Update to match new any_agent tracing api (#44)

examples/langchain_single_agent_user_confirmation.yaml

@@ -1,6 +1,6 @@
 
 location: Pontevedra
-date: 2025-03-27 12:00
+date: 2025-04-05 12:00
 max_driving_hours: 2
 input_prompt_template: |
   According to the forecast, what will be the best spot to surf around {LOCATION},

examples/openai_single_agent_user_confirmation.yaml

@@ -1,13 +1,14 @@
 
 location: Pontevedra
-date: 2025-03-27 12:00
+date: 2025-04-05 12:00
 max_driving_hours: 2
 input_prompt_template: |
   According to the forecast, what will be the best spot to surf around {LOCATION},
   in a {MAX_DRIVING_HOURS} hour driving radius, at {DATE}?
   Find a few options and then discuss it with David de la Iglesia Castro. You should recommend him some choices,
   and then confirm the final selection with him.
-
+  Once he gives the final selection, save a detailed description of the weather at the chosen location into a file
+  named "final_answer.txt". Also save a file called "history.txt" which has a list of your thought process in the choice.
 framework: openai
 
 main_agent:
@@ -20,3 +21,17 @@ main_agent:
   - "surf_spot_finder.tools.get_wave_forecast"
   - "surf_spot_finder.tools.get_wind_forecast"
   - "any_agent.tools.send_console_message"
+  - command: "docker"
+    args:
+      - "run"
+      - "-i"
+      - "--rm"
+      - "--mount"
+      - "type=bind,src=/tmp/surf-spot-finder,dst=/projects"
+      - "mcp/filesystem"
+      - "/projects"
+    tools:
+      - "read_file"
+      - "write_file"
+      - "directory_tree"
+      - "list_allowed_directories"

examples/smolagents_single_agent_user_confirmation.yaml

@@ -1,5 +1,5 @@
 location: Pontevedra
-date: 2025-03-27 12:00
+date: 2025-04-05 12:00
 max_driving_hours: 2
 input_prompt_template: |
   According to the forecast, what will be the best spot to surf around {LOCATION},

src/surf_spot_finder/cli.py

@@ -26,7 +26,9 @@ def find_surf_spot(
     config = Config.model_validate(yaml.safe_load(Path(config_file).read_text()))
 
     logger.info("Setting up tracing")
-    tracer_provider, tracing_path = get_tracer_provider(project_name="surf-spot-finder")
+    tracer_provider, tracing_path = get_tracer_provider(
+        project_name="surf-spot-finder", agent_framework=config.framework
+    )
     setup_tracing(tracer_provider, config.framework)
 
     logger.info(f"Loading {config.framework} agent")

src/surf_spot_finder/evaluation/evaluate.py

@@ -33,7 +33,9 @@ def run(test_case: TestCase, agent_config_path: str) -> str:
     config.date = input_data.date
     config.max_driving_hours = input_data.max_driving_hours
     logger.info("Setting up tracing")
-    tracer_provider, tracing_path = get_tracer_provider(project_name="surf-spot-finder")
+    tracer_provider, tracing_path = get_tracer_provider(
+        project_name="surf-spot-finder", agent_framework=config.framework
+    )
     setup_tracing(tracer_provider, config.framework)
 
     logger.info(f"Loading {config.framework} agent")

src/surf_spot_finder/evaluation/telemetry/openai_telemetry.py

@@ -2,7 +2,7 @@ from typing import Any, Dict, List
 import json
 
 from any_agent import AgentFramework
-
+from loguru import logger
 from surf_spot_finder.evaluation.telemetry import TelemetryProcessor
 
 
@@ -24,8 +24,8 @@ class OpenAITelemetryProcessor(TelemetryProcessor):
                 )
                 if output_key in span["attributes"]:
                     return span["attributes"][output_key]
-
-        raise ValueError("No agent final answer found in trace")
+        logger.warning("No agent final answer found in trace")
+        return "NO FINAL ANSWER FOUND"
 
     def _extract_telemetry_data(self, telemetry: List[Dict[str, Any]]) -> list:
         """Extract LLM calls and tool calls from OpenAI telemetry."""