From ae149662047fa76d466b40c3eb110a6513406264 Mon Sep 17 00:00:00 2001 From: Ashwin Bharambe Date: Wed, 1 Oct 2025 16:01:09 -0700 Subject: [PATCH] more --- llama_stack/models/llama/llama3/tool_utils.py | 16 +- .../agents/meta_reference/agent_instance.py | 8 +- .../recordings/responses/1acd433c05d4.json | 1787 +++++++++++++++++ .../recordings/responses/8deded211f21.json | 88 +- .../recordings/responses/d0ac68cbde69.json | 21 +- .../recordings/responses/eeb26200786f.json | 1355 +++++++++++++ 6 files changed, 3221 insertions(+), 54 deletions(-) create mode 100644 tests/integration/recordings/responses/1acd433c05d4.json create mode 100644 tests/integration/recordings/responses/eeb26200786f.json diff --git a/llama_stack/models/llama/llama3/tool_utils.py b/llama_stack/models/llama/llama3/tool_utils.py index d0e3e7671..8c12fe680 100644 --- a/llama_stack/models/llama/llama3/tool_utils.py +++ b/llama_stack/models/llama/llama3/tool_utils.py @@ -220,17 +220,18 @@ class ToolUtils: @staticmethod def encode_tool_call(t: ToolCall, tool_prompt_format: ToolPromptFormat) -> str: + args = json.loads(t.arguments) if t.tool_name == BuiltinTool.brave_search: - q = t.arguments["query"] + q = args["query"] return f'brave_search.call(query="{q}")' elif t.tool_name == BuiltinTool.wolfram_alpha: - q = t.arguments["query"] + q = args["query"] return f'wolfram_alpha.call(query="{q}")' elif t.tool_name == BuiltinTool.photogen: - q = t.arguments["query"] + q = args["query"] return f'photogen.call(query="{q}")' elif t.tool_name == BuiltinTool.code_interpreter: - return t.arguments["code"] + return args["code"] else: fname = t.tool_name @@ -239,12 +240,11 @@ class ToolUtils: { "type": "function", "name": fname, - "parameters": t.arguments, + "parameters": args, } ) elif tool_prompt_format == ToolPromptFormat.function_tag: - args = json.dumps(t.arguments) - return f"{args}" + return f"{t.arguments}" elif tool_prompt_format == ToolPromptFormat.python_list: @@ -260,7 +260,7 @@ class ToolUtils: else: raise ValueError(f"Unsupported type: {type(value)}") - args_str = ", ".join(f"{k}={format_value(v)}" for k, v in t.arguments.items()) + args_str = ", ".join(f"{k}={format_value(v)}" for k, v in args.items()) return f"[{fname}({args_str})]" else: raise ValueError(f"Unsupported tool prompt format: {tool_prompt_format}") diff --git a/llama_stack/providers/inline/agents/meta_reference/agent_instance.py b/llama_stack/providers/inline/agents/meta_reference/agent_instance.py index 318290f07..1a713c395 100644 --- a/llama_stack/providers/inline/agents/meta_reference/agent_instance.py +++ b/llama_stack/providers/inline/agents/meta_reference/agent_instance.py @@ -875,12 +875,18 @@ class ChatAgent(ShieldRunnerMixin): tool_name_str = tool_name logger.info(f"executing tool call: {tool_name_str} with args: {tool_call.arguments}") + + try: + args = json.loads(tool_call.arguments) + except json.JSONDecodeError as e: + raise ValueError(f"Failed to parse arguments for tool call: {tool_call.arguments}") from e + result = await self.tool_runtime_api.invoke_tool( tool_name=tool_name_str, kwargs={ "session_id": session_id, # get the arguments generated by the model and augment with toolgroup arg overrides for the agent - **tool_call.arguments, + **args, **self.tool_name_to_args.get(tool_name_str, {}), }, ) diff --git a/tests/integration/recordings/responses/1acd433c05d4.json b/tests/integration/recordings/responses/1acd433c05d4.json new file mode 100644 index 000000000..5ab638216 --- /dev/null +++ b/tests/integration/recordings/responses/1acd433c05d4.json @@ -0,0 +1,1787 @@ +{ + "request": { + "method": "POST", + "url": "http://localhost:11434/api/generate", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "raw": true, + "prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant. 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"2025-10-01T23:00:21.063248Z", "done": false, "done_reason": null, "total_duration": null, @@ -705,7 +705,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T22:46:17.640858Z", + "created_at": "2025-10-01T23:00:21.10591Z", "done": false, "done_reason": null, "total_duration": null, @@ -723,15 +723,15 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T22:46:17.685634Z", + "created_at": "2025-10-01T23:00:21.149804Z", "done": true, "done_reason": "stop", - "total_duration": 7493315500, - "load_duration": 4640587750, + "total_duration": 3544551625, + "load_duration": 122599250, "prompt_eval_count": 556, - "prompt_eval_duration": 1163238292, + "prompt_eval_duration": 1727890958, "eval_count": 40, - "eval_duration": 1687901500, + "eval_duration": 1693076542, "response": "", "thinking": null, "context": null diff --git a/tests/integration/recordings/responses/d0ac68cbde69.json b/tests/integration/recordings/responses/d0ac68cbde69.json index b37962fb6..1a4cceb98 100644 --- a/tests/integration/recordings/responses/d0ac68cbde69.json +++ b/tests/integration/recordings/responses/d0ac68cbde69.json @@ -11,7 +11,26 @@ "body": { "__type__": "ollama._types.ProcessResponse", "__data__": { - "models": [] + "models": [ + { + "model": "llama3.2:3b-instruct-fp16", + "name": "llama3.2:3b-instruct-fp16", + "digest": "195a8c01d91ec3cb1e0aad4624a51f2602c51fa7d96110f8ab5a20c84081804d", + "expires_at": "2025-10-01T16:04:02.100179-07:00", + "size": 7919570944, + "size_vram": 7919570944, + "details": { + "parent_model": "", + "format": "gguf", + "family": "llama", + "families": [ + "llama" + ], + "parameter_size": "3.2B", + "quantization_level": "F16" + } + } + ] } }, "is_streaming": false diff --git a/tests/integration/recordings/responses/eeb26200786f.json b/tests/integration/recordings/responses/eeb26200786f.json new 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