName=PythagoraTechnologies.pythagora-vs-code" target="_blank"><img src="https://github.com/Pythagora-io/gpt-pilot/assets/10895136/5792143e-77c7-47dd-ad96-6902be1501cd" alt="Pythagora-io%2Fgpt-pilot | Trendshift" style="width: 185px; height: 55px;" width="185" height="55"/></a>
 
 </div>
 
-GPT Pilot is the core technology for the [Pythagora VS Code extension](https://bit.ly/3IeZxp6) that aims to provide **the first real AI developer companion**. Not just an autocomplete or a helper for PR messages but rather a real AI developer that can write full features, debug them, talk to you about issues, ask for review, etc.
+GPT Pilot is the core technology for the [Pythagora VS Code extension](https://marketplace.visualstudio.com/items?itemName=PythagoraTechnologies.pythagora-vs-code) that aims to provide **the first real AI developer companion**. Not just an autocomplete or a helper for PR messages but rather a real AI developer that can write full features, debug them, talk to you about issues, ask for review, etc.
 
 ---
 

core/agents/frontend.py

@@ -25,7 +25,7 @@
 from core.llm.parser import DescriptiveCodeBlockParser, OptionalCodeBlockParser
 from core.log import get_logger
 from core.telemetry import telemetry
-from core.ui.base import ProjectStage, UISource
+from core.ui.base import ProjectStage
 
 log = get_logger(__name__)
 
@@ -168,10 +168,6 @@ async def iterate_frontend(self):
         if user_input:
             await self.send_message("Errors detected, fixing...")
         else:
-            await self.ui.send_message(
-                "Use code CODE20 and subscribe https://pythagora.ai/pricing",
-                source=UISource("Congratulations", "success"),
-            )
             answer = await self.ask_question(
                 "Do you want to change anything or report a bug?" if frontend_only else FE_CHANGE_REQ,
                 buttons={"yes": "I'm done building the UI"} if not frontend_only else None,

core/agents/spec_writer.py

@@ -11,7 +11,7 @@
 from core.log import get_logger
 from core.telemetry import telemetry
 from core.templates.registry import PROJECT_TEMPLATES
-from core.ui.base import ProjectStage, UISource
+from core.ui.base import ProjectStage
 
 log = get_logger(__name__)
 
@@ -122,9 +122,6 @@ async def initialize_spec_and_project(self) -> AgentResponse:
 
         await self.ui.send_front_logs_headers("specs_0", ["E1 / T1", "Writing Specification", "working"], "")
 
-        await self.ui.send_message(
-            "Use code CODE20 and subscribe https://pythagora.ai/pricing", source=UISource("Congratulations", "success")
-        )
         await self.send_message(
             "## Write specification\n\nPythagora is generating a detailed specification for app based on your input.",
             # project_state_id="setup",

core/config/__init__.py

@@ -425,10 +425,17 @@ def llm_for_agent(self, agent_name: str = "default") -> LLMConfig:
         Fetch an LLM configuration for a given agent.
 
         If the agent specific configuration doesn't exist, returns the configuration
-        for the 'default' agent.
+        for the 'default' agent. Agent name matching is case-insensitive to allow
+        config keys like 'codemonkey' or 'importer' to match 'CodeMonkey' or 'Importer'.
         """
 
-        agent_name = agent_name if agent_name in self.agent else "default"
+        if agent_name not in self.agent:
+            # Try case-insensitive match to be forgiving of different naming conventions
+            agent_name_lower = agent_name.lower()
+            agent_name = next(
+                (key for key in self.agent if key.lower() == agent_name_lower),
+                "default",
+            )
         agent_config = self.agent[agent_name]
         provider_config = self.llm[agent_config.provider]
         return LLMConfig.from_provider_and_agent_configs(provider_config, agent_config)

example-config.json

@@ -29,15 +29,29 @@
       }
     }
   },
-  // Each agent can use a different model or configuration. The default, as before, is GPT4 Turbo
-  // for most tasks and GPT3.5 Turbo to generate file descriptions. The agent name here should match
-  // the Python class name.
+  // Each agent can use a different model or configuration. The default is used for all agents
+  // unless overridden. The agent name should match the Python class name (case-insensitive).
+  // Valid agent names: "default", "CodeMonkey", "Importer", "SpecWriter", "Frontend",
+  // "BugHunter", "Developer", "TechLead", "Troubleshooter", "get_relevant_files"
+  // Sub-agent routes can also be overridden, e.g. "CodeMonkey.code_review".
   "agent": {
     "default": {
       "provider": "openai",
       "model": "gpt-4o-2024-05-13",
       "temperature": 0.5
     }
+    // Example: use a different model for code generation tasks
+    // "CodeMonkey": {
+    //   "provider": "openai",
+    //   "model": "gpt-4o-2024-05-13",
+    //   "temperature": 0.0
+    // },
+    // Example: use Anthropic for the Importer agent
+    // "Importer": {
+    //   "provider": "anthropic",
+    //   "model": "claude-3-5-sonnet-20241022",
+    //   "temperature": 0.5
+    // }
   },
   // Logging configuration outputs debug log to "pythagora.log" by default. If you set this to null,
   // the log will be sent to stdout.

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "pythagora-core"
-version = "2.0.9"
+version = "2.0.10"
 description = "Build complete apps using AI agents"
 authors = ["Leon Ostrez <leon@pythagora.ai>"]
 license = "FSL-1.1-MIT"

tests/config/test_config.py

@@ -50,6 +50,16 @@ def test_parse_config():
     assert config.llm_for_agent("CodeMonkey").api_key == "sk-anthropic"
 
 
+def test_case_insensitive_agent_lookup():
+    config = ConfigLoader.from_json(json.dumps(test_config_data))
+
+    # Case-insensitive match: "codemonkey" should resolve to "CodeMonkey"
+    assert config.llm_for_agent("codemonkey").provider == LLMProvider.ANTHROPIC
+    assert config.llm_for_agent("codemonkey").model == "claude-3-opus"
+    # Unknown agent name falls back to "default"
+    assert config.llm_for_agent("NonExistentAgent").provider == LLMProvider.OPENAI
+
+
 def test_default_agent_llm_config():
     data = {
         "llm": {"openai": test_config_data["llm"]["openai"]},