From f67315ec92f70f98e5694f4c8a318aed93fc697e Mon Sep 17 00:00:00 2001 From: aaronpolhamus Date: Wed, 23 Jul 2025 00:20:56 -0600 Subject: [PATCH 01/16] restore example and smoke tests --- examples/tensorzero/docker-compose.yml | 3 ++- examples/tensorzero/fastagent.config.yaml | 1 + examples/tensorzero/mcp_server/Dockerfile | 23 ++++++++++------------- 3 files changed, 13 insertions(+), 14 deletions(-) diff --git a/examples/tensorzero/docker-compose.yml b/examples/tensorzero/docker-compose.yml index 68604d8d..3a65cce2 100644 --- a/examples/tensorzero/docker-compose.yml +++ b/examples/tensorzero/docker-compose.yml @@ -65,8 +65,9 @@ services: build: context: ../.. dockerfile: examples/tensorzero/mcp_server/Dockerfile + working_dir: /app volumes: - - ./mcp_server:/app + - ../..:/app ports: - "8000:8000" depends_on: diff --git a/examples/tensorzero/fastagent.config.yaml b/examples/tensorzero/fastagent.config.yaml index 04d70eea..cbf91706 100644 --- a/examples/tensorzero/fastagent.config.yaml +++ b/examples/tensorzero/fastagent.config.yaml @@ -2,6 +2,7 @@ default_model: haiku tensorzero: base_url: http://localhost:3000 + api_key: verysecret logger: level: "info" diff --git a/examples/tensorzero/mcp_server/Dockerfile b/examples/tensorzero/mcp_server/Dockerfile index 1cd45860..328cdd52 100644 --- a/examples/tensorzero/mcp_server/Dockerfile +++ b/examples/tensorzero/mcp_server/Dockerfile @@ -1,5 +1,4 @@ FROM python:3.12-slim - WORKDIR /app RUN apt-get update && apt-get install -y curl wget && \ @@ -9,20 +8,18 @@ RUN apt-get update && apt-get install -y curl wget && \ RUN pip install uv -COPY pyproject.toml /app/ -COPY uv.lock /app/ -COPY LICENSE /app/ -COPY README.md /app/ +# Copy dependency files only +COPY pyproject.toml /tmp/ +COPY uv.lock /tmp/ +# Install dependencies +WORKDIR /tmp RUN uv pip install --system . -COPY examples/tensorzero/mcp_server/mcp_server.py /app/ -COPY examples/tensorzero/mcp_server/entrypoint.sh /app/entrypoint.sh - -RUN chmod +x /app/entrypoint.sh +# Switch back to /app (this will be overridden by volume mount) +WORKDIR /app +# These files will come from the volume mount at runtime EXPOSE 8000 - -ENTRYPOINT ["/app/entrypoint.sh"] - -CMD ["uvicorn", "mcp_server:app", "--host", "0.0.0.0", "--port", "8000"] +ENTRYPOINT ["/app/examples/tensorzero/mcp_server/entrypoint.sh"] +CMD ["uvicorn", "examples.tensorzero.mcp_server.mcp_server:app", "--host", "0.0.0.0", "--port", "8000"] From 2b43d457b7d95d215a23435d1ffca2c4eec105c1 Mon Sep 17 00:00:00 2001 From: makarenko Date: Fri, 1 Aug 2025 14:40:21 -0600 Subject: [PATCH 02/16] fix: Fix Dockerfiles --- examples/tensorzero/docker-compose.yml | 6 +++--- examples/tensorzero/mcp_server/Dockerfile | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/examples/tensorzero/docker-compose.yml b/examples/tensorzero/docker-compose.yml index 3a65cce2..ecf36a94 100644 --- a/examples/tensorzero/docker-compose.yml +++ b/examples/tensorzero/docker-compose.yml @@ -63,11 +63,11 @@ services: mcp-server: build: - context: ../.. - dockerfile: examples/tensorzero/mcp_server/Dockerfile + context: ./mcp_server + dockerfile: Dockerfile working_dir: /app volumes: - - ../..:/app + - ./mcp_server:/app ports: - "8000:8000" depends_on: diff --git a/examples/tensorzero/mcp_server/Dockerfile b/examples/tensorzero/mcp_server/Dockerfile index 328cdd52..1dd57651 100644 --- a/examples/tensorzero/mcp_server/Dockerfile +++ b/examples/tensorzero/mcp_server/Dockerfile @@ -10,7 +10,7 @@ RUN pip install uv # Copy dependency files only COPY pyproject.toml /tmp/ -COPY uv.lock /tmp/ +#COPY uv.lock /tmp/ # Install dependencies WORKDIR /tmp @@ -21,5 +21,5 @@ WORKDIR /app # These files will come from the volume mount at runtime EXPOSE 8000 -ENTRYPOINT ["/app/examples/tensorzero/mcp_server/entrypoint.sh"] -CMD ["uvicorn", "examples.tensorzero.mcp_server.mcp_server:app", "--host", "0.0.0.0", "--port", "8000"] +ENTRYPOINT ["/app/entrypoint.sh"] +CMD ["uvicorn", "mcp_server:app", "--host", "0.0.0.0", "--port", "8000"] From 6356d7323caa236ed9cb0fb6d574ebd2d86cf114 Mon Sep 17 00:00:00 2001 From: makarenko Date: Fri, 1 Aug 2025 14:40:43 -0600 Subject: [PATCH 03/16] feat: Create isolated uv dependencies for MCP server --- pyproject.toml | 3 + uv.lock | 2055 +++++++++++++++++++++++++----------------------- 2 files changed, 1095 insertions(+), 963 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 7bbe501f..cbce1b53 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -136,3 +136,6 @@ ignore=["E501"] # More lenient settings for existing code [tool.ruff.lint.per-file-ignores] "tests/*" = ["ANN"] # Don't require type annotations in tests + +[tool.uv.workspace] +members = ["examples/tensorzero/mcp_server"] diff --git a/uv.lock b/uv.lock index 27d7d085..14529002 100644 --- a/uv.lock +++ b/uv.lock @@ -1,11 +1,16 @@ version = 1 -revision = 2 requires-python = ">=3.12" resolution-markers = [ 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examples/tensorzero/mcp_server/pyproject.toml diff --git a/examples/tensorzero/mcp_server/.python-version b/examples/tensorzero/mcp_server/.python-version new file mode 100644 index 00000000..e4fba218 --- /dev/null +++ b/examples/tensorzero/mcp_server/.python-version @@ -0,0 +1 @@ +3.12 diff --git a/examples/tensorzero/mcp_server/pyproject.toml b/examples/tensorzero/mcp_server/pyproject.toml new file mode 100644 index 00000000..a4e8860c --- /dev/null +++ b/examples/tensorzero/mcp_server/pyproject.toml @@ -0,0 +1,11 @@ +[project] +name = "mcp-server" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "fastmcp>=2.10.6", + "starlette>=0.46.2", + "uvicorn>=0.34.3", +] From 31a645aec7e993e09a9d6779540db23ec0943755 Mon Sep 17 00:00:00 2001 From: makarenko Date: Fri, 1 Aug 2025 14:50:32 -0600 Subject: [PATCH 05/16] fix: Test should use docker --- tests/e2e/conftest.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/e2e/conftest.py b/tests/e2e/conftest.py index 300cc3df..d6c7954e 100644 --- a/tests/e2e/conftest.py +++ b/tests/e2e/conftest.py @@ -94,7 +94,7 @@ def tensorzero_docker_env(project_root): """Ensures the TensorZero docker-compose environment is running.""" compose_file = project_root / "examples" / "tensorzero" / "docker-compose.yml" compose_dir = compose_file.parent - compose_cmd = ["docker-compose", "-f", str(compose_file)] + compose_cmd = ["docker", "compose", "-f", str(compose_file)] print(f"\nEnsuring TensorZero Docker environment is up ({compose_file})...") try: From 408517b656686733ecba0879e6349378ba1f88c9 Mon Sep 17 00:00:00 2001 From: aaronpolhamus Date: Wed, 23 Jul 2025 00:20:56 -0600 Subject: [PATCH 06/16] restore example and smoke tests --- examples/tensorzero/docker-compose.yml | 3 ++- examples/tensorzero/fastagent.config.yaml | 1 + examples/tensorzero/mcp_server/Dockerfile | 23 ++++++++++------------- 3 files changed, 13 insertions(+), 14 deletions(-) diff --git a/examples/tensorzero/docker-compose.yml b/examples/tensorzero/docker-compose.yml index 68604d8d..3a65cce2 100644 --- a/examples/tensorzero/docker-compose.yml +++ b/examples/tensorzero/docker-compose.yml @@ -65,8 +65,9 @@ services: build: context: ../.. dockerfile: examples/tensorzero/mcp_server/Dockerfile + working_dir: /app volumes: - - ./mcp_server:/app + - ../..:/app ports: - "8000:8000" depends_on: diff --git a/examples/tensorzero/fastagent.config.yaml b/examples/tensorzero/fastagent.config.yaml index 04d70eea..cbf91706 100644 --- a/examples/tensorzero/fastagent.config.yaml +++ b/examples/tensorzero/fastagent.config.yaml @@ -2,6 +2,7 @@ default_model: haiku tensorzero: base_url: http://localhost:3000 + api_key: verysecret logger: level: "info" diff --git a/examples/tensorzero/mcp_server/Dockerfile b/examples/tensorzero/mcp_server/Dockerfile index 1cd45860..328cdd52 100644 --- a/examples/tensorzero/mcp_server/Dockerfile +++ b/examples/tensorzero/mcp_server/Dockerfile @@ -1,5 +1,4 @@ FROM python:3.12-slim - WORKDIR /app RUN apt-get update && apt-get install -y curl wget && \ @@ -9,20 +8,18 @@ RUN apt-get update && apt-get install -y curl wget && \ RUN pip install uv -COPY pyproject.toml /app/ -COPY uv.lock /app/ -COPY LICENSE /app/ -COPY README.md /app/ +# Copy dependency files only +COPY pyproject.toml /tmp/ +COPY uv.lock /tmp/ +# Install dependencies +WORKDIR /tmp RUN uv pip install --system . -COPY examples/tensorzero/mcp_server/mcp_server.py /app/ -COPY examples/tensorzero/mcp_server/entrypoint.sh /app/entrypoint.sh - -RUN chmod +x /app/entrypoint.sh +# Switch back to /app (this will be overridden by volume mount) +WORKDIR /app +# These files will come from the volume mount at runtime EXPOSE 8000 - -ENTRYPOINT ["/app/entrypoint.sh"] - -CMD ["uvicorn", "mcp_server:app", "--host", "0.0.0.0", "--port", "8000"] +ENTRYPOINT ["/app/examples/tensorzero/mcp_server/entrypoint.sh"] +CMD ["uvicorn", "examples.tensorzero.mcp_server.mcp_server:app", "--host", "0.0.0.0", "--port", "8000"] From 50e9e381107668c710823678ee84d796829e06cd Mon Sep 17 00:00:00 2001 From: makarenko Date: Fri, 1 Aug 2025 14:40:21 -0600 Subject: [PATCH 07/16] fix: Fix Dockerfiles --- examples/tensorzero/docker-compose.yml | 6 +++--- examples/tensorzero/mcp_server/Dockerfile | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/examples/tensorzero/docker-compose.yml b/examples/tensorzero/docker-compose.yml index 3a65cce2..ecf36a94 100644 --- a/examples/tensorzero/docker-compose.yml +++ b/examples/tensorzero/docker-compose.yml @@ -63,11 +63,11 @@ services: mcp-server: build: - context: ../.. - dockerfile: examples/tensorzero/mcp_server/Dockerfile + context: ./mcp_server + dockerfile: Dockerfile working_dir: /app volumes: - - ../..:/app + - ./mcp_server:/app ports: - "8000:8000" depends_on: diff --git a/examples/tensorzero/mcp_server/Dockerfile b/examples/tensorzero/mcp_server/Dockerfile index 328cdd52..1dd57651 100644 --- a/examples/tensorzero/mcp_server/Dockerfile +++ b/examples/tensorzero/mcp_server/Dockerfile @@ -10,7 +10,7 @@ RUN pip install uv # Copy dependency files only COPY pyproject.toml /tmp/ -COPY uv.lock /tmp/ +#COPY uv.lock /tmp/ # Install dependencies WORKDIR /tmp @@ -21,5 +21,5 @@ WORKDIR /app # These files will come from the volume mount at runtime EXPOSE 8000 -ENTRYPOINT ["/app/examples/tensorzero/mcp_server/entrypoint.sh"] -CMD ["uvicorn", "examples.tensorzero.mcp_server.mcp_server:app", "--host", "0.0.0.0", "--port", "8000"] +ENTRYPOINT ["/app/entrypoint.sh"] +CMD ["uvicorn", "mcp_server:app", "--host", "0.0.0.0", "--port", "8000"] From 6d1133e6d8e3b07614e7d3c6a7d9e6e70e56df9f Mon Sep 17 00:00:00 2001 From: makarenko Date: Fri, 1 Aug 2025 14:40:43 -0600 Subject: [PATCH 08/16] feat: Create isolated uv dependencies for MCP server --- pyproject.toml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/pyproject.toml b/pyproject.toml index 36858d06..4c615bdf 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -136,3 +136,6 @@ ignore=["E501"] # More lenient settings for existing code [tool.ruff.lint.per-file-ignores] "tests/*" = ["ANN"] # Don't require type annotations in tests + +[tool.uv.workspace] +members = ["examples/tensorzero/mcp_server"] From c82ab4ce2a7c7ac0eda0690d0963dd679c1ae989 Mon Sep 17 00:00:00 2001 From: makarenko Date: Fri, 1 Aug 2025 14:42:52 -0600 Subject: [PATCH 09/16] feat: Pin python version and add pyproject.toml --- examples/tensorzero/mcp_server/.python-version | 1 + examples/tensorzero/mcp_server/pyproject.toml | 11 +++++++++++ 2 files changed, 12 insertions(+) create mode 100644 examples/tensorzero/mcp_server/.python-version create mode 100644 examples/tensorzero/mcp_server/pyproject.toml diff --git a/examples/tensorzero/mcp_server/.python-version b/examples/tensorzero/mcp_server/.python-version new file mode 100644 index 00000000..e4fba218 --- /dev/null +++ b/examples/tensorzero/mcp_server/.python-version @@ -0,0 +1 @@ +3.12 diff --git a/examples/tensorzero/mcp_server/pyproject.toml b/examples/tensorzero/mcp_server/pyproject.toml new file mode 100644 index 00000000..a4e8860c --- /dev/null +++ b/examples/tensorzero/mcp_server/pyproject.toml @@ -0,0 +1,11 @@ +[project] +name = "mcp-server" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "fastmcp>=2.10.6", + "starlette>=0.46.2", + "uvicorn>=0.34.3", +] From 598001b2f31954c3e1cf7d77310cd45af8eadf19 Mon Sep 17 00:00:00 2001 From: makarenko Date: Fri, 1 Aug 2025 14:50:32 -0600 Subject: [PATCH 10/16] fix: Test should use docker --- tests/e2e/conftest.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/e2e/conftest.py b/tests/e2e/conftest.py index 300cc3df..d6c7954e 100644 --- a/tests/e2e/conftest.py +++ b/tests/e2e/conftest.py @@ -94,7 +94,7 @@ def tensorzero_docker_env(project_root): """Ensures the TensorZero docker-compose environment is running.""" compose_file = project_root / "examples" / "tensorzero" / "docker-compose.yml" compose_dir = compose_file.parent - compose_cmd = ["docker-compose", "-f", str(compose_file)] + compose_cmd = ["docker", "compose", "-f", str(compose_file)] print(f"\nEnsuring TensorZero Docker environment is up ({compose_file})...") try: From ca4be9f2be0ad34289bcb0e5db826f20fb45ca92 Mon Sep 17 00:00:00 2001 From: aaronpolhamus Date: Mon, 4 Aug 2025 19:50:30 -0600 Subject: [PATCH 11/16] migrate T0 migration to openAI interface --- src/mcp_agent/llm/model_factory.py | 6 +- .../llm/providers/augmented_llm_tensorzero.py | 441 ---- .../augmented_llm_tensorzero_openai.py | 126 ++ .../multipart_converter_tensorzero.py | 201 -- uv.lock | 1983 ++++++++--------- 5 files changed, 1095 insertions(+), 1662 deletions(-) delete mode 100644 src/mcp_agent/llm/providers/augmented_llm_tensorzero.py create mode 100644 src/mcp_agent/llm/providers/augmented_llm_tensorzero_openai.py delete mode 100644 src/mcp_agent/llm/providers/multipart_converter_tensorzero.py diff --git a/src/mcp_agent/llm/model_factory.py b/src/mcp_agent/llm/model_factory.py index 1b518dcf..43fd8cfc 100644 --- a/src/mcp_agent/llm/model_factory.py +++ b/src/mcp_agent/llm/model_factory.py @@ -22,7 +22,7 @@ from mcp_agent.llm.providers.augmented_llm_groq import GroqAugmentedLLM from mcp_agent.llm.providers.augmented_llm_openai import OpenAIAugmentedLLM from mcp_agent.llm.providers.augmented_llm_openrouter import OpenRouterAugmentedLLM -from mcp_agent.llm.providers.augmented_llm_tensorzero import TensorZeroAugmentedLLM +from mcp_agent.llm.providers.augmented_llm_tensorzero_openai import TensorZeroOpenAIAugmentedLLM from mcp_agent.llm.providers.augmented_llm_xai import XAIAugmentedLLM from mcp_agent.mcp.interfaces import AugmentedLLMProtocol @@ -39,7 +39,7 @@ Type[SlowLLM], Type[DeepSeekAugmentedLLM], Type[OpenRouterAugmentedLLM], - Type[TensorZeroAugmentedLLM], + Type[TensorZeroOpenAIAugmentedLLM], Type[GoogleNativeAugmentedLLM], Type[GenericAugmentedLLM], Type[AzureOpenAIAugmentedLLM], @@ -157,7 +157,7 @@ class ModelFactory: Provider.GOOGLE: GoogleNativeAugmentedLLM, Provider.XAI: XAIAugmentedLLM, Provider.OPENROUTER: OpenRouterAugmentedLLM, - Provider.TENSORZERO: TensorZeroAugmentedLLM, + Provider.TENSORZERO: TensorZeroOpenAIAugmentedLLM, Provider.AZURE: AzureOpenAIAugmentedLLM, Provider.ALIYUN: AliyunAugmentedLLM, Provider.BEDROCK: BedrockAugmentedLLM, diff --git a/src/mcp_agent/llm/providers/augmented_llm_tensorzero.py b/src/mcp_agent/llm/providers/augmented_llm_tensorzero.py deleted file mode 100644 index f68c593b..00000000 --- a/src/mcp_agent/llm/providers/augmented_llm_tensorzero.py +++ /dev/null @@ -1,441 +0,0 @@ -import json -from typing import Any, Dict, List, Optional, Tuple, Union - -from mcp.types import ( - CallToolRequest, - CallToolRequestParams, - CallToolResult, - ContentBlock, - TextContent, -) -from tensorzero import AsyncTensorZeroGateway -from tensorzero.types import ( - ChatInferenceResponse, - JsonInferenceResponse, - TensorZeroError, -) - -from mcp_agent.agents.agent import Agent -from mcp_agent.core.exceptions import ModelConfigError -from mcp_agent.core.request_params import RequestParams -from mcp_agent.llm.augmented_llm import AugmentedLLM -from mcp_agent.llm.memory import Memory, SimpleMemory -from mcp_agent.llm.provider_types import Provider -from mcp_agent.llm.providers.multipart_converter_tensorzero import TensorZeroConverter -from mcp_agent.mcp.prompt_message_multipart import PromptMessageMultipart - - -class TensorZeroAugmentedLLM(AugmentedLLM[Dict[str, Any], Any]): - """ - AugmentedLLM implementation for TensorZero using its native API. - Uses the Converter pattern for message formatting. - Implements multi-turn tool calling logic, storing API dicts in history. - """ - - def __init__( - self, - agent: Agent, - model: str, - request_params: Optional[RequestParams] = None, - **kwargs: Any, - ): - self._t0_gateway: Optional[AsyncTensorZeroGateway] = None - self._t0_function_name: str = model - self._t0_episode_id: Optional[str] = kwargs.get("episode_id") - - super().__init__( - agent=agent, - model=model, - provider=Provider.TENSORZERO, - request_params=request_params, - **kwargs, - ) - - self.history: Memory[Dict[str, Any]] = SimpleMemory[Dict[str, Any]]() - - self.logger.info( - f"TensorZero LLM provider initialized for function '{self._t0_function_name}'. History type: {type(self.history)}" - ) - - @staticmethod - def block_to_dict(block: Any) -> Dict[str, Any]: - if hasattr(block, "model_dump"): - try: - dumped = block.model_dump(mode="json") - if dumped: - return dumped - except Exception: - pass - if hasattr(block, "__dict__"): - try: - block_vars = vars(block) - if block_vars: - return block_vars - except Exception: - pass - if isinstance(block, (str, int, float, bool, list, dict, type(None))): - return {"type": "raw", "content": block} - - # Basic attribute extraction as fallback - d = {"type": getattr(block, "type", "unknown")} - for attr in ["id", "name", "text", "arguments"]: - if hasattr(block, attr): - d[attr] = getattr(block, attr) - if len(d) == 1 and d.get("type") == "unknown": - d["content"] = str(block) - return d - - def _initialize_default_params(self, kwargs: dict) -> RequestParams: - func_name = kwargs.get("model", self._t0_function_name or "unknown_t0_function") - return RequestParams( - model=func_name, - systemPrompt=self.instruction, - maxTokens=4096, - use_history=True, - max_iterations=20, # Max iterations for tool use loop - parallel_tool_calls=True, - ) - - async def _initialize_gateway(self) -> AsyncTensorZeroGateway: - if self._t0_gateway is None: - self.logger.debug("Initializing AsyncTensorZeroGateway client...") - try: - base_url: Optional[str] = None - default_url = "http://localhost:3000" - - if ( - self.context - and self.context.config - and hasattr(self.context.config, "tensorzero") - and self.context.config.tensorzero - ): - base_url = getattr(self.context.config.tensorzero, "base_url", None) - - if not base_url: - if not self.context: - # Handle case where context itself is missing, log and use default - self.logger.warning( - f"LLM context not found. Cannot read TensorZero Gateway base URL configuration. " - f"Using default: {default_url}" - ) - else: - self.logger.warning( - f"TensorZero Gateway base URL not configured in context.config.tensorzero.base_url. " - f"Using default: {default_url}" - ) - - base_url = default_url - - self._t0_gateway = await AsyncTensorZeroGateway.build_http(gateway_url=base_url) # type: ignore - self.logger.info(f"TensorZero Gateway client initialized for URL: {base_url}") - except Exception as e: - self.logger.error(f"Failed to initialize TensorZero Gateway: {e}") - raise ModelConfigError(f"Failed to initialize TensorZero Gateway lazily: {e}") - - return self._t0_gateway - - async def _apply_prompt_provider_specific( - self, - multipart_messages: List[PromptMessageMultipart], - request_params: Optional[RequestParams] = None, - is_template: bool = False, - ) -> PromptMessageMultipart: - gateway = await self._initialize_gateway() - merged_params = self.get_request_params(request_params) - - # [1] Retrieve history - current_api_messages: List[Dict[str, Any]] = [] - if merged_params.use_history: - try: - current_api_messages = self.history.get() or [] - self.logger.debug( - f"Retrieved {len(current_api_messages)} API dict messages from history." - ) - except Exception as e: - self.logger.error(f"Error retrieving history: {e}") - - # [2] Convert *new* incoming PromptMessageMultipart messages to API dicts - for msg in multipart_messages: - msg_dict = TensorZeroConverter.convert_mcp_to_t0_message(msg) - if msg_dict: - current_api_messages.append(msg_dict) - - t0_system_vars = self._prepare_t0_system_params(merged_params) - if t0_system_vars: - t0_api_input_dict = {"system": t0_system_vars} - else: - t0_api_input_dict = {} - available_tools: Optional[List[Dict[str, Any]]] = await self._prepare_t0_tools() - - # [3] Initialize storage arrays for the text content of the assistant message reply and, optionally, tool calls and results, and begin inference loop - final_assistant_message: List[ContentBlock] = [] - last_executed_results: Optional[List[CallToolResult]] = None - - for i in range(merged_params.max_iterations): - use_parallel_calls = merged_params.parallel_tool_calls if available_tools else False - current_t0_episode_id = self._t0_episode_id - - try: - self.logger.debug( - f"Calling TensorZero inference (Iteration {i + 1}/{merged_params.max_iterations})..." - ) - t0_api_input_dict["messages"] = current_api_messages # type: ignore - - # [4] Call the TensorZero inference API - response_iter_or_completion = await gateway.inference( - function_name=self._t0_function_name, - input=t0_api_input_dict, - additional_tools=available_tools, - parallel_tool_calls=use_parallel_calls, - stream=False, - episode_id=current_t0_episode_id, - ) - - if not isinstance( - response_iter_or_completion, (ChatInferenceResponse, JsonInferenceResponse) - ): - self.logger.error( - f"Unexpected TensorZero response type: {type(response_iter_or_completion)}" - ) - final_assistant_message = [ - TextContent(type="text", text="Unexpected response type") - ] - break # Exit loop - - # [5] quick check to confirm that episode_id is present and being used correctly by TensorZero - completion = response_iter_or_completion - if completion.episode_id: # - self._t0_episode_id = str(completion.episode_id) - if ( - self._t0_episode_id != current_t0_episode_id - and current_t0_episode_id is not None - ): - raise Exception( - f"Episode ID mismatch: {self._t0_episode_id} != {current_t0_episode_id}" - ) - - # [6] Adapt TensorZero inference response to a format compatible with the broader framework - ( - content_parts_this_turn, # Text/Image content ONLY - executed_results_this_iter, # Results from THIS iteration - raw_tool_call_blocks, - ) = await self._adapt_t0_native_completion(completion, available_tools) - - last_executed_results = ( - executed_results_this_iter # Track results from this iteration - ) - - # [7] If a text message was returned from the assistant, format that message using the multipart_converter_tensorzero.py helper methods and add this to the current list of API messages - assistant_api_content = [] - for part in content_parts_this_turn: - api_part = TensorZeroConverter._convert_content_part(part) - if api_part: - assistant_api_content.append(api_part) - if raw_tool_call_blocks: - assistant_api_content.extend( - [self.block_to_dict(b) for b in raw_tool_call_blocks] - ) - - if assistant_api_content: - assistant_api_message_dict = { - "role": "assistant", - "content": assistant_api_content, - } - current_api_messages.append(assistant_api_message_dict) - elif executed_results_this_iter: - self.logger.debug( - "Assistant turn contained only tool calls, no API message added." - ) - - final_assistant_message = content_parts_this_turn - - # [8] If there were no tool calls we're done. If not, format the tool results and add them to the current list of API messages - if not executed_results_this_iter: - self.logger.debug(f"Iteration {i + 1}: No tool calls detected. Finishing loop.") - break - else: - user_message_with_results = ( - TensorZeroConverter.convert_tool_results_to_t0_user_message( - executed_results_this_iter - ) - ) - if user_message_with_results: - current_api_messages.append(user_message_with_results) - else: - self.logger.error("Converter failed to format tool results, breaking loop.") - break - - # Check max iterations: TODO: implement logic in the future to handle this dynamically, checking for the presence of a tool call in the last iteration - if i == merged_params.max_iterations - 1: - self.logger.warning(f"Max iterations ({merged_params.max_iterations}) reached.") - break - - # --- Error Handling for Inference Call --- - except TensorZeroError as e: - error_details = getattr(e, "detail", str(e.args[0] if e.args else e)) - self.logger.error(f"TensorZero Error (HTTP {e.status_code}): {error_details}") - error_content = TextContent(type="text", text=f"TensorZero Error: {error_details}") - return PromptMessageMultipart(role="assistant", content=[error_content]) - except Exception as e: - import traceback - - self.logger.error(f"Unexpected Error: {e}\n{traceback.format_exc()}") - error_content = TextContent(type="text", text=f"Unexpected error: {e}") - return PromptMessageMultipart(role="assistant", content=[error_content]) - - # [9] Construct the final assistant message and update history - final_message_to_return = PromptMessageMultipart( - role="assistant", content=final_assistant_message - ) - - if merged_params.use_history: - try: - # Store the final list of API DICTIONARIES in history - self.history.set(current_api_messages) - self.logger.debug( - f"Updated self.history with {len(current_api_messages)} API message dicts." - ) - except Exception as e: - self.logger.error(f"Failed to update self.history after loop: {e}") - - # [10] Post final assistant message to display - display_text = final_message_to_return.all_text() - if display_text and display_text != "": - title = f"ASSISTANT/{self._t0_function_name}" - await self.show_assistant_message(message_text=display_text, title=title) - - elif not final_assistant_message and last_executed_results: - self.logger.debug("Final assistant turn involved only tool calls, no text to display.") - - return final_message_to_return - - def _prepare_t0_system_params(self, merged_params: RequestParams) -> Dict[str, Any]: - """Prepares the 'system' dictionary part of the main input.""" - t0_func_input = merged_params.template_vars.copy() - - metadata_args = None - if merged_params.metadata and isinstance(merged_params.metadata, dict): - metadata_args = merged_params.metadata.get("tensorzero_arguments") - if isinstance(metadata_args, dict): - t0_func_input.update(metadata_args) - self.logger.debug(f"Merged tensorzero_arguments from metadata: {metadata_args}") - return t0_func_input - - async def _prepare_t0_tools(self) -> Optional[List[Dict[str, Any]]]: - """Fetches and formats tools for the additional_tools parameter.""" - formatted_tools: List[Dict[str, Any]] = [] - try: - tools_response = await self.aggregator.list_tools() - if tools_response and hasattr(tools_response, "tools") and tools_response.tools: - for mcp_tool in tools_response.tools: - if ( - not isinstance(mcp_tool.inputSchema, dict) - or mcp_tool.inputSchema.get("type") != "object" - ): - self.logger.warning( - f"Tool '{mcp_tool.name}' has invalid parameters schema. Skipping." - ) - continue - t0_tool_dict = { - "name": mcp_tool.name, - "description": mcp_tool.description if mcp_tool.description else "", - "parameters": mcp_tool.inputSchema, - } - formatted_tools.append(t0_tool_dict) - return formatted_tools if formatted_tools else None - except Exception as e: - self.logger.error(f"Failed to fetch or format tools: {e}") - return None - - async def _adapt_t0_native_completion( - self, - completion: Union[ChatInferenceResponse, JsonInferenceResponse], - available_tools_for_display: Optional[List[Dict[str, Any]]] = None, - ) -> Tuple[ - List[Union[ContentBlock]], # Text/Image content ONLY - List[CallToolResult], # Executed results - List[Any], # Raw tool_call blocks - ]: - content_parts_this_turn: List[ContentBlock] = [] - executed_tool_results: List[CallToolResult] = [] - raw_tool_call_blocks_from_t0: List[Any] = [] - - if isinstance(completion, ChatInferenceResponse) and hasattr(completion, "content"): - for block in completion.content: - block_type = getattr(block, "type", "UNKNOWN") - - if block_type == "text": - text_val = getattr(block, "text", None) - if text_val is not None: - content_parts_this_turn.append(TextContent(type="text", text=text_val)) - - elif block_type == "tool_call": - raw_tool_call_blocks_from_t0.append(block) - tool_use_id = getattr(block, "id", None) - tool_name = getattr(block, "name", None) - tool_input_raw = getattr(block, "arguments", None) - tool_input = {} - if isinstance(tool_input_raw, dict): - tool_input = tool_input_raw - elif isinstance(tool_input_raw, str): - try: - tool_input = json.loads(tool_input_raw) - except json.JSONDecodeError: - tool_input = {} - elif tool_input_raw is not None: - tool_input = {} - - if tool_use_id and tool_name: - self.show_tool_call( - available_tools_for_display, tool_name, json.dumps(tool_input) - ) - mcp_tool_request = CallToolRequest( - method="tools/call", - params=CallToolRequestParams(name=tool_name, arguments=tool_input), - ) - try: - result: CallToolResult = await self.call_tool( - mcp_tool_request, tool_use_id - ) - setattr(result, "_t0_tool_use_id_temp", tool_use_id) - setattr(result, "_t0_tool_name_temp", tool_name) - setattr(result, "_t0_is_error_temp", False) - executed_tool_results.append(result) - self.show_tool_result(result) - except Exception as e: - self.logger.error( - f"Error executing tool {tool_name} (id: {tool_use_id}): {e}" - ) - error_text = f"Error executing tool {tool_name}: {str(e)}" - error_result = CallToolResult( - isError=True, content=[TextContent(type="text", text=error_text)] - ) - setattr(error_result, "_t0_tool_use_id_temp", tool_use_id) - setattr(error_result, "_t0_tool_name_temp", tool_name) - setattr(error_result, "_t0_is_error_temp", True) - executed_tool_results.append(error_result) - self.show_tool_result(error_result) - - elif block_type == "thought": - thought_text = getattr(block, "text", None) - self.logger.debug(f"TensorZero thought: {thought_text}") - else: - self.logger.warning( - f"TensorZero Adapt: Skipping unknown block type: {block_type}" - ) - - elif isinstance(completion, JsonInferenceResponse): - # `completion.output.raw` should always be present unless the LLM provider returns unexpected data - if completion.output.raw: - content_parts_this_turn.append(TextContent(type="text", text=completion.output.raw)) - - return content_parts_this_turn, executed_tool_results, raw_tool_call_blocks_from_t0 - - async def shutdown(self): - """Close the TensorZero gateway client if initialized.""" - if self._t0_gateway: - try: - await self._t0_gateway.close() - self.logger.debug("TensorZero Gateway client closed.") - except Exception as e: - self.logger.error(f"Error closing TensorZero Gateway client: {e}") diff --git a/src/mcp_agent/llm/providers/augmented_llm_tensorzero_openai.py b/src/mcp_agent/llm/providers/augmented_llm_tensorzero_openai.py new file mode 100644 index 00000000..a7bd7e6d --- /dev/null +++ b/src/mcp_agent/llm/providers/augmented_llm_tensorzero_openai.py @@ -0,0 +1,126 @@ +from typing import Any, Dict, List, Optional +from openai.types.chat import ChatCompletionMessageParam, ChatCompletionSystemMessageParam + +from mcp_agent.core.request_params import RequestParams +from mcp_agent.llm.provider_types import Provider +from mcp_agent.llm.providers.augmented_llm_openai import OpenAIAugmentedLLM + + +class TensorZeroOpenAIAugmentedLLM(OpenAIAugmentedLLM): + """ + An LLM augmentation that interacts with TensorZero's OpenAI-compatible inference endpoint. + This class extends the base OpenAIAugmentedLLM to handle TensorZero-specific + features, such as system template variables and custom parameters. + """ + + def __init__(self, *args, **kwargs) -> None: + """ + Initializes the TensorZeroOpenAIAugmentedLLM. + + Args: + *args: Variable length argument list. + **kwargs: Arbitrary keyword arguments. + """ + self._t0_episode_id = kwargs.pop("episode_id", None) + self._t0_function_name = kwargs.get("model", "") + + super().__init__(*args, provider=Provider.TENSORZERO, **kwargs) + self.logger.info("TensorZeroOpenAIAugmentedLLM initialized.") + + def _initialize_default_params(self, kwargs: dict) -> RequestParams: + """ + Initializes TensorZero-specific default parameters. Ensures the model name + is correctly prefixed for the TensorZero API. + """ + model = kwargs.get("model", "") + if not model.startswith("tensorzero::"): + model = f"tensorzero::function_name::{model}" + + self.logger.debug(f"Initializing with TensorZero model: {model}") + + return RequestParams( + model=model, + systemPrompt=self.instruction, + parallel_tool_calls=True, + max_iterations=10, + use_history=True, + ) + + def _base_url(self) -> str: + """ + Constructs the TensorZero OpenAI-compatible endpoint URL. + """ + default_url = "http://localhost:3000/openai/v1" + if self.context and self.context.config and hasattr(self.context.config, "tensorzero"): + base_url = getattr(self.context.config.tensorzero, "base_url", default_url) + # Ensure the path is correctly appended + if not base_url.endswith('/openai/v1'): + base_url = f"{base_url.rstrip('/')}/openai/v1" + self.logger.debug(f"Using TensorZero base URL from config: {base_url}") + return base_url + self.logger.debug(f"Using default TensorZero base URL: {default_url}") + return default_url + + def _prepare_api_request( + self, + messages: List[ChatCompletionMessageParam], + tools: Optional[List[Any]], + request_params: RequestParams + ) -> Dict[str, Any]: + """ + Prepares the API request for the TensorZero OpenAI-compatible endpoint. + This method injects system template variables and other TensorZero-specific + parameters into the request. It also handles multimodal inputs. + """ + self.logger.debug("Preparing API request for TensorZero OpenAI endpoint.") + + # Start with the base arguments from the parent class + arguments = super()._prepare_api_request(messages, tools, request_params) + + # Handle system template variables + if request_params.template_vars: + self.logger.debug(f"Injecting template variables: {request_params.template_vars}") + system_message_found = False + for i, msg in enumerate(messages): + if msg.get("role") == "system": + # If content is a string, convert it to the TensorZero format + if isinstance(msg.get("content"), str): + messages[i] = ChatCompletionSystemMessageParam( + role="system", + content=[request_params.template_vars] + ) + elif isinstance(msg.get("content"), list): + # If content is already a list, merge the template vars + msg["content"][0].update(request_params.template_vars) + system_message_found = True + break + + if not system_message_found: + # If no system message exists, create one + messages.insert(0, ChatCompletionSystemMessageParam( + role="system", + content=[request_params.template_vars] + )) + + # Add TensorZero-specific extra body parameters + extra_body = arguments.get("extra_body", {}) + + if self._t0_episode_id: + extra_body["tensorzero::episode_id"] = str(self._t0_episode_id) + self.logger.debug(f"Added tensorzero::episode_id: {self._t0_episode_id}") + + # Merge metadata arguments + if request_params.metadata and isinstance(request_params.metadata, dict): + t0_args = request_params.metadata.get("tensorzero_arguments") + if t0_args: + self.logger.debug(f"Merging tensorzero_arguments from metadata: {t0_args}") + for msg in messages: + if msg.get("role") == "system" and isinstance(msg.get("content"), list): + msg["content"][0].update(t0_args) + break + + if extra_body: + arguments["extra_body"] = extra_body + + self.logger.debug(f"Final API request arguments: {arguments}") + return arguments \ No newline at end of file diff --git a/src/mcp_agent/llm/providers/multipart_converter_tensorzero.py b/src/mcp_agent/llm/providers/multipart_converter_tensorzero.py deleted file mode 100644 index 74240363..00000000 --- a/src/mcp_agent/llm/providers/multipart_converter_tensorzero.py +++ /dev/null @@ -1,201 +0,0 @@ -import json -from typing import Any, Dict, List, Optional - -from mcp.types import ( - CallToolResult, - ContentBlock, - EmbeddedResource, - ImageContent, - TextContent, -) - -from mcp_agent.logging.logger import get_logger -from mcp_agent.mcp.helpers.content_helpers import ( - get_text, -) -from mcp_agent.mcp.prompt_message_multipart import PromptMessageMultipart - -_logger = get_logger(__name__) - - -class TensorZeroConverter: - """Converts MCP message types to/from TensorZero API format.""" - - @staticmethod - def _convert_content_part( - part: ContentBlock, - ) -> Optional[Dict[str, Any]]: - """Converts a single MCP content part to a T0 content block dictionary.""" - if isinstance(part, TextContent): - text = get_text(part) - if text is not None: - return {"type": "text", "text": text} - elif isinstance(part, ImageContent): - # Handle Base64: needs data, mimeType (and mimeType must not be empty) - if hasattr(part, "data") and part.data and hasattr(part, "mimeType") and part.mimeType: - _logger.debug( - f"Converting ImageContent as base64 for T0 native: mime={part.mimeType}, data_len={len(part.data) if isinstance(part.data, str) else 'N/A'}" - ) - supported_mime_types = ["image/jpeg", "image/png", "image/webp"] - mime_type = getattr(part, "mimeType", "") - - # Use the provided mime_type if supported, otherwise default to png - if mime_type not in supported_mime_types: - _logger.warning( - f"Unsupported mimeType '{mime_type}' for T0 base64 image, defaulting to image/png." - ) - mime_type = "image/png" - - return { - "type": "image", - "mime_type": mime_type, # Note: T0 uses mime_type, not media_type - "data": getattr(part, "data", ""), # Data is direct property - } - else: - # Log cases where it's an ImageContent but doesn't fit Base64 criteria - _logger.warning( - f"Skipping ImageContent: Missing required base64 fields (mimeType/data), or mimeType is empty: {part}" - ) - - elif isinstance(part, EmbeddedResource): - _logger.warning(f"Skipping EmbeddedResource, T0 conversion not implemented: {part}") - else: - _logger.error( - f"Unsupported content part type for T0 conversion: {type(part)}" - ) # Changed to error - - return None # Return None if no block was successfully created - - @staticmethod - def _get_text_from_call_tool_result(result: CallToolResult) -> str: - """Helper to extract combined text from a CallToolResult's content list.""" - texts = [] - if result.content: - for part in result.content: - text = get_text(part) - if text: - texts.append(text) - return "\n".join(texts) - - @staticmethod - def convert_tool_results_to_t0_user_message( - results: List[CallToolResult], - ) -> Optional[Dict[str, Any]]: - """Formats CallToolResult list into T0's tool_result blocks within a user message dict.""" - t0_tool_result_blocks = [] - for result in results: - tool_use_id = getattr(result, "_t0_tool_use_id_temp", None) - tool_name = getattr(result, "_t0_tool_name_temp", None) - - if tool_use_id and tool_name: - result_content_str = TensorZeroConverter._get_text_from_call_tool_result(result) - try: - # Attempt to treat result as JSON if possible, else use raw string - try: - json_result = json.loads(result_content_str) - except json.JSONDecodeError: - json_result = result_content_str # Fallback to string if not valid JSON - except Exception as e: - _logger.error(f"Unexpected error processing tool result content: {e}") - json_result = str(result_content_str) # Safest fallback - - t0_block = { - "type": "tool_result", - "id": tool_use_id, - "name": tool_name, - "result": json_result, # T0 expects the result directly - } - t0_tool_result_blocks.append(t0_block) - - # Clean up temporary attributes - try: - delattr(result, "_t0_tool_use_id_temp") - delattr(result, "_t0_tool_name_temp") - if hasattr(result, "_t0_is_error_temp"): - delattr(result, "_t0_is_error_temp") - except AttributeError: - pass - else: - _logger.warning( - f"Could not find id/name temp attributes for CallToolResult: {result}" - ) - - if not t0_tool_result_blocks: - return None - - return {"role": "user", "content": t0_tool_result_blocks} - - @staticmethod - def convert_mcp_to_t0_message(msg: PromptMessageMultipart) -> Optional[Dict[str, Any]]: - """ - Converts a single PromptMessageMultipart to a T0 API message dictionary. - Handles Text, Image, and embedded CallToolResult content. - Skips system messages. - """ - if msg.role == "system": - return None - - t0_content_blocks = [] - contains_tool_result = False - - for part in msg.content: - # Use the corrected _convert_content_part - converted_block = TensorZeroConverter._convert_content_part(part) - if converted_block: - t0_content_blocks.append(converted_block) - elif isinstance(part, CallToolResult): - # Existing logic for handling embedded CallToolResult (seems compatible with T0 tool_result spec) - contains_tool_result = True - tool_use_id = getattr(part, "_t0_tool_use_id_temp", None) - tool_name = getattr(part, "_t0_tool_name_temp", None) - if tool_use_id and tool_name: - result_content_str = TensorZeroConverter._get_text_from_call_tool_result(part) - # Try to format result as JSON object/string - try: - json_result = json.loads(result_content_str) - except json.JSONDecodeError: - json_result = result_content_str # Fallback - except Exception as e: - _logger.error(f"Error processing embedded tool result: {e}") - json_result = str(result_content_str) - - t0_content_blocks.append( - { - "type": "tool_result", - "id": tool_use_id, - "name": tool_name, - "result": json_result, - } - ) - # Clean up temp attributes - try: - delattr(part, "_t0_tool_use_id_temp") - delattr(part, "_t0_tool_name_temp") - except AttributeError: - pass - else: - _logger.warning( - f"Found embedded CallToolResult without required temp attributes: {part}" - ) - # Note: The _convert_content_part handles logging for other skipped/unsupported types - - if not t0_content_blocks: - return None - - # Determine role - logic remains the same - valid_role = msg.role if msg.role in ["user", "assistant"] else "user" - if contains_tool_result and all( - block.get("type") == "tool_result" for block in t0_content_blocks - ): - final_role = "user" - if valid_role != final_role: - _logger.debug(f"Overriding role to '{final_role}' for tool result message.") - else: - final_role = valid_role - if valid_role != msg.role: - _logger.warning(f"Mapping message role '{msg.role}' to '{valid_role}' for T0.") - - return {"role": final_role, "content": t0_content_blocks} - - # Add methods here if needed to convert *from* T0 format back to MCP types - # e.g., adapt_t0_response_to_mcp(...) - this logic stays in the LLM class for now diff --git a/uv.lock b/uv.lock index 14529002..db947132 100644 --- a/uv.lock 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size = 9796, upload-time = "2025-05-26T14:46:30.775Z" }, ] From 03915acb4c88812569e75d8e89656dfa4fdfba55 Mon Sep 17 00:00:00 2001 From: aaronpolhamus Date: Mon, 4 Aug 2025 21:04:39 -0600 Subject: [PATCH 12/16] add t0 quickstart --- hatch_build.py | 1 + src/mcp_agent/cli/commands/quickstart.py | 107 +++++++++ uv.lock | 294 +++++++++++++++++++++++ 3 files changed, 402 insertions(+) diff --git a/hatch_build.py b/hatch_build.py index 1b9ff3d1..b9974229 100644 --- a/hatch_build.py +++ b/hatch_build.py @@ -29,6 +29,7 @@ def initialize(self, version: str, build_data: Dict[str, Any]) -> None: # examples/mcp/state-transfer -> src/mcp_agent/resources/examples/mcp/state-transfer "examples/mcp/state-transfer": "src/mcp_agent/resources/examples/mcp/state-transfer", "examples/mcp/elicitations": "src/mcp_agent/resources/examples/mcp/elicitations", + "examples/tensorzero": "src/mcp_agent/resources/examples/tensorzero", } print("Fast-agent build: Copying examples to resources...") diff --git a/src/mcp_agent/cli/commands/quickstart.py b/src/mcp_agent/cli/commands/quickstart.py index 33fa56f1..56c1298d 100644 --- a/src/mcp_agent/cli/commands/quickstart.py +++ b/src/mcp_agent/cli/commands/quickstart.py @@ -76,6 +76,25 @@ ], "create_subdir": True, }, + "tensorzero": { + "description": "A complete example showcasing the TensorZero integration.\n" + "Includes the T0 Gateway, an MCP server, an interactive agent, and \n" + "multi-modal functionality.", + "files": [ + ".env.sample", + "Makefile", + "README.md", + "agent.py", + "docker-compose.yml", + "fastagent.config.yaml", + "image_demo.py", + "simple_agent.py", + "mcp_server/", + "demo_images/", + "tensorzero_config/" + ], + "create_subdir": True, + }, } @@ -225,6 +244,27 @@ def copy_example_files(example_type: str, target_dir: Path, force: bool = False) return created +def copy_project_template(source_dir: Path, dest_dir: Path, console: Console, force: bool = False): + """ + Recursively copies a project template directory. + This is a helper to handle project-based quickstarts like TensorZero. + """ + if dest_dir.exists(): + if force: + console.print(f"[yellow]--force specified. Removing existing directory: {dest_dir}[/yellow]") + shutil.rmtree(dest_dir) + else: + console.print(f"[bold yellow]Directory '{dest_dir.name}' already exists.[/bold yellow] Use --force to overwrite.") + return False + + try: + shutil.copytree(source_dir, dest_dir) + return True + except Exception as e: + console.print(f"[red]Error copying project template: {e}[/red]") + return False + + def show_overview() -> None: """Display an overview of available examples in a nicely formatted table.""" console.print("\n[bold cyan]fast-agent quickstarts[/bold cyan]") @@ -397,6 +437,73 @@ def _show_completion_message(example_type: str, created: list[str]) -> None: console.print("\n[yellow]No files were created.[/yellow]") +@app.command(name="tensorzero", help="Create the TensorZero integration example project.") +def tensorzero( + directory: Path = typer.Argument( + Path("."), + help="Directory where the 'tensorzero' project folder will be created.", + ), + force: bool = typer.Option(False, "--force", "-f", help="Force overwrite if project directory exists"), +): + """Create the TensorZero project example.""" + console.print("[bold green]Setting up the TensorZero quickstart example...[/bold green]") + + dest_project_dir = directory.resolve() / "tensorzero" + + # --- Find Source Directory --- + from importlib.resources import files + try: + # This path MUST match the "to" path from hatch_build.py + source_dir = files("mcp_agent").joinpath("resources").joinpath("examples").joinpath("tensorzero") + if not source_dir.is_dir(): + raise FileNotFoundError # Fallback to dev mode if resource isn't a dir + except (ImportError, ModuleNotFoundError, FileNotFoundError): + console.print("[yellow]Package resources not found. Falling back to development mode.[/yellow]") + # This path is relative to the project root in a development environment + source_dir = Path(__file__).parent.parent.parent.parent / "examples" / "tensorzero" + + if not source_dir.exists() or not source_dir.is_dir(): + console.print(f"[red]Error: Source project directory not found at '{source_dir}'[/red]") + raise typer.Exit(1) + + console.print(f"Source directory: [dim]{source_dir}[/dim]") + console.print(f"Destination: [dim]{dest_project_dir}[/dim]") + + # --- Copy Project and Show Message --- + if copy_project_template(source_dir, dest_project_dir, console, force): + console.print( + f"\n[bold green]✅ Success![/bold green] Your TensorZero project has been created in: [cyan]{dest_project_dir}[/cyan]" + ) + console.print("\n[bold yellow]Next Steps:[/bold yellow]") + console.print("\n1. [bold]Navigate to your new project directory:[/bold]") + console.print(f" [cyan]cd {dest_project_dir.relative_to(Path.cwd())}[/cyan]") + + console.print("\n2. [bold]Set up your API keys:[/bold]") + console.print(" [cyan]cp .env.sample .env[/cyan]") + console.print( + " [dim]Then, open the new '.env' file and add your OpenAI or Anthropic API key.[/dim]" + ) + + console.print("\n3. [bold]Start the required services (TensorZero Gateway & MCP Server):[/bold]") + console.print(" [cyan]docker compose up --build -d[/cyan]") + console.print( + " [dim](This builds and starts the necessary containers in the background)[/dim]" + ) + + console.print("\n4. [bold]Run the interactive agent:[/bold]") + console.print(" [cyan]make agent[/cyan] (or `uv run agent.py`)") + console.print("\nEnjoy exploring the TensorZero integration with fast-agent! ✨") + + +@app.command(name="t0", help="Alias for the TensorZero quickstart.", hidden=True) +def t0_alias( + directory: Path = typer.Argument(Path("."), help="Directory for the 'tensorzero' project folder."), + force: bool = typer.Option(False, "--force", "-f", help="Force overwrite"), +): + """Alias for the `tensorzero` command.""" + tensorzero(directory, force) + + @app.callback(invoke_without_command=True) def main(ctx: typer.Context) -> None: """Quickstart applications for fast-agent.""" diff --git a/uv.lock b/uv.lock index 37114ba5..bd978ade 100644 --- a/uv.lock +++ b/uv.lock @@ -2,6 +2,12 @@ version = 1 revision = 2 requires-python = ">=3.13" +[manifest] +members = [ + "fast-agent-mcp", + "mcp-server", +] + [[package]] name = "a2a-sdk" version = "0.3.0" @@ -134,6 +140,18 @@ wheels = [ { url = 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"https://files.pythonhosted.org/packages/32/af/d4502dc713b4ccea7175d764718d5183caf8d0867a4f0190d5d4a45cea49/werkzeug-3.1.1.tar.gz", hash = "sha256:8cd39dfbdfc1e051965f156163e2974e52c210f130810e9ad36858f0fd3edad4", size = 806453, upload-time = "2024-11-01T16:40:45.462Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ee/ea/c67e1dee1ba208ed22c06d1d547ae5e293374bfc43e0eb0ef5e262b68561/werkzeug-3.1.1-py3-none-any.whl", hash = "sha256:a71124d1ef06008baafa3d266c02f56e1836a5984afd6dd6c9230669d60d9fb5", size = 224371, upload-time = "2024-11-01T16:40:43.994Z" }, +] + [[package]] name = "wrapt" version = "1.17.2" From da66b795123b269194304ed4c2f1dc2e8611bce3 Mon Sep 17 00:00:00 2001 From: aaronpolhamus Date: Mon, 4 Aug 2025 21:08:43 -0600 Subject: [PATCH 13/16] apply formatting --- src/mcp_agent/llm/providers/augmented_llm_tensorzero_openai.py | 1 + 1 file changed, 1 insertion(+) diff --git a/src/mcp_agent/llm/providers/augmented_llm_tensorzero_openai.py b/src/mcp_agent/llm/providers/augmented_llm_tensorzero_openai.py index a7bd7e6d..d236bf01 100644 --- a/src/mcp_agent/llm/providers/augmented_llm_tensorzero_openai.py +++ b/src/mcp_agent/llm/providers/augmented_llm_tensorzero_openai.py @@ -1,4 +1,5 @@ from typing import Any, Dict, List, Optional + from openai.types.chat import ChatCompletionMessageParam, ChatCompletionSystemMessageParam from mcp_agent.core.request_params import RequestParams From d0da0b856e9cc27dc4e64ef3f8627b084b1fefa7 Mon Sep 17 00:00:00 2001 From: aaronpolhamus Date: Mon, 4 Aug 2025 21:27:01 -0600 Subject: [PATCH 14/16] update tests --- .../test_augmented_llm_tensorzero_unit.py | 307 ++++++------------ .../test_multipart_converter_tensorzero.py | 148 --------- 2 files changed, 107 insertions(+), 348 deletions(-) delete mode 100644 tests/unit/mcp_agent/llm/providers/test_multipart_converter_tensorzero.py diff --git a/tests/unit/mcp_agent/llm/providers/test_augmented_llm_tensorzero_unit.py b/tests/unit/mcp_agent/llm/providers/test_augmented_llm_tensorzero_unit.py index 06ae8948..aadb55cc 100644 --- a/tests/unit/mcp_agent/llm/providers/test_augmented_llm_tensorzero_unit.py +++ b/tests/unit/mcp_agent/llm/providers/test_augmented_llm_tensorzero_unit.py @@ -1,228 +1,135 @@ -from unittest.mock import AsyncMock, MagicMock - import pytest -from mcp.types import ( - ListToolsResult, - TextContent, - Tool, -) -from tensorzero.types import ( - ChatInferenceResponse, - FinishReason, - Usage, -) -from tensorzero.types import ( - Text as T0Text, -) -from tensorzero.util import uuid7 +from unittest.mock import MagicMock, patch +from openai.types.chat import ChatCompletionMessageParam, ChatCompletionSystemMessageParam from mcp_agent.agents.agent import Agent from mcp_agent.core.request_params import RequestParams -from mcp_agent.llm.providers.augmented_llm_tensorzero import TensorZeroAugmentedLLM +from mcp_agent.llm.providers.augmented_llm_tensorzero_openai import TensorZeroOpenAIAugmentedLLM + +# --- Fixtures --- @pytest.fixture def mock_agent(): + """Provides a mocked Agent object with a default, empty config.""" agent = MagicMock(spec=Agent) - agent.name = "mock_agent_name" - agent.instruction = "mock instruction" - - mock_config = MagicMock(name="agent_config_mock") - mock_tensorzero_config = MagicMock(name="agent_tensorzero_config_mock") - mock_tensorzero_config.base_url = "http://mock-t0-url" - mock_config.tensorzero = mock_tensorzero_config - - mock_context = MagicMock(name="agent_context_mock") - mock_context.config = mock_config - agent.context = mock_context - - agent.display = MagicMock(name="agent_display_mock") - agent.display.show_tool_call = MagicMock() - agent.display.show_tool_result = MagicMock() - agent.display.show_assistant_message = AsyncMock() - - agent.logger = MagicMock(name="agent_logger_mock") - agent.aggregator = AsyncMock(name="agent_aggregator_mock") + agent.name = "mock_agent" + agent.instruction = "mock_instruction" + agent.context = MagicMock() + agent.context.config = MagicMock() # Base config mock + agent.logger = MagicMock() return agent @pytest.fixture def t0_llm(mock_agent): - default_vars = {"TEST_VARIABLE_1": "Test value"} - llm = TensorZeroAugmentedLLM( + """Provides a standard instance of the class under test.""" + return TensorZeroOpenAIAugmentedLLM( agent=mock_agent, - model="tensorzero.test_chat", - request_params=RequestParams(template_vars=default_vars), + model="test_chat", + episode_id="ep-12345" ) - llm.call_tool = AsyncMock() - llm.logger = mock_agent.logger - llm.display = mock_agent.display - llm.show_tool_call = MagicMock() - llm.show_tool_result = MagicMock() - llm.show_assistant_message = AsyncMock() - - return llm - - -@pytest.mark.asyncio -async def test_adapt_t0_text_response(t0_llm): - """Test adapting a simple text response from T0.""" - t0_completion = ChatInferenceResponse( - inference_id=uuid7(), - episode_id=uuid7(), - variant_name="test_variant", - content=[T0Text(type="text", text="Hello there!")], - usage=Usage(input_tokens=10, output_tokens=5), - finish_reason=FinishReason.STOP, - ) - content_parts, executed_results, raw_tool_calls = await t0_llm._adapt_t0_native_completion( - t0_completion - ) +# --- Tests for _initialize_default_params --- - assert len(content_parts) == 1 - assert isinstance(content_parts[0], TextContent) - assert content_parts[0].text == "Hello there!" - assert executed_results == [] - assert raw_tool_calls == [] +def test_initialize_default_params_adds_prefix(t0_llm): + """Tests that the model name is correctly prefixed if it doesn't have it.""" + params = t0_llm._initialize_default_params({"model": "my-model"}) + assert params.model == "tensorzero::function_name::my-model" -def test_prepare_t0_system_params(t0_llm): - """Test preparation of the system parameters dictionary.""" - # Scenario 1: template_vars provided in RequestParams - # These vars are now expected to be part of the RequestParams passed to _prepare_t0_system_params - vars_in_params = {"PARAM_VAR_1": "Value from params"} - request_params_with_vars = RequestParams( - model="tensorzero.test_chat", template_vars=vars_in_params.copy() - ) - system_params = t0_llm._prepare_t0_system_params(request_params_with_vars) - assert system_params == vars_in_params - - # Scenario 2: template_vars in RequestParams, plus metadata arguments - vars_in_params_2 = {"PARAM_VAR_2": "Another value"} - request_params_meta = RequestParams( - model="tensorzero.test_chat", - template_vars=vars_in_params_2.copy(), - metadata={"tensorzero_arguments": {"TEST_VARIABLE_2": "Meta value"}}, - ) - system_params_meta = t0_llm._prepare_t0_system_params(request_params_meta) - # _prepare_t0_system_params starts with a copy of template_vars from the input RequestParams, - # then updates it with metadata. - expected_meta_params = vars_in_params_2.copy() - expected_meta_params.update({"TEST_VARIABLE_2": "Meta value"}) - assert system_params_meta == expected_meta_params - - # Scenario 3: Empty template_vars in RequestParams (default_factory=dict) - request_params_empty_vars = RequestParams( - model="tensorzero.test_chat" - ) # template_vars will be {} - system_params_empty = t0_llm._prepare_t0_system_params(request_params_empty_vars) - assert system_params_empty == {} - - # Scenario 4: Empty template_vars in RequestParams, with metadata - request_params_empty_with_meta = RequestParams( - model="tensorzero.test_chat", - metadata={"tensorzero_arguments": {"META_ONLY": "Meta only value"}}, - ) # template_vars will be {} - system_params_empty_meta = t0_llm._prepare_t0_system_params(request_params_empty_with_meta) - assert system_params_empty_meta == {"META_ONLY": "Meta only value"} - - -@pytest.mark.asyncio -async def test_prepare_t0_tools(t0_llm): - """Test fetching and formatting tools.""" - tool_schema = { - "type": "object", - "properties": {"input_text": {"type": "string"}}, - "required": ["input_text"], - } - # Create a proper Tool instance - mcp_tool = Tool( - name="tester-example_tool", - description="Reverses text.", - inputSchema=tool_schema, - ) +def test_initialize_default_params_keeps_existing_prefix(t0_llm): + """Tests that an existing prefix on the model name is preserved.""" + params = t0_llm._initialize_default_params({"model": "tensorzero::model_name::some-model"}) + assert params.model == "tensorzero::model_name::some-model" - t0_llm.aggregator.list_tools.return_value = ListToolsResult(tools=[mcp_tool]) - formatted_tools = await t0_llm._prepare_t0_tools() +def test_initialize_default_params_sets_defaults(t0_llm): + """Tests that standard RequestParams are set.""" + t0_llm.instruction = "Test System Prompt" + params = t0_llm._initialize_default_params({"model": "test_chat"}) + assert params.model == "tensorzero::function_name::test_chat" + assert params.systemPrompt == "Test System Prompt" + assert params.parallel_tool_calls is True + assert params.max_iterations == 10 + assert params.use_history is True - assert formatted_tools == [ - { - "name": "tester-example_tool", - "description": "Reverses text.", - "parameters": tool_schema, - } - ] +def test_base_url_uses_default_when_config_missing(mock_agent): + """Tests that the default URL is used when the config is not set.""" + # To test this, ensure the `tensorzero` attribute doesn't exist on the config mock + del mock_agent.context.config.tensorzero -@pytest.mark.asyncio -async def test_prepare_t0_tools_empty(t0_llm): - """Test when no tools are available.""" - t0_llm.aggregator.list_tools.return_value = ListToolsResult(tools=[]) - formatted_tools = await t0_llm._prepare_t0_tools() - assert formatted_tools is None + llm = TensorZeroOpenAIAugmentedLLM(agent=mock_agent, model="test") + assert llm._base_url() == "http://localhost:3000/openai/v1" -def test_initialize_default_params(t0_llm): - """Test the creation of default request parameters.""" - t0_llm.instruction = "Test System Prompt" - default_params = t0_llm._initialize_default_params({}) - assert default_params.model == "tensorzero.test_chat" - assert default_params.systemPrompt == "Test System Prompt" - assert default_params.maxTokens == 4096 - assert default_params.use_history is True - assert default_params.max_iterations == 20 - assert default_params.parallel_tool_calls is True - - -def test_block_to_dict(): - """Test converting various block types to dictionaries.""" - - # Pydantic-like model - class MockModel: - def __init__(self, a, b): - self.a = a - self.b = b - - def model_dump(self, mode=None): - return {"a": self.a, "b": self.b} - - pydantic_block = MockModel(1, "x") - assert TensorZeroAugmentedLLM.block_to_dict(pydantic_block) == {"a": 1, "b": "x"} - - # Object with __dict__ - class SimpleObj: - def __init__(self, name): - self.name = name - - dict_obj = SimpleObj("test") - assert TensorZeroAugmentedLLM.block_to_dict(dict_obj) == {"name": "test"} - - # Primitives - assert TensorZeroAugmentedLLM.block_to_dict("hello") == {"type": "raw", "content": "hello"} - assert TensorZeroAugmentedLLM.block_to_dict(123) == {"type": "raw", "content": 123} - assert TensorZeroAugmentedLLM.block_to_dict(None) == {"type": "raw", "content": None} - assert TensorZeroAugmentedLLM.block_to_dict([1, 2]) == {"type": "raw", "content": [1, 2]} - - # T0 Text type - t0_text = T0Text(type="text", text="fallback") - block_dict = TensorZeroAugmentedLLM.block_to_dict(t0_text) - assert block_dict.get("type") == "text" - assert block_dict.get("text") == "fallback" - - # Fallback (Unknown object) - class UnknownObj: - pass - - unknown = UnknownObj() - # Check type and content separately - result_dict = TensorZeroAugmentedLLM.block_to_dict(unknown) - assert result_dict.get("type") == "unknown" - assert result_dict.get("content") == str(unknown) - # Check the full dict if the parts are correct - assert result_dict == { - "type": "unknown", - "content": str(unknown), - } +# --- Tests for _prepare_api_request --- + +@patch('mcp_agent.llm.providers.augmented_llm_openai.OpenAIAugmentedLLM._prepare_api_request') +def test_prepare_api_request_with_template_vars(mock_super_prepare, t0_llm): + """Tests injection of template_vars into a new system message.""" + messages: List[ChatCompletionMessageParam] = [] + # The super call's return value has its own 'messages' list. We ignore it. + mock_super_prepare.return_value = {"model": "test_chat", "messages": []} + request_params = RequestParams(template_vars={"var1": "value1"}) + + # The method modifies the 'messages' list we pass in. + t0_llm._prepare_api_request(messages, [], request_params) + + # Assert against the 'messages' list that was passed in and modified. + assert len(messages) == 1 + system_message = messages[0] + assert system_message["role"] == "system" + assert system_message["content"] == [{"var1": "value1"}] + + +@patch('mcp_agent.llm.providers.augmented_llm_openai.OpenAIAugmentedLLM._prepare_api_request') +def test_prepare_api_request_merges_metadata(mock_super_prepare, t0_llm): + """Tests merging of tensorzero_arguments from metadata.""" + initial_system_message = ChatCompletionSystemMessageParam(role="system", content=[{"var1": "original"}]) + messages: List[ChatCompletionMessageParam] = [initial_system_message] + mock_super_prepare.return_value = {"model": "test_chat", "messages": messages} + request_params = RequestParams(metadata={"tensorzero_arguments": {"var2": "metadata_val"}}) + + t0_llm._prepare_api_request(messages, [], request_params) + + assert len(messages) == 1 + system_message = messages[0] + assert system_message["content"] == [{"var1": "original", "var2": "metadata_val"}] + + +@patch('mcp_agent.llm.providers.augmented_llm_openai.OpenAIAugmentedLLM._prepare_api_request') +def test_prepare_api_request_adds_episode_id(mock_super_prepare, t0_llm): + """Tests that episode_id is added to extra_body.""" + mock_super_prepare.return_value = {"model": "test_chat", "messages": []} + request_params = RequestParams() + + arguments = t0_llm._prepare_api_request([], [], request_params) + + assert "extra_body" in arguments + assert arguments["extra_body"]["tensorzero::episode_id"] == "ep-12345" + + +@patch('mcp_agent.llm.providers.augmented_llm_openai.OpenAIAugmentedLLM._prepare_api_request') +def test_prepare_api_request_all_features(mock_super_prepare, t0_llm): + """Tests all features working together.""" + initial_system_message = ChatCompletionSystemMessageParam(role="system", content="Original prompt") + messages: List[ChatCompletionMessageParam] = [initial_system_message] + mock_super_prepare.return_value = {"model": "test_chat", "messages": messages, "extra_body": {"existing": "val"}} + request_params = RequestParams( + template_vars={"var1": "value1"}, + metadata={"tensorzero_arguments": {"var2": "metadata_val"}} + ) + + arguments = t0_llm._prepare_api_request(messages, [], request_params) + + # Check system message (modified in-place) + system_message = messages[0] + assert system_message["role"] == "system" + assert system_message["content"] == [{"var1": "value1", "var2": "metadata_val"}] + + # Check extra_body (returned in arguments) + assert arguments["extra_body"]["tensorzero::episode_id"] == "ep-12345" + assert arguments["extra_body"]["existing"] == "val" \ No newline at end of file diff --git a/tests/unit/mcp_agent/llm/providers/test_multipart_converter_tensorzero.py b/tests/unit/mcp_agent/llm/providers/test_multipart_converter_tensorzero.py deleted file mode 100644 index e4c73ee6..00000000 --- a/tests/unit/mcp_agent/llm/providers/test_multipart_converter_tensorzero.py +++ /dev/null @@ -1,148 +0,0 @@ -from mcp.types import ( - CallToolResult, - EmbeddedResource, - ImageContent, - TextContent, - TextResourceContents, -) -from pydantic import AnyUrl - -from mcp_agent.llm.providers.multipart_converter_tensorzero import TensorZeroConverter -from mcp_agent.mcp.prompt_message_multipart import PromptMessageMultipart - - -def test_convert_mcp_user_text_message(): - mcp_msg = PromptMessageMultipart(role="user", content=[TextContent(type="text", text="Hi.")]) - expected_t0_msg = {"role": "user", "content": [{"type": "text", "text": "Hi."}]} - assert TensorZeroConverter.convert_mcp_to_t0_message(mcp_msg) == expected_t0_msg - - -def test_convert_mcp_assistant_text_message(): - mcp_msg = PromptMessageMultipart( - role="assistant", content=[TextContent(type="text", text="Hello there!")] - ) - expected_t0_msg = {"role": "assistant", "content": [{"type": "text", "text": "Hello there!"}]} - assert TensorZeroConverter.convert_mcp_to_t0_message(mcp_msg) == expected_t0_msg - - -def test_convert_tool_results_to_t0_user_message(): - tool_result_1 = CallToolResult(content=[TextContent(type="text", text="!dlrow ,olleH")]) - setattr(tool_result_1, "_t0_tool_use_id_temp", "toolu_01") - setattr(tool_result_1, "_t0_tool_name_temp", "tester-example_tool") - - tool_result_2 = CallToolResult(content=[TextContent(type="text", text='{"status": "ok"}')]) - setattr(tool_result_2, "_t0_tool_use_id_temp", "toolu_02") - setattr(tool_result_2, "_t0_tool_name_temp", "another_tool") - - results = [tool_result_1, tool_result_2] - expected_t0_msg = { - "role": "user", - "content": [ - { - "type": "tool_result", - "id": "toolu_01", - "name": "tester-example_tool", - "result": "!dlrow ,olleH", # String result - }, - { - "type": "tool_result", - "id": "toolu_02", - "name": "another_tool", - "result": {"status": "ok"}, # JSON object result - }, - ], - } - assert TensorZeroConverter.convert_tool_results_to_t0_user_message(results) == expected_t0_msg - assert not hasattr(tool_result_1, "_t0_tool_use_id_temp") - assert not hasattr(tool_result_2, "_t0_tool_use_id_temp") - - -def test_convert_tool_results_empty_list(): - assert TensorZeroConverter.convert_tool_results_to_t0_user_message([]) is None - - -def test_convert_mcp_image_message(): - """Test conversion of ImageContent.""" - # Valid PNG - img_data = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" - mcp_msg_png = PromptMessageMultipart( - role="user", content=[ImageContent(type="image", mimeType="image/png", data=img_data)] - ) - expected_png = { - "role": "user", - "content": [{"type": "image", "mime_type": "image/png", "data": img_data}], - } - assert TensorZeroConverter.convert_mcp_to_t0_message(mcp_msg_png) == expected_png - - # Valid JPEG - mcp_msg_jpeg = PromptMessageMultipart( - role="user", - content=[ImageContent(type="image", mimeType="image/jpeg", data="/9j/...")], - ) - expected_jpeg = { - "role": "user", - "content": [{"type": "image", "mime_type": "image/jpeg", "data": "/9j/..."}], - } - assert TensorZeroConverter.convert_mcp_to_t0_message(mcp_msg_jpeg) == expected_jpeg - - # Unsupported mime type (should default to png) - mcp_msg_unsupported = PromptMessageMultipart( - role="user", content=[ImageContent(type="image", mimeType="image/gif", data=img_data)] - ) - expected_unsupported = { - "role": "user", - "content": [ - {"type": "image", "mime_type": "image/png", "data": img_data} - ], # Defaults to png - } - assert ( - TensorZeroConverter.convert_mcp_to_t0_message(mcp_msg_unsupported) == expected_unsupported - ) - - # Missing data (should skip) - mcp_msg_no_data = PromptMessageMultipart( - role="user", content=[ImageContent(type="image", mimeType="image/png", data="")] - ) - assert TensorZeroConverter.convert_mcp_to_t0_message(mcp_msg_no_data) is None - - # Missing mimeType (should skip) - mcp_msg_no_mime = PromptMessageMultipart( - role="user", - content=[ImageContent(type="image", mimeType="", data=img_data)], # Empty mimeType - ) - assert TensorZeroConverter.convert_mcp_to_t0_message(mcp_msg_no_mime) is None - - -def test_convert_mcp_embedded_resource_skipped(): - """Test that EmbeddedResource is skipped.""" - # Create a valid dummy URL for TextResourceContents - url_str = "https://example.com/resource" - # Create minimal required fields for EmbeddedResource test - dummy_resource = TextResourceContents(text="dummy content", uri=AnyUrl(url_str)) - mcp_msg = PromptMessageMultipart( - role="user", - content=[EmbeddedResource(type="resource", resource=dummy_resource)], - ) - assert TensorZeroConverter.convert_mcp_to_t0_message(mcp_msg) is None - - -def test_convert_mcp_mixed_content(): - """Test conversion of message with mixed Text and Image content.""" - img_data = "base64data" - mcp_msg = PromptMessageMultipart( - role="user", - content=[ - TextContent(type="text", text="Describe this:"), - ImageContent(type="image", mimeType="image/png", data=img_data), - TextContent(type="text", text="and this text."), - ], - ) - expected_msg = { - "role": "user", - "content": [ - {"type": "text", "text": "Describe this:"}, - {"type": "image", "mime_type": "image/png", "data": img_data}, - {"type": "text", "text": "and this text."}, - ], - } - assert TensorZeroConverter.convert_mcp_to_t0_message(mcp_msg) == expected_msg From 8c1c74436df66c04ca15f88d9a9aaa96c8f4a455 Mon Sep 17 00:00:00 2001 From: aaronpolhamus Date: Mon, 4 Aug 2025 21:28:09 -0600 Subject: [PATCH 15/16] fix formatting in tests --- .../llm/providers/test_augmented_llm_tensorzero_unit.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/unit/mcp_agent/llm/providers/test_augmented_llm_tensorzero_unit.py b/tests/unit/mcp_agent/llm/providers/test_augmented_llm_tensorzero_unit.py index aadb55cc..beb5e041 100644 --- a/tests/unit/mcp_agent/llm/providers/test_augmented_llm_tensorzero_unit.py +++ b/tests/unit/mcp_agent/llm/providers/test_augmented_llm_tensorzero_unit.py @@ -1,12 +1,12 @@ -import pytest from unittest.mock import MagicMock, patch +import pytest from openai.types.chat import ChatCompletionMessageParam, ChatCompletionSystemMessageParam + from mcp_agent.agents.agent import Agent from mcp_agent.core.request_params import RequestParams from mcp_agent.llm.providers.augmented_llm_tensorzero_openai import TensorZeroOpenAIAugmentedLLM - # --- Fixtures --- @pytest.fixture From 837c0ee6872588f3c318c837d328341d1397a28f Mon Sep 17 00:00:00 2001 From: aaronpolhamus Date: Mon, 4 Aug 2025 21:31:36 -0600 Subject: [PATCH 16/16] final formatting fixes --- .../llm/providers/test_augmented_llm_tensorzero_unit.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/unit/mcp_agent/llm/providers/test_augmented_llm_tensorzero_unit.py b/tests/unit/mcp_agent/llm/providers/test_augmented_llm_tensorzero_unit.py index beb5e041..f0b53634 100644 --- a/tests/unit/mcp_agent/llm/providers/test_augmented_llm_tensorzero_unit.py +++ b/tests/unit/mcp_agent/llm/providers/test_augmented_llm_tensorzero_unit.py @@ -1,3 +1,4 @@ +from typing import List from unittest.mock import MagicMock, patch import pytest