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OllamaProvider built the /api/chat payload without the tools from LLMInput, so Ollama models were never told any tools existed and a ReActAgent backed by Ollama never ran one. The response side already parsed message.tool_calls. Send the tools in the OpenAI function format that /api/chat accepts, matching the other providers. Fixes affaan-m#3274 Signed-off-by: FenjuFu <fufenjupku@gmail.com>
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🪛 ast-grep (0.45.3)src/llm/providers/ollama.py[info] 106-106: use jsonify instead of json.dumps for JSON output (use-jsonify) [warning] 109-109: Request-controlled URL passed to urlopen; validate against an allowlist to prevent SSRF. (urlopen-unsanitized-data) 📝 SummarySummary by CodeRabbit
WalkthroughOllamaProvider checks model tool support and sends tool definitions only to supported models. It adds tool names to tool-result messages and generates IDs for tool calls that lack them. Tests cover capability lookup, request serialization, and ReAct tool execution. ChangesOllama tool support and execution
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~20 minutes Change: Bug fix · Severity of issue fixed: Medium Sequence Diagram(s)sequenceDiagram
participant ReActAgent
participant OllamaProvider
participant OllamaChat as Ollama /api/chat
participant ToolExecutor
ReActAgent->>OllamaProvider: Generate with tools
OllamaProvider->>OllamaChat: Send messages and supported tool definitions
OllamaChat->>OllamaProvider: Return tool calls
OllamaProvider->>ReActAgent: Return tool calls with IDs
ReActAgent->>ToolExecutor: Execute tool calls
ToolExecutor->>ReActAgent: Return tool results
ReActAgent->>OllamaProvider: Generate with tool results
Merge Risk: ⚪ Minimal · up to No actionable merge-blocking risk remains in the reviewed Ollama tool-support change. Security Architecture ReviewSecurity architecture risk: 🔵 Low · up to The change enables requested tool use through existing execution controls. No authorization bypass is established, but deployment-specific tool permissions and recovery guarantees remain unverified. Retained concerns Security review detailsSecurity Blast Radius
Trust Boundaries and Controls
Resilience and Maintainability Implications
Hardening Proposals
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✅ Passed checks (3 passed)
Full details: Linked Issues checkExplanation Issue
✨ Finishing Touches🧪 Generate unit tests (beta)
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Review comments at @tests/test_provider_tools.py:
- Line 171: Add type annotations to the
`test_ollama_provider_serializes_tools_and_parses_tool_calls` and `fake_urlopen`
function signatures: annotate `monkeypatch` as `pytest.MonkeyPatch`, the test
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[warning] 181-181: Configuring an LLM/agent client endpoint over http:// sends prompts and responses (and often API keys) in cleartext, exposing them to interception. Use https for the base_url.
Context: base_url="http://localhost:11434"
Note: [CWE-319] Cleartext Transmission of Sensitive Information.
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src/llm/providers/ollama.py (1)
81-82: LGTM!
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Thank you for building out the Ollama tool bridge. This is a useful direction, but two execution-contract issues need to be resolved before it is safe to merge:
- Tool definitions must be sent only when the selected model declares tool support. The current hard-coded Ollama models say supports_tools=false, so the bridge and model capability data disagree.
- Preserve the tool name and call identity through execution and in the returned tool result. Native Ollama calls can omit IDs, and multiple results otherwise lose attribution.
Please add end-to-end tests for multiple tool calls, missing native IDs, result ordering, and a model that does not support tools. The success condition is a capability-aware request plus unambiguous result correlation.
If you have bandwidth to make that revision, we would be happy to review it. If not, tell us and we will put the bridge hardening into the task queue after the next release. Thanks for contributing a meaningful provider integration.
… identity Tools are now forwarded only when the selected model declares tool support: catalogued models answer from ModelInfo.supports_tools (llama3.2 and mistral are tool models on ollama.com, codellama is not), and any other model is looked up once through /api/show, whose capabilities list is what the installed model declares. A failed lookup sends no tools. Native Ollama tool calls often have no id, so each one gets a unique id, and tool results are sent with tool_name resolved from the call they answer, so several results stay attributable. Signed-off-by: FenjuFu <92919259+FenjuFu@users.noreply.github.com>
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@haelyra Thanks, both points are addressed in 558c06c:
End-to-end tests run This and #3272 both touch the top of |
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Inline comments:
Review comments at @src/llm/providers/ollama.py:
- Around line 111-113: Update the exception handler in the Ollama capability
lookup to avoid caching False when `/api/show` fails, so later `generate()`
calls can retry; continue caching valid capability responses. Update the
failed-lookup case in
`test_ollama_provider_sends_tools_only_to_models_that_declare_them` to verify
tools are sent after a subsequent lookup succeeds.
Review comments at @tests/test_provider_tools.py:
- Around line 252-254: Add parameter and return type annotations to the
signature of test_ollama_provider_sends_tools_only_to_models_that_declare_them
and the other added helper and test functions, including _FakeOllama.__init__
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[info] 188-188: use jsonify instead of json.dumps for JSON output
Context: json.dumps({"capabilities": self.capabilities})
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 190-190: use jsonify instead of json.dumps for JSON output
Context: json.dumps(self.replies.pop(0))
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[warning] 219-219: Configuring an LLM/agent client endpoint over http:// sends prompts and responses (and often API keys) in cleartext, exposing them to interception. Use https for the base_url.
Context: base_url="http://localhost:11434"
Note: [CWE-319] Cleartext Transmission of Sensitive Information.
(llm-client-insecure-http-python)
src/llm/providers/ollama.py
[info] 104-104: use jsonify instead of json.dumps for JSON output
Context: json.dumps({"model": model})
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[warning] 107-107: Request-controlled URL passed to urlopen; validate against an allowlist to prevent SSRF.
Context: urllib.request.urlopen(req, timeout=10)
Note: [CWE-918] Server-Side Request Forgery (SSRF).
(urlopen-unsanitized-data)
Only an answered /api/show lookup is cached now, and the cache is replaced rather than mutated. A failed lookup sends no tools for that request and is retried on the next one, so a transient outage no longer disables tools for the provider's lifetime. Also annotate the test helpers and tests this PR adds. Signed-off-by: FenjuFu <fufenjupku@gmail.com>
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Fixes #3274
What Changed
OllamaProvider.generate()addstoolsto the/api/chatpayload (viaToolDefinition.to_openai_tool()) only when the model declares tool support.model_supports_tools()answers fromModelInfo.supports_toolsfor catalogued models and, for any other model, from thecapabilitieslist that/api/showreturns for the installed model (an answered lookup is cached per model; a failed lookup sends no tools for that request and is retried on the next). When the model has no tool support the request is sent withouttoolsand a warning is logged.llama3.2andmistralare nowsupports_tools=True(both carry thetoolscapability on ollama.com/library);codellamastaysFalse.id, so each parsedToolCallgets a unique id. When messages are serialized, atoolmessage carriestool_name, resolved from the assistant call with the sametool_call_id; that is the field Ollama uses to match a result to its call.tests/test_provider_tools.py: tool serialization and parsing; tools sent or withheld for catalogued,/api/show-declared, non-declaring and unreachable-lookup models (answered lookups cached, failed ones retried), a lookup that recovers after a failure; and end-to-endReActAgentruns for two id-less calls in one turn (unique ids, results in call order with matchingtool_call_idandtool_name), an unknown tool alongside a real one, and a model without tool support.Why This Change
The Ollama request never included tools, so Ollama models were never told any tools existed. A
ReActAgentbacked by Ollama could never run one, even though the provider already parsedmessage.tool_callson the response side. Every other provider forwards tools. Repro in #3274.Testing Done
ReActAgentagainst Ollama 0.35.0 withqwen2.5:0.5band aget_weathertool. Onmainthe request carried notoolsand no tool was called; with tools forwarded the model calledget_weather("Hefei")and the final answer used the result. I have not repeated the live run for this revision; the capability lookup and id/name handling are covered by the tests below.tests/test_provider_tools.py,test_executor.pyand the three other provider test files: 80 passed with the resolver and selector tests.ruff check src testsandmypyonollama.pyare clean. I did not runnode tests/run-all.js, because this change is Python-only.test_ollama_provider_serializes_generation_optionsstill asserts the exact payload), multiple calls without ids, result ordering, an unknown tool name, a model without tool support, and an unreachable/api/show.Type of Change
fix:Bug fixfeat:New featurerefactor:Code refactoringdocs:Documentationtest:Testschore:Maintenance/toolingci:CI/CD changesSecurity & Quality Checklist
Documentation
This PR is independent of #3272, which also edits
ollama.py(thecontentline, a few lines below this change). Whichever merges second may need a trivial rebase.