add --file flag

README.md

@@ -41,6 +41,17 @@ holmes investigate alertmanager --alertmanager-url http://localhost:9093
 Note - if on Mac OS and using the Docker image, you will need to use `http://docker.for.mac.localhost:9093` instead of `http://localhost:9093`
 </details>
 
+<details>
+<summary>Investigate a Local Log File</summary>
+
+Attach files to the HolmesGPT session with `-f`:
+
+```console
+sudo dmesg > dmesg.log
+poetry run python3 holmes.py ask "investigate errors in this dmesg log" -f dmesg.log
+```
+</details>
+
 <details>
 
 <summary>Investigate and update Jira tickets with findings</summary>

holmes.py

@@ -5,8 +5,7 @@
 import re
 import warnings
 from pathlib import Path
-from typing import List, Optional, Pattern
-import json
+from typing import List, Optional
 import typer
 from rich.console import Console
 from rich.logging import RichHandler
@@ -135,6 +134,12 @@ def ask(
         "--show-tool-output",
         help="Advanced. Show the output of each tool that was called",
     ),
+    include_file: Optional[List[Path]] = typer.Option(
+        [],
+        "--file",
+        "-f",
+        help="File to append to prompt (can specify -f multiple times to add multiple files)",
+    ),
     json_output_file: Optional[str] = opt_json_output_file
 ):
     """
@@ -153,6 +158,11 @@ def ask(
     system_prompt = load_prompt(system_prompt)
     ai = config.create_toolcalling_llm(console, allowed_toolsets)
     console.print("[bold yellow]User:[/bold yellow] " + prompt)
+    for path in include_file:
+        f = path.open("r")
+        prompt += f"\n\nAttached file '{path.absolute()}':\n{f.read()}"
+        console.print(f"[bold yellow]Loading file {path}[/bold yellow]")
+
     response = ai.call(system_prompt, prompt)
     text_result = Markdown(response.result)
     if json_output_file:

holmes/core/tool_calling_llm.py

@@ -65,6 +65,7 @@ def call(self, system_prompt, user_prompt) -> LLMResult:
             # on the last step we don't allow tools - we want to force a reply, not a request to run another tool
             tools = NOT_GIVEN if i == self.max_steps - 1 else tools
             tool_choice = NOT_GIVEN if tools == NOT_GIVEN else "auto"
+            logging.debug(f"sending messages {messages}")
             try:
                 full_response = self.client.chat.completions.create(
                     model=self.model,